{"title":"Reports","description":null,"products":[{"product_id":"virtual-plc-and-soft-plc-market-report-2020-2025","title":"Virtual PLC \u0026 Soft PLC Market Report 2024-2030","description":"\u003cul\u003e\n\u003cli\u003eWhat is a soft PLC and what is a virtual PLC?\u003c\/li\u003e\n\u003cli\u003eWhich \u003cb\u003etechnologies \u003c\/b\u003eenable soft and virtual PLCs (e.g., virtualization technologies like containers and hypervisors)?\u003c\/li\u003e\n\u003cli\u003eWhat does \u003cb\u003ethe \u003c\/b\u003e\u003cb\u003es\u003c\/b\u003e\u003cb\u003eoft and virtual PLC market \u003c\/b\u003elook like (i.e., market size by segments, regions, industries)?\u003c\/li\u003e\n\u003cli\u003eWho are the leading vendors in the soft and virtual PLC market, and what are their products?\u003c\/li\u003e\n\u003cli\u003eWhich \u003cb\u003ebenefits \u003c\/b\u003eare customers seeing from their soft PLCs and virtual PLC setups, and which industries are most likely to \u003cb\u003eadopt\u003c\/b\u003e them?\u003c\/li\u003e\n\u003cli\u003eWhat are key \u003cb\u003etrends \u0026amp; challenges \u003c\/b\u003ein soft and virtual PLC space?\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cspan style=\"color: rgb(34, 34, 34); font-size: 21px; font-weight: 700;\"\u003eTable of Contents\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eVirtual PLC and Soft PLC Market 2024–2030 (PDF)\u003c\/b\u003e\u003c\/p\u003e\u003col\u003e\n\u003cli\u003eExecutive Summary\u003c\/li\u003e\n\u003cli\u003eIntroduction\u003col\u003e\n\u003cli\u003eIntroduction: Chapter overview and key takeaways\u003c\/li\u003e\n\u003cli\u003eList of scope or coverage changes compared to the 2020 virtual PLC and soft PLC report\u003c\/li\u003e\n\u003cli\u003eStarting point: There are 5 typical workloads in an industrial setting\u003c\/li\u003e\n\u003cli\u003eIn the ISA 95 model, control logic is tightly coupled to controller hardware\u003c\/li\u003e\n\u003cli\u003eTechnology now allows workloads to be decoupled from hardware\u003c\/li\u003e\n\u003cli\u003eThe extent of the hardware-software decoupling defines the PLC type\u003c\/li\u003e\n\u003cli\u003eThe shift to soft \u0026amp; virtual PLCs could present a classical innovators dilemma\u003c\/li\u003e\n\u003cli\u003eWhy it matters? PLC vendors may lose profitable business\u003c\/li\u003e\n\u003cli\u003eCase in point: Virtualization of Audi’s production system\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003c\/li\u003e\n\u003cli\u003eTechnology overview\u003col\u003e\n\u003cli\u003eTechnology overview: Chapter overview and key takeaways\u003c\/li\u003e\n\u003cli\u003eEvolution of industrial controllers\u003c\/li\u003e\n\u003cli\u003eTechnological advancements\u003c\/li\u003e\n\u003cli\u003eDeep dive: Containerization – Technology overview\u003c\/li\u003e\n\u003cli\u003eDeep dive: Hypervisors – Technology overview\u003c\/li\u003e\n\u003cli\u003eDeep dive: Hypervisors – Key examples of embedded hypervisors\u003c\/li\u003e\n\u003cli\u003eTechnical requirements for soft and virtual PLCs: Overview\u003c\/li\u003e\n\u003cli\u003eTechnical requirements for soft and virtual PLCs: Latency\u003c\/li\u003e\n\u003cli\u003eTechnical requirements for soft and virtual PLCs: Motion control\u003c\/li\u003e\n\u003cli\u003eTechnical requirements for soft and virtual PLCs : Safety \u0026amp; redundancy\u003c\/li\u003e\n\u003cli\u003eTechnical requirements for soft and virtual PLCs: Network design\u003c\/li\u003e\n\u003cli\u003eProgramming standard comparison\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003c\/li\u003e\n\u003cli\u003eMarket size \u0026amp; outlook\u003col\u003e\n\u003cli\u003eMarket size and outlook: Chapter overview and key takeaways\u003c\/li\u003e\n\u003cli\u003eGlobal soft and virtual PLC automation market: Overview\u003c\/li\u003e\n\u003cli\u003eGlobal soft and virtual PLC runtime market: Overview\u003c\/li\u003e\n\u003cli\u003eGlobal soft and virtual PLC runtime market: By product type\u003c\/li\u003e\n\u003cli\u003eHardware-specific soft PLC runtime market: Overview\u003c\/li\u003e\n\u003cli\u003eHardware-specific soft PLC runtime market: By type\u003c\/li\u003e\n\u003cli\u003eHardware-specific soft PLC runtime market: By region\u003c\/li\u003e\n\u003cli\u003eHardware-specific soft PLC runtime market: By industry\u003c\/li\u003e\n\u003cli\u003eHardware-specific soft PLC runtime market: By detailed industry\u003c\/li\u003e\n\u003cli\u003eHardware-agnostic soft PLC runtime market: Overview\u003c\/li\u003e\n\u003cli\u003eHardware-agnostic soft PLC runtime market: By type\u003c\/li\u003e\n\u003cli\u003eHardware-agnostic soft PLC runtime market: By region\u003c\/li\u003e\n\u003cli\u003eHardware-agnostic soft PLC runtime market: By industry\u003c\/li\u003e\n\u003cli\u003eHardware-agnostic soft PLC runtime market: By detailed industry\u003c\/li\u003e\n\u003cli\u003eVirtual PLC runtime market: Overview\u003c\/li\u003e\n\u003cli\u003eVirtual PLC runtime market: By type\u003c\/li\u003e\n\u003cli\u003eVirtual PLC runtime market: By region\u003c\/li\u003e\n\u003cli\u003eVirtual PLC runtime market: By industry\u003c\/li\u003e\n\u003cli\u003eVirtual PLC runtime market: By detailed industry\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003c\/li\u003e\n\u003cli\u003eCompetitive landscape\u003col\u003e\n\u003cli\u003eCompetitive landscape: Chapter overview and key takeaways\u003c\/li\u003e\n\u003cli\u003eCompany landscape: Overview\u003c\/li\u003e\n\u003cli\u003eList of main soft and virtual PLC runtime vendors\u003c\/li\u003e\n\u003cli\u003eGlobal hardware-specific soft PLC runtime market share\u003c\/li\u003e\n\u003cli\u003eGlobal hardware-agnostic soft PLC runtime market share\u003c\/li\u003e\n\u003cli\u003eGlobal virtual PLC runtime market share\u003c\/li\u003e\n\u003cli\u003eVendor deep dive: Beckhoff\u003c\/li\u003e\n\u003cli\u003eVendor deep dive: Phoenix Contact\u003c\/li\u003e\n\u003cli\u003eVendor deep dive: CODESYS\u003c\/li\u003e\n\u003cli\u003eVendor deep dive: Schneider Electric\u003c\/li\u003e\n\u003cli\u003eVendor deep dive: Siemens\u003c\/li\u003e\n\u003cli\u003eRole of key consortiums\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003c\/li\u003e\n\u003cli\u003eCustomer adoption\u003col\u003e\n\u003cli\u003eCustomer adoption: Chapter overview and key takeaways\u003c\/li\u003e\n\u003cli\u003eHow manufacturers envision the factory of the future – Key paradigms\u003c\/li\u003e\n\u003cli\u003ePerceived benefits of virtualized controllers\u003c\/li\u003e\n\u003cli\u003eSoft and virtual PLC adoption drivers\u003c\/li\u003e\n\u003cli\u003eSoft and virtual PLC adoption likelihood across industries\u003c\/li\u003e\n\u003cli\u003eContainerization of manufacturing software: Adoption approach\u003c\/li\u003e\n\u003cli\u003eContainerization of manufacturing software: Tools used\u003c\/li\u003e\n\u003cli\u003eContainerization of manufacturing software: Key challenges\u003c\/li\u003e\n\u003cli\u003eOther customer considerations: Key decision-making criteria\u003c\/li\u003e\n\u003cli\u003eOther customer considerations: Adoption concerns\u003c\/li\u003e\n\u003cli\u003eOther customer considerations: Willingness to pay\u003c\/li\u003e\n\u003cli\u003eSummary: Case studies\u003c\/li\u003e\n\u003cli\u003eFive key takeaways from the 4 case studies\u003c\/li\u003e\n\u003cli\u003eCase study: Kostad\u003c\/li\u003e\n\u003cli\u003eCase study: Cleaver-Brooks\u003c\/li\u003e\n\u003cli\u003eCase study: Gutshofbrauerei “Das Freie”\u003c\/li\u003e\n\u003cli\u003eCase study: Intidaya\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003c\/li\u003e\n\u003cli\u003eTrends \u0026amp; challenges\u003col\u003e\n\u003cli\u003eTrends and challenges: Chapter overview\u003c\/li\u003e\n\u003cli\u003eGeneral soft and virtual PLC market trends\u003c\/li\u003e\n\u003cli\u003eOperational and technical challenges\u003c\/li\u003e\n\u003cli\u003eBusiness and strategic challenges\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003c\/li\u003e\n\u003cli\u003eMethodology\u003c\/li\u003e\n\u003cli\u003eAbout IoT Analytics\u003c\/li\u003e\n\u003c\/ol\u003e\u003cp\u003e\u003cspan style=\"color: rgb(34, 34, 34); font-size: 24px; font-weight: 700;\"\u003eCompanies mentioned\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003eA selection of companies mentioned in the report.\u003c\/p\u003e\u003cp\u003eABB, B\u0026amp;R, Beckhoff, CJB, Codesys, Copadata, Festo, Horner Automation Group, IBHsoftec, ifm electronic, Jumo, Keba, LG Smartec, Kunbus, Logiccloud, Neuron Automation, OTee, Phoenix Contact, Rexroth, Rexygen, Rockwell Automation, Schneider Electirc, Siemens, SoftPLC, Turck, Wago, Weidmueller, Xentara\u003c\/p\u003e\u003ch3\u003eAbout the report\u003c\/h3\u003e\u003cp\u003eThe\u003cb\u003e Virtual PLC and Soft PLC Market Report 2024–2030 \u003c\/b\u003eis part of IoT Analytics’ ongoing coverage of \u003ca href=\"https:\/\/iot-analytics.com\/our-coverage\/industrial-iot\/\" target=\"_blank\" rel=\"noopener\"\u003eSmart Manufacturing and Industry 4.0\u003c\/a\u003e. The information presented in this report is based on the results of secondary research as well as qualitative research, i.e., interviews with experts who work at relevant vendors, integrators and end users. The document includes definitions for soft PLC and virtual PLCs, market projections, adoption drivers, the competitive landscape, key trends and developments, and relevant case studies.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eThe main purpose of this document is to help our readers understand the current virtual PLC and soft PLC landscape by defining, sizing, and analyzing the market.\u003c\/b\u003e\u003c\/p\u003e\u003ch3\u003eSoft PLC and virtual PLC market\u003c\/h3\u003e\u003cp\u003eThe market for soft and virtual PLC runtime is expected to grow at 18% CAGR, while the Virtual PLC market is expected to grow at a much faster pace. For the competitive landscape. Beckhoff, Codesys, Phoenix Contact, Schneider Electric, and Siemens are amongst the leaders in this space.\u003c\/p\u003e\u003cp\u003e\u003ca href=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2024\/12\/Virtual-PLC-and-Soft-PLC-runtime-market-2024-vweb.png\" target=\"_blank\" rel=\"noopener\"\u003e\u003cimg decoding=\"async\" class=\"aligncenter entered lazyloaded\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2024\/12\/Virtual-PLC-and-Soft-PLC-runtime-market-2024-vweb.png\" alt=\"Virtual PLC and Soft PLC runtime market 2024\" width=\"1920\" height=\"1017\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2024\/12\/Virtual-PLC-and-Soft-PLC-runtime-market-2024-vweb.png\" data-ll-status=\"loaded\" style=\"margin: 0px auto; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; background: transparent; clear: both; display: block;\"\u003e\u003c\/a\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e","brand":"IOT Analytics","offers":[{"title":"Single User License","offer_id":50506413768774,"sku":"IOTANALYTICS1","price":292500.0,"currency_code":"INR","in_stock":true},{"title":"Team User License","offer_id":50689512046662,"sku":"IOTANALYTICS1-2","price":390000.0,"currency_code":"INR","in_stock":true},{"title":"Enterprise Premium License","offer_id":50689512079430,"sku":"IOTANALYTICS1-3","price":585000.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0754\/2797\/1142\/files\/virtual-plc-and-soft-plc-market-report-2020-2025.png?v=1791613325"},{"product_id":"iot-asset-tracking-and-visibility-adoption-report-2025","title":"IoT Asset Tracking \u0026 Visibility Adoption Report 2025","description":"\u003cul\u003e\n\u003cli\u003eWhich are the \u003cb\u003emost tracked assets \u003c\/b\u003eand what is being tracked for each asset?\u003c\/li\u003e\n\u003cli\u003eWhich \u003cb\u003euse cases \u003c\/b\u003eare enabled from asset-tracking solutions?\u003c\/li\u003e\n\u003cli\u003eWhich are the \u003cb\u003emost used tracking technologies\u003c\/b\u003e, and which company systems are integrated with the tracking solution?\u003c\/li\u003e\n\u003cli\u003eHow \u003cb\u003escalable\/integrated \u003c\/b\u003eare the implemented solutions, and how is the data transmitted\/analyzed?\u003c\/li\u003e\n\u003cli\u003eWhich are the \u003cb\u003emost used vendors\u003c\/b\u003e, and how satisfied are their customers?\u003c\/li\u003e\n\u003cli\u003eWhat are the \u003cb\u003estrengths and weaknesses \u003c\/b\u003eof individual vendors in the market?\u003c\/li\u003e\n\u003cli\u003eHow are adopters \u003cb\u003eselecting\u003c\/b\u003e asset-tracking solutions?\u003c\/li\u003e\n\u003cli\u003eWhat \u003cb\u003echallenges\u003c\/b\u003e did they face when implementing, and what tips do they have for a \u003cb\u003esuccessful implementation\u003c\/b\u003e?\u003c\/li\u003e\n\u003cli\u003eWhat \u003cb\u003eROI\u003c\/b\u003e have companies seen from their implementations, and how did this meet their expectations?\u003c\/li\u003e\n\u003cli\u003eHow much are companies \u003cb\u003espending\u003c\/b\u003e on asset tracking and how is that \u003cb\u003espending expected \u003c\/b\u003eto develop in 2025?\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cspan style=\"color: rgb(34, 34, 34); font-size: 21px; font-weight: 700;\"\u003eTable of Contents\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eIoT Asset Tracking \u0026amp; Visibility Adoption Report 2025 (PDF)\u003c\/b\u003e\u003c\/p\u003e\u003col\u003e\u003cli\u003e\u003col\u003e\u003col\u003e\n\u003cli\u003eExecutive Summary\u003c\/li\u003e\n\u003cli\u003eIntroduction\u003col\u003e\n\u003cli\u003eWhat is Asset Tracking in the context of this report\u003c\/li\u003e\n\u003cli\u003eAsset tracking plays a crucial role in companies’ supply chains\u003c\/li\u003e\n\u003cli\u003eGoing into 2025, supply chain is one of the main topics for CEOs\u003c\/li\u003e\n\u003cli\u003eThe interest in search terms related to asset tracking and supply chain is slowly growing\u003c\/li\u003e\n\u003cli\u003eCompanies with a focus on asset tracking are seeing the results of that interest\u003c\/li\u003e\n\u003cli\u003eThere are many reasons why companies adopt IoT asset-tracking solutions\u003c\/li\u003e\n\u003cli\u003eThe report is segmented into 5 chapters\u003c\/li\u003e\n\u003cli\u003eThe report analyzes 15 different asset types\u003c\/li\u003e\n\u003cli\u003e… and 10 technologies used for asset tracking…\u003c\/li\u003e\n\u003cli\u003e… based on a survey of 100 end-users of asset-tracking solutions\u003c\/li\u003e\n\u003cli\u003eExamples of companies who participated in the research\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003c\/li\u003e\n\u003cli\u003eState of asset tracking\u003col\u003e\n\u003cli\u003eChapter 3: State of asset tracking – Overview and key takeaways\u003c\/li\u003e\n\u003cli\u003eAsset tracking overview\u003c\/li\u003e\n\u003cli\u003eWhat is driving asset tracking in the Pharma and F\u0026amp;B industries: Cold chains\u003c\/li\u003e\n\u003cli\u003eTypes of assets tracked\u003c\/li\u003e\n\u003cli\u003eTracking examples: Unfinished goods in production – Example: Denchi tracks unfinished batteries in production using barcodes.\u003c\/li\u003e\n\u003cli\u003eTracking examples: Employees\/workers – Example: Salco tracks workers using a UWB solution.\u003c\/li\u003e\n\u003cli\u003eTracking examples: Parcels – Example: Altru tracks parcels using Bluetooth-enabled sensors.\u003c\/li\u003e\n\u003cli\u003eNumber of assets tracked\u003c\/li\u003e\n\u003cli\u003eAsset attributes tracked\u003c\/li\u003e\n\u003cli\u003eTracking temperature: Sensitech provides a platform to see asset temperature over time and accepted ranges\u003c\/li\u003e\n\u003cli\u003eTracking Utilization: Samsara provides special “Utilization Reports” that show how often assets are used\u003c\/li\u003e\n\u003cli\u003eAsset tracking use cases: Overall\u003c\/li\u003e\n\u003cli\u003eAsset tracking use cases: By asset type\u003c\/li\u003e\n\u003cli\u003eAsset tracking use cases: By region, and company size\u003c\/li\u003e\n\u003cli\u003eAsset tracking use cases: By industry\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003c\/li\u003e\n\u003cli\u003eTechnology insights\u003col\u003e\n\u003cli\u003eChapter 4: Technology insights – Overview and key takeaways\u003c\/li\u003e\n\u003cli\u003eConnectivity technologies: Overview\u003c\/li\u003e\n\u003cli\u003eConnectivity technologies: By asset type\u003c\/li\u003e\n\u003cli\u003eTracking shipping containers: Hapag Lloyd uses a mix of satellite and cellular technologies\u003c\/li\u003e\n\u003cli\u003eSoftware and platforms that support asset tracking: Overview\u003c\/li\u003e\n\u003cli\u003eSoftware and platforms that support asset tracking: By asset type\u003c\/li\u003e\n\u003cli\u003ePlatform example: Integrating into SAP ERP\u003c\/li\u003e\n\u003cli\u003ePlatform example: Oracle’s EAM Asset Management solution\u003c\/li\u003e\n\u003cli\u003ePlatform example: Verizon’s Fleet Management solution “Verizon Connect Reveal”\u003c\/li\u003e\n\u003cli\u003eTechnology highlights: Overview\u003c\/li\u003e\n\u003cli\u003eTechnology deep-dive: Scalability of asset-tracking solutions\u003c\/li\u003e\n\u003cli\u003eTechnology deep-dive: Integration with company systems\u003c\/li\u003e\n\u003cli\u003eIntegration affecting success of tracking projects\u003c\/li\u003e\n\u003cli\u003eTechnology deep-dive: Data transmission frequency\u003c\/li\u003e\n\u003cli\u003eData transmission frequency affecting success of tracking projects\u003c\/li\u003e\n\u003cli\u003eTechnology deep-dive: Analysis urgency of asset tracking data\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003c\/li\u003e\n\u003cli\u003eVendor insights\u003col\u003e\n\u003cli\u003eChapter 5: Vendor insights – Overview and key takeaways\u003c\/li\u003e\n\u003cli\u003e10 most mentioned asset-tracking vendors: Overview\u003c\/li\u003e\n\u003cli\u003e10 most mentioned asset-tracking vendors: Satisfaction \u0026amp; expectations\u003c\/li\u003e\n\u003cli\u003e10 most mentioned asset-tracking vendors: By asset tracked\u003c\/li\u003e\n\u003cli\u003eExtensive list with all vendors that respondents have worked with\u003c\/li\u003e\n\u003cli\u003eConnectivity technologies and hardware offerings of select vendors\u003c\/li\u003e\n\u003cli\u003eOverview: Vendor strengths and weaknesses\u003c\/li\u003e\n\u003cli\u003eOpinion deep dives: Vendor strengths\u003c\/li\u003e\n\u003cli\u003eOpinion deep dives: Vendor weaknesses\u003c\/li\u003e\n\u003cli\u003eOpinion deep dives: By vendor: SAP, in-house, and Oracle\u003c\/li\u003e\n\u003cli\u003eOpinion deep dives: By vendor: IBM, Microsoft, Honeywell, Zebra, Samsara\u003c\/li\u003e\n\u003cli\u003eOpinion deep dives: By vendor: Verizon, Project44, Asset Panda\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003c\/li\u003e\n\u003cli\u003eDrivers, success factors \u0026amp; challenges\u003col\u003e\n\u003cli\u003eChapter 6: Drivers, success factors \u0026amp; challenges – Overview and key takeaways\u003c\/li\u003e\n\u003cli\u003eOverview: Asset-tracking implementation drivers \u0026amp; decision-making criteria\u003c\/li\u003e\n\u003cli\u003eTop decision-making criteria for asset-tracking solutions: By region, industry, and company size\u003c\/li\u003e\n\u003cli\u003eTop decision-making criteria for asset-tracking solutions: By detailed industry\u003c\/li\u003e\n\u003cli\u003eDecision-making criteria deep-dive: Overview\u003c\/li\u003e\n\u003cli\u003eExample: Cost of asset-tracking solutions\u003c\/li\u003e\n\u003cli\u003eExample: Incorporating data in existing systems\u003c\/li\u003e\n\u003cli\u003eDecision-making criteria deep-dive: By region, industry, size\u003c\/li\u003e\n\u003cli\u003eDecision-making criteria deep-dive: By detailed industry\u003c\/li\u003e\n\u003cli\u003eGoals when implementing an asset-tracking solution: Overview\u003c\/li\u003e\n\u003cli\u003eGoals when implementing an asset-tracking solution: By detailed industry\u003c\/li\u003e\n\u003cli\u003eExamples: How specific companies achieved their asset tracking goals\u003c\/li\u003e\n\u003cli\u003eChallenges when implementing asset tracking: Overview\u003c\/li\u003e\n\u003cli\u003eChallenges when implementing asset tracking: XX\u003c\/li\u003e\n\u003cli\u003eChapter 7: Spending, ROI \u0026amp; business outlook 2025 – Overview and key takeaways\u003c\/li\u003e\n\u003cli\u003eAsset-tracking spending: Overview\u003c\/li\u003e\n\u003cli\u003eAsset-tracking spending: By asset type\u003c\/li\u003e\n\u003cli\u003eAsset-tracking spending: By detailed industry\u003c\/li\u003e\n\u003cli\u003eROI of asset-tracking solutions: Overview\u003c\/li\u003e\n\u003cli\u003eROI of asset-tracking solutions: By segment and asset tracked\u003c\/li\u003e\n\u003cli\u003eReasons for a high ROI of an asset-tracking solution\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003c\/li\u003e\n\u003cli\u003eSpending, ROI \u0026amp; business outlook 2025\u003col\u003e\n\u003cli\u003eResults of asset-tracking implementations: Overview\u003c\/li\u003e\n\u003cli\u003eResults of asset-tracking implementations: By segment and asset type\u003c\/li\u003e\n\u003cli\u003eResults of asset-tracking implementations: By asset type detailed\u003c\/li\u003e\n\u003cli\u003eSpending outlook for 2025: Overview\u003c\/li\u003e\n\u003cli\u003eSpending outlook for 2025: By detailed industry\u003c\/li\u003e\n\u003cli\u003eSpending outlook for 2025: By asset type\u003c\/li\u003e\n\u003cli\u003e5 key drivers of higher spending (based on respondent comments)\u003c\/li\u003e\n\u003cli\u003eReasons for increased spending\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003c\/li\u003e\n\u003cli\u003eMethodology\u003c\/li\u003e\n\u003cli\u003eAppendix\u003c\/li\u003e\n\u003cli\u003eAbout IoT Analytics\u003c\/li\u003e\n\u003c\/ol\u003e\u003c\/ol\u003e\u003c\/li\u003e\u003c\/ol\u003e\u003cp\u003e\u003cspan style=\"color: rgb(34, 34, 34); font-size: 24px; font-weight: 700;\"\u003e\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eCompanies mentioned\u003c\/b\u003e  \u003c\/p\u003e\u003cp\u003eA selection of companies mentioned in the report.  \u003c\/p\u003e\u003cp\u003eAsset Panda, Honeywell, IBM, Microsoft, Oracle, Project 44, SAP, Samsara, Sensitech, Verizon, Zebra  \u003c\/p\u003e\u003cp\u003e \u003cspan style=\"color: rgb(34, 34, 34); font-size: 24px; font-weight: 700;\"\u003eAbout the report\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003eThe \u003cb\u003eIoT Asset Tracking \u0026amp; Visibility Adoption Report 2025 \u003c\/b\u003eis part of IoT Analytics’ ongoing coverage of the \u003ca href=\"https:\/\/iot-analytics.com\/our-coverage\/general-iot\/\" target=\"_blank\" rel=\"noopener\"\u003eIoT in general\u003c\/a\u003e. The information presented in this report is based on an extensive survey of 100 adopters of asset-tracking solutions in the manufacturing, retail, and construction industries. The purpose is to inform other market participants about the current state of asset tracking across companies. Survey participants were selected randomly, and their knowledge was verified independently. To ensure complete objectivity, IoT Analytics did not alter or supplement any survey results and did not accept participants who were suggested by third parties (e.g., customers from specific vendors)—and where it’s heading.\u003c\/p\u003e\u003ch4\u003eUnderstand the current state of IoT asset tracking adoption\u003c\/h4\u003e\u003cp\u003eThe IoT Asset Tracking \u0026amp; Visibility Adoption Report 2025 is a data-centric market research publication by IoT Analytics. It explores the real-world adoption of IoT-based asset tracking and visibility solutions. Based on a global survey of 100 qualified decision-makers, the report investigates how companies track physical assets using technologies like GPS, RFID, and IoT sensors. It highlights adoption levels, tracked asset types, vendor involvement, and spending patterns across industries, offering C-level executives and strategists a comprehensive reference point for benchmarking.\u003c\/p\u003e\u003ch6\u003eStructured analysis across key areas of asset tracking\u003c\/h6\u003e\u003ch6\u003eThe report is organized into clearly defined chapters, each covering a specific aspect of IoT-based asset tracking and visibility adoption:\u003c\/h6\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cb\u003eExecutive summary.\u003c\/b\u003e Highlights of the key findings and conclusions from the survey analysis.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eIntroduction.\u003c\/b\u003e Context and definitions, including the scope of asset types, environments, and visibility goals.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eState of asset tracking.\u003c\/b\u003e Examines which assets are tracked, how many, which attributes are monitored, and the implementation footprint across use cases.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eTechnology insights.\u003c\/b\u003e Reviews tagging technologies, connectivity protocols, software platforms, integration levels, and data transmission frequency.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eVendor insights.\u003c\/b\u003e Details which solution providers are used, customer satisfaction levels, and vendor strengths\/weaknesses.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eDrivers, success factors \u0026amp; challenges.\u003c\/b\u003e Covers project goals, implementation bottlenecks, and best practices.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eSpending, ROI \u0026amp; business outlook 2025.\u003c\/b\u003e Discusses current and planned investment levels, ROI findings, and future expectations.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eMethodology and appendix.\u003c\/b\u003e Outlines survey methodology, respondent demographics, and additional charts.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch5\u003eInsights into what companies are doing in the field\u003c\/h5\u003e\u003ch5\u003eThe report provides a detailed snapshot of how companies are applying IoT-based asset tracking today. Based on end-user input, it allows market participants to understand what is being tracked, how it is being tracked, and why:\u003c\/h5\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cb\u003eAsset types and tracked data.\u003c\/b\u003e Understand which assets are being monitored and what attributes—like location, temperature, or vibration—are tracked by end-users.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eScale of deployment.\u003c\/b\u003e See how many assets are currently tracked per type and what share of total assets companies aim to monitor in full rollouts.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eTechnology and integration.\u003c\/b\u003e Learn which connectivity technologies and sensor types are used in practice, how often data is transmitted, and how tracking systems are integrated into enterprise platforms like ERP or inventory management.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eSoftware and use cases.\u003c\/b\u003e Discover which software platforms support tracking and what use cases—such as theft prevention, predictive maintenance, or inventory optimization—are actively enabled by users.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eVendor landscape.\u003c\/b\u003e Identify which solution providers are being used, what parts of the solution they deliver, and how satisfied users are with their performance.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eSpending and ROI.\u003c\/b\u003e Benchmark how much companies are spending annually, how budgets are expected to change in 2025, and what levels of ROI are achieved across asset types.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eImplementation realities.\u003c\/b\u003e Gain insight into how end-users select solutions, handle time-sensitive data, overcome deployment challenges, and what they cite as key success factors.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eA downloadable sample of the report is available to preview the structure, explore example insights, and assess the data depth. It provides a grounded foundation for organizations looking to benchmark or plan their IoT asset tracking initiatives.\u003c\/p\u003e","brand":"IOT Analytics","offers":[{"title":"Single User License","offer_id":50506413932614,"sku":"IOTANALYTICS2","price":292500.0,"currency_code":"INR","in_stock":true},{"title":"Team User License","offer_id":50689517322310,"sku":"IOTANALYTICS2-2","price":390000.0,"currency_code":"INR","in_stock":true},{"title":"Enterprise Premium License","offer_id":50689517584454,"sku":"IOTANALYTICS2-3","price":585000.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0754\/2797\/1142\/files\/iot-asset-tracking-and-visibility-adoption-report-2025.png?v=1791613097"},{"product_id":"list-of-generative-ai-projects-2025","title":"List of Generative AI Projects 2025","description":"\u003ch5\u003eAbout the database\u003c\/h5\u003e\u003ch5\u003eThe database is suited for\u003c\/h5\u003e\u003cul\u003e\n\u003cli\u003eAI strategy\/business case development\u003c\/li\u003e\n\u003cli\u003eSector scan+Customer\/vendor selection\u003c\/li\u003e\n\u003cli\u003eCompetitive analysis\u003c\/li\u003e\n\u003cli\u003eGo-to-market\/market entry strategy\u003c\/li\u003e\n\u003cli\u003eAnd more\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch5\u003eThe list is a structured repository of 530 generative AI projects\u003c\/h5\u003e\u003ch5\u003eDatabase structure\u003c\/h5\u003e\u003ctable\u003e\u003cthead\u003e\u003ctr\u003e\u003cth\u003e\u003c\/th\u003e\u003c\/tr\u003e\u003c\/thead\u003e\u003c\/table\u003e\u003ctable\u003e  \u003cthead\u003e   \u003ctr\u003e    \u003ctd\u003e    \u003cp\u003e\u003cb\u003eColumn name\u003c\/b\u003e        \u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd\u003e    \u003cp\u003e\u003cb\u003eDescription\u003c\/b\u003e       \u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e  \u003c\/thead\u003e  \u003ctbody\u003e\n\u003ctr\u003e   \u003ctd\u003e   \u003cp\u003eCompany      \u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd\u003e   \u003cp\u003eName of the company that implemented the project.     \u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e  \u003ctr\u003e   \u003ctd\u003e   \u003cp\u003eIndustry (ISIC classification)      \u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd\u003e   \u003cp\u003eIndustry classification (ISIC code) of the customer     \u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e  \u003ctr\u003e   \u003ctd\u003e   \u003cp\u003eProject description      \u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd\u003e   \u003cp\u003eA brief description of the project     \u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e  \u003ctr\u003e   \u003ctd\u003e   \u003cp\u003eCountry      \u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd\u003e   \u003cp\u003eCountry that the project took place in     \u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e  \u003ctr\u003e   \u003ctd\u003e   \u003cp\u003eRegion      \u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd\u003e   \u003cp\u003eRegion that the project took place in     \u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e  \u003ctr\u003e   \u003ctd\u003e   \u003cp\u003eVendor      \u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd\u003e   \u003cp\u003eName of the vendor that has published the case study\/project on   their website     \u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e  \u003ctr\u003e   \u003ctd\u003e   \u003cp\u003eYear      \u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd\u003e   \u003cp\u003eYear that the project was implemented     \u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e  \u003ctr\u003e   \u003ctd\u003e   \u003cp\u003eLink      \u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd\u003e   \u003cp\u003eUnique identifier of each case study\/project     \u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e  \u003ctr\u003e   \u003ctd\u003e   \u003cp\u003eKey department and activities that are improved by each project      \u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd\u003e   \u003cp\u003eEach project is grouped into one or more of the follogin   departments: Sales, Marketing, Operations\/mfg, Maintenance\/field service,   Finance and account, Human resources, IT\/technology, Research and   development, Customer service\/support, Legal and compliance, Procurement,   Logistics and supply chain, Corporate strategy\/business development, Facility   management. A project can touch mulitple departments. Each department is   broken down into key activities.     \u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e \u003c\/tbody\u003e\n\u003c\/table\u003e\u003cp\u003e   \u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e\u003ch5\u003e\u003cspan style=\"background-color: transparent; font-size: 24px;\"\u003eCompanies mentioned\u003c\/span\u003e\u003c\/h5\u003e\u003ch5\u003eA selection of companies mentioned in the report.\u003c\/h5\u003e\u003ch5\u003eAMD  AWS  Accenture  Alibaba  Anthropic Baidu   Capgemini  Cerebras   Cognizant   Cohere  Google   Groq  Huawei  Hugging  Face  IBM  Infosys  Microsoft  Nvidia  OpenAI\u003c\/h5\u003e\u003cp\u003e\u003cspan style=\"color: rgb(34, 34, 34); font-size: 18px; font-weight: 700;\"\u003e\u003cbr\u003e\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cspan style=\"color: rgb(34, 34, 34); font-size: 18px; font-weight: 700;\"\u003eOur insights are trusted by global industry leaders\u003c\/span\u003e\u003c\/p\u003e\u003ch5\u003e\n\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/samsung_logo_grey_150x74.png\" alt=\"samsung_logo_grey\" title=\"samsung_logo_grey_150x74\" class=\"wp-image-121416 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/samsung_logo_grey_150x74.png\" data-ll-status=\"loaded\" style=\"background: transparent; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; position: relative; margin: 0px;\"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/qualcomm_logo_grey_150x74.png\" alt=\"qualcomm_logo_grey\" title=\"qualcomm_logo_grey_150x74\" class=\"wp-image-121414 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/qualcomm_logo_grey_150x74.png\" data-ll-status=\"loaded\" style=\"background: transparent; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; position: relative; margin: 0px;\"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2021\/03\/logo-sony.png\" alt=\"logo-sony\" title=\"logo-sony\" class=\"wp-image-139261 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2021\/03\/logo-sony.png\" data-ll-status=\"loaded\" style=\"background: transparent; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; position: relative; margin: 0px;\"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2020\/05\/Siemens-logo.png\" alt=\"Siemens logo\" title=\"Siemens logo\" class=\"wp-image-135837 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2020\/05\/Siemens-logo.png\" data-ll-status=\"loaded\" style=\"background: transparent; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; position: relative; margin: 0px;\"\u003e\n\u003c\/h5\u003e\u003ch5\u003e\u003cspan style=\"background-color: transparent;\"\u003eThe leading generative AI companies\u003c\/span\u003e\u003c\/h5\u003e\u003ch5\u003e\u003ca href=\"https:\/\/iot-analytics.com\/author\/joaquin-fernandez\/\" target=\"_self\"\u003eJoaquin Fernandez\u003c\/a\u003e\u003c\/h5\u003e\u003ch2\u003eThe rise of generative AI: Rapid market growth and widespread adoption\u003c\/h2\u003e\u003cp\u003e\u003cb\u003eGenerative AI market surpassed $25 billion in 2024.\u003c\/b\u003e Over two years, the combined generative AI software and services market (including foundation models and model management platforms) skyrocketed from a mere $191 million market in 2022 to $25.6 billion in 2024,* according to IoT Analytics’ 263-page \u003ca href=\"https:\/\/iot-analytics.com\/product\/generative-ai-market-report-2025-2030\/\" target=\"_blank\" rel=\"noreferrer noopener\"\u003eGenerative AI Market Report 2025–2030\u003c\/a\u003e (published January 2025). According to the analysis in the report, the acceleration of generative AI adoption across industries is driving this growth, with businesses increasingly incorporating AI-driven capabilities into their operations. Since the introduction of breakthrough Generative AI models, \u003ca href=\"https:\/\/iot-analytics.com\/our-coverage\/ceo-insights\/\" target=\"_blank\" rel=\"noreferrer noopener\"\u003eCEOs have increasingly discussed AI and its workplace applications in their earnings calls\u003c\/a\u003e, and companies have raced to leverage this technology.\u003c\/p\u003e\u003cp\u003e\u003cb\u003e*Note\u003c\/b\u003e \u003cb\u003e:\u003c\/b\u003e The combined market size for generative AI foundation models, model management platforms, and services does not include the market for individual generative AI applications (such as ChatGPT).\u003c\/p\u003e\u003cp\u003e\u003cb\u003eKey adopter\u003c\/b\u003e \u003cb\u003equote\u003c\/b\u003e\u003c\/p\u003e\u003cblockquote\u003e“We’re finding tangible ways to leverage GenAI to improve the customer, member, and associate experience. We’re leveraging data and LLMs from others and building our own.”\u003cbr\u003eDoug McMillon, CEO of \u003cb\u003eWalmart\u003c\/b\u003e (during \u003ca href=\"https:\/\/www.retaildive.com\/news\/walmart-generative-ai-product-data-points\/724782\/\" target=\"_blank\" rel=\"noreferrer noopener\"\u003eWalmart’s Q2 2025 earnings call\u003c\/a\u003e on August 15, 2024)\u003c\/blockquote\u003e\u003cp\u003eThe AI hardware market—specifically, data center GPUs—also experienced vast growth, climbing from $17 billion in 2022 to $125 billion in 2024 as major hyperscalers  and large IT software companies (most notably, \u003cb\u003eSalesforce \u003c\/b\u003eand \u003cb\u003eMeta\u003c\/b\u003e) raced to expand their cloud and AI capabilities using the powerful processors.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eAbout IoT Analytics’ generative AI market coverage\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eInsights in this article are from IoT Analytics’ 263-page \u003ca href=\"https:\/\/iot-analytics.com\/product\/generative-ai-market-report-2025-2030\/\" target=\"_blank\" rel=\"noreferrer noopener\"\u003eGenerative AI Market Report 2025–2030\u003c\/a\u003e, its 3rd report about generative AI in general and its 2nd major market report on the topic.\u003c\/p\u003e\u003cp\u003eWhile traditionally focused on the intersection of industry and technology, IoT Analytics has covered the AI markets since 2017, starting with industrial AI and predictive maintenance applications. Over the years, it expanded its scope to broader technology and enterprise trends, including (generative) AI, given its far-reaching impact across industries.\u003c\/p\u003e\u003cfigure\u003e\u003ca href=\"https:\/\/iot-analytics.com\/product\/generative-ai-market-report-2025-2030\/\" target=\"_blank\" rel=\" noreferrer noopener\"\u003e\u003cimg decoding=\"async\" width=\"600\" height=\"338\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2025\/03\/Generative-AI-Market-Report-2025-2030-vw-cover.png\" alt=\"Generative AI market report 2025-2030 cover\" class=\"wp-image-160565 entered lazyloaded\" data-lazy-srcset=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2025\/03\/Generative-AI-Market-Report-2025-2030-vw-cover.png 600w, https:\/\/iot-analytics.com\/wp-content\/uploads\/2025\/03\/Generative-AI-Market-Report-2025-2030-vw-cover-480x270.png 480w\" data-lazy-sizes=\"(min-width: 0px) and (max-width: 480px) 480px, (min-width: 481px) 600px, 100vw\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2025\/03\/Generative-AI-Market-Report-2025-2030-vw-cover.png\" data-ll-status=\"loaded\" sizes=\"(min-width: 0px) and (max-width: 480px) 480px, (min-width: 481px) 600px, 100vw\" srcset=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2025\/03\/Generative-AI-Market-Report-2025-2030-vw-cover.png 600w, https:\/\/iot-analytics.com\/wp-content\/uploads\/2025\/03\/Generative-AI-Market-Report-2025-2030-vw-cover-480x270.png 480w\" style=\"margin: 0px; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: bottom; background: transparent;\"\u003e\u003c\/a\u003e\u003c\/figure\u003e\u003cfigure\u003e\u003cimg fetchpriority=\"high\" decoding=\"async\" width=\"1920\" height=\"1008\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on-async--click=\"actions.showLightbox\" data-wp-on-async--load=\"callbacks.setButtonStyles\" data-wp-on-async-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2023\/12\/Leading-generative-AI-companies-vw.png\" alt=\"Leading generative AI companies\" class=\"wp-image-160543\" srcset=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2023\/12\/Leading-generative-AI-companies-vw.png 1920w, https:\/\/iot-analytics.com\/wp-content\/uploads\/2023\/12\/Leading-generative-AI-companies-vw-1280x672.png 1280w, https:\/\/iot-analytics.com\/wp-content\/uploads\/2023\/12\/Leading-generative-AI-companies-vw-980x515.png 980w, https:\/\/iot-analytics.com\/wp-content\/uploads\/2023\/12\/Leading-generative-AI-companies-vw-480x252.png 480w\" sizes=\"(min-width: 0px) and (max-width: 480px) 480px, (min-width: 481px) and (max-width: 980px) 980px, (min-width: 981px) and (max-width: 1280px) 1280px, (min-width: 1281px) 1920px, 100vw\" style=\"padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: bottom; background: transparent; cursor: zoom-in; margin: 0px;\"\u003e\u003cb class=\"lightbox-trigger\" type=\"button\" aria-haspopup=\"dialog\" aria-label=\"Enlarge\" data-wp-init=\"callbacks.initTriggerButton\" data-wp-on-async--click=\"actions.showLightbox\" data-wp-style--right=\"state.imageButtonRight\" data-wp-style--top=\"state.imageButtonTop\" style=\"font-family: \" open sans blinkmacsystemfont ui roboto neue helvetica arial sans-serif align-items: center backdrop-filter: blur saturate background-color: rgba border-width: initial border-color: border-radius: cursor: zoom-in display: flex height: justify-content: opacity: position: absolute right: top: width: z-index: transition: opacity box-shadow: none border-style: solid padding: letter-spacing:\u003e\u003c\/b\u003e\u003c\/figure\u003e\u003cul\u003e\u003cli\u003e\u003cb class=\"lightbox-trigger\" type=\"button\" aria-haspopup=\"dialog\" aria-label=\"Enlarge\" data-wp-init=\"callbacks.initTriggerButton\" data-wp-on-async--click=\"actions.showLightbox\" data-wp-style--right=\"state.imageButtonRight\" data-wp-style--top=\"state.imageButtonTop\" style=\"font-family: \" open sans blinkmacsystemfont ui roboto neue helvetica arial sans-serif align-items: center backdrop-filter: blur saturate background-color: rgba border-width: initial border-color: border-radius: cursor: zoom-in display: flex height: justify-content: opacity: position: absolute right: top: width: z-index: transition: opacity box-shadow: none border-style: solid padding: letter-spacing:\u003e\u003cb\u003eFor generative AI end users:\u003c\/b\u003e Understanding who is ahead, who is upcoming, and the strengths and weaknesses of individual players and their models is important when building generative AI solutions and making important vendor and architecture decisions.\u003c\/b\u003e\u003c\/li\u003e\u003c\/ul\u003e\u003ch5\u003e\u003cb class=\"lightbox-trigger\" type=\"button\" aria-haspopup=\"dialog\" aria-label=\"Enlarge\" data-wp-init=\"callbacks.initTriggerButton\" data-wp-on-async--click=\"actions.showLightbox\" data-wp-style--right=\"state.imageButtonRight\" data-wp-style--top=\"state.imageButtonTop\" style=\"font-family: \" open sans blinkmacsystemfont ui roboto neue helvetica arial sans-serif align-items: center backdrop-filter: blur saturate background-color: rgba border-width: initial border-color: border-radius: cursor: zoom-in display: flex height: justify-content: opacity: position: absolute right: top: width: z-index: transition: opacity box-shadow: none border-style: solid padding: letter-spacing:\u003eThe rise of generative AI: Rapid market growth and widespread adoption\u003c\/b\u003e\u003c\/h5\u003e\u003ch5\u003e\u003cb class=\"lightbox-trigger\" type=\"button\" aria-haspopup=\"dialog\" aria-label=\"Enlarge\" data-wp-init=\"callbacks.initTriggerButton\" data-wp-on-async--click=\"actions.showLightbox\" data-wp-style--right=\"state.imageButtonRight\" data-wp-style--top=\"state.imageButtonTop\" style=\"font-family: \" open sans blinkmacsystemfont ui roboto neue helvetica arial sans-serif align-items: center backdrop-filter: blur saturate background-color: rgba border-width: initial border-color: border-radius: cursor: zoom-in display: flex height: justify-content: opacity: position: absolute right: top: width: z-index: transition: opacity box-shadow: none border-style: solid padding: letter-spacing:\u003e\u003cb\u003eGenerative AI market surpassed $25 billion in 2024.\u003c\/b\u003e Over two years, the combined generative AI software and services market (including foundation models and model management platforms) skyrocketed from a mere $191 million market in 2022 to $25.6 billion in 2024,* according to IoT Analytics’ 263-page \u003ca href=\"https:\/\/iot-analytics.com\/product\/generative-ai-market-report-2025-2030\/\" target=\"_blank\" rel=\"noreferrer noopener\"\u003eGenerative AI Market Report 2025–2030\u003c\/a\u003e (published January 2025). According to the analysis in the report, the acceleration of generative AI adoption across industries is driving this growth, with businesses increasingly incorporating AI-driven capabilities into their operations. Since the introduction of breakthrough Generative AI models, \u003ca href=\"https:\/\/iot-analytics.com\/our-coverage\/ceo-insights\/\" target=\"_blank\" rel=\"noreferrer noopener\"\u003eCEOs have increasingly discussed AI and its workplace applications in their earnings calls\u003c\/a\u003e, and companies have raced to leverage this technology.\u003c\/b\u003e\u003c\/h5\u003e\u003ch5\u003e\u003cb class=\"lightbox-trigger\" type=\"button\" aria-haspopup=\"dialog\" aria-label=\"Enlarge\" data-wp-init=\"callbacks.initTriggerButton\" data-wp-on-async--click=\"actions.showLightbox\" data-wp-style--right=\"state.imageButtonRight\" data-wp-style--top=\"state.imageButtonTop\" style=\"font-family: \" open sans blinkmacsystemfont ui roboto neue helvetica arial sans-serif align-items: center backdrop-filter: blur saturate background-color: rgba border-width: initial border-color: border-radius: cursor: zoom-in display: flex height: justify-content: opacity: position: absolute right: top: width: z-index: transition: opacity box-shadow: none border-style: solid padding: letter-spacing:\u003e\u003cb\u003e*Note\u003c\/b\u003e \u003cb\u003e:\u003c\/b\u003e The combined market size for generative AI foundation models, model management platforms, and services does not include the market for individual generative AI applications (such as ChatGPT).\u003c\/b\u003e\u003c\/h5\u003e\u003ch5\u003e\u003cb class=\"lightbox-trigger\" type=\"button\" aria-haspopup=\"dialog\" aria-label=\"Enlarge\" data-wp-init=\"callbacks.initTriggerButton\" data-wp-on-async--click=\"actions.showLightbox\" data-wp-style--right=\"state.imageButtonRight\" data-wp-style--top=\"state.imageButtonTop\" style=\"font-family: \" open sans blinkmacsystemfont ui roboto neue helvetica arial sans-serif align-items: center backdrop-filter: blur saturate background-color: rgba border-width: initial border-color: border-radius: cursor: zoom-in display: flex height: justify-content: opacity: position: absolute right: top: width: z-index: transition: opacity box-shadow: none border-style: solid padding: letter-spacing:\u003e\u003cb\u003eKey adopter\u003c\/b\u003e \u003cb\u003equote\u003c\/b\u003e\u003c\/b\u003e\u003c\/h5\u003e\u003ch5\u003e\n\u003cb class=\"lightbox-trigger\" type=\"button\" aria-haspopup=\"dialog\" aria-label=\"Enlarge\" data-wp-init=\"callbacks.initTriggerButton\" data-wp-on-async--click=\"actions.showLightbox\" data-wp-style--right=\"state.imageButtonRight\" data-wp-style--top=\"state.imageButtonTop\" style=\"font-family: \" open sans blinkmacsystemfont ui roboto neue helvetica arial sans-serif align-items: center backdrop-filter: blur saturate background-color: rgba border-width: initial border-color: border-radius: cursor: zoom-in display: flex height: justify-content: opacity: position: absolute right: top: width: z-index: transition: opacity box-shadow: none border-style: solid padding: letter-spacing:\u003e“We’re finding tangible ways to leverage GenAI to improve the customer, member, and associate experience. We’re leveraging data and LLMs from others and building our o\u003c\/b\u003e\u003cb class=\"lightbox-trigger\" type=\"button\" aria-haspopup=\"dialog\" aria-label=\"Enlarge\" data-wp-init=\"callbacks.initTriggerButton\" data-wp-on-async--click=\"actions.showLightbox\" data-wp-style--right=\"state.imageButtonRight\" data-wp-style--top=\"state.imageButtonTop\" style=\"font-family: \" open sans blinkmacsystemfont ui roboto neue helvetica arial sans-serif align-items: center backdrop-filter: blur saturate background-color: rgba border-width: initial border-color: border-radius: cursor: zoom-in display: flex height: justify-content: opacity: position: absolute right: top: width: z-index: transition: opacity box-shadow: none border-style: solid padding: letter-spacing:\u003eDoug McMillon, CEO of \u003cb\u003eWalmart\u003c\/b\u003e (during \u003ca href=\"https:\/\/www.retaildive.com\/news\/walmart-generative-ai-product-data-points\/724782\/\" target=\"_blank\" rel=\"noreferrer noopener\"\u003eWalmart’s Q2 2025 earnings call\u003c\/a\u003e on\u003c\/b\u003e\n\u003c\/h5\u003e\u003cp\u003e\u003cb class=\"lightbox-trigger\" type=\"button\" aria-haspopup=\"dialog\" aria-label=\"Enlarge\" data-wp-init=\"callbacks.initTriggerButton\" data-wp-on-async--click=\"actions.showLightbox\" data-wp-style--right=\"state.imageButtonRight\" data-wp-style--top=\"state.imageButtonTop\" style=\"font-family: \" open sans blinkmacsystemfont ui roboto neue helvetica arial sans-serif align-items: center backdrop-filter: blur saturate background-color: rgba border-width: initial border-color: border-radius: cursor: zoom-in display: flex height: justify-content: opacity: position: absolute right: top: width: z-index: transition: opacity box-shadow: none border-style: solid padding: letter-spacing:\u003eThe AI hardware market—specifically, data center GPUs—also experienced vast growth, climbing from $17 billion in 2022 to $125 billion in 2024 as major hyperscalers  and large IT software companies (most notably, \u003cb\u003eSalesforce \u003c\/b\u003eand \u003cb\u003eMeta\u003c\/b\u003e) raced to expand their cloud and AI capabilities using the powerful processors.\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cb class=\"lightbox-trigger\" type=\"button\" aria-haspopup=\"dialog\" aria-label=\"Enlarge\" data-wp-init=\"callbacks.initTriggerButton\" data-wp-on-async--click=\"actions.showLightbox\" data-wp-style--right=\"state.imageButtonRight\" data-wp-style--top=\"state.imageButtonTop\" style=\"font-family: \" open sans blinkmacsystemfont ui roboto neue helvetica arial sans-serif align-items: center backdrop-filter: blur saturate background-color: rgba border-width: initial border-color: border-radius: cursor: zoom-in display: flex height: justify-content: opacity: position: absolute right: top: width: z-index: transition: opacity box-shadow: none border-style: solid padding: letter-spacing:\u003e\u003cbr\u003e\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e","brand":"IOT Analytics","offers":[{"title":"Team User License","offer_id":50506416422982,"sku":"IOTANALYTICS3","price":78000.0,"currency_code":"INR","in_stock":true},{"title":"Enterprise Premium License","offer_id":50689512013894,"sku":"IOTANALYTICS3-2","price":156000.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0754\/2797\/1142\/files\/list-of-generative-ai-projects-2025.png?v=1791613235"},{"product_id":"global-cloud-projects-report-and-database-2024","title":"Global Cloud Projects Report and Database 2024","description":"\u003ch5\u003eAbout the database\u003c\/h5\u003e\u003cp\u003eThe \u003cb\u003eGlobal Cloud Projects Report and Database 2024\u003c\/b\u003e is a structured \u003cb\u003erepository of 8,374 projects\u003c\/b\u003e from five of the largest cloud vendors (Microsoft, AWS, Google, Oracle, Alibaba).All projects in the list represent public information and have been published on the respective vendor’s website (as of June 2024). In order for a project to be included in the list, it needs to include either a public cloud IaaS or cloud PaaS service from one of the five vendors. The\u003cb\u003e list has 40,677 total entries\u003c\/b\u003e as every individual cloud service for every project is listed. Accompanying the database is a 188-page report analyzing 8,000 customer implementations of the largest cloud vendors, including a deep dive into IoT cloud projects.\u003c\/p\u003e\u003cp\u003eA fifth of the cloud case studies that were uploaded in the vendor’s websites in the past year have an AI element, with Google taking the highest relative AI share. A third of these are Generative AI case studies and of those ones, Microsoft has the highest share. The surge of AI can be seen by the products that grew the most in the past year (mentions in case studies) which are Amazon SageMaker, Azure OpenAI Service, and Google Vertex AI for AWS, Microsoft, and Google respectively.\u003c\/p\u003e\u003ch3\u003eQuestions answered\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eHow do AWS, Microsoft, Google, Oracle, and Alibaba compare by \u003cb\u003ecountry\/region\/industry\/customer size?\u003c\/b\u003e\n\u003c\/li\u003e\n\u003cli\u003eHow many case studies did each hyperscaler add in the \u003cb\u003epast year\u003c\/b\u003e and where (region\/industry\/size)?\u003c\/li\u003e\n\u003cli\u003eHow does this dataset \u003cb\u003ecompare to 2023\u003c\/b\u003e? What are the \u003cb\u003emost notable changes \u003c\/b\u003e(services\/industries\/regions)?\u003c\/li\u003e\n\u003cli\u003eHow many \u003cb\u003eAI\u003c\/b\u003e and \u003cb\u003eGenAI\u003c\/b\u003e \u003cb\u003ecase studies \u003c\/b\u003ewere added in the past year? Which \u003cb\u003evendors\u003c\/b\u003e are \u003cb\u003eleading\u003c\/b\u003e and which industries are featured the most?\u003c\/li\u003e\n\u003cli\u003eWho are some of the \u003cb\u003ekey clients \u003c\/b\u003efor each hyperscaler by industry?\u003c\/li\u003e\n\u003cli\u003eWhich \u003cb\u003ecloud services \u003c\/b\u003eare most often used and which cloud services are the fastest growing?\u003c\/li\u003e\n\u003cli\u003eHow many \u003cb\u003eIoT projects \u003c\/b\u003eis each vendor highlighting?\u003c\/li\u003e\n\u003cli\u003eIn which \u003cb\u003eindustries\u003c\/b\u003e are \u003cb\u003eIoT projects \u003c\/b\u003emost prominent?\u003c\/li\u003e\n\u003cli\u003eWhich \u003cb\u003ecloud products \u003c\/b\u003ecompliment (i.e., appear most often) the \u003cb\u003eIoT projects\u003c\/b\u003e?\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eCompanies mentioned\u003c\/h3\u003e\u003cp\u003eA selection of companies mentioned in the report.\u003c\/p\u003e\u003cp\u003eAlibaba   AWS   Google  Microsoft   Oracle\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e","brand":"IOT Analytics","offers":[{"title":"Single User License","offer_id":50506416488518,"sku":"IOTANALYTICS4","price":97500.0,"currency_code":"INR","in_stock":true},{"title":"Team User License","offer_id":50506416521286,"sku":"IOTANALYTICS4-2","price":234000.0,"currency_code":"INR","in_stock":true},{"title":"Enterprise Premium License","offer_id":50506416554054,"sku":"IOTANALYTICS4-3","price":351000.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0754\/2797\/1142\/files\/global-cloud-projects-report-and-database-2024.png?v=1791613023"},{"product_id":"generative-ai-market-report-2025-2030","title":"Generative AI Market Report 2025-2030","description":"\u003cp\u003e\u003cspan style=\"color: rgb(34, 34, 34); font-size: 24px; font-weight: bold;\"\u003eQuestions answered\u003c\/span\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eWhat is \u003cb\u003eGenAI\u003c\/b\u003e\u003cb\u003e, \u003c\/b\u003eand what are its \u003cb\u003etechnological components\u003c\/b\u003e?\u003c\/li\u003e\n\u003cli\u003eWhich \u003cb\u003eGenAI\u003c\/b\u003e\u003cb\u003e use cases and applications \u003c\/b\u003eare being prioritized by enterprises right now?\u003c\/li\u003e\n\u003cli\u003eWhat is the current \u003cb\u003emarket size for \u003c\/b\u003e\u003cb\u003eGenAI\u003c\/b\u003e\u003cb\u003e, \u003c\/b\u003eand what are the \u003cb\u003emarket shares of key players?\u003c\/b\u003e\n\u003c\/li\u003e\n\u003cli\u003eWho is leading the market for \u003cb\u003eGenAI\u003c\/b\u003e\u003cb\u003e models and platforms\u003c\/b\u003e?\u003c\/li\u003e\n\u003cli\u003eWhich companies offer \u003cb\u003eAI accelerators \u003c\/b\u003ebeyond NVIDIA?\u003c\/li\u003e\n\u003cli\u003eWhich \u003cb\u003econsulting and professional services companies \u003c\/b\u003eare selling the most GenAI projects?\u003c\/li\u003e\n\u003cli\u003eHow do the \u003cb\u003eleading \u003c\/b\u003e\u003cb\u003eGenAI\u003c\/b\u003e\u003cb\u003e models \u003c\/b\u003ecompare?\u003c\/li\u003e\n\u003cli\u003eWhat are some of the important \u003cb\u003eimplementation considerations \u003c\/b\u003efor GenAI?\u003c\/li\u003e\n\u003cli\u003eWhat are the current and next \u003cb\u003etrends and challenges \u003c\/b\u003earound GenAI?\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch3\u003eCompanies mentioned\u003c\/h3\u003e\n\u003cp\u003e\u003cb\u003e\u003c\/b\u003e\u003cspan style=\"color: rgb(34, 34, 34); font-size: 21px; font-weight: bold;\"\u003e\u003cstrong\u003eAMD AWS Accenture Alibaba Anthropic Baidu Capgemini Cerebra Cognizant Cohere Google Groq Huawe Hugging Face IBM Infosys Microsoft Nvidia OpenAI\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cspan style=\"color: rgb(34, 34, 34); font-size: 24px; font-weight: bold;\"\u003eAbout the report\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003eThe \u003cb\u003eGenerative AI Market Report 2025-2030 \u003c\/b\u003eis part of IoT Analytics’ ongoing coverage of enterprise technology markets. The information presented in this report is based on the results of secondary research and qualitative research, i.e., interviews with experts with experts in the field. The main purpose of this document is to help our readers understand the current Generative AI (GenAI) landscape and potential use cases.\u003c\/p\u003e\n\u003cp\u003e\u003ca href=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2025\/01\/Generative-AI-definition-understanding-relationship-with-AI-ML-and-DL.png\" rel=\"noopener\" target=\"_blank\"\u003e\u003cimg decoding=\"async\" class=\"aligncenter entered lazyloaded\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2025\/01\/Generative-AI-definition-understanding-relationship-with-AI-ML-and-DL.png\" alt=\"Generative AI definition understanding relationship with AI ML and DL\" width=\"1280\" height=\"720\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2025\/01\/Generative-AI-definition-understanding-relationship-with-AI-ML-and-DL.png\" data-ll-status=\"loaded\" style=\"margin: 0px auto; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; background: transparent; clear: both; display: block;\"\u003e\u003c\/a\u003e\u003c\/p\u003e\n\u003ch3\u003eWhat is Generative AI?\u003c\/h3\u003e\n\u003cp\u003eGenAI is a deep-learning technique based on variational autoencoders, generative adversarial networks, and transformer-based models.\u003c\/p\u003e\n\u003ch3\u003eWhat is a Data Center GPU?\u003c\/h3\u003e\n\u003cp\u003eThe market segment for data center GPUs refers to specialized graphics processing units designed to handle the extensive computational demands of modern data centers. These GPUs are engineered to accelerate a variety of complex workloads, including high-performance computing, DL, ML, and large-scale graphics processing tasks. The market does not include spending on CPUs, consumer-grade GPUs, or application-specific integrated circuits (ASICs). It includes GPU systems such as specialized GPU server racks. The market only includes external spending but not spending on developing own chips e.g., Google’s TPUs or AWS’ Trainium or Inferentium.\u003c\/p\u003e\n\u003ch3\u003eWhat are foundational models and model management platforms?\u003c\/h3\u003e\n\u003cp\u003eThis market segment includes both foundational models and model management platforms.\u003c\/p\u003e\n\u003col\u003e\n\u003cli\u003eFoundational models are large-scale, pre-trained models that can be adapted to a wide variety of tasks without the need for training fromscratch, such as language processing, image recognition, and decision-making algorithms.\u003c\/li\u003e\n\u003cli\u003eModel management platforms are software platforms that enable users to deploy, fine-tune, and call GenAI models. Model managementplatforms allow the use of different GenAI models and are not limited to one single model vendor.The market does not include chatbots and applications such as ChatGPT.\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003ch3\u003eWhat are Gen AI services?\u003c\/h3\u003e\n\u003cp\u003eGenAI services represent a specialized market segment dedicated to consulting, integration, and implementation support for organizations aiming to integrate GenAI capabilities. These services are tailored to help businesses conceptualize, develop, and execute strategies that leverage GenAI technologies for enhanced innovation, efficiency, and value creation. Services includes consulting, integration, and managed services.\u003c\/p\u003e\n\u003ch3\u003eFive building blocks make up the Generative AI stack\u003c\/h3\u003e\n\u003cp\u003e\u003ca href=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2025\/01\/Generative-AI-tech-stack.png\" rel=\"noopener\" target=\"_blank\"\u003e\u003cimg decoding=\"async\" class=\"aligncenter entered lazyloaded\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2025\/01\/Generative-AI-tech-stack.png\" alt=\"Generative AI Tech Stack\" width=\"1280\" height=\"720\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2025\/01\/Generative-AI-tech-stack.png\" data-ll-status=\"loaded\" style=\"margin: 0px auto; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; background: transparent; clear: both; display: block;\"\u003e\u003c\/a\u003eThe GenAI tech stack includes 5 building blocks:\u003c\/p\u003e\n\u003col\u003e\n\u003cli\u003eApplications (e.g., AI-powered software solutions)\u003c\/li\u003e\n\u003cli\u003ePlatform tools for deployment and management\u003c\/li\u003e\n\u003cli\u003eFoundation models like OpenAI’s GPT 4\u003c\/li\u003e\n\u003cli\u003eCritical backend infrastructure such as data processing and GPUs\u003c\/li\u003e\n\u003cli\u003eGovernance frameworks for security and compliance\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003ch3\u003eThe report includes a structured repository of 530 generative AI projects*\u003c\/h3\u003e\n\u003ch4\u003eDatabase structure\u003c\/h4\u003e\n\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003eColumn name\u003c\/th\u003e\n\u003cth\u003eDescription\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eCompany\u003c\/td\u003e\n\u003ctd\u003eName of the company that implemented the project.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eIndustry (ISIC classification)\u003c\/td\u003e\n\u003ctd\u003eIndustry classification (ISIC code) of the customer\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eProject description\u003c\/td\u003e\n\u003ctd\u003eA brief description of the project\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCountry\u003c\/td\u003e\n\u003ctd\u003eCountry that the project took place in\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRegion\u003c\/td\u003e\n\u003ctd\u003eRegion that the project took place in\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVendor\u003c\/td\u003e\n\u003ctd\u003eName of the vendor that has published the case study\/project on their website\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eYear\u003c\/td\u003e\n\u003ctd\u003eYear that the project was implemented\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLink\u003c\/td\u003e\n\u003ctd\u003eUnique identifier of each case study\/project\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eKey department and activities that are improved by each project\u003c\/td\u003e\n\u003ctd\u003eEach project is grouped into one or more of the follogin departments: Sales, Marketing, Operations\/mfg, Maintenance\/field service, Finance and account, Human resources, IT\/technology, Research and development, Customer service\/support, Legal and compliance, Procurement, Logistics and supply chain, Corporate strategy\/business development, Facility management. A project can touch mulitple departments. Each department is broken down into key activities.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch4\u003e\u003cbr\u003e\u003c\/h4\u003e\n\u003ch4\u003eThe database is suited for\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eAI strategy\/business case development\u003c\/li\u003e\n\u003cli\u003eSector scan+Customer\/vendor selection\u003c\/li\u003e\n\u003cli\u003eCompetitive analysis\u003c\/li\u003e\n\u003cli\u003eGo-to-market\/market entry strategy\u003c\/li\u003e\n\u003cli\u003eAnd more\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e*As part of the team user license and enterprise premium license. The database is also sold separately.\u003c\/p\u003e\n\u003ch3\u003e\u003cspan style=\"color: rgb(51, 51, 51); font-size: 16px;\"\u003eOur insights are trusted by global industry leaders\u003c\/span\u003e\u003c\/h3\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cfigure\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/abb_logo_grey_150x74_v2.png\" alt=\"abb_logo_grey\" title=\"abb_logo_grey_150x74_v2\" class=\"wp-image-121421 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/abb_logo_grey_150x74_v2.png\" data-ll-status=\"loaded\" style=\"background: transparent; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; position: relative; margin: 0px;\"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/samsung_logo_grey_150x74.png\" alt=\"samsung_logo_grey\" title=\"samsung_logo_grey_150x74\" class=\"wp-image-121416 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/samsung_logo_grey_150x74.png\" data-ll-status=\"loaded\" style=\"background: transparent; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; position: relative; margin: 0px;\"\u003e\u003c\/figure\u003e\n\u003cfigure\u003e\u003cspan class=\"et_pb_image_wrap\"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/Microsoft_logo_grey_150x74.png\" alt=\"Microsoft_logo_grey\" title=\"Microsoft_logo_grey_150x74\" class=\"wp-image-121422 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/Microsoft_logo_grey_150x74.png\" data-ll-status=\"loaded\" style=\"margin: 0px; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; background: transparent; position: relative;\"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2021\/03\/logo-sony.png\" alt=\"logo-sony\" title=\"logo-sony\" class=\"wp-image-139261 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2021\/03\/logo-sony.png\" data-ll-status=\"loaded\" style=\"background: transparent; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; position: relative; margin: 0px;\"\u003e\u003c\/span\u003e\u003c\/figure\u003e\n\u003cp\u003e\u003cspan class=\"et_pb_image_wrap\"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2020\/05\/Siemens-logo.png\" alt=\"Siemens logo\" title=\"Siemens logo\" class=\"wp-image-135837 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2020\/05\/Siemens-logo.png\" data-ll-status=\"loaded\" style=\"padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; background: transparent; position: relative; margin: 0px;\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003ci\u003e\u003c\/i\u003e\u003cbr\u003e\u003c\/p\u003e","brand":"IOT Analytics","offers":[{"title":"Single User License","offer_id":50506417930310,"sku":"IOTANALYTICS5","price":292500.0,"currency_code":"INR","in_stock":true},{"title":"Team User License","offer_id":50689517256774,"sku":"IOTANALYTICS5-2","price":390000.0,"currency_code":"INR","in_stock":true},{"title":"Enterprise Premium License","offer_id":50689517289542,"sku":"IOTANALYTICS5-3","price":585000.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0754\/2797\/1142\/files\/generative-ai-market-report-2025-2030.png?v=1791612993"},{"product_id":"it-ot-convergence-insights-report-2024","title":"IT OT Convergence Insights Report 2024","description":"\u003cp\u003e\u003cspan style=\"color: rgb(34, 34, 34); font-size: 24px; font-weight: 700;\"\u003eAbout the report\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003eThe\u003cb\u003e IT OT Convergence Insights Report 2024 \u003c\/b\u003eis part of IoT Analytics’ ongoing coverage of \u003ca href=\"https:\/\/iot-analytics.com\/our-coverage\/industrial-iot\/\" target=\"_blank\" rel=\"noopener\"\u003eIndustrial IoT\u003c\/a\u003e. The information presented in this report is based on the results of secondary research and qualitative research, i.e., interviews with multiple stakeholders from the IT and OT domain between December 2023 and September 2024. The document includes the definition of IT-OT convergence, drivers and challenges of IT-OT convergence, 27 unique convergence themes grouped into seven categories, and more than 70 corresponding examples of IT-OT convergence implementation.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eThe main purpose of this document is to help our readers understand the IT-OT convergence phenomenon by appreciating the various ways in which IT and OT are converging, which are explained throughout the document with real-world examples.\u003c\/b\u003e\u003c\/p\u003e\u003ch5\u003eIT OT convergence market\u003c\/h5\u003e\u003cp\u003eThe global IT\/OT convergence market is set to experience substantial growth, projected to exceed $1 trillion by 2030. As of 2023, the combined market for IT software, OT software, and OT hardware, influenced by IT\/OT convergence, was valued at $720 billion.\u003c\/p\u003e\u003cp\u003eThe IT\/OT Convergence Insights Report 2024 forecasts a compound annual growth rate (CAGR) of approximately 8.5% until 2030, driving the market to reach $1.3 trillion by the end of the decade. This growth is attributed to factors such as increasing digital transformation initiatives and the integration of IT and OT systems.\u003c\/p\u003e\u003ch5\u003e27 key themes that drive IT OT convergence\u003c\/h5\u003e\u003cp\u003eIT-OT convergence integrates IT and OT to enhance industrial operations. IT-OT convergence involves combining IT systems that manage data with OT systems that control physical processes. The need for real-time data and flexible infrastructure drive the convergence. Companies are adopting convergence solutions to access real-time data and overcome legacy OT limitations. Key benefits include better visibility, security, and adaptability in operations. The following key themes are driving IT-OT Convergence:\u003c\/p\u003e\u003col\u003e\n\u003cli\u003e Agile, DevOps, Modularity and as-a-service models brings flexibility to OT software development and deployment.\u003c\/li\u003e\n\u003cli\u003ePopular IT technologies are getting adopted in OT. Examples include High-level programming languages, Low-code tools, use of AI, APIs such as REST and GraphQL, software marketplaces, containerization and AR (Augmented Reality)\u003c\/li\u003e\n\u003cli\u003eSeveral IT cybersecurity principles like Zero Trust, TPM (Trusted Platform Module), Network segmentation are coming to OT. IEC-62443 integrates IT cybersecurity principles.\u003c\/li\u003e\n\u003cli\u003eIT and OT software applications running in the cloud and at the edge. IT applications at the OT edge enhance real-time processing. OT applications in the cloud offer scalability.\u003c\/li\u003e\n\u003cli\u003eIT-OT data integration enabled by Protocol converters, Message brokers, Advanced wireless technologies, Industrial DataOps, Digital twins, IoT data integration platforms, and Device management solutions is central in IT-OT convergence.\u003c\/li\u003e\n\u003cli\u003eCollaborative IT-OT teams, Cross-domain training and Interdisciplinary hiring lead to IT-OT COnvergence.\u003c\/li\u003e\n\u003cli\u003eOT hardware is becoming more IT-like by advancements like Hardware\/software decoupling, OT hardware virtualization and Advanced computing at the edge.\u003c\/li\u003e\n\u003c\/ol\u003e\u003ch3\u003eQuestions answered\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eWhat is IT-OT convergence?\u003c\/li\u003e\n\u003cli\u003eWhat are the drivers and challenges of IT-OT convergence?\u003c\/li\u003e\n\u003cli\u003eWhat is the overall addressable IT-OT convergence market?\u003c\/li\u003e\n\u003cli\u003eWhat are the key IT-OT convergence categories and themes?\u003c\/li\u003e\n\u003cli\u003eWhat are key examples of IT technologies adopted in OT settings?\u003c\/li\u003e\n\u003cli\u003eWhich new organizational and technological themes are emerging to foster IT-OT collaboration?\u003c\/li\u003e\n\u003cli\u003eHow is OT hardware evolving to cope with future IT-OT convergence?\u003c\/li\u003e\n\u003cli\u003eWhat are some key examples of vendors offering solutions for IT-OT convergence?\u003c\/li\u003e\n\u003cli\u003eWhat are some key examples of industrial companies and manufacturers adopting IT-OT convergence topics?\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eCompanies mentioned\u003c\/h3\u003e\u003cp\u003eAWS  Airbus  Base Automation  Beckhoff  Bosch Rexroth  Critical Manufacturing  Crosser  Electrolux  HighByte  HiveMQ  Inductive Automation  Integration Objects  Litmus  Microsoft  PTC  Palo Alto Networks  Phoenix Contact  Schneider  Siemens  Software Defined Automation  TURCK Toyota  Tulip  Uniper Energy\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eOur insights are trusted by global industry leaders\u003c\/strong\u003e\u003c\/p\u003e\u003cfigure\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/abb_logo_grey_150x74_v2.png\" alt=\"abb_logo_grey\" title=\"abb_logo_grey_150x74_v2\" class=\"wp-image-121421 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/abb_logo_grey_150x74_v2.png\" data-ll-status=\"loaded\" style=\"background: transparent; margin: 0px; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; position: relative;\"\u003e\u003c\/figure\u003e\u003cfigure\u003e\u003cspan class=\"et_pb_image_wrap \"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/samsung_logo_grey_150x74.png\" alt=\"samsung_logo_grey\" title=\"samsung_logo_grey_150x74\" class=\"wp-image-121416 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/samsung_logo_grey_150x74.png\" data-ll-status=\"loaded\" style=\"padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; background: transparent; position: relative; margin: 0px;\"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/Microsoft_logo_grey_150x74.png\" alt=\"Microsoft_logo_grey\" title=\"Microsoft_logo_grey_150x74\" class=\"wp-image-121422 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/Microsoft_logo_grey_150x74.png\" data-ll-status=\"loaded\" style=\"background: transparent; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; position: relative; margin: 0px;\"\u003e\u003c\/span\u003e\u003c\/figure\u003e\u003cfigure\u003e\u003cspan class=\"et_pb_image_wrap \"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2021\/03\/logo-sony.png\" alt=\"logo-sony\" title=\"logo-sony\" class=\"wp-image-139261 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2021\/03\/logo-sony.png\" data-ll-status=\"loaded\" style=\"margin: 0px; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; background: transparent; position: relative;\"\u003e\u003cspan class=\"et_pb_image_wrap \"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2020\/05\/Siemens-logo.png\" alt=\"Siemens logo\" title=\"Siemens logo\" class=\"wp-image-135837 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2020\/05\/Siemens-logo.png\" data-ll-status=\"loaded\" style=\"padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; background: transparent; position: relative; margin: 0px;\"\u003e\u003c\/span\u003e\u003c\/span\u003e\u003c\/figure\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e","brand":"IOT Analytics","offers":[{"title":"Single User License","offer_id":50506418061382,"sku":"IOTANALYTICS7","price":195000.0,"currency_code":"INR","in_stock":true},{"title":"Team User License","offer_id":50690264432710,"sku":"IOTANALYTICS7-2","price":243750.0,"currency_code":"INR","in_stock":true},{"title":"Enterprise Premium License","offer_id":50690264498246,"sku":"IOTANALYTICS7-3","price":390000.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0754\/2797\/1142\/files\/it-ot-convergence-insights-report-2024.png?v=1791613219"},{"product_id":"industrial-automation-projects-report-and-database-2025","title":"Industrial Automation Projects Report and Database 2025","description":"\u003cp\u003e\u003cspan style=\"color: rgb(34, 34, 34); font-size: 24px; font-weight: 700;\"\u003eAbout the database\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003eThe \u003cb\u003eIndustrial Automation Projects Report and Database 2025 \u003c\/b\u003eis part of IoT Analytics’ ongoing coverage of smart manufacturing. The information presented in this \u003cb\u003ereport is based on a database of 4,200+ industrial automation projects by five of the leading industrial automation vendors\u003c\/b\u003e. All data are based on public information that is available in the websites of the respective industrial OEMs (Siemens, Emerson Electric, Rockwell Automation, ABB, and Schneider Electric).\u003c\/p\u003e\u003ch3\u003eProjects in scope\u003c\/h3\u003e\u003cp\u003eProjects that include at least one \u003cb\u003eproduct classified within the ISA-95 pyramid levels are considered in-scope\u003c\/b\u003e. Projects featuring both in-scope and out-of-scope products were also analyzed to provide a comprehensive overview.\u003c\/p\u003e\u003ch3\u003eThe database is suitable for\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eIoT strategy \/ business case development\u003c\/li\u003e\n\u003cli\u003eSector scan\u003c\/li\u003e\n\u003cli\u003eCustomer \/ vendor selection\u003c\/li\u003e\n\u003cli\u003eCompetitive analysis\u003c\/li\u003e\n\u003cli\u003eGo-to-market \/ market entry strategy\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch4\u003eDatabase Structure\u003c\/h4\u003e\u003cp\u003eThis list is structured along the following dimensions:\u003c\/p\u003e\u003ch4\u003eProject details\u003c\/h4\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cb\u003eProject index: \u003c\/b\u003eUnique identifier of each project\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eProject name: \u003c\/b\u003eShort name of the project\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eProject description: \u003c\/b\u003eShort description of the project\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003ePrimary industry (ISIC classification): \u003c\/b\u003eIndustry classification (ISIC code) of the project – primary\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eSecondary industry (ISIC classification): \u003c\/b\u003eIndustry classification (ISIC code) of the project – secondary\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eCountry: \u003c\/b\u003eCountry where the project took place in\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eRegion: \u003c\/b\u003eRegion where the project took place in\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eVendor name: \u003c\/b\u003eName of the vendor that has published the project on their website\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch4\u003eCompany details\u003c\/h4\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cb\u003eServices\/products used: \u003c\/b\u003eProducts\/services that are highlighted in the project\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eService\/product ISA-95 level: \u003c\/b\u003eISA-95 level of the respective product on each row\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eProject source: \u003c\/b\u003eLink to the vendor website of the project\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eIoT: \u003c\/b\u003eAn “x” on the row indicates that the project is considered an IoT project\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eAI or ML: \u003c\/b\u003eAn “x” on the row indicates that the project is considered an AI\/Machine Learning project\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eCompany: \u003c\/b\u003eName of the customer company that the project refers to\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eCompany description: \u003c\/b\u003eShort description of the customer company the project refers to\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch4\u003eValue proposition for company\u003c\/h4\u003e\u003cul\u003e\n\u003cli\u003e\u003cb\u003eDescription\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003eRevenue increase\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003eCost reduction\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003eSafety enhancement\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003eSecurity enhancement\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003eProduct quality increase\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003eEquipment performance increase\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003eEquipment availability increase\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003eCustomer satisfaction\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003eEmployee satisfaction\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003eOther\u003c\/b\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch4\u003eKeyword analysis\u003c\/h4\u003e\u003cul\u003e\n\u003cli\u003e\u003cb\u003eSustainability\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003eEmissions\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003eScalability\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003eFlexibility\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003eCompliance\u003c\/b\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch4\u003eIoT infrastructure\u003c\/h4\u003e\u003cul\u003e\n\u003cli\u003e\u003cb\u003eCellular networks\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003e5G\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003eLPWAN\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003eWi-Fi\/Ethernet\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003eBluetooth\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003eTethered\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003eOther\u003c\/b\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch4\u003eIoT use case classification\u003c\/h4\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cb\u003eSmart City\u003c\/b\u003e\u003cul\u003e\n\u003cli\u003e\u003cb\u003eIoT classification\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003eMobility\/Transportation\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003eEnvironment\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003ePublic safety\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003eCity infrastructure\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003eSmart city other\u003c\/b\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eConnected building\u003c\/b\u003e\u003cul\u003e\n\u003cli\u003e\u003cb\u003eBuilding security and safety\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003eUser flow and wellbeing\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003eHVAC\/heating\/cooling\/electricity\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003eSmart buildings other\u003c\/b\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eSmart energy\/Utilities\u003c\/b\u003e\u003cul\u003e\n\u003cli\u003e\u003cb\u003eEnergy generation\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003eSmart grid\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003eSmart metering\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003eEmission\/Waste tracking\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003eEnergy\/Utilities other\u003c\/b\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eSmart supply chain\u003c\/b\u003e\u003cul\u003e\n\u003cli\u003e\u003cb\u003eOn-site facility track \u0026amp; trace\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003eSupply chain track \u0026amp; trace\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003eReal-time inventory management\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003eSmart supply chain other\u003c\/b\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eSmart operation\u003c\/b\u003e\u003cul\u003e\n\u003cli\u003e\u003cb\u003eAsset performance optimization\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003eProcess automation\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003eOperations planning and scheduling\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003eAugmented operations and services (incl. maintenance)\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003eRemote asset monitoring and control\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003eQuality control and management\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003eCondition-based maintenance and monitoring\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003ePredictive maintenance\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003ePlant\/worker safety\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003eWork condition monitoring\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003eSmart operation other\u003c\/b\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eConnected products\u003c\/b\u003e\u003cul\u003e\n\u003cli\u003e\u003cb\u003eOver-the-air updates\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003eRemote asset control\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003eCondition\/health monitoring\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003ePredictive maintenance\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003eLocation tracking\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003eSelling asset\/product as as-a-service\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003eIoT data-based product usage optimization\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003eProduct engineering\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003eConnected products other\u003c\/b\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch4\u003eAdditional information\u003c\/h4\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cb\u003eIndustry (ISIC classification): \u003c\/b\u003eIndustry classification (ISIC code) of the customer\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eCompany URL: \u003c\/b\u003eHome website of the customer\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eCountry: \u003c\/b\u003eCountry of the customer\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eCompany is \u003c\/b\u003e\u003cb\u003eend\u003c\/b\u003e\u003cb\u003e user: \u003c\/b\u003eAn “x” on the row indicates whether the company is an end user of the solution\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eCompany offers solutions to end users: \u003c\/b\u003eAn “x” on the row indicates whether the company offers solutions to end users\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eYear of the project (estimated): \u003c\/b\u003eEstimated year of the project\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eProject phase (estimated): \u003c\/b\u003eEstimated phase of the project\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003c\/p\u003e\u003ch3\u003eCompanies mentioned\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eABB   Emerson Electric   Rockwell Automation   Schneider Electric   Siemens\u003c\/strong\u003e\u003c\/p\u003e","brand":"IOT Analytics","offers":[{"title":"Single User License","offer_id":50506418421830,"sku":"IOTANALYTICS8","price":97500.0,"currency_code":"INR","in_stock":true},{"title":"Team User License","offer_id":50506418454598,"sku":"IOTANALYTICS8-2","price":136500.0,"currency_code":"INR","in_stock":true},{"title":"Enterprise Premium License","offer_id":50506418487366,"sku":"IOTANALYTICS8-3","price":195000.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0754\/2797\/1142\/files\/industrial-automation-projects-report-and-database-2025.png?v=1791613053"},{"product_id":"iot-system-integration-and-professional-services-market-report-20242030","title":"IoT System Integration and Professional Services Market Report 2024–2030","description":"\u003ch3\u003eQuestions answered\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eWhat are professional services and what is the scope of IoT professional services (i.e., \u003cb\u003edefinition of professional services\u003c\/b\u003e)?\u003c\/li\u003e\n\u003cli\u003eWhat are the three types of IoT professional services covered in this report?\u003c\/li\u003e\n\u003cli\u003eWhat does \u003cb\u003ethe IoT professional services market \u003c\/b\u003elook like (i.e., market size by regions, segments, industries) and how is it \u003cb\u003eexpected to develop \u003c\/b\u003ein the coming years?\u003c\/li\u003e\n\u003cli\u003eWho are the leading\u003cb\u003e IoT professional services providers \u003c\/b\u003eand what are their respective \u003cb\u003emarket shares\u003c\/b\u003e?\u003c\/li\u003e\n\u003cli\u003eHow do the leading IoT professional service providers compare and what are some of their \u003cb\u003eIoT focus areas\u003c\/b\u003e?\u003c\/li\u003e\n\u003cli\u003eWhat are example of recent \u003cb\u003eIoT professional services case studies?\u003c\/b\u003e\n\u003c\/li\u003e\n\u003cli\u003eWhat are \u003cb\u003eimportant customer perspectives \u003c\/b\u003eregarding IoT professional services?\u003c\/li\u003e\n\u003cli\u003eWhat are the \u003cb\u003ebenefits \u003c\/b\u003efrom having and being part of a System Integrator Partner Program?\u003c\/li\u003e\n\u003cli\u003eWhat are the \u003cb\u003etrends \u0026amp; challenges \u003c\/b\u003ein IoT professional services space\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eAbout the report\u003c\/h3\u003e\u003cp\u003eThe \u003cb\u003eIoT System Integration \u0026amp; Professional Services Market Report 2024 – 2030 \u003c\/b\u003eis part of IoT Analytics’ ongoing coverage of \u003ca href=\"https:\/\/iot-analytics.com\/our-coverage\/general-iot\/\" target=\"_blank\" rel=\"noopener\"\u003egeneral IoT\u003c\/a\u003e. The\u003cb\u003e information presented in this report is based on the results of qualitative research, i.e. interviews with system integration vendors, attendance of key conferences such as Hannover Messe 2024, and extensive secondary research.\u003c\/b\u003e Further information on the research methodology can be found in the downloadable \u003ca href=\"https:\/\/iot-analytics.com\/product\/iot-system-integration-iot-professional-services-market-report-2024-2030\/#request-form\"\u003ereport sample\u003c\/a\u003e. The document includes a definition of IoT professional services, as well as of consulting, system integration, and managed services. The report contains the market landscape, a list of sample case studies, key customer adoption considerations, key trends and challenges, and other insights from IoT Analytics end-user surveys and viewpoints from industry professionals.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eThe main purpose of this document is to help our readers understand the current IoT professional services landscape by defining, sizing, and analyzing the market.\u003c\/b\u003e\u003c\/p\u003e\u003ch3\u003eOverview of the IoT professional services market\u003c\/h3\u003e\u003cp\u003eIoT services make up 3.5% of the growing IT services market and it is expected to grow 4.7% by 2023. IoT professional services market is projected to grow to $125 billion by 2030, at a CAGR of 14%. The increasing complexity of IoT solutions, driven by the integration of technologies such as AI, ML, 5G, and advanced analytics, necessitates expert support for most companies. IoT system integration services continue to account for more than half of the IoT professional services market. However, integration services are expected to grow slower than the overall market. On the other hand, IoT consulting services are forecast to have faster growth. This growth is mainly driven by businesses that are increasingly seeking guidance to leverage AI-driven IoT solutions.\u003c\/p\u003e\u003cp\u003e\u003ca href=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2025\/01\/IoT-system-integration-market-2024-2030-vf2.png\" target=\"_blank\" rel=\"noopener\"\u003e\u003cimg decoding=\"async\" class=\"aligncenter entered lazyloaded\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2025\/01\/IoT-system-integration-market-2024-2030-vf2.png\" alt=\"IoT system integration and prfessional services market snapshot 20254-2030\" width=\"1920\" height=\"1008\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2025\/01\/IoT-system-integration-market-2024-2030-vf2.png\" data-ll-status=\"loaded\" style=\"margin: 0px auto; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; background: transparent; clear: both; display: block;\"\u003e\u003c\/a\u003e\u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e\u003ch3\u003eScope of this report\u003c\/h3\u003e\u003cp\u003e\u003ca href=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2024\/12\/Scope-of-professional-services-Key-definitions-and-activities.png\" target=\"_blank\" rel=\"noopener\"\u003e\u003cimg decoding=\"async\" class=\"aligncenter entered lazyloaded\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2024\/12\/Scope-of-professional-services-Key-definitions-and-activities.png\" alt=\"Scope of professional services\" width=\"1280\" height=\"720\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2024\/12\/Scope-of-professional-services-Key-definitions-and-activities.png\" data-ll-status=\"loaded\" style=\"margin: 0px auto; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; background: transparent; clear: both; display: block;\"\u003e\u003c\/a\u003e\u003c\/p\u003e\u003cp\u003eThree types of professional services are examined in this report:\u003c\/p\u003e\u003col\u003e\n\u003cli\u003eConsulting\u003c\/li\u003e\n\u003cli\u003eSystem integration\u003c\/li\u003e\n\u003cli\u003eManaged\/operational services\u003c\/li\u003e\n\u003c\/ol\u003e\u003cp\u003e\u003ca href=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2024\/12\/IoT-professional-services-covered-in-this-report.png\" target=\"_blank\" rel=\"noopener\"\u003e\u003cimg decoding=\"async\" class=\"aligncenter\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2024\/12\/IoT-professional-services-covered-in-this-report.png\" alt=\"IoT professional services covered in this report\" width=\"1280\" height=\"720\" style=\"margin: 0px auto; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; background: transparent; clear: both; display: block;\"\u003e\u003c\/a\u003e\u003c\/p\u003e\u003cp\u003eIn the IoT professional services space, companies often distinguish professional services for\u003c\/p\u003e\u003col\u003e\n\u003cli\u003eIoT in smart connected products\u003c\/li\u003e\n\u003cli\u003eIoT in industrial operations\u003c\/li\u003e\n\u003cli\u003eIoT in non-industrial operations\u003c\/li\u003e\n\u003c\/ol\u003e\u003ch4\u003eAuthors\u003c\/h4\u003e\u003cp\u003eJustina-Alexandra Sava, Knud Lasse Lueth, Oktay Demir\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eOur insights are trusted by global industry leaders\u003c\/p\u003e\u003cfigure\u003e\u003cspan class=\"et_pb_image_wrap \"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/abb_logo_grey_150x74_v2.png\" alt=\"abb_logo_grey\" title=\"abb_logo_grey_150x74_v2\" class=\"wp-image-121421 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/abb_logo_grey_150x74_v2.png\" data-ll-status=\"loaded\" style=\"padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; background: transparent; position: relative; margin: 0px;\"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/samsung_logo_grey_150x74.png\" alt=\"samsung_logo_grey\" title=\"samsung_logo_grey_150x74\" class=\"wp-image-121416 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/samsung_logo_grey_150x74.png\" data-ll-status=\"loaded\" style=\"background: transparent; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; position: relative; margin: 0px;\"\u003e\u003c\/span\u003e\u003c\/figure\u003e\u003cfigure\u003e\u003cspan class=\"et_pb_image_wrap \"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/Microsoft_logo_grey_150x74.png\" alt=\"Microsoft_logo_grey\" title=\"Microsoft_logo_grey_150x74\" class=\"wp-image-121422 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/Microsoft_logo_grey_150x74.png\" data-ll-status=\"loaded\" style=\"padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; background: transparent; position: relative; margin: 0px;\"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2021\/03\/logo-sony.png\" alt=\"logo-sony\" title=\"logo-sony\" class=\"wp-image-139261 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2021\/03\/logo-sony.png\" data-ll-status=\"loaded\" style=\"background: transparent; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; position: relative; margin: 0px;\"\u003e\u003c\/span\u003e\u003c\/figure\u003e\u003cp\u003e\u003cspan class=\"et_pb_image_wrap \"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2020\/05\/Siemens-logo.png\" alt=\"Siemens logo\" title=\"Siemens logo\" class=\"wp-image-135837 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2020\/05\/Siemens-logo.png\" data-ll-status=\"loaded\" style=\"padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; background: transparent; position: relative; margin: 0px;\"\u003e\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e","brand":"IOT Analytics","offers":[{"title":"Single User License","offer_id":50506418946118,"sku":"IOTANALYTICS9","price":292500.0,"currency_code":"INR","in_stock":true},{"title":"Team User License","offer_id":50506418978886,"sku":"IOTANALYTICS9-2","price":390000.0,"currency_code":"INR","in_stock":true},{"title":"Enterprise Premium License","offer_id":50506419011654,"sku":"IOTANALYTICS9-3","price":585000.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0754\/2797\/1142\/files\/iot-system-integration-and-professional-services-market-report-20242030.png?v=1791613188"},{"product_id":"satellite-iot-market-report-20252030-en","title":"Satellite IoT Market Report 2025–2030","description":"\u003cp\u003e\u003cspan style=\"color: rgb(34, 34, 34); font-size: 24px; font-weight: 700;\"\u003eQuestions answered\u003c\/span\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eWhat is \u003cb\u003esatellite IoT \u003c\/b\u003eand how does it differ from traditional IoT connectivity?\u003c\/li\u003e\n\u003cli\u003eHow does \u003cb\u003esatellite IoT connectivity\u003c\/b\u003e compare to traditional \u003cb\u003eterrestrial connectivity\u003c\/b\u003e?\u003c\/li\u003e\n\u003cli\u003eWhat \u003cb\u003ekey components \u003c\/b\u003eare required for IoT devices to communicate directly with satellites?\u003c\/li\u003e\n\u003cli\u003eWhat are the \u003cb\u003ekey use cases \u003c\/b\u003eand \u003cb\u003eindustry verticals \u003c\/b\u003edriving the adoption of Satellite connectivity in IoT?\u003c\/li\u003e\n\u003cli\u003eWhat is the current \u003cb\u003emarket size \u003c\/b\u003eof the satellite IoT industry?\u003c\/li\u003e\n\u003cli\u003eWhat are the emerging \u003cb\u003etrends\u003c\/b\u003e in the satellite IoT market?\u003c\/li\u003e\n\u003cli\u003eWho are the \u003cb\u003ekey players \u003c\/b\u003ein the satellite IoT market?\u003c\/li\u003e\n\u003cli\u003eWhat is the \u003cb\u003emarket share \u003c\/b\u003eof the leading vendors in the satellite IoT market?\u003c\/li\u003e\n\u003cli\u003eWhich \u003cb\u003enew entrants or startups \u003c\/b\u003egaining traction that could impact the competitive landscape?\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eCompanies mentioned\u003c\/h3\u003e\u003cp\u003eIridium Communications  Orbcomm  Viasat+Inmarsat  Space 42 (Al Yahsat)  Apogeo Space  AST Space Mobile  Globalstar  Eutelsat  OneWeb  Hispasat  Marlink  Echostar Mobile  Myriota  Starlink  Kineis  Telesat  Lacuna Space  Lynk Global  OQ technology  Skylo  Sateliot  Wyld Network\u003c\/p\u003e\u003ch3\u003eAbout the report\u003c\/h3\u003e\u003cp\u003eThe information presented in the \u003cb\u003eSatellite IoT Market Report 2025–2030 \u003c\/b\u003eis based on the results of in-depth primary research (i.e., interviews with satellite network operators and hardware vendors\/resellers between August 2024 to February 2025), as well as extensive secondary research. The document includes definitions for satellite IoT connectivity, deployment models for satellite networks as well as the components involved in deploying satellite IoT solutions, market projections, adoption drivers, competitive landscape, key trends and developments, use cases, and case studies.\u003c\/p\u003e\u003cp\u003eThe report highlights:\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\u003cb\u003e6 detailed vendor profiles \u0026amp; 10 high-potential startups\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003e12 key market trends\u003c\/b\u003e with examples\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003e5 in-depth case studies\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003e28 key use cases\u003c\/b\u003e across 9 segments\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003e5 satellite operators compared\u003c\/b\u003e (2018–2024 growth)\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003e4 critical challenges\u003c\/b\u003e for vendors \u0026amp; end-users\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003e4 core technological aspects\u003c\/b\u003e explained\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eOur insights are trusted by global industry leaders\u003c\/p\u003e\u003cfigure\u003e\u003cspan class=\"et_pb_image_wrap \"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/abb_logo_grey_150x74_v2.png\" alt=\"abb_logo_grey\" title=\"abb_logo_grey_150x74_v2\" class=\"wp-image-121421\" style=\"margin: 0px; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; background: transparent; position: relative;\"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/samsung_logo_grey_150x74.png\" alt=\"samsung_logo_grey\" title=\"samsung_logo_grey_150x74\" class=\"wp-image-121416\" style=\"background: transparent; margin: 0px; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; position: relative;\"\u003e\u003c\/span\u003e\u003c\/figure\u003e\u003cfigure\u003e\u003cspan class=\"et_pb_image_wrap \"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/Microsoft_logo_grey_150x74.png\" alt=\"Microsoft_logo_grey\" title=\"Microsoft_logo_grey_150x74\" class=\"wp-image-121422\" style=\"padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; background: transparent; position: relative; margin: 0px;\"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2021\/03\/logo-sony.png\" alt=\"logo-sony\" title=\"logo-sony\" class=\"wp-image-139261\" style=\"background: transparent; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; position: relative; margin: 0px;\"\u003e\u003c\/span\u003e\u003c\/figure\u003e\u003cp\u003e\u003cspan class=\"et_pb_image_wrap \"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2020\/05\/Siemens-logo.png\" alt=\"Siemens logo\" title=\"Siemens logo\" class=\"wp-image-135837\" style=\"margin: 0px; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; background: transparent; position: relative;\"\u003e\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e","brand":"IOT Analytics","offers":[{"title":"Single User License","offer_id":50506419142726,"sku":"IOTANALYTICS10","price":292500.0,"currency_code":"INR","in_stock":true},{"title":"Bundle: Single User License","offer_id":50506419175494,"sku":"IOTANALYTICS10-2","price":438750.0,"currency_code":"INR","in_stock":true},{"title":"Team User License","offer_id":50506419208262,"sku":"IOTANALYTICS10-3","price":390000.0,"currency_code":"INR","in_stock":true},{"title":"Bundle:Team User License","offer_id":50506419241030,"sku":"IOTANALYTICS10-4","price":536250.0,"currency_code":"INR","in_stock":true},{"title":"Enterprise Premium License","offer_id":50506419273798,"sku":"IOTANALYTICS10-5","price":585000.0,"currency_code":"INR","in_stock":true},{"title":"Bundle: Enterprise Premium License","offer_id":50506419306566,"sku":"IOTANALYTICS10-6","price":780000.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0754\/2797\/1142\/files\/satellite-iot-market-report-20252030-en.png?v=1791613265"},{"product_id":"sustainability-platforms-market-report-20252029","title":"Sustainability Platforms Market Report 2025–2029","description":"\u003cp\u003e\u003cspan style=\"color: rgb(34, 34, 34); font-size: 24px; font-weight: 700;\"\u003eQuestions answered\u003c\/span\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eWhat are sustainability platforms (i.e., \u003cb\u003ea\u003c\/b\u003e \u003cb\u003edefinition\u003c\/b\u003e)?\u003c\/li\u003e\n\u003cli\u003eWhat are the \u003cb\u003ekey features and capabilities \u003c\/b\u003eof sustainability platforms, both for \u003cb\u003eESG reporting \u003c\/b\u003eand for \u003cb\u003ecarbon management\u003c\/b\u003e?\u003c\/li\u003e\n\u003cli\u003eWho are the leading \u003cb\u003evendors \u003c\/b\u003eof sustainability platforms, and how much \u003cb\u003emarket share \u003c\/b\u003edo they have?\u003c\/li\u003e\n\u003cli\u003eHow large is the \u003cb\u003es\u003c\/b\u003e\u003cb\u003eustainability platforms market\u003c\/b\u003e, and how does it split into segments (i.e., by regions or industries)?\u003c\/li\u003e\n\u003cli\u003eWhat are some \u003cb\u003einsightful case studies \u003c\/b\u003eof companies implementing sustainability platforms?\u003c\/li\u003e\n\u003cli\u003eHow does \u003cb\u003eESG reporting \u003c\/b\u003ework?\u003c\/li\u003e\n\u003cli\u003eWhat are some of the \u003cb\u003esustainability targets of governments and selected corporations\u003c\/b\u003e?\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eWhat is sustainability\u003c\/b\u003e, and what are its various aspects?\u003c\/li\u003e\n\u003cli\u003eWhat are the key \u003cb\u003edrivers\u003c\/b\u003e\u003cb\u003e and trends \u003c\/b\u003ein the market?\u003c\/li\u003e\n\u003cli\u003eWhat are the \u003cb\u003ekey challenges \u003c\/b\u003eto sustainability management platform adoption?\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003c\/p\u003e\u003ch3\u003eCompanies mentioned\u003c\/h3\u003e\u003cp\u003eApple  Cority  IBM  Microsoft  Persefoni  SAP  Salesforce  Schneider Electric  ServiceNow  Siemens  Sphera\u003c\/p\u003e\u003cp\u003eSweep  Watershed  Wolters Kluwer  Workiva\u003c\/p\u003e\u003ch3\u003eAbout the report\u003c\/h3\u003e\u003cp\u003eThe \u003cb\u003eSustainability Platforms Market Report 2025–2029 \u003c\/b\u003eis part of IoT Analytics’ ongoing coverage of emerging technology topics and vertical applications. The information presented in this report is based on the results of multiple surveys, secondary research as well as qualitative research, i.e., interviews with industry experts from vendors and end users. The document includes definitions for sustainability platforms, market projections, adoption drivers, competitive landscape, key trends and developments, and case studies.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eThe main purpose of this document is to help our readers understand the current sustainability platform landscape by defining, sizing, and analyzing the market.\u003c\/b\u003e\u003c\/p\u003e\u003ch4\u003eAbout the market\u003c\/h4\u003e\u003cp\u003e\u003cb\u003eThe sustainability platform market is still at an early stage of development but growing rapidly\u003c\/b\u003e. Most adopters are still at the pilot stage and\/or with small-scale implementations. It is \u003cb\u003ehighly fragmented with eight main vendor types. \u003c\/b\u003eVendors are categorized into 8 segments:\u003c\/p\u003e\u003col\u003e\n\u003cli\u003eCarbon footprint\u003c\/li\u003e\n\u003cli\u003eESG \u0026amp; sustainability\u003c\/li\u003e\n\u003cli\u003eEHS\u003c\/li\u003e\n\u003cli\u003eEnergy\u003c\/li\u003e\n\u003cli\u003eGRC\u003c\/li\u003e\n\u003cli\u003eIT\/cloud\u003c\/li\u003e\n\u003cli\u003eFinancial\u003c\/li\u003e\n\u003cli\u003eConsulting.\u003c\/li\u003e\n\u003c\/ol\u003e\u003ch4\u003eKey market drivers, challenges, and trends\u003c\/h4\u003e\u003cp\u003eIoT Analytics identified 5 drivers and 7 challenges highlighted in the report.\u003c\/p\u003e\u003ch3\u003eWhat are sustainability platforms?\u003c\/h3\u003e\u003cp\u003e\u003ca href=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2025\/02\/What-are-Sustainability-Platforms.png\"\u003e\u003cimg decoding=\"async\" class=\"aligncenter\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2025\/02\/What-are-Sustainability-Platforms.png\" alt=\"What are sustainability platforms? \" width=\"1280\" height=\"720\" style=\"margin: 0px auto; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; background: transparent; clear: both; display: block;\"\u003e\u003c\/a\u003e\u003c\/p\u003e\u003ch4\u003eDefinition\u003c\/h4\u003e\u003cp\u003e\u003cb\u003eSustainability Platforms are software tools designed to help organizations understand, manage, and improve their sustainability performance\u003c\/b\u003e. Sustainability Platforms streamline the collection, aggregation, analysis, and reporting of sustainability-related data across various ESG dimensions and provide a holistic view of an organization’s sustainability performance.\u003c\/p\u003e\u003ch4\u003eCategorization\u003c\/h4\u003e\u003col\u003e\n\u003cli\u003eCarbon management\u003c\/li\u003e\n\u003cli\u003eESG reporting\u003c\/li\u003e\n\u003cli\u003eSupply chain\u003c\/li\u003e\n\u003c\/ol\u003e\u003ch4\u003eKey features\u003c\/h4\u003e\u003cp\u003e\u003cb\u003eThree of the most important features of Sustainability Platforms are:\u003c\/b\u003e\u003c\/p\u003e\u003col\u003e\n\u003cli\u003e\n\u003cb\u003eAdvanced analytics\u003c\/b\u003e: These platforms utilize powerful analytics to offer insights into key sustainability metrics, trends, and areas needing improvement, supporting data-driven decision-making.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eReporting functionalities\u003c\/b\u003e: Using automated tools can streamline compliance with ESG standards and simplify both internal and external reporting processes.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eCollaboration tools\u003c\/b\u003e: These tools facilitate communication and engagement among stakeholders through feedback systems, shared dashboards, and integrated workflows.\u003c\/li\u003e\n\u003c\/ol\u003e\u003ch4\u003eKey benefits\u003c\/h4\u003e\u003cp\u003e\u003cb\u003eThree of the most valuable benefits of Sustainability Platforms are:\u003c\/b\u003e\u003c\/p\u003e\u003col\u003e\n\u003cli\u003e\n\u003cb\u003eEasier regulatory compliance\u003c\/b\u003e: Automating ESG data management and reporting ensures organizations stay aligned with evolving regulatory requirements.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eImproved decision-making\u003c\/b\u003e: Data-driven insights enable organizations to identify risks and opportunities, driving strategies that optimize resource use and reduce costs.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eTransparency and stakeholder engagement\u003c\/b\u003e: Providing clear, accessible information builds trust with stakeholders and demonstrates a commitment to responsible practices, enhancing an organization’s reputation.\u003c\/li\u003e\n\u003c\/ol\u003e\u003ch4\u003eAuthors\u003c\/h4\u003e\u003cp\u003eEugenio Pasqua, Knud Lasse Lueth, Oktay Demir\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e\u003cbr\u003e\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eOur insights are trusted by global industry leaders\u003c\/strong\u003e\u003c\/p\u003e\u003cfigure\u003e\u003cspan class=\"et_pb_image_wrap \"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/abb_logo_grey_150x74_v2.png\" alt=\"abb_logo_grey\" title=\"abb_logo_grey_150x74_v2\" class=\"wp-image-121421 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/abb_logo_grey_150x74_v2.png\" data-ll-status=\"loaded\" style=\"margin: 0px; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; background: transparent; position: relative;\"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/samsung_logo_grey_150x74.png\" alt=\"samsung_logo_grey\" title=\"samsung_logo_grey_150x74\" class=\"wp-image-121416 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/samsung_logo_grey_150x74.png\" data-ll-status=\"loaded\" style=\"background: transparent; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; position: relative; margin: 0px;\"\u003e\u003c\/span\u003e\u003c\/figure\u003e\u003cfigure\u003e\u003cspan class=\"et_pb_image_wrap \"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/Microsoft_logo_grey_150x74.png\" alt=\"Microsoft_logo_grey\" title=\"Microsoft_logo_grey_150x74\" class=\"wp-image-121422 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/Microsoft_logo_grey_150x74.png\" data-ll-status=\"loaded\" style=\"margin: 0px; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; background: transparent; position: relative;\"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2021\/03\/logo-sony.png\" alt=\"logo-sony\" title=\"logo-sony\" class=\"wp-image-139261 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2021\/03\/logo-sony.png\" data-ll-status=\"loaded\" style=\"background: transparent; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; position: relative; margin: 0px;\"\u003e\u003c\/span\u003e\u003c\/figure\u003e\u003cp\u003e\u003cspan class=\"et_pb_image_wrap \"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2020\/05\/Siemens-logo.png\" alt=\"Siemens logo\" title=\"Siemens logo\" class=\"wp-image-135837 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2020\/05\/Siemens-logo.png\" data-ll-status=\"loaded\" style=\"margin: 0px; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; background: transparent; position: relative;\"\u003e\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e","brand":"IOT Analytics","offers":[{"title":"Single User License","offer_id":50506419339334,"sku":"IOTANALYTICS11","price":292500.0,"currency_code":"INR","in_stock":true},{"title":"Team User License","offer_id":50506419372102,"sku":"IOTANALYTICS11-2","price":390000.0,"currency_code":"INR","in_stock":true},{"title":"Enterprise Premium License","offer_id":50506419404870,"sku":"IOTANALYTICS11-3","price":585000.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0754\/2797\/1142\/files\/sustainability-platforms-market-report-20252029.png?v=1791613311"},{"product_id":"industrial-software-landscape-20242030","title":"Industrial Software Landscape 2024–2030","description":"\u003cp\u003e\u003cstrong\u003eQuestions answered\u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eWhat are the market dynamics for the following industrial software markets: \u003cb\u003eCAD, EDA, PLM, MOM, EAM, machine control, cybersecurity, \u003c\/b\u003e\u003cb\u003ed\u003c\/b\u003e\u003cb\u003eata\u003c\/b\u003e\u003cb\u003e \u0026amp; analytics, SCM, field service, cloud, virtualization, and \u003c\/b\u003e\u003cb\u003er\u003c\/b\u003e\u003cb\u003eemote access\u003c\/b\u003e?\u003c\/li\u003e\n\u003cli\u003eWhat is the \u003cb\u003emarket size \u003c\/b\u003efor industrial software and individual software categories (e.g., CAD, PLM, or MOM)?\u003c\/li\u003e\n\u003cli\u003eWhat are the \u003cb\u003emarket growth\u003c\/b\u003e projections for industrial software as well as individual software categories until 2030?\u003c\/li\u003e\n\u003cli\u003eWhich software vendors are \u003cb\u003eleading\u003c\/b\u003e their markets, and what are their \u003cb\u003emarket shares\u003c\/b\u003e?\u003c\/li\u003e\n\u003cli\u003eHow have \u003cb\u003emarket shares \u003c\/b\u003edeveloped between 2021 and 2023?\u003c\/li\u003e\n\u003cli\u003eWhat \u003cb\u003estrategies\u003c\/b\u003e do key industrial software companies for the coming years?\u003c\/li\u003e\n\u003cli\u003eWhat are the \u003cb\u003ekey trends \u003c\/b\u003eaffecting the industrial software market in general?\u003c\/li\u003e\n\u003cli\u003eWhat are some \u003cb\u003eindividual trends \u003c\/b\u003efor specific software categories?\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003c\/p\u003e\u003ch3\u003eCompanies mentioned\u003c\/h3\u003e\u003cp\u003eABB  Ansys  Aspentech  Autodesk  AWS  Cadence  Dassault Systèmes  Hexagon  Honeywell  IBM\u003c\/p\u003e\u003cp\u003eMicrosoft  Oracle  PTC  Rockwell Automation  SAP  Schneider Electric  Siemens  Snowflake  Synopsys  VMWare\u003c\/p\u003e\u003ch3\u003eAbout the report\u003c\/h3\u003e\u003ch3\u003eAt a glance\u003c\/h3\u003e\u003cp\u003eThe \u003cb\u003eIndustrial Software Landscape 2024–2030 \u003c\/b\u003eis part of IoT Analytics’ ongoing coverage of industrial transformation end market. The information in this report is derived from reported vendor revenues, survey data, and qualitative research, i.e., interviews and briefings with software vendors. The document includes a definition of industrial software, market projections, vendor market shares, general trends, vendor strategies, and specific trends related to individual software categories. The main purpose of this document is to help our readers understand the current industrial software landscape by defining, sizing, and analyzing the market.\u003c\/p\u003e\u003cp\u003eThe report is accompanied by \u003cb\u003ea structured database* with a classification of 180+ industrial software companies in 5 software groups and 14 different software categories:\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eDesign and engineering\u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eCAS\u003c\/li\u003e\n\u003cli\u003eEDA\u003c\/li\u003e\n\u003cli\u003ePLM\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cb\u003eManufacturing\u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eMachine Control\u003c\/li\u003e\n\u003cli\u003eMOM\u003c\/li\u003e\n\u003cli\u003eEAM\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cb\u003eSupply chain\u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eSupply chain planning \u0026amp; design\u003c\/li\u003e\n\u003cli\u003eSuply chain execution\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cb\u003eService\u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\u003cli\u003eField service\u003c\/li\u003e\u003c\/ul\u003e\u003cp\u003e\u003cb\u003eGeneral\/Overarching\u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eCloud infrastructure \u0026amp; services\u003c\/li\u003e\n\u003cli\u003eCybersecurity\u003c\/li\u003e\n\u003cli\u003eVirtualization\u003c\/li\u003e\n\u003cli\u003eRemote access\u003c\/li\u003e\n\u003cli\u003eData \u0026amp; analytics\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eDefinition of industrial software\u003c\/h3\u003e\u003cp\u003eIndustrial software = Digital tools, solutions, or applications used to create, manage, or analyze information within the industrial manufacturing value chain.\u003c\/p\u003e\u003ch3\u003eIndustrial software market\u003c\/h3\u003e\u003cp\u003eThe growth for industrial sofware is outperforming the growth for OT hardware. IoT Analytics forecasts the industrial software market to continue growing stongly, driven by cloud and analytics software.\u003c\/p\u003e\u003cp\u003e*included with a team user license or higher\u003c\/p\u003e\u003cp\u003eOur insights are trusted by global industry leaders\u003c\/p\u003e\u003cfigure\u003e\u003cspan class=\"et_pb_image_wrap \"\u003e \u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/abb_logo_grey_150x74_v2.png\" alt=\"abb_logo_grey\" title=\"abb_logo_grey_150x74_v2\" class=\"wp-image-121421 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/abb_logo_grey_150x74_v2.png\" data-ll-status=\"loaded\" style=\"padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; background: transparent; position: relative; margin: 0px;\"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/samsung_logo_grey_150x74.png\" alt=\"samsung_logo_grey\" title=\"samsung_logo_grey_150x74\" class=\"wp-image-121416 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/samsung_logo_grey_150x74.png\" data-ll-status=\"loaded\" style=\"background: transparent; margin: 0px; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; position: relative;\"\u003e\u003c\/span\u003e\u003c\/figure\u003e\u003cfigure\u003e\u003cspan class=\"et_pb_image_wrap \"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/Microsoft_logo_grey_150x74.png\" alt=\"Microsoft_logo_grey\" title=\"Microsoft_logo_grey_150x74\" class=\"wp-image-121422 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/Microsoft_logo_grey_150x74.png\" data-ll-status=\"loaded\" style=\"padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; background: transparent; position: relative; margin: 0px;\"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2021\/03\/logo-sony.png\" alt=\"logo-sony\" title=\"logo-sony\" class=\"wp-image-139261 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2021\/03\/logo-sony.png\" data-ll-status=\"loaded\" style=\"background: transparent; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; position: relative; margin: 0px;\"\u003e\u003c\/span\u003e\u003c\/figure\u003e\u003cp\u003e\u003cspan class=\"et_pb_image_wrap \"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2020\/05\/Siemens-logo.png\" alt=\"Siemens logo\" title=\"Siemens logo\" class=\"wp-image-135837 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2020\/05\/Siemens-logo.png\" data-ll-status=\"loaded\" style=\"margin: 0px; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; background: transparent; position: relative;\"\u003e\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e","brand":"IOT Analytics","offers":[{"title":"Single User License","offer_id":50506419503174,"sku":"IOTANALYTICS12","price":292500.0,"currency_code":"INR","in_stock":true},{"title":"Team User License","offer_id":50506419535942,"sku":"IOTANALYTICS12-2","price":390000.0,"currency_code":"INR","in_stock":true},{"title":"Enterprise Premium License","offer_id":50506419568710,"sku":"IOTANALYTICS12-3","price":585000.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0754\/2797\/1142\/files\/industrial-software-landscape-20242030.png?v=1791613082"},{"product_id":"smart-factory-adoption-report-2024","title":"Smart Factory Adoption Report 2024","description":"\u003ch3\u003eQuestions answered\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eWhat is the \u003cb\u003ecurrent state \u003c\/b\u003eof smart factories?\u003c\/li\u003e\n\u003cli\u003eWhich \u003cb\u003etechnologies\u003c\/b\u003e are most important for manufacturers who roll out a smart factory strategy?\u003c\/li\u003e\n\u003cli\u003eWhich manufacturers are considered “\u003cb\u003eleading\u003c\/b\u003e” when it comes to adoption of digital technologies?\u003c\/li\u003e\n\u003cli\u003eHow are the \u003cb\u003eparadigms\u003c\/b\u003e of manufacturers changing?\u003c\/li\u003e\n\u003cli\u003eWhich \u003cb\u003eAI use cases \u003c\/b\u003eare manufacturers rolling out?\u003c\/li\u003e\n\u003cli\u003eWhere are \u003cb\u003etraining and inference of AI models \u003c\/b\u003ehappening?\u003c\/li\u003e\n\u003cli\u003eWhat are key considerations when choosing a \u003cb\u003eD\u003c\/b\u003e\u003cb\u003eataOps\u003c\/b\u003e\u003cb\u003e solution\u003c\/b\u003e?\u003c\/li\u003e\n\u003cli\u003eWhich type of software are manufacturers using to \u003cb\u003emanage devices\u003c\/b\u003e?\u003c\/li\u003e\n\u003cli\u003eWhat are the \u003cb\u003eleading containerization tools \u003c\/b\u003eused for containerization at the edge?\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003c\/p\u003e\u003ch3\u003eCompanies mentioned\u003c\/h3\u003e\u003cp\u003eBosch  Caterpillar  Emerson  General Electri  Samsung  Schneider Electric  Siemens  Tesla  Toyota\u003c\/p\u003e\u003ch3\u003eAbout the report\u003c\/h3\u003e\u003cp\u003e\u003cb\u003eThe Smart Factory Adoption Report 2024 \u003c\/b\u003eis part of IoT Analytics’ ongoing coverage of \u003ca href=\"https:\/\/iot-analytics.com\/our-coverage\/industrial-iot\/\" target=\"_blank\" rel=\"noopener\"\u003eIndustrial IoT \u0026amp; Industry 4.0\u003c\/a\u003e. The information presented in this report is based on the results of a survey of 500 manufacturers between February 2024 to March 2024. The purpose is to inform other market participants about the current state of adoption of smart factory use cases and technology across manufacturers. Survey participants were selected randomly, and their knowledge was verified independently. To ensure complete objectivity, IoT Analytics did not alter or supplement any survey results and did not accept participants who were suggested by third parties (e.g., customers from specific vendors).\u003c\/p\u003e\u003ch2\u003eThis report highlights smart factory adoption through\u003c\/h2\u003e\u003ch3\u003e…6 lenses\u003c\/h3\u003e\u003col\u003e\n\u003cli\u003eParadigms\u003c\/li\u003e\n\u003cli\u003eTechnologies\u003c\/li\u003e\n\u003cli\u003eBudgets\u003c\/li\u003e\n\u003cli\u003eChallenges\u003c\/li\u003e\n\u003cli\u003eInvestment outlooks\u003c\/li\u003e\n\u003cli\u003eROI\u003c\/li\u003e\n\u003c\/ol\u003e\u003ch3\u003e…and 4 deep dives\u003c\/h3\u003e\u003col\u003e\n\u003cli\u003eIndustrial AI \u0026amp; edge AI\u003c\/li\u003e\n\u003cli\u003eIndustrial DataOps\u003c\/li\u003e\n\u003cli\u003eDevice management\u003c\/li\u003e\n\u003cli\u003eContainerization of OT\u003c\/li\u003e\n\u003c\/ol\u003e\u003ch2\u003eWhy do manufacturers look to make factories smarter?\u003c\/h2\u003e\u003ch3\u003eTo stay (cost-)competitive.\u003c\/h3\u003e\u003cp\u003eEspecially in industries where price sensitivity is high, maintaining cost competitiveness is crucial for survival. A stark example is the collapse of the German solar manufacturing industry. Once a global leader, Germany’s solar sector struggled when cheaper Chinese solar modules flooded the market in the late 2000s, undercutting domestic producers like SolarWorld, which eventually \u003ca href=\"https:\/\/www.cleanenergywire.org\/news\/last-major-german-solar-cell-maker-surrenders-chinese-competition\"\u003edeclared\u003c\/a\u003e insolvency. A similar scenario may currently be unfolding in the electric vehicle (EV) industry.\u003c\/p\u003e\u003ch3\u003eTo mitigate labor shortages and skill gaps.\u003c\/h3\u003e\u003cp\u003eMany high-income countries are experiencing declining birth rates and stand on the brink of losing a large chunk of experts as they transition into retirement. This is also harming manufacturing companies. In the US alone, 1.9 million manufacturing jobs \u003ca href=\"https:\/\/action.deloitte.com\/insight\/3896\/skills-applicant-gaps-threaten-us-manufacturing-growth\"\u003ecould remain unfilled \u003c\/a\u003ein the next 10 years. Automation and digitalization can help to mitigate these challenges.\u003c\/p\u003e\u003ch3\u003eTo address sustainability and regulatory pressures.\u003c\/h3\u003e\u003cp\u003eMany regulatory bodies have reacted to climate change challenges by introducing related regulations. The European Union, for example, now requires a broad set of large companies, as well as listed SMEs, to start reporting on carbon footprint and related topics. \u003ca href=\"https:\/\/finance.ec.europa.eu\/capital-markets-union-and-financial-markets\/company-reporting-and-auditing\/company-reporting\/corporate-sustainability-reporting_en\"\u003eThe new rules \u003c\/a\u003eare first coming into effect in the 2024 financial year, for reports published in 2025. Accurate tracking and reporting will not be difficult without the technological foundation.\u003c\/p\u003e\u003ch3\u003eTo achieve greater flexibility and customization.\u003c\/h3\u003e\u003cp\u003eThe automotive industry’s current shift towards EVs is a good example of why manufacturing flexibility matters. Traditional production lines built for internal combustion engine vehicles often lack the flexibility to accommodate the variety of components and configurations required for EVs. Additionally, with EV demand highly fluctuating, automotive manufacturers that can flexibly adjust their manufacturing setup to the current demand have massive advantages. That is why implementing more adaptive and scalable manufacturing solutions to handle changes in customer preferences, product design, and materials will be key in the future.\u003c\/p\u003e\u003cp\u003eOur insights are trusted by global industry leaders\u003c\/p\u003e\u003cfigure\u003e\u003cspan class=\"et_pb_image_wrap \"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/abb_logo_grey_150x74_v2.png\" alt=\"abb_logo_grey\" title=\"abb_logo_grey_150x74_v2\" class=\"wp-image-121421 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/abb_logo_grey_150x74_v2.png\" data-ll-status=\"loaded\" style=\"margin: 0px; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; background: transparent; position: relative;\"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/samsung_logo_grey_150x74.png\" alt=\"samsung_logo_grey\" title=\"samsung_logo_grey_150x74\" class=\"wp-image-121416 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/samsung_logo_grey_150x74.png\" data-ll-status=\"loaded\" style=\"background: transparent; margin: 0px; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; position: relative;\"\u003e\u003c\/span\u003e\u003c\/figure\u003e\u003cfigure\u003e\u003cspan class=\"et_pb_image_wrap \"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/Microsoft_logo_grey_150x74.png\" alt=\"Microsoft_logo_grey\" title=\"Microsoft_logo_grey_150x74\" class=\"wp-image-121422 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/Microsoft_logo_grey_150x74.png\" data-ll-status=\"loaded\" style=\"margin: 0px; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; background: transparent; position: relative;\"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2021\/03\/logo-sony.png\" alt=\"logo-sony\" title=\"logo-sony\" class=\"wp-image-139261 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2021\/03\/logo-sony.png\" data-ll-status=\"loaded\" style=\"background: transparent; margin: 0px; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; position: relative;\"\u003e\u003c\/span\u003e\u003c\/figure\u003e\u003cp\u003e\u003cspan class=\"et_pb_image_wrap \"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2020\/05\/Siemens-logo.png\" alt=\"Siemens logo\" title=\"Siemens logo\" class=\"wp-image-135837 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2020\/05\/Siemens-logo.png\" data-ll-status=\"loaded\" style=\"margin: 0px; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; background: transparent; position: relative;\"\u003e\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e","brand":"IOT Analytics","offers":[{"title":"Single User License","offer_id":50506419601478,"sku":"IOTANALYTICS13","price":195000.0,"currency_code":"INR","in_stock":true},{"title":"Team User License","offer_id":50506419634246,"sku":"IOTANALYTICS13-2","price":243750.0,"currency_code":"INR","in_stock":true},{"title":"Enterprise Premium License","offer_id":50506419667014,"sku":"IOTANALYTICS13-3","price":390000.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0754\/2797\/1142\/files\/smart-factory-adoption-report-2024.png?v=1791613280"},{"product_id":"data-management-and-analytics-market-report-20242030","title":"Data Management and Analytics Market Report 2024–2030","description":"\u003cp\u003e\u003cspan style=\"color: rgb(34, 34, 34); font-size: 24px; font-weight: 700;\"\u003eQuestions answered\u003c\/span\u003e\u003c\/p\u003e\u003ch3\u003e\u003cspan style=\"color: rgb(51, 51, 51); font-size: 16px;\"\u003eWhat constitutes data management, and how does its evolution reflect the strategic needs of contemporary business operations and decision-making?\u003c\/span\u003e\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eWhat is the market size for data management and analytics solutions? What is the projected growth?\u003c\/li\u003e\n\u003cli\u003eWhat specific developments and synergies within the market are projected to impact market size and outlook?\u003c\/li\u003e\n\u003cli\u003eWhich companies lead the market in terms of the market share?\u003c\/li\u003e\n\u003cli\u003eHow is the competitive landscape within data management evolving, particularly between hyperscalers and niche vendors?\u003c\/li\u003e\n\u003cli\u003eHow are organizations redefining data management practices to adapt to Gen AI’s growing influence across technology and industry sectors?\u003c\/li\u003e\n\u003cli\u003eHow are different end users leveraging the tools and technologies from data management vendors to solve real-world challenges?\u003c\/li\u003e\n\u003cli\u003eWhich pockets of data management are receiving the most funding, and what does the M\u0026amp;A situation look like?\u003c\/li\u003e\n\u003cli\u003eWhat are the notable trends shaping the data management and analytics landscape? How do the trends influence the direction of business strategy?\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eCompanies mentioned\u003c\/h3\u003e\u003cp\u003eAWS  Alibaba Cloud  Alteryx  Cloudera  Confluent  Databricks  Datadog  Google Cloud  IBM  Informatica  Mathworks  Microsoft\u003c\/p\u003e\u003cp\u003eMongoDB  Oracle  Qlik  SAP  Salesforce  Snowflake  Splunk  Teradata\u003c\/p\u003e\u003ch3\u003eAbout the report\u003c\/h3\u003e\u003cp\u003e\u003cb\u003eThe Data Management and Analytics Market Report 2024–2030 is part of IoT Analytics’ ongoing coverage of \u003ca href=\"https:\/\/iot-analytics.com\/our-coverage\/iot-platforms-software\/\" target=\"_blank\" rel=\"noopener\"\u003esoftware\/analytics\u003c\/a\u003e topics. \u003c\/b\u003eThe content presented in this report is based on a compilation of primary research, including surveys and interviews with 30+ industry experts from data management and analytics vendors and end users conducted between July 2023 and February 2024. The report encompasses a holistic overview of the current state of the data management and analytics market and its intersection with adjacent markets, such as Generative AI (Gen AI) and IoT, including market projections, factors driving adoption, the competitive landscape, a technology and process implementation overview, notable trends and developments, and insightful case studies.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eThe primary objective of this document is to provide our readers with a comprehensive understanding of the current data management and analytics landscape, offering in-depth analysis, market sizing, and valuable insights to facilitate informed decision-making and strategic planning.\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003ca href=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2024\/05\/Data-management-definition.png\" target=\"_blank\" rel=\"noopener\"\u003e\u003cimg decoding=\"async\" class=\"aligncenter entered lazyloaded\" alt=\"Data Management Definition\" width=\"1280\" height=\"720\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2024\/05\/Data-management-definition.png\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2024\/05\/Data-management-definition.png\" data-ll-status=\"loaded\" style=\"margin: 0px auto; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; background: transparent; clear: both; display: block;\"\u003e\u003c\/a\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eHow IoT Analytics defines Data Management\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eData management is the systematic approach to handling data, which includes the collection, storage, processing, utilization, and safeguarding of information.This process is integral to facilitating informed decision-making and supporting an organization’s strategic goals. By doing so, data management becomes a cornerstone in driving operational improvements, enhancing customer satisfaction, and achieving a competitive advantage in the marketplace.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eChallenges faced by industry leaders\u003c\/b\u003e\u003c\/p\u003e\u003col\u003e\n\u003cli\u003e\n\u003cb\u003eThe ever-increasing growth of data presents a key data management challenge. \u003c\/b\u003eTo tackle this, companies are deploying data management platforms that enhance data ingestion and analytics capabilities, helping to maintain clarity and control over their sprawling data assets.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eThe evolving regulatory landscape complicates compliance and increases risk. \u003c\/b\u003eA streamlined data management process with embedded compliance checks as part of the data governance framework, ensuring that data are processed in line with current laws, reduces the risk of breaches and non-compliance penalties.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eThe cost and complexity associated with data security and privacy are rising\u003c\/b\u003e\u003cb\u003e. \u003c\/b\u003eWell-managed data pipelines, equipped with proper security measures such as access controls, can enhance data protection mechanisms, making privacy management more methodical and reducing the financial burden on organizations.\u003c\/li\u003e\n\u003c\/ol\u003e\u003cp\u003eThe challenges mentioned above are just the tip of the iceberg. The right data management tools are thus critical in addressing these issues, enabling efficient data access and analysis that supports proactive and informed decision-making in a rapidly evolving market.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eAbout the data management market\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003ca href=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2024\/05\/Data-Management-Market-Snapshot-2024.png\" target=\"_blank\" rel=\"noopener\"\u003e\u003cimg decoding=\"async\" class=\"aligncenter entered lazyloaded\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2024\/05\/Data-Management-Market-Snapshot-2024.png\" alt=\"Data Management Market Snapshot 2024 \" width=\"1920\" height=\"1008\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2024\/05\/Data-Management-Market-Snapshot-2024.png\" data-ll-status=\"loaded\" style=\"margin: 0px auto; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; background: transparent; clear: both; display: block;\"\u003e\u003c\/a\u003e\u003c\/p\u003e\u003cp\u003eAccording to the \u003cb\u003eData Management and Analytics Market Report 2024–2030\u003c\/b\u003e by IoT Analytics, the market is predicted to grow at a compound annual growth rate (CAGR) of 16%. By 2030, it’s expected to be worth $513.3 billion.\u003c\/p\u003e\u003cp\u003eThe rising relevance of database technologies, data architectures, analytics, and data governance tools in fulfilling business needs has been instrumental in the recent expansion of the data management market.\u003c\/p\u003e\u003cp\u003eOver the next six years, data analytics is predicted to contribute significantly to the growth of the \u003cb\u003edata management market\u003c\/b\u003e. Notably, data science is seeing an uptick, surpassing the overall market growth due to the increased demand for AI and ML tools, such as predictive analytics and generative AI.\u003c\/p\u003e\u003cp\u003eOur insights are trusted by global industry leaders\u003c\/p\u003e\u003cfigure\u003e\u003cspan class=\"et_pb_image_wrap \"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/abb_logo_grey_150x74_v2.png\" alt=\"abb_logo_grey\" title=\"abb_logo_grey_150x74_v2\" class=\"wp-image-121421 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/abb_logo_grey_150x74_v2.png\" data-ll-status=\"loaded\" style=\"margin: 0px; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; background: transparent; position: relative;\"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/samsung_logo_grey_150x74.png\" alt=\"samsung_logo_grey\" title=\"samsung_logo_grey_150x74\" class=\"wp-image-121416 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/samsung_logo_grey_150x74.png\" data-ll-status=\"loaded\" style=\"background: transparent; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; position: relative; margin: 0px;\"\u003e\u003c\/span\u003e\u003c\/figure\u003e\u003cfigure\u003e\u003cspan class=\"et_pb_image_wrap \"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/Microsoft_logo_grey_150x74.png\" alt=\"Microsoft_logo_grey\" title=\"Microsoft_logo_grey_150x74\" class=\"wp-image-121422 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/Microsoft_logo_grey_150x74.png\" data-ll-status=\"loaded\" style=\"padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; background: transparent; position: relative; margin: 0px;\"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2021\/03\/logo-sony.png\" alt=\"logo-sony\" title=\"logo-sony\" class=\"wp-image-139261 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2021\/03\/logo-sony.png\" data-ll-status=\"loaded\" style=\"background: transparent; margin: 0px; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; position: relative;\"\u003e\u003c\/span\u003e\u003c\/figure\u003e\u003cp\u003e\u003cspan class=\"et_pb_image_wrap \"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2020\/05\/Siemens-logo.png\" alt=\"Siemens logo\" title=\"Siemens logo\" class=\"wp-image-135837 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2020\/05\/Siemens-logo.png\" data-ll-status=\"loaded\" style=\"margin: 0px; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; background: transparent; position: relative;\"\u003e\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e","brand":"IOT Analytics","offers":[{"title":"Single User License","offer_id":50506420584518,"sku":"IOTANALYTICS14","price":292500.0,"currency_code":"INR","in_stock":true},{"title":"Team User License","offer_id":50506420617286,"sku":"IOTANALYTICS14-2","price":390000.0,"currency_code":"INR","in_stock":true},{"title":"Enterprise Premium License","offer_id":50506420650054,"sku":"IOTANALYTICS14-3","price":585000.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0754\/2797\/1142\/files\/data-management-and-analytics-market-report-20242030.png?v=1791612933"},{"product_id":"iot-startup-landscape-and-database-2024","title":"IoT Startup Landscape and Database 2024","description":"\u003cp\u003e\u003cspan style=\"color: rgb(34, 34, 34); font-size: 24px; font-weight: 700;\"\u003eAbout the database\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003eThe \u003cb\u003eIoT Startup Landscape and Database 2024 report \u003c\/b\u003eis part of IoT Analytics’ ongoing coverage of \u003cb\u003e\u003ca href=\"https:\/\/iot-analytics.com\/our-coverage\/general-iot\/\" target=\"_blank\" rel=\"noopener\"\u003egeneral IoT\u003c\/a\u003e. \u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eThis database classifies over 3,330 IoT startups with more than 60 points for each startup. The number of\u003cb\u003e active IoT startups identified reached 3,330 in 2024\u003c\/b\u003e, compared to significantly less in a similar exercise in 2021.The report reveals not only the top funded start-up but also detailed information for all of them.\u003c\/p\u003e\u003cp\u003eThe\u003cb\u003e most funded IoT startups\u003c\/b\u003e include for example \u003cb\u003eEswinComputing\u003c\/b\u003e, \u003cb\u003eFigure\u003c\/b\u003e and \u003cb\u003eVerkada\u003c\/b\u003e.\u003c\/p\u003e\u003cp\u003eThe IoT Analytics analyst team handpicked 17 IoT startups that are innovative and promising. Examples include \u003cb\u003eai-omatic\u003c\/b\u003e (AI-based predictive maintenance software), \u003cb\u003ePio\u003c\/b\u003e (automated storage and retrieval system), and \u003cb\u003eZariot\u003c\/b\u003e (IoT connectivity provider).\u003c\/p\u003e\u003ch3\u003eThe database is suited for the following topics\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eM\u0026amp;A target search\u003c\/li\u003e\n\u003cli\u003eIoT strategy \/ business case development\u003c\/li\u003e\n\u003cli\u003eGo-to-market \/ market entry strategy\u003c\/li\u003e\n\u003cli\u003eCustomer \/ vendor selection\u003c\/li\u003e\n\u003cli\u003eSector scan\u003c\/li\u003e\n\u003cli\u003eCompetitive analysis\u003c\/li\u003e\n\u003cli\u003eDue diligence\u003c\/li\u003e\n\u003cli\u003eInvestment opportunity search\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eThe database of IoT startup companies is structured along the following dimensions\u003c\/h3\u003e\u003col\u003e\n\u003cli\u003e\n\u003cb\u003eGeneral information\u003c\/b\u003e (company name, description, type and location)\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eIoT Technology capabilities\u003c\/b\u003e (IoT Hardware, IoT Connectivity, IoT Middleware \u0026amp; Software Infrastructure, and Application \u0026amp; Services, Other)\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eSegment focus\u003c\/b\u003e (Finance, Agriculture, Connected buildings, Retail, Enterprise \/ IT infrastructure \u0026amp; Security, Health \u0026amp; Pharmaceuticals, Energy \/ utilities, Mobility,Smart Cities, Manufacturing \/ Industrial, Supply Chain, Public sector, Gov. \u0026amp; services, Other business, etc.) \u0026amp; Enablers (i.e., VC\/Investors, Consulting, Incubators, etc.).\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eFurther information\u003c\/b\u003e (Founded, LinkedIn, Email, Phone, Founder, No. Of Employees, Last Funding Date, Last Funding Amount, Last Funding Amount Currency, Total funding, Total funding currency, Number of Investors, Top 5 investors, Funding type, Estimated revenue, Number of acquisitions)\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eLarge startups\u003c\/b\u003e (\u0026gt; 1M$ annual revenue, \u0026gt;50 employees, series B or higher, yes\/no)\u003c\/li\u003e\n\u003c\/ol\u003e\u003ch3\u003eQuestions answered\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cb\u003eHow many \u003c\/b\u003eIoT startups exist in 2024? How has that number changed over time?\u003c\/li\u003e\n\u003cli\u003eHow has the IoT startup \u003cb\u003elandscape changed \u003c\/b\u003esince 2021?\u003c\/li\u003e\n\u003cli\u003eWhich IoT startups have the \u003cb\u003ehighest funding\u003c\/b\u003e?\u003c\/li\u003e\n\u003cli\u003eWhich \u003cb\u003eIoT tech stack\u003c\/b\u003e are IoT startups offering?\u003c\/li\u003e\n\u003cli\u003eWhich \u003cb\u003ecountries\/regions\u003c\/b\u003e are home to the most IoT startups?\u003c\/li\u003e\n\u003cli\u003eWhat \u003cb\u003everticals\u003c\/b\u003e are IoT startups focusing on?\u003c\/li\u003e\n\u003cli\u003eHow many IoT startups have been \u003cb\u003eacquired\u003c\/b\u003e?\u003c\/li\u003e\n\u003cli\u003eWho are the \u003cb\u003emost active investors \u003c\/b\u003ein IoT startups?\u003c\/li\u003e\n\u003cli\u003eWhich IoT startups do the \u003cb\u003eIoT Analytics’ analyst team \u003c\/b\u003efind interesting?\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cspan style=\"color: rgb(34, 34, 34); font-size: 24px; font-weight: 700;\"\u003eCompanies mentioned\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003eai-omatic solutions  DeepVu  Edge Impulse  Figure  H2Ok Innovations  Infogrid  Onehouse  peaq  Pio  PUDU Robotics  Scale AI\u003c\/p\u003e\u003cp\u003eSkylo  Thundercomm  Timeseer.AI  Tomorrow Things  Wiliot  ZARIOT\u003c\/p\u003e\u003cp\u003eOur insights are trusted by global industry leaders\u003c\/p\u003e\u003cfigure\u003e\u003cspan class=\"et_pb_image_wrap \"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/abb_logo_grey_150x74_v2.png\" alt=\"abb_logo_grey\" title=\"abb_logo_grey_150x74_v2\" class=\"wp-image-121421 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/abb_logo_grey_150x74_v2.png\" data-ll-status=\"loaded\" style=\"margin: 0px; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; background: transparent; position: relative;\"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/samsung_logo_grey_150x74.png\" alt=\"samsung_logo_grey\" title=\"samsung_logo_grey_150x74\" class=\"wp-image-121416 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/samsung_logo_grey_150x74.png\" data-ll-status=\"loaded\" style=\"background: transparent; margin: 0px; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; position: relative;\"\u003e\u003c\/span\u003e\u003c\/figure\u003e\u003cfigure\u003e\u003cspan class=\"et_pb_image_wrap \"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/qualcomm_logo_grey_150x74.png\" alt=\"qualcomm_logo_grey\" title=\"qualcomm_logo_grey_150x74\" class=\"wp-image-121414 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/qualcomm_logo_grey_150x74.png\" data-ll-status=\"loaded\" style=\"margin: 0px; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; background: transparent; position: relative;\"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2021\/03\/logo-sony.png\" alt=\"logo-sony\" title=\"logo-sony\" class=\"wp-image-139261 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2021\/03\/logo-sony.png\" data-ll-status=\"loaded\" style=\"background: transparent; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; position: relative; margin: 0px;\"\u003e\u003c\/span\u003e\u003c\/figure\u003e\u003cp\u003e\u003cspan class=\"et_pb_image_wrap \"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2020\/05\/Siemens-logo.png\" alt=\"Siemens logo\" title=\"Siemens logo\" class=\"wp-image-135837 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2020\/05\/Siemens-logo.png\" data-ll-status=\"loaded\" style=\"margin: 0px; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; background: transparent; position: relative;\"\u003e\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e","brand":"IOT Analytics","offers":[{"title":"Single User License","offer_id":50506420682822,"sku":"IOTANALYTICS15","price":195000.0,"currency_code":"INR","in_stock":true},{"title":"Team User License","offer_id":50506420715590,"sku":"IOTANALYTICS15-2","price":243750.0,"currency_code":"INR","in_stock":true},{"title":"Enterprise Premium License","offer_id":50506420748358,"sku":"IOTANALYTICS15-3","price":390000.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0754\/2797\/1142\/files\/iot-startup-landscape-and-database-2024.png?v=1791613173"},{"product_id":"industrial-connectivity-market-report-20242028","title":"Industrial Connectivity Market Report 2024–2028","description":"\u003cp\u003e\u003cb\u003eQuestions answered\u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eWhat is the size of the overall \u003cb\u003eindustrial connectivity market\u003c\/b\u003e by component, region, and industry?\u003c\/li\u003e\n\u003cli\u003eWhat are some \u003cb\u003ekey trends and challenges \u003c\/b\u003ein the industrial connectivity space?\u003c\/li\u003e\n\u003cli\u003eWhat types of \u003cb\u003ehardware\u003c\/b\u003e are used for data acquisition, who are the leading suppliers, and how might the landscape change in the future?\u003c\/li\u003e\n\u003cli\u003eWhat types of \u003cb\u003eprotocol converters software \u003c\/b\u003eare used for data acquisition, who are the leading suppliers, and how will the landscape change in the future?\u003c\/li\u003e\n\u003cli\u003eWhat is the role of \u003cb\u003emessage broker software \u003c\/b\u003ein industrial connectivity, who are the leading vendors, and how will the market change in the future?\u003c\/li\u003e\n\u003cli\u003eWhat are the elements of the quickly evolving space of \u003cb\u003eindustrial data operations (\u003c\/b\u003e\u003cb\u003eDataOps\u003c\/b\u003e\u003cb\u003e)\u003c\/b\u003e \u003cb\u003esoftware\u003c\/b\u003e, who are the leading suppliers, and what changes are anticipated in the future?\u003c\/li\u003e\n\u003cli\u003eWhat technologies are involved in \u003cb\u003etransmitting \u003c\/b\u003ethe data from source to destination?\u003c\/li\u003e\n\u003cli\u003eWhat are the most common \u003cb\u003earchitectures\u003c\/b\u003e for achieving industrial connectivity, and how might this change in the future?\u003c\/li\u003e\n\u003cli\u003eWhat are the most common \u003cb\u003eprotocols\u003c\/b\u003e used between each layer of the connectivity stack, and how could this change in the future?\u003c\/li\u003e\n\u003cli\u003eWhat are some examples of factories and original equipment manufacturers (OEMs) using industrial connectivity to create value (i.e., industrial connectivity \u003cb\u003ecase studies\u003c\/b\u003e)?\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eCompanies mentioned\u003c\/h3\u003e\u003cp\u003eABB  Advantech  Amazon-AWS  Belden  Cognite Cybus  dDriven Emerson  Endress+Hauser  Eurotech  HMS Industrial Networks\u003c\/p\u003e\u003cp\u003eHighByte  HiveMQ  Honeywell  IFM Electronic  Kepware\/PTC  Litmus  Matrikon\/Honeywell  Microsoft  Omron  Phoenix Contact\u003c\/p\u003e\u003cp\u003eRockwell  SICK  Schneider Electric  Siemens  Softing  TimeSeer  Yokogawa\u003c\/p\u003e\u003ch3\u003eAbout the report\u003c\/h3\u003e\u003cp\u003eThe\u003cb\u003e Industrial Connectivity Market Report 2024–2028 \u003c\/b\u003eis part of IoT Analytics’ comprehensive coverage of \u003ca href=\"https:\/\/iot-analytics.com\/our-coverage\/industrial-iot\/\" target=\"_blank\" rel=\"noopener\"\u003e\u003cb\u003eindustrial and connectivity topics\u003c\/b\u003e\u003c\/a\u003e. The content presented in this report is based on a combination of primary and secondary research, including 35+ interviews with industrial connectivity vendors and system integrators conducted between June 2023 and June 2024.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eThe primary objective of this document is to provide our readers with a comprehensive understanding of the current industrial connectivity market landscape. It offers in-depth analysis of industrial connectivity hardware, software, architectures, protocols, technologies, market projections, factors driving adoption, notable trends, and insightful case studies to facilitate informed decision-making and strategic planning.\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e\u003ch3\u003eIndustrial connectivity definition\u003c\/h3\u003e\u003cp\u003e\u003ca href=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2024\/07\/Industrial-connectivity-definition.png\" target=\"_blank\" rel=\"noopener\"\u003e\u003cimg decoding=\"async\" class=\"aligncenter\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2024\/07\/Industrial-connectivity-definition.png\" alt=\"Industrial connectivity definition\" width=\"1280\" height=\"720\" style=\"margin: 0px auto; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; background: transparent; clear: both; display: block;\"\u003e\u003c\/a\u003e\u003c\/p\u003e\u003cp\u003eIndustrial connectivity is the process of data exchange between industrial nodes, with seven key elements. These are data acquisition, DataOps, data storage, data transmission, data governance, architecture, and security.\u003c\/p\u003e\u003ch3\u003eOverview of the industrial connectivity market\u003c\/h3\u003e\u003cp\u003eAccording to the Industrial Connectivity Market Report 2024–2028 by IoT Analytics, the global industrial connectivity market is projected to grow\u003cb\u003e from $89 billion in 2023 to $104 billion by 2028 at a CAGR of 5% over the next 4 years\u003c\/b\u003e.\u003c\/p\u003e\u003cp\u003eAs manufacturers get ready for the factory of the future, industrial connectivity is changing. Emerging shifts include widespread data availability enabled by smart nodes, streamlined data management through DataOps, and flexible architectures facilitated by edge and cloud advancements.\u003c\/p\u003e\u003cp\u003eIndustrial connectivity hardware will continue to have the dominant share of the overall industrial connectivity market but is expected to grow the slowest, with the software segments growing the fastest. Within the software segments. the \u003cb\u003eindustrial connectivity protocol converter software market is projected to grow at above 10% CAGR\u003c\/b\u003e, while the smaller segment of message brokers (MQTT brokers) software is expected to grow at much faster pace. The industrial DataOps market is emerging rapidly. The DataOps software market, which consists of data quality management and data modeling, is expected to grow at the fastest pace in the next four years.\u003c\/p\u003e\u003ch3\u003eSeven key shifts are emerging with an impact on industrial connectivity\u003c\/h3\u003e\u003ctable\u003e\n\u003cthead\u003e\u003ctr\u003e\n\u003cth\u003eIn the past\u003c\/th\u003e\n\u003cth\u003eIn the future\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eLimited data availability\u003c\/td\u003e\n\u003ctd\u003eWidespread data availability-enabled by smart nodes, protocols, converters\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRigid, siloed architectures\u003c\/td\u003e\n\u003ctd\u003eFlexible, scalable architectures—enabled by edge and cloud advancements\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePoor data management\u003c\/td\u003e\n\u003ctd\u003eStreamlined data management—enabled by industrial DataOps practices\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSlow and fragmented connectivity\u003c\/td\u003e\n\u003ctd\u003eFast connectivity—enabled by interoperable Ethernet-based networks\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRestrictive wired connections\u003c\/td\u003e\n\u003ctd\u003eFlexible wireless networks—enabled by wireless mediums and protocols\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBasic hardware capabilities\u003c\/td\u003e\n\u003ctd\u003eAdvanced hardware—enabled by integration of powerful CPUs\/GPUs\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eHardware dependent computing\u003c\/td\u003e\n\u003ctd\u003eDistributed computing—enabled by edge and software-defined hardware\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\u003cp\u003e\u003cstrong\u003eOur insights are trusted by global industry leaders\u003c\/strong\u003e\u003c\/p\u003e\u003cfigure\u003e\u003cspan class=\"et_pb_image_wrap \"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/abb_logo_grey_150x74_v2.png\" alt=\"abb_logo_grey\" title=\"abb_logo_grey_150x74_v2\" class=\"wp-image-121421 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/abb_logo_grey_150x74_v2.png\" data-ll-status=\"loaded\" style=\"padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; background: transparent; position: relative; margin: 0px;\"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/samsung_logo_grey_150x74.png\" alt=\"samsung_logo_grey\" title=\"samsung_logo_grey_150x74\" class=\"wp-image-121416 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/samsung_logo_grey_150x74.png\" data-ll-status=\"loaded\" style=\"background: transparent; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; position: relative; margin: 0px;\"\u003e\u003c\/span\u003e\u003c\/figure\u003e\u003cfigure\u003e\u003cspan class=\"et_pb_image_wrap \"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/Microsoft_logo_grey_150x74.png\" alt=\"Microsoft_logo_grey\" title=\"Microsoft_logo_grey_150x74\" class=\"wp-image-121422 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/Microsoft_logo_grey_150x74.png\" data-ll-status=\"loaded\" style=\"margin: 0px; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; background: transparent; position: relative;\"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2021\/03\/logo-sony.png\" alt=\"logo-sony\" title=\"logo-sony\" class=\"wp-image-139261 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2021\/03\/logo-sony.png\" data-ll-status=\"loaded\" style=\"background: transparent; margin: 0px; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; position: relative;\"\u003e\u003c\/span\u003e\u003c\/figure\u003e\u003cp\u003e\u003cspan class=\"et_pb_image_wrap \"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2020\/05\/Siemens-logo.png\" alt=\"Siemens logo\" title=\"Siemens logo\" class=\"wp-image-135837 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2020\/05\/Siemens-logo.png\" data-ll-status=\"loaded\" style=\"margin: 0px; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; background: transparent; position: relative;\"\u003e\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e","brand":"IOT Analytics","offers":[{"title":"Single User License","offer_id":50506420879430,"sku":"IOTANALYTICS16","price":292500.0,"currency_code":"INR","in_stock":true},{"title":"Team User License","offer_id":50506420912198,"sku":"IOTANALYTICS16-2","price":390000.0,"currency_code":"INR","in_stock":true},{"title":"Enterprise Premium License","offer_id":50506420944966,"sku":"IOTANALYTICS16-3","price":585000.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0754\/2797\/1142\/files\/industrial-connectivity-market-report-20242028.png?v=1791613067"},{"product_id":"b2b-technology-marketplaces-market-report-20242030","title":"B2B Technology Marketplaces Market Report 2024–2030","description":"\u003cp\u003e\u003cspan style=\"color: rgb(34, 34, 34); font-size: 24px; font-weight: 700;\"\u003eQuestions answered\u003c\/span\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eWhich \u003cb\u003etechnologies \u003c\/b\u003eare used for building B2B technology marketplaces?\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"ui-provider a b c d e f g h i j k l m n o p q r s t u v w x y z ab ac ae af ag ah ai aj ak\" dir=\"ltr\"\u003eWhich are the\u003cb\u003e leading B2B marketplaces\u003c\/b\u003e and some of their case studies?\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003eWhich \u003cb\u003enew business models \u003c\/b\u003edo B2B technology marketplaces allow?\u003c\/li\u003e\n\u003cli\u003eHow much is \u003cb\u003espent on \u003c\/b\u003e\u003cb\u003eB2B technology m\u003c\/b\u003e\u003cb\u003earketplaces \u003c\/b\u003e\u003cb\u003etoday, \u003c\/b\u003eand what will it look like in 2030?\u003c\/li\u003e\n\u003cli\u003eHow do cloud marketplaces \u003cb\u003edifferentiate from each other\u003c\/b\u003e?\u003c\/li\u003e\n\u003cli\u003eHow do \u003cb\u003eindustrial automation sellers \u003c\/b\u003eposition themselves and their marketplaces?\u003c\/li\u003e\n\u003cli\u003eWhat \u003cb\u003ebenefits \u003c\/b\u003eare companies seeing from opening their own B2B technology marketplace and from selling on a B2B technology marketplace?\u003c\/li\u003e\n\u003cli\u003eWhat are the \u003cb\u003etrends and challenges \u003c\/b\u003ewhen it comes to B2B technology marketplaces?\u003c\/li\u003e\n\u003cli\u003e\u003cspan class=\"ui-provider a b c d e f g h i j k l m n o p q r s t u v w x y z ab ac ae af ag ah ai aj ak\" dir=\"ltr\"\u003eHow much \u003cb\u003emarket share\u003c\/b\u003e do leading B2B marketplace platform providers have?\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eCompanies mentioned\u003c\/h3\u003e\u003cp\u003eABB  AWS  Advantech  AppDirect  Azure  Cancom  CloudBlue  CrowdStrike  Google  Mirakl  Oro  PTC  Phoenix Contact  RedHat  SAP  Salesforce  Schneider Electric  Siemens  Splunk  Spryker  Tackle  VMware  Verizon  Zuora\u003c\/p\u003e\u003ch3\u003eAbout the report\u003c\/h3\u003e\u003cp\u003eThe \u003cb\u003eB2B Technology Marketplaces Market Report 2024–2030 \u003c\/b\u003eis part of IoT Analytics’ ongoing coverage of \u003ca href=\"https:\/\/iot-analytics.com\/our-coverage\/iot-platforms-software\/\" target=\"_blank\" rel=\"noopener\"\u003eIoT software and platforms\u003c\/a\u003e. The information presented in this report is based on the results of multiple surveys, secondary research, and qualitative research, i.e., interviews with cloud experts, sellers, and end users between May and December 2023. The document includes definitions for the B2B technology marketplace, marketplace platform providers, adoption drivers, competitive landscapes, key trends and developments, and case studies.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eThe main purpose of this document is to help our readers understand the current landscape of B2B technology marketplaces by defining, sizing, and analyzing the market.\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003ca href=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2024\/01\/Definition-and-disambiguation-of-digital-B2B-technology-marketplaces.png\" target=\"_blank\" rel=\"noopener\"\u003e\u003cimg decoding=\"async\" class=\"alignnone entered lazyloaded\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2024\/01\/Definition-and-disambiguation-of-digital-B2B-technology-marketplaces.png\" alt=\"Definition and disambiguation of digital b2b technology marketplaces\" width=\"1920\" height=\"1080\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2024\/01\/Definition-and-disambiguation-of-digital-B2B-technology-marketplaces.png\" data-ll-status=\"loaded\" style=\"margin: 0px; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; background: transparent;\"\u003e\u003c\/a\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eWhat are digital B2B technology marketplaces?\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eDigital B2B Technology Marketplaces are online platforms that enable commercial transactions of technology products between businesses. These platforms are distinct from other types of B2B marketplaces due to their specific focus on technology products.\u003c\/p\u003e\u003cp\u003eThis analysis does not include B2C technology marketplaces. The functionalities and ecosystems of B2C marketplaces differ significantly from those of B2B marketplaces, as they are designed to cater to individual consumers rather than businesses.\u003c\/p\u003e\u003cp\u003eSimilarly, B2B non-technology marketplaces are not part of this discussion. The aim is to understand the unique dynamics, challenges, and opportunities within the technology sector.\u003c\/p\u003e\u003cp\u003eIoT Analytics excludes single-seller B2B technology marketplaces from this report, as single-seller online platforms are considered eCommerce websites and not marketplaces.\u003c\/p\u003e\u003cp\u003eDigital B2B Technology Marketplaces are a significant component of the modern tech sector. They provide a platform for businesses to engage in \u003cspan class=\"ui-provider a b c d e f g h i j k l m n o p q r s t u v w x y z ab ac ae af ag ah ai aj ak\" dir=\"ltr\"\u003ecommercial transactions\u003c\/span\u003e of technology products, contributing to the growth and innovation in the sector. Further research and analysis are required to fully understand their impact and potential.\u003c\/p\u003e\u003cp\u003e\u003ca href=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2024\/01\/Digital-B2B-technology-marketplace-ecosystem.png\" target=\"_blank\" rel=\"noopener\"\u003e\u003cimg decoding=\"async\" class=\"alignnone\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2024\/01\/Digital-B2B-technology-marketplace-ecosystem.png\" alt=\"Digital B2B technology marketplaces ecosystem\" width=\"1920\" height=\"1080\" style=\"margin: 0px; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; background: transparent;\"\u003e\u003c\/a\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eThere are four main actors in a digital B2B technology marketplace ecosystem\u003c\/b\u003e\u003c\/p\u003e\u003col\u003e\n\u003cli\u003e\n\u003cb\u003eMarketplace platform provider\u003c\/b\u003ePlatform providers are companies that build and maintain a marketplace platform.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eMarketplace operator\u003c\/b\u003eThe marketplace operator owns and manages the platform.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eMarketplace seller\u003c\/b\u003eThe marketplace seller is a third-party seller that sells its products and\/or services on a marketplace.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eMarketplace customer\u003c\/b\u003eThe marketplace customer is a buyer that purchases products and\/or services from vendors on a marketplace.\u003c\/li\u003e\n\u003c\/ol\u003e\u003cp\u003e\u003cb\u003eB2B technology marketplace spending\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eSoftware\u003c\/b\u003e has emerged as the fastest-growing category. This surge is largely attributed to the widespread adoption of cloud and Software as a Service (SaaS) solutions.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eHardware\u003c\/b\u003e, while accounting for less than half of the spending in B2B technology marketplaces in 2022, has experienced moderate growth. This is due to factors such as high upfront costs and longer product life cycles.\u003c\/p\u003e\u003cp\u003eLastly, \u003cb\u003eServices\u003c\/b\u003e have seen a steady, albeit slower, growth. This trend is influenced by the rise of “as-a-service” models, including maintenance and support.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eOur insights are trusted by global industry leaders\u003c\/strong\u003e\u003c\/p\u003e\u003cfigure\u003e\u003cspan class=\"et_pb_image_wrap \"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/abb_logo_grey_150x74_v2.png\" alt=\"abb_logo_grey\" title=\"abb_logo_grey_150x74_v2\" class=\"wp-image-121421 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/abb_logo_grey_150x74_v2.png\" data-ll-status=\"loaded\" style=\"margin: 0px; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; background: transparent; position: relative;\"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/samsung_logo_grey_150x74.png\" alt=\"samsung_logo_grey\" title=\"samsung_logo_grey_150x74\" class=\"wp-image-121416 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/samsung_logo_grey_150x74.png\" data-ll-status=\"loaded\" style=\"background: transparent; margin: 0px; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; position: relative;\"\u003e\u003c\/span\u003e\u003c\/figure\u003e\u003cfigure\u003e\u003cspan class=\"et_pb_image_wrap \"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/Microsoft_logo_grey_150x74.png\" alt=\"Microsoft_logo_grey\" title=\"Microsoft_logo_grey_150x74\" class=\"wp-image-121422 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/Microsoft_logo_grey_150x74.png\" data-ll-status=\"loaded\" style=\"padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; background: transparent; position: relative; margin: 0px;\"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2021\/03\/logo-sony.png\" alt=\"logo-sony\" title=\"logo-sony\" class=\"wp-image-139261 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2021\/03\/logo-sony.png\" data-ll-status=\"loaded\" style=\"background: transparent; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; position: relative; margin: 0px;\"\u003e\u003c\/span\u003e\u003c\/figure\u003e\u003cp\u003e\u003cspan class=\"et_pb_image_wrap \"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2020\/05\/Siemens-logo.png\" alt=\"Siemens logo\" title=\"Siemens logo\" class=\"wp-image-135837 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2020\/05\/Siemens-logo.png\" data-ll-status=\"loaded\" style=\"margin: 0px; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; background: transparent; position: relative;\"\u003e\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e","brand":"IOT Analytics","offers":[{"title":"Single User License","offer_id":50506420977734,"sku":"IOTANALYTICS17","price":292500.0,"currency_code":"INR","in_stock":true},{"title":"Team User License","offer_id":50506421010502,"sku":"IOTANALYTICS17-2","price":390000.0,"currency_code":"INR","in_stock":true},{"title":"Enterprise Premium License","offer_id":50506421043270,"sku":"IOTANALYTICS17-3","price":585000.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0754\/2797\/1142\/files\/b2b-technology-marketplaces-market-report-20242030.png?v=1791612918"},{"product_id":"iot-use-case-adoption-report-2024","title":"IoT Use Case Adoption Report 2024","description":"\u003cp\u003e\u003cspan style=\"color: rgb(34, 34, 34); font-size: 24px; font-weight: 700;\"\u003eQuestions answered\u003c\/span\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eWhat are the most adopted IoT use cases (out of a list of 27)?\u003c\/li\u003e\n\u003cli\u003eWhich IoT use cases have the highest return on investment (ROI)?\u003c\/li\u003e\n\u003cli\u003eWhich KPIs are most important for a company’s IoT strategy, and how are the KPIs affected by implementing IoT use cases?\u003c\/li\u003e\n\u003cli\u003eHow much do companies spend on hardware, software, and services for individual IoT use cases?\u003c\/li\u003e\n\u003cli\u003eWhich IoT use cases do companies plan to invest in the most in 2024?\u003c\/li\u003e\n\u003cli\u003eWho are the leading vendors for IoT use cases, how satisfied are end users, and what are the strengths and weaknesses of the top vendors?\u003c\/li\u003e\n\u003cli\u003eWhat challenges do IoT end users face when implementing use cases?\u003c\/li\u003e\n\u003cli\u003eHow do companies ensure their workforce has the necessary IoT skills?\u003c\/li\u003e\n\u003cli\u003eHow much are companies’ IoT strategies impacting their sustainability goals?\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eCompanies mentioned\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eA selection of companies mentioned in the report.\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eABB   AT\u0026amp;T   AWS  Accenture  BCG  Bosch  Cisco  Dell  Google\u003c\/p\u003e\u003cp\u003eHoneywell  IBM  Microsoft  Oracle  Palo Alto Networks  Rockwell Automation\u003c\/p\u003e\u003cp\u003eSAP  Salesforce  Schneider Electric  Siemens\u003c\/p\u003e\u003cp\u003e\u003cspan style=\"color: rgb(34, 34, 34); font-size: 24px; font-weight: 700;\"\u003eAbout the report\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003eThe \u003cb\u003eIoT Use Case Adoption Report 2024 \u003c\/b\u003eis part of IoT Analytics’ ongoing coverage of the \u003ca href=\"https:\/\/iot-analytics.com\/our-coverage\/general-iot\/\" target=\"_blank\" rel=\"noopener\"\u003eIoT in general\u003c\/a\u003e. The information presented in this report is based on an extensive survey of IoT end-users in manufacturing, healthcare, retail, and other industries. The purpose is to inform other market participants about the current state of adoption of IoT use cases across companies.\u003c\/p\u003e\u003ch3\u003eHow IoT use cases have evolved since 2021\u003c\/h3\u003e\u003cp\u003e\u003cb\u003eIoT initiatives are \u003c\/b\u003e\u003cu\u003e\u003cb\u003eeven more\u003c\/b\u003e\u003c\/u\u003e\u003cb\u003e successful, but payback takes time. \u003c\/b\u003eCurrently a majority of IoT projects have a positive ROI, a 13-percentage point increase compared to 2021. However, the share of projects that amortize in 2 years have declined.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eAPAC is \u003c\/b\u003e\u003cu\u003e\u003cb\u003esteadily\u003c\/b\u003e\u003c\/u\u003e\u003cb\u003e ahead; North America \u003c\/b\u003e\u003cu\u003e\u003cb\u003eis catching up\u003c\/b\u003e\u003c\/u\u003e\u003cb\u003e. \u003c\/b\u003eIn 2024, APAC companies are still at ~11 use cases rolled out on average (+0.9 increase since 2021). North America and Europe have each rolled out ~10 use cases (+3.5 and +1.7 since 2021, respectively).\u003c\/p\u003e\u003ch3\u003eThis report includes 27 IoT use cases across smart operations, smart supply chain, and connected products\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cb\u003eProcess automation\u003c\/b\u003e. Integrating IoT to automate routine processes, enhancing productivity and accuracy.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eQuality control \u0026amp; management\u003c\/b\u003e. Integrating IoT (e.g., machine vision) to enhance quality processes.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eEnergy monitoring\u003c\/b\u003e. Integrating IoT to monitor energy consumption for individual assets.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eOperations planning and scheduling\u003c\/b\u003e. Leveraging IoT for real-time scheduling and planning to improve operational efficiency.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eAsset performance optimization. \u003c\/b\u003eUtilizing IoT to enhance operational efficiency and effectiveness of assets.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eRemote asset monitoring. \u003c\/b\u003eUtilizing IoT to monitor assets remotely in a read-only format for performance tracking.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eCondition-based maintenance\/monitoring. \u003c\/b\u003eUtilizing IoT to perform maintenance based on the condition of equipment.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003ePlant\/worker safety. \u003c\/b\u003eLeveraging IoT (e.g., smart cameras) to enhance safety measures within a plant and for workers.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eEmissions\/waste tracking. \u003c\/b\u003eIntegrating IoT to monitor emissions or waste of operations.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eRemote asset control. \u003c\/b\u003eEmploying IoT for remote control of assets (e.g., remote trouble shooting).\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eWork condition monitoring. \u003c\/b\u003eEmploying IoT for monitoring environmental conditions of workers (e.g., temperature, humidity, air quality) to ensure worker health.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003ePredictive maintenance. \u003c\/b\u003eEmploying IoT to predict when maintenance is required to prevent downtime.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eAugmented services\/maintenance. \u003c\/b\u003eUsing augmented reality (AR) to improve field service and maintenance.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eAugmented operations. \u003c\/b\u003eUsing augmented reality (AR) to improve operations.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eReal-time inventory management. \u003c\/b\u003eUtilizing IoT for tracking inventory levels in real-time to optimize stock and reduce shortages or excesses.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eSupply chain track \u0026amp; trace. \u003c\/b\u003eEmploying IoT for monitoring the location, condition and\/or status of products and materials along the supply chain.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eOn-site facility track \u0026amp; trace. \u003c\/b\u003eEmploying IoT for real-time tracking and tracing of assets on a site (e.g., in a factory or warehouse).\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eLocation tracking (e.g., GPS). \u003c\/b\u003eEmploying IoT for real-time location tracking of products\/assets\/devices.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eSustainability and energy efficiency. \u003c\/b\u003eEmploying IoT to monitor and control energy usage of products, promoting sustainability and cost savings for users.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eCondition\/health monitoring. \u003c\/b\u003eUtilizing IoT for monitoring the condition, status or health of products\/assets\/devices.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eIoT-data based product usage optimization. \u003c\/b\u003eLeveraging IoT data for optimizing product usage and offering suggestions to customers.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003ePredictive maintenance. \u003c\/b\u003eEmploying IoT to predict and perform maintenance on products\/assets\/devices.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eRemote asset control. \u003c\/b\u003eEmploying IoT for remote control of products (e.g., remote troubleshooting).\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eProduct engineering. \u003c\/b\u003eUsing actual IoT product usage data from customers to enhance future products.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eSelling assets\/products “as-a-service”. \u003c\/b\u003eUtilizing IoT to offer products or assets as a service.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eOver-the-air firmware updates (FOTA). \u003c\/b\u003eLeveraging IoT for remote firmware updates.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eOver-the-air software updates (SOTA). \u003c\/b\u003eEmploying IoT for remote software updates.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eAnalyses in the report includes\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cb\u003eIoT use case adoption \u003c\/b\u003e(by region, by industry, by use case group)\u003c\/li\u003e\n\u003cli\u003eDetailed \u003cb\u003ebreakdown of IoT use case spending\u003c\/b\u003e (upfront, recurring, hardware, software, services)\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eReturn on investment\u003c\/b\u003e (by region, by industry, amortization by use case)\u003c\/li\u003e\n\u003cli\u003eUse case \u003cb\u003einvestment priorities\u003c\/b\u003e (by region, by industry, change by use case)\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eImpact of IoT implementation\u003c\/b\u003e on company KPIs (e.g., Overall equipment efficiency, revenue, quality)\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eChallenges faced \u003c\/b\u003ewhen implementing IoT use cases\u003c\/li\u003e\n\u003cli\u003eMethods of ensuring a \u003cb\u003eskilled workforce\u003c\/b\u003e\n\u003c\/li\u003e\n\u003cli\u003eImpact of IoT strategy on company’s \u003cb\u003esustainability goals\u003c\/b\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eKey vendors for IoT use cases\u003c\/b\u003e and \u003cb\u003evendor satisfaction\u003c\/b\u003e with deep dives on strengths and weaknesses of most used vendors and most used vendors by tech stack\u003c\/li\u003e\n\u003cli\u003eDetailed \u003cb\u003ecase studies for every use case\u003c\/b\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eDeep dives\u003c\/b\u003e for each of the 27 use cases (adoption, spending, ROI, planned investment, impact on company KPIs)\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eA detailed overview if all included analyses can be found in the Table of contents below\u003c\/p\u003e\u003cp\u003eOur insights are trusted by global industry leaders\u003c\/p\u003e\u003cfigure\u003e\u003cspan class=\"et_pb_image_wrap \"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/abb_logo_grey_150x74_v2.png\" alt=\"abb_logo_grey\" title=\"abb_logo_grey_150x74_v2\" class=\"wp-image-121421 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/abb_logo_grey_150x74_v2.png\" data-ll-status=\"loaded\" style=\"margin: 0px; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; background: transparent; position: relative;\"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/samsung_logo_grey_150x74.png\" alt=\"samsung_logo_grey\" title=\"samsung_logo_grey_150x74\" class=\"wp-image-121416 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/samsung_logo_grey_150x74.png\" data-ll-status=\"loaded\" style=\"background: transparent; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; position: relative; margin: 0px;\"\u003e\u003c\/span\u003e\u003c\/figure\u003e\u003cfigure\u003e\u003cspan class=\"et_pb_image_wrap \"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/Microsoft_logo_grey_150x74.png\" alt=\"Microsoft_logo_grey\" title=\"Microsoft_logo_grey_150x74\" class=\"wp-image-121422 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/Microsoft_logo_grey_150x74.png\" data-ll-status=\"loaded\" style=\"margin: 0px; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; background: transparent; position: relative;\"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2021\/03\/logo-sony.png\" alt=\"logo-sony\" title=\"logo-sony\" class=\"wp-image-139261 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2021\/03\/logo-sony.png\" data-ll-status=\"loaded\" style=\"background: transparent; margin: 0px; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; position: relative;\"\u003e\u003c\/span\u003e\u003c\/figure\u003e\u003cp\u003e\u003cspan class=\"et_pb_image_wrap \"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2020\/05\/Siemens-logo.png\" alt=\"Siemens logo\" title=\"Siemens logo\" class=\"wp-image-135837 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2020\/05\/Siemens-logo.png\" data-ll-status=\"loaded\" style=\"margin: 0px; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; background: transparent; position: relative;\"\u003e\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e","brand":"IOT Analytics","offers":[{"title":"Single User License","offer_id":50506422976582,"sku":"IOTANALYTICS18","price":487500.0,"currency_code":"INR","in_stock":true},{"title":"Team User License","offer_id":50506423009350,"sku":"IOTANALYTICS18-2","price":585000.0,"currency_code":"INR","in_stock":true},{"title":"Enterprise Premium License","offer_id":50506423042118,"sku":"IOTANALYTICS18-3","price":780000.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0754\/2797\/1142\/files\/iot-use-case-adoption-report-2024.png?v=1791613205"},{"product_id":"iot-enterprise-projects-adoption-report-2024","title":"IoT Enterprise Projects Adoption Report 2024","description":"\u003cp\u003e\u003cspan style=\"color: rgb(34, 34, 34); font-size: 24px; font-weight: 700;\"\u003eAbout the report\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003eThe \u003cb\u003eIoT Enterprise Project Adoption Report 2024\u003c\/b\u003e is part of IoT Analytics’ ongoing coverage of \u003cb\u003e\u003ca href=\"https:\/\/iot-analytics.com\/our-coverage\/general-iot\/\" target=\"_blank\" rel=\"noopener\"\u003egeneral IoT\u003c\/a\u003e\u003c\/b\u003e topics. The information presented in this report is based on an extensive survey of decision makers in manufacturing and other sectors such as energy and buildings. Its purpose is to inform other market participants about the current state of implementation of IoT initiatives in the enterprise sector and the approach they are following. Survey participants were selected randomly, and their knowledge was verified independently. To ensure complete objectivity, IoT Analytics did not alter or supplement any survey results and did not accept participants that were suggested by third parties (e.g., customers from specific vendors).\u003c\/p\u003e\u003cp\u003eLeveraging a comprehensive \u003cb\u003esurvey encompassing end users of IoT solutions\u003c\/b\u003e, this report delves into the strategic decision-making processes pertaining to IoT enterprise business adoption. It offers an \u003cb\u003ein depth analysis of implemented use cases, return on investment (ROI), challenges encountered, and learnings\u003c\/b\u003e. The report provides \u003cb\u003einsights for over 40 use cases\u003c\/b\u003e, providing a better understanding of the decisions between buying, building, or combining both approaches for IoT solutions. A \u003cb\u003edeep dive of purchasing off-the-shelf solutions\u003c\/b\u003e is also included. The data represents \u003cb\u003eperspectives from over 15 countries across North America, Europe, and the Asia-Pacific region\u003c\/b\u003e. Each participant contributed to the depth of this report by answering more than 30 targeted questions about their IoT initiatives, ensuring a robust foundation for market research in the IoT enterprise domain.\u003c\/p\u003e\u003ch3\u003eQuestions answered\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eHow successful are enterprise IoT initiatives? Which ones are more successful?\u003c\/li\u003e\n\u003cli\u003eWhat is the ROI of such IoT implementations? Have they already reached break-even?\u003c\/li\u003e\n\u003cli\u003eWhat is the dominant approach to implement IoT initiatives? Build, buy-and-build, or buy?\u003c\/li\u003e\n\u003cli\u003eHow are decisions for a specific approach made? What are the most important considerations?\u003c\/li\u003e\n\u003cli\u003eHow do the three approaches vary by industry, region, use case group, and company size?\u003c\/li\u003e\n\u003cli\u003eWhat people and organizational challenges had to be overcome during the IoT implementation?\u003c\/li\u003e\n\u003cli\u003eHow important is it to involve key organizational groups in the process of implementing the initiative?\u003c\/li\u003e\n\u003cli\u003eWhat are some of the key learnings that organizations have taken from implementing such initiatives?\u003c\/li\u003e\n\u003cli\u003eWhich use cases are implemented with each buy vs. build approach?\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eOur insights are trusted by global industry leaders\u003c\/p\u003e\u003cfigure\u003e\u003cspan class=\"et_pb_image_wrap \"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/abb_logo_grey_150x74_v2.png\" alt=\"abb_logo_grey\" title=\"abb_logo_grey_150x74_v2\" class=\"wp-image-121421 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/abb_logo_grey_150x74_v2.png\" data-ll-status=\"loaded\" style=\"margin: 0px; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; background: transparent; position: relative;\"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/samsung_logo_grey_150x74.png\" alt=\"samsung_logo_grey\" title=\"samsung_logo_grey_150x74\" class=\"wp-image-121416 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/samsung_logo_grey_150x74.png\" data-ll-status=\"loaded\" style=\"background: transparent; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; position: relative; margin: 0px;\"\u003e\u003c\/span\u003e\u003c\/figure\u003e\u003cfigure\u003e\u003cspan class=\"et_pb_image_wrap \"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/Microsoft_logo_grey_150x74.png\" alt=\"Microsoft_logo_grey\" title=\"Microsoft_logo_grey_150x74\" class=\"wp-image-121422 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/Microsoft_logo_grey_150x74.png\" data-ll-status=\"loaded\" style=\"margin: 0px; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; background: transparent; position: relative;\"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2021\/03\/logo-sony.png\" alt=\"logo-sony\" title=\"logo-sony\" class=\"wp-image-139261 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2021\/03\/logo-sony.png\" data-ll-status=\"loaded\" style=\"background: transparent; margin: 0px; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; position: relative;\"\u003e\u003c\/span\u003e\u003c\/figure\u003e\u003cp\u003e\u003cspan class=\"et_pb_image_wrap \"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2020\/05\/Siemens-logo.png\" alt=\"Siemens logo\" title=\"Siemens logo\" class=\"wp-image-135837 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2020\/05\/Siemens-logo.png\" data-ll-status=\"loaded\" style=\"margin: 0px; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; background: transparent; position: relative;\"\u003e\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e","brand":"IOT Analytics","offers":[{"title":"Single User License","offer_id":50506424778822,"sku":"IOTANALYTICS19","price":195000.0,"currency_code":"INR","in_stock":true},{"title":"Team User License","offer_id":50506424811590,"sku":"IOTANALYTICS19-2","price":243750.0,"currency_code":"INR","in_stock":true},{"title":"Enterprise Premium License","offer_id":50506424844358,"sku":"IOTANALYTICS19-3","price":390000.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0754\/2797\/1142\/files\/iot-enterprise-projects-adoption-report-2024.png?v=1791613112"},{"product_id":"iot-software-go-to-market-and-commercialization-report-2023","title":"IoT Software Go-to-Market \u0026 Commercialization Report 2023","description":"\u003cp\u003e\u003cspan style=\"color: rgb(34, 34, 34); font-size: 24px; font-weight: 700;\"\u003eQuestions answered\u003c\/span\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eWhat are the biggest pain points for IoT software development teams?\u003c\/li\u003e\n\u003cli\u003eHow often are new IoT software features released?\u003c\/li\u003e\n\u003cli\u003eHow do IoT vendors expect their revenue to change in the coming years?\u003c\/li\u003e\n\u003cli\u003eHow are IoT vendors expecting to change their prices in the next two years?\u003c\/li\u003e\n\u003cli\u003eWhat is the preferred go-to-market strategy of IoT vendors (a. pricing, b. billing, and c. distribution channels)?\u003c\/li\u003e\n\u003cli\u003eWhat are the most important factors for driving IoT customer adoption?\u003c\/li\u003e\n\u003cli\u003eWhich customer segments (regions\/industries\/company sizes) are the quickest adopters of IoT software?\u003c\/li\u003e\n\u003cli\u003eWhat are the biggest concerns that the customers have when adopting new IoT software?\u003c\/li\u003e\n\u003cli\u003eWhich marketing channels have had the most success for IoT vendors in the last two years?\u003c\/li\u003e\n\u003cli\u003eWhat are the main reasons for users not prolonging their subscriptions?\u003c\/li\u003e\n\u003cli\u003eWhich KPIs are vendors using to measure the success of their IoT software?\u003c\/li\u003e\n\u003cli\u003eWhich current IoT software and applications trends do companies foresee?\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eTable of Contents\u003c\/p\u003e\u003cul\u003e\u003cli\u003e\n\u003cb\u003eIoT Software Go-to-Market \u0026amp; Commercialization Report 2023 (PDF)\u003c\/b\u003e\u003cul\u003e\n\u003cli\u003eExecutive summary and survey highlights\u003c\/li\u003e\n\u003cli\u003e2. Introduction\u003c\/li\u003e\n\u003cli\u003e3. Software development\u003c\/li\u003e\n\u003cli\u003e4. Go-to-market strategy\u003c\/li\u003e\n\u003cli\u003e5. Software commercialization\u003c\/li\u003e\n\u003cli\u003e6 Trends\u003c\/li\u003e\n\u003cli\u003e7. End user vs. vendor perceptions\u003c\/li\u003e\n\u003cli\u003e8. Different types of software: IoT software\u003c\/li\u003e\n\u003cli\u003e8. Different types of software: IT software\u003c\/li\u003e\n\u003cli\u003e8. Different types of software: Mfg.\/eng.\/OT software\u003c\/li\u003e\n\u003cli\u003eAppendix\u003c\/li\u003e\n\u003cli\u003eMethodology\u003c\/li\u003e\n\u003cli\u003eAbout IoT Analytics\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\u003c\/ul\u003e\u003cp\u003eCompanies mentioned\u003c\/p\u003e\u003cp\u003eCognite  HiveMQ   Inductive Automation   Microsoft   MongoDB   Oracle   PTC   Palo Alto Networks    Red Hat   Schneider Electric  Siemens   Software AG\u003c\/p\u003e\u003ch3\u003eAbout the report\u003c\/h3\u003e\u003cp\u003eThe \u003cb\u003eIoT Software Go-to-Market \u0026amp; Commercialization Report 2023\u003c\/b\u003e is part of IoT Analytics’ ongoing coverage of \u003ca href=\"https:\/\/iot-analytics.com\/our-coverage\/iot-platforms-software\/\" target=\"_blank\" rel=\"noopener\"\u003e\u003cb\u003eIoT software and platforms\u003c\/b\u003e\u003c\/a\u003e. The information presented in this report is based on an extensive survey of IoT software vendors. The purpose is to inform other market participants about the go-to-market market strategy of vendors regarding IoT and related software (e.g., other IT and OT\/industrial software). Survey participants were selected randomly, and their knowledge was verified independently. To ensure complete objectivity, IoT Analytics did not alter or supplement any survey results and did not accept participants who were suggested by third parties. The IoT Analytics team added a number of examples to make some of the survey results more “real” for the reader (e.g., Pricing examples and Examples of successful marketing campaigns).\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eOur insights are trusted by global industry leaders\u003c\/strong\u003e\u003c\/p\u003e\u003cfigure\u003e\u003cspan class=\"et_pb_image_wrap \"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/abb_logo_grey_150x74_v2.png\" alt=\"abb_logo_grey\" title=\"abb_logo_grey_150x74_v2\" class=\"wp-image-121421 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/abb_logo_grey_150x74_v2.png\" data-ll-status=\"loaded\" style=\"padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; background: transparent; position: relative; margin: 0px;\"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/samsung_logo_grey_150x74.png\" alt=\"samsung_logo_grey\" title=\"samsung_logo_grey_150x74\" class=\"wp-image-121416 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/samsung_logo_grey_150x74.png\" data-ll-status=\"loaded\" style=\"background: transparent; margin: 0px; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; position: relative;\"\u003e\u003c\/span\u003e\u003c\/figure\u003e\u003cfigure\u003e\u003cspan class=\"et_pb_image_wrap \"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/Microsoft_logo_grey_150x74.png\" alt=\"Microsoft_logo_grey\" title=\"Microsoft_logo_grey_150x74\" class=\"wp-image-121422 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/Microsoft_logo_grey_150x74.png\" data-ll-status=\"loaded\" style=\"margin: 0px; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; background: transparent; position: relative;\"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2021\/03\/logo-sony.png\" alt=\"logo-sony\" title=\"logo-sony\" class=\"wp-image-139261 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2021\/03\/logo-sony.png\" data-ll-status=\"loaded\" style=\"background: transparent; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; position: relative; margin: 0px;\"\u003e\u003c\/span\u003e\u003c\/figure\u003e\u003cp\u003e\u003cspan class=\"et_pb_image_wrap \"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2020\/05\/Siemens-logo.png\" alt=\"Siemens logo\" title=\"Siemens logo\" class=\"wp-image-135837 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2020\/05\/Siemens-logo.png\" data-ll-status=\"loaded\" style=\"margin: 0px; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; background: transparent; position: relative;\"\u003e\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e","brand":"IOT Analytics","offers":[{"title":"Single User License","offer_id":50506426941510,"sku":"IOTANALYTICS20","price":292500.0,"currency_code":"INR","in_stock":true},{"title":"Team User License","offer_id":50689512112198,"sku":"IOTANALYTICS20-2","price":390000.0,"currency_code":"INR","in_stock":true},{"title":"Enterprise Premium License","offer_id":50689512144966,"sku":"IOTANALYTICS20-3","price":585000.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0754\/2797\/1142\/files\/iot-software-go-to-market-and-commercialization-report-2023.png?v=1791613158"},{"product_id":"global-cloud-projects-report-and-database-2023","title":"Global Cloud Projects Report and Database 2023","description":"\u003cp\u003e\u003cspan style=\"color: rgb(34, 34, 34); font-size: 24px; font-weight: 700;\"\u003eAbout the database\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003eThe \u003cb\u003eGlobal Cloud Projects Report and Database 2023\u003c\/b\u003e is part of IoT Analytics’ ongoing coverage of \u003ca href=\"https:\/\/iot-analytics.com\/our-coverage\/iot-platforms-software\/\" target=\"_blank\" rel=\"noopener\"\u003eIoT platforms and software\u003c\/a\u003e. The information presented in this report is based on a database of 7,000 global cloud projects by the five leading hyperscalers. All data are based on public information that is available in the websites of the respective cloud vendors (Microsoft, AWS, Google, Oracle, and Alibaba). The data of the cloud projects were last updated on May 2023. The document includes definitions for (IoT) cloud computing, example projects, analysis of the collected 7,000 projects by region\/industry\/customer size, and how often each cloud product appears in the case studies.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eThe main purpose of this document is to provide our readers with insights regarding the cloud computing landscape and the position of each of the five vendors within it.\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cspan style=\"color: rgb(34, 34, 34); font-size: 21px; font-weight: 700;\"\u003eTable of Contents\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eGlobal Cloud Projects Report 2023 (PDF)\u003c\/b\u003e\u003c\/p\u003e\u003col\u003e\n\u003cli\u003eExecutive Summary\u003c\/li\u003e\n\u003cli\u003eIntroduction\u003c\/li\u003e\n\u003cli\u003eAbout the report\u003c\/li\u003e\n\u003cli\u003eCloud vendor comparison\u003c\/li\u003e\n\u003cli\u003eCloud products\/services comparison\u003c\/li\u003e\n\u003cli\u003eDeep dive: IoT\u003c\/li\u003e\n\u003cli\u003eDeep dive: Vendors\u003c\/li\u003e\n\u003cli\u003eAppendix\u003c\/li\u003e\n\u003c\/ol\u003e\u003cp\u003e\u003cb\u003eA detailed Table of Contents is available in the sample. \u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003e\u003c\/b\u003e\u003cspan style=\"color: rgb(34, 34, 34); font-size: 24px; font-weight: 700;\"\u003eQuestions answered\u003c\/span\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eHow do AWS, Microsoft, Google, Oracle, and Alibaba compare by \u003cb\u003ecountry\/region\/industry\/customer size?\u003c\/b\u003e\n\u003c\/li\u003e\n\u003cli\u003eWho are some of the\u003cb\u003e key clients \u003c\/b\u003efor each hyperscaler by industry\u003cb\u003e?\u003c\/b\u003e\n\u003c\/li\u003e\n\u003cli\u003eWhich \u003cb\u003ecloud services \u003c\/b\u003eare most often used?\u003c\/li\u003e\n\u003cli\u003eHow many \u003cb\u003eIoT projects \u003c\/b\u003eis each vendor highlighting?\u003c\/li\u003e\n\u003cli\u003eIn which \u003cb\u003eindustries\u003c\/b\u003e are \u003cb\u003eIoT projects \u003c\/b\u003emost prominent?\u003c\/li\u003e\n\u003cli\u003eWhich \u003cb\u003ecloud products\u003c\/b\u003e complement (i.e., appear most often) the \u003cb\u003eIoT projects\u003c\/b\u003e?\u003c\/li\u003e\n\u003cli\u003eWhich \u003cb\u003edepartments \u003c\/b\u003eare benefitting the most from the \u003cb\u003eIoT projects\u003c\/b\u003e?\u003c\/li\u003e\n\u003cli\u003eWhich \u003cb\u003eimprovement levers \u003c\/b\u003edo \u003cb\u003eIoT projects \u003c\/b\u003eaddress?\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cb\u003e\u003c\/b\u003e\u003cspan style=\"color: rgb(34, 34, 34); font-size: 24px; font-weight: 700;\"\u003eCompanies mentioned\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003e\u003c\/b\u003eAlibaba   AWS  Google Microsoft  Oracle\u003c\/p\u003e\u003cp\u003e\u003cb\u003e\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eOur insights are trusted by global industry leaders\u003c\/strong\u003e\u003c\/p\u003e\u003cfigure\u003e\u003cspan class=\"et_pb_image_wrap \"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/abb_logo_grey_150x74_v2.png\" alt=\"abb_logo_grey\" title=\"abb_logo_grey_150x74_v2\" class=\"wp-image-121421 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/abb_logo_grey_150x74_v2.png\" data-ll-status=\"loaded\" style=\"margin: 0px; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; background: transparent; position: relative;\"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/samsung_logo_grey_150x74.png\" alt=\"samsung_logo_grey\" title=\"samsung_logo_grey_150x74\" class=\"wp-image-121416 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/samsung_logo_grey_150x74.png\" data-ll-status=\"loaded\" style=\"background: transparent; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; position: relative; margin: 0px;\"\u003e\u003c\/span\u003e\u003c\/figure\u003e\u003cfigure\u003e\u003cspan class=\"et_pb_image_wrap \"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/qualcomm_logo_grey_150x74.png\" alt=\"qualcomm_logo_grey\" title=\"qualcomm_logo_grey_150x74\" class=\"wp-image-121414 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/qualcomm_logo_grey_150x74.png\" data-ll-status=\"loaded\" style=\"margin: 0px; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; background: transparent; position: relative;\"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2021\/03\/logo-sony.png\" alt=\"logo-sony\" title=\"logo-sony\" class=\"wp-image-139261 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2021\/03\/logo-sony.png\" data-ll-status=\"loaded\" style=\"background: transparent; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; position: relative; margin: 0px;\"\u003e\u003c\/span\u003e\u003c\/figure\u003e\u003cp\u003e\u003cspan class=\"et_pb_image_wrap \"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2020\/05\/Siemens-logo.png\" alt=\"Siemens logo\" title=\"Siemens logo\" class=\"wp-image-135837 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2020\/05\/Siemens-logo.png\" data-ll-status=\"loaded\" style=\"margin: 0px; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; background: transparent; position: relative;\"\u003e\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003e\u003c\/b\u003e\u003c\/p\u003e","brand":"IOT Analytics","offers":[{"title":"Single User License","offer_id":50506427727942,"sku":"IOTANALYTICS21","price":97500.0,"currency_code":"INR","in_stock":true},{"title":"Team User License","offer_id":50506427760710,"sku":"IOTANALYTICS21-2","price":175500.0,"currency_code":"INR","in_stock":true},{"title":"Enterprise Premium License","offer_id":50506427793478,"sku":"IOTANALYTICS21-3","price":351000.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0754\/2797\/1142\/files\/global-cloud-projects-report-and-database-2023.png?v=1791613008"},{"product_id":"digital-supply-chain-market-report-20222027","title":"Digital Supply Chain Market Report 2022–2027","description":"\u003cp\u003e\u003cspan style=\"color: rgb(34, 34, 34); font-size: 24px; font-weight: 700;\"\u003eQuestions answered\u003c\/span\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eWhat is supply chain management (i.e., supply chain operational activities)?\u003c\/li\u003e\n\u003cli\u003eWhich technologies are used for supply chain management (including software, hardware, and connectivity)?\u003c\/li\u003e\n\u003cli\u003eHow big is the supply chain technology market and how is it expected to evolve (by region and technology)?\u003c\/li\u003e\n\u003cli\u003eWho are the leading supply chain technology vendors and what is their market share in each technology?\u003c\/li\u003e\n\u003cli\u003eHow can companies assess their supply chain digitization maturity ?\u003c\/li\u003e\n\u003cli\u003eWhat are the upcoming supply chain technology innovations?\u003c\/li\u003e\n\u003cli\u003eWhat are key digital supply chain implementation examples and case studies?\u003c\/li\u003e\n\u003cli\u003eWhat are the main supply chain trends?\u003c\/li\u003e\n\u003cli\u003eWhat are the main supply chain challenges?\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eCompanies mentioned\u003c\/h3\u003e\u003cp\u003e\u003cstrong\u003eA selection of companies mentioned in the report.\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eAutoStore   BlueYonder   China Mobile   Dematic   Oracle  Orbcomm  ServiceMax  ServiceNow  Vodafone  SAP\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003ch3\u003eAbout the report\u003c\/h3\u003e\u003cp\u003e\u003cb\u003eThis document represents the Digital Supply Chain Market Report 2022–2027 and is part of IoT Analytics’ ongoing coverage of industrial and non-industrial IoT applications.\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eThe information presented in this report is based on the results of multiple surveys, secondary research, and qualitative research, i.e., interviews with software, hardware and connectivity vendors and end-users from April 2022 to December 2022.\u003c\/p\u003e\u003cp\u003eThe document includes details such as definitions, market segmentation, market projections, estimated market share of key vendors, analysis of macro factors influencing the market, digital supply chain implementation examples plus case studies and key trends \u0026amp; challenges.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eThe main purpose of this document is to help our readers understand the current supply chain software, hardware, and connectivity landscape by defining, sizing, and analyzing the market.\u003c\/b\u003e\u003c\/p\u003e\u003ch3\u003eOur insights are trusted by global industry leaders\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cfigure\u003e\u003cspan class=\"et_pb_image_wrap \"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/abb_logo_grey_150x74_v2.png\" alt=\"abb_logo_grey\" title=\"abb_logo_grey_150x74_v2\" class=\"wp-image-121421 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/abb_logo_grey_150x74_v2.png\" data-ll-status=\"loaded\" style=\"margin: 0px; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; background: transparent; position: relative;\"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/samsung_logo_grey_150x74.png\" alt=\"samsung_logo_grey\" title=\"samsung_logo_grey_150x74\" class=\"wp-image-121416 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/samsung_logo_grey_150x74.png\" data-ll-status=\"loaded\" style=\"background: transparent; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; position: relative; margin: 0px;\"\u003e\u003c\/span\u003e\u003c\/figure\u003e\u003cfigure\u003e\u003cspan class=\"et_pb_image_wrap \"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/Microsoft_logo_grey_150x74.png\" alt=\"Microsoft_logo_grey\" title=\"Microsoft_logo_grey_150x74\" class=\"wp-image-121422 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/Microsoft_logo_grey_150x74.png\" data-ll-status=\"loaded\" style=\"margin: 0px; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; background: transparent; position: relative;\"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2021\/03\/logo-sony.png\" alt=\"logo-sony\" title=\"logo-sony\" class=\"wp-image-139261 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2021\/03\/logo-sony.png\" data-ll-status=\"loaded\" style=\"background: transparent; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; position: relative; margin: 0px;\"\u003e\u003c\/span\u003e\u003c\/figure\u003e\u003cp\u003e\u003cspan class=\"et_pb_image_wrap \"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2020\/05\/Siemens-logo.png\" alt=\"Siemens logo\" title=\"Siemens logo\" class=\"wp-image-135837 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2020\/05\/Siemens-logo.png\" data-ll-status=\"loaded\" style=\"margin: 0px; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; background: transparent; position: relative;\"\u003e\u003c\/span\u003e\u003c\/p\u003e","brand":"IOT Analytics","offers":[{"title":"Single User License","offer_id":50506428612678,"sku":"IOTANALYTICS22","price":487500.0,"currency_code":"INR","in_stock":true},{"title":"Team User License","offer_id":50506428645446,"sku":"IOTANALYTICS22-2","price":585000.0,"currency_code":"INR","in_stock":true},{"title":"Enterprise Premium License","offer_id":50506428678214,"sku":"IOTANALYTICS22-3","price":780000.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0754\/2797\/1142\/files\/digital-supply-chain-market-report-20222027.png?v=1791612963"},{"product_id":"commercial-drones-market-2019-2024","title":"Commercial Drones Market 2019-2024","description":"\u003cp\u003eComprehensive 322-page industry report detailing the\u003cb\u003e $43B Commercial Drones market\u003c\/b\u003e including:\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cb\u003eMarket forecast 2019 to 2024\u003c\/b\u003e across 6 regions and 62 countries\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eVertical breakdown \u003c\/b\u003eacross 15 industry sectors\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eRevenue breakdown\u003c\/b\u003e for hardware, software, and services\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003e30 Examples of real world use cases\u003c\/b\u003e enabled by commercial drones\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eDatabase of 730+ UAV\/Drone Applications\u003c\/b\u003e in the market\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003e36 Data tables\u003c\/b\u003e from the market model\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003e1,000 drone companies\u003c\/b\u003e in a market environment map analysis\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003e5 main industry trends \u0026amp; future market perspectives\u003c\/b\u003e analysis\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003eAnd much more\u003c\/b\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eDescription\u003c\/h2\u003e\u003ch3\u003eCommercial Drones Market 2019-2024\u003c\/h3\u003e\u003cp\u003e\u003cb\u003eThe Commercial Drones market is accelerating in 2019\u003c\/b\u003e as ongoing investment and market consolidation continues.\u003c\/p\u003e\u003cp\u003eSpending on Drone-related hardware, software and services for both commercial and private markets is forecast to \u003cb\u003egrow at a rate of 20.5\u0026gt;#\/b### per year becoming a \u003cb\u003e$43B opportunity by 2024\u003c\/b\u003e.\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eDrones have evolved from basic hobbyist toys to complex IoT devices. As more and more \u003cb\u003eadvanced IoT technology is being integrated into drones\u003c\/b\u003e it is possible to have drones constantly connected and streaming data in real-time for instant analysis and decision making.\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eFurthermore, \u003cb\u003e5G technology is expected to be a key driver\u003c\/b\u003e for the drone market in the coming years with the main benefits being able to react to commands in real-time and enabling instant insights from the drones’ measurements in real-time due to the technology’s high data rate and low latency.\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eThis comprehensive report examines the commercial drone market in detail including \u003cb\u003e166 market graphs, 41 tables, and 12 charts as well as 36 data tables\u003c\/b\u003e from the market model.\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eRead the corresponding press release \u003ca href=\"https:\/\/iot-analytics.com\/commercial-drones-market-to-become-a-$43b-opportunity-by-2024\" target=\"_blank\" rel=\"noopener noreferrer\"\u003ehere\u003c\/a\u003e.\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003e\u003c\/b\u003e\u003cspan style=\"color: rgb(34, 34, 34); font-size: 24px; font-weight: 700;\"\u003eFind out:\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003e\u003c\/b\u003e\u003c\/p\u003e\u003cb\u003e\u003cul\u003e\n\u003cli\u003eHow big the drone market is currently and how fast the market is growing\u003c\/li\u003e\n\u003cli\u003eHow the drone market spending is developing across 6 regions and 62 countries\u003c\/li\u003e\n\u003cli\u003eHow the drone market spending is developing in 15 industry sectors(e.g. including including Agriculture; Arts, Entertainment, and Recreation; Construction; Educational Services; Energy (Utilities); Health Care and Social Assistance; Information; Insurance; Mining, Quarrying, and Oil and Gas Extraction; Professional, Scientific, and Technical Services; Public Administration; Real Estate, Rental \u0026amp; Leasing, and Industrial Plants; Safety \u0026amp; Security; Transportation and Warehousing; Waste Management and Remediation Services)\u003c\/li\u003e\n\u003cli\u003eHow the market spending is split between Hardware, Software, and Services\u003c\/li\u003e\n\u003cli\u003eHow Drone solutions are being implemented today in 15 different industries environments (plus a list of 730+ real drone projects)\u003c\/li\u003e\n\u003cli\u003eWhich companies are leading the drone market\u003c\/li\u003e\n\u003cli\u003eWhat the current main trends are affecting the drone market\u003c\/li\u003e\n\u003cli\u003eThe main barriers to adoption and much more …\u003c\/li\u003e\n\u003c\/ul\u003e\u003c\/b\u003e\u003cp\u003e\u003cb\u003e\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003e\u003c\/b\u003e\u003cspan style=\"color: rgb(34, 34, 34); font-size: 24px; font-weight: 700;\"\u003eAt a glance:\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003eDrone capabilities have rapidly expanded beyond consumer products, adding on-board intelligence for real-time remote control, video streaming, environment sensing capabilities and automatic self-landing.\u003c\/p\u003e\u003cp\u003eModern drones have nowadays become more sophisticated “IoT devices” that are constantly connected (via RF or 4G) and as such are able to cover a large number of IoT applications such as mapping, surveying, inspection, monitoring, photography \u0026amp; filming, and delivery of goods.\u003c\/p\u003e\u003cp\u003e\u003ca href=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2019\/06\/Commercial-Drone-Market-Report-2019-2024-Drone-hardware-min.png\" class=\"et_pb_lightbox_image\"\u003e\u003cspan class=\"et_pb_image_wrap \"\u003e\u003cimg decoding=\"async\" width=\"3000\" height=\"1688\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2019\/06\/Commercial-Drone-Market-Report-2019-2024-Drone-hardware-min.png\" title=\"IoT-Analytics-Global-LPWAN-Market-2020-2025\" data-lazy-srcset=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2019\/06\/Commercial-Drone-Market-Report-2019-2024-Drone-hardware-min.png 3000w, https:\/\/iot-analytics.com\/wp-content\/uploads\/2019\/06\/Commercial-Drone-Market-Report-2019-2024-Drone-hardware-min-1280x720.png 1280w, https:\/\/iot-analytics.com\/wp-content\/uploads\/2019\/06\/Commercial-Drone-Market-Report-2019-2024-Drone-hardware-min-980x551.png 980w, https:\/\/iot-analytics.com\/wp-content\/uploads\/2019\/06\/Commercial-Drone-Market-Report-2019-2024-Drone-hardware-min-480x270.png 480w\" data-lazy-sizes=\"(min-width: 0px) and (max-width: 480px) 480px, (min-width: 481px) and (max-width: 980px) 980px, (min-width: 981px) and (max-width: 1280px) 1280px, (min-width: 1281px) 3000px, 100vw\" class=\"wp-image-130754 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2019\/06\/Commercial-Drone-Market-Report-2019-2024-Drone-hardware-min.png\" data-ll-status=\"loaded\" sizes=\"(min-width: 0px) and (max-width: 480px) 480px, (min-width: 481px) and (max-width: 980px) 980px, (min-width: 981px) and (max-width: 1280px) 1280px, (min-width: 1281px) 3000px, 100vw\" srcset=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2019\/06\/Commercial-Drone-Market-Report-2019-2024-Drone-hardware-min.png 3000w, https:\/\/iot-analytics.com\/wp-content\/uploads\/2019\/06\/Commercial-Drone-Market-Report-2019-2024-Drone-hardware-min-1280x720.png 1280w, https:\/\/iot-analytics.com\/wp-content\/uploads\/2019\/06\/Commercial-Drone-Market-Report-2019-2024-Drone-hardware-min-980x551.png 980w, https:\/\/iot-analytics.com\/wp-content\/uploads\/2019\/06\/Commercial-Drone-Market-Report-2019-2024-Drone-hardware-min-480x270.png 480w\" style=\"margin: 0px; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; background: transparent; position: relative;\"\u003e\u003c\/span\u003e\u003c\/a\u003e\u003c\/p\u003e\u003cp\u003eThe Commercial Drones market report forecasts a compound annual growth rate (CAGR) of 20.5% over the time frame of 2019-2024, with annual spending surpassing US$43.1 Billion by 2024.\u003c\/p\u003e\u003cp\u003e\u003ca href=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2019\/06\/Commercial-Drone-Market-Report-2019-2024-Drone-market-min.png\" class=\"et_pb_lightbox_image\"\u003e\u003cspan class=\"et_pb_image_wrap \"\u003e\u003cimg decoding=\"async\" width=\"3000\" height=\"1688\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2019\/06\/Commercial-Drone-Market-Report-2019-2024-Drone-market-min.png\" title=\"IoT-Analytics-Global-LPWAN-Market-2020-2025\" data-lazy-srcset=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2019\/06\/Commercial-Drone-Market-Report-2019-2024-Drone-market-min.png 3000w, https:\/\/iot-analytics.com\/wp-content\/uploads\/2019\/06\/Commercial-Drone-Market-Report-2019-2024-Drone-market-min-1280x720.png 1280w, https:\/\/iot-analytics.com\/wp-content\/uploads\/2019\/06\/Commercial-Drone-Market-Report-2019-2024-Drone-market-min-980x551.png 980w, https:\/\/iot-analytics.com\/wp-content\/uploads\/2019\/06\/Commercial-Drone-Market-Report-2019-2024-Drone-market-min-480x270.png 480w\" data-lazy-sizes=\"(min-width: 0px) and (max-width: 480px) 480px, (min-width: 481px) and (max-width: 980px) 980px, (min-width: 981px) and (max-width: 1280px) 1280px, (min-width: 1281px) 3000px, 100vw\" class=\"wp-image-130753 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2019\/06\/Commercial-Drone-Market-Report-2019-2024-Drone-market-min.png\" data-ll-status=\"loaded\" sizes=\"(min-width: 0px) and (max-width: 480px) 480px, (min-width: 481px) and (max-width: 980px) 980px, (min-width: 981px) and (max-width: 1280px) 1280px, (min-width: 1281px) 3000px, 100vw\" srcset=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2019\/06\/Commercial-Drone-Market-Report-2019-2024-Drone-market-min.png 3000w, https:\/\/iot-analytics.com\/wp-content\/uploads\/2019\/06\/Commercial-Drone-Market-Report-2019-2024-Drone-market-min-1280x720.png 1280w, https:\/\/iot-analytics.com\/wp-content\/uploads\/2019\/06\/Commercial-Drone-Market-Report-2019-2024-Drone-market-min-980x551.png 980w, https:\/\/iot-analytics.com\/wp-content\/uploads\/2019\/06\/Commercial-Drone-Market-Report-2019-2024-Drone-market-min-480x270.png 480w\" style=\"margin: 0px; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; background: transparent; position: relative;\"\u003e\u003c\/span\u003e\u003c\/a\u003e\u003c\/p\u003e\u003cp\u003eRegulations play an integral role in the drone market and they differ greatly from country to country, as such the report provides in depth analysis of 20 countries approach to drone regulation across various parameters (see adjacent slide):\u003c\/p\u003e\u003cp\u003e\u003ca href=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2019\/06\/Commercial-Drone-Market-Report-2019-2024-Drone-regulations-min.png\" class=\"et_pb_lightbox_image\"\u003e\u003cspan class=\"et_pb_image_wrap \"\u003e\u003cimg decoding=\"async\" width=\"3000\" height=\"1688\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2019\/06\/Commercial-Drone-Market-Report-2019-2024-Drone-regulations-min.png\" title=\"IoT-Analytics-Global-LPWAN-Market-2020-2025\" data-lazy-srcset=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2019\/06\/Commercial-Drone-Market-Report-2019-2024-Drone-regulations-min.png 3000w, https:\/\/iot-analytics.com\/wp-content\/uploads\/2019\/06\/Commercial-Drone-Market-Report-2019-2024-Drone-regulations-min-1280x720.png 1280w, https:\/\/iot-analytics.com\/wp-content\/uploads\/2019\/06\/Commercial-Drone-Market-Report-2019-2024-Drone-regulations-min-980x551.png 980w, https:\/\/iot-analytics.com\/wp-content\/uploads\/2019\/06\/Commercial-Drone-Market-Report-2019-2024-Drone-regulations-min-480x270.png 480w\" data-lazy-sizes=\"(min-width: 0px) and (max-width: 480px) 480px, (min-width: 481px) and (max-width: 980px) 980px, (min-width: 981px) and (max-width: 1280px) 1280px, (min-width: 1281px) 3000px, 100vw\" class=\"wp-image-130752 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2019\/06\/Commercial-Drone-Market-Report-2019-2024-Drone-regulations-min.png\" data-ll-status=\"loaded\" sizes=\"(min-width: 0px) and (max-width: 480px) 480px, (min-width: 481px) and (max-width: 980px) 980px, (min-width: 981px) and (max-width: 1280px) 1280px, (min-width: 1281px) 3000px, 100vw\" srcset=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2019\/06\/Commercial-Drone-Market-Report-2019-2024-Drone-regulations-min.png 3000w, https:\/\/iot-analytics.com\/wp-content\/uploads\/2019\/06\/Commercial-Drone-Market-Report-2019-2024-Drone-regulations-min-1280x720.png 1280w, https:\/\/iot-analytics.com\/wp-content\/uploads\/2019\/06\/Commercial-Drone-Market-Report-2019-2024-Drone-regulations-min-980x551.png 980w, https:\/\/iot-analytics.com\/wp-content\/uploads\/2019\/06\/Commercial-Drone-Market-Report-2019-2024-Drone-regulations-min-480x270.png 480w\" style=\"margin: 0px; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; background: transparent; position: relative;\"\u003e\u003c\/span\u003e\u003c\/a\u003e\u003c\/p\u003e\u003cp\u003eThe report includes a detailed database and overview of 730+ drone applications across 15 industry verticals broken down by and analyzed by their manufacturers, industrial sectors, drone configurations, sensor types and many more parameters.\u003c\/p\u003e\u003cp\u003eThe report also includes an Drone ecosystem environment map with 1,000 companies and discusses future trends for the market for the next 10 years.\u003c\/p\u003e\u003cp\u003e\u003ca href=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2019\/06\/Commercial-Drone-Market-Report-2019-2024-Drone-applications-min.png\" class=\"et_pb_lightbox_image\"\u003e\u003cspan class=\"et_pb_image_wrap \"\u003e\u003cimg decoding=\"async\" width=\"3000\" height=\"1688\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2019\/06\/Commercial-Drone-Market-Report-2019-2024-Drone-applications-min.png\" title=\"IoT-Analytics-Global-LPWAN-Market-2020-2025\" data-lazy-srcset=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2019\/06\/Commercial-Drone-Market-Report-2019-2024-Drone-applications-min.png 3000w, https:\/\/iot-analytics.com\/wp-content\/uploads\/2019\/06\/Commercial-Drone-Market-Report-2019-2024-Drone-applications-min-1280x720.png 1280w, https:\/\/iot-analytics.com\/wp-content\/uploads\/2019\/06\/Commercial-Drone-Market-Report-2019-2024-Drone-applications-min-980x551.png 980w, https:\/\/iot-analytics.com\/wp-content\/uploads\/2019\/06\/Commercial-Drone-Market-Report-2019-2024-Drone-applications-min-480x270.png 480w\" data-lazy-sizes=\"(min-width: 0px) and (max-width: 480px) 480px, (min-width: 481px) and (max-width: 980px) 980px, (min-width: 981px) and (max-width: 1280px) 1280px, (min-width: 1281px) 3000px, 100vw\" class=\"wp-image-130751 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2019\/06\/Commercial-Drone-Market-Report-2019-2024-Drone-applications-min.png\" data-ll-status=\"loaded\" sizes=\"(min-width: 0px) and (max-width: 480px) 480px, (min-width: 481px) and (max-width: 980px) 980px, (min-width: 981px) and (max-width: 1280px) 1280px, (min-width: 1281px) 3000px, 100vw\" srcset=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2019\/06\/Commercial-Drone-Market-Report-2019-2024-Drone-applications-min.png 3000w, https:\/\/iot-analytics.com\/wp-content\/uploads\/2019\/06\/Commercial-Drone-Market-Report-2019-2024-Drone-applications-min-1280x720.png 1280w, https:\/\/iot-analytics.com\/wp-content\/uploads\/2019\/06\/Commercial-Drone-Market-Report-2019-2024-Drone-applications-min-980x551.png 980w, https:\/\/iot-analytics.com\/wp-content\/uploads\/2019\/06\/Commercial-Drone-Market-Report-2019-2024-Drone-applications-min-480x270.png 480w\" style=\"margin: 0px; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; background: transparent; position: relative;\"\u003e\u003c\/span\u003e\u003c\/a\u003e\u003c\/p\u003e\u003ch3\u003eQuestions answered in the market report:\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eWhat is the current size of the Commercial Drones market?\u003c\/li\u003e\n\u003cli\u003eHow fast is the Commercial Drones market growing?\u003c\/li\u003e\n\u003cli\u003eHow much will the Commercial Drones market be worth by 2024?\u003c\/li\u003e\n\u003cli\u003eWhich industries are fueling adoption of Commercial Drones?\u003c\/li\u003e\n\u003cli\u003eWhat is the Commercial Drones market size for hardware, software, and services?\u003c\/li\u003e\n\u003cli\u003eWhich regions and countries are driving growth of the Commercial Drones market?\u003c\/li\u003e\n\u003cli\u003eWhat are the most important customer applications?\u003c\/li\u003e\n\u003cli\u003eWhich are the main challenges and barriers to adoption of drone solutions?\u003c\/li\u003e\n\u003cli\u003eWhich use cases\/applications are enabled by Commercial Drones?\u003c\/li\u003e\n\u003cli\u003eWho are the top 10 players in the Commercial Drones market?\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eSelected companies from the market report:\u003c\/h3\u003e\u003cp\u003e3D Robotics, Autel Robotics, DJI, GoPro, Holy Stone, Intel, Kespry, Parrot, SenseFly, Yuneec, and more…\u003c\/p\u003e\u003cp\u003e\u003cb\u003e\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e","brand":"IOT Analytics","offers":[{"title":"Single User License","offer_id":50506429366342,"sku":"IOTANALYTICS23","price":292500.0,"currency_code":"INR","in_stock":true},{"title":"Team User License","offer_id":50689512210502,"sku":"IOTANALYTICS23-2","price":390000.0,"currency_code":"INR","in_stock":true},{"title":"Enterprise Premium License","offer_id":50689512243270,"sku":"IOTANALYTICS23-3","price":585000.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0754\/2797\/1142\/files\/commercial-drones-market-2019-2024.png?v=1791612764"},{"product_id":"iot-mobile-operator-pricing-and-market-report-2024-2030","title":"IoT Mobile Operator Pricing and Market Report 2024-2030","description":"\u003ch3\u003eQuestions answered\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eHow large is the \u003cb\u003emarket fo\u003c\/b\u003e\u003cb\u003er cellular IoT mobile operators \u003c\/b\u003e(MNOs and MVNOs) and how is it expected to grow until 2030?\u003c\/li\u003e\n\u003cli\u003eHow many \u003cb\u003ecellular IoT connections \u003c\/b\u003eare there and how are they distributed amongst various cellular IoT connectivity types?\u003c\/li\u003e\n\u003cli\u003eWhat does the \u003cb\u003ecompetitive landscape of MNOs and MVNOs \u003c\/b\u003efor IoT look like?\u003c\/li\u003e\n\u003cli\u003eHow do \u003cb\u003eIoT pricing plans \u003c\/b\u003efor 22 key operators differ by the type of operator and type of cellular IoT connectivity?\u003c\/li\u003e\n\u003cli\u003eWhat are the \u003cb\u003eaverage prices of cellular IoT connectivity \u003c\/b\u003efor different operators?\u003c\/li\u003e\n\u003cli\u003eWhat are the key differences in \u003cb\u003epricing models and plans \u003c\/b\u003eoffered by MNOs and MVNOs?\u003c\/li\u003e\n\u003cli\u003eWhat \u003cb\u003e15 parameters influence IoT connectivity billing \u003c\/b\u003eand pricing from an operator perspective?\u003c\/li\u003e\n\u003cli\u003eWhat are key emerging \u003cb\u003etrends \u003c\/b\u003efor MNOs and MVNO?\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cspan style=\"color: rgb(34, 34, 34); font-size: 24px; font-weight: 700;\"\u003eCompanies mentioned\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003eA selection of companies mentioned in the report.\u003c\/p\u003e\u003cp\u003e1nce  1oT  AT\u0026amp;T  Deutsche Telekom  KDDI  KT Corp   LGUplus  NTTDocomo  Onomondo  Orange Egypt  Poste Italiane  SKTelecom  Sierra Wireless  SoftBank  Soracom  Telefonica  Telia  Telstra  Verizon  Vodafone\u003c\/p\u003e\u003ch3\u003eAbout the report\u003c\/h3\u003e\u003cp\u003eThe \u003cb\u003eIoT Mobile Operator Pricing \u0026amp; Market Report 2024-2030 \u003c\/b\u003eis part of IoT Analytics’ ongoing coverage of \u003cb\u003e\u003ca href=\"https:\/\/iot-analytics.com\/our-coverage\/iot-connectivity-hardware\/\" target=\"_blank\" rel=\"noopener\"\u003eIoT hardware and connectivity\u003c\/a\u003e. \u003c\/b\u003eThe report looks at the market for mobile operators and provides specific insights into different types of connectivity, data plans, and distinct offerings by Mobile Network Operators (MNOs) and Mobile Virtual Network Operators (MVNOs). Additionally, the report includes an IoT Mobile Operator Pricing benchmark, offering valuable insights into IoT pricing dynamics across different regions and types of connectivity.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eThe main purpose of this document is to help our readers understand the landscape of cellular IoT mobile operators.\u003c\/b\u003e\u003c\/p\u003e\u003ch3\u003eOverview of the IoT mobile operator market\u003c\/h3\u003e\u003cp\u003eThe mobile operator market is undergoing a significant shift. Cellular IoT connectivity is experiencing explosive growth, with projections indicating it will account for \u003cb\u003e3.2% of total mobile operator revenue by 2030\u003c\/b\u003e.\u003c\/p\u003e\u003cp\u003eChina Mobile currently dominates the global IoT landscape, boasting a remarkable \u003cb\u003e46.2% market share in global IoT connections (2023)\u003c\/b\u003e.\u003c\/p\u003e\u003cp\u003eIoT Analytics’ comprehensive research delves into trends and challenges within the mobile operator market. Notably, the data reveals a significant price disparity: \u003cb\u003eMobile Network Operators (MNOs) charge 77% more\u003c\/b\u003e for the 101-500 MB data band compared to Mobile Virtual Network Operators (MVNOs) offering 4G LTE data.\u003c\/p\u003e\u003cp\u003e\u003ca href=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2024\/08\/Market-Snapshot-Cellular-IoT-Connectivity-2024-IoT-Mobile-Operator-Benchmark-vf-vweb.png\"\u003e\u003cimg decoding=\"async\" class=\"aligncenter entered lazyloaded\" alt=\"Market snapshot: Cellular IoT connectivity 2024\" width=\"1920\" height=\"1008\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2024\/08\/Market-Snapshot-Cellular-IoT-Connectivity-2024-IoT-Mobile-Operator-Benchmark-vf-vweb.png\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2024\/08\/Market-Snapshot-Cellular-IoT-Connectivity-2024-IoT-Mobile-Operator-Benchmark-vf-vweb.png\" data-ll-status=\"loaded\" style=\"margin: 0px auto; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; background: transparent; clear: both; display: block;\"\u003e\u003c\/a\u003e\u003c\/p\u003e\u003ch3\u003eDefinition: Network operator\u003c\/h3\u003e\u003cp\u003e\u003ca href=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2024\/07\/Definition-Network-operator.png\" target=\"_blank\" rel=\"noopener\"\u003e\u003cimg decoding=\"async\" class=\"aligncenter\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2024\/07\/Definition-Network-operator.png\" alt=\"Definition Network Operator\" width=\"1280\" height=\"720\" style=\"margin: 0px auto; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; background: transparent; clear: both; display: block;\"\u003e\u003c\/a\u003e\u003c\/p\u003e\u003cp\u003eA \u003cb\u003enetwork operator\u003c\/b\u003e is an organization or entity that owns, operates, or leases the infrastructure and resources required to provide telecommunication services. This includes the deployment and maintenance of physical network infrastructure, such as cell towers, base stations, and switching centers, and the management of frequency spectrum licenses.\u003c\/p\u003e\u003cp\u003eNetwork operators can be further categorized into four types:\u003c\/p\u003e\u003col\u003e\n\u003cli\u003eMobile network operators (MNO)\u003c\/li\u003e\n\u003cli\u003eMobile virtual network operator (MVNO)\u003c\/li\u003e\n\u003cli\u003eMobile virtual network enabler (MVNE)\u003c\/li\u003e\n\u003cli\u003eMobile virtual network aggregator (MVNA)\u003c\/li\u003e\n\u003c\/ol\u003e\u003ch3\u003eIoT pricing and billing considerations\u003c\/h3\u003e\u003cp\u003eThis report details \u003cb\u003esix IoT pricing and billing considerations\u003c\/b\u003e:\u003c\/p\u003e\u003col\u003e\n\u003cli\u003eVendor pricing models\u003c\/li\u003e\n\u003cli\u003eUser selection criteria\u003c\/li\u003e\n\u003cli\u003eParameters for billing structure\u003c\/li\u003e\n\u003cli\u003eCommon billing structure\u003c\/li\u003e\n\u003cli\u003eBilling structures per pricing model\u003c\/li\u003e\n\u003cli\u003eBiling support and enhancement\u003c\/li\u003e\n\u003c\/ol\u003e\u003cp\u003eThe included \u003cb\u003emobile operator pricing benchmark\u003c\/b\u003e covers comparative analyses of operators for specific user scenarios:\u003c\/p\u003e\u003cul\u003e\u003cli\u003e\u003cul\u003e\n\u003cli\u003eCellular IoT connectivity data price by data bands in $\u003c\/li\u003e\n\u003cli\u003ePricing comparison by IoT mobile operator by data band\u003c\/li\u003e\n\u003cli\u003eCellular IoT connectivity data price by technology in $\u003c\/li\u003e\n\u003cli\u003ePricing comparison by IoT mobile operator by technology\u003c\/li\u003e\n\u003cli\u003eCellular IoT connectivity avg price per MB by data bands in $\u003c\/li\u003e\n\u003cli\u003ePricing comparison by IoT mobile operator by data band and MB\u003c\/li\u003e\n\u003cli\u003eCellular IoT connectivity avg price per MB by technology in $\u003c\/li\u003e\n\u003cli\u003ePricing comparison by IoT mobile operator per technology and MB\u003c\/li\u003e\n\u003cli\u003eCellular IoT connectivity plan price by data bands for MNO in $\u003c\/li\u003e\n\u003cli\u003eCellular IoT connectivity plan price by data bands for MVNO in $\u003c\/li\u003e\n\u003cli\u003ePricing comparison by IoT mobile operator\u003c\/li\u003e\n\u003cli\u003ePrice per 1 MB + per 1 SMS by data bands for MNO in $\u003c\/li\u003e\n\u003cli\u003ePrice per 1 MB + per 1 SMS by data bands for MVNO in $\u003c\/li\u003e\n\u003cli\u003ePricing comparison by IoT mobile operator per data band\u003c\/li\u003e\n\u003c\/ul\u003e\u003c\/li\u003e\u003c\/ul\u003e\u003ch3\u003eIoT Pricing Database structure\u003c\/h3\u003e\u003cp\u003e\u003ca href=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2024\/07\/Database-for-IoT-pricing.png\" target=\"_blank\" rel=\"noopener\"\u003e\u003cimg decoding=\"async\" class=\"aligncenter\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2024\/07\/Database-for-IoT-pricing.png\" alt=\"Database for IoT Pricing\" width=\"1280\" height=\"720\" style=\"margin: 0px auto; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; background: transparent; clear: both; display: block;\"\u003e\u003c\/a\u003e\u003c\/p\u003e\u003cp\u003eIoT Analytics collected information on \u003cb\u003eIoT data pricing from 14 MNOs and 7 MVNOs\u003c\/b\u003e. The database contains information on \u003cb\u003e150 IoT Plans (300K individual data points)\u003c\/b\u003e. Each data plan has been classified into 30 columns.\u003c\/p\u003e\u003ch3\u003e\u003c\/h3\u003e\u003cp\u003eOur insights are trusted by global industry leaders\u003c\/p\u003e\u003cfigure\u003e\u003cspan class=\"et_pb_image_wrap \"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/abb_logo_grey_150x74_v2.png\" alt=\"abb_logo_grey\" title=\"abb_logo_grey_150x74_v2\" class=\"wp-image-121421 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/abb_logo_grey_150x74_v2.png\" data-ll-status=\"loaded\" style=\"padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; background: transparent; position: relative; margin: 0px;\"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/samsung_logo_grey_150x74.png\" alt=\"samsung_logo_grey\" title=\"samsung_logo_grey_150x74\" class=\"wp-image-121416 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/samsung_logo_grey_150x74.png\" data-ll-status=\"loaded\" style=\"background: transparent; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; position: relative; margin: 0px;\"\u003e\u003c\/span\u003e\u003c\/figure\u003e\u003cfigure\u003e\u003cspan class=\"et_pb_image_wrap \"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/Microsoft_logo_grey_150x74.png\" alt=\"Microsoft_logo_grey\" title=\"Microsoft_logo_grey_150x74\" class=\"wp-image-121422 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/Microsoft_logo_grey_150x74.png\" data-ll-status=\"loaded\" style=\"margin: 0px; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; background: transparent; position: relative;\"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2021\/03\/logo-sony.png\" alt=\"logo-sony\" title=\"logo-sony\" class=\"wp-image-139261 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2021\/03\/logo-sony.png\" data-ll-status=\"loaded\" style=\"background: transparent; margin: 0px; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; position: relative;\"\u003e\u003c\/span\u003e\u003c\/figure\u003e\u003cp\u003e\u003cspan class=\"et_pb_image_wrap \"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2020\/05\/Siemens-logo.png\" alt=\"Siemens logo\" title=\"Siemens logo\" class=\"wp-image-135837 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2020\/05\/Siemens-logo.png\" data-ll-status=\"loaded\" style=\"margin: 0px; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; background: transparent; position: relative;\"\u003e\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e","brand":"IOT Analytics","offers":[{"title":"Single User License","offer_id":50506476290118,"sku":"IOTANALYTICS24","price":390000.0,"currency_code":"INR","in_stock":true},{"title":"Team User License","offer_id":50690263744582,"sku":"IOTANALYTICS24-2","price":487500.0,"currency_code":"INR","in_stock":true},{"title":"Enterprise Premium License","offer_id":50690263842886,"sku":"IOTANALYTICS24-3","price":780000.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0754\/2797\/1142\/files\/iot-mobile-operator-pricing-and-market-report-2024-2030.png?v=1791613143"},{"product_id":"digital-and-ai-in-industrial-robotics-insights-report-2025","title":"Digital \u0026 AI in Industrial Robotics Insights Report 2025","description":"\u003ch3\u003eQuestions answered\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003eWhat \u003cb\u003etypes of robots\u003c\/b\u003e currently exist, and what are their roles?\u003c\/li\u003e\n\u003cli\u003eWhat types of \u003cb\u003esoftware platforms\u003c\/b\u003e do robotics OEMs provide?\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eHow many \u003c\/b\u003erobots have been installed, and which \u003cb\u003eindustries \u003c\/b\u003eand \u003cb\u003eregions\u003c\/b\u003e lead in these installations?\u003c\/li\u003e\n\u003cli\u003eWhat are \u003cb\u003ekey focus areas of AI in robotics \u003c\/b\u003eand how do they differ among robotic OEMs?\u003c\/li\u003e\n\u003cli\u003eWhat are robotics \u003cb\u003eexecutives\u003c\/b\u003e saying about the current and future states of robotics?\u003c\/li\u003e\n\u003cli\u003eWhat are key \u003cb\u003euse cases\u003c\/b\u003e for AI in robotics?\u003c\/li\u003e\n\u003cli\u003eHow do \u003cb\u003eIoT platforms of different robotics OEM \u003c\/b\u003ecompare?\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch4\u003eTable of Contents\u003c\/h4\u003e\n\u003cp\u003e\u003cb\u003eDigital \u0026amp; AI in Industrial Robotics Insights Report 2025 (PDF)\u003c\/b\u003e\u003c\/p\u003e\n\u003col\u003e\n\u003cli\u003eIntroduction\u003c\/li\u003e\n\u003cli\u003eDigital platforms in industrial robotics\u003c\/li\u003e\n\u003cli\u003eAI in industrial robotics\n\u003col\u003e\n\u003cli\u003eOverview\u003c\/li\u003e\n\u003cli\u003eAI in stationary \u0026amp; collaborative robots\u003c\/li\u003e\n\u003cli\u003eAI in mobile robots\u003c\/li\u003e\n\u003cli\u003eAI in service \u0026amp; humanoid robots\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003c\/li\u003e\n\u003cli\u003eAbout IoT Analytics\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003ch3\u003eCompanies mentioned\u003c\/h3\u003e\n\u003cp\u003eA selection of companies mentioned in the report.\u003c\/p\u003e\n\u003cp\u003eABB\u003c\/p\u003e\n\u003cp\u003eAGILOX\u003c\/p\u003e\n\u003cp\u003eAgile Robots\u003c\/p\u003e\n\u003cp\u003eBasler\u003c\/p\u003e\n\u003cp\u003eFANUC\u003c\/p\u003e\n\u003cp\u003eGoogle\u003c\/p\u003e\n\u003cp\u003eKUKA\u003c\/p\u003e\n\u003cp\u003eMiR (Mobile Industrial Robots)\u003c\/p\u003e\n\u003cp\u003eNEURA Robotics\u003c\/p\u003e\n\u003cp\u003eNVIDIA\u003c\/p\u003e\n\u003cp\u003eRobominds\u003c\/p\u003e\n\u003cp\u003eSiemens\u003c\/p\u003e\n\u003cp\u003eStäubli\u003c\/p\u003e\n\u003cp\u003eUniversal Robots\u003c\/p\u003e\n\u003cp\u003eYASKAWA\u003c\/p\u003e\n\u003ch3\u003eAbout the report\u003c\/h3\u003e\n\u003ch1\u003e\u003cb\u003eDigital \u0026amp; AI in Industrial Robotics Insights Report 2025\u003c\/b\u003e\u003c\/h1\u003e\n\u003ch3\u003e\u003cb\u003eIntroduction\u003c\/b\u003e\u003c\/h3\u003e\n\u003cp\u003eThe industrial robotics landscape is undergoing a significant technological shift as advancements in software platforms and artificial intelligence redefine automation capabilities. For leaders in manufacturing, automation, and technology development, a current and objective understanding of these trends is critical for strategic planning and maintaining a competitive edge.\u003c\/p\u003e\n\u003cp\u003eAs part of our ongoing coverage of industrial IoT and AI, this report presents a timely analysis of the state of digital platforms and AI in robotics. The insights are based on observations and over \u003cb\u003e50 interviews\u003c\/b\u003e conducted at \u003cb\u003eAutomatica 2025\u003c\/b\u003e in Munich, Germany, supplemented by selected secondary research.\u003c\/p\u003e\n\u003cp\u003eThe result is a \u003cb\u003e58-page report \u003c\/b\u003ecompiled to help readers stay apprised of the newest trends in industrial robotics and the evolving market landscape. The report examines the software strategies of leading OEMs and provides a deep dive into the key use cases and technologies driving the next generation of industrial automation.\u003c\/p\u003e\n\u003ch3\u003e\u003cb\u003eReport at a glance\u003c\/b\u003e\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cb\u003e58-page PDF report:\u003c\/b\u003e A detailed document analyzing the latest robotics trends.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eAnalysis of 10 key trends:\u003c\/b\u003e A review of the most important developments in digital platforms and AI for robotics.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003e3 in-depth OEM comparisons:\u003c\/b\u003e Detailed examinations of the IoT platforms, AI setups, and mobile robot offerings from leading vendors.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eInsights from 50+ expert interviews:\u003c\/b\u003e Direct perspectives from robotics OEMs, startups, and integrators at Automatica 2025.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eBreakdown of 5 robot types:\u003c\/b\u003e An overview of the roles and market status for stationary, collaborative, mobile, service, and humanoid robots.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003e\u003cb\u003eKey areas of analysis:\u003c\/b\u003e\u003c\/h3\u003e\n\u003cp\u003eThe report’s analysis includes an in-depth look at several key areas:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cb\u003eOEM digital platform strategies:\u003c\/b\u003e An examination of the three types of software platforms offered by robot OEMs: programming environments, digital twin\/simulation tools, and IoT platforms. The analysis includes a detailed comparison of the IoT platform offerings of leading vendors.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eThe role of AI in robotics:\u003c\/b\u003e A deep dive into the key AI topics for industrial robot OEMs, including perception, motion planning, and the emerging role of foundation models. The report includes detailed comparisons of the AI setups of leading stationary and mobile robot manufacturers.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eEmerging technology trends:\u003c\/b\u003e An analysis of 10 key trends observed at Automatica 2025.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eMarket overview and context:\u003c\/b\u003e An analysis of the global industrial robotics market, including annual installation data by country, industry, and vendor.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003e\u003cb\u003eA data-driven foundation for key business functions\u003c\/b\u003e\u003c\/h3\u003e\n\u003cp\u003eThis research is designed to provide a data-driven foundation for key business functions:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cb\u003eFor corporate strategy \u0026amp; product management:\u003c\/b\u003e The report’s analysis of OEM platform strategies and emerging technology trends provides the necessary intelligence to benchmark product roadmaps and identify new market opportunities.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eFor CTOs \u0026amp; engineering leadership:\u003c\/b\u003e The deep dives into AI hardware and software architectures, including the role of Al compute and changing sensor requirements, offer a clear view of the technological trajectory of the industrial robotics market.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eFor market intelligence \u0026amp; competitive analysis:\u003c\/b\u003e The detailed comparisons of vendor offerings in IoT platforms and AI serve as a central, objective source of intelligence for assessing the competitive landscape.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eFor automation \u0026amp; manufacturing leaders:\u003c\/b\u003e The analysis of key use cases and trends provides a practical guide to the latest advancements in robotic automation, from virtual commissioning with digital twins to the adoption of AI-driven quality control.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003e\u003cb\u003eKey concepts in industrial robotics\u003c\/b\u003e\u003c\/h3\u003e\n\u003ch4\u003e\u003cb\u003eTypes of robots\u003c\/b\u003e\u003c\/h4\u003e\n\u003cp\u003eThe report provides context on the five common types of robots in the market:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cb\u003eStationary robots:\u003c\/b\u003e Robots mounted to a fixed point, typically used for repetitive, high-precision tasks in industrial settings.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eCollaborative robots (cobots):\u003c\/b\u003e Robots designed to operate safely alongside human workers in shared workspaces.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eMobile robots (AGV\/AMR):\u003c\/b\u003e Robots that navigate (semi)-autonomously to perform tasks like material transport and inspection.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eService robots:\u003c\/b\u003e Robots that automate routine, non-industrial tasks in sectors like healthcare and logistics.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eHumanoid robots:\u003c\/b\u003e Robots designed to resemble the human body for interaction in human-centric environments.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch4\u003e\u003cb\u003eOEM software platforms\u003c\/b\u003e\u003c\/h4\u003e\n\u003cp\u003eThe analysis covers the three core types of digital platforms that robot OEMs typically provide:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cb\u003eRobot programming environments:\u003c\/b\u003e Tools to create, edit, and manage robot code.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eDigital twin\/simulation tools:\u003c\/b\u003e Software to create virtual models of robots and their work cells for offline programming and validation.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eIoT platforms:\u003c\/b\u003e Software to connect robots to the cloud or local servers for condition monitoring, predictive maintenance, and fleet management.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eOur insights are trusted by global industry leaders\u003c\/p\u003e\n\u003cfigure\u003e\u003cspan class=\"et_pb_image_wrap\"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/abb_logo_grey_150x74_v2.png\" alt=\"abb_logo_grey\" title=\"abb_logo_grey_150x74_v2\" class=\"wp-image-121421 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/abb_logo_grey_150x74_v2.png\" data-ll-status=\"loaded\" style=\"margin: 0px; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; background: transparent; position: relative;\"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/samsung_logo_grey_150x74.png\" alt=\"samsung_logo_grey\" title=\"samsung_logo_grey_150x74\" class=\"wp-image-121416 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/samsung_logo_grey_150x74.png\" data-ll-status=\"loaded\" style=\"background: transparent; margin: 0px; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; position: relative;\"\u003e\u003c\/span\u003e\u003c\/figure\u003e\n\u003cfigure\u003e\u003cspan class=\"et_pb_image_wrap\"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/Microsoft_logo_grey_150x74.png\" alt=\"Microsoft_logo_grey\" title=\"Microsoft_logo_grey_150x74\" class=\"wp-image-121422 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/Microsoft_logo_grey_150x74.png\" data-ll-status=\"loaded\" style=\"margin: 0px; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; background: transparent; position: relative;\"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2021\/03\/logo-sony.png\" alt=\"logo-sony\" title=\"logo-sony\" class=\"wp-image-139261 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2021\/03\/logo-sony.png\" data-ll-status=\"loaded\" style=\"background: transparent; margin: 0px; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; position: relative;\"\u003e\u003c\/span\u003e\u003c\/figure\u003e\n\u003cp\u003e\u003cspan class=\"et_pb_image_wrap\"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2020\/05\/Siemens-logo.png\" alt=\"Siemens logo\" title=\"Siemens logo\" class=\"wp-image-135837 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2020\/05\/Siemens-logo.png\" data-ll-status=\"loaded\" style=\"margin: 0px; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; background: transparent; position: relative;\"\u003e\u003c\/span\u003e\u003c\/p\u003e","brand":"IOT Analytics","offers":[{"title":"Single User License","offer_id":50506510336070,"sku":"IOTANALYTICS25","price":195000.0,"currency_code":"INR","in_stock":true},{"title":"Team User License","offer_id":50506510368838,"sku":"IOTANALYTICS25-2","price":243750.0,"currency_code":"INR","in_stock":true},{"title":"Enterprise Premium License","offer_id":50506510401606,"sku":"IOTANALYTICS25-3","price":390000.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0754\/2797\/1142\/files\/digital-and-ai-in-industrial-robotics-insights-report-2025.png?v=1791612948"},{"product_id":"industrial-ai-market-report-2025-2030","title":"Industrial AI Market Report 2025-2030","description":"\u003cp\u003e\u003cspan style=\"color: rgb(34, 34, 34); font-size: 24px; font-weight: bold;\"\u003eQuestions answered\u003c\/span\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eWhat is industrial AI (i.e., \u003cb\u003ean industrial AI definition\u003c\/b\u003e)?\u003c\/li\u003e\n\u003cli\u003eWhich \u003cb\u003etechnologies \u003c\/b\u003eare used for implementing industrial AI projects (including hardware and software deep-dive)?\u003c\/li\u003e\n\u003cli\u003eWhat is the current \u003cb\u003eindustrial AI market \u003c\/b\u003esize and its forecast (by sub-markets, regions, technologies, industries)?\u003c\/li\u003e\n\u003cli\u003eWho are the key \u003cb\u003eindustrial AI vendors \u003c\/b\u003eand what are their \u003cb\u003emarket shares\u003c\/b\u003e?\u003c\/li\u003e\n\u003cli\u003eWhat are the 50 most common \u003cb\u003eindustrial AI use cases\u003c\/b\u003e?\u003c\/li\u003e\n\u003cli\u003eWhat is \u003cb\u003ethe perspective of industrial AI end users\u003c\/b\u003e? What are the \u003cb\u003efactors that facilitate or limit adoption?\u003c\/b\u003e\n\u003c\/li\u003e\n\u003cli\u003eHow are selected manufacturers\u003cb\u003e adopting industrial AI \u003c\/b\u003eand what are the details of representative \u003cb\u003ecase studies?\u003c\/b\u003e\n\u003c\/li\u003e\n\u003cli\u003eHow do manufacturers adopt \u003cb\u003egenerative AI, edge AI and agentic AI?\u003c\/b\u003e\n\u003c\/li\u003e\n\u003cli\u003eWhat are the key \u003cb\u003etrends \u0026amp; challenges \u003c\/b\u003ein industrial AI space?\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003eCompanies mentioned\u003c\/h3\u003e\n\u003cp\u003eA selection from 670 companies mentioned.\u003c\/p\u003e\n\u003cp\u003eAMD AWS Accenture Alibaba Capgemini Dell Technologies Deloitte Foxconn Google Cloud Infosys Microsoft NVIDIA Siemens Supermicro TCS\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch3\u003eAbout the report\u003c\/h3\u003e\n\u003cp\u003eThe \u003cb\u003eIndustrial AI Market Report 2025-2030\u003c\/b\u003e is part of IoT Analytics’ ongoing coverage of \u003ca href=\"https:\/\/iot-analytics.com\/our-coverage\/industrial-iot\/\" rel=\"noopener\" target=\"_blank\"\u003esmart manufacturing\u003c\/a\u003e and \u003ca href=\"https:\/\/iot-analytics.com\/our-coverage\/ai\/\"\u003eAI\u003c\/a\u003e topics\u003cb\u003e. \u003c\/b\u003eThe information presented in this report is based on the results of multiple surveys, secondary research as well as qualitative research i.e., interviews with experts and end users in the field. The document includes definitions for industrial AI and related topics (Edge AI, AI in robotics, Generative AI), market projections, adoption drivers, competitive landscapes, key trends and developments, and case studies.\u003c\/p\u003e\n\u003cp\u003eThis report is the third installment of our dedicated research coverage on industrial AI and related topics, including predictive maintenance, machine vision \u0026amp; robotics, digital twin, and edge AI.\u003c\/p\u003e\n\u003cp\u003e\u003ca href=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2025\/07\/8-years-of-dedicated-research-coverage-on-industrial-AI-and-related-topics-vw.png\" rel=\"noopener\" target=\"_blank\"\u003e\u003cimg decoding=\"async\" class=\"aligncenter entered lazyloaded\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2025\/07\/8-years-of-dedicated-research-coverage-on-industrial-AI-and-related-topics-vw.png\" alt=\"8 years of dedicated research coverage on industrial AI and related topics\" width=\"1280\" height=\"720\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2025\/07\/8-years-of-dedicated-research-coverage-on-industrial-AI-and-related-topics-vw.png\" data-ll-status=\"loaded\" style=\"margin: 0px auto; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; background: transparent; clear: both; display: block;\"\u003e\u003c\/a\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eThe main purpose of this document is to help our readers understand the current industrial AI landscape by defining, sizing and analyzing the market.\u003c\/b\u003e\u003c\/p\u003e\n\u003ch3\u003eThe Industrial AI Market Report 2025-2030\u003c\/h3\u003e\n\u003cp\u003eThe global industrial AI market, a multi-billion dollar market in 2024, is forecast to experience significant double-digit growth through 2030. This report delivers market data and insights helping decisions makers navigate through the market landscape.\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eReport highlights:\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cb\u003eMarket sizing \u0026amp; forecasts:\u003c\/b\u003e A detailed market model and forecast to 2030, segmented by tech stack (hardware, software, services), AI type, industry, region, and by top five countries.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eCompetitive landscape:\u003c\/b\u003e In-depth analysis of the \u003cb\u003e15 largest vendors\u003c\/b\u003e with market shares and \u003cb\u003e30+ upcoming companies\u003c\/b\u003e.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eUse case \u0026amp; adoption analysis:\u003c\/b\u003e Deep dive into \u003cb\u003e48 key use cases\u003c\/b\u003e across \u003cb\u003e10 categories\u003c\/b\u003e, enriched with end-user perspectives on adoption drivers and barriers.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eStrategic insights:\u003c\/b\u003e A review of \u003cb\u003e21 key market trends\u003c\/b\u003e and \u003cb\u003e6 challenges\u003c\/b\u003e shaping the industrial AI space.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eTechnology deep dives:\u003c\/b\u003e Dedicated chapters providing in-depth analyses of \u003cb\u003eGenerative AI \u0026amp; Agentic AI, Edge AI, and AI in Robotics\u003c\/b\u003e.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eIn-depth studies:\u003c\/b\u003e Features \u003cb\u003e6 detailed use case studies\u003c\/b\u003e and \u003cb\u003e4 deep dives\u003c\/b\u003e into the AI strategies of leading manufacturers.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003eThe market report comes with the full market model data in EXCEL, a list of 670 industrial AI vendor in EXCEL, and a list of industrial AI projects \u003c\/b\u003e(\u003cem\u003eonly team user and enterprise premium license\u003c\/em\u003e)\u003cb\u003e.\u003c\/b\u003e\u003c\/p\u003e\n\u003ch3\u003eWhat is industrial AI?\u003c\/h3\u003e\n\u003ch4\u003eDefinition of AI\u003c\/h4\u003e\n\u003cp\u003eAI (Artificial Intelligence) is defined as machine driven intelligent behavior that involves the ability to acquire and apply knowledge.\u003c\/p\u003e\n\u003cp\u003eAI consists of an analytics (learning) and an outcome (action\/decision\/prediction) component:\u003c\/p\u003e\n\u003col\u003e\n\u003cli\u003eAnalytics corresponds to the data management processes and data science algorithms through which the device learns.\u003c\/li\u003e\n\u003cli\u003eOutcome corresponds to the intelligent behavior, e.g., generating a decision, a prediction, or triggering an action.\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003ch4\u003eDefinition of industrial AI\u003c\/h4\u003e\n\u003cp\u003eIndustrial AI is defined as the application of AI techniques to data generated by operational technology and engineering systems in asset-heavy sectors, optimizing industrial processes at any stage of the product and asset lifecycle.\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cb\u003eOperational technology and engineering systems\u003c\/b\u003e: Control, monitoring, and design platforms that generate real-time and engineering data about physical assets (e.g., PLC, SCADA networks, sensors, CAD\/CAE suites, and PLM tools)\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eAsset-heavy sectors\u003c\/b\u003e: Industries whose business relies on extensive physical infrastructure and equipment (e.g., discrete and process manufacturing, energy, chemicals, mining, and transportation)\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eIndustrial processes\u003c\/b\u003e: Technical workflows that create, move, or sustain physical goods and assets (e.g., product design, manufacturing, maintenance, logistics, field service)\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eOur insights are trusted by global industry leaders\u003c\/p\u003e\n\u003cfigure\u003e\u003cspan class=\"et_pb_image_wrap\"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/abb_logo_grey_150x74_v2.png\" alt=\"abb_logo_grey\" title=\"abb_logo_grey_150x74_v2\" class=\"wp-image-121421 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/abb_logo_grey_150x74_v2.png\" data-ll-status=\"loaded\" style=\"margin: 0px; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; background: transparent; position: relative;\"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/samsung_logo_grey_150x74.png\" alt=\"samsung_logo_grey\" title=\"samsung_logo_grey_150x74\" class=\"wp-image-121416 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/samsung_logo_grey_150x74.png\" data-ll-status=\"loaded\" style=\"background: transparent; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; position: relative; margin: 0px;\"\u003e\u003c\/span\u003e\u003c\/figure\u003e\n\u003cfigure\u003e\u003cspan class=\"et_pb_image_wrap\"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/Microsoft_logo_grey_150x74.png\" alt=\"Microsoft_logo_grey\" title=\"Microsoft_logo_grey_150x74\" class=\"wp-image-121422 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/Microsoft_logo_grey_150x74.png\" data-ll-status=\"loaded\" style=\"margin: 0px; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; background: transparent; position: relative;\"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2021\/03\/logo-sony.png\" alt=\"logo-sony\" title=\"logo-sony\" class=\"wp-image-139261 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2021\/03\/logo-sony.png\" data-ll-status=\"loaded\" style=\"background: transparent; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; position: relative; margin: 0px;\"\u003e\u003c\/span\u003e\u003c\/figure\u003e\n\u003cp\u003e\u003cspan class=\"et_pb_image_wrap\"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2020\/05\/Siemens-logo.png\" alt=\"Siemens logo\" title=\"Siemens logo\" class=\"wp-image-135837 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2020\/05\/Siemens-logo.png\" data-ll-status=\"loaded\" style=\"margin: 0px; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; background: transparent; position: relative;\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e","brand":"IOT Analytics","offers":[{"title":"Single User License","offer_id":50506550083654,"sku":"IOTANALYTICS26","price":487500.0,"currency_code":"INR","in_stock":true},{"title":"Team User License","offer_id":50506550116422,"sku":"IOTANALYTICS26-2","price":585000.0,"currency_code":"INR","in_stock":true},{"title":"Enterprise Premium License","offer_id":50506550149190,"sku":"IOTANALYTICS26-3","price":780000.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0754\/2797\/1142\/files\/industrial-ai-market-report-2025-2030.png?v=1791613039"},{"product_id":"wireless-iot-connectivity-chipset-market-report-2025-2030","title":"Wireless IoT Connectivity Chipset Market Report 2025-2030","description":"\u003cp\u003e\u003cspan style=\"color: rgb(34, 34, 34); font-size: 24px; font-weight: 700;\"\u003eQuestions answered\u003c\/span\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eWhat are wireless IoT connectivity chipsets, and how are they classified? (i.e., \u003cb\u003edefinition and types of IoT connectivity chipsets\u003c\/b\u003e)\u003c\/li\u003e\n\u003cli\u003eWhat does the \u003cb\u003ecompetitive landscape \u003c\/b\u003efor wireless IoT connectivity chipsets look like?\u003c\/li\u003e\n\u003cli\u003eWhat are the \u003cb\u003emarket shares \u003c\/b\u003eof leading vendors across cellular IoT, Wi-Fi IoT, and Bluetooth IoT segments?\u003c\/li\u003e\n\u003cli\u003eWhat is the \u003cb\u003ecurrent and forecasted market size \u003c\/b\u003efor the cellular IoT, Wi-Fi IoT, Bluetooth IoT, and unlicensed LPWA market?\u003c\/li\u003e\n\u003cli\u003eWhat \u003cb\u003eregional\u003c\/b\u003e dynamics shape the wireless IoT connectivity market?\u003c\/li\u003e\n\u003cli\u003eWhat are the emerging \u003cb\u003etrends \u003c\/b\u003ein the wireless IoT connectivity market?\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eCompanies mentioned\u003c\/h3\u003e\u003cp\u003eASR  Broadcom  Hisilicon  Infineon  Intel  Mediatek  NXP  Qualcomm  Realtek  Renesas  ST Micro  Sequans  Sony Altair\u003c\/p\u003e\u003cp\u003eTexas Instruments  UNISOC  XINYI\u003c\/p\u003e\u003cp\u003e\u003cspan style=\"color: rgb(34, 34, 34); font-size: 24px; font-weight: 700;\"\u003eAbout the report\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003eThe number of connected IoT devices continues to grow, with rising semiconductor value per device. Each IoT device typically contains up to nine semiconductor components. This report focuses on connectivity chipsets, which enable wireless communication across cellular and non-cellular networks.\u003c\/p\u003e\u003cp\u003eThis report provides an in-depth analysis of the wireless IoT connectivity chipset market, focusing on four core technology segments: Cellular IoT, Unlicensed LPWA, Wi-Fi IoT, and Bluetooth IoT. It offers a structured view of market size and forecast, competitive dynamics, and the key technology developments shaping each segment.\u003c\/p\u003e\u003cp\u003eThe analysis is grounded in primary research, including interviews with experts from chipset vendors and end-user organizations. These insights are supported by extensive secondary research and observations from major industry trade events.\u003c\/p\u003e\u003ch3\u003eReport at a glance\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cb\u003e156-page report:\u003c\/b\u003e Detailing the wireless IoT connectivity chipset market with a 5-year forecast.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003e4 technology deep dives:\u003c\/b\u003e A structured analysis of Cellular IoT, Wi-Fi IoT, Bluetooth IoT, and Unlicensed LPWA.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003e12+ technology trends analyzed:\u003c\/b\u003e Examination of key developments, including 5G RedCap, LTE Cat-1 bis, energy harvesting, and Wi-Fi 7 adoption.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eVendor market share analysis:\u003c\/b\u003e A breakdown of the competitive landscape for cellular, Wi-Fi, and Bluetooth IoT chipset markets.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eKey areas of analysis\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cb\u003eIoT semiconductor market overview:\u003c\/b\u003e Defines nine types of IoT semiconductor components and sizes the general IoT semiconductor market and its enhanced value chain (foundries, EDA, IP). It also outlines five overarching trends impacting the industry: AI integration, hardware security, geopolitical dynamics, strategic national investments, and supply chain diversification.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eIoT connectivity technology overview:\u003c\/b\u003e Details 24 main standards across cellular and non-cellular technologies, including legacy, broadband, and licensed LPWA for cellular, and wired, WPAN, unlicensed LPWA, WLAN, and satellite for non-cellular.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eCellular IoT deep dive:\u003c\/b\u003e Analyzes the market for cellular IoT chipsets, including spending, shipments, and average selling price (ASP), with forecasts to 2030. It provides breakdowns by technology, region, and industry vertical and details five key trends, such as the introduction of 5G RedCap and the growth of LTE Cat-1 bis\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eUnlicensed LPWA deep dive:\u003c\/b\u003e Examines the market for unlicensed LPWA chipsets, covering market spending, shipments, and ASP by technology. It discusses four key trends, including energy harvesting for battery-free devices and the convergence of LPWAN and satellite connectivity.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eWi-Fi IoT deep dive:\u003c\/b\u003e Details the market for Wi-Fi IoT chipsets, with analysis of spending, shipments, and ASP, alongside a regional breakdown. The competitive landscape is outlined, as are key trends such as low-power Wi-Fi modules and the expansion of Wi-Fi 7.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eBluetooth IoT deep dive:\u003c\/b\u003e Presents an analysis of the Bluetooth IoT chipset market, including spending, shipments, and ASP, with a regional breakdown. It covers the competitive landscape and the trend toward dual-mode Wi-Fi \u0026amp; Bluetooth modules for optimized connectivity.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eA data-driven foundation for key business functions\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cb\u003eStrategy \u0026amp; corporate development:\u003c\/b\u003e Inform long-term strategy with market forecasts, regional growth analysis, and insights into the five overarching trends shaping the semiconductor industry, from geopolitics to supply chain diversification.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eProduct management \u0026amp; marketing:\u003c\/b\u003e Shape product roadmaps with detailed analysis of technology adoption (e.g., 5G RedCap vs. LTE Cat-1 bis), competitive landscapes for each connectivity segment, and emerging use cases driven by new standards.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eR\u0026amp;D \u0026amp; engineering leadership:\u003c\/b\u003e Direct technical priorities with insights into key trends like low-power chipset design, multi-protocol integration.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eMarket intelligence \u0026amp; competitive analysis:\u003c\/b\u003e Benchmark company performance with granular market share data for cellular IoT, Wi-Fi IoT, and Bluetooth IoT chipsets, alongside profiles of key vendors’ product portfolios and R\u0026amp;D focus areas.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eKey concepts defined\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cb\u003eIoT semiconductor: \u003c\/b\u003eSpecialized semiconductor-based components that provide the core functionality and connectivity of IoT devices, including processing, communication, sensing\/actuating, power management, and security. The report categorizes these components based on their intended use at the “design stage” of a product’s life cycle.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eIoT connectivity chipset:\u003c\/b\u003e An IoT connectivity chipset is a radio SoC or baseband transceiver embedded in an IoT device, either directly or via a communication module, that enables and manages wired or wireless connectivity. It supports communication over technologies such as cellular (2G–5G, NB-IoT, LTE-M), Wi-Fi, Bluetooth, Zigbee, Thread, LoRa, or Ethernet, allowing the device to connect and exchange data within the IoT ecosystem.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eCellular IoT chipset:\u003c\/b\u003e A cellular IoT chipset is a radio SoC or a baseband\/transceiver solution embedded in an IoT device, either directly or via a communication module, that enables and manages connectivity over licensed cellular networks. It supports technologies such as 2G, 3G, 4G (LTE, LTE-M, NB-IoT, Cat-1 bis) and 5G (RedCap, eRedCap) to facilitate wide-area IoT communication.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eWi-Fi IoT chipset:\u003c\/b\u003e A Wi-Fi IoT chipset is a radio SoC or a transceiver embedded in an IoT device, either directly or via a module, that enables wireless local-area connectivity using Wi-Fi standards such as Wi-Fi 4, 5, 6, 6E, 7, or 802.11ah (HaLow).\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eBluetooth IoT chipset:\u003c\/b\u003e A Bluetooth IoT chipset is a radio SoC or a transceiver solution embedded in an IoT device, either directly or through a module, that provides short-range wireless communication based on Bluetooth Classic, Bluetooth Low Energy (BLE), or Bluetooth Mesh standards for applications such as lighting and building controls. It excludes chipsets primarily used for consumer audio applications.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eUnlicensed LPWA chipset:\u003c\/b\u003e An unlicensed LPWA (Low-Power Wide-Area) chipset is a radio SoC or a transceiver solution embedded in an IoT device, either directly or via a module, that enables long-range, low-power connectivity over unlicensed spectrum technologies such as LoRa, LoRaWAN, or mioty. It supports both public and private network deployments and is designed for IoT applications requiring low data throughput, extended battery life, and wide coverage.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eOur insights are trusted by global industry leaders\u003c\/p\u003e\u003cfigure\u003e\u003cspan class=\"et_pb_image_wrap \"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/abb_logo_grey_150x74_v2.png\" alt=\"abb_logo_grey\" title=\"abb_logo_grey_150x74_v2\" class=\"wp-image-121421 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/abb_logo_grey_150x74_v2.png\" data-ll-status=\"loaded\" style=\"margin: 0px; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; background: 0px 0px; position: relative;\"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/samsung_logo_grey_150x74.png\" alt=\"samsung_logo_grey\" title=\"samsung_logo_grey_150x74\" class=\"wp-image-121416 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/samsung_logo_grey_150x74.png\" data-ll-status=\"loaded\" style=\"background: 0px 0px; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; position: relative; margin: 0px;\"\u003e\u003c\/span\u003e\u003c\/figure\u003e\u003cfigure\u003e\u003cspan class=\"et_pb_image_wrap \"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/Microsoft_logo_grey_150x74.png\" alt=\"Microsoft_logo_grey\" title=\"Microsoft_logo_grey_150x74\" class=\"wp-image-121422 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/Microsoft_logo_grey_150x74.png\" data-ll-status=\"loaded\" style=\"margin: 0px; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; background: 0px 0px; position: relative;\"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2021\/03\/logo-sony.png\" alt=\"logo-sony\" title=\"logo-sony\" class=\"wp-image-139261 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2021\/03\/logo-sony.png\" data-ll-status=\"loaded\" style=\"background: 0px 0px; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; position: relative; margin: 0px;\"\u003e\u003c\/span\u003e\u003c\/figure\u003e\u003cp\u003e\u003cspan class=\"et_pb_image_wrap \"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2020\/05\/Siemens-logo.png\" alt=\"Siemens logo\" title=\"Siemens logo\" class=\"wp-image-135837 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2020\/05\/Siemens-logo.png\" data-ll-status=\"loaded\" style=\"margin: 0px; padding: 0px; outline: 0px; text-size-adjust: 100%; vertical-align: baseline; background: 0px 0px; position: relative;\"\u003e\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e","brand":"IOT Analytics","offers":[{"title":"Single User License","offer_id":50506557423686,"sku":"IOTANALYTICS27","price":487500.0,"currency_code":"INR","in_stock":true},{"title":"Team User License","offer_id":50689517781062,"sku":"IOTANALYTICS27-2","price":585000.0,"currency_code":"INR","in_stock":true},{"title":"Enterprise Premium License","offer_id":50689517813830,"sku":"IOTANALYTICS27-3","price":780000.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0754\/2797\/1142\/files\/wireless-iot-connectivity-chipset-market-report-2025-2030.png?v=1791613341"},{"product_id":"iot-microcontrollers-market-report-2025-2030","title":"IoT Microcontrollers Market Report 2025-2030","description":"\u003cp\u003e\u003cb\u003eQuestions answered\u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eWhat are IoT semiconductors and IoT MCUs (i.e., \u003cb\u003edefinition and types of IoT semiconductors\u003c\/b\u003e)?\u003c\/li\u003e\n\u003cli\u003eWhich \u003cb\u003etechnologies \u003c\/b\u003eare used for IoT semiconductors?\u003c\/li\u003e\n\u003cli\u003eHow does the \u003cb\u003ecompetitive landscape \u003c\/b\u003efor IoT MCUs look like and what are the \u003cb\u003emarket shares \u003c\/b\u003eof leading vendors?\u003c\/li\u003e\n\u003cli\u003eWhat is the \u003cb\u003ecurrent and forecasted market size \u003c\/b\u003efor the IoT MCU market\u003cb\u003e?\u003c\/b\u003e\n\u003c\/li\u003e\n\u003cli\u003eWhat regional dynamics shape the IoT MCU market?\u003c\/li\u003e\n\u003cli\u003eWhat are the emerging \u003cb\u003etrends \u003c\/b\u003ein the IoT MCU space?\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eCompanies mentioned\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eBroadcom  Esspressif  Holtek Semiconductor  Infineon  Microchip  NXP Renesas  ST Microelectronics  Samsung  Texas Instruments\u003c\/p\u003e\u003ch3\u003eAbout the report\u003c\/h3\u003e\u003cp\u003eThe number of connected IoT devices continues to grow, and the semiconductor density within each device is also increasing. Processors, such as microcontrollers (MCUs), are one of up to nine different types of semiconductor components typically found in an IoT device. This report provides a detailed examination of the IoT MCU market, which is a foundational category within the broader IoT semiconductor landscape.\u003c\/p\u003e\u003cp\u003eThe main purpose of this document is to help readers understand the current IoT MCU landscape by defining, sizing, and analyzing the market. It includes insights on the market size and outlook, the competitive landscape, and key technological trends and developments.\u003c\/p\u003e\u003cp\u003eThe analysis is based on in-depth primary research, including interviews with more than 20 semiconductor experts from various vendors and end-user companies conducted between November 2024 and July 2025. This is supplemented by extensive secondary research and insights gathered from leading industry trade fairs.\u003c\/p\u003e\u003ch3\u003eReport at a glance\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cb\u003e91-page report\u003c\/b\u003e: Detailing the IoT MCU market with a 5-year forecast from 2025 to 2030\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003e4 key IoT MCU trends analyzed\u003c\/b\u003e: A deep dive into the technological shifts shaping the market\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003e5 overarching semiconductor trends\u003c\/b\u003e: Analysis of the macro trends affecting the entire IoT semiconductor industry, including AI, security, and geopolitics\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eVendor market share analysis\u003c\/b\u003e: A breakdown of the competitive landscape, including market shares of leading IoT MCU vendors\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eDetailed market sizing and forecast\u003c\/b\u003e: A granular look at the IoT MCU market size through 2030, with breakdowns by region\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eKey areas of analysis\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cb\u003eIoT semiconductor market overview\u003c\/b\u003e Defines nine categories of IoT semiconductor components and provides a comprehensive market size analysis for both the general IoT semiconductor market and its extended value chain, including foundries, electronic design automation (EDA), and intellectual property (IP) segments. The section also highlights five overarching trends shaping the industry—AI integration, hardware security, geopolitical rivalry, strategic national investments, and supply chain diversification.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eIoT MCU technology overview\u003c\/b\u003e Differentiates between microcontrollers (MCUs) and microprocessors (MPUs), outlining the defining characteristics of an “IoT MCU.” This section provides an overview of MCU technology, including various bit-architecture variants and their respective suitability for IoT applications.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eIoT MCU market size and outlook\u003c\/b\u003e Presents a detailed analysis of global IoT MCU market spending, including forecasts through 2030. It contextualizes IoT MCU market growth relative to non-IoT MCUs and the broader semiconductor components market. The section also includes a regional breakdown of market trends across key global markets.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eIoT MCU competitive landscape\u003c\/b\u003e Analyzes the competitive landscape for IoT MCUs, featuring market share data of leading vendors by revenue. Company profiles highlight IoT strategies, product portfolios, strategic partnerships, and R\u0026amp;D priorities that define competitive positioning.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eKey IoT MCU trends\u003c\/b\u003e Provides an in-depth examination of four major trends: the adoption of RISC-V architectures, the role of MCUs in intelligent mobility, advancements in energy efficiency, and the integration of edge AI capabilities within MCU designs\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eA data-driven foundation for key business functions\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cb\u003eStrategy and corporate development\u003c\/b\u003e Leverage the five-year market forecast, regional dynamics analysis, and assessment of overarching industry trends such as geopolitical shifts and strategic national investments, to inform long-term strategic planning and corporate growth initiatives\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eProduct management and marketing\u003c\/b\u003e Utilize insights from the analysis of four key technology trends, the competitive landscape, and detailed company profiles to shape product roadmaps, refine go-to-market strategies, and strengthen competitive positioning\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eR\u0026amp;D and engineering leadership\u003c\/b\u003e Apply findings from the technology overview and key trend analyses to guide research and development priorities, focusing on critical innovation areas such as power efficiency, hardware security, and AI integration\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eMarket intelligence and competitive analysis\u003c\/b\u003e Use granular market share data, detailed company profiles, and evaluations of strategic industry shifts such as the transition from component-level to system-level solutions, to benchmark performance and anticipate competitive movements\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eKey concepts defined\u003c\/h3\u003e\u003cp\u003e\u003cb\u003eSemiconductor\u003c\/b\u003e A material—typically silicon—that exhibits electrical conductivity between that of a conductor and an insulator, enabling it to control electrical current flow in electronic devices and components.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eIoT semiconductor\u003c\/b\u003e Specialized semiconductor-based components that provide the core functionality and connectivity of IoT devices, including processing, communication, sensing\/actuating, power management, and security. The report categorizes these components based on their intended use at the “design stage” of a product’s life cycle.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eMicrocontroller unit (MCU)\u003c\/b\u003e A processor qualifies as an MCU when it integrates memory and peripherals on a single chip. MCUs are self-contained processors that integrate CPU, memory (program + data), and peripherals (I\/O, timers, ADC\/DAC, etc.) on a single chip. They do not require external memory or controllers to function. MCUs are typically optimized for low power, low cost, and dedicated control tasks in embedded systems such as wearables, smart home devices, and automotive subsystems.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eIoT MCU\u003c\/b\u003e An MCU qualifies as an IoT MCU when it has integrated wireless connectivity (e.g., Wi-Fi, Bluetooth, …). IoT MCUs are typically optimized for ultra-low power consumption and typically embed hardware-based security features; however, some may rely on software-based mechanisms to secure lightweight data processing tasks in IoT devices.\u003c\/p\u003e\u003cp\u003eOur insights are trusted by global industry leaders\u003c\/p\u003e\u003cfigure\u003e\u003cspan class=\"et_pb_image_wrap \"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/abb_logo_grey_150x74_v2.png\" alt=\"abb_logo_grey\" title=\"abb_logo_grey_150x74_v2\" class=\"wp-image-121421 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/abb_logo_grey_150x74_v2.png\" data-ll-status=\"loaded\" style=\"vertical-align: baseline; cursor: pointer; padding: 0px; outline: 0px; text-size-adjust: 100%; background: 0px 0px; position: relative; margin: 0px;\"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/samsung_logo_grey_150x74.png\" alt=\"samsung_logo_grey\" title=\"samsung_logo_grey_150x74\" class=\"wp-image-121416 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/samsung_logo_grey_150x74.png\" data-ll-status=\"loaded\" style=\"vertical-align: baseline; cursor: pointer; background: 0px 0px; padding: 0px; outline: 0px; text-size-adjust: 100%; position: relative; margin: 0px;\"\u003e\u003c\/span\u003e\u003c\/figure\u003e\u003cfigure\u003e\u003cspan class=\"et_pb_image_wrap \"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/Microsoft_logo_grey_150x74.png\" alt=\"Microsoft_logo_grey\" title=\"Microsoft_logo_grey_150x74\" class=\"wp-image-121422 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2018\/05\/Microsoft_logo_grey_150x74.png\" data-ll-status=\"loaded\" style=\"vertical-align: baseline; cursor: pointer; padding: 0px; outline: 0px; text-size-adjust: 100%; background: 0px 0px; position: relative; margin: 0px;\"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2021\/03\/logo-sony.png\" alt=\"logo-sony\" title=\"logo-sony\" class=\"wp-image-139261 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2021\/03\/logo-sony.png\" data-ll-status=\"loaded\" style=\"vertical-align: baseline; cursor: pointer; background: 0px 0px; padding: 0px; outline: 0px; text-size-adjust: 100%; position: relative; margin: 0px;\"\u003e\u003c\/span\u003e\u003c\/figure\u003e\u003cp\u003e\u003cspan class=\"et_pb_image_wrap \"\u003e\u003cimg decoding=\"async\" width=\"150\" height=\"74\" src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2020\/05\/Siemens-logo.png\" alt=\"Siemens logo\" title=\"Siemens logo\" class=\"wp-image-135837 entered lazyloaded\" data-lazy-src=\"https:\/\/iot-analytics.com\/wp-content\/uploads\/2020\/05\/Siemens-logo.png\" data-ll-status=\"loaded\" style=\"vertical-align: baseline; cursor: pointer; margin: 0px; padding: 0px; outline: 0px; text-size-adjust: 100%; background: 0px 0px; position: relative;\"\u003e\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e","brand":"IOT Analytics","offers":[{"title":"Single User License","offer_id":50506557521990,"sku":"IOTANALYTICS28","price":195000.0,"currency_code":"INR","in_stock":true},{"title":"Team User License","offer_id":50689517846598,"sku":"IOTANALYTICS28-2","price":243750.0,"currency_code":"INR","in_stock":true},{"title":"Enterprise Premium License","offer_id":50689517912134,"sku":"IOTANALYTICS28-3","price":390000.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0754\/2797\/1142\/files\/iot-microcontrollers-market-report-2025-2030.png?v=1791613127"},{"product_id":"digitalization-of-industrial-drives-adoption-report-2025","title":"Digitalization of Industrial Drives – Adoption Report 2025","description":"\u003cp\u003e\u003cspan style=\"color: rgb(34, 34, 34); font-size: 24px; font-weight: 700;\"\u003eQuestions answered\u003c\/span\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eWhat are the \u003cb\u003elife cycle stages\u003c\/b\u003e of an industrial drive and \u003cb\u003ekey digital solutions\u003c\/b\u003e?\u003c\/li\u003e\n\u003cli\u003eWhat is the \u003cb\u003edigital maturity of end customers \u003c\/b\u003eand the \u003cb\u003edrivers and challenges in adoption of digital solutions\u003c\/b\u003e?\u003c\/li\u003e\n\u003cli\u003eWhat are some of the \u003cb\u003ekey vendor of drive digital solutions\u003c\/b\u003e?\u003c\/li\u003e\n\u003cli\u003eWhat are some of the \u003cb\u003e“Simulation” solution use cases and the drivers and challenges\u003c\/b\u003e to its adoption?\u003c\/li\u003e\n\u003cli\u003eWhat are some of the \u003cb\u003e“Customization” solution use cases and the drivers and challenges\u003c\/b\u003e to its adoption?\u003c\/li\u003e\n\u003cli\u003eWhat are some of the \u003cb\u003e“Reliability \u0026amp; uptime” solutions and the drivers and challenges\u003c\/b\u003e to its adoption?\u003c\/li\u003e\n\u003cli\u003eWhat are some of the \u003cb\u003e“Cybersecurity” frameworks and the drivers and challenges \u003c\/b\u003eto its adoption?\u003c\/li\u003e\n\u003cli\u003eWhat are the \u003cb\u003ecustomer expectations \u003c\/b\u003efrom a drive manufacturer?\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eAbout the report\u003c\/h3\u003e\u003cp\u003eModern industrial drives have evolved from stand-alone components into connected, software-defined assets. This digitalization allows users to monitor conditions in real time, tune performance remotely, and orchestrate entire fleets of drives. This shift creates a new landscape of opportunities and challenges for original equipment manufacturers (OEMs), system integrators (SIs), and their end customers.\u003c\/p\u003e\u003cp\u003eThe \u003cb\u003eDigitalization of Industrial Drives – Adoption Report 2025\u003c\/b\u003e provides a structured analysis of the adoption of key digital solutions across the life cycle of industrial drives. It examines the market through five distinct lenses: an overview of industrial drives, the current state of digitalization, the landscape of key technology vendors, deep dives into four digital solution categories, and an analysis of customer expectations.\u003c\/p\u003e\u003cp\u003eThe research is based on a survey of industrial drive OEMs and system integrators, supplemented by in-depth interviews. The participants were selected across various industries in Europe, North America, and the Middle East \u0026amp; Africa.\u003c\/p\u003e\u003ch3\u003eReport at a glance\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cb\u003e157-page report\u003c\/b\u003e: Detailing the adoption of digital solutions for industrial drives.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003e4 in-depth digital solution analyses\u003c\/b\u003e: A deep-dive into 4 industrial drives digital solutions: Simulation, Customization, Reliability \u0026amp; Uptime, and Cybersecurity.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eData from 30+ industrial verticals\u003c\/b\u003e: Insights drawn from a wide range of sectors, including various types of manufacturing, energy, mining, and basic metals.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eVendor landscape breakdown\u003c\/b\u003e: An analysis of the primary industrial drive technology vendor market by solution type, region, company profile, and industry.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eCustomer expectation models\u003c\/b\u003e: A dedicated analysis of customer requirements for manufacturer support and pricing for digital solutions.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eKey areas of analysis\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cb\u003eIntroduction to industrial drives\u003c\/b\u003e: Details the definition and segmentation of mechanical, electrical, and hydraulic\/pneumatic drives, with a focus on electrical drives. It also outlines the key components of a drive system and a typical electrical drive software stack.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eState of digitalization\u003c\/b\u003e: Analyzes the digital maturity of end customers by region, company profile, and industry. It examines the primary drivers and challenges influencing the adoption of digital solutions and describes the customer journey for both OEMs and SIs.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eIndustrial drive vendor landscape\u003c\/b\u003e: Presents an overview of vendors for drive digital solutions. The analysis breaks down the landscape by region, company profile, served industry, and specific digital solution category.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eSimulation solutions deep dive\u003c\/b\u003e: Examines 11 simulation use cases across the drive life cycle, including the types of simulation tools used. The analysis details the drivers and challenges for adoption and discusses factors that build trust in simulation results.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eCustomization solutions deep dive\u003c\/b\u003e: Investigates 11 customization use cases and scenarios. It details the various methods used for drive customization, key adoption drivers, and implementation challenges.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eReliability \u0026amp; uptime solutions deep dive\u003c\/b\u003e: Analyzes 8 digital reliability and uptime solutions. The section outlines common data collection methods from drive systems and examines the issues faced when integrating third-party condition monitoring solutions.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eCybersecurity solutions deep dive\u003c\/b\u003e: Details the state of cybersecurity adoption, including an analysis of 26 different frameworks. It examines the importance placed on various security frameworks and outlines the key drivers and challenges for adoption.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eCustomer expectations\u003c\/b\u003e: Analyzes customer requirements for manufacturer support across simulation, customization, reliability \u0026amp; uptime, and cybersecurity. It also examines customer pricing expectations for premium digital solutions.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eA data-driven foundation for key business functions\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cb\u003eStrategy \u0026amp; corporate development\u003c\/b\u003e: Inform strategic planning and market positioning with analysis of digital maturity levels, adoption drivers, and implementation challenges across different industries and regions.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eProduct management \u0026amp; marketing\u003c\/b\u003e: Guide product roadmaps and messaging with detailed examinations of digital solution use cases, the vendor landscape, and specific customer expectations for features and support.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eR\u0026amp;D \u0026amp; engineering leadership\u003c\/b\u003e: Direct technical development priorities with insights into customer journeys, technical challenges, and expectations for simulation models, customization tools, and embedded cybersecurity.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eMarket intelligence \u0026amp; competitive analysis\u003c\/b\u003e: Benchmark offerings and identify market opportunities using the structured breakdown of the technology vendor landscape by region, industry, and digital solution.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eKey concepts defined\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cb\u003eIndustrial drives\u003c\/b\u003e: The report focuses on electrical drives, which are hardware units that control and regulate the motion of an electric motor by managing its speed, torque, and direction. They function as the “brain” of a larger drive system that converts electrical energy into mechanical energy.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eSimulation\u003c\/b\u003e: The use of software tools to create a virtual model of a drive system. This model allows for testing the drive’s behavior under various operating conditions without needing to test on a physical system.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eCustomization\u003c\/b\u003e: The use of specialized software tools to adapt and optimize drive operations according to the unique requirements of each customer, including performance profiles and control interfaces.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eReliability \u0026amp; uptime\u003c\/b\u003e: The set of integration-, operation-, and maintenance-related activities that are critical to ensuring the highest level of drive availability and utilization.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eCybersecurity\u003c\/b\u003e: The deployment of security measures such as secure boot, encrypted telemetry, access controls, and intrusion detection to defend industrial drives against cyber threats.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cspan style=\"color: rgb(34, 34, 34); font-size: 21px; font-weight: 700;\"\u003eTable of Contents\u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eDigitalization of Industrial Drives – Adoption Report 2025 (PDF)\u003c\/b\u003e\u003c\/p\u003e\u003col\u003e\n\u003cli\u003eExecutive Summary\u003c\/li\u003e\n\u003cli\u003eIntroduction\u003c\/li\u003e\n\u003cli\u003eState of digitalization of industrial drives\u003c\/li\u003e\n\u003cli\u003eIndustrial drive vendors\u003c\/li\u003e\n\u003cli\u003eDigital solutions deep dive\u003col\u003e\n\u003cli\u003eSimulation\u003c\/li\u003e\n\u003cli\u003eCustomization\u003c\/li\u003e\n\u003cli\u003eReliability and uptime\u003c\/li\u003e\n\u003cli\u003eCybersecurity\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003c\/li\u003e\n\u003cli\u003eCustomer expectations\u003c\/li\u003e\n\u003cli\u003eMethodology\u003c\/li\u003e\n\u003cli\u003eAbout IoT Analytics\u003c\/li\u003e\n\u003c\/ol\u003e\u003ch3\u003eCompanies mentioned\u003c\/h3\u003e\u003cp\u003e\u003cstrong\u003eA selection of companies mentioned in the report.\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eABB  Bosch Rexroth  CUIR Corrugated machinery  Century Aluminum  Danfoss  GE Vernova\u003c\/p\u003e\u003cp\u003eJämkraft  LuxFly  Rivoira Group  Rockwell Automation  SANY  SEW-Eurodrive  Siemens  Straub Cosmetics  Tenaris Wind to Energy GmbH4\u003c\/p\u003e","brand":"IOT Analytics","offers":[{"title":"Single User License","offer_id":50506641670214,"sku":"IOTANALYTICS29","price":195000.0,"currency_code":"INR","in_stock":true},{"title":"Team User License","offer_id":50506641702982,"sku":"IOTANALYTICS29-2","price":243750.0,"currency_code":"INR","in_stock":true},{"title":"Enterprise Premium License","offer_id":50506641735750,"sku":"IOTANALYTICS29-3","price":390000.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0754\/2797\/1142\/files\/digitalization-of-industrial-drives-adoption-report-2025.png?v=1791612978"},{"product_id":"software-defined-vehicles-adoption-report-2026","title":"Software-defined Vehicles Adoption Report 2026","description":"\u003cp\u003e\u003cspan style=\"color: rgb(34, 34, 34); font-size: 24px; font-weight: 700;\"\u003eQuestions answered\u003c\/span\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eWhat is a \u003cb\u003esoftware-defined vehicle \u003c\/b\u003e(definition), and which stakeholders treat \u003cb\u003eSDV as a strategic priority\u003c\/b\u003e?\u003c\/li\u003e\n\u003cli\u003eWhich \u003cb\u003ecomponents of the automotive technology stack\u003c\/b\u003e are foundational to SDV development and operations?\u003c\/li\u003e\n\u003cli\u003eWhat types of \u003cb\u003ezonal architecture \u003c\/b\u003eare emerging, and what are its \u003cb\u003ebenefits and adoption challenges\u003c\/b\u003e?\u003c\/li\u003e\n\u003cli\u003eHow valuable is \u003cb\u003eAI\u003c\/b\u003e expected to be across SDV lifecycle?\u003c\/li\u003e\n\u003cli\u003eWhat are \u003cb\u003eSDV cybersecurity risks\u003c\/b\u003e and \u003cb\u003emitigation \u003c\/b\u003eapproaches?\u003c\/li\u003e\n\u003cli\u003eWhat are the \u003cb\u003eSDV adoption strategies\u003c\/b\u003e of OEMs and suppliers?\u003c\/li\u003e\n\u003cli\u003eWhat are the key \u003cb\u003etrends and challenges \u003c\/b\u003ein SDV adoption?\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eCompanies mentioned\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eA selection of companies mentioned in the report.\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eARM  AWS  Aptiv  BMW  BYD  Bosch  Continental  Google  Mercedez-Benz  Microsoft  NVIDIA  NXP  Nio  Nissan  \u003c\/p\u003e\u003cp\u003eQualcomm  Rivian  Siemens Tesla  Volkswagen  Volvo\u003c\/p\u003e\u003ch3\u003eAbout the report\u003c\/h3\u003e\u003cp\u003eThe automotive industry is transitioning from hardware-centric engineering to a software-first approach, fundamentally altering vehicle architecture, development processes, and the driver experience. This shift to Software-Defined Vehicles (SDVs) enables continuous feature updates, centralized computing, and new monetization models through subscription-based services. However, it also introduces complexities in organizational structure, cybersecurity risks, and the integration of multi-system software stacks.\u003c\/p\u003e\u003cp\u003eThe \u003cb\u003eSoftware-Defined Vehicle (SDV) Adoption Report 2026\u003c\/b\u003e provides a comprehensive analysis of the SDV landscape, detailing the adoption strategies of major OEMs and Tier-1 suppliers. It examines the market through multiple technical and strategic lenses: the evolution of electrical\/electronic (E\/E) architectures, the composition of the 8-layer software stack, the role of Artificial Intelligence (AI) in development, and the regulatory frameworks governing vehicle security.\u003c\/p\u003e\u003cp\u003eThe findings in this report rely on a survey of \u003cb\u003e86\u003c\/b\u003e automotive executives from OEMs and suppliers, conducted in early \u003cb\u003e2025\u003c\/b\u003e, alongside \u003cb\u003e20+\u003c\/b\u003e in-depth expert interviews. The research also incorporates insights from major industry events such as \u003cb\u003eAutoShanghai 2025\u003c\/b\u003e and \u003cb\u003eIAA Mobility 2025\u003c\/b\u003e.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e\u003c\/strong\u003e\u003cb\u003eKey areas of analysis\u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cb\u003eIntroduction to SDVs:\u003c\/b\u003e Defines the SDV as a vehicle built with a software-first approach across four dimensions: vehicle architecture, cloud integration, software-driven engineering, and lifecycle management. It outlines the shift from distributed ECUs to centralized computing.  \u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eVehicle architectures\u003c\/b\u003e: Details the transition from domain-based to zonal E\/E architectures. The section analyzes the benefits of zonal designs, such as weight reduction and simplified wiring, while addressing barriers like skill gaps and high upfront costs.  \u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eThe SDV software stack\u003c\/b\u003e: Dissects the reference automotive tech stack into 8 layers, including the hardware \u0026amp; E\/E platform, middleware, and application layers. It evaluates key frameworks such as AUTOSAR Adaptive and Eclipse SDV, and deep-dives into vehicle platforms like MB.OS and Tesla OS.  \u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eRole and adoption of AI:\u003c\/b\u003e Analyzes the value of AI across the V-model development process. Data indicates that the overwhelming majority of OEMs see the greatest value for AI in software development and validation. The section also covers Generative AI applications in code generation and requirements engineering.  \u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eSecurity and regulations\u003c\/b\u003e: Examines the expanded attack surface of SDVs, identifying five primary attack vectors including ECU exploitation and OTA vulnerabilities. It outlines compliance requirements with standards such as ISO 21434 and UN R155\/R156.  \u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eOEM and supplier adoption strategies\u003c\/b\u003e: Contrasts the approaches of tech-native players like Tesla and Nio against traditional incumbents. It highlights that European OEMs prioritize SDVs significantly more aggressively than their APAC counterparts.  \u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eTrends and challenges:\u003c\/b\u003e Identifies macro trends such as the adoption of cloud-native development pipelines and the modularization of software stacks. It also addresses challenges like consumer pushback on subscription models and the shortage of software engineering talent.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003e\u003cspan style=\"color: rgb(51, 51, 51); font-size: 16px;\"\u003e\u003c\/span\u003e\u003c\/h3\u003e\u003cp\u003e\u003cb\u003eA data-driven foundation for key business functions\u003c\/b\u003e  \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eStrategy \u0026amp; corporate development\u003c\/strong\u003e: Align strategic roadmaps with the shift toward zonal architectures, which a vast majority of competitors are adopting, and assess investment priorities where 45% of OEMs classify SDVs as their top strategic goal.  \u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eProduct management: \u003c\/strong\u003eInform feature roadmaps by analyzing the adoption of specific SDV capabilities; for instance, a significant majority of new vehicles sold in 2024 possessed Software-Over-The-Air (SOTA) capabilities.  \u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eR\u0026amp;D \u0026amp; engineering leadership:\u003c\/strong\u003e Direct resource allocation based on industry priorities, noting that software accounts for the leading share of SDV budgets. Evaluate the utility of AI, as a clear majority of peers expect it to be critical for ADAS simulation.  Market intelligence: Assess the competitive landscape by reviewing the platform strategies of major players like BMW, Stellantis, Nissan, and BYD, and understanding the friction points between OEMs and suppliers regarding “white-box” code sharing\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cspan style=\"color: rgb(34, 34, 34); font-size: 24px; font-weight: 700;\"\u003eKey concepts defined\u003c\/span\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cb\u003eSoftware-Defined Vehicle (SDV):\u003c\/b\u003e An automobile engineered with a software-first approach, where core functions (control, connectivity, user experience) and development processes are primarily defined by software rather than hardware.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eZonal Architecture:\u003c\/b\u003e An E\/E architecture that groups Electronic Control Units (ECUs) by their physical location (zones) within the vehicle rather than by function, connecting them to central computing units to simplify wiring and processing.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eVehicle Platform:\u003c\/b\u003e An end-to-end software ecosystem (e.g., \u003cb\u003eMB.OS\u003c\/b\u003e, \u003cb\u003eVW.OS\u003c\/b\u003e) that manages hardware, enables real-time control, supports OTA updates, and provides a development environment for applications.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eOver-the-Air (OTA):\u003c\/b\u003e The capability to download and install software and firmware updates remotely, managing the lifecycle of vehicle software without physical dealership visits.\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003eHigh-Performance Computing (HPC):\u003c\/b\u003e Centralized computing units within the vehicle that process complex, data-intensive workloads such as AI, ADAS, and cross-domain functions.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003c\/p\u003e\u003ch3\u003e\u003c\/h3\u003e","brand":"IOT Analytics","offers":[{"title":"Single User License","offer_id":50506739908678,"sku":"IOTANALYTICS30","price":292500.0,"currency_code":"INR","in_stock":true},{"title":"Team User License","offer_id":50506739941446,"sku":"IOTANALYTICS30-2","price":390000.0,"currency_code":"INR","in_stock":true},{"title":"Enterprise Premium License","offer_id":50506739974214,"sku":"IOTANALYTICS30-3","price":585000.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0754\/2797\/1142\/files\/software-defined-vehicles-adoption-report-2026.png?v=1791613294"},{"product_id":"mes-market-report-2025-2031","title":"MES Market Report 2025-2031","description":"\u003cp\u003eThe MES Market Report 2025-2031 provides a global market analysis of Manufacturing Execution Systems (MES), covering market sizing, forecasts, technology stack evolution, and the vendor landscape.\u003c\/p\u003e\n\u003cp\u003eThe global MES market reached \u003cstrong\u003e$5.5 billion in 2024\u003c\/strong\u003e and is forecast to reach \u003cstrong\u003e$8.7 billion by 2031\u003c\/strong\u003e. Data indicates that 54.4% of small- and medium-sized manufacturers still rely on manual methods, such as pen and paper or spreadsheets. Legacy methods are being replaced as users can now start small with modular MES architectures and scale as their needs evolve. This report details the transition to modular MES architectures enabled by IT\/OT convergence. It defines 11 novel capabilities, foremost among them Generative AI (GenAI), Unified Namespace (UNS), and Digital Twin integration.\u003c\/p\u003e\n\u003ch3\u003eKey data snapshot\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003e2024 market size:\u003c\/strong\u003e $5.5 billion\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e2031 forecast:\u003c\/strong\u003e $8.7 billion (CAGR +7%)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eKey players:\u003c\/strong\u003e Körber, Rockwell Automation, Siemens, Applied Materials, SAP, Honeywell, ABB, Dassault Systèmes, Schneider Electric\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003eCompetitive landscape \u0026amp; market structure\u003c\/h3\u003e\n\u003cp\u003eThe market remains fragmented, comprising over 300 vendors. Leadership varies by industry vertical:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003ePharmaceuticals:\u003c\/strong\u003e Körber\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAutomotive \u0026amp; Food\/Beverage:\u003c\/strong\u003e Rockwell Automation\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eElectronics:\u003c\/strong\u003e Siemens\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSemiconductors:\u003c\/strong\u003e Applied Materials\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003eKey trends\u003c\/h3\u003e\n\u003cp\u003eManufacturers replacing manual systems with modern MES platforms demonstrate double-digit gains in yield and efficiency. Case studies in this report detail implementation strategies, including CEAT (46% scrap reduction), TDK Electronics, and Sonaca. The analysis also outlines the foundational functions (Work Orders, Scheduling, Tracking, OEE) serving as the primary enablers for digital transformation.\u003c\/p\u003e\n\u003ch3\u003eKey questions addressed\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003eWhat is MES (e.g., definition), how does it compare to MOM and how has it evolved?\u003c\/li\u003e\n\u003cli\u003eWhat are the core components and new additions in the MES tech stack?\u003c\/li\u003e\n\u003cli\u003eWhat MES deployment options exist and what are some of the upcoming architectures?\u003c\/li\u003e\n\u003cli\u003eWhat is the global MES market size?\u003c\/li\u003e\n\u003cli\u003eWho are the leading MES vendors and what are their market shares?\u003c\/li\u003e\n\u003cli\u003eWhat major trends are shaping the MES market in the years to come?\u003c\/li\u003e\n\u003cli\u003eWhat are the key challenges for MES vendors and MES users today?\u003c\/li\u003e\n\u003cli\u003eWhat actionable recommendations can benefit MES vendors and users?\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003eWhat's inside\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003e1. Executive summary\u003c\/strong\u003e — including analyst opinion: 5 things that stood out in the research\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e2. Introduction\u003c\/strong\u003e — definition of MES\/MOM and the basics of MOM and MES\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e3. Technology overview\u003c\/strong\u003e — MES reference technology stack, \"The core 4\", 11 novel capabilities of modern MES, comparison with PLM\/ERP\/SCADA, hosting architectures, and a future vision of agentic AI in MES\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e4. Market size \u0026amp; outlook\u003c\/strong\u003e — global MES market, top 20 vendors (2024), market by industry and by region, and the effect of Industrial AI on the MES market\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e5. Competitive landscape\u003c\/strong\u003e — key company profiles: Siemens, Rockwell, Dassault Systèmes, Critical Manufacturing, Sepasoft\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e6. Case studies\u003c\/strong\u003e — CEAT, TDK Electronics, SPM, Sonaca, plus the vendor selection process\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e7. Trends\u003c\/strong\u003e — 7 trends shaping the market\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e8. Challenges\u003c\/strong\u003e — MES vendor challenges and MES user challenges\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e9. Recommendations\u003c\/strong\u003e — 17 actionable recommendations collected from industry experts, for vendors and for users\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e10. Methodology\u003c\/strong\u003e — MES definition and research methodology\u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003e11. About IoT Analytics\u003c\/strong\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003eReport details\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003ePages:\u003c\/strong\u003e 163\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDocument type:\u003c\/strong\u003e PDF, XLSX, PPTX\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePublished:\u003c\/strong\u003e December 2025\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMain author:\u003c\/strong\u003e Anand Taparia\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePublisher:\u003c\/strong\u003e IoT Analytics\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"IOT Analytics","offers":[{"title":"Single User License","offer_id":50689512276038,"sku":"IOTANALYTICS31","price":292500.0,"currency_code":"INR","in_stock":true},{"title":"Team User License","offer_id":50689512308806,"sku":"IOTANALYTICS31-2","price":390000.0,"currency_code":"INR","in_stock":true},{"title":"Enterprise Premium License","offer_id":50689512341574,"sku":"IOTANALYTICS31-3","price":585000.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0754\/2797\/1142\/files\/IOTANALYTICS31-ai-cover.webp?v=1792551335"},{"product_id":"data-center-equipment-infrastructure-market-report-2025-2030","title":"Data Center Equipment \u0026 Infrastructure Market Report 2025-2030","description":"\u003cp\u003eThe Data Center Equipment \u0026amp; Infrastructure Market Report 2025-2030 analyzes the market for data center equipment, including market size, competitive landscape, key trends and challenges, and more.\u003c\/p\u003e\n\u003cp\u003eGenerative AI demand correlates with an increase in capital expenditure, resulting in a global Data Center Equipment \u0026amp; Infrastructure market value of \u003cstrong\u003e$290 billion in 2024\u003c\/strong\u003e. Based on investment allocations from hyperscalers, the market is forecast to reach \u003cstrong\u003e$1.01 trillion by 2030\u003c\/strong\u003e.\u003c\/p\u003e\n\u003cp\u003eThis report outlines the two core segments of the ecosystem:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eIT Infrastructure (78% of the market):\u003c\/strong\u003e servers, storage, and networking hardware\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eFacility Infrastructure (12% of the market):\u003c\/strong\u003e power, cooling, security, and cabling systems\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003eKey data snapshot\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003e2024 market size:\u003c\/strong\u003e $290 billion\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e2030 forecast:\u003c\/strong\u003e $1.01 trillion (CAGR +23%)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eKey players:\u003c\/strong\u003e Foxconn, Schneider Electric, Dell\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003eKey trends \u0026amp; market leaders\u003c\/h3\u003e\n\u003cp\u003eHigh-density AI clusters require specific thermal management strategies. Data indicates an adoption of liquid-to-liquid cooling technologies to address the thermal output of modern racks. Concurrently, NVIDIA influences the wider ecosystem, as its MGX platform specifications align with product roadmaps for power and cooling vendors.\u003c\/p\u003e\n\u003cp\u003eRegarding market share, infrastructure spending flows primarily to Foxconn for server manufacturing and Schneider Electric for power and cooling. Dell maintains a position in IT hardware. This report details granular market share data for these players and 50 others. It further analyzes supply chain constraints, foremost among them grid capacity limits.\u003c\/p\u003e\n\u003ch3\u003eKey questions addressed\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003eWhat is a data center, and what types of data centers exist?\u003c\/li\u003e\n\u003cli\u003eWhat is behind the recent data center spending uptick?\u003c\/li\u003e\n\u003cli\u003eWhat building blocks are used to build data centers?\u003c\/li\u003e\n\u003cli\u003eWhat is the size of the data center infrastructure market by infrastructure type (7 types of infrastructure analyzed) and what is the projection until 2030?\u003c\/li\u003e\n\u003cli\u003eWhat are the market shares of leading data center facility infrastructure vendors (by type of equipment: electrical systems, cooling systems, cabling infrastructure, security \u0026amp; fire protection systems)?\u003c\/li\u003e\n\u003cli\u003eWhat are the market shares of leading IT infrastructure vendors for data centers (by type of infrastructure: servers, networking, storage)?\u003c\/li\u003e\n\u003cli\u003eWhat are the key trends in the data center space?\u003c\/li\u003e\n\u003cli\u003eWhat are the key challenges in the data center space?\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003eWhat's inside\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003e1. Executive summary\u003c\/strong\u003e — including analyst takeaways: 3 things that stood out in the analysis\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e2. Introduction\u003c\/strong\u003e — data center investment as a central theme, (generative) AI as the main driver of computing demand, and the 3 main types of data centers\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e3. Technology overview\u003c\/strong\u003e — IT infrastructure (servers, AI servers, networking, storage) and facility infrastructure (electrical systems, cooling and liquid cooling, cabling, security \u0026amp; fire protection)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e4. Market size \u0026amp; outlook\u003c\/strong\u003e — global market by region and infrastructure type, with deep dives on the server, networking, storage, electrical systems, cooling systems, cabling, and security \u0026amp; fire protection markets\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e5. Competitive landscape\u003c\/strong\u003e — vendor landscape and market shares, top 10 IT and facility infrastructure vendors, a primer on how NVIDIA impacts the landscape, and company deep dives including Foxconn, Dell, HPE, Supermicro, Schneider Electric, Vertiv, Eaton, and Siemens\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e6. Deep-dive: Colocation data centers\u003c\/strong\u003e — reliability tiers and analysis of colocation providers including Equinix and Digital Realty\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e7. Trends \u0026amp; challenges\u003c\/strong\u003e — 6 trends and 5 challenges\u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003e8. Methodology \u0026amp; market definitions\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003e9. About IoT Analytics\u003c\/strong\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003eReport details\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003ePages:\u003c\/strong\u003e 186\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDocument type:\u003c\/strong\u003e PDF, XLSX, PPTX\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePublished:\u003c\/strong\u003e November 2025\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMain author:\u003c\/strong\u003e Philipp Wegner\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePublisher:\u003c\/strong\u003e IoT Analytics\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"IOT Analytics","offers":[{"title":"Single User License","offer_id":50689512374342,"sku":"IOTANALYTICS32","price":292500.0,"currency_code":"INR","in_stock":true},{"title":"Team User License","offer_id":50689512407110,"sku":"IOTANALYTICS32-2","price":390000.0,"currency_code":"INR","in_stock":true},{"title":"Enterprise Premium License","offer_id":50689512439878,"sku":"IOTANALYTICS32-3","price":585000.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0754\/2797\/1142\/files\/IOTANALYTICS32-ai-cover.webp?v=1792551365"},{"product_id":"industry-4-0-case-studies-from-leading-manufacturers-2025","title":"Industry 4.0 Case Studies from Leading Manufacturers 2025","description":"\u003cp\u003eA 130-page report providing an in-depth look at how companies like Ford, Siemens Energy, and Michelin are advancing smart manufacturing in the era of Industrial AI.\u003c\/p\u003e\n\u003cp\u003eThe Industry 4.0 Case Studies from Leading Manufacturers 2025 Report is part of IoT Analytics' ongoing coverage of smart manufacturing topics. This report offers an in-depth look into the real-world digital transformation projects of 10 leading industrial companies, highlighting some of the most advanced and impactful projects. Drawing from insights shared directly by key project stakeholders at these companies, this document showcases practical implementations and their tangible outcomes. The information presented is based on detailed case study presentations from these profiled companies between August 2023 and December 2024. Each case study includes thorough details about the implementations, as told and prioritized by the companies themselves.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eThe main purpose of this document is to help readers understand concrete examples of current digital transformation projects, including key implementation details and best practices learned.\u003c\/strong\u003e\u003c\/p\u003e\n\u003ch3\u003eKey themes\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003eData architecture \u0026amp; connectivity\u003c\/li\u003e\n\u003cli\u003eAnalytics \u0026amp; AI\u003c\/li\u003e\n\u003cli\u003eAutomation \u0026amp; process transformation\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003eQuestions answered\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003eWhat are the smart manufacturing \u003cstrong\u003epriorities\u003c\/strong\u003e of some of the leading manufacturers as they go through their digital transformation?\u003c\/li\u003e\n\u003cli\u003eWhat \u003cstrong\u003etechnical architectures and systems\u003c\/strong\u003e are being implemented (e.g., data architecture)?\u003c\/li\u003e\n\u003cli\u003eWhat are some of the \u003cstrong\u003eorganizational and business details\u003c\/strong\u003e of the 10 implementations?\u003c\/li\u003e\n\u003cli\u003eWhat were the \u003cstrong\u003emeasurable outcomes\u003c\/strong\u003e of the projects?\u003c\/li\u003e\n\u003cli\u003eWhat are some of the practical applications and \u003cstrong\u003euse cases of AI\u003c\/strong\u003e, including GenAI?\u003c\/li\u003e\n\u003cli\u003eWhat are the \u003cstrong\u003ekey takeaways\u003c\/strong\u003e from each case study that can be applied to other manufacturers?\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003eWhat's inside\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003e1. Overview\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003e2. Introduction to Industry 4.0\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e3. Case studies\u003c\/strong\u003e — data architecture \u0026amp; connectivity (Gousto, Midea, Rehrig Pacific, Siemens Energy, Carbon pricing, Sonaca); analytics \u0026amp; AI (Georgia-Pacific); automation \u0026amp; process transformation (Ford, Roche, Boeing)\u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003e4. About IoT Analytics\u003c\/strong\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003eEach case study includes\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eCompany information\u003c\/strong\u003e — company name, industry, headquarter location, revenue, number of employees\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eHigh-level overview\u003c\/strong\u003e — name of the initiative, mission, project summary, main technology providers\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eImplementation overview\u003c\/strong\u003e — key elements, key results\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eKey takeaways\u003c\/strong\u003e and supporting \u003cstrong\u003eexpert quotes\u003c\/strong\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003eCompanies mentioned\u003c\/h3\u003e\n\u003cp\u003eBoeing, Carbon pricing, Ford, Georgia-Pacific, Gousto, Midea, Rehrig Pacific, Roche, Siemens Energy, Sonaca\u003c\/p\u003e\n\u003ch3\u003eReport details\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003ePages:\u003c\/strong\u003e 130\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDocument type:\u003c\/strong\u003e PDF, PPTX\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePublished:\u003c\/strong\u003e July 2025\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMain author:\u003c\/strong\u003e Zeynep Kaman\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePublisher:\u003c\/strong\u003e IoT Analytics\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"IOT Analytics","offers":[{"title":"Single User License","offer_id":50689512472646,"sku":"IOTANALYTICS33","price":195000.0,"currency_code":"INR","in_stock":true},{"title":"Team User License","offer_id":50689512505414,"sku":"IOTANALYTICS33-2","price":243750.0,"currency_code":"INR","in_stock":true},{"title":"Enterprise Premium License","offer_id":50689512538182,"sku":"IOTANALYTICS33-3","price":390000.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0754\/2797\/1142\/files\/IOTANALYTICS33-ai-cover.webp?v=1792551378"},{"product_id":"generative-ai-agentic-ai-market-report-2026-2032","title":"Generative AI \u0026 Agentic AI Market Report 2026-2032","description":"\u003cp\u003eA 283-page report sizing the generative \u0026amp; agentic AI market to 2032, including vendor market shares, enterprise use cases, adoption, and trends.\u003c\/p\u003e\n\u003ch3\u003eMarket overview\u003c\/h3\u003e\n\u003cp\u003eIoT Analytics research indicates that the global Generative AI \u0026amp; Agentic AI market reached \u003cstrong\u003e$308 billion in 2025\u003c\/strong\u003e. Based on enterprise adoption metrics and technology investment allocations, the market is forecast to reach \u003cstrong\u003e$4.4 trillion by 2032\u003c\/strong\u003e, representing a compound annual growth rate (CAGR) of 46% between 2025 and 2032. Enterprise adoption reached mainstream levels in 2025, with 88% of surveyed organizations utilizing generative AI technologies. Market expansion correlates with an operational transition from human-prompted assistance toward autonomous agentic workflows that execute multi-step processes under human oversight.\u003c\/p\u003e\n\u003cp\u003eThis report outlines the five core segments comprising the technology stack:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eAI Accelerators:\u003c\/strong\u003e GPUs, TPUs, LPUs, and custom ASICs used for model training and inference\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAI Cloud \u0026amp; Platforms:\u003c\/strong\u003e rented compute infrastructure, model development environments, runtime operations, and agent orchestration layers\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAI Services:\u003c\/strong\u003e strategy consulting, system integration, custom agent design, and managed services\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAI Applications:\u003c\/strong\u003e end-user software including chatbots, coding tools, and domain-specific enterprise applications\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eFoundation Models:\u003c\/strong\u003e API usage, fine-tuning, and private model deployments\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003eKey data snapshot\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003e2025 market size:\u003c\/strong\u003e $308 billion\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e2032 forecast:\u003c\/strong\u003e $4.4 trillion\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eKey players:\u003c\/strong\u003e AMD, AWS, Accenture, Alibaba Cloud, Anthropic, Capgemini, Google, Intel, Microsoft, Mistral, Nvidia, OpenAI\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003eKey trends \u0026amp; market leaders\u003c\/h3\u003e\n\u003cp\u003eMulti-step agentic workloads require repeated model calls, tool interactions, and memory retrieval, making inference the dominant cost driver across AI infrastructure. Data indicates that multi-step reasoning workflows consume up to 20x the amount of inference compute for every unit of training compute. Concurrently, open standards such as the Model Context Protocol (MCP) and Agent-to-Agent (A2A) protocols are establishing common interfaces to connect AI applications, enterprise data sources, and independent software agents. Parallel to this, enterprises are increasing the deployment of specialized small language models (SLMs) to reduce latency and contain token consumption costs.\u003c\/p\u003e\n\u003cp\u003eRegarding market share, infrastructure spending flows primarily to NVIDIA for AI accelerators and Microsoft for AI cloud and platforms. Within software and foundation models, leadership in 2025 was held by OpenAI for foundation models and AI applications, alongside Accenture for AI services. Data for H1 2026 indicates that Anthropic expanded its foundation model market share, driven by API adoption across coding and reasoning workloads.\u003c\/p\u003e\n\u003ch3\u003eWhat is in this report?\u003c\/h3\u003e\n\u003cp\u003eThis 283-page analysis published in September 2026 details granular market sizing across 5 tracked segments and 15 industry verticals, an empirical analysis of 1,533 enterprise AI projects, competitive market shares across all stack layers, 7 enterprise case studies, and an evaluation of implementation blockers, security concerns, and financial bubble risks.\u003c\/p\u003e\n\u003ch3\u003eKey questions addressed\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003eWhat is GenAI and agentic AI, how are they connected, and what are the technological components?\u003c\/li\u003e\n\u003cli\u003eWhich use cases are enterprises prioritizing, and how autonomous are deployments becoming?\u003c\/li\u003e\n\u003cli\u003eWhat is the current market size, and how is the market expected to grow to 2032?\u003c\/li\u003e\n\u003cli\u003eHow large are the 5 tracked segments (AI accelerators, foundation models, AI cloud \u0026amp; platforms, AI applications, AI services), and how is the segment mix shift expected to develop?\u003c\/li\u003e\n\u003cli\u003eWhat are the market shares of key players, and who leads in each of the 5 segments?\u003c\/li\u003e\n\u003cli\u003eWhich are the leading AI applications, and which application categories grow fastest?\u003c\/li\u003e\n\u003cli\u003eHow are leading enterprises deploying GenAI and agentic AI?\u003c\/li\u003e\n\u003cli\u003eWhat are the important implementation considerations and adoption blockers?\u003c\/li\u003e\n\u003cli\u003eWhat are the current and next trends — from inference costs to MCP\/A2A and AI regulation?\u003c\/li\u003e\n\u003cli\u003eAre we in an AI bubble? 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AI accelerators\u003c\/strong\u003e — types and capabilities, training vs. inference chips, and leading companies including NVIDIA, AMD, Broadcom, Intel, and Cerebras\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e6. Foundation models\u003c\/strong\u003e — transformer architecture, open models, small language models, and leading companies including OpenAI and Anthropic\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e7. AI cloud \u0026amp; platforms\u003c\/strong\u003e — the platform stack, GPU cloud platforms, agentic development and orchestration platforms, and key players Microsoft, AWS, and GCP\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e8. AI applications\u003c\/strong\u003e — market size, top applications, horizontal categories and industry verticals\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e9. AI services\u003c\/strong\u003e — enterprise spending, market shares, and key players Accenture, IBM, and Deloitte\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e10. End-user adoption\u003c\/strong\u003e — analysis of GenAI \u0026amp; agentic AI projects by department, activity, industry, and autonomy, with 7 enterprise adoption examples\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e11. Market \u0026amp; technology trends\u003c\/strong\u003e — 8 key trends\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e12. Adoption challenges \u0026amp; AI bubble risk\u003c\/strong\u003e — implementation challenges and an assessment of enterprise ROI, capability expectations, CapEx payback, and equity valuations\u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003e13. Methodology \u0026amp; market definitions\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003e14. 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