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Generative AI In IoT Market Value Analysis: What Growth Is Expected Over The Forecast Period?
The data availability layer market size has experienced significant, rapid expansion in recent years. This market is projected to grow from $1.97 billion in 2025 to $2.41 billion in 2026, maintaining a compound annual growth rate (CAGR) of 22.4%. The historical increase in size can be attributed to the rising adoption of blockchain, a demand for transparent transaction records, initial scalability limitations found in base layers, the proliferation of decentralized applications, and growing validator participation.
The market size for the data availability layer is projected to experience rapid expansion over the coming years. This market is anticipated to reach $5.36 billion by 2030, exhibiting a compound annual growth rate (CAGR) of 22.1%. Factors contributing to this growth within the projection period include the expansion of the rollup ecosystem, the need for economical settlement layers, enhanced security demands for DA, increased enterprise integration of blockchain networks, and the proliferation of cross-chain applications. Key developments anticipated during this time frame encompass the embrace of modular blockchain architectures, expedited rollup and layer-2 scaling, broader data availability sampling, the integration of decentralized storage, and increased cross-chain interoperability.
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#Generative AI In IoT Market Growth Drivers And Industry Catalysts
The escalating threat of cyberattacks is anticipated to stimulate the expansion of the data availability layer market moving forward. Cyberattacks refer to deliberate attempts by hackers or malicious actors to infiltrate computer systems or networks to steal data, disrupt operations, or cause damage. This threat is intensifying as the swift digitalization of businesses and services has increased the volume of sensitive data and critical systems online, making them more vulnerable to exploitation by increasingly sophisticated hackers. A robust data availability layer aids in preventing cyberattacks by ensuring all blockchain data is accessible and verifiable, whereas any vulnerabilities in it could be exploited to disrupt data access or delay transaction verification. For instance, in November 2024, according to the Australian Cyber Security Centre, an Australia-based government agency, in FY2023-24, the Australian Cyber Security Hotline managed by ASD received more than 36,700 calls, marking a 12% increase compared to the previous financial year. Therefore, the growing threat of cyberattacks is driving the growth of the data availability layer market.
Generative AI In IoT Market Categorization By Product Type And Application
The generative AI in iot market covered in this report is segmented –
1) By Technology Providers: Established AI Technology Companies, IoT Platform Providers, Cloud Service Providers, Specialized Generative AI Startups
2) By Deployment Mode: On Device, Cloud Based
3) By Application: Anomaly Detection, Predictive Maintenance, Adaptive Control, Resource Optimization, Personalized Services, Contextual Decision Making
4) By Industry Vertical: Manufacturing, Healthcare, Transportation, Agriculture, Other Industries
Subsegments:
1) By Established AI Technology Companies: Major AI Solution Providers, Global Tech Enterprises, AI-Focused Research Labs, AI Hardware Providers
2) By IoT Platform Providers: End-to-End IoT Platform Vendors, IoT Device Management Providers, Edge Computing Platform Providers, Connectivity Management Solutions
3) By Cloud Service Providers: Cloud Infrastructure Providers, Cloud-Based AI And ML Service Providers, Hybrid Cloud Solution Providers
4) By Specialized Generative AI Startups: Niche AI Startups Focused On IoT Integration, Emerging AI-Driven IoT Solutions Companies, Vertical-Specific AI Startups, Edge AI And Analytics Startups
Generative AI In IoT Market Trends: What Is Shaping Future Industry Growth?
Leading companies operating in the data availability layer market are concentrating on creating sophisticated solutions, including specialized data availability (DA) layers, with the goal of bolstering secure, efficient, and cost-effective data storage, boosting transaction processing capacity, and underpinning the scalability and reliability of blockchain and decentralized applications. These dedicated data availability (DA) layers function as unique network elements, guaranteeing that transaction and smart contract information is safely stored, readily available, and verifiable, thereby improving scalability and dependability in blockchain frameworks. As an example, in November 2023, the NEAR Foundation, a non-profit organization located in Switzerland, introduced NEAR DA, a specialized Data Availability (DA) layer created to offer secure, scalable, and economical data storage for Ethereum rollups and developers. It presents an alternative mechanism for storing calldata, rendering the posting of 100 kB of data roughly 8,000 times more economical than on Ethereum Layer 1, which substantially lowers expenses for scaling Ethereum applications. This layer capitalizes on the NEAR Protocol’s superior uptime and robust security, facilitating Ethereum modular blockchain development and simultaneously making projects such as app-chains and Layer 2 solutions more economical and dependable.
Generative AI In IoT Market Company Landscape And Strategic Competition
Major companies operating in the generative AI in iot market are Google LLC, Microsoft Corporation, Dell Technologies Inc., Bosch Group, Huawei Technologies Co. Ltd., Amazon Web Services Inc. (AWS), Siemens AG, General Electric Company (GE), Intel Corporation, Accenture plc, International Business Machines Corporation (IBM), Cisco Systems Inc., Qualcomm Incorporated, Oracle Corporation, Schneider Electric SE, Honeywell International Inc., SAP SE, Fujitsu Limited, NVIDIA Corporation, Keysight Technologies Inc, Fortinet, Inc, Hitachi Vantara LLC, PTC Inc., Palantir Technologies Inc., Temenos AG, C3.AI Inc.
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Generative AI In IoT Market Regional Analysis And Leading Geography
North America was the largest region in the generative AI in IoT market in 2025. The regions covered in the generative AI in iot market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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Wasay has over a decade of experience in market research, data modelling, and analytics, with prior experience at GlobalData and Decision Tree Consulting Services. At The Business Research Company , he leads research operations across syndicated studies, customized consulting engagements, and the Global Market Model platform. His professional experience includes supporting organizations such as Boston Consulting Group, KPMG, and Ernst & Young. Wasay holds a degree in Electronics and Communications Engineering, postgraduate management qualifications from International Management Institute Belgium and Indian School of Business and Entrepreneurship, and completed the Integrated Program in Business Analytics from Indian Institute of Management Indore.