Through market attractiveness analysis, total addressable market evaluation, company benchmarking matrices, interactive Excel dashboards, expanded supply chain intelligence, emerging startup coverage, and detailed product insights, The Business Research Company’s 2026 market reports provide more actionable and strategically valuable research.
#Blockchain AI Market Value Analysis: What Growth Is Expected Over The Forecast Period?#_x000D_
The blockchain AI market has demonstrated considerable exponential growth over recent years. It is forecast to increase from $0.7 billion in 2025 to $0.9 billion in 2026, achieving a compound annual growth rate (CAGR) of 27.8%. The expansion observed in the historic period can be attributed to the rising adoption of AI, the requirements for blockchain data security, initial convergence pilot projects, the need for trusted AI outputs, and the surge in data-driven automation._x000D_
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The blockchain AI market is anticipated to undergo significant expansion in the coming years. Projections indicate it will reach $2.38 billion by 2030, growing at a compound annual growth rate (CAGR) of 27.7%. This growth over the forecast period is primarily driven by enterprise demand for robust AI security, the proliferation of decentralized data marketplaces, the widespread adoption of AI-enabled smart contracts, the broadening scope of edge AI applications, and increasing regulatory attention on transparent AI. Key trends during this period are expected to include AI-driven smart contracts, decentralized AI models, secure data sharing platforms, blockchain-based model training, and explainable AI on blockchain._x000D_
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#Blockchain AI Market Growth Factors: Which Forces Are Supporting Market Expansion?_x000D_
The expansion of the blockchain AI market is projected to be fueled by an escalation in cyber threats. These threats encompass potential hazards or dangers stemming from malevolent actions intended to corrupt data through diverse methods and strategies targeting digital information, networks, and computer systems. Blockchain AI technology offers a solution to counter cyber threats by enabling secure user authentication, thereby removing the requirement for conventional password systems prone to security breaches. This allows users to establish an immutable, distinct digital identity on the blockchain. As an illustration, data from Check Point Software Technologies Ltd., an Israel-based cybersecurity firm, revealed that in October 2024, cyberattacks in the U.S. had increased by 56% annually. This amounted to a weekly average of 1,300 attacks per organization, representing a 10% rise compared to the preceding quarter. Consequently, the increasing prevalence of cyber threats is fueling the expansion of the blockchain AI market._x000D_
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#Blockchain AI Market Segment Performance And Strategic Opportunities#_x000D_
The blockchain AI market covered in this report is segmented – _x000D_
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1) By Technology: Computer Vision, Machine Learning (ML), Natural Language Processing (NLP), Other Technologies_x000D_
2) By Vertical: Banking, Financial Services, And Insurance, Telecom And IT, Healthcare And Life Science, Manufacturing, Media And Environment, Automotive, Other Verticals_x000D_
3) By Application: Smart Contract, Payment, Data Security, Logistics And Supply Chain Management, Business Process Optimization, Other Applications_x000D_
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Subsegments:_x000D_
1) By Computer Vision: Image Recognition, Video Analysis, Object Detection _x000D_
2) By Machine Learning (ML): Supervised Learning, Unsupervised Learning, Reinforcement Learning _x000D_
3) By Natural Language Processing (NLP): Sentiment Analysis, Chatbots And Virtual Assistants, Text Analytics _x000D_
4) By Other Technologies: Robotics, Predictive Analytics, Edge Computing_x000D_
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#Blockchain AI Market Industry Trends Shaping Future Revenue Growth#_x000D_
Major companies within the blockchain AI market are concentrating on implementing advanced solutions, such as a blockchain-powered data marketplace, to uphold their market presence. A blockchain-powered data marketplace operates as a platform that utilizes blockchain technology to enable the secure and transparent exchange of data. For instance, in June 2024, DigiLion, an India-based boutique technology consulting and development agency specializing in blockchain and AI solutions, introduced what it asserts to be the world’s fastest blockchain, capable of processing over 3 million transactions per second (TPS). This notable speed is achieved via advanced parallel transaction processing, allowing the system to manage several transactions simultaneously, thereby considerably boosting throughput and operational efficiency._x000D_
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#Blockchain AI Market Key Players: Which Companies Shape Industry Competition?#_x000D_
Major companies operating in the blockchain AI market are Microsoft Corp.; IBM Corp.; Oracle Corp.; Salesforce Inc.; Fidelity Information Services LLC; CertiK; Core Scientific Inc.; Figure Technologies Inc.; SandboxAQ; NetObjex Inc.; Cyware Labs Pvt. Ltd.; Bext Holdings Inc.; Neurochain Tech; Fetch.AI; Solidus Labs; BurstIQ Inc.; Token Metrics Media LLC; Blackbird.AI; AnChain.Ai; Verisart Inc.; Petuum Inc. _x000D_
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#Blockchain AI Market Geographic Analysis: Where Is Demand Growing The Fastest?#_x000D_
North America was the largest region in the blockchain AI market in 2025. Asia-Pacific is expected to be the fastest growing region in the forecast period. The regions covered in the blockchain AI market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa._x000D_
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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.
