Built to provide research that’s more actionable and strategically valuable, The Business Research Company’s 2026 market reports include market attractiveness analysis, total addressable market sizing, company benchmarking matrices, interactive Excel dashboards, broader supply chain intelligence, emerging startup tracking, and in-depth product insights.
Blockchain AI Market Size Forecast: How Big Could The Market Get By 2030?
The blockchain AI market size has seen significant expansion in recent years. It is projected to grow from $0.7 billion in 2025 to $0.9 billion in 2026, achieving a compound annual growth rate (CAGR) of 27.8%. Historically, this growth can be attributed to various factors including the increased adoption of AI, the need for blockchain data security, early initiatives in convergence, the demand for reliable AI outputs, and the development of data-driven automation.
The blockchain AI market is projected to experience rapid expansion in the coming years. Its valuation is set to reach $2.38 billion by 2030, demonstrating a compound annual growth rate (CAGR) of 27.7%. This anticipated growth can be linked to several factors, including businesses’ need for robust AI systems, the rise of decentralized platforms for data exchange, the integration of AI into smart contracts, the increasing deployment of edge AI applications, and heightened regulatory attention on AI transparency. Key developments expected during this timeframe involve AI-powered smart contracts, AI models operating in decentralized environments, platforms for secure data sharing, the use of blockchain for training AI models, and the development of explainable AI on blockchain.
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Blockchain AI Market Development Factors: What’s Supporting Demand?
The future growth of the blockchain AI market is expected to be propelled by an increase in cyber threats. These threats refer to potential dangers or risks arising from malicious activities aimed at damaging data through various tactics targeting computer systems, networks, and digital information. Blockchain AI technology offers a solution to prevent these cyber threats by ensuring secure user authentication, thereby eliminating the need for conventional password systems that are susceptible to breaches, and allowing users to establish a unique, immutable digital identity on the blockchain. For instance, in October 2024, Check Point Software Technologies Ltd., an Israel-based cybersecurity company, reported that cyberattacks in the U.S. had surged by 56% year-over-year, with organizations experiencing a weekly average of 1,300 attacks, marking a 10% rise from the preceding quarter. Therefore, the growing number of cyber threats is a significant driver for the expansion of the blockchain AI market.
Blockchain AI Market Segment Performance And Emerging Opportunities
The blockchain AI market covered in this report is segmented –
1) By Technology: Computer Vision, Machine Learning (ML), Natural Language Processing (NLP), Other Technologies
2) By Vertical: Banking, Financial Services, And Insurance, Telecom And IT, Healthcare And Life Science, Manufacturing, Media And Environment, Automotive, Other Verticals
3) By Application: Smart Contract, Payment, Data Security, Logistics And Supply Chain Management, Business Process Optimization, Other Applications
Subsegments:
1) By Computer Vision: Image Recognition, Video Analysis, Object Detection
2) By Machine Learning (ML): Supervised Learning, Unsupervised Learning, Reinforcement Learning
3) By Natural Language Processing (NLP): Sentiment Analysis, Chatbots And Virtual Assistants, Text Analytics
4) By Other Technologies: Robotics, Predictive Analytics, Edge Computing
Blockchain AI Market Transformation Trends: What Innovations Are Driving Change?
Leading companies operating within the blockchain AI market are concentrating on introducing sophisticated solutions, such as a blockchain-powered data marketplace, to maintain their position. A blockchain-powered data marketplace is a platform that employs 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, recently unveiled what it claims to be the world’s fastest blockchain, capable of processing over 3 million transactions per second (TPS). This remarkable speed is accomplished through advanced parallel transaction processing, which allows the system to handle multiple transactions simultaneously, significantly enhancing throughput and operational efficiency.
Blockchain AI Market Key Players: Which Companies Lead Industry Competition?
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.
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Blockchain AI Market Largest Region: Which Geography Holds The Biggest Share?
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.
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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.
