The blockchain AI market size is expected to see exponential growth in the next few years. It will grow to $2.38 billion in 2030 at a compound annual growth rate (CAGR) of 27.7%. The growth in the forecast period can be attributed to enterprise demand for secure AI systems, growth of decentralized data marketplaces, adoption of AI enabled smart contracts, expansion of edge AI use cases, regulatory focus on transparent ai. Major trends in the forecast period include AI driven smart contracts, decentralized AI models, secure data sharing platforms, blockchain based model training, explainable AI on blockchain.
The rising cyber threats are expected to drive the growth of the blockchain AI market in the coming years. Cyber threats are potential risks posed by malicious activities that can compromise data through various tactics targeting computer systems, networks, and digital information. Blockchain AI technology helps mitigate these threats by enabling secure user authentication, eliminating reliance on traditional password systems vulnerable to breaches, and providing users with a unique, immutable digital identity on the blockchain. For example, in October 2024, Check Point Software Technologies Ltd., an Israel-based cybersecurity company, reported that in the U.S., cyberattacks increased by 56% year-over-year, with an average of 1,300 attacks per organization weekly, 10% higher than the previous quarter. Consequently, the rise in cyber threats is fueling the blockchain AI market.
Major companies in the blockchain AI market are concentrating on introducing advanced solutions, such as blockchain-powered data marketplaces, to maintain their competitive edge. A blockchain-powered data marketplace is a platform that leverages blockchain technology to enable the secure and transparent exchange of data. For example, in June 2024, DigiLion, an India-based boutique technology consulting and development agency specializing in blockchain and AI solutions, launched what it claims to be the world's fastest blockchain, capable of processing over 3 million transactions per second (TPS). This remarkable speed is achieved through advanced parallel transaction processing, allowing the system to handle multiple transactions simultaneously, significantly enhancing throughput and operational efficiency.
In June 2023, Sweden-based textile and apparel company Blk Dnm successfully acquired ChromaWay in a deal of undisclosed value. This strategic move by ChromaWay is geared towards the seamless integration of blockchain capabilities, marking a transformative phase for the company as it prepares to reposition itself as a luxury label. As part of this rebranding initiative, ChromaWay plans to unveil a new logo, elevate its aesthetic appeal, and implement a revamped retail strategy. The company is set to disclose the technological specifics before the launch of its upcoming collection, underscoring its commitment to leveraging blockchain and AI technologies in the fashion industry. ChromaWay, originally a Stockholm-based blockchain AI firm, now aligns itself with Blk Dnm's vision for innovation and luxury in the textile and apparel sector.
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.
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. The countries covered in the blockchain AI market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
Tariffs have impacted the blockchain AI market by increasing costs of imported high performance computing hardware, GPUs, and advanced servers required for AI workloads. These effects are strongest in on premise deployments and in regions dependent on imported compute infrastructure such as Asia Pacific and North America. Higher costs have delayed some enterprise projects. At the same time, tariffs have driven adoption of cloud based AI blockchain platforms, optimized resource usage, and accelerated innovation in decentralized computing models.
The blockchain AI market research report is one of a series of new reports that provides blockchain AI market statistics, including blockchain AI industry global market size, regional shares, competitors with a blockchain AI market share, detailed blockchain AI market segments, market trends and opportunities, and any further data you may need to thrive in the blockchain AI industry. This blockchain AI market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.
Blockchain operates as a decentralized computer network storing data in a transparent, unchangeable ledger, showcasing a chronological sequence of events. On the other hand, Artificial Intelligence (AI) involves machines programmed to simulate human intelligence, allowing them to think and imitate human actions. The convergence of Blockchain and AI is an inevitable trend due to the synergy between technology, data, and value. Blockchain ensures secure data storage and sharing, while AI leverages data analysis to derive insights and create value from the available information.
The primary technologies employed in blockchain AI integration encompass computer vision, machine learning (ML), and natural language processing (NLP). This convergence of technologies finds application across various sectors including BFSI (Banking, Financial Services, and Insurance), telecom and IT, healthcare and life sciences, manufacturing, media and environmental sectors, automotive industries, and other diverse fields. The implementation of blockchain AI is utilized for smart contracts, payment systems, data security enhancement, logistics and supply chain management, as well as optimizing business processes within these sectors.
The blockchain AI market includes revenues earned by entities by providing software tools to store and distribute organizational data in distributed immutable ledger systems using AI models to enhance the data security of organizations. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
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Table of Contents
Executive Summary
Blockchain AI Market Global Report 2026 provides strategists, marketers and senior management with the critical information they need to assess the market.This report focuses blockchain AI market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
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Description
Where is the largest and fastest growing market for blockchain AI? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The blockchain AI market global report answers all these questions and many more.The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.
- The market characteristics section of the report defines and explains the market. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
- The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
- The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
- The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
- The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
- The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
- The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
- The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
- Market segmentations break down the market into sub markets.
- The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
- Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
- The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
- The company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.
Report Scope
Markets Covered:
1) By Technology: Computer Vision; Machine Learning (ML); Natural Language Processing (NLP); Other Technologies2) 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 Detection2) 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
Companies Mentioned: 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.
Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain
Regions: Asia-Pacific; South East Asia; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time Series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita.
Data Segmentation: Country and regional historic and forecast data, market share of competitors, market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Delivery Format: Word, PDF or Interactive Report + Excel Dashboard
Added Benefits:
- Bi-Annual Data Update
- Customisation
- Expert Consultant Support
Companies Mentioned
The companies featured in this Blockchain AI market report include:- 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.
Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 250 |
| Published | February 2026 |
| Forecast Period | 2026 - 2030 |
| Estimated Market Value ( USD | $ 0.9 Billion |
| Forecasted Market Value ( USD | $ 2.38 Billion |
| Compound Annual Growth Rate | 27.7% |
| Regions Covered | Global |
| No. of Companies Mentioned | 22 |


