2026 Global: Blockchain Artificial Intelligence (Ai) Market-Competitive Review (2032) report
Description
The 2026 Global: Blockchain Artificial Intelligence (Ai) Market-Competitive Review (2031) report features the global market size and projected growth/decline data for the period 2021 through 2032. The report primarily provides an examination of the business strategies for the ten largest global companies in the market and how their strategies differ.
Perry/Hope Partners' reports provide the most accurate industry forecasts based on our proprietary economic models. Our forecasts project the product market size nationally and by regions for 2021 to 2032 using regression analysis in our modeling. and Perry/Hope is the only market research publisher that utilizes both longitudinal (historical) and vertical (from market section to market division to market class) analysis, since we study every manufactured product in the countries we analyze. The report also provides written analysis on the market definition, market segments, and SWOT analysis (market strengths, weaknesses, opportunities, and threats).
The market study aims at estimating the market size and the growth potential of this market. Topics analyzed within the report include a detailed breakdown of the global markets for blockchain artificial intelligence (ai) market by geography and historical trend. The scope of the report extends to sizing of the blockchain artificial intelligence (ai) market market and global market trends with market data for 2024 as the base year, 2025 and 2026 as the estimate years with projection of CAGR from 2027 to 2032.
The report also features a list of the top ten largest global players in the market. A review of each company includes 1) an estimate of the market share, 2) a listing of the products and/or services in the market, and 3) the features of these products and/or services in the market. The report has a chapter on Comparative Business Strategies for the largest four players. An example of the Comparative Business Strategies analysis would be -- How does Netflix's business strategy to expand its market share in the global online streaming compare to Amazon Prime's business strategy through its video products and services?
The ten market players in this report and a brief synopsis of their participation in the market are:
IBM leads the Blockchain AI market as a foundational player, pioneering enterprise blockchain through Hyperledger Fabric while integrating AI for advanced analytics and secure data processing in permissioned networks. Microsoft follows closely with Azure Blockchain Service, combining Quorum-based BaaS with AI-driven confidential ledgers and decentralized trust frameworks to enable tamperproof data storage and intelligent applications. Alphabet, via Google Cloud's Blockchain Node Engine, invests heavily in Web3 infrastructure, merging blockchain analytics with AI for Ethereum node hosting and scalable decentralized development. JPMorgan Chase dominates financial blockchain via its Kinexys platform, processing trillions in transactions enhanced by AI for risk assessment and real-time settlement optimization. Accenture excels in multiparty blockchain systems, leveraging AI for digital identity, contract lifecycle management on R3 Corda, and data-sharing solutions hosted on Azure.
Alibaba powers the market through Alibaba Cloud's BaaS platform, supporting Hyperledger Fabric and AntChain, which processes billions of daily transactions fused with AI and IoT for logistics, payments, and supply chain finance. LeewayHertz stands out for end-to-end blockchain solutions enriched with AI, specializing in high-performance crypto wallets featuring predictive analytics, behavioral tracking, biometric verification, and enterprise-grade security. SoluLab delivers tailored AI-blockchain integrations across Ethereum, Solana, and NEAR, focusing on secure wallets, DeFi, supply chain, and healthcare with AI-driven efficiency and cost reductions. Antier Solutions drives innovation in AI crypto wallets and Web3 ecosystems, embedding smart notifications, predictive spending, and dynamic asset recommendations for intuitive, ROI-focused digital infrastructures. ScienceSoft engineers AI-enhanced wallets with fraud prediction, smart recovery, and adaptive interfaces, drawing on decades of software expertise for scalable fintech solutions.
Appinventiv provides AI-enriched crypto wallets with automated investment suggestions, risk profiling, and smart alerts, serving global clients through robust blockchain portfolios and user-centric designs. Blockchain App Factory offers comprehensive AI wallet development, leveraging blockchain experience for predictive patterns, enterprise resilience, and flexible models in intelligent asset management. ConsenSys advances Ethereum infrastructure with AI-compatible tools for decentralized protocols, supporting developers in building transparent, efficient blockchain applications. These companies collectively shape the Blockchain AI landscape by fusing decentralized ledgers with machine learning for secure, predictive, and scalable innovations across finance, supply chains, and Web3 ecosystems, positioning them as market frontrunners in 2025.
Perry/Hope Partners' reports provide the most accurate industry forecasts based on our proprietary economic models. Our forecasts project the product market size nationally and by regions for 2021 to 2032 using regression analysis in our modeling. and Perry/Hope is the only market research publisher that utilizes both longitudinal (historical) and vertical (from market section to market division to market class) analysis, since we study every manufactured product in the countries we analyze. The report also provides written analysis on the market definition, market segments, and SWOT analysis (market strengths, weaknesses, opportunities, and threats).
The market study aims at estimating the market size and the growth potential of this market. Topics analyzed within the report include a detailed breakdown of the global markets for blockchain artificial intelligence (ai) market by geography and historical trend. The scope of the report extends to sizing of the blockchain artificial intelligence (ai) market market and global market trends with market data for 2024 as the base year, 2025 and 2026 as the estimate years with projection of CAGR from 2027 to 2032.
The report also features a list of the top ten largest global players in the market. A review of each company includes 1) an estimate of the market share, 2) a listing of the products and/or services in the market, and 3) the features of these products and/or services in the market. The report has a chapter on Comparative Business Strategies for the largest four players. An example of the Comparative Business Strategies analysis would be -- How does Netflix's business strategy to expand its market share in the global online streaming compare to Amazon Prime's business strategy through its video products and services?
The ten market players in this report and a brief synopsis of their participation in the market are:
IBM leads the Blockchain AI market as a foundational player, pioneering enterprise blockchain through Hyperledger Fabric while integrating AI for advanced analytics and secure data processing in permissioned networks. Microsoft follows closely with Azure Blockchain Service, combining Quorum-based BaaS with AI-driven confidential ledgers and decentralized trust frameworks to enable tamperproof data storage and intelligent applications. Alphabet, via Google Cloud's Blockchain Node Engine, invests heavily in Web3 infrastructure, merging blockchain analytics with AI for Ethereum node hosting and scalable decentralized development. JPMorgan Chase dominates financial blockchain via its Kinexys platform, processing trillions in transactions enhanced by AI for risk assessment and real-time settlement optimization. Accenture excels in multiparty blockchain systems, leveraging AI for digital identity, contract lifecycle management on R3 Corda, and data-sharing solutions hosted on Azure.
Alibaba powers the market through Alibaba Cloud's BaaS platform, supporting Hyperledger Fabric and AntChain, which processes billions of daily transactions fused with AI and IoT for logistics, payments, and supply chain finance. LeewayHertz stands out for end-to-end blockchain solutions enriched with AI, specializing in high-performance crypto wallets featuring predictive analytics, behavioral tracking, biometric verification, and enterprise-grade security. SoluLab delivers tailored AI-blockchain integrations across Ethereum, Solana, and NEAR, focusing on secure wallets, DeFi, supply chain, and healthcare with AI-driven efficiency and cost reductions. Antier Solutions drives innovation in AI crypto wallets and Web3 ecosystems, embedding smart notifications, predictive spending, and dynamic asset recommendations for intuitive, ROI-focused digital infrastructures. ScienceSoft engineers AI-enhanced wallets with fraud prediction, smart recovery, and adaptive interfaces, drawing on decades of software expertise for scalable fintech solutions.
Appinventiv provides AI-enriched crypto wallets with automated investment suggestions, risk profiling, and smart alerts, serving global clients through robust blockchain portfolios and user-centric designs. Blockchain App Factory offers comprehensive AI wallet development, leveraging blockchain experience for predictive patterns, enterprise resilience, and flexible models in intelligent asset management. ConsenSys advances Ethereum infrastructure with AI-compatible tools for decentralized protocols, supporting developers in building transparent, efficient blockchain applications. These companies collectively shape the Blockchain AI landscape by fusing decentralized ledgers with machine learning for secure, predictive, and scalable innovations across finance, supply chains, and Web3 ecosystems, positioning them as market frontrunners in 2025.
Table of Contents
32 Pages
- 1.0 Scope of Report and Methodology
- 2.0 Market SWOT Analysis and Players
- 2.1 Market Definition
- 2.2 Market Segments
- 2.3 Market Strengths
- 2.4 Market Weaknesses
- 2.5 Market Threats
- 2.6 Market Opportunities
- 2.7 Major Players
- 3.0 Competitive Analysis
- 3.1 Market Player 1
- 3.2 Market Player 2
- 3.3 Market Player 3
- 3.4 Market Player 4
- 3.5 Market Player 5
- 3.6 Market Player 6
- 3.7 Market Player 7
- 3.8 Market Player 8
- 3.9 Market Player 9
- 3.10 Market Player 10
- 4.0 Comparative Business Strategies
- 4.1 Comparative Business Strategies of Player 1 and 2
- 4.2 Comparative Business Strategies of Player 1 and 3
- 4.3 Comparative Business Strategies of Player 1 and 4
- 4.4 Comparative Business Strategies of Player 2 and 3
- 4.5 Comparative Business Strategies of Player 2 and 4
- 4.6 Comparative Business Strategies of Player 3 and 4
- 5.0 Appendix
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