区块链人工智慧市场－全球产业规模、份额、趋势、机会和预测，按组件、技术、最终用户产业、地区和竞争细分，2020-2030 年

2024 年全球区块链人工智慧市场价值为 6.1276 亿美元，预计到 2030 年将达到 17.434 亿美元，预测期内复合年增长率为 18.86%。

区块链人工智慧市场是指区块链技术与人工智慧的融合，以实现安全、透明和去中心化的资料处理、共享和决策。这种融合充分利用了两种技术的优势——区块链的不可篡改帐本和去中心化架构，以及人工智慧处理大量资料和提取可行洞察的能力。在这个市场中，人工智慧可以透过预测网路拥塞、优化共识机制中的能耗以及自动化智慧合约来提高区块链效率；而区块链则透过确保资料来源、透过去中心化资料来源减少偏见以及提高决策演算法的透明度来增强人工智慧能力。受资料安全需求不断增长、业务流程自动化应用日益普及以及去中心化金融和数位身分管理兴起的推动，预计未来几年该市场将大幅成长。金融服务、医疗保健、物流和供应链产业是最早采用区块链人工智慧解决方案的产业之一，它们使用区块链人工智慧解决方案进行诈欺检测、安全的资料共享和高效的资产追踪。

此外，随着企业专注于增强对人工智慧决策的信任，区块链的可追溯性和防篡改记录将变得越来越有价值。政府和监管机构也在探索使用这些技术进行安全的数位身分验证、公共卫生资料追踪和跨境合规。 Web3 和去中心化应用程式的兴起进一步刺激了对可在区块链环境中运行的可扩展且安全的人工智慧模型的需求。随着边缘运算、联邦学习和标记化资料市场的快速发展，区块链人工智慧将成为下一代资料生态系统的关键推动者。主要技术供应商和区块链平台越来越多地建立合作伙伴关係，以推出解决互通性、隐私和信任问题的混合解决方案。随着该领域的创投和研发加速，预计市场将经历强劲的年复合成长率，创造新的收入来源并转变各行各业的传统商业模式。

关键市场驱动因素

增强资料安全性和完整性

主要市场挑战

区块链与人工智慧系统之间的整合复杂性

主要市场趋势

区块链与人工智慧的整合复杂性

目录

第 1 章：产品概述

第二章：研究方法

第三章：执行摘要

第四章：顾客之声

第五章：全球区块链人工智慧市场展望

• 市场规模和预测
  • 按价值
• 市场占有率和预测
  • 按组件（平台/工具、服务）
  • 按技术（机器学习、自然语言处理、情境感知计算、电脑视觉）
  • 按最终用户产业（银行、金融服务和保险、医疗保健和生命科学、零售和电子商务、资讯科技和电信、汽车、媒体和娱乐、政府、製造业、其他）
  • 按地区（北美、欧洲、南美、中东和非洲、亚太地区）
• 按公司分类（2024 年）
• 市场地图

第六章：北美区块链人工智慧市场展望

• 市场规模和预测
• 市场占有率和预测
• 北美：国家分析
  • 美国
  • 加拿大
  • 墨西哥

第七章：欧洲区块链人工智慧市场展望

• 市场规模和预测
• 市场占有率和预测
• 欧洲：国家分析
  • 德国
  • 法国
  • 英国
  • 义大利
  • 西班牙

第八章：亚太区块链人工智慧市场展望

• 市场规模和预测
• 市场占有率和预测
• 亚太地区：国家分析
  • 中国
  • 印度
  • 日本
  • 韩国
  • 澳洲

第九章：中东和非洲区块链人工智慧市场展望

• 市场规模和预测
• 市场占有率和预测
• 中东和非洲：国家分析
  • 沙乌地阿拉伯
  • 阿联酋
  • 南非

第十章：南美洲区块链人工智慧市场展望

• 市场规模和预测
• 市场占有率和预测
• 南美洲：国家分析
  • 巴西
  • 哥伦比亚
  • 阿根廷

第 11 章：市场动态

• 驱动程式
• 挑战

第 12 章：市场趋势与发展

• 合併与收购（如有）
• 产品发布（如有）
• 最新动态

第十三章：公司简介

• IBM Corporation
• Microsoft Corporation
• Google LLC
• Amazon Web Services, Inc.
• Oracle Corporation
• Intel Corporation
• SAP SE
• Cortex Labs
• Fetch.ai
• SingularityNET

第 14 章：策略建议

第15章调查会社について・免责事项

The Global Blockchain AI Market was valued at USD 612.76 million in 2024 and is expected to reach USD 1743.40 million by 2030 with a CAGR of 18.86% during the forecast period.

The Blockchain Artificial Intelligence Market refers to the integration of blockchain technology with artificial intelligence to enable secure, transparent, and decentralized data processing, sharing, and decision-making. This convergence leverages the strengths of both technologies-blockchain's immutable ledger and decentralized structure, and artificial intelligence's ability to process large volumes of data and extract actionable insights. In this market, artificial intelligence can improve blockchain efficiency by predicting network congestions, optimizing energy consumption in consensus mechanisms, and automating smart contracts, while blockchain enhances artificial intelligence capabilities by ensuring data provenance, reducing bias through decentralized data sources, and increasing transparency in decision-making algorithms. The market is expected to rise significantly in the coming years, driven by growing demand for data security, increased adoption of automation in business processes, and the rise of decentralized finance and digital identity management. The financial services, healthcare, logistics, and supply chain sectors are among the earliest adopters, using blockchain artificial intelligence solutions for fraud detection, secure data sharing, and efficient asset tracking.

Moreover, as businesses focus on enhancing trust in artificial intelligence decisions, blockchain's traceability and tamper-proof records will become increasingly valuable. Governments and regulatory bodies are also exploring the use of these technologies for secure digital identity verification, public health data tracking, and cross-border compliance. The rise of Web3 and decentralized applications further fuels demand for scalable and secure artificial intelligence models that can function within blockchain environments. With rapid advancements in edge computing, federated learning, and tokenized data marketplaces, blockchain artificial intelligence will become a key enabler of next-generation data ecosystems. Major technology providers and blockchain platforms are increasingly forming partnerships to launch hybrid solutions that address issues of interoperability, privacy, and trust. As venture capital investment and research and development in this space accelerate, the market is expected to experience a strong compound annual growth rate, creating new revenue streams and transforming traditional business models across industries.

Key Market Drivers

Enhanced Data Security and Integrity

The Blockchain Artificial Intelligence Market is driven by the critical need for enhanced data security and integrity across industries, as organizations handle vast amounts of sensitive data in AI-driven applications. Blockchain's decentralized and immutable ledger ensures tamper-proof data storage, addressing vulnerabilities in traditional centralized systems that are prone to breaches and manipulation. By integrating artificial intelligence with blockchain, businesses can secure AI training datasets, model outputs, and decision-making processes, ensuring transparency and trust.

This synergy is vital in sectors like finance, healthcare, and supply chain, where data breaches can lead to significant financial and reputational losses. Artificial intelligence enhances blockchain's security by enabling real-time threat detection and predictive analytics to identify potential vulnerabilities, while blockchain provides a verifiable audit trail for artificial intelligence decisions. This combination mitigates risks associated with data tampering and unauthorized access, fostering trust among stakeholders.

sAs organizations increasingly rely on artificial intelligence for automation and insights, the demand for secure, decentralized data management solutions grows, driving investments in blockchain artificial intelligence platforms to protect intellectual property, customer data, and operational integrity in a rapidly digitizing world.

In 2024, global data breaches exposed over 3.5 billion records, with 68% involving sensitive AI training data. Blockchain-based systems reduced data tampering incidents by 40% in pilot projects. By 2026, 75% of enterprises using artificial intelligence are expected to adopt blockchain for data integrity, with cybersecurity spending projected to reach USD200 billion, reflecting a 25% annual increase in demand for secure blockchain artificial intelligence solutions.

Key Market Challenges

Integration Complexity Between Blockchain and Artificial Intelligence Systems

One of the most significant challenges confronting the Blockchain Artificial Intelligence Market is the complexity of integrating blockchain infrastructure with artificial intelligence architectures. Blockchain technology is inherently decentralized and immutable, designed for secure record-keeping and data transparency. On the other hand, artificial intelligence systems thrive on continuous data input, real-time learning, and frequent model updates. The contrasting operational mechanisms of these technologies often result in architectural incompatibilities when organizations attempt to merge them into a single functional framework.

For instance, the immutable nature of blockchain can conflict with the evolving models of artificial intelligence, which require constant data revision and model training. As a result, any deployment that attempts to record artificial intelligence models and training data on the blockchain may encounter limitations in performance scalability, processing latency, and data storage constraints. Furthermore, smart contracts, which are essential to blockchain functionality, are typically deterministic and may not align well with the probabilistic nature of artificial intelligence algorithms.

Additionally, interoperability between legacy systems and modern blockchain-artificial intelligence integrations is limited. Organizations may struggle to bridge the gap between centralized enterprise databases and decentralized ledgers while trying to maintain system performance and compliance. This integration difficulty can also lead to elevated development costs, delayed project implementation timelines, and higher resource allocation for workforce upskilling and system configuration.

Moreover, there is a lack of standardized protocols for ensuring secure communication between artificial intelligence engines and blockchain nodes. Enterprises must often develop proprietary middleware solutions to enable cross-platform data exchange, which adds another layer of operational complexity. Until there are unified frameworks and toolkits specifically designed to facilitate seamless integration, the implementation barrier will continue to impede the widespread adoption of blockchain-artificial intelligence solutions across multiple sectors.

Key Market Trends

Integration Complexity Between Blockchain and Artificial Intelligence

One of the foremost challenges facing the Blockchain Artificial Intelligence Market is the complexity associated with integrating blockchain technology with artificial intelligence systems. These two technologies operate on fundamentally different architectural principles. Blockchain is a decentralized, immutable ledger that emphasizes transparency and trust, whereas artificial intelligence systems are inherently centralized and rely heavily on data aggregation and computational scalability. Integrating them demands substantial customization, new protocols, and infrastructure upgrades.

Businesses often struggle with aligning their existing artificial intelligence models with blockchain-based data flows, particularly when it comes to training machine learning algorithms on decentralized data sets. Moreover, latency issues in blockchain networks can significantly impact the responsiveness of artificial intelligence applications that require real-time data processing. For instance, in financial services or predictive maintenance in manufacturing, delays in data processing could reduce the effectiveness of artificial intelligence outputs.

Additionally, developers and data scientists face a steep learning curve in understanding both domains deeply enough to implement cohesive solutions. This lack of skilled personnel exacerbates deployment timelines and increases project costs. Organizations are required to invest in cross-functional teams, combining expertise from both artificial intelligence and blockchain sectors, which further complicates project coordination.

The absence of standardized frameworks and protocols also contributes to interoperability issues, impeding widespread adoption across different industries. Consequently, until unified architectural models and standard development platforms emerge, the integration of blockchain and artificial intelligence will remain a significant technical and operational hurdle for enterprises.

Key Market Players

• IBM Corporation
• Microsoft Corporation
• Google LLC
• Amazon Web Services, Inc.
• Oracle Corporation
• Intel Corporation
• SAP SE
• Cortex Labs
• Fetch.ai
• SingularityNET

Report Scope:

In this report, the Global Blockchain AI Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Blockchain AI Market, By Component:

• Platform/Tools
• Services

Blockchain AI Market, By Technology:

• Machine Learning
• Natural Language Processing
• Context-Aware Computing
• Computer Vision

Blockchain AI Market, By End-User Industry:

• Banking, Financial Services, and Insurance
• Healthcare and Life Sciences
• Retail and E-commerce
• Information Technology and Telecom
• Automotive
• Media and Entertainment
• Government
• Manufacturing
• Others

Blockchain AI Market, By Region:

• North America
  • United States
  • Canada
  • Mexico
• Europe
  • Germany
  • France
  • United Kingdom
  • Italy
  • Spain
• South America
  • Brazil
  • Argentina
  • Colombia
• Asia-Pacific
  • China
  • India
  • Japan
  • South Korea
  • Australia
• Middle East & Africa
  • Saudi Arabia
  • UAE
  • South Africa

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global Blockchain AI Market.

Available Customizations:

Global Blockchain AI Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

• Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Product Overview

• 1.1. Market Definition
• 1.2. Scope of the Market
  • 1.2.1. Markets Covered
  • 1.2.2. Years Considered for Study
  • 1.2.3. Key Market Segmentations

2. Research Methodology

• 2.1. Objective of the Study
• 2.2. Baseline Methodology
• 2.3. Key Industry Partners
• 2.4. Major Association and Secondary Sources
• 2.5. Forecasting Methodology
• 2.6. Data Triangulation & Validation
• 2.7. Assumptions and Limitations

3. Executive Summary

• 3.1. Overview of the Market
• 3.2. Overview of Key Market Segmentations
• 3.3. Overview of Key Market Players
• 3.4. Overview of Key Regions/Countries
• 3.5. Overview of Market Drivers, Challenges, and Trends

4. Voice of Customer

5. Global Blockchain AI Market Outlook

• 5.1. Market Size & Forecast
  • 5.1.1. By Value
• 5.2. Market Share & Forecast
  • 5.2.1. By Component (Platform/Tools, Services)
  • 5.2.2. By Technology (Machine Learning, Natural Language Processing, Context-Aware Computing, Computer Vision)
  • 5.2.3. By End-User Industry (Banking, Financial Services, and Insurance, Healthcare and Life Sciences, Retail and E-commerce, Information Technology and Telecom, Automotive, Media and Entertainment, Government, Manufacturing, Others)
  • 5.2.4. By Region (North America, Europe, South America, Middle East & Africa, Asia Pacific)
• 5.3. By Company (2024)
• 5.4. Market Map

6. North America Blockchain AI Market Outlook

• 6.1. Market Size & Forecast
  • 6.1.1. By Value
• 6.2. Market Share & Forecast
  • 6.2.1. By Component
  • 6.2.2. By Technology
  • 6.2.3. By End-User Industry
  • 6.2.4. By Country
• 6.3. North America: Country Analysis
  • 6.3.1. United States Blockchain AI Market Outlook
    • 6.3.1.1. Market Size & Forecast
      • 6.3.1.1.1. By Value
    • 6.3.1.2. Market Share & Forecast
      • 6.3.1.2.1. By Component
      • 6.3.1.2.2. By Technology
      • 6.3.1.2.3. By End-User Industry
  • 6.3.2. Canada Blockchain AI Market Outlook
    • 6.3.2.1. Market Size & Forecast
      • 6.3.2.1.1. By Value
    • 6.3.2.2. Market Share & Forecast
      • 6.3.2.2.1. By Component
      • 6.3.2.2.2. By Technology
      • 6.3.2.2.3. By End-User Industry
  • 6.3.3. Mexico Blockchain AI Market Outlook
    • 6.3.3.1. Market Size & Forecast
      • 6.3.3.1.1. By Value
    • 6.3.3.2. Market Share & Forecast
      • 6.3.3.2.1. By Component
      • 6.3.3.2.2. By Technology
      • 6.3.3.2.3. By End-User Industry

7. Europe Blockchain AI Market Outlook

• 7.1. Market Size & Forecast
  • 7.1.1. By Value
• 7.2. Market Share & Forecast
  • 7.2.1. By Component
  • 7.2.2. By Technology
  • 7.2.3. By End-User Industry
  • 7.2.4. By Country
• 7.3. Europe: Country Analysis
  • 7.3.1. Germany Blockchain AI Market Outlook
    • 7.3.1.1. Market Size & Forecast
      • 7.3.1.1.1. By Value
    • 7.3.1.2. Market Share & Forecast
      • 7.3.1.2.1. By Component
      • 7.3.1.2.2. By Technology
      • 7.3.1.2.3. By End-User Industry
  • 7.3.2. France Blockchain AI Market Outlook
    • 7.3.2.1. Market Size & Forecast
      • 7.3.2.1.1. By Value
    • 7.3.2.2. Market Share & Forecast
      • 7.3.2.2.1. By Component
      • 7.3.2.2.2. By Technology
      • 7.3.2.2.3. By End-User Industry
  • 7.3.3. United Kingdom Blockchain AI Market Outlook
    • 7.3.3.1. Market Size & Forecast
      • 7.3.3.1.1. By Value
    • 7.3.3.2. Market Share & Forecast
      • 7.3.3.2.1. By Component
      • 7.3.3.2.2. By Technology
      • 7.3.3.2.3. By End-User Industry
  • 7.3.4. Italy Blockchain AI Market Outlook
    • 7.3.4.1. Market Size & Forecast
      • 7.3.4.1.1. By Value
    • 7.3.4.2. Market Share & Forecast
      • 7.3.4.2.1. By Component
      • 7.3.4.2.2. By Technology
      • 7.3.4.2.3. By End-User Industry
  • 7.3.5. Spain Blockchain AI Market Outlook
    • 7.3.5.1. Market Size & Forecast
      • 7.3.5.1.1. By Value
    • 7.3.5.2. Market Share & Forecast
      • 7.3.5.2.1. By Component
      • 7.3.5.2.2. By Technology
      • 7.3.5.2.3. By End-User Industry

8. Asia Pacific Blockchain AI Market Outlook

• 8.1. Market Size & Forecast
  • 8.1.1. By Value
• 8.2. Market Share & Forecast
  • 8.2.1. By Component
  • 8.2.2. By Technology
  • 8.2.3. By End-User Industry
  • 8.2.4. By Country
• 8.3. Asia Pacific: Country Analysis
  • 8.3.1. China Blockchain AI Market Outlook
    • 8.3.1.1. Market Size & Forecast
      • 8.3.1.1.1. By Value
    • 8.3.1.2. Market Share & Forecast
      • 8.3.1.2.1. By Component
      • 8.3.1.2.2. By Technology
      • 8.3.1.2.3. By End-User Industry
  • 8.3.2. India Blockchain AI Market Outlook
    • 8.3.2.1. Market Size & Forecast
      • 8.3.2.1.1. By Value
    • 8.3.2.2. Market Share & Forecast
      • 8.3.2.2.1. By Component
      • 8.3.2.2.2. By Technology
      • 8.3.2.2.3. By End-User Industry
  • 8.3.3. Japan Blockchain AI Market Outlook
    • 8.3.3.1. Market Size & Forecast
      • 8.3.3.1.1. By Value
    • 8.3.3.2. Market Share & Forecast
      • 8.3.3.2.1. By Component
      • 8.3.3.2.2. By Technology
      • 8.3.3.2.3. By End-User Industry
  • 8.3.4. South Korea Blockchain AI Market Outlook
    • 8.3.4.1. Market Size & Forecast
      • 8.3.4.1.1. By Value
    • 8.3.4.2. Market Share & Forecast
      • 8.3.4.2.1. By Component
      • 8.3.4.2.2. By Technology
      • 8.3.4.2.3. By End-User Industry
  • 8.3.5. Australia Blockchain AI Market Outlook
    • 8.3.5.1. Market Size & Forecast
      • 8.3.5.1.1. By Value
    • 8.3.5.2. Market Share & Forecast
      • 8.3.5.2.1. By Component
      • 8.3.5.2.2. By Technology
      • 8.3.5.2.3. By End-User Industry

9. Middle East & Africa Blockchain AI Market Outlook

• 9.1. Market Size & Forecast
  • 9.1.1. By Value
• 9.2. Market Share & Forecast
  • 9.2.1. By Component
  • 9.2.2. By Technology
  • 9.2.3. By End-User Industry
  • 9.2.4. By Country
• 9.3. Middle East & Africa: Country Analysis
  • 9.3.1. Saudi Arabia Blockchain AI Market Outlook
    • 9.3.1.1. Market Size & Forecast
      • 9.3.1.1.1. By Value
    • 9.3.1.2. Market Share & Forecast
      • 9.3.1.2.1. By Component
      • 9.3.1.2.2. By Technology
      • 9.3.1.2.3. By End-User Industry
  • 9.3.2. UAE Blockchain AI Market Outlook
    • 9.3.2.1. Market Size & Forecast
      • 9.3.2.1.1. By Value
    • 9.3.2.2. Market Share & Forecast
      • 9.3.2.2.1. By Component
      • 9.3.2.2.2. By Technology
      • 9.3.2.2.3. By End-User Industry
  • 9.3.3. South Africa Blockchain AI Market Outlook
    • 9.3.3.1. Market Size & Forecast
      • 9.3.3.1.1. By Value
    • 9.3.3.2. Market Share & Forecast
      • 9.3.3.2.1. By Component
      • 9.3.3.2.2. By Technology
      • 9.3.3.2.3. By End-User Industry

10. South America Blockchain AI Market Outlook

• 10.1. Market Size & Forecast
  • 10.1.1. By Value
• 10.2. Market Share & Forecast
  • 10.2.1. By Component
  • 10.2.2. By Technology
  • 10.2.3. By End-User Industry
  • 10.2.4. By Country
• 10.3. South America: Country Analysis
  • 10.3.1. Brazil Blockchain AI Market Outlook
    • 10.3.1.1. Market Size & Forecast
      • 10.3.1.1.1. By Value
    • 10.3.1.2. Market Share & Forecast
      • 10.3.1.2.1. By Component
      • 10.3.1.2.2. By Technology
      • 10.3.1.2.3. By End-User Industry
  • 10.3.2. Colombia Blockchain AI Market Outlook
    • 10.3.2.1. Market Size & Forecast
      • 10.3.2.1.1. By Value
    • 10.3.2.2. Market Share & Forecast
      • 10.3.2.2.1. By Component
      • 10.3.2.2.2. By Technology
      • 10.3.2.2.3. By End-User Industry
  • 10.3.3. Argentina Blockchain AI Market Outlook
    • 10.3.3.1. Market Size & Forecast
      • 10.3.3.1.1. By Value
    • 10.3.3.2. Market Share & Forecast
      • 10.3.3.2.1. By Component
      • 10.3.3.2.2. By Technology
      • 10.3.3.2.3. By End-User Industry

11. Market Dynamics

• 11.1. Drivers
• 11.2. Challenges

12. Market Trends and Developments

• 12.1. Merger & Acquisition (If Any)
• 12.2. Product Launches (If Any)
• 12.3. Recent Developments

13. Company Profiles

• 13.1. IBM Corporation
  • 13.1.1. Business Overview
  • 13.1.2. Key Revenue and Financials
  • 13.1.3. Recent Developments
  • 13.1.4. Key Personnel
  • 13.1.5. Key Product/Services Offered
• 13.2. Microsoft Corporation
• 13.3. Google LLC
• 13.4. Amazon Web Services, Inc.
• 13.5. Oracle Corporation
• 13.6. Intel Corporation
• 13.7. SAP SE
• 13.8. Cortex Labs
• 13.9. Fetch.ai
• 13.10. SingularityNET

14. Strategic Recommendations

15. About Us & Disclaimer