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1841555

區塊鏈人工智慧市場－全球產業規模、佔有率、趨勢、機會和預測，按組件、技術、最終用戶產業、地區和競爭細分，2020-2030 年

Blockchain AI Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Component, By Technology, By End-User Industry, By Region & Competition, 2020-2030F
出版日期: | 出版商: TechSci Research | 英文 185 Pages | 商品交期: 2-3個工作天內

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簡介目錄

2024 年全球區塊鏈人工智慧市場價值為 6.1276 億美元，預計到 2030 年將達到 17.434 億美元，預測期內複合年成長率為 18.86%。

市場概況
預測期 2026-2030
2024年市場規模 6.1276億美元
2030年市場規模 17.434億美元
2025-2030年複合年成長率 18.86%
成長最快的領域 自然語言處理
最大的市場 北美洲

區塊鏈人工智慧市場是指區塊鏈技術與人工智慧的融合，以實現安全、透明和去中心化的資料處理、共享和決策。這種融合充分利用了兩種技術的優勢——區塊鏈的不可篡改帳本和去中心化架構，以及人工智慧處理大量資料和提取可行洞察的能力。在這個市場中，人工智慧可以透過預測網路擁塞、最佳化共識機制中的能耗以及自動化智慧合約來提高區塊鏈效率；而區塊鏈則透過確保資料來源、透過去中心化資料來源減少偏見以及提高決策演算法的透明度來增強人工智慧能力。受資料安全需求不斷成長、業務流程自動化應用日益普及以及去中心化金融和數位身分管理興起的推動，預計未來幾年該市場將大幅成長。金融服務、醫療保健、物流和供應鏈產業是最早採用區塊鏈人工智慧解決方案的產業之一，它們使用區塊鏈人工智慧解決方案進行詐欺檢測、安全的資料共享和高效的資產追蹤。

此外，隨著企業專注於增強對人工智慧決策的信任，區塊鏈的可追溯性和防篡改記錄將變得越來越有價值。政府和監管機構也在探索使用這些技術進行安全的數位身分驗證、公共衛生資料追蹤和跨境合規。 Web3 和去中心化應用程式的興起進一步刺激了對可在區塊鏈環境中運行的可擴展且安全的人工智慧模型的需求。隨著邊緣運算、聯邦學習和標記化資料市場的快速發展，區塊鏈人工智慧將成為下一代資料生態系統的關鍵推動者。主要技術供應商和區塊鏈平台擴大建立合作夥伴關係，以推出解決互通性、隱私和信任問題的混合解決方案。隨著該領域的創投和研發加速，預計市場將經歷強勁的年複合成長率，創造新的收入來源並轉變各行各業的傳統商業模式。

關鍵市場促進因素

增強資料安全性和完整性

主要市場挑戰

區塊鏈與人工智慧系統之間的整合複雜性

主要市場趨勢

區塊鏈與人工智慧的整合複雜性

目錄

第 1 章：產品概述

第2章：研究方法

第3章：執行摘要

第4章：顧客之聲

第5章：全球區塊鏈人工智慧市場展望

  • 市場規模和預測
    • 按價值
  • 市場佔有率和預測
    • 按組件（平台/工具、服務）
    • 按技術（機器學習、自然語言處理、情境感知計算、電腦視覺）
    • 按最終用戶產業（銀行、金融服務和保險、醫療保健和生命科學、零售和電子商務、資訊科技和電信、汽車、媒體和娛樂、政府、製造業、其他）
    • 按地區（北美、歐洲、南美、中東和非洲、亞太地區）
  • 按公司分類（2024 年）
  • 市場地圖

第6章：北美區塊鏈人工智慧市場展望

  • 市場規模和預測
  • 市場佔有率和預測
  • 北美：國家分析
    • 美國
    • 加拿大
    • 墨西哥

第7章：歐洲區塊鏈人工智慧市場展望

  • 市場規模和預測
  • 市場佔有率和預測
  • 歐洲：國家分析
    • 德國
    • 法國
    • 英國
    • 義大利
    • 西班牙

第8章：亞太區塊鏈人工智慧市場展望

  • 市場規模和預測
  • 市場佔有率和預測
  • 亞太地區：國家分析
    • 中國
    • 印度
    • 日本
    • 韓國
    • 澳洲

第9章：中東和非洲區塊鏈人工智慧市場展望

  • 市場規模和預測
  • 市場佔有率和預測
  • 中東和非洲：國家分析
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 南非

第10章：南美洲區塊鏈人工智慧市場展望

  • 市場規模和預測
  • 市場佔有率和預測
  • 南美洲：國家分析
    • 巴西
    • 哥倫比亞
    • 阿根廷

第 11 章：市場動態

  • 驅動程式
  • 挑戰

第 12 章：市場趨勢與發展

  • 合併與收購（如有）
  • 產品發布（如有）
  • 最新動態

第13章：公司簡介

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

第 14 章：策略建議

第15章調查會社について,免責事項

簡介目錄
Product Code: 30370

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.

Market Overview
Forecast Period2026-2030
Market Size 2024USD 612.76 Million
Market Size 2030USD 1743.40 Million
CAGR 2025-203018.86%
Fastest Growing SegmentNatural Language Processing
Largest MarketNorth America

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