ブロックチェーンAI市場レポート：動向、予測、競合分析 (2031年まで)

世界のブロックチェーンAI市場は、スマートコントラクト、決済、データセキュリティ、物流・サプライチェーン管理、ビジネスプロセス最適化の各市場における機会により、将来性が期待できそうです。世界のブロックチェーンAI市場は、2025年から2031年にかけてCAGR 23.4％で成長すると予測されます。この市場の主な促進要因は、業界全体におけるデータセキュリティと透明性の強化に対する需要の増加、自動化と意思決定のためのAI機能を必要とする分散型アプリケーション（dAPP）の成長、効率性とコンプライアンスの向上を目的とした金融・医療分野での採用の拡大です。

• Lucintelの予測によると、種類別ではML（機械学習）セグメントが予測期間中に最も高い成長を遂げる見込みです。
• 用途別では、スマートコントラクトが最も高い成長が見込まれます。
• 地域別では、アジア太平洋が予測期間中に最も高い成長が見込まれます。

ブロックチェーンAI市場の戦略的成長機会

ブロックチェーンAI市場には、さまざまなアプリケーションにまたがる数多くの戦略的成長機会が存在します。これらの機会は、ブロックチェーンとAI技術の統合による様々な分野でのイノベーションと拡大の可能性を反映しています。

• 金融サービス：金融サービスにおけるブロックチェーンAIの統合は、不正検知の強化、取引の合理化、コンプライアンスの改善といった機会を提供します。このアプリケーションは、透明性と安全性を高めることで、銀行や金融を変革することができます。
• サプライチェーン管理：ブロックチェーンAIは、リアルタイムの追跡、透明性の向上、ロジスティクスの改善により、サプライチェーン業務を最適化することができます。この成長機会は、サプライチェーンにおける非効率や不正に対処し、より効果的な管理につながります。
• 医療データ管理：ブロックチェーンAIは、患者データのための安全な分散型プラットフォームを提供することで、医療データ管理に革命を起こす態勢を整えています。このアプリケーションはデータのセキュリティ、相互運用性、患者のプライバシーを強化し、医療提供全体を改善します。
• スマートコントラクト：スマートコントラクトにAIを使用することで、ブロックチェーンプラットフォーム上で、より高度で自動化されたコントラクトの実行が可能になります。この機会は効率を高め、ミスを減らし、様々な業界にわたる複雑な契約を促進します。
• サイバーセキュリティ：ブロックチェーンAIは、高度な脅威検知・対応能力を提供することで、サイバーセキュリティにおける成長機会をもたらします。このアプリケーションはデータ保護を強化し、新たなサイバー脅威に対するセキュリティ対策を強化します。

こうした戦略的成長機会は、ブロックチェーンAIが効率性、セキュリティ、データ管理を強化することで様々な分野を変革する可能性を浮き彫りにしています。これらの技術の統合がイノベーションを促進し、市場の可能性を拡大しています。

ブロックチェーンAI市場の促進要因・課題

ブロックチェーンAI市場は、技術進歩、経済要因、規制問題など、さまざまな市場促進要因・課題の影響を受けています。これらの要因を理解することは、市場情勢をナビゲートする上で極めて重要です。

ブロックチェーンAI市場の促進要因には、以下のようなものがあります：

• 技術進歩：AIとブロックチェーン技術の急速な進歩が市場成長を牽引しています。これらの分野における技術革新は、統合と応用の新たな機会を生み出し、両技術の能力を高めています。
• 投資の増加：ブロックチェーンAIの研究開発への投資拡大が技術進歩を加速させています。ベンチャーキャピタルや政府のイニシアティブによる財政支援がイノベーションを促進し、市場の可能性を拡大しています。
• セキュリティ強化の需要：強固なセキュリティ・ソリューションに対するニーズの高まりが、ブロックチェーンAIの採用を促進しています。これらの技術は高度なセキュリティ機能と不正検知機能を提供し、データ漏洩やサイバー脅威に対する懸念に対処します。
• 規制支援：支援的な規制の枠組みは、ブロックチェーンAIのアプリケーションに関するガイドラインや標準を提供することで、市場の成長を促進しています。このような支援は信頼構築に役立ち、テクノロジーへの投資を促進します。
• データ管理の改善：ブロックチェーンAIはデータ管理ソリューションの改善を提供し、データの完全性、透明性、アクセシビリティに関する問題に対処します。この機能により、さまざまな分野で採用が進んでいます。

ブロックチェーンAI市場における課題は以下の通りです：

• 規制の不確実性：ブロックチェーンとAI技術を取り巻く規制の不確実性が課題となっています。一貫性のない規制や明確なガイドラインの欠如は、市場の発展や普及の妨げとなる可能性があります。
• 高コスト：ブロックチェーンAIソリューションの導入には高いコストがかかるため、組織によっては参入障壁となる可能性があります。これらのコストには、技術開発、統合、メンテナンス費用が含まれます。
• 統合の複雑さ：ブロックチェーンとAI技術の統合は、複雑でリソースを要する可能性があります。技術的な課題や互換性の問題は、組み合わせたソリューションの展開や効果に影響を与える可能性があります。

ブロックチェーンAI市場における主な促進要因・課題は、技術の進歩、投資の力学、規制上の考慮事項の複雑さを浮き彫りにしています。これらの要因に対処することは、市場の成長を促進し、技術導入の障害を克服する上で極めて重要です。

目次

第1章 エグゼクティブサマリー

第2章 世界のブロックチェーンAI市場：市場力学

• イントロダクション、背景、分類
• サプライチェーン
• 業界の促進要因と課題

第3章 市場動向と予測分析 (2019年～2031年)

• マクロ経済動向 (2019～2024年) と予測 (2025～2031年)
• 世界のブロックチェーンAI市場の動向 (2019～2024年) と予測 (2025～2031年)
• 世界のブロックチェーンAI市場：種類別
  • ML
  • NLP
  • コンテキスト認識コンピューティング
  • コンピュータビジョン
• 世界のブロックチェーンAI市場：用途別
  • スマートコントラクト
  • 決済
  • データセキュリティ
  • 物流・サプライチェーン管理
  • ビジネスプロセス最適化

第4章 地域別の市場動向と予測分析 (2019年～2031年)

• 世界のブロックチェーンAI市場：地域別
• 北米のブロックチェーンAI市場
• 欧州のブロックチェーンAI市場
• アジア太平洋のブロックチェーンAI市場
• その他地域のブロックチェーンAI市場

第5章 競合分析

• 製品ポートフォリオ分析
• 運用統合
• ポーターのファイブフォース分析

第6章 成長機会と戦略分析

• 成長機会分析
  • 世界のブロックチェーンAI市場の成長機会：種類別
  • 世界のブロックチェーンAI市場の成長機会：用途別
  • 世界のブロックチェーンAI市場の成長機会：地域別
• 世界のブロックチェーンAI市場の新たな動向
• 戦略的分析
  • 新製品の開発
  • 世界のブロックチェーンAI市場の生産能力拡大
  • 世界のブロックチェーンAI市場における企業合併・買収 (M&A)、合弁事業
  • 認証とライセンシング

第7章 主要企業のプロファイル

• Cyware Labs
• Core Scientific
• NetObjex
• Ai-Blockchain
• Alpha Networks
• Bext360　
• Blackbird.Ai

The future of the global blockchain AI market looks promising with opportunities in the smart contract, payment, data security, logistics & supply chain management, and business process optimization markets. The global blockchain AI market is expected to grow with a CAGR of 23.4% from 2025 to 2031. The major drivers for this market are an increase in demand for enhanced data security and transparency across industries, growth of decentralized applications (dAPPs) requiring AI capabilities for automation and decision-making, and growing adoption in finance and healthcare sectors for improved efficiency and compliance.

• Lucintel forecasts that, within the type category, the ml segment is expected to witness the highest growth over the forecast period.
• Within the application category, a smart contract is expected to witness the highest growth.
• In terms of regions, APAC is expected to witness the highest growth over the forecast period.

Gain valuable insights for your business decisions with our comprehensive 150+ page report.

Emerging Trends in the Blockchain AI Market

The blockchain AI market is evolving with several emerging trends that are shaping its future. These trends reflect advancements in technology, application areas, and market dynamics.

• Integration of AI with blockchain for security: Combining AI with blockchain enhances security by enabling advanced threat detection and fraud prevention. AI algorithms analyze blockchain data to identify and mitigate potential security breaches more effectively.
• Decentralized AI models: The shift toward decentralized AI models on blockchain platforms is gaining momentum. This approach improves data privacy and security while enabling collaborative AI development across multiple stakeholders without central control.
• Smart contracts powered by AI: AI-powered smart contracts are automating complex transactions and agreements on blockchain platforms. This trend enhances contract execution efficiency and reduces the need for intermediaries, streamlining business processes.
• AI-enhanced blockchain analytics: Advanced AI analytics tools are being integrated into blockchain systems to provide deeper insights and predictive capabilities. This trend improves decision-making by analyzing blockchain data patterns and trends.
• Blockchain for AI data management: Blockchain is being used to manage and secure AI-generated data. This trend ensures data integrity, traceability, and accountability, addressing concerns related to data breaches and manipulation.

These emerging trends are reshaping the blockchain AI market by enhancing security, enabling decentralized solutions, and improving data management. The integration of AI with blockchain technology is driving innovation and expanding the potential applications of both technologies.

Recent Developments in the Blockchain AI Market

Recent developments in the blockchain AI market reflect significant technological advancements and strategic innovations. These developments are shaping the future of how blockchain and AI technologies intersect and impact various industries.

• Enhanced security solutions: New AI-driven blockchain security solutions are emerging to combat cyber threats and fraud. These solutions leverage machine learning algorithms to analyze blockchain transactions and identify anomalies, providing stronger protection against cyberattacks.
• Blockchain-based AI training data: Companies are using blockchain to create secure, transparent datasets for AI training. This development ensures data integrity and provides a reliable source of training data for AI models, enhancing their accuracy and effectiveness.
• AI-optimized blockchain protocols: Advances in AI are leading to the development of optimized blockchain protocols. These protocols improve blockchain performance, scalability, and efficiency by using AI to analyze and optimize blockchain operations.
• Integration with IoT: Blockchain AI is being integrated with IoT devices to enhance data security and management. This integration enables secure, decentralized data exchanges between IoT devices and improves overall system reliability.
• Regulatory compliance solutions: AI and blockchain are being used to develop solutions for regulatory compliance. These solutions automate compliance processes, provide real-time monitoring, and ensure adherence to regulatory requirements, reducing compliance costs and risks.

Recent developments in the blockchain AI market are driving innovations in security, data management, and regulatory compliance. These advancements are enhancing the capabilities of both technologies and expanding their applications across various sectors.

Strategic Growth Opportunities for Blockchain AI Market

The blockchain AI market presents numerous strategic growth opportunities across different applications. These opportunities reflect the potential for innovation and expansion in various sectors through the integration of blockchain and AI technologies.

• Financial services: Integrating blockchain AI in financial services offers opportunities for enhancing fraud detection, streamlining transactions, and improving compliance. This application can transform banking and finance by increasing transparency and security.
• Supply chain management: Blockchain AI can optimize supply chain operations by providing real-time tracking, enhancing transparency, and improving logistics. This growth opportunity addresses inefficiencies and fraud in supply chains, leading to more effective management.
• Healthcare data management: Blockchain AI is poised to revolutionize healthcare data management by providing secure, decentralized platforms for patient data. This application enhances data security, interoperability, and patient privacy, improving overall healthcare delivery.
• Smart contracts: The use of AI in smart contracts enables more sophisticated and automated contract execution on blockchain platforms. This opportunity enhances efficiency, reduces errors, and facilitates complex agreements across various industries.
• Cybersecurity: Blockchain AI presents growth opportunities in cybersecurity by offering advanced threat detection and response capabilities. This application strengthens data protection and enhances security measures against emerging cyber threats.

These strategic growth opportunities highlight the potential for blockchain AI to transform various sectors by enhancing efficiency, security, and data management. The integration of these technologies is driving innovation and expanding market potential.

Blockchain AI Market Driver and Challenges

The blockchain AI market is influenced by a range of drivers and challenges, including technological advancements, economic factors, and regulatory issues. Understanding these factors is crucial for navigating the market landscape.

The factors responsible for driving the blockchain AI market include:

• Technological advancements: Rapid advancements in AI and blockchain technologies are driving market growth. Innovations in these fields are creating new opportunities for integration and application, enhancing the capabilities of both technologies.
• Increased investment: Growing investment in blockchain AI research and development is accelerating technological progress. Financial support from venture capital and government initiatives is fueling innovation and expanding market potential.
• Demand for enhanced security: The increasing need for robust security solutions is driving the adoption of blockchain AI. These technologies provide advanced security features and fraud detection capabilities, addressing concerns about data breaches and cyber threats.
• Regulatory support: Supportive regulatory frameworks are fostering market growth by providing guidelines and standards for blockchain AI applications. This support helps build trust and encourages investment in the technology.
• Improved data management: Blockchain AI offers improved data management solutions, addressing issues related to data integrity, transparency, and accessibility. This capability is driving adoption across various sectors.

Challenges in the blockchain AI market are:

• Regulatory uncertainty: Regulatory uncertainty surrounding blockchain and AI technologies poses a challenge. Inconsistent regulations and a lack of clear guidelines can hinder market development and adoption.
• High costs: The high cost of implementing blockchain AI solutions can be a barrier to entry for some organizations. These costs include technology development, integration, and maintenance expenses.
• Complexity of integration: Integrating blockchain and AI technologies can be complex and resource-intensive. Technical challenges and compatibility issues may impact the deployment and effectiveness of combined solutions.

The major drivers and challenges in the blockchain AI market highlight the complexities of technological advancements, investment dynamics, and regulatory considerations. Addressing these factors is crucial for driving market growth and overcoming obstacles to technology adoption.

List of Blockchain AI Companies

Companies in the market compete based on product quality offered. Major players in this market focus on expanding their manufacturing facilities, R&D investments, infrastructural development, and leverage integration opportunities across the value chain. Through these strategies, blockchain AI companies cater to increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the blockchain AI companies profiled in this report include-

• Cyware Labs
• Core Scientific
• NetObjex
• Ai-Blockchain
• Alpha Networks
• Bext360
• Blackbird.Ai

Blockchain AI by Segment

The study includes a forecast for the global blockchain AI market by type, application, and region.

Blockchain AI Market by Type [Analysis by Value from 2019 to 2031]:

• ML
• NLP
• Context-Aware Computing
• Computer Vision

Blockchain AI Market by Application [Analysis by Value from 2019 to 2031]:

• Smart Contract
• Payment
• Data Security
• Logistics & Supply Chain Management
• Business Process Optimization

Blockchain AI Market by Region [Analysis by Value from 2019 to 2031]:

• North America
• Europe
• Asia Pacific
• The Rest of the World

Country Wise Outlook for the Blockchain AI Market

Major players in the market are expanding their operations and forming strategic partnerships to strengthen their positions. The image below highlights recent developments by major blockchain AI producers in key regions: the USA, China, India, Japan, and Germany.

• United States: In the U.S., companies like IBM and Microsoft are advancing blockchain AI solutions for enterprise applications, focusing on enhancing data security and operational transparency. Notable developments include IBM's Food Trust and Microsoft's Azure Blockchain Service, which leverage AI for improved data analysis and fraud detection.
• China: China is actively integrating blockchain and AI to enhance financial transactions and supply chain management. Notable advancements include the People's Bank of China's exploration of blockchain for digital currency and Alibaba's application of AI and blockchain for securing e-commerce transactions and supply chains.
• Germany: Germany is leveraging blockchain AI for industrial applications, particularly in automating manufacturing processes and improving supply chain transparency. Siemens and Bosch are key players, utilizing AI algorithms on blockchain platforms to enhance operational efficiency and data integrity.
• India: In India, blockchain AI is being used to bolster digital identity systems and financial inclusion. Startups like Nucleus Vision are deploying blockchain for secure, AI-driven customer verification and transaction processing, addressing issues in digital payments and identity management.
• Japan: Japan is integrating blockchain AI to enhance cybersecurity and smart contract execution. Companies like NEC and Fujitsu are developing AI-powered blockchain solutions to secure data exchanges and streamline smart contract operations, driving innovation in various sectors.

Features of the Global Blockchain AI Market

Market Size Estimates: Blockchain AI market size estimation in terms of value ($B).

Trend and Forecast Analysis: Market trends (2019 to 2024) and forecasts (2025 to 2031) by various segments and regions.

Segmentation Analysis: Blockchain AI market size by type, application, and region in terms of value ($B).

Regional Analysis: Blockchain AI market breakdown by North America, Europe, Asia Pacific, and Rest of the World.

Growth Opportunities: Analysis of growth opportunities in different types, applications, and regions for the blockchain AI market.

Strategic Analysis: This includes M&A, new product development, and the competitive landscape of the blockchain AI market.

Analysis of competitive intensity of the industry based on Porter's Five Forces model.

If you are looking to expand your business in this market or adjacent markets, then contact us. We have done hundreds of strategic consulting projects in market entry, opportunity screening, due diligence, supply chain analysis, M&A, and more.

This report answers the following 11 key questions:

• Q.1. What are some of the most promising, high-growth opportunities for the blockchain AI market by type (ML, NLP, context-aware computing, and computer vision), application (smart contract, payment, data security, logistics & supply chain management, and business process optimization), and region (North America, Europe, Asia Pacific, and the Rest of the World)?
• Q.2. Which segments will grow at a faster pace and why?
• Q.3. Which region will grow at a faster pace and why?
• Q.4. What are the key factors affecting market dynamics? What are the key challenges and business risks in this market?
• Q.5. What are the business risks and competitive threats in this market?
• Q.6. What are the emerging trends in this market and the reasons behind them?
• Q.7. What are some of the changing demands of customers in the market?
• Q.8. What are the new developments in the market? Which companies are leading these developments?
• Q.9. Who are the major players in this market? What strategic initiatives are key players pursuing for business growth?
• Q.10. What are some of the competing products in this market and how big of a threat do they pose for loss of market share by material or product substitution?
• Q.11. What M&A activity has occurred in the last 5 years and what has its impact been on the industry?

Table of Contents

1. Executive Summary

2. Global Blockchain AI Market : Market Dynamics

• 2.1: Introduction, Background, and Classifications
• 2.2: Supply Chain
• 2.3: Industry Drivers and Challenges

3. Market Trends and Forecast Analysis from 2019 to 2031

• 3.1. Macroeconomic Trends (2019-2024) and Forecast (2025-2031)
• 3.2. Global Blockchain AI Market Trends (2019-2024) and Forecast (2025-2031)
• 3.3: Global Blockchain AI Market by Type
  • 3.3.1: ML
  • 3.3.2: NLP
  • 3.3.3: Context-Aware Computing
  • 3.3.4: Computer Vision
• 3.4: Global Blockchain AI Market by Application
  • 3.4.1: Smart Contract
  • 3.4.2: Payment
  • 3.4.3: Data Security
  • 3.4.4: Logistics & Supply Chain Management
  • 3.4.5: Business Process Optimization

4. Market Trends and Forecast Analysis by Region from 2019 to 2031

• 4.1: Global Blockchain AI Market by Region
• 4.2: North American Blockchain AI Market
  • 4.2.1: North American Blockchain AI Market by Type: ML, NLP, Context-Aware Computing, and Computer Vision
  • 4.2.2: North American Blockchain AI Market by Application: Smart Contract, Payment, Data Security, Logistics & Supply Chain Management, and Business Process Optimization
• 4.3: European Blockchain AI Market
  • 4.3.1: European Blockchain AI Market by Type: ML, NLP, Context-Aware Computing, and Computer Vision
  • 4.3.2: European Blockchain AI Market by Application: Smart Contract, Payment, Data Security, Logistics & Supply Chain Management, and Business Process Optimization
• 4.4: APAC Blockchain AI Market
  • 4.4.1: APAC Blockchain AI Market by Type: ML, NLP, Context-Aware Computing, and Computer Vision
  • 4.4.2: APAC Blockchain AI Market by Application: Smart Contract, Payment, Data Security, Logistics & Supply Chain Management, and Business Process Optimization
• 4.5: ROW Blockchain AI Market
  • 4.5.1: ROW Blockchain AI Market by Type: ML, NLP, Context-Aware Computing, and Computer Vision
  • 4.5.2: ROW Blockchain AI Market by Application: Smart Contract, Payment, Data Security, Logistics & Supply Chain Management, and Business Process Optimization

5. Competitor Analysis

• 5.1: Product Portfolio Analysis
• 5.2: Operational Integration
• 5.3: Porter's Five Forces Analysis

6. Growth Opportunities and Strategic Analysis

• 6.1: Growth Opportunity Analysis
  • 6.1.1: Growth Opportunities for the Global Blockchain AI Market by Type
  • 6.1.2: Growth Opportunities for the Global Blockchain AI Market by Application
  • 6.1.3: Growth Opportunities for the Global Blockchain AI Market by Region
• 6.2: Emerging Trends in the Global Blockchain AI Market
• 6.3: Strategic Analysis
  • 6.3.1: New Product Development
  • 6.3.2: Capacity Expansion of the Global Blockchain AI Market
  • 6.3.3: Mergers, Acquisitions, and Joint Ventures in the Global Blockchain AI Market
  • 6.3.4: Certification and Licensing

7. Company Profiles of Leading Players

• 7.1: Cyware Labs
• 7.2: Core Scientific
• 7.3: NetObjex
• 7.4: Ai-Blockchain
• 7.5: Alpha Networks
• 7.6: Bext360
• 7.7: Blackbird.Ai