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市場調查報告書
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1680202

區塊鏈人工智慧市場報告：趨勢、預測和競爭分析（至 2031 年）

Blockchain AI Market Report: Trends, Forecast and Competitive Analysis to 2031
出版日期: | 出版商: Lucintel | 英文 150 Pages | 商品交期: 3個工作天內

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簡介目錄

由於智慧合約、付款、資料安全、物流和供應鏈管理以及業務流程最佳化市場存在機會，全球區塊鏈人工智慧市場預計將前景光明。預計 2025 年至 2031 年期間，全球區塊鏈 AI 市場將以 23.4% 的複合年成長率成長。該市場的主要驅動力是各行業對增強資料安全性和透明度的需求不斷成長、需要 AI 功能進行自動化和決策的去中心化應用程式 (dAPP) 的成長，以及金融和醫療保健領域為提高效率和合規性而日益普及的應用。

  • 根據 Lucintel 的預測，基於類型，機器學習 (ML) 領域預計將在預測期內見證最高成長。
  • 從應用角度來看，智慧合約預計將實現最高成長。
  • 根據地區來看，預計亞太地區將在預測期內實現最高成長。

區塊鏈人工智慧市場的策略成長機會

區塊鏈人工智慧市場在一系列應用領域展現出許多策略成長機會。這些機會反映了透過區塊鏈和人工智慧技術的整合在各個領域進行創新和擴展的潛力。

  • 金融服務：區塊鏈人工智慧與金融服務的整合機會。該應用程式可以透過提高透明度和安全性來改變銀行和金融業。
  • 供應鏈管理：區塊鏈AI可以透過即時追蹤、提高透明度和改善物流來最佳化供應鏈業務。這一成長機會將解決供應鏈中的低效率和詐欺問題，從而實現更有效的管理。
  • 醫療保健資料管理：區塊鏈人工智慧將透過為患者資料提供安全的分散平台來徹底改變醫療保健資料管理。該應用程式增強了資料安全性、互通性和患者隱私，改善了整體醫療保健服務。
  • 智慧合約：人工智慧在智慧合約中的應用將使區塊鏈平台上的合約執行更加先進和自動化。這個機會可以提高效率、減少錯誤並促進各行業之間達成複雜的協議。
  • 網路安全：區塊鏈人工智慧透過提供先進的威脅偵測和回應能力，開啟了網路安全領域的成長機會。該應用程式增強了資料保護並加強了針對新的網路威脅的安全措施。

這些策略性成長機會凸顯了區塊鏈人工智慧透過提高效率、安全性和資料管理來改變各個領域的潛力。這些技術的融合正在推動創新並擴大市場潛力。

區塊鏈人工智慧市場促進因素與挑戰

區塊鏈人工智慧市場受到各種市場促進因素和挑戰的影響，包括技術進步、經濟因素和監管問題。了解這些因素對於掌握市場格局至關重要。

區塊鏈人工智慧市場促進因素包括：

  • 技術進步：人工智慧和區塊鏈技術的快速進步正在推動市場成長。這些領域的技術創新正在創造新的整合應用機會，增強兩種技術的能力。
  • 增加投資：對區塊鏈人工智慧研發的更多投資正在加速技術進步。透過創業投資和政府措施提供的資金支持正在刺激創新並擴大市場潛力。
  • 對增強安全性的需求：對強大安全解決方案日益成長的需求正在推動區塊鏈 AI 的採用。這些技術提供了先進的安全功能和詐欺偵測功能，解決了對資料外洩和網路威脅的擔憂。
  • 監管支援：支援性法律規範為區塊鏈人工智慧的應用提供指導方針和標準，促進市場成長。這種支持有助於建立信任並鼓勵對技術的投資。
  • 改進的資料管理：區塊鏈 AI 提供改進的資料管理解決方案，解決資料完整性、透明度和可存取性問題。這一特性使得它被廣泛應用於各個領域。

區塊鏈AI市場面臨的挑戰是：

  • 監管不確定性：圍繞區塊鏈和人工智慧技術的監管不確定性是一個挑戰。不一致的法規和缺乏明確的指導方針可能會阻礙市場的發展和採用。
  • 高成本：實施區塊鏈人工智慧解決方案的高成本可能會成為一些組織的進入障礙。這些成本包括技術開發、整合和維護成本。
  • 整合複雜性：整合區塊鏈和人工智慧技術可能很複雜且耗費資源。技術挑戰和相容性問題可能會影響組合解決方案的部署和有效性。

區塊鏈人工智慧市場的關鍵促進因素和挑戰凸顯了技術進步、投資動態和監管考慮的複雜性。解決這些因素對於推動市場成長和克服技術採用的障礙至關重要。

目錄

第1章執行摘要

第2章 全球區塊鏈人工智慧市場：市場動態

  • 簡介、背景和分類
  • 供應鏈
  • 產業驅動力與挑戰

第3章市場趨勢與預測分析（2019-2031）

  • 宏觀經濟趨勢（2019-2024）及預測（2025-2031）
  • 全球區塊鏈人工智慧市場趨勢（2019-2024）及預測（2025-2031）
  • 全球區塊鏈人工智慧市場類型
    • ML
    • NLP
    • 情境感知計算
    • 電腦視覺
  • 全球區塊鏈人工智慧市場（按應用）
    • 智慧合約
    • 付款
    • 資料安全
    • 物流與供應鏈管理
    • 業務流程最佳化

第4章區域市場趨勢與預測分析（2019-2031）

  • 全球區塊鏈人工智慧市場（按地區）
  • 北美區塊鏈人工智慧市場
  • 歐洲區塊鏈人工智慧市場
  • 亞太地區區塊鏈人工智慧市場
  • 其他地區的區塊鏈人工智慧市場

第5章 競爭分析

  • 產品系列分析
  • 營運整合
  • 波特五力分析

第6章 成長機會與策略分析

  • 成長機會分析
    • 全球區塊鏈人工智慧市場成長機會（按類型）
    • 全球區塊鏈人工智慧市場的成長機會（按應用）
    • 全球區塊鏈人工智慧市場各區域成長機會
  • 全球區塊鏈人工智慧市場新趨勢
  • 戰略分析
    • 新產品開發
    • 擴大全球區塊鏈AI市場產能
    • 全球區塊鏈人工智慧市場的企業合併
    • 認證和許可

第7章主要企業簡介

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

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.

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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.

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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