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市场调查报告书
商品编码
1680202

区块链人工智慧市场报告：趋势、预测和竞争分析（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个工作天内

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简介目录

由于智慧合约、付款、资料安全、物流和供应链管理以及业务流程优化市场存在机会，全球区块链人工智慧市场预计将前景光明。预计 2025 年至 2031 年期间，全球区块链 AI 市场将以 23.4% 的复合年增长率成长。该市场的主要驱动力是各行业对增强资料安全性和透明度的需求不断增长、需要 AI 功能进行自动化和决策的去中心化应用程式 (dAPP) 的成长，以及金融和医疗保健领域为提高效率和合规性而日益普及的应用。

  • 根据 Lucintel 的预测，基于类型，机器学习 (ML) 领域预计将在预测期内见证最高成长。
  • 从应用角度来看，智能合约预计将实现最高成长。
  • 根据地区来看，预计亚太地区将在预测期内实现最高成长。

区块链人工智慧市场的策略成长机会

区块链人工智慧市场在一系列应用领域展现出许多策略成长机会。这些机会反映了透过区块链和人工智慧技术的整合在各个领域进行创新和扩展的潜力。

  • 金融服务：区块链人工智慧与金融服务的整合机会。该应用程式可以透过提高透明度和安全性来改变银行和金融业。
  • 供应链管理：区块链AI可以透过即时追踪、提高透明度和改善物流来优化供应链业务。这一成长机会将解决供应链中的低效率和诈欺问题，从而实现更有效的管理。
  • 医疗保健资料管理：区块链人工智慧将透过为患者资料提供安全的分散平台来彻底改变医疗保健资料管理。该应用程式增强了资料安全性、互通性和患者隐私，改善了整体医疗保健服务。
  • 智慧合约：人工智慧在智慧合约中的应用将使区块链平台上的合约执行更加先进和自动化。这个机会可以提高效率、减少错误并促进各行业之间达成复杂的协议。
  • 网路安全：区块链人工智慧透过提供先进的威胁侦测和回应能力，开启了网路安全领域的成长机会。该应用程式增强了资料保护并加强了针对新的网路威胁的安全措施。

这些策略性成长机会凸显了区块链人工智慧透过提高效率、安全性和资料管理来改变各个领域的潜力。这些技术的融合正在推动创新并扩大市场潜力。

区块链人工智慧市场驱动因素与挑战

区块链人工智慧市场受到各种市场驱动因素和挑战的影响，包括技术进步、经济因素和监管问题。了解这些因素对于掌握市场格局至关重要。

区块链人工智慧市场驱动因素包括：

  • 技术进步：人工智慧和区块链技术的快速进步正在推动市场成长。这些领域的技术创新正在创造新的整合应用机会，增强两种技术的能力。
  • 增加投资：对区块链人工智慧研发的更多投资正在加速技术进步。透过创业投资和政府措施提供的资金支持正在刺激创新并扩大市场潜力。
  • 对增强安全性的需求：对强大安全解决方案日益增长的需求正在推动区块链 AI 的采用。这些技术提供了先进的安全功能和诈欺侦测功能，解决了对资料外洩和网路威胁的担忧。
  • 监管支援：支援性法律规范为区块链人工智慧的应用提供指导方针和标准，促进市场成长。这种支持有助于建立信任并鼓励对技术的投资。
  • 改进的资料管理：区块链 AI 提供改进的资料管理解决方案，解决资料完整性、透明度和可存取性问题。这一特性使得它被广泛应用于各个领域。

区块链AI市场面临的挑战是：

  • 监管不确定性：围绕区块链和人工智慧技术的监管不确定性是一个挑战。不一致的法规和缺乏明确的指导方针可能会阻碍市场的发展和采用。
  • 高成本：实施区块链人工智慧解决方案的高成本可能会成为一些组织的进入障碍。这些成本包括技术开发、整合和维护成本。
  • 整合复杂性：整合区块链和人工智慧技术可能很复杂且耗费资源。技术挑战和相容性问题可能会影响组合解决方案的部署和有效性。

区块链人工智慧市场的关键驱动因素和挑战凸显了技术进步、投资动态和监管考虑的复杂性。解决这些因素对于推动市场成长和克服技术采用的障碍至关重要。

目录

第一章执行摘要

第二章 全球区块链人工智慧市场：市场动态

  • 简介、背景和分类
  • 供应链
  • 产业驱动力与挑战

第三章市场趋势与预测分析（2019-2031）

  • 宏观经济趋势（2019-2024）及预测（2025-2031）
  • 全球区块链人工智慧市场趋势（2019-2024）及预测（2025-2031）
  • 全球区块链人工智慧市场类型
    • ML
    • NLP
    • 情境感知计算
    • 电脑视觉
  • 全球区块链人工智慧市场（按应用）
    • 智能合约
    • 付款
    • 资料安全
    • 物流与供应链管理
    • 业务流程优化

第四章区域市场趋势与预测分析（2019-2031）

  • 全球区块链人工智慧市场（按地区）
  • 北美区块链人工智慧市场
  • 欧洲区块链人工智慧市场
  • 亚太地区区块链人工智慧市场
  • 其他地区的区块链人工智慧市场

第五章 竞争分析

  • 产品系列分析
  • 营运整合
  • 波特五力分析

第六章 成长机会与策略分析

  • 成长机会分析
    • 全球区块链人工智慧市场成长机会（按类型）
    • 全球区块链人工智慧市场的成长机会（按应用）
    • 全球区块链人工智慧市场各区域成长机会
  • 全球区块链人工智慧市场新趋势
  • 战略分析
    • 新产品开发
    • 扩大全球区块链AI市场产能
    • 全球区块链人工智慧市场的企业合併
    • 认证和许可

第七章主要企业简介

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

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.

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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