블록체인 AI 시장 : 부문별 예측(2025-2030년)

The Blockchain AI Market was valued at USD 603.31 million in 2023, expected to reach USD 808.13 million in 2024, and is projected to grow at a CAGR of 36.64%, to USD 5,365.92 million by 2030.

Blockchain AI represents the integration of blockchain technology with artificial intelligence, offering a trailblazing path to optimize numerous sectors through secure, transparent, and efficient data handling. This convergence holds profound potential for decentralized data ecosystems, enhancing data integrity and trustworthiness for AI applications. The necessity for such integration stems from the escalating demand for robust data security, privacy, and efficient management in AI applications. Vital applications include finance for fraud detection and transaction validation, healthcare for secure data sharing and patient records management, and supply chain for transparent, traceable logistics. End-use sectors span from government to retail, underscoring its versatile applicability. Market growth is largely driven by the increasing incidences of data breaches, the need for decentralized data solutions, and the growing adoption of AI technologies across industries. Moreover, the enhanced efficiency, security, and reduced costs associated with this integrated approach present lucrative opportunities economically. Significant potential lies in expanding fintech collaborations, especially those focusing on cryptocurrency transaction precision and fraud prevention. However, challenges persist, including the nascent stage of technological convergence, regulatory uncertainties, high implementation costs, and the steep learning curve for stakeholders. Limited standardization in protocols and scalability issues further constrain immediate implementation. Yet, areas ripe for innovation include exploring scalability solutions, AI-driven blockchain analytics, and enhanced interoperability between blockchain networks. Businesses should focus on developing blockchain frameworks optimized for rapid AI computation, promoting collaborative ecosystems among industry stakeholders, and aligning innovations with emerging regulatory standards. The market, characterized by rapid shifts and evolving technologies, demands agility and continuous adaptation by organizations to maintain competitive advantage. Balancing opportunity with these challenges necessitates strategic foresight and innovative adaptability in leveraging Blockchain AI for sustainable growth.

Market Dynamics: Unveiling Key Market Insights in the Rapidly Evolving Blockchain AI Market

The Blockchain AI Market is undergoing transformative changes driven by a dynamic interplay of supply and demand factors. Understanding these evolving market dynamics prepares business organizations to make informed investment decisions, refine strategic decisions, and seize new opportunities. By gaining a comprehensive view of these trends, business organizations can mitigate various risks across political, geographic, technical, social, and economic domains while also gaining a clearer understanding of consumer behavior and its impact on manufacturing costs and purchasing trends.

• Market Drivers
  • Rising investments in the digitalization of end-user sectors
  • Increasing need for improved and accurate asset tracking and tracing in supply chain networks
  • Government initiatives promoting the adoption of AI and blockchain
• Market Restraints
  • Limited availability of blockchain AI technology professionals
• Market Opportunities
  • Technological advancements and improvements in blockchain AI technology
  • Emergence of AI-powered smart contracts across end-user areas
• Market Challenges
  • Concerns regarding compliance environment and lack of standardization

Porter's Five Forces: A Strategic Tool for Navigating the Blockchain AI Market

Porter's five forces framework is a critical tool for understanding the competitive landscape of the Blockchain AI Market. It offers business organizations with a clear methodology for evaluating their competitive positioning and exploring strategic opportunities. This framework helps businesses assess the power dynamics within the market and determine the profitability of new ventures. With these insights, business organizations can leverage their strengths, address weaknesses, and avoid potential challenges, ensuring a more resilient market positioning.

PESTLE Analysis: Navigating External Influences in the Blockchain AI Market

External macro-environmental factors play a pivotal role in shaping the performance dynamics of the Blockchain AI Market. Political, Economic, Social, Technological, Legal, and Environmental factors analysis provides the necessary information to navigate these influences. By examining PESTLE factors, businesses can better understand potential risks and opportunities. This analysis enables business organizations to anticipate changes in regulations, consumer preferences, and economic trends, ensuring they are prepared to make proactive, forward-thinking decisions.

Market Share Analysis: Understanding the Competitive Landscape in the Blockchain AI Market

A detailed market share analysis in the Blockchain AI Market provides a comprehensive assessment of vendors' performance. Companies can identify their competitive positioning by comparing key metrics, including revenue, customer base, and growth rates. This analysis highlights market concentration, fragmentation, and trends in consolidation, offering vendors the insights required to make strategic decisions that enhance their position in an increasingly competitive landscape.

FPNV Positioning Matrix: Evaluating Vendors' Performance in the Blockchain AI Market

The Forefront, Pathfinder, Niche, Vital (FPNV) Positioning Matrix is a critical tool for evaluating vendors within the Blockchain AI Market. This matrix enables business organizations to make well-informed decisions that align with their goals by assessing vendors based on their business strategy and product satisfaction. The four quadrants provide a clear and precise segmentation of vendors, helping users identify the right partners and solutions that best fit their strategic objectives.

Strategy Analysis & Recommendation: Charting a Path to Success in the Blockchain AI Market

A strategic analysis of the Blockchain AI Market is essential for businesses looking to strengthen their global market presence. By reviewing key resources, capabilities, and performance indicators, business organizations can identify growth opportunities and work toward improvement. This approach helps businesses navigate challenges in the competitive landscape and ensures they are well-positioned to capitalize on newer opportunities and drive long-term success.

Key Company Profiles

The report delves into recent significant developments in the Blockchain AI Market, highlighting leading vendors and their innovative profiles. These include Altoros, Bext Holdings Inc., Blaize - blockchain development company, BurstIQ, LLC, Consensys Software Inc., Core Scientific, Inc., Cyware Labs, Inc., DeepBrain Chain, Inc., Fetch.AI Limited, Gainfy Healthcare Network, Hannah Systems, Humans Token AG, LeewayHertz, Markovate Inc., NeuroChain, Plato Technologies Inc., Ripple Labs Inc., Scifn, SingularityNET, Solana Foundation, SoluLab, Stowk, Inc., Vytalyx Inc., Yudiz Solutions Ltd., and Zensar Technologies Ltd..

Market Segmentation & Coverage

This research report categorizes the Blockchain AI Market to forecast the revenues and analyze trends in each of the following sub-markets:

• Based on Technology, market is studied across Computer Vision, Context-Aware Computing, Machine Learning, and Natural Language Processing. The Machine Learning is further studied across Deep Learning, Generative Adversarial Networks, Reinforcement Learning, Supervised Learning, and Unsupervised Learning.
• Based on Component, market is studied across Platform or Tools and Services. The Services is further studied across Consulting, Support & Maintenance, and System Integration & Deployment.
• Based on Deployment Mode, market is studied across Cloud and On-Premises.
• Based on Application, market is studied across Asset Tracking & Management, Business Process Optimization, Data Security, Data Sharing or Communication, Logistics & Supply Chain Management, Payment & Settlement, and Smart Contracts.
• Based on Vertical, market is studied across Automotive, Banking, Financial Services, & Insurance, Healthcare & Life Sciences, Manufacturing, Media & Entertainment, and Telecommunications & IT.
• Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.

The report offers a comprehensive analysis of the market, covering key focus areas:

1. Market Penetration: A detailed review of the current market environment, including extensive data from top industry players, evaluating their market reach and overall influence.

2. Market Development: Identifies growth opportunities in emerging markets and assesses expansion potential in established sectors, providing a strategic roadmap for future growth.

3. Market Diversification: Analyzes recent product launches, untapped geographic regions, major industry advancements, and strategic investments reshaping the market.

4. Competitive Assessment & Intelligence: Provides a thorough analysis of the competitive landscape, examining market share, business strategies, product portfolios, certifications, regulatory approvals, patent trends, and technological advancements of key players.

5. Product Development & Innovation: Highlights cutting-edge technologies, R&D activities, and product innovations expected to drive future market growth.

The report also answers critical questions to aid stakeholders in making informed decisions:

1. What is the current market size, and what is the forecasted growth?

2. Which products, segments, and regions offer the best investment opportunities?

3. What are the key technology trends and regulatory influences shaping the market?

4. How do leading vendors rank in terms of market share and competitive positioning?

5. What revenue sources and strategic opportunities drive vendors' market entry or exit strategies?

Table of Contents

1. Preface

• 1.1. Objectives of the Study
• 1.2. Market Segmentation & Coverage
• 1.3. Years Considered for the Study
• 1.4. Currency & Pricing
• 1.5. Language
• 1.6. Stakeholders

2. Research Methodology

• 2.1. Define: Research Objective
• 2.2. Determine: Research Design
• 2.3. Prepare: Research Instrument
• 2.4. Collect: Data Source
• 2.5. Analyze: Data Interpretation
• 2.6. Formulate: Data Verification
• 2.7. Publish: Research Report
• 2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

• 5.1. Market Dynamics
  • 5.1.1. Drivers
    • 5.1.1.1. Rising investments in the digitalization of end-user sectors
    • 5.1.1.2. Increasing need for improved and accurate asset tracking and tracing in supply chain networks
    • 5.1.1.3. Government initiatives promoting the adoption of AI and blockchain
  • 5.1.2. Restraints
    • 5.1.2.1. Limited availability of blockchain AI technology professionals
  • 5.1.3. Opportunities
    • 5.1.3.1. Technological advancements and improvements in blockchain AI technology
    • 5.1.3.2. Emergence of AI-powered smart contracts across end-user areas
  • 5.1.4. Challenges
    • 5.1.4.1. Concerns regarding compliance environment and lack of standardization
• 5.2. Market Segmentation Analysis
• 5.3. Porter's Five Forces Analysis
  • 5.3.1. Threat of New Entrants
  • 5.3.2. Threat of Substitutes
  • 5.3.3. Bargaining Power of Customers
  • 5.3.4. Bargaining Power of Suppliers
  • 5.3.5. Industry Rivalry
• 5.4. PESTLE Analysis
  • 5.4.1. Political
  • 5.4.2. Economic
  • 5.4.3. Social
  • 5.4.4. Technological
  • 5.4.5. Legal
  • 5.4.6. Environmental

6. Blockchain AI Market, by Technology

• 6.1. Introduction
• 6.2. Computer Vision
• 6.3. Context-Aware Computing
• 6.4. Machine Learning
  • 6.4.1. Deep Learning
  • 6.4.2. Generative Adversarial Networks
  • 6.4.3. Reinforcement Learning
  • 6.4.4. Supervised Learning
  • 6.4.5. Unsupervised Learning
• 6.5. Natural Language Processing

7. Blockchain AI Market, by Component

• 7.1. Introduction
• 7.2. Platform or Tools
• 7.3. Services
  • 7.3.1. Consulting
  • 7.3.2. Support & Maintenance
  • 7.3.3. System Integration & Deployment

8. Blockchain AI Market, by Deployment Mode

• 8.1. Introduction
• 8.2. Cloud
• 8.3. On-Premises

9. Blockchain AI Market, by Application

• 9.1. Introduction
• 9.2. Asset Tracking & Management
• 9.3. Business Process Optimization
• 9.4. Data Security
• 9.5. Data Sharing or Communication
• 9.6. Logistics & Supply Chain Management
• 9.7. Payment & Settlement
• 9.8. Smart Contracts

10. Blockchain AI Market, by Vertical

• 10.1. Introduction
• 10.2. Automotive
• 10.3. Banking, Financial Services, & Insurance
• 10.4. Healthcare & Life Sciences
• 10.5. Manufacturing
• 10.6. Media & Entertainment
• 10.7. Telecommunications & IT

11. Americas Blockchain AI Market

• 11.1. Introduction
• 11.2. Argentina
• 11.3. Brazil
• 11.4. Canada
• 11.5. Mexico
• 11.6. United States

12. Asia-Pacific Blockchain AI Market

• 12.1. Introduction
• 12.2. Australia
• 12.3. China
• 12.4. India
• 12.5. Indonesia
• 12.6. Japan
• 12.7. Malaysia
• 12.8. Philippines
• 12.9. Singapore
• 12.10. South Korea
• 12.11. Taiwan
• 12.12. Thailand
• 12.13. Vietnam

13. Europe, Middle East & Africa Blockchain AI Market

• 13.1. Introduction
• 13.2. Denmark
• 13.3. Egypt
• 13.4. Finland
• 13.5. France
• 13.6. Germany
• 13.7. Israel
• 13.8. Italy
• 13.9. Netherlands
• 13.10. Nigeria
• 13.11. Norway
• 13.12. Poland
• 13.13. Qatar
• 13.14. Russia
• 13.15. Saudi Arabia
• 13.16. South Africa
• 13.17. Spain
• 13.18. Sweden
• 13.19. Switzerland
• 13.20. Turkey
• 13.21. United Arab Emirates
• 13.22. United Kingdom

14. Competitive Landscape

• 14.1. Market Share Analysis, 2023
• 14.2. FPNV Positioning Matrix, 2023
• 14.3. Competitive Scenario Analysis
  • 14.3.1. AI And Crypto Collide: Block GPT Launches New AI Project Using Blockchain Technology
  • 14.3.2. AI-Focused Blockchain CryptoGPT Raises USD 10 million Funding at USD 250 million Valuation
  • 14.3.3. Blockchain startup Fetch.ai grabs USD 40 million to provide monetization and other tooling for AI-generated information
  • 14.3.4. Moonstake Partners with Humans.ai to Help Advance AI on the Blockchain
• 14.4. Strategy Analysis & Recommendation

Companies Mentioned

• 1. Altoros
• 2. Bext Holdings Inc.
• 3. Blaize - blockchain development company
• 4. BurstIQ, LLC
• 5. Consensys Software Inc.
• 6. Core Scientific, Inc.
• 7. Cyware Labs, Inc.
• 8. DeepBrain Chain, Inc.
• 9. Fetch.AI Limited
• 10. Gainfy Healthcare Network
• 11. Hannah Systems
• 12. Humans Token AG
• 13. LeewayHertz
• 14. Markovate Inc.
• 15. NeuroChain
• 16. Plato Technologies Inc.
• 17. Ripple Labs Inc.
• 18. Scifn
• 19. SingularityNET
• 20. Solana Foundation
• 21. SoluLab
• 22. Stowk, Inc.
• 23. Vytalyx Inc.
• 24. Yudiz Solutions Ltd.
• 25. Zensar Technologies Ltd.