
Global AI in Blockchain Market Size, Share & Trends Analysis Report, Forecast Period, 2023-2030
Report ID: MS-2288 | IT and Telecom | Last updated: Dec, 2024 | Formats*:

AI in Blockchain Report Highlights
Report Metrics | Details |
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Forecast period | 2019-2030 |
Base Year Of Estimation | 2023 |
Growth Rate | CAGR of 23.6% |
Forecast Value (2030) | USD 3718.34 Million |
Key Market Players |
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By Region |
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AI in Blockchain Market Trends
This plethora of enabling AI-based transformation to the blockchain market was due to the increasing demands for greater security, automation, and strong data analysis capabilities. The AI algorithms optimise the blockchain network in enhancing transaction validation, tracing illicit activities, and improving efficiency on smart contracts. Machine-learning models will identify the performance predictions of a blockchain network and automatically narrow down the consensus protocols and decision-making processes. The values AI and blockchain add together create new opportunities that reach many industries, such as finance, supply chain, and healthcare, in the applied combination of the two technologies with enhanced efficiency of operations. Another important trend in this area is building dApps for AI, which will benefit from the openness of blockchain applications and the analytics power of AI. These could include applications ranging from finance (predictive analysis for trading, for example) to supply chain management (optimising logistics or cutting down fraud). Such applications would contribute significantly to taking society towards smarter and more decentralised systems.AI in Blockchain Market Leading Players
The key players profiled in the report are Cyware, NeuroChain Tech, SingularityNET, BrustIQ, VYTALYX, Gainfy Healthcare Network, AlphaNetworks, Core Scientific, Inc., etObjex, Fetch.ai, Chainhaus, Inc., Hannah Systems, OthersGrowth Accelerators
Enhanced security, automation, and efficiency in blockchain networks are the main key drivers for AI in the blockchain market. AI contributes terribly to improving the security features of the blockchain by compromising its capacity to detect frauds, identify anomalies, and predict vulnerabilities, thereby strengthening trust in decentralised systems relating to them. Also, an AI-powered smart contract can automate very complex processes, making it easy to shorten the repetitive acts of transaction views for every other person involved, as well as improve the speed of transactions. This amalgamation of AI into business applications as a great source of motivation for making operations smoother or optimising their use of the blockchain cuts the competitive edge very clearly for performance and scalability. Another important factor leading to installation is the explosion of AI in its capabilities in data analytics and decision-making. Blockchain technology has a tremendous amount of data generation, and AI has been the best to tap this data into useful insights that later form the basis for strategic decision-making in the supply chain. It aimed toward improved customer experiences. The combination of AI and blockchain is changing the companies' business models and creating opportunities for new growth.AI in Blockchain Market Segmentation analysis
The Global AI in Blockchain is segmented by Application, and Region. . The Application segment categorizes the market based on its usage such as Smart Contracts, Payment and Settlement, Data Security, Data Sharing/Communication, Asset Tracking and Management, Logistics and Supply Chain Management, Business Process Optimization, Other Applications. Geographically, the market is assessed across key Regions like North America(United States, Canada, Mexico), South America(Brazil, Argentina, Chile, Rest of South America), Europe(Germany, France, Italy, United Kingdom, Benelux, Nordics, Rest of Europe), Asia Pacific(China, Japan, India, South Korea, Australia, Southeast Asia, Rest of Asia-Pacific), MEA(Middle East, Africa) and others, each presenting distinct growth opportunities and challenges influenced by the regions.Competitive Landscape
The increasingly competitive architecture within the AI and blockchain market has not been limited to established competitors. New high-technology entrants are coming up with possible blockchain startups and AI solutions providers. The technology giants such as IBM, Microsoft, and Google apply their experience in developing high-end innovative solutions based on AI and blockchain combined technology. They offer their intelligent features, which include blockchain platforms enhanced by artificial intelligence, aimed at improving automation, data security, and scalability, found mostly in the financial, supply chain, and health industries.Challenges In AI in Blockchain Market
A major challenge in the AI-in-blockchain market lies in the difficulty of blending these two technology elements. Blockchain is familiar to everyone for being able-bodied and safe; however, it suffers from certain speed constraints, which thwarts AI applications requiring great volumes of data processing and analytics in real-time. Besides, one could also imagine a computer that will spend a lot more power compared to what is available, turning to become a bottleneck under conditions of blockchain infrastructure, making AI models rather ineffective in environments of blockchain. A similar challenge would be the differences in the standards of AI and blockchain systems. The technologies that are flown under the roof of blockchain evolution, coupled with the emerging and developing platforms, are very likely divergent with AI applications, jeopardising firms' ability to implement and scale AI within different blockchain environments. All these speed bumps have contributed towards slow adoption of AI-enabled blockchain across several industries.Risks & Prospects in AI in Blockchain Market
Their synergy is huge, especially considering areas such as data security, automation, and decision-making for AI in the blockchain market. Optimising smart contracts, automating consensus mechanisms, and detecting anomalies or fraudulent activities for decentralised systems improve blockchain efficiency with AI. Analytics powered by AI can help blockchain networks better predict the market trends, user behaviour, and system performance, thus supporting the business interest in an economy-based sector like finance, supply chain, and healthcare. The adoption of blockchain across sectors like banking, insurance, and logistics creates a robust point for the merge with AI to enable new applications like better identity verification, DeFi, and automated regulatory compliance, thus creating market opportunities for AI and blockchain solution providers.Key Target Audience
The main audience focused on catching by AI with blockchain is mostly composed of business institutions across many sectors: these include finance, supply chain, health and wellness, and cybersecurity. Their aspirations are to increase operational efficiencies and data protection. In finance, various artificial intelligence-related blockchain applications streamline transactions, detect fraudulent activities, and optimise investment strategies. Demand prediction, process automation, and traceability are improved by applying AI through the secure, decentralised ledger in blockchain supply chains. In addition, healthcare providers need AI and blockchain to manage patients' health data securely with real-time analytics.,, The other audience is technology providers such as startups and big IT companies engaging in using AI and blockchain to meet the requirements of specific industries. These organisations assist clients in integrating artificial intelligence into blockchain systems for improving decision-making, automating processes, and enhancing overall performance. As both AI and blockchain technology get further evolution, the demand among different industries for integrated solutions is rapidly increasing.Merger and acquisition
The current mergers and acquisitions in the AI and blockchain market are targeted at embracing the uniqueness of the technologies to stimulate innovation and operational efficiency. An example of this is the merger between GammaRey and GoLogiq, which seeks to benefit from the emerging wealth market for younger generations, harnessing AI-driven analytics to understand consumer behaviour in the blockchain space. Organisations are indeed moving towards an application of AI in blockchain, which promises more efficient financial systems as they evolve with the increased demands of customers, particularly Generation Z and millennials. AI within blockchain is also active in terms of investment, as companies are entering into partnerships having realised the applicability of such technologies in making smart contracts, managing the supply chain, or securing data. The blockchain AI market is expected to grow significantly because of the increasing uptake of this technology from small and medium enterprises (SMEs), which enhances operational capabilities with it. >Analyst Comment
"The AI in Blockchain Market is swelling quickly nowadays on account of the growing demand for resource optimisation AI applications that are secure and transparent. The main elements driving this market are the improved security of data, the development of enhanced decision-making processes, and new AI-enabled service provision. The market is much diversified in application areas such as supply chain management, healthcare, finance, and cybersecurity. Major players are building solutions by bringing together the advantages of both AI and blockchain in the creation of efficient, secure, and trustworthy systems."- 1.1 Report description
- 1.2 Key market segments
- 1.3 Key benefits to the stakeholders
2: Executive Summary
- 2.1 AI in Blockchain- Snapshot
- 2.2 AI in Blockchain- Segment Snapshot
- 2.3 AI in Blockchain- Competitive Landscape Snapshot
3: Market Overview
- 3.1 Market definition and scope
- 3.2 Key findings
- 3.2.1 Top impacting factors
- 3.2.2 Top investment pockets
- 3.3 Porter’s five forces analysis
- 3.3.1 Low bargaining power of suppliers
- 3.3.2 Low threat of new entrants
- 3.3.3 Low threat of substitutes
- 3.3.4 Low intensity of rivalry
- 3.3.5 Low bargaining power of buyers
- 3.4 Market dynamics
- 3.4.1 Drivers
- 3.4.2 Restraints
- 3.4.3 Opportunities
4: AI in Blockchain Market by Application / by End Use
- 4.1 Overview
- 4.1.1 Market size and forecast
- 4.2 Smart Contracts
- 4.2.1 Key market trends, factors driving growth, and opportunities
- 4.2.2 Market size and forecast, by region
- 4.2.3 Market share analysis by country
- 4.3 Payment and Settlement
- 4.3.1 Key market trends, factors driving growth, and opportunities
- 4.3.2 Market size and forecast, by region
- 4.3.3 Market share analysis by country
- 4.4 Data Security
- 4.4.1 Key market trends, factors driving growth, and opportunities
- 4.4.2 Market size and forecast, by region
- 4.4.3 Market share analysis by country
- 4.5 Data Sharing/Communication
- 4.5.1 Key market trends, factors driving growth, and opportunities
- 4.5.2 Market size and forecast, by region
- 4.5.3 Market share analysis by country
- 4.6 Asset Tracking and Management
- 4.6.1 Key market trends, factors driving growth, and opportunities
- 4.6.2 Market size and forecast, by region
- 4.6.3 Market share analysis by country
- 4.7 Logistics and Supply Chain Management
- 4.7.1 Key market trends, factors driving growth, and opportunities
- 4.7.2 Market size and forecast, by region
- 4.7.3 Market share analysis by country
- 4.8 Business Process Optimization
- 4.8.1 Key market trends, factors driving growth, and opportunities
- 4.8.2 Market size and forecast, by region
- 4.8.3 Market share analysis by country
- 4.9 Other Applications
- 4.9.1 Key market trends, factors driving growth, and opportunities
- 4.9.2 Market size and forecast, by region
- 4.9.3 Market share analysis by country
5: AI in Blockchain Market by Technology
- 5.1 Overview
- 5.1.1 Market size and forecast
- 5.2 ML
- 5.2.1 Key market trends, factors driving growth, and opportunities
- 5.2.2 Market size and forecast, by region
- 5.2.3 Market share analysis by country
- 5.3 NLP
- 5.3.1 Key market trends, factors driving growth, and opportunities
- 5.3.2 Market size and forecast, by region
- 5.3.3 Market share analysis by country
- 5.4 Context-Aware Computing
- 5.4.1 Key market trends, factors driving growth, and opportunities
- 5.4.2 Market size and forecast, by region
- 5.4.3 Market share analysis by country
- 5.5 Computer Vision
- 5.5.1 Key market trends, factors driving growth, and opportunities
- 5.5.2 Market size and forecast, by region
- 5.5.3 Market share analysis by country
6: AI in Blockchain Market by Component
- 6.1 Overview
- 6.1.1 Market size and forecast
- 6.2 Platform/Tools
- 6.2.1 Key market trends, factors driving growth, and opportunities
- 6.2.2 Market size and forecast, by region
- 6.2.3 Market share analysis by country
- 6.3 Services
- 6.3.1 Key market trends, factors driving growth, and opportunities
- 6.3.2 Market size and forecast, by region
- 6.3.3 Market share analysis by country
7: AI in Blockchain Market by Region
- 7.1 Overview
- 7.1.1 Market size and forecast By Region
- 7.2 North America
- 7.2.1 Key trends and opportunities
- 7.2.2 Market size and forecast, by Type
- 7.2.3 Market size and forecast, by Application
- 7.2.4 Market size and forecast, by country
- 7.2.4.1 United States
- 7.2.4.1.1 Key market trends, factors driving growth, and opportunities
- 7.2.4.1.2 Market size and forecast, by Type
- 7.2.4.1.3 Market size and forecast, by Application
- 7.2.4.2 Canada
- 7.2.4.2.1 Key market trends, factors driving growth, and opportunities
- 7.2.4.2.2 Market size and forecast, by Type
- 7.2.4.2.3 Market size and forecast, by Application
- 7.2.4.3 Mexico
- 7.2.4.3.1 Key market trends, factors driving growth, and opportunities
- 7.2.4.3.2 Market size and forecast, by Type
- 7.2.4.3.3 Market size and forecast, by Application
- 7.2.4.1 United States
- 7.3 South America
- 7.3.1 Key trends and opportunities
- 7.3.2 Market size and forecast, by Type
- 7.3.3 Market size and forecast, by Application
- 7.3.4 Market size and forecast, by country
- 7.3.4.1 Brazil
- 7.3.4.1.1 Key market trends, factors driving growth, and opportunities
- 7.3.4.1.2 Market size and forecast, by Type
- 7.3.4.1.3 Market size and forecast, by Application
- 7.3.4.2 Argentina
- 7.3.4.2.1 Key market trends, factors driving growth, and opportunities
- 7.3.4.2.2 Market size and forecast, by Type
- 7.3.4.2.3 Market size and forecast, by Application
- 7.3.4.3 Chile
- 7.3.4.3.1 Key market trends, factors driving growth, and opportunities
- 7.3.4.3.2 Market size and forecast, by Type
- 7.3.4.3.3 Market size and forecast, by Application
- 7.3.4.4 Rest of South America
- 7.3.4.4.1 Key market trends, factors driving growth, and opportunities
- 7.3.4.4.2 Market size and forecast, by Type
- 7.3.4.4.3 Market size and forecast, by Application
- 7.3.4.1 Brazil
- 7.4 Europe
- 7.4.1 Key trends and opportunities
- 7.4.2 Market size and forecast, by Type
- 7.4.3 Market size and forecast, by Application
- 7.4.4 Market size and forecast, by country
- 7.4.4.1 Germany
- 7.4.4.1.1 Key market trends, factors driving growth, and opportunities
- 7.4.4.1.2 Market size and forecast, by Type
- 7.4.4.1.3 Market size and forecast, by Application
- 7.4.4.2 France
- 7.4.4.2.1 Key market trends, factors driving growth, and opportunities
- 7.4.4.2.2 Market size and forecast, by Type
- 7.4.4.2.3 Market size and forecast, by Application
- 7.4.4.3 Italy
- 7.4.4.3.1 Key market trends, factors driving growth, and opportunities
- 7.4.4.3.2 Market size and forecast, by Type
- 7.4.4.3.3 Market size and forecast, by Application
- 7.4.4.4 United Kingdom
- 7.4.4.4.1 Key market trends, factors driving growth, and opportunities
- 7.4.4.4.2 Market size and forecast, by Type
- 7.4.4.4.3 Market size and forecast, by Application
- 7.4.4.5 Benelux
- 7.4.4.5.1 Key market trends, factors driving growth, and opportunities
- 7.4.4.5.2 Market size and forecast, by Type
- 7.4.4.5.3 Market size and forecast, by Application
- 7.4.4.6 Nordics
- 7.4.4.6.1 Key market trends, factors driving growth, and opportunities
- 7.4.4.6.2 Market size and forecast, by Type
- 7.4.4.6.3 Market size and forecast, by Application
- 7.4.4.7 Rest of Europe
- 7.4.4.7.1 Key market trends, factors driving growth, and opportunities
- 7.4.4.7.2 Market size and forecast, by Type
- 7.4.4.7.3 Market size and forecast, by Application
- 7.4.4.1 Germany
- 7.5 Asia Pacific
- 7.5.1 Key trends and opportunities
- 7.5.2 Market size and forecast, by Type
- 7.5.3 Market size and forecast, by Application
- 7.5.4 Market size and forecast, by country
- 7.5.4.1 China
- 7.5.4.1.1 Key market trends, factors driving growth, and opportunities
- 7.5.4.1.2 Market size and forecast, by Type
- 7.5.4.1.3 Market size and forecast, by Application
- 7.5.4.2 Japan
- 7.5.4.2.1 Key market trends, factors driving growth, and opportunities
- 7.5.4.2.2 Market size and forecast, by Type
- 7.5.4.2.3 Market size and forecast, by Application
- 7.5.4.3 India
- 7.5.4.3.1 Key market trends, factors driving growth, and opportunities
- 7.5.4.3.2 Market size and forecast, by Type
- 7.5.4.3.3 Market size and forecast, by Application
- 7.5.4.4 South Korea
- 7.5.4.4.1 Key market trends, factors driving growth, and opportunities
- 7.5.4.4.2 Market size and forecast, by Type
- 7.5.4.4.3 Market size and forecast, by Application
- 7.5.4.5 Australia
- 7.5.4.5.1 Key market trends, factors driving growth, and opportunities
- 7.5.4.5.2 Market size and forecast, by Type
- 7.5.4.5.3 Market size and forecast, by Application
- 7.5.4.6 Southeast Asia
- 7.5.4.6.1 Key market trends, factors driving growth, and opportunities
- 7.5.4.6.2 Market size and forecast, by Type
- 7.5.4.6.3 Market size and forecast, by Application
- 7.5.4.7 Rest of Asia-Pacific
- 7.5.4.7.1 Key market trends, factors driving growth, and opportunities
- 7.5.4.7.2 Market size and forecast, by Type
- 7.5.4.7.3 Market size and forecast, by Application
- 7.5.4.1 China
- 7.6 MEA
- 7.6.1 Key trends and opportunities
- 7.6.2 Market size and forecast, by Type
- 7.6.3 Market size and forecast, by Application
- 7.6.4 Market size and forecast, by country
- 7.6.4.1 Middle East
- 7.6.4.1.1 Key market trends, factors driving growth, and opportunities
- 7.6.4.1.2 Market size and forecast, by Type
- 7.6.4.1.3 Market size and forecast, by Application
- 7.6.4.2 Africa
- 7.6.4.2.1 Key market trends, factors driving growth, and opportunities
- 7.6.4.2.2 Market size and forecast, by Type
- 7.6.4.2.3 Market size and forecast, by Application
- 7.6.4.1 Middle East
- 8.1 Overview
- 8.2 Key Winning Strategies
- 8.3 Top 10 Players: Product Mapping
- 8.4 Competitive Analysis Dashboard
- 8.5 Market Competition Heatmap
- 8.6 Leading Player Positions, 2022
9: Company Profiles
- 9.1 Cyware
- 9.1.1 Company Overview
- 9.1.2 Key Executives
- 9.1.3 Company snapshot
- 9.1.4 Active Business Divisions
- 9.1.5 Product portfolio
- 9.1.6 Business performance
- 9.1.7 Major Strategic Initiatives and Developments
- 9.2 NeuroChain Tech
- 9.2.1 Company Overview
- 9.2.2 Key Executives
- 9.2.3 Company snapshot
- 9.2.4 Active Business Divisions
- 9.2.5 Product portfolio
- 9.2.6 Business performance
- 9.2.7 Major Strategic Initiatives and Developments
- 9.3 SingularityNET
- 9.3.1 Company Overview
- 9.3.2 Key Executives
- 9.3.3 Company snapshot
- 9.3.4 Active Business Divisions
- 9.3.5 Product portfolio
- 9.3.6 Business performance
- 9.3.7 Major Strategic Initiatives and Developments
- 9.4 BrustIQ
- 9.4.1 Company Overview
- 9.4.2 Key Executives
- 9.4.3 Company snapshot
- 9.4.4 Active Business Divisions
- 9.4.5 Product portfolio
- 9.4.6 Business performance
- 9.4.7 Major Strategic Initiatives and Developments
- 9.5 VYTALYX
- 9.5.1 Company Overview
- 9.5.2 Key Executives
- 9.5.3 Company snapshot
- 9.5.4 Active Business Divisions
- 9.5.5 Product portfolio
- 9.5.6 Business performance
- 9.5.7 Major Strategic Initiatives and Developments
- 9.6 Gainfy Healthcare Network
- 9.6.1 Company Overview
- 9.6.2 Key Executives
- 9.6.3 Company snapshot
- 9.6.4 Active Business Divisions
- 9.6.5 Product portfolio
- 9.6.6 Business performance
- 9.6.7 Major Strategic Initiatives and Developments
- 9.7 AlphaNetworks
- 9.7.1 Company Overview
- 9.7.2 Key Executives
- 9.7.3 Company snapshot
- 9.7.4 Active Business Divisions
- 9.7.5 Product portfolio
- 9.7.6 Business performance
- 9.7.7 Major Strategic Initiatives and Developments
- 9.8 Core Scientific
- 9.8.1 Company Overview
- 9.8.2 Key Executives
- 9.8.3 Company snapshot
- 9.8.4 Active Business Divisions
- 9.8.5 Product portfolio
- 9.8.6 Business performance
- 9.8.7 Major Strategic Initiatives and Developments
- 9.9 Inc.
- 9.9.1 Company Overview
- 9.9.2 Key Executives
- 9.9.3 Company snapshot
- 9.9.4 Active Business Divisions
- 9.9.5 Product portfolio
- 9.9.6 Business performance
- 9.9.7 Major Strategic Initiatives and Developments
- 9.10 etObjex
- 9.10.1 Company Overview
- 9.10.2 Key Executives
- 9.10.3 Company snapshot
- 9.10.4 Active Business Divisions
- 9.10.5 Product portfolio
- 9.10.6 Business performance
- 9.10.7 Major Strategic Initiatives and Developments
- 9.11 Fetch.ai
- 9.11.1 Company Overview
- 9.11.2 Key Executives
- 9.11.3 Company snapshot
- 9.11.4 Active Business Divisions
- 9.11.5 Product portfolio
- 9.11.6 Business performance
- 9.11.7 Major Strategic Initiatives and Developments
- 9.12 Chainhaus
- 9.12.1 Company Overview
- 9.12.2 Key Executives
- 9.12.3 Company snapshot
- 9.12.4 Active Business Divisions
- 9.12.5 Product portfolio
- 9.12.6 Business performance
- 9.12.7 Major Strategic Initiatives and Developments
- 9.13 Inc.
- 9.13.1 Company Overview
- 9.13.2 Key Executives
- 9.13.3 Company snapshot
- 9.13.4 Active Business Divisions
- 9.13.5 Product portfolio
- 9.13.6 Business performance
- 9.13.7 Major Strategic Initiatives and Developments
- 9.14 Hannah Systems
- 9.14.1 Company Overview
- 9.14.2 Key Executives
- 9.14.3 Company snapshot
- 9.14.4 Active Business Divisions
- 9.14.5 Product portfolio
- 9.14.6 Business performance
- 9.14.7 Major Strategic Initiatives and Developments
- 9.15 Others
- 9.15.1 Company Overview
- 9.15.2 Key Executives
- 9.15.3 Company snapshot
- 9.15.4 Active Business Divisions
- 9.15.5 Product portfolio
- 9.15.6 Business performance
- 9.15.7 Major Strategic Initiatives and Developments
10: Analyst Perspective and Conclusion
- 10.1 Concluding Recommendations and Analysis
- 10.2 Strategies for Market Potential
Scope of Report
Aspects | Details |
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By Application |
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By Technology |
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By Component |
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Frequently Asked Questions (FAQ):
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