Blockchain AI Market Size, Share, Opportunities, and Trends By Component (Platform, Services), By Application (Data Security, Supply Chain Management, Authenticity Verification, Data Analytics, Financial Services, Healthcare, Transparency, Decentralised Data Storage, Smart Contract Development, Others), By Deployment (Cloud-Based, On-Premise), By End-User (Manufacturing, Energy & Utilities, Transportation & Logistics, Healthcare, BFSI, IT and Telecommunication, Others), And By Geography – Forecasts From 2025 To 2030

Blockchain AI Market Size:

The blockchain AI market is expected to grow steadily over the forecasted timeframe.

The market for blockchain AI is growing at a steady rate. This is because organisations are exploring the combined potential of artificial intelligence and blockchain. The combination will enhance data security, transparency, and automation. AI brings powerful data processing while blockchain offers decentralised, tamper-proof record-keeping. There is an increase in the adoption of blockchain AI across sectors such as finance, healthcare, supply chain, and cybersecurity. AI can easily help detect fraud, and blockchain can ensure the integrity and traceability of those transactions. These combinations have applications in data sharing across multiple stakeholders. Blockchain AI helps in ensuring data privacy and algorithmic transparency.

Governments and enterprises are also exploring blockchain-AI integration to ensure compliance, reduce operational risk, and enhance decision-making. This market will provide various sectors with smarter, more secure, and autonomous systems. The blockchain AI market is expected to expand rapidly in the coming years due to increasing digitalisation.

Blockchain AI Market Overview & Scope:

The blockchain AI is segmented by:

• Component: The platform segment holds a major share of the blockchain AI market primarily because it serves as the foundational layer that integrates both technologies, enabling scalable and customizable solutions across industries.
• Application: Supply chain is expected to have a considerable share of the blockchain AI market. This is due to the growing need for transparency, efficiency, and real-time decision-making. Blockchain AI enable smarter, more secure, and resilient supply chain operations. Industries such as pharmaceuticals, food and beverage, and manufacturing are adopting blockchain-AI solutions. These solutions help to combat counterfeiting, reduce delays, and ensure compliance with global standards.
• Deployment: Cloud-based solutions hold a substantial share of the blockchain AI market. This is due to scalability, flexibility, and the ability to support complex computing tasks of such platforms. These platforms have the infrastructure to manage both AI and blockchain. This is especially beneficial for startups and enterprises aiming to accelerate innovation while maintaining cost-efficiency
• End User: Financial services hold a significant share of the blockchain AI market. This is because of the high demand for secure, transparent, and efficient processes. Banks and fintech companies are leveraging this combination to enhance trust, reduce operational costs, and offer personalised financial products. Smart contracts help to make insurance claims and trade finance better.
• Region: The Asia-Pacific blockchain AI market is witnessing strong growth. There has been an increase in demand for secure, transparent, and intelligent digital systems. Countries like China and India are investing in blockchain and AI technologies. They have application sectors such as finance, healthcare, and supply chain management.

Top Trends Shaping the Blockchain AI Market:

1. Emergence of Decentralised AI Marketplaces: A trend in the blockchain AI market is the emergence of decentralised AI marketplaces. Platforms are being developed to enable secure, peer-to-peer exchange of AI models and datasets using blockchain

2. AI-Powered Smart Contracts- Another significant trend is the adoption of AI-powered smart contracts. Smart contracts are evolving with AI capabilities that allow them to make dynamic decisions based on real-time data

3. Focus on Explainable and Trustworthy AI: There has been an increase in focus on explainable and trustworthy AI. With rising concerns about AI bias and lack of transparency, blockchain is being used to create auditable records of AI decisions.

Blockchain AI Market Growth Drivers vs. Challenges:

Drivers:

• Rising Demand for Data Security and Transparency: One of the key drivers of blockchain AI is the rise in demand for data security and transparency. AI systems increasingly rely on large volumes of sensitive data, and concerns about data integrity, privacy, and unauthorised access are growing. According to the United Nations Office on Drugs and Crime, cyber-enabled fraud has highly affected victims in East and Southeast Asia can creating losses of between US$18 billion and US$37 billion in 2023.
• Growth of Decentralised AI Applications and Smart Contracts: Another key driver of blockchain AI is the growth of decentralised AI applications and smart contracts. AI models can be deployed in a decentralised manner, enabling peer-to-peer data exchange and computation without relying on centralised authorities. In June 2025, Ripple announced the launch of the XRPL EVM sidechain. This launch will bring smart contract capability to the XRP ledger ecosystem. This can lead to increase in demand for blockchain AI to provide secure and transparent AI solutions.

Challenges:

• Scalability and Computational Complexity: One of the major challenges of the blockchain AI market is scalability and computational complexity. Blockchain and AI require significant processing power.  Blockchain needs it for maintaining distributed ledgers and consensus mechanisms. AI needs it to train and run complex models. Integrating the two can lead to bad performance, slow transaction speeds, and increased energy consumption. This makes real-time processing and large-scale deployment slow. The lack of standardisation and interoperability between blockchain platforms and AI frameworks poses integration challenges. There is also a shortage of skilled professionals who understand both technologies deeply. Overcoming these hurdles will increase the adoption of blockchain AI.

Blockchain AI Market Regional Analysis:

• United States: The USA is dominating the blockchain AI market. This is because of a robust technological infrastructure, high investment in AI and blockchain
• Germany: Germany is considered a key player in the blockchain AI market. The country has a Strong industrial base, government funding for AI and blockchain and leadership in automotive and manufacturing.
• China:  China is the fastest-growing region in the blockchain AI market. Government-backed blockchain initiatives, the massive manufacturing sector, and heavy AI adoption.
• United Kingdom: The UK is growing steadily. This is because of the growing adoption of blockchain in finance and supply chain, increasing AI investments, and government support for digital innovation

Blockchain AI Market Competitive Landscape:

The market has many notable players, including BurstIQ, Figure Technologies, Core Scientific, Fetch.ai, IBM, Bext 360, Chainhaus, NetObjex, SingularityNET, and LeewayHertz, among others.

• Product Launch: In June 2025, Antier took the initiative to integrate AI into its blockchain development services. Antier has taken this initiative to operate, adapt, and serve better. This integration will be applicable across various industries.
• Product Launch: In March 2025, EY announced the launch of new AI capabilities to its EY Blockchain Analyser. This will help improve vulnerability detection and streamline smart contract reviews. It will reduce the review time of EY teams by 50%.

Blockchain AI Market Segmentation:

By Component

• Platform
• Services

By Application

• Data Security
• Supply Chain Management
• Authenticity Verification
• Data Analytics
• Financial Services
• Healthcare
• Transparency
• Decentralised Data Storage
• Smart Contract Development
• Others

By Deployment

• Cloud-Based
• On-premise

By End-User

• Manufacturing
• Energy & Utilities
• Transportation & Logistics
• Healthcare
• BFSI
• IT and Telecommunication
• Others

By Region

• North America
  • USA
  • Canada
  • Mexico
• South America
  • Brazil
  • Argentina
  • Others
• Europe
  • United Kingdom
  • Germany
  • France
  • Italy
  • Spain
  • Others
• Middle East & Africa
  • Saudi Arabia
  • UAE
  • Others
• Asia Pacific
  • China
  • India
  • Japan
  • South Korea
  • Thailand
  • Others

1. EXECUTIVE SUMMARY 

2. MARKET SNAPSHOT

2.1. Market Overview

2.2. Market Definition

2.3. Scope of the Study

2.4. Market Segmentation

3. BUSINESS LANDSCAPE 

3.1. Market Drivers

3.2. Market Restraints

3.3. Market Opportunities 

3.4. Porter’s Five Forces Analysis

3.5. Industry Value Chain Analysis

3.6. Policies and Regulations 

3.7. Strategic Recommendations 

4. TECHNOLOGICAL OUTLOOK 

5. BLOCKCHAIN AI MARKET BY COMPONENT

5.1. Introduction

5.2. Platform 

5.3. Services

6. BLOCKCHAIN AI MARKET BY APPLICATION

6.1. Introduction

6.2. Security

6.3. Supply Chain

6.4. Authenticity Verification

6.5. Data Analytics

6.6. Financial Services

6.7. Healthcare

6.8. Transparency

6.9. Decentralised Data Storage

6.10. Smart Contract Development

6.11. Others

7. BLOCKCHAIN AI MARKET BY DEPLOYMENT

7.1. Introduction

7.2. Cloud-Based

7.3. On-premise

8. BLOCKCHAIN AI MARKET BY END-USER

8.1. Introduction

8.2. Manufacturing

8.3. Energy & Utilities

8.4. Transportation & Logistics

8.5. Healthcare

8.6. BFSI

8.7. IT & Telecommunication

8.8. Others

9.  BLOCKCHAIN AI MARKET BY GEOGRAPHY

9.1. Introduction

9.2. North America

9.2.1. USA

9.2.2. Canada

9.2.3. Mexico

9.3. South America

9.3.1. Brazil 

9.3.2. Argentina

9.3.3. Others

9.4. Europe

9.4.1. United Kingdom

9.4.2. Germany

9.4.3. France

9.4.4. Italy

9.4.5. Spain

9.4.6. Others

9.5. Middle East & Africa

9.5.1. Saudi Arabia

9.5.2. UAE

9.5.3. Others

9.6. Asia Pacific

9.6.1. China

9.6.2. India

9.6.3. Japan

9.6.4. South Korea

9.6.5. Thailand

9.6.6. Others

10. COMPETITIVE ENVIRONMENT AND ANALYSIS

10.1. Major Players and Strategy Analysis

10.2. Market Share Analysis

10.3. Mergers, Acquisitions, Agreements, and Collaborations

10.4. Competitive Dashboard

11. COMPANY PROFILES

11.1. BurstIQ

11.2. Figure Technologies

11.3. Core Scientific

11.4. Fetch.ai

11.5. IBM

11.6. Bext Holdings Inc.

11.7. Chainhaus

11.8. NetObjex 

11.9. SingularityNET

11.10. LeewayHertz

12. APPENDIX

12.1. Currency 

12.2. Assumptions

12.3. Base and Forecast Years Timeline

12.4. Key benefits for the stakeholders

12.5. Research Methodology 

12.6. Abbreviations 

BurstIQ 

Figure Technologies 

Core Scientific 

Fetch.ai 

IBM 

Bext Holdings Inc. 

Chainhaus 

NetObjex  

SingularityNET 

LeewayHertz