AI Trading Platform Market Size, Share, and Trends 2025 to 2034

The global AI trading platform market size is calculated at USD 13.52 billion in 2025 and is forecasted to reach around USD 69.95 billion by 2034, accelerating at a CAGR of 20.04% from 2025 to 2034. The North America market size surpassed USD 4.28 billion in 2024 and is expanding at a CAGR of 20.19% during the forecast period. The market sizing and forecasts are revenue-based (USD Million/Billion), with 2024 as the base year.

  • Last Updated : June 2025
  • Report Code : 6167
  • Category : ICT

Chapter 1. Introduction

1.1. Research Objective

1.2. Scope of the Study

1.3. Definition

Chapter 2. Research Methodology

2.1. Research Approach

2.2. Data Sources

2.3. Assumptions & Limitations

Chapter 3. Executive Summary

3.1. Market Snapshot

Chapter 4. Market Variables and Scope 

4.1. Introduction

4.2. Market Classification and Scope

4.3. Industry Value Chain Analysis

4.3.1. Raw Material Procurement Analysis 

4.3.2. Sales and Distribution Channel Analysis

4.3.3. Downstream Buyer Analysis

Chapter 5. COVID 19 Impact on AI Trading Platform Market 

5.1. COVID-19 Landscape: AI Trading Platform Industry Impact

5.2. COVID 19 - Impact Assessment for the Industry

5.3. COVID 19 Impact: Global Major Government Policy

5.4. Market Trends and Opportunities in the COVID-19 Landscape

6.1. Market Dynamics

6.1.1. Market Drivers

6.1.2. Market Restraints

6.1.3. Market Opportunities

6.2. Porter’s Five Forces Analysis

6.2.1. Bargaining power of suppliers

6.2.2. Bargaining power of buyers

6.2.3. Threat of substitute

6.2.4. Threat of new entrants

6.2.5. Degree of competition

Chapter 7. Competitive Landscape

7.1.1. Company Market Share/Positioning Analysis

7.1.2. Key Strategies Adopted by Players

7.1.3. Vendor Landscape

7.1.3.1. List of Suppliers

7.1.3.2. List of Buyers

Chapter 8. Global AI Trading Platform Market, By Application

8.1. AI Trading Platform Market Revenue and Volume Forecast, by Application

8.1.1. Algorithmic Trading

8.1.1.1. Market Revenue and Volume Forecast

8.1.2. Robo-Advisory Services

8.1.2.1. Market Revenue and Volume Forecast

8.1.3. Market Forecasting

8.1.3.1. Market Revenue and Volume Forecast

8.1.4. Risk Management

8.1.4.1. Market Revenue and Volume Forecast

8.1.5. Others

8.1.5.1. Market Revenue and Volume Forecast

Chapter 9. Global AI Trading Platform Market, By Interface Type

9.1. AI Trading Platform Market Revenue and Volume Forecast, by Interface Type

9.1.1. Web Based

9.1.1.1. Market Revenue and Volume Forecast

9.1.2. App-Based

9.1.2.1. Market Revenue and Volume Forecast

Chapter 10. Global AI Trading Platform Market, By Deployment

10.1. AI Trading Platform Market Revenue and Volume Forecast, by Deployment

10.1.1. Cloud

10.1.1.1. Market Revenue and Volume Forecast

10.1.2. On-premises

10.1.2.1. Market Revenue and Volume Forecast

Chapter 11. Global AI Trading Platform Market, By End Use 

11.1. AI Trading Platform Market Revenue and Volume Forecast, by End Use

11.1.1. Retail Investors 

11.1.1.1. Market Revenue and Volume Forecast

11.1.2. Institutional Investors

11.1.2.1. Market Revenue and Volume Forecast

11.1.3. Hedge Funds

11.1.3.1. Market Revenue and Volume Forecast

11.1.4. Brokerage Firms

11.1.4.1. Market Revenue and Volume Forecast

11.1.5. Others

11.1.5.1. Market Revenue and Volume Forecast

Chapter 12. Global AI Trading Platform Market, Regional Estimates and Trend Forecast

12.1. North America

12.1.1. Market Revenue and Volume Forecast, by Application

12.1.2. Market Revenue and Volume Forecast, by Interface Type

12.1.3. Market Revenue and Volume Forecast, by Deployment

12.1.4. Market Revenue and Volume Forecast, by End Use

12.1.5. U.S.

12.1.5.1. Market Revenue and Volume Forecast, by Application

12.1.5.2. Market Revenue and Volume Forecast, by Interface Type

12.1.5.3. Market Revenue and Volume Forecast, by Deployment

12.1.5.4. Market Revenue and Volume Forecast, by End Use

12.1.6. Rest of North America

12.1.6.1. Market Revenue and Volume Forecast, by Application

12.1.6.2. Market Revenue and Volume Forecast, by Interface Type

12.1.6.3. Market Revenue and Volume Forecast, by Deployment

12.1.6.4. Market Revenue and Volume Forecast, by End Use

12.2. Europe

12.2.1. Market Revenue and Volume Forecast, by Application

12.2.2. Market Revenue and Volume Forecast, by Interface Type

12.2.3. Market Revenue and Volume Forecast, by Deployment

12.2.4. Market Revenue and Volume Forecast, by End Use

12.2.5. UK

12.2.5.1. Market Revenue and Volume Forecast, by Application

12.2.5.2. Market Revenue and Volume Forecast, by Interface Type

12.2.5.3. Market Revenue and Volume Forecast, by Deployment

12.2.5.4. Market Revenue and Volume Forecast, by End Use

12.2.6. Germany

12.2.6.1. Market Revenue and Volume Forecast, by Application

12.2.6.2. Market Revenue and Volume Forecast, by Interface Type

12.2.6.3. Market Revenue and Volume Forecast, by Deployment

12.2.6.4. Market Revenue and Volume Forecast, by End Use

12.2.7. France

12.2.7.1. Market Revenue and Volume Forecast, by Application

12.2.7.2. Market Revenue and Volume Forecast, by Interface Type

12.2.7.3. Market Revenue and Volume Forecast, by Deployment

12.2.7.4. Market Revenue and Volume Forecast, by End Use

12.2.8. Rest of Europe

12.2.8.1. Market Revenue and Volume Forecast, by Application

12.2.8.2. Market Revenue and Volume Forecast, by Interface Type

12.2.8.3. Market Revenue and Volume Forecast, by Deployment

12.2.8.4. Market Revenue and Volume Forecast, by End Use

12.3. APAC

12.3.1. Market Revenue and Volume Forecast, by Application

12.3.2. Market Revenue and Volume Forecast, by Interface Type

12.3.3. Market Revenue and Volume Forecast, by Deployment

12.3.4. Market Revenue and Volume Forecast, by End Use

12.3.5. India

12.3.5.1. Market Revenue and Volume Forecast, by Application

12.3.5.2. Market Revenue and Volume Forecast, by Interface Type

12.3.5.3. Market Revenue and Volume Forecast, by Deployment

12.3.5.4. Market Revenue and Volume Forecast, by End Use

12.3.6. China

12.3.6.1. Market Revenue and Volume Forecast, by Application

12.3.6.2. Market Revenue and Volume Forecast, by Interface Type

12.3.6.3. Market Revenue and Volume Forecast, by Deployment

12.3.6.4. Market Revenue and Volume Forecast, by End Use

12.3.7. Japan

12.3.7.1. Market Revenue and Volume Forecast, by Application

12.3.7.2. Market Revenue and Volume Forecast, by Interface Type

12.3.7.3. Market Revenue and Volume Forecast, by Deployment

12.3.7.4. Market Revenue and Volume Forecast, by End Use

12.3.8. Rest of APAC

12.3.8.1. Market Revenue and Volume Forecast, by Application

12.3.8.2. Market Revenue and Volume Forecast, by Interface Type

12.3.8.3. Market Revenue and Volume Forecast, by Deployment

12.3.8.4. Market Revenue and Volume Forecast, by End Use

12.4. MEA

12.4.1. Market Revenue and Volume Forecast, by Application

12.4.2. Market Revenue and Volume Forecast, by Interface Type

12.4.3. Market Revenue and Volume Forecast, by Deployment

12.4.4. Market Revenue and Volume Forecast, by End Use

12.4.5. GCC

12.4.5.1. Market Revenue and Volume Forecast, by Application

12.4.5.2. Market Revenue and Volume Forecast, by Interface Type

12.4.5.3. Market Revenue and Volume Forecast, by Deployment

12.4.5.4. Market Revenue and Volume Forecast, by End Use

12.4.6. North Africa

12.4.6.1. Market Revenue and Volume Forecast, by Application

12.4.6.2. Market Revenue and Volume Forecast, by Interface Type

12.4.6.3. Market Revenue and Volume Forecast, by Deployment

12.4.6.4. Market Revenue and Volume Forecast, by End Use

12.4.7. South Africa

12.4.7.1. Market Revenue and Volume Forecast, by Application

12.4.7.2. Market Revenue and Volume Forecast, by Interface Type

12.4.7.3. Market Revenue and Volume Forecast, by Deployment

12.4.7.4. Market Revenue and Volume Forecast, by End Use

12.4.8. Rest of MEA

12.4.8.1. Market Revenue and Volume Forecast, by Application

12.4.8.2. Market Revenue and Volume Forecast, by Interface Type

12.4.8.3. Market Revenue and Volume Forecast, by Deployment

12.4.8.4. Market Revenue and Volume Forecast, by End Use

12.5. Latin America

12.5.1. Market Revenue and Volume Forecast, by Application

12.5.2. Market Revenue and Volume Forecast, by Interface Type

12.5.3. Market Revenue and Volume Forecast, by Deployment

12.5.4. Market Revenue and Volume Forecast, by End Use

12.5.5. Brazil

12.5.5.1. Market Revenue and Volume Forecast, by Application

12.5.5.2. Market Revenue and Volume Forecast, by Interface Type

12.5.5.3. Market Revenue and Volume Forecast, by Deployment

12.5.5.4. Market Revenue and Volume Forecast, by End Use

12.5.6. Rest of LATAM

12.5.6.1. Market Revenue and Volume Forecast, by Application

12.5.6.2. Market Revenue and Volume Forecast, by Interface Type

12.5.6.3. Market Revenue and Volume Forecast, by Deployment

12.5.6.4. Market Revenue and Volume Forecast, by End Use

Chapter 13. Company Profiles

13.1. Kavout

13.1.1. Company Overview

13.1.2. Product Offerings

13.1.3. Financial Performance

13.1.4. Recent Initiatives

13.2. Numerai, Inc.

13.2.1. Company Overview

13.2.2. Product Offerings

13.2.3. Financial Performance

13.2.4. Recent Initiatives

13.3. Algotraders

13.3.1. Company Overview

13.3.2. Product Offerings

13.3.3. Financial Performance

13.3.4. Recent Initiatives

13.4. Tickeron Inc.

13.4.1. Company Overview

13.4.2. Product Offerings

13.4.3. Financial Performance

13.4.4. Recent Initiatives

13.5. MetaQuotes Ltd

13.5.1. Company Overview

13.5.2. Product Offerings

13.5.3. Financial Performance

13.5.4. Recent Initiatives

13.6. SAS Institute

13.6.1. Company Overview

13.6.2. Product Offerings

13.6.3. Financial Performance

13.6.4. Recent Initiatives

13.7. Oracle

13.7.1. Company Overview

13.7.2. Product Offerings

13.7.3. Financial Performance

13.7.4. Recent Initiatives

13.8. JP Morgan Chase

13.8.1. Company Overview

13.8.2. Product Offerings

13.8.3. Financial Performance

13.8.4. Recent Initiatives

13.9. Alpaca Securities LLC         

13.9.1. Company Overview

13.9.2. Product Offerings

13.9.3. Financial Performance

13.9.4. Recent Initiatives

13.10. Wealthfront Corporation

13.10.1. Company Overview

13.10.2. Product Offerings

13.10.3. Financial Performance

13.10.4. Recent Initiatives

Chapter 14. Research Methodology

14.1. Primary Research

14.2. Secondary Research

14.3. Assumptions

Chapter 15. Appendix

15.1. About Us

15.2. Glossary of Terms

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Frequently Asked Questions

The global AI trading platform market is expected to increase from USD 11.26 billion in 2024 to USD 69.95 billion by 2034.

The AI trading platform market is expected to grow at a compound annual growth rate (CAGR) of around 20.04% from 2025 to 2034

The major players in the AI trading platform market include Kavout, Numerai, Inc., Algotraders, Tickeron Inc., MetaQuotes Ltd, SAS Institute, Oracle, JP Morgan Chase, Trade Ideas LLC, Alpaca Securities LLC, Wealthfront Corporation, TradingView, Inc., and ProRealTime SAS.

The driving factors of the AI trading platform market are the platforms offer customizable solutions to cater to diverse trading strategies and are increasingly accessible to retail investors, equalizing advanced trading tools.

North America region will lead the global AI trading platform market during the forecast period 2025 to 2034.

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