Industry: Service & Software
Published Date: 2025-04-10
Pages: 107 Pages
Report ld: 4026167
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Artificial Intelligence in Trading Market Size(US$)

CAGR 2025-2031
10.4%
Market Size,2031
USD 256
Million
Market Snapshot
Source: Secondary research, interviews with experts, and QYResearch analysis
The global Artificial Intelligence in Trading market size was US$ 154 million in 2024 and is forecast to a readjusted size of US$ 256 million by 2031 with a CAGR of 10.4% during the forecast period 2025-2031.
Implementation of artificial intelligence technology in trading or stock market change the overall shape of stock market. Artificial intelligence (AI) in the form of robo-advisers has already entered into the trading market. A robo-adviser simplifies the trading work flow, as it analyzes millions of data points and executes trades at the optimal price.Implementation of an AI platform for trading enables easy identification of complex trading patterns on a massive scale across multiple markets in real-time. It also makes daily workflow easier, improves business processes, increases contact center interaction, and reduces communication complexity.
The global Artificial Intelligence in Trading market is in a period of rapid growth, with the core driving force coming from the increased penetration of institutional quantitative strategies and the surge in demand for automated tools from retail investors. On the technical level, multimodal AI integrates text, image and voice data to generate investment insights, reinforcement learning optimizes high-frequency market-making strategies, and alternative data applications (satellite images, supply chain sensors) become the key to differentiated competition. In terms of regional structure, North America dominates the development of high-frequency algorithms, accounting for more than 40%, the Asia-Pacific retail market leads in growth (China restricts quantitative high frequency but promotes smart investment advisors), and Europe is driven by MiFID II regulation to drive compliance technology demand. Despite the huge market potential, overfitting risks), regulatory pressure (the EU AI Act requires algorithm transparency) and data monopoly (head institutions invest more than US$50 million annually to purchase exclusive data) are still the main challenges. In the future, generative AI will reconstruct investment research processes, quantum computing will optimize portfolio strategies, and ESG factor AI (such as Arabesque carbon emission forecasts) will become the direction of breakthrough, while small and medium-sized platforms may be eliminated faster due to technical barriers and cost pressures.
The global Artificial Intelligence in Trading market is strategically segmented by company, region (country), by Type, and by Application. This report empowers stakeholders to capitalize on emerging opportunities, optimize product strategies, and outperform competitors through data-driven insights on revenue and forecasts across regions, by Type, and by Application for 2020-2031.
MARKET SEGMENTATION
CHAPTER OUTLINE
Chapter 1: Report scope, executive summary, and market evolution scenarios (short/mid/long term).
Chapter 2: Quantitative analysis of Artificial Intelligence in Trading market size and growth potential at global, regional, and country levels.
Chapter 3: Competitive benchmarking of manufacturers (revenue, market share, M&A, R&D focus).
Chapter 4: Type-based segmentation analysis – Uncovering blue ocean markets (e.g., Trade Execution in China).
Chapter 5: Application-based segmentation analysis – High-growth downstream opportunities (e.g., Organization in India).
Chapter 6: Regional revenue breakdown by company, type, application and customer.
Chapter 7: Key manufacturer profiles – Financials, product portfolios, and strategic developments.
Chapter 8: Market dynamics – Drivers, restraints, regulatory impacts, and risk mitigation strategies.
Chapter 9: Actionable conclusions and strategic recommendations.
WHY THIS REPORT
Beyond standard market data, this analysis provides a clear profitability roadmap, empowering you to:
Unlike generic global market reports, this study combines macro-level industry trends with hyper-local operational intelligence, empowering data-driven decisions across the Artificial Intelligence in Trading value chain, addressing:
- Market entry risks/opportunities by region
- Product mix optimization based on local practices
- Competitor tactics in fragmented vs. consolidated markets
QYRESEARCH'S STRENGTHS
Unlike generic global market reports, this study combines macro-level industry trends with hyper-local operational intelligence, empowering data-driven decisions across the Compound Chocolate value chain, addressing:
We identify regional market threats and growth prospects to guide your overseas layout.
We adjust product portfolios in line with local consumption habits.
We unpack rivals’ operation strategies for scattered and highly concentrated industries.
We cover competition landscape, full supply chain and quantified market size data, and deliver tailor-made customized surveys to meet your unique business demands.
We own self-owned massive exclusive databases, backed by 19 years of global market research experience across thousands of sectors.
Our team operates 24 hours a day, 365 days a year, enabling ultra-fast report turnaround to respond to your research needs efficiently.
We integrate regional risk assessment, localized product optimization and competitor analysis to deliver actionable market strategies.
All data is cross-verified from multiple industry sources to deliver thorough, precise analysis that supports reliable corporate strategic decisions.
We provide responsive, dedicated after-sales support to resolve all follow-up inquiries about reports, data and industry interpretation.
TABLE OF CONTENTS
1 Report Overview
1.1 Study Scope
1.2 Market by Type
1.2.1 Global Market Size Growth by Type: 2020 VS 2024 VS 2031
1.2.2 Strategy Development
1.2.3 Trade Execution
1.3 Market by Application
1.3.1 Global Market Share by Application: 2020 VS 2024 VS 2031
1.3.2 Individual
1.3.3 Organization
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global Artificial Intelligence in Trading Market Perspective (2020-2031)
2.2 Global Market Size by Region: 2020 VS 2024 VS 2031
2.3 Global Artificial Intelligence in Trading Revenue Market Share by Region (2020-2025)
2.4 Global Artificial Intelligence in Trading Revenue Forecast by Region (2026-2031)
2.5 Major Region and Emerging Market Analysis
2.5.1 North America Artificial Intelligence in Trading Market Size and Prospective (2020-2031)
2.5.2 Europe Artificial Intelligence in Trading Market Size and Prospective (2020-2031)
2.5.3 Asia-Pacific Artificial Intelligence in Trading Market Size and Prospective (2020-2031)
2.5.4 Latin America Artificial Intelligence in Trading Market Size and Prospective (2020-2031)
2.5.5 Middle East & Africa Artificial Intelligence in Trading Market Size and Prospective (2020-2031)
3 Breakdown Data by Type
3.1 Global Artificial Intelligence in Trading Historic Market Size by Type (2020-2025)
3.2 Global Artificial Intelligence in Trading Forecasted Market Size by Type (2026-2031)
3.3 Different Types Artificial Intelligence in Trading Representative Players
4 Breakdown Data by Application
4.1 Global Artificial Intelligence in Trading Historic Market Size by Application (2020-2025)
4.2 Global Artificial Intelligence in Trading Forecasted Market Size by Application (2026-2031)
4.3 New Sources of Growth in Artificial Intelligence in Trading Application
5 Competition Landscape by Players
5.1 Global Top Players by Revenue
5.1.1 Global Top Artificial Intelligence in Trading Players by Revenue (2020-2025)
5.1.2 Global Artificial Intelligence in Trading Revenue Market Share by Players (2020-2025)
5.2 Global Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
5.3 Players Covered: Ranking by Artificial Intelligence in Trading Revenue
5.4 Global Artificial Intelligence in Trading Market Concentration Analysis
5.4.1 Global Artificial Intelligence in Trading Market Concentration Ratio (CR5 and HHI)
5.4.2 Global Top 10 and Top 5 Companies by Artificial Intelligence in Trading Revenue in 2024
5.5 Global Key Players of Artificial Intelligence in Trading Head office and Area Served
5.6 Global Key Players of Artificial Intelligence in Trading, Product and Application
5.7 Global Key Players of Artificial Intelligence in Trading, Date of Enter into This Industry
5.8 Mergers & Acquisitions, Expansion Plans
6 Region Analysis
6.1 North America Market: Players, Segments and Downstream
6.1.1 North America Artificial Intelligence in Trading Revenue by Company (2020-2025)
6.1.2 North America Market Size by Type
6.1.2.1 North America Artificial Intelligence in Trading Market Size by Type (2020-2025)
6.1.2.2 North America Artificial Intelligence in Trading Market Share by Type (2020-2025)
6.1.3 North America Market Size by Application
6.1.3.1 North America Artificial Intelligence in Trading Market Size by Application (2020-2025)
6.1.3.2 North America Artificial Intelligence in Trading Market Share by Application (2020-2025)
6.1.4 North America Market Trend and Opportunities
6.2 Europe Market: Players, Segments and Downstream
6.2.1 Europe Artificial Intelligence in Trading Revenue by Company (2020-2025)
6.2.2 Europe Market Size by Type
6.2.2.1 Europe Artificial Intelligence in Trading Market Size by Type (2020-2025)
6.2.2.2 Europe Artificial Intelligence in Trading Market Share by Type (2020-2025)
6.2.3 Europe Market Size by Application
6.2.3.1 Europe Artificial Intelligence in Trading Market Size by Application (2020-2025)
6.2.3.2 Europe Artificial Intelligence in Trading Market Share by Application (2020-2025)
6.2.4 Europe Market Trend and Opportunities
6.3 Asia-Pacific Market: Players, Segments and Downstream
6.3.1 Asia-Pacific Artificial Intelligence in Trading Revenue by Company (2020-2025)
6.3.2 Asia-Pacific Market Size by Type
6.3.2.1 Asia-Pacific Artificial Intelligence in Trading Market Size by Type (2020-2025)
6.3.2.2 Asia-Pacific Artificial Intelligence in Trading Market Share by Type (2020-2025)
6.3.3 Asia-Pacific Market Size by Application
6.3.3.1 Asia-Pacific Artificial Intelligence in Trading Market Size by Application (2020-2025)
6.3.3.2 Asia-Pacific Artificial Intelligence in Trading Market Share by Application (2020-2025)
6.3.4 Asia-Pacific Market Trend and Opportunities
6.4 Latin America Market: Players, Segments and Downstream
6.4.1 Latin America Artificial Intelligence in Trading Revenue by Company (2020-2025)
6.4.2 Latin America Market Size by Type
6.4.2.1 Latin America Artificial Intelligence in Trading Market Size by Type (2020-2025)
6.4.2.2 Latin America Artificial Intelligence in Trading Market Share by Type (2020-2025)
6.4.3 Latin America Market Size by Application
6.4.3.1 Latin America Artificial Intelligence in Trading Market Size by Application (2020-2025)
6.4.3.2 Latin America Artificial Intelligence in Trading Market Share by Application (2020-2025)
6.4.4 Latin America Market Trend and Opportunities
6.5 Middle East & Africa Market: Players, Segments and Downstream
6.5.1 Middle East & Africa Artificial Intelligence in Trading Revenue by Company (2020-2025)
6.5.2 Middle East & Africa Market Size by Type
6.5.2.1 Middle East & Africa Artificial Intelligence in Trading Market Size by Type (2020-2025)
6.5.2.2 Middle East & Africa Artificial Intelligence in Trading Market Share by Type (2020-2025)
6.5.3 Middle East & Africa Market Size by Application
6.5.3.1 Middle East & Africa Artificial Intelligence in Trading Market Size by Application (2020-2025)
6.5.3.2 Middle East & Africa Artificial Intelligence in Trading Market Share by Application (2020-2025)
6.5.4 Middle East & Africa Market Trend and Opportunities
7 Key Players Profiles
7.1 Trading Technologies International, Inc
7.1.1 Trading Technologies International, Inc Company Details
7.1.2 Trading Technologies International, Inc Business Overview
7.1.3 Trading Technologies International, Inc Artificial Intelligence in Trading Introduction
7.1.4 Trading Technologies International, Inc Revenue in Artificial Intelligence in Trading Business (2020-2025)
7.1.5 Trading Technologies International, Inc Recent Development
7.2 Trade Ideas, LLC
7.2.1 Trade Ideas, LLC Company Details
7.2.2 Trade Ideas, LLC Business Overview
7.2.3 Trade Ideas, LLC Artificial Intelligence in Trading Introduction
7.2.4 Trade Ideas, LLC Revenue in Artificial Intelligence in Trading Business (2020-2025)
7.2.5 Trade Ideas, LLC Recent Development
7.3 Imperative Execution Inc
7.3.1 Imperative Execution Inc Company Details
7.3.2 Imperative Execution Inc Business Overview
7.3.3 Imperative Execution Inc Artificial Intelligence in Trading Introduction
7.3.4 Imperative Execution Inc Revenue in Artificial Intelligence in Trading Business (2020-2025)
7.3.5 Imperative Execution Inc Recent Development
7.4 Looking Glass Investments LLC
7.4.1 Looking Glass Investments LLC Company Details
7.4.2 Looking Glass Investments LLC Business Overview
7.4.3 Looking Glass Investments LLC Artificial Intelligence in Trading Introduction
7.4.4 Looking Glass Investments LLC Revenue in Artificial Intelligence in Trading Business (2020-2025)
7.4.5 Looking Glass Investments LLC Recent Development
7.5 Kavout
7.5.1 Kavout Company Details
7.5.2 Kavout Business Overview
7.5.3 Kavout Artificial Intelligence in Trading Introduction
7.5.4 Kavout Revenue in Artificial Intelligence in Trading Business (2020-2025)
7.5.5 Kavout Recent Development
7.6 Auquan
7.6.1 Auquan Company Details
7.6.2 Auquan Business Overview
7.6.3 Auquan Artificial Intelligence in Trading Introduction
7.6.4 Auquan Revenue in Artificial Intelligence in Trading Business (2020-2025)
7.6.5 Auquan Recent Development
7.7 Techtrader
7.7.1 Techtrader Company Details
7.7.2 Techtrader Business Overview
7.7.3 Techtrader Artificial Intelligence in Trading Introduction
7.7.4 Techtrader Revenue in Artificial Intelligence in Trading Business (2020-2025)
7.7.5 Techtrader Recent Development
7.8 Cryptohopper
7.8.1 Cryptohopper Company Details
7.8.2 Cryptohopper Business Overview
7.8.3 Cryptohopper Artificial Intelligence in Trading Introduction
7.8.4 Cryptohopper Revenue in Artificial Intelligence in Trading Business (2020-2025)
7.8.5 Cryptohopper Recent Development
7.9 WunderTrading
7.9.1 WunderTrading Company Details
7.9.2 WunderTrading Business Overview
7.9.3 WunderTrading Artificial Intelligence in Trading Introduction
7.9.4 WunderTrading Revenue in Artificial Intelligence in Trading Business (2020-2025)
7.9.5 WunderTrading Recent Development
7.10 Capitalise.ai
7.10.1 Capitalise.ai Company Details
7.10.2 Capitalise.ai Business Overview
7.10.3 Capitalise.ai Artificial Intelligence in Trading Introduction
7.10.4 Capitalise.ai Revenue in Artificial Intelligence in Trading Business (2020-2025)
7.10.5 Capitalise.ai Recent Development
7.11 Trendspider
7.11.1 Trendspider Company Details
7.11.2 Trendspider Business Overview
7.11.3 Trendspider Artificial Intelligence in Trading Introduction
7.11.4 Trendspider Revenue in Artificial Intelligence in Trading Business (2020-2025)
7.11.5 Trendspider Recent Development
7.12 StockHero
7.12.1 StockHero Company Details
7.12.2 StockHero Business Overview
7.12.3 StockHero Artificial Intelligence in Trading Introduction
7.12.4 StockHero Revenue in Artificial Intelligence in Trading Business (2020-2025)
7.12.5 StockHero Recent Development
7.13 LTX Trading
7.13.1 LTX Trading Company Details
7.13.2 LTX Trading Business Overview
7.13.3 LTX Trading Artificial Intelligence in Trading Introduction
7.13.4 LTX Trading Revenue in Artificial Intelligence in Trading Business (2020-2025)
7.13.5 LTX Trading Recent Development
7.14 Litepips
7.14.1 Litepips Company Details
7.14.2 Litepips Business Overview
7.14.3 Litepips Artificial Intelligence in Trading Introduction
7.14.4 Litepips Revenue in Artificial Intelligence in Trading Business (2020-2025)
7.14.5 Litepips Recent Development
7.15 SignalStack
7.15.1 SignalStack Company Details
7.15.2 SignalStack Business Overview
7.15.3 SignalStack Artificial Intelligence in Trading Introduction
7.15.4 SignalStack Revenue in Artificial Intelligence in Trading Business (2020-2025)
7.15.5 SignalStack Recent Development
7.16 Algoriz
7.16.1 Algoriz Company Details
7.16.2 Algoriz Business Overview
7.16.3 Algoriz Artificial Intelligence in Trading Introduction
7.16.4 Algoriz Revenue in Artificial Intelligence in Trading Business (2020-2025)
7.16.5 Algoriz Recent Development
7.17 Superalgos
7.17.1 Superalgos Company Details
7.17.2 Superalgos Business Overview
7.17.3 Superalgos Artificial Intelligence in Trading Introduction
7.17.4 Superalgos Revenue in Artificial Intelligence in Trading Business (2020-2025)
7.17.5 Superalgos Recent Development
7.18 TradingView
7.18.1 TradingView Company Details
7.18.2 TradingView Business Overview
7.18.3 TradingView Artificial Intelligence in Trading Introduction
7.18.4 TradingView Revenue in Artificial Intelligence in Trading Business (2020-2025)
7.18.5 TradingView Recent Development
7.19 Composer
7.19.1 Composer Company Details
7.19.2 Composer Business Overview
7.19.3 Composer Artificial Intelligence in Trading Introduction
7.19.4 Composer Revenue in Artificial Intelligence in Trading Business (2020-2025)
7.19.5 Composer Recent Development
8 Artificial Intelligence in Trading Market Dynamics
8.1 Artificial Intelligence in Trading Industry Trends
8.2 Artificial Intelligence in Trading Market Drivers
8.3 Artificial Intelligence in Trading Market Challenges
8.4 Artificial Intelligence in Trading Market Restraints
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.1.1 Research Programs/Design
10.1.1.2 Market Size Estimation
10.1.1.3 Market Breakdown and Data Triangulation
10.1.2 Data Source
10.1.2.1 Secondary Sources
10.1.2.2 Primary Sources
10.2 Author Details
10.3 Disclaimer
TABLE OF FIGURES
List of Tables
List of Figures
KEY QUESTIONS ADDRESSED BY THE REPORT
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REPORT COVERAGE
DESCRIPTION
OVERVIEW
MARKET SEGMENTATION
CHAPTER OUTLINE
WHY THIS REPORT
QYRESEARCH'S STRENGTHS
TABLE OF CONTENTS
TABLE OF FIGURES
RLEATED REPORTS
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