Global Artificial Intelligence in Trading Market Growth (Status and Outlook) 2025-2031

The global Artificial Intelligence in Trading market size is predicted to grow from US$ 139 million in 2025 to US$ 255 million in 2031; it is expected to grow at a CAGR of 10.7% from 2025 to 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.

LPI (LP Information)' newest research report, the “Artificial Intelligence in Trading Industry Forecast” looks at past sales and reviews total world Artificial Intelligence in Trading sales in 2024, providing a comprehensive analysis by region and market sector of projected Artificial Intelligence in Trading sales for 2025 through 2031. With Artificial Intelligence in Trading sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world Artificial Intelligence in Trading industry.

This Insight Report provides a comprehensive analysis of the global Artificial Intelligence in Trading landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyses the strategies of leading global companies with a focus on Artificial Intelligence in Trading portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global Artificial Intelligence in Trading market.

This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for Artificial Intelligence in Trading and breaks down the forecast by Type, by Application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global Artificial Intelligence in Trading.

This report presents a comprehensive overview, market shares, and growth opportunities of Artificial Intelligence in Trading market by product type, application, key players and key regions and countries.

Segmentation by Type:
Strategy Development
Trade Execution

Segmentation by Application:
Individual
Organization

This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries

The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
Trading Technologies International, Inc
Trade Ideas, LLC
Imperative Execution Inc
Looking Glass Investments LLC
Kavout
Auquan
Techtrader
Cryptohopper
WunderTrading
Capitalise.ai
Trendspider
StockHero
LTX Trading
Litepips
SignalStack
Algoriz
Superalgos
TradingView
Composer

Please note: The report will take approximately 2 business days to prepare and deliver.