Artificial Intelligence (AI) in Trading Market Report 2025

This artificial intelligence (AI) in trading market report delivers an in-depth analysis of the market’s key characteristics, including size, growth potential, and segmentation. It provides a detailed breakdown of the market across major regions and leading countries, highlighting historical data and future growth projections. The report also examines the competitive landscape, market share insights, emerging trends, and strategic developments shaping the market.

The artificial intelligence (AI) in trading market size has grown rapidly in recent years. It will grow from $21.59 billion in 2024 to $24.53 billion in 2025 at a compound annual growth rate (CAGR) of 13.6%. The growth in the historic period can be attributed to increasing demand for personalized trading solutions, the rapid expansion of generative artificial intelligence (AI) into various business functions, increased cloud integration, demand for real-time processing, and the growing volume of financial data.

The artificial intelligence (AI) in trading market size is expected to see rapid growth in the next few years. It will grow to $40.47 billion in 2029 at a compound annual growth rate (CAGR) of 13.3%. The growth in the forecast period can be attributed to increasing adoption of algorithmic trading, growing demand for sophisticated trading strategies, growing focus on establishing regulatory frameworks, expansion of artificial intelligence (AI) in cybersecurity, and increasing demand for automated and data-driven trading solutions. Major trends in the forecast period include advancements in artificial intelligence (AI) technologies, integration of machine learning and AI into algorithmic trading systems, innovations in neural networks, advancements in natural language processing(NLP), and technological innovations.

The growing trend of cloud integration is anticipated to drive the expansion of AI in the trading market in the future. Cloud integration involves configuring various cloud-based systems and services to work together seamlessly, enabling smooth data exchange and unified management across platforms. This rise in cloud integration is driven by factors such as increased efficiency and automation, improved data accessibility, cost savings, and real-time insights. AI in trading supports cloud integration by offering real-time data analysis and predictive analytics, which enhance decision-making and operational efficiency. For example, a report from the Statistical Office of the European Communities, a European-based agency, indicated in April 2024 that in 2023, 42.5% of EU enterprises acquired cloud computing services, mainly for email, file storage, and office software. This marks a 4.2 percentage point increase from 2021. Hence, the growth in cloud integration is contributing to the development of AI in the trading market.

Leading companies in the AI trading sector are introducing technological innovations such as AI-driven analytical platforms to improve trading strategies, optimize investment decisions, and deliver real-time market insights. These AI-driven platforms are designed to make advanced trading tools accessible to a broader range of users, not just institutional investors. For instance, TradeWire, a UAE-based fintech startup, launched TradeAI in December 2023. This platform uses advanced AI to analyze extensive financial data and provide actionable insights. TradeAI features interactive tools for strategy execution, including in-depth financial report analysis, a customizable economic calendar, intelligent screeners, dynamic infographics, big data analytics, curated news and alerts, and custom script automation for indicators and strategies.

In May 2022, Alphasense Inc., a US-based software solutions company, acquired Sentieo Inc. for an undisclosed amount. This acquisition represents a strategic move by Alphasense to broaden its portfolio by integrating Sentieo’s AI-powered trading solutions. Sentieo Inc., based in the US, specializes in providing AI-driven trading services.

Major companies operating in the artificial intelligence (AI) in trading market are Citigroup Inc., IBM Corporation, Fidelity Investments, NVIDIA Corporation, Sentient Technologies, Addepar Inc., DataRobot Inc., AlphaSense Inc., VoxSmart Limited, Kensho Technologies, Sentieo Inc., Trade Ideas LLC, Numerai, Imperative Execution Inc., Kavout Corporation, Rebellion Research, EidoSearch Inc., Hudson Labs, EquBot Inc., Tickeron Inc., TrendSpider Inc.

North America was the largest region in the artificial intelligence (AI) in trading market in 2023. The regions covered in the artificial intelligence (AI) in trading market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the artificial intelligence (AI) in trading market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

AI in trading involves using artificial intelligence and machine learning algorithms to analyze financial markets, predict stock prices, and execute trades. This technology enhances data processing and analysis capabilities, improves trade execution efficiency, and manages risks more effectively, potentially leading to higher returns and better trading performance.

The primary types of AI in trading include software and services. AI trading software consists of specialized applications that utilize artificial intelligence to analyze market data, forecast trends, and automate trade execution. These solutions can be deployed through various modes, including cloud-based and on-premise options. They are utilized across diverse sectors such as automotive, information technology and telecommunications, transportation and logistics, energy and utilities, healthcare, retail, manufacturing, and more.

The artificial intelligence in the trading market research report is one of a series of new reports that provides artificial intelligence in trading market statistics, including artificial intelligence in the trading industry global market size, regional shares, competitors with artificial intelligence in trading market share, detailed artificial intelligence in trading market segments, market trends, and opportunities, and any further data you may need to thrive in the artificial intelligence in trading industry. This artificial intelligence in trading market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The AI in the trading market includes revenues earned by entities by providing algorithmic trading, portfolio management, risk management and sentiment analysis and fraud detection. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

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