Artificial Intelligence (AI) In Trading Market Global Report 2026

The artificial intelligence (AI) in trading market size has grown rapidly in recent years. It will grow from $24.62 billion in 2025 to $27.98 billion in 2026 at a compound annual growth rate (CAGR) of 13.7%. The growth in the historic period can be attributed to the expansion of electronic trading systems, greater availability of market data, rising adoption of quantitative trading strategies, early automation of trade execution, and growth of online brokerage platforms.

The artificial intelligence (AI) in trading market size is expected to see rapid growth in the next few years. It will grow to $46.09 billion in 2030 at a compound annual growth rate (CAGR) of 13.3%. The growth during the forecast period can be attributed to the increasing adoption of real-time AI trading analytics, expansion of cloud-based trading infrastructure, rising demand for adaptive trading algorithms, greater emphasis on regulatory compliance automation, and increasing integration of AI with portfolio management. Major trends during the forecast period include increasing adoption of algorithmic trading platforms, growing use of AI-based market forecasting tools, greater integration of sentiment analysis engines, expansion of automated risk management systems, and enhanced focus on high-frequency trading optimization.

The increasing integration of cloud technologies is anticipated to drive the expansion of the AI in trading market going forward. Cloud integration refers to the process of configuring multiple cloud-based systems and services to operate cohesively, allowing seamless data exchange and unified management across platforms. The increasing integration of cloud technologies can be attributed to several factors, including improved efficiency and automation, greater data accessibility, cost optimization, and access to real-time insights. AI in trading strengthens cloud integration by enabling real-time data analysis and predictive analytics, resulting in improved decision-making and operational efficiency. For instance, in December 2023, according to Eurostat, a Luxembourg-based government agency, in 2023, 45.2% of EU enterprises purchased cloud-computing services. Further, in 2023, 78% of large businesses purchased cloud services, while 44% of SMEs did so. Therefore, the increased cloud integration has driven the growth of AI in the trading market.

Key companies operating in the AI in trading market are providing technological innovations, including AI-driven analytical platforms, to improve trading strategies, optimize investment decisions, and deliver real-time market insights. An AI-driven analytical platform designed for traders seeks to broaden access to advanced trading tools that were previously primarily available to institutional investors. For example, in December 2023, TradeWire, a UAE-based fintech startup, launched TradeAI, an AI-driven analytical platform for traders. Tradewire applies advanced AI technology to process extensive financial data and deliver actionable insights, extending beyond basic analytics. The platform includes interactive tools for effective strategy execution, such as in-depth financial report analysis, a customizable economic calendar, intelligent screeners, dynamic infographics, advanced big data analytics, curated news and alerts, and custom script automation for indicators and strategies.

In August 2025, Kraken, Inc., a US-based cryptocurrency exchange and trading platform, acquired Capitalise.ai for an undisclosed amount. With this acquisition, Kraken aimed to enhance its AI-driven trading capabilities by integrating Capitalise.ai’s natural-language, no-code trading automation technology into its Kraken Pro platform, enabling users to build, test, and execute algorithmic strategies more intuitively across multiple asset classes. Capitalise.ai Ltd is an Israeli-based AI technology company that specializes in providing a natural language-based automated trading platform that allows traders to convert plain English instructions into executable trading strategies using machine learning and real-time market data.

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 2025. The regions covered in the artificial intelligence (AI) in trading market report are Asia-Pacific, South East Asia, 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, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

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.

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