Artificial Intelligence (AI) in Trading Market Report 2026

The artificial intelligence (ai) in trading market size has grown rapidly in recent years. It will grow from $24.53 billion in 2025 to $27.85 billion in 2026 at a compound annual growth rate (CAGR) of 13.6%. The growth in the historic period can be attributed to expansion of electronic trading systems, increased availability of market data, rising adoption of quantitative trading strategies, early automation of trade execution, 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 $45.74 billion in 2030 at a compound annual growth rate (CAGR) of 13.2%. The growth in the forecast period can be attributed to increasing adoption of real-time ai trading analytics, expansion of cloud-based trading infrastructure, growing demand for adaptive trading algorithms, rising focus on regulatory compliance automation, increasing integration of ai with portfolio management. Major trends in the forecast period include increasing adoption of algorithmic trading platforms, rising use of ai-based market forecasting tools, growing integration of sentiment analysis engines, expansion of automated risk management systems, enhanced focus on high-frequency trading optimization.

The increasing adoption of cloud integration is expected to support the growth of the AI in trading market in the coming years. Cloud integration involves configuring multiple cloud-based systems and services to operate in a unified manner, enabling seamless data exchange and centralized management across platforms. The rise in cloud integration is driven by factors such as improved efficiency and automation, enhanced data accessibility, cost optimization, and the availability of real-time insights. AI in trading strengthens cloud integration by enabling real-time data analysis and predictive analytics, which contribute to better decision-making and higher operational efficiency. For example, in December 2023, according to Eurostat, a Luxembourg-based government agency, 45.2% of enterprises in the European Union purchased cloud computing services in 2023. Additionally, 78% of large enterprises adopted cloud services, compared with 44% of small and medium-sized enterprises. Therefore, the growing level of cloud integration is driving the growth of the AI in trading market.

Organizations active in the AI in trading market are introducing technological innovations such as AI-driven analytical platforms to enhance trading strategies, optimize investment decisions, and deliver real-time market insights. AI-driven analytical platforms designed for traders aim to broaden access to advanced trading tools that were previously limited to institutional investors. For instance, in December 2023, TradeWire, a UAE-based fintech startup, launched TradeAI, an AI-powered analytical platform for traders. TradeWire leverages advanced AI to analyze large volumes of financial data and generate actionable insights beyond traditional analytics. The platform offers interactive tools to support effective strategy execution, including 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 trading strategies.

In August 2025, Kraken Inc., a US-based cryptocurrency exchange and trading platform, acquired Capitalise.ai for an undisclosed amount. Through this acquisition, Kraken sought to strengthen its AI-powered trading automation capabilities by integrating Capitalise.ai’s natural language, no-code trading automation technology into the Kraken Pro platform. This integration enables users to create, test, and execute algorithmic trading strategies more intuitively across multiple asset classes. Capitalise.ai Ltd. is an Israel-based AI technology company that specializes in natural language-based automated trading solutions, allowing traders to convert plain-language 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.

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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