Artificial Intelligence (AI) In Trading Market Report 2025 - Insights for Decision Makers and Market Strategists
For business leaders, corporate strategists, and growth-focused teams – this report delivers deep market intelligence, forecasts, segmentation, and competitor insights to guide your decisions through 2034.
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.
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The increasing cloud integration is expected to propel the growth of the AI in trading market going forward. Cloud integration refers to the process of configuring multiple cloud-based systems and services to function cohesively, enabling seamless data exchange and unified management across platforms. The increasing cloud integration can be attributed to several factors such as increased efficiency and automation, enhanced data accessibility, cost optimization, and real-time insights. AI in trading enhances cloud integration by providing real-time data analysis and predictive analytics, leading to improved decision-making and efficiency. For instance, in April 2024, according to the Statistical Office of the European Communities, a European-based agency, in 2023, 42.5% of enterprises in the EU purchased cloud computing services, primarily for email, file storage, and office software. This represents a 4.2 percentage point increase compared to the share of enterprises that purchased cloud computing services in 2021. Therefore, the increased cloud integration has driven the growth of AI in the trading market.
The artificial intelligence (AI) in trading market covered in this report is segmented –
1) By Type: Software, Services
2) By Deployment Mode: Cloud-Based, On-Premise
3) By Application: Automotive, Information Technology (IT) And Telecommunication, Transportation And Logistics, Energy And Utilities, Healthcare, Retail, Manufacturing, Other Applications
Subsegments:
1) By Software: AI-Driven Trading Platforms, Algorithmic Trading Software, Predictive Analytics Tools For Market Forecasting, Sentiment Analysis Tools, Risk Management And Assessment Software, Portfolio Management Software With AI Capabilities, Market Surveillance And Compliance Tools
2) By Services: AI Consulting And Strategy Development For Trading, AI System Integration And Implementation Services, Custom Algorithm Development Services, Training And Education Services For AI In Trading, Performance Monitoring And Optimization Services, Managed AI Services For Trading Operations, Data Analytics Services For Trading Insights
Major companies operating in the AI in trading market offer technological innovations such as AI-driven analytical platforms to enhance trading strategies, optimize investment decisions, and provide real-time market insights. An AI-driven analytical platform designed for traders aims to democratize access to advanced trading tools that were previously reserved for institutional investors. For instance, In December 2023, TradeWire, a UAE-based fintech startup, launched TradeAI, an AI-driven analytical platform for traders. Tradewire utilizes cutting-edge AI to process extensive financial data and provide actionable insights, going beyond mere analytics. It features interactive tools for effective strategy execution, including deep financial report analysis, a customizable economic calendar, intelligent screeners, dynamic infographics, powerful big data analytics, curated news and alerts, and custom script automation for indicators and strategies.
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 2024. 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.
How Can Companies Use The Artificial Intelligence (AI) In Trading Market Report to Drive Business Results?
This report provides actionable insights tailored for business use—not academic analysis. Companies can leverage the data to:
• Time market entry or expansion using growth forecasts and CAGR trends.
• Develop competitive products by tracking key technology shifts and user preferences.
• Tailor regional strategies with in-depth geographic data and local market dynamics.
• Benchmark and plan partnerships using competitive landscape insights.
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