Predictive Artificial Intelligence (AI) in Stock Market Report 2025

The predictive AI (artificial intelligence) in stock market size has grown rapidly in recent years. It will grow from $0.71 billion in 2024 to $0.84 billion in 2025 at a compound annual growth rate (CAGR) of 17.1%. The growth in the historic period was driven by the expansion of algorithmic trading, advances in computational power, increased adoption of artificial intelligence by hedge funds, the development of quantitative trading strategies, and the uptake of cloud-based AI platforms.

The predictive AI (artificial intelligence) in stock market size is expected to see rapid growth in the next few years. It will grow to $1.56 billion in 2029 at a compound annual growth rate (CAGR) of 16.8%. In the forecast period, growth is expected to be supported by supportive regulatory sandboxes, rising global adoption by retail investors, the expansion of cloud-based AI services, enhanced computational capabilities, and increasing demand for risk mitigation tools. Key trends anticipated include integration with alternative data sources, advancements in quantum computing, adoption of edge AI, AI-driven algorithmic trading, and the use of satellite imagery for market insights.

The rising adoption of cloud computing is expected to drive growth in the predictive artificial intelligence (AI) market for stock trading. Cloud computing involves delivering computing services such as storage, servers, databases, and software over the internet rather than relying on local infrastructure. Its increasing adoption is largely due to cost efficiency, allowing businesses to avoid significant upfront hardware expenses and instead pay only for the resources they use. In stock market applications, cloud computing supports predictive AI by providing scalable resources, real-time data processing, and cost-effective infrastructure that enables faster and more accurate predictions. For example, in December 2023, the European Union (EU), a Belgium-based governing body, reported that cloud-based solution adoption across the EU increased by 4.2%, with 45.2% of enterprises purchasing cloud computing services - representing a notable rise compared to 2021. This growing adoption is fueling the expansion of predictive AI in the stock market.

Companies in predictive artificial Intelligence (AI) in stock market are increasingly focusing on advanced innovations such as AI-enhanced equity benchmarks to improve forecasting accuracy, automate trading strategies, and optimize portfolio management. An AI-enhanced equity benchmark is a stock market index that leverages AI to select, weight, or adjust constituent stocks with the aim of boosting returns or mitigating risks compared to traditional indexes. For instance, in July 2025, Axyon AI, an Italy-based fintech company, launched an AI-powered US large-cap equity index in collaboration with Morningstar Indexes, using predictive models and real-time data to create a forward-looking benchmark for institutional investors. This index features dynamic stock selection through machine learning, adaptive rebalancing based on market conditions, predictive analytics for identifying high-potential stocks, sentiment analysis from news and earnings reports, and risk management insights, aiming to enhance returns while controlling volatility in large-cap US equities.

In May 2024, Cin7 Limited, a US-based inventory and order management software provider, acquired Inventoro for an undisclosed amount. The acquisition aims to strengthen Cin7’s AI-driven demand forecasting and inventory optimization capabilities, enabling retailers and wholesalers to manage stock more effectively. Inventoro s.r.o. is a Czech Republic-based company specializing in predictive artificial intelligence (AI) for stock analysis and optimization.

Major players in the predictive artificial intelligence (AI) in stock market are JPMorgan Chase & Co., Bloomberg L.P., Refinitiv Limited, Two Sigma Investments LP, Citadel Securities LLC, TradeStation Group Inc., Databricks Inc., AlpacaDB Inc., Renaissance Technologies LLC, Quantopian Inc., Barchart Inc., Sentifi AG, Numerai Inc., Accern Corporation, AlgoBulls Technologies Private Limited, Axyon AI S.r.l., Pico Quantitative Trading LLC, CloudQuant LLC, Tickeron Inc., and Kavout Corporation.

North America was the largest region in the artificial Intelligence (AI) in stock market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in predictive artificial intelligence (AI) in stock report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa. The countries covered in the predictive artificial intelligence (AI) in stock market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report’s recommendations and conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The rapid escalation of U.S. tariffs and the resulting trade tensions in spring 2025 are significantly impacting the financial sector, particularly in investment strategies and risk management. Heightened tariffs have fueled market volatility, prompting cautious behavior among institutional investors and increasing demand for hedging instruments. Banks and asset managers are facing higher costs associated with cross-border transactions, as tariffs disrupt global supply chains and dampen corporate earnings, key drivers of equity market performance. Insurance companies, meanwhile, are grappling with increased claims risks tied to supply chain disruptions and trade-related business losses. Additionally, reduced consumer spending and weakened export demand are constraining credit growth and investment appetite. The sector must now prioritize diversification, digital transformation, and robust scenario planning to navigate the heightened economic uncertainty and protect profitability.

Predictive artificial intelligence (AI) in stock refers to AI systems that utilize historical and real-time financial data to predict future stock price movements and market trends. These systems help investors identify potential price shifts, refine trading strategies, minimize risks, accelerate decision-making, and enhance overall portfolio performance.

The primary components of predictive AI in stock are solutions and services. Predictive AI solutions are integrated tools that use advanced algorithms to forecast stock market behavior, available through both cloud-based and on-premises deployment. They are applied in areas such as algorithmic trading, portfolio management, risk management, sentiment analysis, and more, serving end users including retail investors, institutional investors, and other financial organizations.

The predictive artificial Intelligence (AI) in stock market research report is one of a series of new reports that provides predictive artificial Intelligence (AI) in stock market statistics, including predictive artificial Intelligence (AI) in stock industry global market size, regional shares, competitors with a predictive artificial Intelligence (AI) in stock market share, predictive artificial Intelligence (AI) in stock market segments, market trends and opportunities, and any further data you may need to thrive in the predictive artificial Intelligence (AI) in stock industry. This predictive artificial Intelligence (AI) in stock 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 predictive artificial intelligence (AI) in stock market consists of revenues earned by entities by providing services such as data analysis consulting, custom model development, and portfolio optimization services. 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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