Predictive Artificial Intelligence (AI) in Stock Market Report 2026

The predictive artificial intelligence (ai) in stock market size has grown rapidly in recent years. It will grow from $0.84 billion in 2025 to $0.98 billion in 2026 at a compound annual growth rate (CAGR) of 17%. The growth in the historic period can be attributed to increasing availability of historical financial data, rising adoption of algorithmic trading strategies, expansion of online trading platforms, growing interest in quantitative investment models, improvements in computing power.

The predictive artificial intelligence (ai) in stock market size is expected to see rapid growth in the next few years. It will grow to $1.82 billion in 2030 at a compound annual growth rate (CAGR) of 16.7%. The growth in the forecast period can be attributed to increasing demand for real-time decision-making tools, rising use of alternative data sources, expansion of ai-powered retail investing platforms, growing institutional adoption of predictive analytics, advancements in machine learning model accuracy. Major trends in the forecast period include increasing adoption of ai-driven trading algorithms, rising use of real-time market forecasting models, growing integration of sentiment analysis tools, expansion of automated portfolio optimization solutions, enhanced focus on risk prediction accuracy.

The increasing adoption of cloud computing is expected to propel the growth of predictive artificial intelligence (AI) in the stock market going forward. Cloud computing refers to delivering computing services such as storage, servers, databases, and software over the internet rather than relying on local computers. The rise in cloud computing adoption is driven by cost efficiency, as it allows businesses to avoid high upfront hardware investments and pay only for the resources they use. Cloud computing enhances predictive AI in stock analysis by providing scalable infrastructure, real-time data processing, and cost-effective resources for faster and more accurate predictions. For instance, in December 2023, according to the European Union (EU), a Belgium-based governing body, cloud-based solution adoption in the EU rose by 4.2%, with 45.2% of enterprises purchasing cloud computing services. Therefore, the increasing adoption of cloud computing is driving the growth of predictive artificial intelligence (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 companies operating 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., Kavout Corporation.

North America was the largest region in the artificial Intelligence (AI) in stock market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the predictive artificial intelligence (ai) in stock market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the predictive artificial intelligence (ai) in stock market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

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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