Artificial Intelligence (AI)-Enhanced Investor Sentiment Analysis Market Report 2026

The artificial intelligence (ai)-enhanced investor sentiment analysis market size has grown exponentially in recent years. It will grow from $1.98 billion in 2025 to $2.43 billion in 2026 at a compound annual growth rate (CAGR) of 22.7%. The growth in the historic period can be attributed to growth of algorithmic trading adoption, increased availability of financial big data, rising volatility in global financial markets, expansion of digital investment platforms, growing reliance on data-driven portfolio management.

The artificial intelligence (ai)-enhanced investor sentiment analysis market size is expected to see exponential growth in the next few years. It will grow to $5.49 billion in 2030 at a compound annual growth rate (CAGR) of 22.6%. The growth in the forecast period can be attributed to increasing use of ai-driven investment advisory tools, rising demand for real-time risk analytics, expansion of retail investor participation, growing sophistication of sentiment modeling algorithms, increasing regulatory focus on transparent analytics. Major trends in the forecast period include increasing adoption of real-time sentiment analytics platforms, growing use of alternative data sources for investment insights, rising integration of nlp-based financial news analysis, expansion of predictive market behavior modeling, enhanced focus on risk-aware investment decision tools.

The increasing generation of data is fueling the growth of the artificial intelligence (AI)-enhanced investor sentiment analysis market, as advancements in digital technologies have accelerated real-time data creation from digital interactions, sensors, and transactions. AI-enhanced sentiment analysis leverages this surge by continuously analyzing vast volumes of financial news, social media content, and market data to generate structured insights that support informed decision-making. For instance, in March 2024, Edge Delta reported that the world produced an estimated 120 zettabytes (ZB) of data in 2023, equal to about 337,080 petabytes (PB) per day, with 5.35 billion internet users averaging around 15.87 terabytes (TB) of data each day, highlighting how rising data generation is driving demand for AI-powered analytics in finance.

Leading companies in the artificial intelligence (AI)-enhanced investor sentiment analysis market are developing next-generation solutions such as real-time sentiment tracking to predict market trends and guide investment decisions. Real-time sentiment tracking uses AI to continuously analyze news, social media, and financial data, providing instant insights into market and investor sentiment that enable investors to respond quickly to market changes and make well-informed choices. For example, in April 2025, Bigdata.com, a Spain-based financial technology company, introduced its Agentic AI Platform, which employs autonomous agents to monitor user portfolios and investment themes around the clock while delivering tailored pre-market analyses. The platform allows users to create watchlists that merge real-time price movements with sentiment insights from billions of financial documents, and it produces automated briefs from more than 55,000 global news sources. It also offers templated workflows that automate repetitive research tasks such as earnings reports, company analyses, and sector summaries, enhancing efficiency and reducing blind spots in investment research.

In May 2024, Accern Corporation, a US-based natural language processing (NLP) company, partnered with Market Rebellion, LLC to introduce a white-label solution designed to enhance investor decision-making with real-time market sentiment and predictive analytics. Through this collaboration, the two companies aim to provide more than 500,000 retail traders with AI-powered sentiment insights, delivering institutional-grade market analysis to individual investors while improving trading confidence and expanding access to advanced financial tools that were previously reserved for Wall Street professionals. Market Rebellion, LLC, a US-based financial technology firm, specializes in trading education, options analytics, and investor empowerment solutions.

Major companies operating in the artificial intelligence (ai)-enhanced investor sentiment analysis market are International Business Machines Corporation, Bloomberg L.P., S&P Global Market Intelligence LLC, FactSet Research Systems Inc., AlphaSense Inc., Trading Central S.A., RavenPack International S.L., Sentifi AG, Sirius Investors Inc., SentiOne Sp. z o.o., MarketPsych LLC, Accern Corporation, StockTwits Inc., Thinknum Inc., Alpha Research Inc., StockPulse GmbH, Prospero.ai Inc., TrendEdge Inc., StockInsights AI Inc.

North America was the largest region in the artificial intelligence (AI)-enhanced investor sentiment analysis market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence (ai)-enhanced investor sentiment analysis 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)-enhanced investor sentiment analysis market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The artificial intelligence (AI)-enhanced investor sentiment analysis market consists of revenues earned by entities by providing services such as real-time market sentiment monitoring, predictive analytics for stock movements, social media sentiment analysis, financial news analysis and automated trading signal generation. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence (AI)-enhanced investor sentiment analysis market also includes of sales of sentiment analysis software, investor insight platforms, predictive analytics tools, social media monitoring tools and financial news aggregators. Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

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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