The ability to see around corners and move quickly has always separated the businesses that lead from those that fall behind. In 2025, predictive intelligence has become the solution that enables companies to emerge as winners. Predictive intelligence is the use of AI-powered models and data to anticipate future events, trends, and behaviors — turning signals into actionable foresight before outcomes occur. Businesses in all industries are increasingly relying on AI-powered predictions to guide questions such as where to invest and which customers to target, so they can get their foot in the door before competitors. The predictive analytics market — which includes predictive intelligence and other forecasting tools — is expected to grow to $28.1 billion by 2026. McKinsey estimates generative AI to deliver a total of $2.6 trillion to $4.4 trillion in economic benefits annually when applied across industries. The message is clear: AI technologies like predictive intelligence are no longer optional — they’re foundational. With that in mind, here are 20 companies at the forefront of predictive intelligence in 2025. 1. Crunchbase Crunchbase is a predictive intelligence solution that enables organizations to stay ahead of private market shifts and seize emerging opportunities early. It does this by offering company predictions like: Funding Predictions: Forecasts the likelihood and timing of a company’s next round. This foresight allows teams to source opportunities earlier, time outreach when budgets are likely to expand, and prepare for capital flow into specific market segments. Growth Predictions: Highlights companies on the verge of accelerated expansion. This means directing attention to businesses that are scaling quickly and more likely to buy, invest, or partner. IPO and Acquisition Predictions: Forecasts which companies are preparing for major liquidity events. This visibility is critical for anticipating portfolio exits, sourcing M&A opportunities, and positioning ahead of public offerings. Closure and Layoff Predictions: Helps organizations detect early signs of instability. With this foresight, businesses can better mitigate risk when navigating the private market for investment strategy or sales deals. Crunchbase helps anyone looking to spot emerging opportunities first and close deals ahead of peers — whether they’re investors, wealth management firms, sales or marketing teams, or market analysts. Its strength lies in a rare combination of best-in-class private company data, advanced AI models, and engagement signals from 80M+ users worldwide. With powerful data that is analyzed and extrapolated by proprietary AI technology, Crunchbase is able to deliver unmatched foresight into what’s likely to happen next. Crunchbase’s predictive intelligence is available in two ways: through the Crunchbase Business software, or via the Crunchbase API for those looking to integrate predictive data into their existing models, products, and tools. 2. IBM Watson IBM Watson Studio remains one of the most established names in enterprise AI. Its predictive intelligence software combines automated machine learning, explainable AI, and integration with IBM Cloud services. Enterprises use Watson to build and deploy predictive models that guide decisions in healthcare, financial services, and supply chain management. Watson’s emphasis on trust and transparency makes it especially valuable for regulated industries. 3. Google Google’s Vertex AI platform provides advanced tools for predictive intelligence, including AutoML for rapid model development and explainable AI features. Organizations rely on Vertex AI to forecast demand, predict churn, and identify anomalies across vast datasets. Its seamless integration into Google Cloud means enterprises can unify predictive models with their existing data infrastructure, making it a natural fit for companies already operating in the Google ecosystem. 4. Microsoft Microsoft’s Azure Machine Learning offers an end-to-end analytics environment. Enterprises use it for everything from demand forecasting to predictive maintenance. Because it integrates tightly with Microsoft’s suite of productivity and enterprise tools, Azure ML is particularly valuable for organizations that want predictive capabilities woven directly into existing business workflows. 5. SAS SAS has been a leader in statistical modeling and analytics for decades, and its modern platforms extend that expertise into predictive intelligence. Financial institutions, healthcare providers, and government agencies continue to use SAS to forecast risk, detect fraud, and model outcomes. Its reputation for reliability and robustness keeps SAS central to many data science teams. 6. DataRobot DataRobot specializes in automated machine learning, making predictive intelligence more accessible to non-techn