Google Integrates Real-Time Prediction Market Data from Kalshi, Polymarket into Finance Tools

Google is set to revolutionize financial data accessibility by integrating real-time prediction market data into its finance products, offering users crowd-sourced forecasts on key economic and political events. The update, announced on November 6, 2025, will initially roll out to Google Finance and Google Search Labs users, with data sourced from regulated platforms like Kalshi and decentralized platforms like Polymarket, according to a CoinMarketCap report. This move aims to democratize access to predictive analytics, traditionally limited to professional-grade tools, by embedding live probabilities into mainstream search and financial tools.

Integration of Prediction Market Data

Users will now be able to query Google Search and Google Finance with questions such as “Will the Fed cut rates in December?” or “What is the expected GDP growth for 2025?” and receive live probability assessments derived from prediction market data, as reported in a CryptoBriefing piece. The integration leverages real-time inputs from Kalshi, a U.S. CFTC-regulated exchange, and Polymarket, a decentralized platform, providing a balanced view of market sentiment, as noted in a LiveBitcoinNews article. This dual-source approach enhances the credibility and diversity of the data presented to users.

Deep Search and AI-Driven Insights

The new AI-based Google Finance platform introduces a feature called Deep Search, which allows users to ask advanced questions and receive comprehensive, cited responses. Powered by Google’s Gemini models, the system can process hundreds of simultaneous searches to generate well-researched answers, complete with historical trends and probability breakdowns. For instance, users querying GDP forecasts will see not only current probabilities but also how these have evolved over time.

Strategic Expansion and Infrastructure

In parallel, Google announced plans for its largest-ever investment in Germany, including infrastructure development, data center expansion, and innovative renewable energy projects. The initiative, detailed in a press conference with German Finance Minister Lars Klingbeil, was covered in an Economic Times article, and underscores the company’s commitment to addressing future challenges through AI and climate-neutral technologies. This investment aligns with broader goals to enhance computational capabilities for AI-driven financial tools and global market analysis, and follows Google's push into AI hardware, as reported in a Benzinga report.

Market Implications and Competition

The integration of prediction market data into consumer-facing tools marks a significant shift in financial data accessibility. By combining traditional financial metrics with crowd-sourced probabilities, Google challenges existing data providers and empowers retail investors with insights previously reserved for institutional players. The move also positions Google to capitalize on growing demand for AI-augmented financial analysis, particularly as prediction markets gain traction in forecasting economic and political outcomes.

Rollout and Future Plans

The initial release will focus on Labs users, with a broader rollout expected in the coming weeks. Subscribers to Google AI Pro and AI Ultra will receive higher limits for Deep Search queries. The platform’s expansion to India, its first international launch, further highlights the global ambition behind these updates. Analysts predict this integration could redefine how users interact with financial data, blending real-time market sentiment with traditional research tools .