USDGoogle Integrates Polymarket and Kalshi Data Into Search and Finance Tools as Prediction Markets Hit Record Volumes
Prediction Market Odds Now Appear in Google Search Results and Finance Dashboards
TL;DR
- Google begins embedding real-time prediction-market data from Polymarket and Kalshi into Google Search and Finance.
- Kalshi and Polymarket reported record volumes in October 2025, exceeding $7 billion combined.
- The feature introduces market-implied probabilities and historical charts for major political and economic events.
Google will be displaying real-time probabilities from the prediction-market platforms Polymarket and Kalshi directly within its Search and Finance products, marking one of the first mainstream integrations of decentralized forecasting data into global consumer tools. The rollout, confirmed on November 6, 2025, begins in the United States through Google Labs and will later expand internationally, with India cited as the next major market. Users can now ask questions such as “Will the U.S. enter a recession in 2025?” or “Who will win the 2024 U.S. presidential election?” and receive dynamically updated odds and line charts sourced from active prediction-market trading.
The new feature injects market-implied probabilities and historical trend data into everyday search behavior, bringing the “wisdom of the crowd” into the same ecosystem that already delivers stock prices and company earnings. Google said the move is part of a broader upgrade to its finance products that include AI-generated earnings summaries, real-time transcripts, and enhanced “Deep Search” tools powered by its Gemini models. The company clarified that these market forecasts are not definitive predictions but snapshots of crowd sentiment expressed through active trading. The interface converts contract prices into percentage chances, displaying both current odds and their historical movement over time.
Polymarket and Kalshi have experienced record growth leading up to the integration. Kalshi, a CFTC-regulated exchange operating in the United States, reached roughly $4.4 billion in trading volume in October 2025, its highest monthly figure to date. Polymarket, a blockchain-based platform that allows users to trade on event outcomes, recorded around $3.02 billion in volume for the same period—a 93.7 percent surge from the previous month. The platform also saw approximately 477,850 active traders and more than 38,000 new markets created in October, tripling its August count. These milestones underscore the sharp rise of prediction markets as data sources capable of reflecting collective expectations about future events.
Polymarket’s valuation reportedly stands near $9 billion, bolstered by investment from Intercontinental Exchange (ICE), further highlighting institutional confidence in the sector. Kalshi’s regulated status gives it a complementary position as a compliant U.S. platform, while Polymarket continues to operate internationally with an emphasis on blockchain transparency. Together, their data now feed directly into Google’s consumer products, merging real-time market sentiment with traditional financial information.
Google processes more than 8.5 billion searches daily, meaning this integration could expose prediction-market data to one of the largest audiences ever reached by such tools. A company spokesperson described the update as an effort to let users “ask questions about the future and harness the wisdom of the crowds,” though the firm emphasized that market probabilities do not guarantee outcomes. For prediction-market operators, the partnership represents a major step toward mainstream legitimacy, transforming what was once a niche crypto-driven sector into a visible component of the world’s largest search platform.
The development also signals a shift in how financial and informational ecosystems perceive forecasting data. Instead of relying solely on expert analysis or static news coverage, users will now encounter fluid, market-driven probabilities woven into their daily information flow. By combining regulated prediction exchanges like Kalshi with decentralized platforms like Polymarket, Google effectively bridges two sides of the emerging “information-as-market” economy. The integration reframes how probability and sentiment data are consumed, establishing prediction markets not just as trading venues but as living indicators of global expectations.
This article has been refined and enhanced by ChatGPT.
