Google Finance will integrate prediction markets data into search, adding Polymarket and Kalshi probabilities so users can query event odds directly from the search box, and reporting shows the Labs-first rollout begins over the coming weeks.
The initial release is staged through Google Labs so engineers can refine presentation and collect feedback. That phased approach means early access for testers, with a broader rollout expected across search in the coming weeks.
Users will see current event probabilities and simple trend indicators without leaving search. In practice, the snippets will display probability reads and recent movements, making quick checks of market sentiment immediate and frictionreed.
Market platforms are showing measurable growth. Polymarket reported October alltime highs in monthly volume, active traders and new markets, and announced it expects to reenter the U.S. by the end of the month, as of 6 November 2025. In this context, increased activity can improve price discovery for event outcomes.
Institutional capital has followed this traction. An investment from Blackrock IBIT valued Polymarket at roughly $9 billion, while Kalshi raised $300m at a $5bn valuation. Consequently, deeper liquidity and larger market makers could make aggregated probabilities more stable.
Executives and analysts are already mapping product roadmaps. A Polymarket executive confirmed plans for a POLY token and an associated airdrop, a Bernstein analyst said markets are shifting toward broader information hubs, and Kalshis crypto head predicted that integrated data should be available on major crypto apps within 12 months.
Institutional rules and market safeguards will matter as feeds reach mainstream search. As SEC guidance stresses the need for clear surveillance and custody arrangements, platforms and publishers must align disclosure and controls before largescale distribution. SEC statement
For traders and researchers, aggregated, crowdsourced probability data shortens the path from signal to decision. However, users should treat aggregated odds as one input among many, and regulators and platforms will shape how these signals are curated and presented.

