Curated News
By: NewsRamp Editorial Staff
October 16, 2026
Sportradar Powers Prediction Markets Boom with Official Data
TLDR
- Sportradar can capture the booming prediction market by supplying official data to Kalshi, Polymarket, and new market makers.
- Prediction markets settle contracts using official game results, and Sportradar provides real-time data, infrastructure, and integrity tools to enable that process.
- Sportradar's data helps prediction markets expand sports engagement to new states and fans, making sports more accessible and interactive.
- Sports made up 82 percent of Kalshi's US prediction volume, and monthly contract volume grew 49 times year over year.
Impact - Why it Matters
The rise of prediction markets represents a seismic shift in how Americans engage with sports, potentially unlocking billions in new revenue and expanding access to legal sports wagering beyond traditional state lines. For Sportradar, this is a classic 'picks and shovels' opportunity: regardless of which platform dominates, the company supplies the essential real-time data and integrity tools that every contract settlement requires. As prediction markets grow, so does Sportradar's total addressable market, making it a key beneficiary of the broader ecosystem's expansion. This news matters because it signals a fundamental change in the sports betting landscape, where data providers like Sportradar are poised to capture value from both traditional sportsbooks and emerging prediction exchanges.
Summary
Sports prediction markets have exploded in popularity, with sports accounting for roughly 82% of Kalshi's U.S. prediction volume over the last twelve months, according to an August report from Eilers & Krejcik. The research firm estimates total monthly U.S. prediction market contract volume hit 49.0 billion contracts in July 2026, a staggering 49x increase from just 0.9 billion in August 2025. Prediction markets now represent 30% of combined prediction market and online sports betting handle, up from 1-2% a year earlier. Platforms like Kalshi and Polymarket, regulated by the CFTC rather than state gaming regulators, are expanding into states where traditional sports betting is unavailable, drawing new customers and prompting major sportsbook operators like FanDuel and DraftKings to build their own prediction market products. U.S. prediction market app downloads peaked at over 6 million in June 2026, and exchange fundraising targets imply valuations up to $40 billion.
Amid this boom, Sportradar (NASDAQ: SRAD) is positioning itself as the essential data infrastructure provider. Every prediction market contract must settle against official game results, requiring real-time data, live odds, and integrity tools—precisely the toolkit Sportradar has spent decades building for sports betting and media. “We see prediction markets as a natural extension of our core business and a significant opportunity where Sportradar is uniquely positioned to lead, given our premium content, global scale and unmatched product portfolio,” said Carsten Koerl, Founder and CEO of Sportradar. He added that prediction markets expand the U.S. total addressable market by opening new states, attracting new players, and increasing engagement, all of which should drive higher revenue over time.
Sportradar’s advantages are threefold: official data is a must-have for settlement; its infrastructure, sports rights, and industry relationships are already in place from serving sports betting; and its market grows as the prediction market ecosystem expands to market makers and brokers needing fast, reliable data. The company only works with authorized, registered, licensed operators and complies with all applicable regulations. As the prediction markets boom plays out, Sportradar’s model does not depend on which platform wins. To learn more about how Sportradar powers prediction markets, click here.
Source Statement
This curated news summary relied on content distributed by NewMediaWire. Read the original source here, Sportradar Powers Prediction Markets Boom with Official Data
