Sports contracts represent 39.4 percent of annual prediction market volume
The figures come from Artemis data as of November 6. Kalshi accounts for 366.5 billion dollars of the one-year total, with sports contributing 133.1 billion dollars of that figure.
Prediction markets recorded 451.8 billion dollars in trading volume over the past year, according to TradingKey, citing Artemis data as of November 6.
Sports contracts generated 177.9 billion dollars of that total, representing 39.4 percent of activity over the one-year period.
Kalshi’s contribution
Kalshi accounted for 366.5 billion dollars of the annual total, according to the figures reported by TradingKey. That places the platform’s volume well above the combined contribution of the remaining market.
Sports contributed 133.1 billion dollars to Kalshi’s volume. The figures show that sports contracts were a substantial component of both Kalshi’s activity and the broader prediction-market total.
What it means for prediction markets
- Sports are a significant category: Their 39.4 percent share makes them an important part of the reported annual trading activity, though not a majority.
- Platform concentration matters: Kalshi’s 366.5 billion dollars accounts for most of the 451.8 billion dollars reported across prediction markets.
- Volume is not a probability signal: These figures describe trading activity, rather than the likelihood of any contract’s outcome.
Sources & attribution
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- TradingKey
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Full attribution under the Digital Millennium Copyright Act (DMCA), 17 U.S.C. § 512: this article is an original report by Infiniti Intelligence that summarizes the reporting of the publishers named above, links to their original work, and reproduces no protected expression beyond brief factual reference and in-line attribution (“according to TradingKey”). All rights in the underlying reporting remain with the publishers listed; nothing here implies endorsement by or affiliation with them. Rights holders may request correction, update or removal through the contact address published at infiniti.w3ai.io.
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