Kalshi Market Share Drops to 79% as Prediction Market Rivals Gain Ground

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TLDR Prediction markets recorded more than $82 billion in trading volume in September, according to Stifel. Regulated prediction market volume reached $76.7 billion, up 64% from August. On a handle-like measure, prediction markets grew 27% compared with 43% for regulated sportsbook handle. Kalshi’s share of regulated prediction market volume fell to 79% from 86% in August. Stifel warns that higher prediction market spending by DraftKings and Fanatics could weigh on near-term earnings.

Prediction markets recorded more than $82 billion in trading volume in September, according to research from investment firm Stifel. But growth lagged traditional sportsbooks when measured on a more comparable basis.

Of the total, $76.7 billion came from federally regulated prediction markets. That figure was up 64% from August.

Stifel also used a measure that more closely resembles sportsbook handle. On that basis, prediction market trading grew 27% month over month, while regulated sports betting handle rose 43% in states that have reported so far.

The firm said the slower growth could point to early market saturation and customer turnover. This comes even as Kalshi and Polymarket spend heavily on user growth and product upgrades.

Sports and Parlays Drive Prediction Market Volume

Sports remained the largest category of prediction market trading in September. Single-event sports contracts generated $22.8 billion, up 23% from August.

Combination contracts, known as parlays, more than doubled to $41.6 billion. Sports and parlays together made up 83% of Kalshi’s trading volume.

Reported volume can overstate actual betting activity, especially in parlay markets. Contracts bought for pennies can count as $1 in reported volume, which makes comparisons with sportsbook handle harder.

Stifel estimated taker-only volume across CFTC-regulated exchanges at $17.7 billion. The estimate was based on trading patterns at Kalshi and Polymarket US, though it can still count trades made when users


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