Prediction markets are consolidating into a standalone category inside digital finance, with Kalshi now leading the sector on volume, fees, and transactional activity. Polymarket retains strong onchain engagement, while smaller venues such as Predict.fun remain highly niche.
Why it matters
The split between Kalshi and Polymarket is the structural story: Kalshi runs on a CFTC-regulated rails and is pulling in the institutional order flow that wants a compliant book; Polymarket sits onchain and is capturing the crypto-native crowd that cares about settlement transparency. Both are growing, but they are growing into different markets.
Market impact
The wider read is that information itself is becoming a tradable asset class — public sentiment, event outcomes, and macro catalysts are being priced continuously rather than opined about. That reframes prediction markets from a novelty corner into a category that intersects derivatives, news trading, and onchain liquidity, and the May snapshot is the first month where the sector-wide picture looks more like a market structure than a handful of competing apps.
Source: [source](http://telegraph.controller.bot/files/8336652911/AgACAgIAAxkBAAI2YWoZhSRMyljxM6BgQQypAVP_L86AAALyG2sbYcvQSBerqSDnQ1ppAQADAgADeQADOwQ)
Frequently asked questions
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Which prediction market currently leads on volume?
Kalshi leads the prediction market sector on volume, fees, and transactional activity, while Polymarket retains stronger onchain engagement.
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How do Kalshi and Polymarket differ structurally?
Kalshi operates on CFTC-regulated rails and is capturing institutional order flow that wants a compliant book; Polymarket sits onchain and serves users who prioritise settlement transparency.
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Are smaller prediction market platforms gaining traction?
Smaller platforms such as Predict.fun remain highly niche, but their continued presence signals that the category is broadening beyond the two market leaders.
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Why are prediction markets being treated as a distinct asset class?
Public sentiment, event outcomes, and macro catalysts are being priced continuously rather than opined about, reframing prediction markets as a tradable category that intersects derivatives, news trading, and onchain liquidity.
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What does the May snapshot signal about the sector's direction?
May is the first month where the prediction market landscape looks more like a coherent market structure than a handful of competing apps, with clear splits between regulated and onchain venues.
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