Between 2022 and 2025, around 71% of prediction-market users recorded net losses. The top 1% of traders captured roughly 95% of all profits, leaving a sharp gap between participation and financial outcomes.
Why it matters
Prediction markets aggregate views about uncertain outcomes, but a broad crowd does not guarantee broad profitability. A contract can reflect collective information while individual returns remain uneven, particularly when a small group captures most of the gains.
That makes the figures more than a scorecard of losing bets. They challenge the assumption that market participation itself gives retail users an edge. The data describes the distribution of outcomes, while differences in information, timing, execution and risk discipline can shape who converts a view into a profit.
Market impact
For retail traders, the practical takeaway is to treat prediction markets as high-risk trading venues, not easy ways to monetize an opinion. Aggregate activity can look healthy even when most users are losing money, so user-level net outcomes matter more than participation alone.
Market analytics should track profit concentration and the share of users with net gains alongside volume and liquidity. The sector's adoption story therefore carries a clear distribution risk: participation can expand without gains being shared broadly.
Source: [source](http://telegraph.controller.bot/files/8336652911/AgACAgIAAxkBAAJI-GqDIRZg490gKZ8797uG2g_-PO1uAAIcHWsbH2cYSCLRgGDP7kx3AQADAgADeQADPQQ)
Frequently asked questions
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What share of prediction-market users recorded net losses from 2022 to 2025?
Around 71% of users recorded net losses during that period.
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How much of prediction-market profit went to the top 1% of traders?
The top 1% captured roughly 95% of all profits.
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Does broad participation guarantee broad profitability in prediction markets?
No. A market can attract a wide range of views while returns remain concentrated among a small group.
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What risks should retail traders consider before using prediction markets?
They should treat prediction markets as high-risk trading venues, not easy ways to monetize an opinion. Position sizing, timing, information and execution can affect whether a view becomes profitable.
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Which metrics matter beyond prediction-market volume?
Profit concentration and the share of users with net gains should be tracked alongside volume and liquidity.
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