The prediction market gold rush is over. What comes next is the reckoning.
Bernstein analysts have issued a note arguing that the prediction market technology sector—which exploded in 2024-2025 on the back of election betting and crypto-native platforms—is now heading into a consolidation phase that will likely produce mergers, acquisitions, and a few high-profile casualties. The thesis is straightforward: there are too many platforms chasing the same liquidity pools, and the economics simply do not work for everyone.
The liquidity problem
Prediction markets live and die by liquidity. A platform needs enough participants on both sides of a bet to offer tight spreads and meaningful payouts. But the sector has fragmented across dozens of operators—Polymarket, Kalshi, PredictIt's successors, and a constellation of smaller crypto-native alternatives—each competing for the same pool of sophisticated bettors and retail speculators. When a major event like a presidential election draws attention, everyone feasts. Between events, most platforms starve.
Bernstein's analysts note that the 2024 U.S. election cycle masked fundamental weaknesses in unit economics. Platforms that looked viable with election-year volumes are now struggling to maintain engagement on lower-interest markets like economic indicators, corporate earnings, and geopolitical events. The math suggests that the sector can support perhaps three to five major platforms globally, not the current field of a dozen-plus.
Who buys whom
The obvious acquirers are the platforms with regulatory moats and institutional backing. Kalshi, which holds CFTC approval to operate in the United States, has a structural advantage that crypto-native competitors cannot easily replicate. Traditional financial institutions—exchanges, brokerages, data providers—have also shown interest in prediction market technology as a hedging and information-aggregation tool. Bloomberg and CME Group have both reportedly explored the space.
The targets are likely to be platforms with strong technology stacks but weak balance sheets, or those facing regulatory uncertainty that makes standalone survival difficult. Several crypto-native prediction markets built during the 2021-2022 boom are now operating with skeleton crews and dwindling treasuries.
Our take
This was always the inevitable trajectory. Prediction markets are genuinely useful—they aggregate information more efficiently than polls or punditry, and they create real accountability for forecasters. But useful does not mean universally profitable. The sector needed a shakeout, and now it is getting one. The survivors will be better capitalized, more regulated, and probably less interesting than the scrappy startups that pioneered the space. That is how maturation works. The question is whether consolidation produces a few dominant platforms that actually achieve mainstream adoption, or whether the whole sector contracts into a niche curiosity. The next twelve months will tell us.
