Prediction markets on Solana: the category nobody saw coming

Prediction markets had a breakout year in 2025 with the US election cycle, and the assumption going into 2026 was that the category would cool off. Rather, it actually did the opposite. Trading volume on the major prediction market venues increased in 2025 and ramped up even more in the first half of 2026. What is becoming more common is the new volume’s deployment to Solana instead of Polymarket’s earlier deployment on Polygon.

The shift is not subtle. Throughout the last year, several new prediction venues have opened directly on Solana, and some existing platforms announced their integration with Solana for specific market types, most notably sports, where the speed of settlement and its cost structure are more important than anywhere else. Sports prediction wagering on Solana-based bookmakers broke the $2 billion annualized threshold in early 2026, and they are continuing to rise.

This category is moving to Solana mostly for the reasons of movable unit economics. The original design of Polymarket is suitable for long-duration political markets, in which a settlement in 30 seconds makes no sense. It is effective in setting out rules for in-game sports betting, esports markets, and short-duration prediction categories where the settlement of the match or round is a practical necessity. Teams building these next-generation venues often run on infrastructure like RPC Fast because their products only work if the chain layer matches the speed of the underlying event.

Why prediction markets work on blockchains at all

The traditional betting market is a closed book, meaning that the odds are set by the bookmaker, the spread is what the bookmaker charges, and the bookmaker assumes the counterparty risk. Prediction markets are conducted in an open book system: trading takes place between individuals directly, the odds evolve from the trading orders, and the venue is provided at a lower fee. The essence of the structure is that it’s both cheaper and less opaque, but it does need a settlement layer to coordinate.

Ethereum prediction markets were found to provide a model that works. As the class grew beyond politics and into more frequent markets, however, the drawbacks of lag time on slower settlement networks came into play. A sports bettor is looking to enter and exit trades in the midst of a game. If the bettor is a fan of the eSports game, he or she might be interested in trading within the particular round. These workflows cannot be used with multi-second settlement.

The categories driving Solana-based volume.

The growth is not evenly distributed across prediction market types. Certain categories have adopted Solana aggressively, while others remain on their original chains:

• Live sports markets: Betting on results, player performance,e and micro events during the live game. The near instant finality offered by Solana allows workflows that traditional sportsbooks cannot match.
• Esports prediction markets: High-frequency, low-duration events where settlement speed is a differentiator, and the user base is crypto-native.
• Crypto-native markets: On-chain metric predictions (TVL, price levels, protocol launches). These naturally fall onto the same chain as the data that it is based on.
• Entertainment and culture markets: Awards shows, reality TV results, and viral moments are just some of the examples of entertainment/culture markets. Small payouts and high turnover and volume.
• Weather and event markets: markets that settle on public data, and for which settlement costs are low and quick.

The infrastructure requirements are unusual.

Prediction market backends are unique in terms of their infrastructure. The processing workload is read-heavy, with state updates to the order book having to be updated across all users who are watching a market in short time windows. The workload of the write function is bursty, i.e, quite low when markets are low and high when markets are high (scoring a goal, winning a candidate, a TVL threshold, etc.).

This is more difficult to manage than flat workloads. Infrastructure needs to scale seamlessly when traffic increases by 10x or more per second and have a low latency when traffic is light. Commodity RPC infrastructure tends to be substandard during times when it is most economically useful.

Three specific requirements keep coming up in production deployments:

1. gRPC streaming for the order book state, so every participant sees updates within the same slot
2. Transaction submission paths that maintain landing rates during volume spikes when the market is moving fast
3. Historical data access for settlement verification and dispute resolution

Regulatory tailwind, not headwind

Prediction markets also benefit from an unusual regulatory posture. CFTC’s stance on designated prediction market contracts has softened,d as have its legal wins in US federal courts, including an unambiguous one last year that prediction markets, structured correctly, do not constitute gambling under US law.CFTC’s stance on designated prediction market contracts has become more permissive, ve and its legal victories in US federal court have made it clear that prediction markets, when structured properly, are not gambling under US law. This has provided a pathway into the category for legitimization that traditional sports betting has never been able to provide, and is attracting institutional liquidity.

Why the category is one of the most interesting growth stories in crypto over the past 18 months is due to the fact that there is a clear regulatory path, demand for real-time markets, and settlement infrastructure that can now support them. It’s not a passing trend.

Where the category goes from here

The next twelve months will likely bring deeper integration between prediction markets and broader DeFi primitives.

Collateral for markets, hedged perp trades on prediction mark, ETS, and automated market making on prediction order books currently represent active areas of development. All these further expand the demand for infrastructure.

It’s evident that prediction markets are no longer a niche. They are getting embedded in the on-chain economy, and Solana is turning into the go-to chain for these segments of the category, where speed counts. That’s a significant change – one not necessarily apparent a year and a half ago.