Prediction Markets in 2025: From Niche Bets to Mainstream Forecast Infrastructure
Published On 5 November 2025

Record weekly volumes, multi-billion-dollar valuations, and even Donald Trump’s involvement: prediction markets are no longer fringe instruments, but a developed Web3 vertical that sees a constant emergence of new developments and leaders.
What began as niche mechanisms for betting on events is rapidly becoming a serious layer of financial infrastructure, as both retail and institutional participants stake billions on outcome-contracts and forecasting tools. DWF Ventures unpacks what’s driving the surge of prediction markets in 2025, who’s leading, and where it’s all heading.
The Institutional Surge
Prediction markets have been around since the early 2000s, designed to harness collective intelligence by allowing participants to buy or sell shares in the probability of future events. But it was the 2024 U.S. presidential election that changed everything. For the first time, a single platform, Polymarket, became a mainstream reference point for election odds, drawing unprecedented attention from media outlets, traders, and policymakers. During that cycle alone, Polymarket processed over $1 billion in weekly trading volume, turning political curiosity into a global liquidity event.
This event legitimized the concept of prediction markets. What began as speculative, side bets evolved into a structured, data-driven forecasting tool. Prediction markets are no longer niche, they’re a new layer of financial infrastructure, where capital, information, and belief converge.
Polymarket and Kalshi: Prediction Market Leaders
Polymarket and Kalshi dominate today’s prediction-market space. Both contributed to about 90% to the record-breaking trading volume of $2.35 billion in the last week of October 2025.

How different are Polymarket and Kalshi? On one hand, Polymarket is a decentralized and blockchain-based platform. It offers global access (excluding the U.S.), is non-custodial via crypto-wallets, utilizes a hybrid decentralized orderbook with on-chain settlement, and resolves markets via UMA’s decentralized oracle. Kalshi, in contrast, is a fully CFTC-regulated Designated Contract Market, offering access to the entirety of the U.S., with plans to expand internationally. It utilizes a centralized orderbook, and resolves markets centrally with internal oversight.
It is also worth noting how the two platforms dominate in different categories of the prediction market. While Polymarket has a steady footprint across various categories, Kalshi is more established in sports betting, hosting over 90% of all onchain trading in this niche.

Together, they illustrate the two ends of prediction-market evolution: one prioritizing decentralization and generality , and the other regulatory compliance, and niche focus. See the more detailed differences between Kalshi and Polymarket below:
Category | Polymarket | Kalshi |
Regulation | - Decentralized and blockchain-based - Acquired QDEX for prospective CFTC compliance | - Fully CFTC-regulated Designated Contract Market (DCM) - Legal across all U.S. states |
User Access | - Global (excluding U.S.) - Plans to relaunch in U.S. with KYC - Restricted in some countries - Non-custodial via crypto wallets | - U.S.-only (as of now) - International expansion to 140+ countries recently announced - Custodial accounts |
Trading Mechanism | - Hybrid decentralized orderbook (off-chain matching, on-chain settlement) - Smart-contract-based P2P trading | - Centralized orderbook - P2P-style trading through internal systems |
Liquidity | - Liquidity Providers/Market Makers supply liquidity via limit orders | - LPs provide liquidity through limit orders - Internal AMM planned for global expansion |
Resolution | - Uses UMA’s decentralized oracle- Markets proposed for resolution enter a challenge period before dispute settlement | - Markets resolved centrally using official sources under internal oversight |
Spotlight: Opinion
Backed by YZi Labs and other leading crypto venture investors, a new prediction market called Opinion has rapidly gained traction in the end of 2025 as a next-generation prediction-market platform.
Shortly after going live in mid-October 2025, the platform reportedly hit around $450 million in cumulative trading volume, with a peak of $170 million in a single day, driven in part by a points-based rewards program that incentivises users for liquidity provisioning, trading activity and holding market positions.
Opinion differentiates itself in three key ways:
- first, a permissionless market-creation model, where any user can launch a new prediction market without central approval;
- second, a unified liquidity layer aiming to remove cross-market friction and fragment-free trades;
- third, an AI-driven oracle, where AI agents assist in resolving complex macro data and verifying outcomes.
In short, it is an attempt to move prediction markets beyond binary event-bets into a fully decentralised, macro-data trading infrastructure.
Latest Developments in the Prediction Market
Beyond raw volume and category leadership, the sector is innovating in ways that point to its future structure.
Melee Markets: Viral Markets for Creator-Economies
Built on the Solana blockchain, Melee has rapidly emerged as a next-generation prediction-market platform, recently raising funds to launch what it calls “Viral Prediction Markets”.
The platform allows for permissionless market creation: anyone can launch a market on anything: social trends, pop-culture memes, or crypto hype, removing the gate-keeper role common in older platforms. This also brings more monetization opportunities for content creators: they are able to launch markets tied to their audience, earn a portion of fees, and build viral engagement loops.
Unlike most prediction markets, Melee’s markets function like tokens, where participants enjoy asymmetrical upside for being early and having others buy into the markets after. This is done by utilizing a bonding curve mechanism, similar to what is present on memecoin launchpads like Pump.fun.
Gondor: DeFi Layer that Unlocks Prediction-Market Capital Efficiency
Gondor is building the infrastructure to unlock liquidity and capital-efficiency for traders in prediction markets by introducing lending against users’ open positions, freeing up liquidity while maintaining exposure. By unlocking this “capital lock”, traders get the opportunity to maintain positions in long-horizon events while deploying freed capital into new predictions.
This unique positioning allows Gondor to solve multiple problems, including the poor liquidity of longer-term markets, mispricings due to bias and market inefficiency, and even the lack of composability of positions within the broader crypto and DeFi ecosystems.
10² Hackathon
One more source of new developments on the prediction market is hackathons, which fuel the next generation of tools, derivatives and business models.
Recently, a16z and the Blockchain at Berkeley organization hosted the 10² Hackathon, with a dedicated track for prediction-markets sponsored by Polymarket and EigenLayer. Out of the many entries, five stood out for creativity and potential:
- Borrowing against your basket of predictions. A platform where users can collateralize a diversified bundle of prediction tokens (e.g., YES/NO positions) to borrow stablecoins, reducing liquidation risk per position via off-chain health computations with on-chain verification.
- Enterprise hedging with prediction markets. A system that lets companies hedge event-driven risks (tariffs, regulation, geopolitics) by synthesizing correlated prediction-market exposures into budget-friendly, automated hedging contracts.
- Bayesian arbitrage vault for cross-event mispricings. An on-chain hedge fund model that uses Bayesian graphs to spot when live prices deviate from modelled odds across many events, executing verifiable arbitrage trades.
- Finding hidden links across prediction market events. A toolkit that uncovers conditional and joint probabilities across siloed markets (e.g., election odds influencing semiconductor tariffs) using correlation, regression and embedding techniques.
- Stock insights powered by prediction market data. An AI-driven engine that merges prediction-market probabilities with financial news and sentiment to generate stock performance outlooks, effectively bringing prediction-markets into the mainstream equities workflow.
Truth Predict: Trump’s Crypto Empire Tapping into Prediction Markets
Trump Media & Technology Group (TMTG), the company behind the social-media platform Truth Social and crypto projects of the Trump family, has announced the upcoming launch of Truth Predict, a built-in prediction-market feature integrated into the Truth Social ecosystem. The platform is being developed in partnership with Crypto.com.
Users of Truth Social will be able to trade event-based contracts on Truth Predict covering a wide range of outcomes, including U.S. elections, sports leagues, interest-rate changes, and commodity price moves. These contracts will settle via the regulated infrastructure of CDNA, giving the product a compliant framework uncommon in many crypto-native prediction platforms.
A key part is token integration and rewards. Truth Social users earn in-platform points (“Truth gems”) via engagement, which will be reportedly convertible into Crypto.com’s native token, $CRO, which can be further used to purchase prediction contracts through Truth Predict.
The launch of Truth Predict marks a strategic entry into the prediction-market space by a mainstream social-media business and political figure, signalling how prediction markets are poised to become mass-market platforms with regulatory backing.
Conclusion
2025 has become a turning point for prediction markets: once peripheral to traditional finance and later crypto, they are emerging as a parallel infrastructure for truth-based finance, where probability, liquidity, and information converge.
Projects like Melee Markets and Gondor exemplify this maturation by embedding market mechanics into the creator economy and introducing credit and capital efficiency that integrate prediction markets into DeFi liquidity flows, while Opinion adds an AI-driven layer, bridging AI and decentralized governance. At the same time, Truth Predict signals that even mainstream companies now recognize the predictive and commercial potential of tokenized outcomes.
In the increasing competition, future winners of the prediction market will not be simply defined by those with the most users or volume, but those capable of combining liquidity depth, regulatory clarity, and technological openness.
If you are building in the prediction markets, feel free to reach out to DWF Ventures to discuss collaboration opportunities.
Disclaimer: This article is intended for general informational purposes only and does not constitute financial advice. Readers should conduct their own research and consult with a professional advisor before making any investment decisions.


