Prediction market volume has skyrocketed from $100M to $13B monthly. In a rare move, rival CEOs from Kalshi and Polymarket are jointly backing 5(c) Capital, a new $35M VC fund. This signals a critical shift from platform wars to ecosystem building, offering massive opportunities for founders building infrastructure and B2B data tools.
The $63 Billion Elephant in the Room
Prediction markets have officially graduated from niche betting platforms to a formidable financial asset class. The growth trajectory is staggering: monthly trading volume surged from a mere $100 million in early 2024 to over $13 billion by late 2025—a 130x increase. Industry-wide annual volume jumped 300% year-over-year to $63 billion in 2025. What was once dismissed as a novelty is now generating an annualized revenue run-rate of $3 billion, with projections pointing to a $10 billion market by 2030. The liquidity is no longer constrained to elections or sports; in January 2026 alone, Kalshi hit $9.6 billion and Polymarket reached $7.7 billion in volume, driven heavily by macro forecasts, geopolitical events, and climate predictions.
Why Bitter Rivals are Teaming Up
In one of the most intriguing developments in the fintech space, the CEOs of Kalshi and Polymarket—two platforms locked in a fierce battle for market dominance—have both backed 5(c) Capital. This newly formed $35 million venture capital fund is entirely dedicated to supporting startups within the burgeoning prediction market category. When bitter rivals invest in the same fund, it sends a clear signal: the ecosystem has grown larger than any single platform. Both leaders recognize that for the industry to hit that $10 billion revenue target, they need a robust surrounding ecosystem of third-party tools, liquidity providers, and infrastructure that they cannot build alone.
The Infrastructure Gap: Where Founders Can Win
The gold rush is here, but the smartest founders won’t build another exchange; they will sell the picks and shovels. We are seeing major traditional finance players like CME, Cboe, and Interactive Brokers entering the space. Data integrations are becoming standard, with Bloomberg Terminals and retail apps like Robinhood embedding prediction probabilities for macro forecasting. Currently, 73% of market structure experts view prediction data as valuable for generating alpha.
Founders should focus on the glaring infrastructure gaps. There is massive demand for institutional-grade API integrations, specialized custodians capable of handling hybrid Web3/TradFi assets, and advanced real-time risk modeling software. Market makers like Susquehanna are already dedicating resources to event-driven models, highlighting the need for sophisticated B2B tooling.
Navigating the Regulatory Minefield
While the opportunity is vast, the threats are existential. Regulatory frameworks lag significantly behind the market’s hyper-growth. Kalshi operates under strict U.S. CFTC compliance, while Polymarket relies on a decentralized, Web3-native architecture that faces different jurisdictional challenges. Startups entering this space must prioritize compliance from day one. Furthermore, the entry of giants like ICE (which recently invested in Polymarket) and Tradeweb means that startups will face intense competition from incumbents. The strategy must be to partner and integrate rather than compete head-on.
Actionable Takeaways for Founders
- Target Institutional Data Needs: Build APIs that translate raw prediction market odds into actionable sentiment analysis and macro risk indicators for hedge funds and traditional brokerages.
- Focus on Non-Seasonal Liquidity: Avoid building tools solely for election or sports betting. The 45% month-over-month volume growth post-football season proves that climate, policy, and crypto events are the sustainable drivers of liquidity.
- Build Picks and Shovels: Pitch funds like 5(c) Capital with infrastructure solutions—think risk management SaaS, cross-chain custody for event contracts, or specialized market-making algorithms—rather than trying to launch a competing consumer-facing exchange.