Prediction Markets to Hit $1 Trillion Volume by 2030

Apr 15, 2026 | Business | Polyminute News | No comments
Prediction Markets to Hit $1 Trillion Volume by 2030

Bernstein projects prediction market volumes exploding to $240 billion in 2026 (370% YoY) and $1 trillion annually by 2030 at ~80% CAGR, driven by Kalshi/Polymarket’s $60 billion YTD surge, crypto tokenization, and a pivot from sports (>60% today) to institutional macro/political hedging—despite intensifying state-CFTC regulatory clashes.

Bernstein’s April 14 report quantifies the sector’s breakout: Kalshi and Polymarket alone generated ~$60 billion in volume in the first months of 2026—already eclipsing all of 2025’s $51 billion total. Kalshi, controlling >90% of U.S. share, saw weekly volume leap from $100 million to >$3 billion YoY, rivaling AI-scale growth per Bank of America. Bernstein’s Gautam Chhugani forecasts 2026 at $240 billion and a path to $1 trillion by 2030 via sustained 80% CAGR.

Key drivers are structural, not cyclical: post-2024 election momentum carried into 2025 via sports, crypto, and macro/political contracts; blockchain tokenization and crypto integration are unlocking liquidity and 24/7 settlement. Contract mix is shifting fast—sports currently >60% of volume, projected to halve by 2030 as institutions demand discrete exposure to economic, business, and political outcomes. Corporate and insurance hedging demand is explicitly flagged as the next growth leg.

Public-market proxies are clear: Robinhood’s year-old prediction hub already delivers $350 million ARR (30% of Kalshi volume) and is its fastest-growing business; Coinbase is the second leg. New entrants (DraftKings, Underdog, Robinhood’s own potential exchange) signal intensifying competition.

Regulatory friction is real—legal actions in 14 states, four pending congressional bills, and an open CFTC-state turf war over sports-betting authority and insider-trading concerns—but Bernstein views this as transient. Federal clarity from SEC/CFTC alignment is expected to confer legitimacy and accelerate institutional adoption, not derail the multi-year trajectory. The net result is the emergence of a new, liquid asset class for event-risk pricing that sits between derivatives, betting, and information markets.

01

First-Order Effects

Obvious, immediate impacts
  • HOOD and COIN equities rerate higher on explicit proxy status and validated revenue acceleration.
  • Kalshi and Polymarket capture disproportionate market share and pricing power in the near term.
  • Short-term sentiment lift for event-driven liquidity pools, tightening spreads on political/macro contracts.
  • Immediate capital inflows into tokenized event contracts via crypto rails.
  • Regulatory headline volatility creates tactical dips in proxy names.
02

Second-Order Effects

Cross-sector · cross-geography · time-lagged
  • Traditional sports-betting incumbents (DraftKings, FanDuel) face margin compression as prediction platforms siphon high-frequency, high-liquidity volume.
  • Corporate treasuries begin embedding political and macro contracts into risk books, reducing reliance on bespoke OTC hedges.
  • Retail investor behavior migrates from meme stocks/crypto lotteries toward event-based portfolio overlays, altering correlation profiles.
  • Offshore platforms accelerate product launches to capture non-U.S. liquidity before U.S. regulatory clarity fully crystallizes.
  • Insurance/reinsurance pricing models incorporate real-time prediction odds, compressing premiums on event-specific tail risks.
03

Alpha Layer — Opportunities

Trades · strategic positioning · business impacts
  • Prediction markets become the marginal price-discovery mechanism for non-financial events, rendering legacy polling and sell-side macro forecasts structurally less relevant.
  • Tokenization blurs lines between derivatives, insurance, and information markets, creating a new uncorrelated alpha bucket that institutions are currently under-allocating.
  • Consensus underprices the speed of federal regulatory green light; clarity will act as a catalyst, not a constraint, unlocking trillions in latent institutional demand.
  • Corporate hedging of geopolitical and policy outcomes (tariffs, elections, regulation) emerges as a new risk-transfer market, disintermediating parts of the reinsurance and CDS complex.
  • Asymmetric long: infrastructure plays (custody, clearing, oracle tech) and data monetization around prediction flows will compound faster than headline volume growth suggests.

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