Polymarket Overtakes Kalshi in Weekly Trading Volume for First Time, Reaching $1.93 Billion

Prediction market platform Polymarket recorded a weekly trading volume of $1.93 billion in the last week, surpassing Kalshi for the first time. Kalshi reported $1.87 billion in weekly notional volume during the same period. This marks a pivotal moment in the sector's growth trajectory, with both platforms leading the charge in expanding use cases for prediction markets.

The platforms' combined monthly trading volumes reached $18.3 billion in February 2026, up from under $2 billion in August 2025. Prediction markets are evolving beyond speculative betting into sophisticated risk management tools, enabling direct pricing of geopolitical, regulatory, and business event outcomes.

Kalshi and Polymarket are both preparing for significant fundraising rounds, with discussions at $20 billion valuations. This would nearly double their previous valuations, with Kalshi valued at $11 billion and Polymarket at $9 billion in late 2025. These fundraising ambitions reflect the platforms' rapid growth and strong investor confidence in their future potential.

Why Did This Happen?

The surge in trading volume reflects the sector's shift from niche speculation to institutional-grade hedging. Prediction markets now offer direct pricing for events like central bank decisions, trade policy changes, and geopolitical escalations. For example, oil traders monitor real-time contracts on ceasefire probabilities between Russia and Ukraine, while technology-focused investors assess risks from potential tariffs. Prediction markets are evolving beyond speculative betting into sophisticated risk management tools.

Kalshi's U.S. regulatory approval and Polymarket's institutional backing from Intercontinental Exchange have further accelerated adoption. Kalshi reported annualized revenue estimates closer to $1.5 billion, and Polymarket is planning a full launch of its regulated U.S. platform.

How Did Markets Respond?

The growing popularity of prediction markets has attracted interest from major financial institutions, including Coinbase and Robinhood, which are exploring similar products. This expansion into mainstream finance has led to increased scrutiny, particularly around insider trading and contract resolution transparency. Regulatory challenges have emerged as platforms expand their offerings. A recent class action lawsuit against Kalshi centered on a market tied to Iran's Supreme Leader, with users disputing the platform's 'death carveout' policy and voiding of payouts. Kalshi defended its policy to avoid profit from death-related events but faced criticism for lack of transparency in determining last traded prices.

What Are Analysts Watching Next?

The prediction market sector is expected to introduce more sophisticated products, including confidence-weighted instruments and contracts indexed to macroeconomic indicators. These innovations aim to address a genuine market gap by offering targeted hedging for specific outcomes.

Investor interest remains high despite legal and ethical questions. The Beast Industries case, where an employee was terminated for insider trading linked to MrBeast's video content, highlights the importance of enforcement policies and surveillance capabilities. Kalshi recently formed an independent Surveillance Audit Committee to strengthen its compliance framework.

Meanwhile, institutional liquidity partnerships are validating crypto platforms for public launch. Pepeto, an Ethereum-based project, announced a partnership with an institutional liquidity provider, signaling readiness for its exchange launch. This development contrasts with stalled XRP price predictions and underscores the importance of infrastructure and institutional confidence.

New technological advancements, such as AI-assisted trading platforms, are also gaining traction. AI Labs recently launched a platform offering visual reasoning, narrative intelligence, and automated execution for crypto traders. These tools aim to improve decision-making and reduce emotional trading.