Crypto World

Prediction Markets Top $25.7B Monthly Volume, New Report Finds

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Prediction markets are emerging as one of the most active on-chain applications, driven by a surge in retail participation even as broader crypto markets stay muted. A joint report by Bitget Wallet and Polymarket shows March trading volumes in on-chain prediction markets at $25.7 billion, with more than 80% of users categorized as retail—defined as those trading less than $10,000.

These figures align with data from Dune Analytics, which pegged March trading volume at $23.7 billion, up from $1.9 billion a year earlier. More telling than the raw totals is a shift in user behavior: instead of chasing single, high-profile events, traders are returning more frequently and crossing multiple categories. Average active days per user nearly quadrupled in Q1, rising from 2.5 to 9.9, suggesting deeper and more consistent participation.

Key takeaways

  • March on-chain prediction market volume reached $25.7 billion, with retail users comprising over 80% of participants.
  • Dune Analytics tracks March volume at $23.7 billion, marking a sharp year-over-year increase from $1.9 billion.
  • User engagement is increasing: average active days per user rose from 2.5 to 9.9 in the first quarter.
  • Sports markets led activity at $10.1 billion in the quarter, while political markets accounted for about $5 billion.
  • Industry projections point to rapid growth, with potential volumes of $240 billion annually in 2024 and longer-term upside toward trillions, supported by capital inflows to major platforms.

From episodic bets to a continuous forecast engine

The new findings depict prediction markets evolving beyond event-driven bets into an ongoing system for tracking real-world developments. This transition appears tightly correlated with how crypto wallets serve as primary access points for users, lowering barriers to entry and enabling broader participation across multiple market segments.

Sports betting, in particular, has become a cornerstone of activity. With a steady stream of global events, the sports category generated $10.1 billion in trading volume for the quarter. Political markets also sustained momentum, contributing $5 billion in the same period. The data imply a demand not just for gambling-style bets but for continuous hedging and information discovery tied to real-world outcomes.

Platform dynamics and access: Polygon, wallets, and the centralized-versus-decentralized debate

Among the leading platforms, Polymarket operates directly on-chain via the Polygon network, enabling users to place bets on real-world outcomes without intermediaries. This on-chain approach contrasts with centralized marketplaces such as Kalshi, highlighting a broader spectrum of architectures shaping the space. Polymarket’s Polygon-based model emphasizes user sovereignty and on-chain settlement, aligning with growing demand for transparent, auditable markets.

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The sector’s governance and integrity frameworks have also come into sharper focus. Polymarket has recently updated its governance framework to address risks related to insider trading and market manipulation, reflecting a push toward stronger market integrity as the community scales. Regulatory dynamics, particularly growing acceptance from the U.S. Commodity Futures Trading Commission, have contributed to this momentum and are expected to influence how other platforms approach compliance and risk controls.

Regulatory momentum, capital inflows, and the race to scale

Regulatory clarity appears to be a meaningful tailwind for on-chain prediction markets. As authorities increasingly engage with the sector, platforms are pursuing stronger governance and transparency measures to align with potential safeguards around market integrity. In parallel, major players in the space have attracted substantial investment. Polymarket and Kalshi, two of the sector’s largest platforms, are reportedly raising significant capital at valuations exceeding $20 billion, underscoring confidence in the long-run viability of prediction markets as a crypto-native financial infrastructure.

The growth narrative is supported by projections from industry observers, who anticipate volumes reaching hundreds of billions annually in the near term. If the trajectory continues, prediction markets could become a persistent engine for on-chain activity, with wallets serving as the primary gateways for a broad user base that engages across sports, politics, economics, and beyond.

Implications for traders, builders, and the broader market

The reported shift toward higher-frequency participation has several practical implications. For traders, the expanding array of accessible, on-chain markets could improve liquidity and price discovery across more event categories. For developers and platform builders, the emphasis on governance and anti-manipulation mechanisms will shape product design, risk controls, and incentive structures as the market matures.

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For investors, the growing demand for on-chain prediction markets may reflect a broader appetite for crypto-native information markets that combine financial payoff with real-world data. The sustained activity in sports and political markets suggests that the ecosystem is expanding beyond novelty use cases, potentially attracting new cohorts of users who perceive these markets as information tools as well as speculative venues.

Looking ahead, observers will be watching regulatory developments, platform governance enhancements, and continued evidence of user growth across more geographies and event types. The sector’s next milestones could include broader regulatory clarity, new funding rounds for leading platforms, and the emergence of additional use cases that leverage the on-chain trust model to deliver real-world forecasting insights.

Sources: Bitget Wallet and Polymarket joint report; Dune Analytics data on March trading volumes; platform governance updates and market coverage on Polymarket and Kalshi; regulatory context from the U.S. CFTC.

Risk & affiliate notice: Crypto assets are volatile and capital is at risk. This article may contain affiliate links. Read full disclosure

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