Prediction markets are moving away from sporadic, event-driven wagering toward products that attract daily user activity, according to a new report from Bitget Wallet produced in partnership with Polymarket. While Polymarket’s trading volume reached $25.7 billion in March, the study emphasizes a broader behavioral shift: users are returning more frequently and participating across a wider set of markets rather than concentrating activity around isolated, headline events.

Drawing on first-quarter activity from 1.29 million wallets, the report finds that engagement is deepening across categories that span crypto, sports, and politics. The pattern points to a market model that is sustained by repeated interactions rather than by occasional, high-profile catalysts. In other words, the basic design and distribution of these platforms are encouraging users to open their wallets more often, even if each action is relatively small.

The data suggest that growth is being powered by frequency, not by larger ticket sizes. More than 82% of participants traded less than $10,000 during the quarter, underscoring the continued dominance of retail users. Instead of infrequent, outsized positions, the typical flow looks like smaller commitments placed at a faster tempo. The result is a fabric of ongoing activity that can adapt quickly to shifting expectations.

“Prediction markets are becoming less about capital and more about consistent, repeated actions,” said Alvin Kan, Bitget Wallet’s chief operating officer. “What we’re seeing is a behavioral shift: The market is scaling with more taps per day, not bigger trades.”

AI Integration

The report’s picture of steady, granular participation has clear implications for AI-focused market participants in crypto and adjacent areas. A system that generates continuously updated probabilities across many topics creates a dense stream of signals that can be monitored and evaluated in near real time. For quantitative teams and developers building on-chain tools, a higher cadence of user interactions means more data points to observe and compare across time, particularly in categories—like crypto prices—where market structure already supports continuous trading.

As the study notes, prices on these platforms increasingly mirror real-time expectations around macroeconomic developments, politics, and culture. Those evolving probabilities can sit alongside other datasets in media and financial analysis. For practitioners working with algorithmic methods, the transition from episodic spikes to constant engagement offers a steadier sequence of inputs that can be incorporated into dashboards, screening tools, and automated decision workflows without relying on one-off, event-centric bursts of activity.

Crucially, this shift does not depend on larger individual trades. It depends on the rhythm of repeated participation, which in turn can help produce time series that are easier to track and compare. For AI-enabled strategies that benefit from structured, frequently refreshed information, that tempo matters. The report indicates that the market’s expansion is tied to more interactions each day, a pattern that naturally complements models designed to learn from incremental changes rather than from isolated extremes.

Technology Use Case

Crypto remains the main door through which many first-time users enter. Nearly 40% of early activity is concentrated in crypto-related markets, where continuous trading and familiar price mechanics offer a straightforward starting point. As users grow more active, participation tends to extend into markets linked to real-world events. That migration broadens the information surface area that these platforms capture, connecting on-chain habits with off-chain signals and reinforcing the idea of prediction markets as an always-on layer for gauging sentiment and expectations.

The emphasis on wallets as a gateway aligns with this use case. Wallets help users discover markets and transact in real time, tightening the connection between intent and action. When engagement is habitual and embedded in the tools people already use to manage digital assets, interaction costs fall. That helps sustain the steady pulse of smaller, frequent trades that the report identifies as the engine of growth.

Market Impact

The report describes an industry that is changing shape. Rather than orbiting around singular moments—elections, blockbuster announcements, or binary outcomes—prediction markets are evolving into continuous systems. Users come back to track and respond to shifting probabilities, revising positions as new information emerges. This places pricing signals in closer step with the day-to-day cadence of news, market moves, and cultural conversation.

“As prediction markets evolve into core financial infrastructure, distribution becomes as important as the underlying market itself,” said Elden Mirzoian, director of growth and partnerships at Polymarket. “We’re seeing a shift from episodic trading to more continuous engagement.”

That evolution is reflected in the growth numbers cited by the report. Monthly trading volume has climbed from about $1.2 billion in 2025 to more than $20 billion in early 2026, while active wallets have more than tripled in six months. Industry projections referenced in the study estimate volume could reach $240 billion this year, with a longer-term path toward $1 trillion. The trajectory underscores how a large base of retail users, each transacting modest amounts, can collectively generate substantial throughput when participation becomes routine.

This market structure also shapes how prices are interpreted. If probabilities update continuously and incorporate signals from crypto markets, sports, and politics, then the resulting price curves can complement traditional sources that analysts already consult. In the report’s framing, these markets are appearing alongside established datasets in media and financial contexts, widening their role from niche novelty to a standard input for tracking expectations.

Industry Response

As participation builds, the report notes a mounting focus on access and usability. Distribution—how users find markets, connect wallets, and act on new information—has become a priority on par with the design of the markets themselves. When discovery and transaction are tightly integrated, platforms can sustain the high-frequency behavior that defines their current phase of growth.

The core takeaway is structural rather than cyclical. The shift identified by Bitget Wallet and Polymarket is not simply a reaction to one election season or a handful of high-profile moments. It is a change in how users interact with prediction markets: smaller trades, more often; crypto as a practical on-ramp; and wallets as the interface that keeps activity flowing. In this configuration, the constant return of users produces a steady stream of probabilities that can be viewed, compared, and—where appropriate—incorporated into analytical tools used across crypto and broader finance.

While the headline figure of $25.7 billion in March volume draws attention, the report’s central argument is about consistency. By anchoring engagement in daily behavior rather than occasional surges, prediction markets are positioning themselves as durable components of the digital asset ecosystem. For participants building or deploying data-driven approaches, the move from one-off bets to continuous interaction marks a notable turn in how information is generated, distributed, and ultimately used.