Prediction markets processed $8.6 billion in taker volume during April 2026, according to Dune Analytics data. Kalshi claimed the top spot with $5.42 billion in trading activity, while Polymarket followed at $1.99 billion. Polymarket still collected $29.22 million in fees despite trailing in overall volume.
April Sector Performance
The prediction market industry hit a collective $8.6 billion in taker volume last month. Dune Analytics' April report shows this as the first time any single platform broke the $5 billion mark. The data covers all major platforms operating in the space.
Traders moved significant capital through these markets as election season intensified. Volume spikes typically align with major political events in the U.S. This April's numbers reflect heightened engagement with political derivatives.
Kalshi's Market Share
Kalshi controlled more than 63% of total sector volume last month. Their $5.42 billion in taker volume represents nearly six times the $1.99 billion handled by second-place Polymarket.
The platform hasn't released internal growth metrics. But its dominance in the April figures suggests strong trader migration. Kalshi's interface updates earlier this year appear to have resonated with active traders.
Polymarket's Fee Strategy
Polymarket generated $29.22 million in fees with lower volume than Kalshi. This implies their fee structure captures more value per trade. The platform charges different rates based on market liquidity and bet size.
Their fee collection represents about 1.46% of total volume. This compares with an industry average around 0.8% based on historical data. Polymarket hasn't commented on its pricing approach.
Remaining Market Fragmentation
Other platforms collectively handled $1.19 billion in April volume. This includes smaller services like PredictIt and newer entrants testing the space. None reached double-digit millions in daily trading activity.
The gap between Kalshi and the second-largest competitor widened significantly. This concentration creates pressure on smaller platforms to differentiate their offerings. Some have begun focusing on niche prediction categories to survive.
