The finance industry is witnessing a significant shift with the rise of prediction markets. These platforms are no longer just another trading vertical, but rather a strategic tool for brokers to acquire new users.
Prediction markets differ fundamentally from traditional CFDs and derivatives in terms of their operational challenges. Unlike continuous price discovery driven by deep liquidity pools, event-based markets require specialized infrastructure to handle thin early liquidity, automated resolution, and compliance audit trails.
Brokers that have launched prediction market products are experiencing stronger retention rates due to the open positions and pending outcomes that keep traders engaged. However, the primary commercial argument lies in user acquisition rather than direct monetization. Prediction markets attract audiences that traditional CFD campaigns often struggle to reach, from sports bettors to crypto-native traders.
The infrastructure requirements behind prediction markets are driving the trend towards white-label solutions. Developing a pricing engine capable of handling thin liquidity, automated resolution, and fraud protection can take over 18 months of engineering work. As a result, many brokers opt for white-label infrastructure rather than building internally.