Articles / broker-apis / "Prediction Market Platforms May Need to Operate Under Gambling Licenses": Devexperts' Jon Light
"Prediction Market Platforms May Need to Operate Under Gambling Licenses": Devexperts' Jon Light
May 21, 2026 · Source: financemagnates.com · Topic:
broker-apis · mica-regulation · prediction-markets
Prediction Market Volume 2026
$240B
Projected sector volume for prediction markets in 2026
Kalshi Valuation
$22B
Valuation of Kalshi after overtaking Polymarket as the largest prediction market
Prediction Market Volume 2030
$1T
Projected sector volume for prediction markets by 2030
⦿ Executive Snapshot
- What: Prediction market platforms may require gambling licenses due to regulatory scrutiny.
- Who: Jon Light, Senior Director of Product Management at Devexperts; Kalshi; Polymarket; Plus500; IG Group; CME Group.
- Why it matters: As prediction markets gain popularity, their classification and regulatory framework could reshape how they operate and integrate within existing trading infrastructures.
⦿ Key Developments
- The sector volume for prediction markets reached $51B in 2025 and is expected to hit ~$240B in 2026, with projections of $1T by 2030.
- Kalshi recently overtook Polymarket as the largest prediction market, doubling its valuation to $22B.
- Brokers face operational challenges related to liquidity management and regulatory compliance when integrating event-based products into their offerings.
- Devexperts launched event-based trading infrastructure in November 2025, positioning itself as a white-label provider for brokers entering the prediction market space.
- Event-based contracts are often compared to binary options, leading to potential classification as gambling products in various jurisdictions, complicating licensing requirements for brokers.
⦿ Strategic Context
- The rise of prediction markets has been fueled by increasing public interest and participation, especially following major events like the US Presidential election.
- Brokers and exchanges are treating prediction markets as extensions of their existing trading technologies, rather than as a completely new asset class, reflecting a trend towards diversification in trading offerings.
⦿ Strategic Implications
- Immediate implications include the need for brokers to navigate complex regulatory landscapes, which could affect market entry and operational strategies.
- Long-term implications may see the evolution of prediction markets as a recognized asset class, potentially leading to more structured regulation and integration within traditional financial markets.
⦿ Risks & Constraints
- Potential regulatory risks include the classification of prediction markets as gambling products, which could necessitate obtaining gambling licenses and adhering to different compliance standards.
- Liquidity risks are significant, as trading volumes can fluctuate dramatically around major events, leading to thin order books and challenges in maintaining price stability.
⦿ Watchlist / Forward Signals
- The upcoming regulatory decisions and licensing requirements for prediction markets in various jurisdictions will be critical to monitor.
- Developments in infrastructure and partnerships, such as CME Group's entry into event-based products, will signal the market's evolution and acceptance as a legitimate trading category.
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