SOFTSWISS Launches Prediction Markets for Event-Based Betting Growth
SOFTSWISS, a global technology provider, has introduced SOFTSWISS Prediction Markets, a new B2B offering designed to help online casino and sportsbook operators tap into the rapidly expanding event-based wagering segment. Using a fixed-odds structure, the solution allows operators to attract users beyond traditional sports betting audiences without dealing with the complexities of peer-to-peer (P2P) exchange systems.
The platform enables users to place bets on binary outcomes tied to real-world events across areas such as politics, economics, technology, and culture. It can be deployed either as a standalone iFrame widget or integrated directly into the SOFTSWISS Sportsbook. Existing partners can go live within two to three days, while new operators can expect a setup period of approximately three weeks.
In the United States, annual trading volume has surged dramatically, rising from about $300 million in 2024 to an estimated $40–50 billion in 2025. Despite the success of platforms like Polymarket and Kalshi, which have processed billions in trades, many traditional iGaming operators have yet to fully engage with this emerging market.
Olga Resiga, Chief Business Development Officer at SOFTSWISS, notes that a new type of user is entering the space. She explains that prediction markets are not merely an extension of sportsbooks but appeal to individuals who are motivated by their understanding of global events rather than sports fandom. Operators that overlook this shift risk missing out on both demand and a new generation of players.
Unlike peer-driven models that depend on external liquidity and dynamic pricing, SOFTSWISS’s fixed-odds approach gives operators more control over pricing and margins while enabling risk management within familiar sportsbook frameworks.
Alexander Kamenetskyi, Head of Operations at SOFTSWISS Sportsbook, highlights that the key challenge for operators is integrating prediction markets without overhauling their existing systems. He emphasizes that a fixed-odds model simplifies adoption, allowing businesses to test the market within established compliance and risk structures while reaching audiences who may not typically engage with traditional betting products.
The platform enables users to place bets on binary outcomes tied to real-world events across areas such as politics, economics, technology, and culture. It can be deployed either as a standalone iFrame widget or integrated directly into the SOFTSWISS Sportsbook. Existing partners can go live within two to three days, while new operators can expect a setup period of approximately three weeks.
In the United States, annual trading volume has surged dramatically, rising from about $300 million in 2024 to an estimated $40–50 billion in 2025. Despite the success of platforms like Polymarket and Kalshi, which have processed billions in trades, many traditional iGaming operators have yet to fully engage with this emerging market.
Olga Resiga, Chief Business Development Officer at SOFTSWISS, notes that a new type of user is entering the space. She explains that prediction markets are not merely an extension of sportsbooks but appeal to individuals who are motivated by their understanding of global events rather than sports fandom. Operators that overlook this shift risk missing out on both demand and a new generation of players.
Unlike peer-driven models that depend on external liquidity and dynamic pricing, SOFTSWISS’s fixed-odds approach gives operators more control over pricing and margins while enabling risk management within familiar sportsbook frameworks.
Alexander Kamenetskyi, Head of Operations at SOFTSWISS Sportsbook, highlights that the key challenge for operators is integrating prediction markets without overhauling their existing systems. He emphasizes that a fixed-odds model simplifies adoption, allowing businesses to test the market within established compliance and risk structures while reaching audiences who may not typically engage with traditional betting products.
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