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Traditional bookmakers have begun actively showing interest in prediction platforms. This is not just a merger — it is a rethinking of the industry of betting on real-world events. Why major players are betting on Markets and how to make money from it.
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What happened
Financial Times reports a noticeable trend: major bookmaker companies are showing active interest in prediction markets. Platforms where users bet on the outcomes of real-world events — from elections to economic indicators — have attracted the attention of traditional gambling players. This is not about copying functionality, but about strategic partnership and technology integration.
The key factor is the legalization of predictions on political and economic events in a number of jurisdictions. This opens a market that was previously outside classic betting. Companies see potential in an audience that wants to bet on forecasts, not on sports events.
How this is useful for business
The convergence of two industries creates new monetization models. Bookmakers gain access to an audience interested in analytics and forecasts, not just sports. Prediction platforms gain infrastructure and a customer base.
For entrepreneurs, this means an opportunity to create hybrid products. You can build a platform that combines sports betting with prediction markets, offering users a single interface for all types of forecasts. The margins of such platforms may exceed traditional models by 15-20% due to audience synergy.
How to make money from this
The basic model is a commission on each transaction. However, prediction markets make it possible to introduce premium subscriptions for analytics, paid forecasts from experts, and educational courses on data analysis. A separate direction is an API for integrating prediction quotation data into third-party applications and services.
You can operate as an aggregator, collecting liquidity from different platforms and offering the best odds. Or focus on a niche — for example, predictions in technology, climate, or specific industries. The B2B model involves selling data and analytics to corporate clients.
Business ideas
1. Creating a prediction market aggregator with a unified wallet and interface. Monetization through a 2-5% commission and premium analytics features.
2. A niche platform for corporate predictions — bets on product launches and companies’ financial results. Target audience — investors and analysts. Subscription $50-500/month.
3. An educational product on prediction analysis and model building. Courses, masterminds, paid community. Average ticket $200-2000.
4. API service for integrating prediction data into trading strategies and applications. Subscription from $100/month for basic access.
5. White-label solution for media and content projects — a ready-made platform for betting on forecasts. Licensing from $10 000/year.
Risks and limitations
Regulatory uncertainty is the main risk. Predictions on political events are prohibited or restricted in many countries. It is necessary to choose jurisdictions carefully and monitor legislation. Technological risks are related to market manipulation — verification and moderation systems are needed. Competition from major platforms is intensifying, requiring clear positioning.
7-day action plan
Day 1-2: Study the top 5 prediction platforms (Kalshi, Polymarket, Smarkets), register, and test the functionality. Day 3: Analyze the target niche — define the vertical (technology, economy, sports) and create a competitor map. Day 4-5: Assemble a minimum MVP product — a landing page with a registration form and a description of the value proposition. Day 6: Conduct 5 interviews with potential users, collect feedback. Day 7: Adjust the positioning and prepare an MVP development plan for the next 2 weeks.
Original news: Financial Times Companies · See other news in the news section.
