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The largest betting operator FanDuel is moving to a new level: the company now offers a technology platform to other participants in the prediction market. This opens unexpected opportunities for entrepreneurs.
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What happened
Flutter Entertainment, the parent company of FanDuel, announced a strategic expansion of its business. Instead of competing only in the betting market, the company has begun offering its technology and infrastructure to third-party prediction market platforms. CEO Peter Jackson said the new direction should become a significant source of revenue.
The essence of the model is simple: Flutter acts as a market maker, providing liquidity and the technological foundation for external platforms. This allows smaller players to launch their own prediction markets without huge infrastructure investments. The company monetizes its developments in risk management, transaction processing, and odds setting.
How this is useful for business
The trend toward democratizing prediction markets is gaining momentum. Companies understand the value of crowdsourcing forecasts: from demand forecasting to assessing geopolitical risks. Flutter demonstrates that infrastructure for such markets is an independent and profitable product.
For businesses, this means several things. First, the entry threshold for creating their own prediction markets is decreasing. Second, there is an opportunity to build vertical solutions based on ready-made technologies. Third, demand is growing for content and analytics around these markets.
How to make money from this
Flutter has shown a model in which a technology company earns not from the end product, but from servicing the market. This is classic platform economics: the more participants there are, the higher the revenue from commissions and liquidity.
Key monetization models in this niche include commissions on transaction volume, subscriptions to APIs and data, advertising and partner programs, as well as premium analytics and consulting for corporate clients.
Business ideas
1. A niche prediction markets aggregator. Create a platform that collects odds from different markets and shows discrepancies. Earn on commissions from arbitrage trades. Initial investment: $15,000-30,000 for development and marketing.
2. A B2B analytics service for corporate predictions. Companies are willing to pay for tools that help structure and analyze employee forecasts. Sell subscriptions starting at $500/month per team.
3. An educational product on prediction markets analysis. Courses and workshops for traders and analysts who want to specialize in this market. Average ticket: $200-800 per course.
4. An API layer for integrating prediction markets into business processes. Develop solutions for integrating data from prediction markets into CRM, ERP, or project management systems. Subscription model starting at $1,000/month.
5. Consulting on launching corporate prediction markets. Help companies implement internal prediction markets for decision-making. Contracts from $5,000 per project.
Risks and limitations
Regulatory pressure remains the main risk. Prediction markets are in a gray area in many jurisdictions, and tightening rules could collapse the entire market. In addition, technology giants could quickly copy Flutter’s model, devaluing niche solutions.
User trust is another challenge. Without a reputation and a track record of reliability, attracting liquidity is extremely difficult. Competition is intensifying as the market grows.
7-day action plan
Day 1-2: Study the technical documentation of existing prediction markets APIs. Determine which segment is most accessible for entry.
Day 3: Conduct interviews with 5-7 potential clients: traders, corporate users, and analysts. Find out their real pain points and willingness to pay.
Day 4: Form an MVP of one product from the list of ideas. Define the minimum functionality needed to test the hypothesis.
Day 5: Find 3-5 partners or early adopters. Offer free access in exchange for feedback.
Day 6: Set up basic analytics and metrics: active users, transaction volume, conversion to payment.
Day 7: Make a decision: pivot or scale. If the metrics are encouraging, prepare to raise investment in a pre-seed round.
Original news: Financial Times Companies · See other news in the news section.
