How Do AI Sports Betting Apps like FanDuel Make Money?

Published On : June 03, 2025
How Do AI Sports Betting Apps Like FanDuel Make Money
AI Summary Powered by Biz4AI
  • AI sports betting apps like FanDuel make money through dynamic odds, fantasy entry fees, in-app ads, and casino games, all powered by real-time data.

  • AI integration drives profit—through personalized betting, predictive analytics, and AI chatbot features that boost engagement.

  • Development costs range from $50K to $300K+, based on features, platform, API integration, and AI complexity.

  • Compliance is non-negotiable—understanding regulations is key when learning how to make a sports betting app or how to start a sports betting app.

  • Tech stacks like Node.js, Python, and cloud platforms support scalable, secure sports betting app development.

Not too long ago, betting meant a visit to a sportsbook or calling in a wager. Today, millions of users simply open an app. Platforms like FanDuel have transformed the landscape—not just by bringing betting online, but by integrating sophisticated technology that keeps users engaged and keeps profits flowing.

The shift is no accident. It’s backed by growing demand. According to Grand View Research, the global fantasy sports market was valued at $20.30 billion in 2022. It’s projected to expand at a compound annual growth rate of 14.1% from 2023 through 2030. Much of this growth is fueled by mobile betting apps and platforms that combine data, user behavior, and predictive models.

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But a booming user base doesn’t explain it all. A deeper question remains: how do betting apps make money?

It’s not just about taking bets and hoping for the house to win. These platforms, especially leaders like FanDuel, have carefully engineered revenue models that draw from multiple sources. And with technology—especially machine learning and data-driven personalization—they’re not just reacting to the market. They’re shaping it.

In this blog, we’ll unpack how do sports betting apps make money, with a close look at FanDuel’s strategy. You’ll get a full picture of how modern betting apps function behind the scenes, how they use data, and where the money really comes from.

Understanding the FanDuel Business Model

So, how does FanDuel work?

At its core, FanDuel is a multi-faceted platform. It started as a daily fantasy sports provider but has since expanded into a full-service digital sportsbook, casino, and horse racing portal. Users can place bets on live games, build fantasy lineups, or spin a digital roulette wheel—all in one place.

This variety isn’t just for user entertainment. It’s a key part of the FanDuel business model—and a major reason why the app consistently ranks among the most profitable in the industry.

FanDuel earns revenue from multiple sources, creating a diverse and resilient business structure:

1. Sportsbook Margins (The “Vig”)

One of the most reliable ways sports betting apps make money is through what's called the "vig"—short for vigorish. This is the built-in margin on every bet. When users place a wager on FanDuel, the platform adjusts the odds to ensure a slight edge in its favor. It might only be a few percentage points per bet, but over millions of wagers, it becomes a major revenue stream. This is foundational to the FanDuel business model and a key reason why many want to learn how to make money online sports betting.

2. Fantasy Sports Entry Fees

FanDuel didn’t start as a sportsbook—it started with daily fantasy sports (DFS). In DFS contests, users pay to join leagues and create player lineups for a chance to win prizes. A percentage of every entry fee is kept by FanDuel as commission. This predictable model is central to how betting apps make money, especially in markets where full-scale sports betting is still gaining regulatory approval. For developers wondering how to make a betting app, fantasy sports integration is often a smart first step.

3. Online Casino Games

FanDuel’s online casino section includes slots, blackjack, roulette, and more. These games are engineered with specific return-to-player (RTP) ratios, giving the house a long-term statistical advantage. Unlike traditional betting, casino games provide consistent high-margin revenue, making them an essential part of how sports betting apps make money. Incorporating these games also diversifies user activity, which boosts retention—a core goal in any successful sports betting app development company strategy.

4. Inactivity and Transaction Fees

Although not as prominent, fees from dormant accounts, expedited withdrawals, and certain financial transactions contribute to FanDuel’s bottom line. These are often overlooked when discussing how do betting apps work, but they provide passive income that requires minimal overhead. It’s another layer of monetization that becomes more impactful as the user base scales.

5. Advertising and Cross-Promotion

FanDuel benefits significantly from its parent company, Flutter Entertainment, which owns multiple betting brands globally. Through API integration and shared marketing resources, FanDuel cross-promotes content, boosts user acquisition, and monetizes ad space within its platform. These types of integrations are part of what makes modern apps complex—and profitable. If you're exploring how to create a sports betting app, building room for ad inventory and affiliate marketing can become a strong revenue stream over time.

What sets FanDuel apart from a typical sportsbook is how it combines revenue streams with a highly tailored user experience. The platform doesn’t just present betting options—it adapts those options based on user behavior, preferences, and performance. That personalization is powered by data, which we’ll explore in a later section.

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The Role of AI in Modern Sports Betting Platforms

Beneath the surface of every betting app is a massive stream of data—being processed, predicted, and acted on in real time. Apps like FanDuel don’t just let users place bets; they use smart systems to shape those bets, set the odds, and optimize the entire user experience.

This is where AI makes the difference—and a big part of how sports betting apps make money in today’s market.

Here’s how AI in sports betting app drives that engine:

1. Real-Time Odds Management

Algorithms analyze thousands of data points—player stats, injuries, weather, betting volume—and update betting lines instantly. This helps maintain the house edge while keeping odds attractive to users.

2. Behavior-Based Personalization

Users see bets that align with their preferences, past behavior, and even time of day. The more relevant the offer, the higher the engagement—and the higher the conversion.

3. Targeted Promotions and Bonuses

AI segments of user based on activity, risk profile, and value. High-value users may see exclusive odds boosts, while casual users get win-back promotions. All of this is designed to boost retention and revenue.

4. Fraud Detection and Risk Management

Betting patterns are constantly monitored for irregularities. If something seems off, AI flags it. This protects the platform while keeping operations efficient.

5. Automated Customer Support with AI Chatbots

Smart AI chatbots handle FAQs, assist with account issues, and even guide users through placing their first bet—saving time and operational cost.

6. Real-Time Content and Notifications

Push notifications and in-app banners are powered by predictive models. If a user is likely to place a bet on a game starting soon, the app will nudge them with curated odds and a bonus.

Behind all of this is a highly integrated tech stack—custom-built and often supported by an experienced AI development company. These aren’t basic software tools; they’re full-scale AI ecosystems built into the product.

This is how betting apps work today. Not by chance, but by precision.

Key Monetization Strategies Enabled by AI

For those wondering how do betting apps make money, it’s not just about collecting losing bets. Today’s platforms, especially advanced ones like FanDuel, use layered monetization strategies built on data, automation, and user behavior. AI doesn’t just make the experience smarter—it makes the business more profitable.

Here’s how modern sports betting apps turn engagement into revenue:

1. Dynamic Odds with Built-in Margins

AI-powered systems adjust betting odds in real time using a mix of live game data, user activity, and historical trends. This ensures the platform maintains a statistical edge—commonly known as the "vig"—on every bet placed. This is one of the most effective and sustainable ways sports betting apps make money consistently, regardless of game outcomes.

2. Personalized Betting Suggestions to Boost Volume

Through machine learning and behavioral tracking, users are shown tailored bets based on their preferences—sports type, bet amount, time of day, and more. This kind of personalization increases engagement, encourages more betting activity, and ultimately boosts total wager volume. If you're considering how to make a betting app, personalized UX should be at the center of your feature planning.

3. Fantasy Sports with Tiered Entry Fees

In apps offering fantasy contests, users pay varying entry fees depending on contest size and payout potential. The app keeps a commission on every entry, which scales quickly as more users join. This model is particularly attractive for those looking at how to create a sports betting app that isn’t entirely dependent on regulated sportsbook operations.

4. In-App Advertising and Sponsored Placements

Large user bases generate high traffic, and that traffic can be monetized. Betting apps can serve programmatic ads, feature sponsored picks, or integrate branded content. AI ensures these placements are relevant to each user, increasing click-through rates. For developers asking how do sports betting apps make money beyond wagers—this is a low-cost, high-margin method.

5. Advanced Analytics as a Premium Offering

Some users want more than just odds—they want insights. By offering paid access to expert picks, AI-generated predictions, and trend reports, apps can upsell serious bettors. These tools appeal to those actively seeking how to make money online sports betting, and they represent a growing subscription-based revenue channel.

6. Affiliate and Partner Revenue Streams

Betting platforms often build partnerships with sports media companies, influencers, and fantasy tools. When a partner refers to a new user, the app pays a commission—or earns one when sending traffic out. AI and API integration play a key role in tracking attribution and optimizing campaign ROI. This is a vital stream for those mapping out how to start a sports betting app with growth partnerships in mind.

7. Loyalty Programs, Points, and Subscriptions

Gamification through badges, rewards, and tiered loyalty levels encourages users to stay active. Some apps now offer premium subscription tiers that unlock better odds, exclusive contests, or ad-free experiences. These programs increase lifetime value while adding predictability to revenue—key for platforms built by forward-looking AI app development companies.

These monetization layers don’t just happen—they’re the result of deliberate planning, AI chatbot enhancements, API integration, and advanced platform development.

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Ethical, Legal, and Regulatory Considerations

Building a sports betting platform isn't just about algorithms and odds—it’s also about responsibility. As AI becomes more embedded in how these platforms operate, the ethical and legal frameworks around them grow increasingly important.

Whether you're asking how do sports betting apps make money or how to create a sports betting app, these are the areas that can make or break the long-term viability of your product.

Here are the core issues every betting app must address:

1. Data Privacy and User Consent

AI needs data to work well—but collecting, storing, and analyzing personal betting behavior must comply with data privacy laws (like GDPR and CCPA). Transparent policies are no longer optional.

2. Gambling Addiction and Behavioral Targeting

Personalization can quickly turn into overexposure. Apps that use AI to increase engagement must also recognize when users are showing signs of problem gambling and step in with responsible gaming features.

3. Age Verification and Access Control

As AI makes onboarding easier, it also raises the bar for verifying user identity and legal age. Automated systems must be in place to comply with national and state gambling laws.

4. AI Bias and Transparency

Algorithms can be skewed by the data they learn from. If odds or personalized promotions systematically disadvantage certain groups, platforms can face ethical and regulatory backlash.

5. Geo-Fencing and Legal Compliance by Region

Not every state or country allows online sports betting. AI and API integration must work with geolocation tools to ensure users only access legal betting options in their area.

6. Advertising and Marketing Restrictions

Many jurisdictions now limit how and where betting apps can advertise—especially when it involves incentives like "risk-free bets." AI-driven marketing must stay within these bounds to avoid fines or bans.

Every platform, whether it’s FanDuel or a new entrant asking how to make a sports betting app, needs to think beyond the tech. The challenge isn’t just building an app that performs—it’s building one that can sustain growth under regulatory pressure and public scrutiny.

Future-Proofing: What’s Next for AI in Sports Betting?

The pace of innovation in sports betting isn’t slowing down—it’s accelerating. As user expectations rise and technology advances, apps must evolve or risk being left behind. For developers, investors, and operators alike, the question isn’t just how do betting apps make money now, but how they’ll continue to do so tomorrow.

Here’s what’s shaping the future of this industry:

1. Hyper-Personalized Betting Journeys

Expect apps to move beyond basic suggestions. AI will craft entire betting experiences around individual users—offering tailored odds, timing, and content that feels almost curated.

2. Voice and Gesture-Based Interfaces

As voice assistants and smart devices improve, placing a bet might be as easy as saying it out loud. AI-driven AI chatbot interfaces will also become more conversational and context-aware.

3. Predictive Bet Builders

Instead of users building their own parlays, apps may soon offer automatically generated bets with a high chance of matching user preferences—based on past data and real-time trends.

4. Immersive Betting with Augmented Reality

Live stadium experiences and in-game overlays could soon merge with betting. Fans could point their phones at a game and see real-time odds floating over players.

5. Global Expansion with Local Compliance Engines

Platforms will increasingly expand into new markets—but only with AI systems that adapt betting options, terms, and layouts to match local laws and languages.

6. Opportunities for New Entrants

Thinking about how to make a betting app or how to start a sports betting app? The barriers to entry are lowering, but the quality bar is rising. Success will hinge on building with smart tech from day one—whether it’s for risk modeling, fraud detection, or API integration.

The future of sports betting will be more intelligent, more intuitive, and more integrated with everyday tech. The real winners will be the platforms that understand not just how to make money online sports betting, but how to do it with innovation, compliance, and user experience in mind.

Conclusion: Smarter Betting, Smarter Platforms

Sports betting has come a long way from paper slips and crowded sportsbooks. Today’s platforms are digital-first, data-driven, and deeply personalized. And at the heart of it all? Smart technology that helps apps not only serve users—but scale profitably.

As we’ve seen, the answer to how do betting apps make money isn’t simple. It involves dynamic odds, predictive modeling, personalized engagement, strategic fees, and highly optimized experiences—all powered by AI. FanDuel is a clear example of how sports betting apps make money by blending intelligent systems with user-centric design.

If you're looking into how to make a sports betting app, the path forward is both exciting and competitive. Success depends on more than just building an interface. You need infrastructure, automation, compliance, and user-focused innovation baked in from the start.

Why Choose Biz4Group?

Biz4Group is more than a development team—we're a sports betting app development company that understands the full scope of building and scaling intelligent betting platforms. From AI integration and machine learning models to custom API integration, UI/UX design, and regulatory alignment, we help our partners go beyond launch and into leadership.

Whether you’re exploring a new venture or upgrading an existing product, Biz4Group brings the experience and technical depth to deliver a smarter, more profitable solution.

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FAQ

1. How do sports betting apps make money beyond just taking bets?

Sports betting apps generate revenue through various channels: sportsbook margins (the “vig”), fantasy contest entry fees, in-app advertising, casino games, and premium analytics tools. With advanced AI integration, these platforms personalize user experiences and increase engagement—key drivers in how sports betting apps make money today.

2. How does AI sports betting work?

AI sports betting uses machine learning and predictive analytics to process massive amounts of data—like team stats, player performance, betting patterns, and even live game conditions. This data is used to generate real-time odds, create personalized bet suggestions, and reduce risk for the platform. For anyone exploring how to make a betting app, integrating AI is now a standard practice for optimizing both user experience and profit margins.

3. How accurate is AI sports betting?

AI models can significantly enhance prediction accuracy, but they’re not foolproof. Their success depends on the quality of data, the modeling approach, and how often the system is updated. While AI can outperform gut-based betting strategies and static odds, it doesn't guarantee results. However, its role in improving odds efficiency and risk management is one reason how betting apps work smarter today than ever before.

4. Can I build a sports betting app without AI features?

While it's possible to develop a basic sports betting app without AI, incorporating AI functionalities is essential for competitiveness in today's market. AI enhances user engagement through personalization, optimizes operational efficiency, and provides advanced analytics. Partnering with an experienced AI development company can ensure your app leverages these benefits effectively.

5. What are the key considerations when starting a sports betting app?

Key considerations include understanding the legal and regulatory landscape, ensuring robust security measures, integrating reliable payment systems, and incorporating AI for personalization and data analysis. Collaborating with a specialized sports betting app development company can provide the necessary expertise to navigate these aspects successfully.

Meet Author

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Sanjeev Verma

Sanjeev Verma, the CEO of Biz4Group LLC, is a visionary leader passionate about leveraging technology for societal betterment. With a human-centric approach, he pioneers innovative solutions, transforming businesses through AI Development, IoT Development, eCommerce Development, and digital transformation. Sanjeev fosters a culture of growth, driving Biz4Group's mission toward technological excellence. He’s been a featured author on Entrepreneur, IBM, and TechTarget.

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