How to Develop an AI-Powered Sports Betting App like Bet365 That Delivers Profitable ROI in Just 90 Days

Introduction:

A sports betting app is not a new concept for today's generation. Earlier, traditional betting mostly depended on human judgment and personal experience, but since AI has entered the betting industry, it has totally made sports betting exciting for everyone.

An AI sports betting app is a digital platform that uses artificial intelligence to help users place smarter bets. It analyzes sports data, player performance, and live match updates to deliver more accurate predictions and insights.

Millions of users place bets across apps like Bet365, DraftKings, FanDuel, and many more. The global sports betting industry is projected to reach $187.39 billion by 2030. Right now, sports betting covers over 40% of the market worldwide in the gambling industry. That's a huge growth. If you are an entrepreneur looking to develop a sports betting app like Bet365,  you must consider sports betting app development because it's definitely a profitable investment.

Let's see the numbers to understand the real impact of sports betting.

• Most of this money comes from sports betting and casinos, which together hold about 70% of the share.

• Sports betting is most popular in Canada, where 52.9% of users participate.
• Sports betting made $11 billion in the U.S. in 2023, and growth will continue as more states legalize mobile betting.

• By 2028, the market for mobile sports betting apps will reach $4.5 billion.

What Technologies Are Used to Build a Sports Betting App?

You need to use multiple mixes of technologies to make a highly functional sports betting app. Use AI and machine learning to analyze games and predictions, and real-time analytics platforms like Kafka and Google BigQuery to handle large amounts of sports data in real time. Cloud services (AWS, Google Cloud) to scale your app in the future to handle the app’s scale. Plus, make sure to implement blockchain, SSL encryption, and secure payment gateways like Stripe for an easy transaction.

Benefits of Developing an AI Sports Betting App

In the world of AI and digital technologies, sports betting is no longer just about luck or gut feeling. It now uses well-researched data backed with stats and gives real-time updates to make betting more accurate and engaging. Developing an AI sports betting app has sure-cut benefits for both users and businesses. Here are some of the benefits of developing an AI sports betting app.

#1. Increased User Engagement

It keeps users continuously engaged with real-time updates, smart predictions, and other interactive features. It provides live stats, instant notifications, and many betting options, so even a new and experienced player can bet on their favorite sports.

#2. Higher Betting Accuracy

AI can predict better than humans because it studies past matches, player stats, and real-time game data to offer better predictions. This increases your chances of winning instead of trying your luck by chance.

#3. Instant Data Insights

Time is precious in betting, as thousands of people are already betting. With a sports betting app, you can easily get instant match insights, odds, and predictions without delays because AI can analyze large volumes of sports data in seconds.

#4. Personalized User Experience

AI is smart enough to track your betting patterns and favorite sports. Hence, the app will suggest personalized tips, odds, and promotions tailored to your interests.

#5. Advanced Fraud Detection and Security

Sports betting apps are safe to use as they detect unusual activities, fake accounts, or suspicious betting patterns. You can trust the sports betting app as it has fraud protection, data protection, and secure payment gateways.

#6. 24/7 AI Chatbot Assistance

An AI chatbot is always available 24/7 to help with queries related to placing bets, checking odds, or fixing account issues.

Different Types Of AI Sports Betting App With Example

Research says that about 66% of sports bettors place bets on more than one sport. AI sports betting apps come in different types based on the sport. The most popular ones include football betting apps, basketball betting apps, and baseball betting apps. There are also tennis betting apps, cricket betting apps, and horse racing betting apps. eSports betting apps are growing fast too.

#1. Football (Soccer) Betting Apps

Football betting apps allow you to place bets on local and international football matches. It studies team stats, player performance, and live match data to predict outcomes. They cover everything from leagues like the Premier League to World Cup matches.

Examples: FanDuel, DraftKings, BetMGM

#2. Basketball Betting Apps

Basketball betting apps focus on the NBA, college games, and global tournaments. AI tracks player stats, injury updates, and live match conditions to give smarter betting suggestions. Users can bet on outcomes like team wins, total points, or even specific player performance.

Examples: AI Basketball Betting Tipster, Caesars Sportsbook, Bet365

#3. Baseball (MLB) Betting Apps

Baseball betting apps allow you to place bets on MLB games and other leagues. It studies past performance, pitching stats, batting averages, and in-game conditions to provide winning insights. You can place bets on team results, home runs, or innings outcomes.

Examples: Cappers.ai, Ace Picks, BetQL

#4. Tennis Betting Apps

Tennis betting apps allow bets on singles, doubles, and tournaments like Wimbledon or the US Open. It uses AI to make predictions based on player form, head-to-head stats, and even live court conditions.

Examples: WinnerOdds, BestSmartAI, Oddschecker+ AI Betting Tool

#5. Horse Racing Betting Apps

With horse racing betting apps, you can bet on races worldwide. It uses AI to analyze jockey performance, horse history, track conditions, and betting trends to give a correct prediction.

Examples: BetMGM Racebook, DK Horse, TVG

#6. Cricket Betting Apps

Cricket betting apps are popular in regions like India, the UK, and Australia. They allow bets on T20, ODI, and Test matches. AI tracks player stats, pitch conditions, and live match updates to suggest smarter bets.

Examples: BetBurger, Bet365, Cricket Bet Pro

#7. eSports Betting Apps

Esports betting apps are for placing bets on video games like Dota 2, CS: GO, or League of Legends. With AI, these apps analyze player strategies, team performance, and tournament data to predict outcomes.

Examples: BetRivers, Rivalry AI

What Are the Key Features of an AI-Powered Sports Betting App?

If you’re planning to build an AI-powered sports betting app, focus on features that add value for users. Start with strong authentication and secure payments to build trust. Add real-time updates, live betting, and AI-driven predictions for accurate insights. Include a personalized dashboard, odds comparison tool, notifications, and multi-language support. Social features, leaderboards, and advanced filters are best for boosting engagement and make your app enjoyable.

A Step-by-Step Process To Develop An AI Sports Betting Predictions App

To build an AI sports betting predictions app, you first need to research the market and gather requirements. Once the concept is clear, create wireframes and designs to plan the user journey. Developers then handle the backend, frontend, and AI tool integration for predictions. Test the app carefully for bugs and accuracy before launch. The final step is deployment, where your app goes live and starts giving real-time, data-driven betting insights to users.

Let's understand each step to build a sports betting app in brief to get more clarity.

#1. Market Research and Requirements Analysis

To make sure your sports betting app is useful for betters, you need to find out who your bettors are, where they live, and which sports and bet types they are interested in. Study competitors, data vendors, and legal rules (licensing, KYC/AML, geofencing). List must-have features and tech stack for sports betting apps.

Study your target audience, like are they casual fans who place small bets for fun, or serious bettors who want in-depth predictions and advanced analytics? By understanding market demand, competitors, mobile app development cost, and user expectations, you can prepare a design, the right features, pricing, and overall app experience according to users.

As today’s sports fans want fast, secure, and AI-driven experiences, consider the questions below to shape your research effectively:

• What is the current demand for AI-powered sports betting apps in different regions?
• Who is the target audience: casual bettors, professional bettors, or fantasy sports enthusiasts?
• How do existing betting apps monetize their services (subscriptions, ads, commissions, tips)?
• What features or user experience gaps can make your app unique from other competitors? 

#2. Conceptualization and Wireframing

Once you know your audience or overall requirement, it's time to prepare a wireframe according to your app concept. This will help developers understand the flow of your app, how users will sign up, explore matches, place bets, check predictions, and withdraw winnings.

It helps you visualize the screens, buttons, and navigation, and understand how easy to use and meets user expectations. You can identify the gaps or complexities early. Overall, wireframes make the user journey clear for both your team and developers.

The entire app will be made from a wireframe and concept, hence it's important to clear below questions to have a solid start of sports betting app development.

• What should the first-time user journey look like from sign-up to placing the first bet?
• How can you design a simple bet slip flow that avoids confusion?
• Which screens are essential (home, live matches, predictions, wallet, results, profile)?
• How will users access advanced AI predictions or insights in just a few taps?

#3. UI/UX Design Creation

Now it's time to design the actual look and feel of your sports betting app. This step focuses on how the app will appear to users and how smooth their experience will be while using it. From color schemes and typography to button placement and interactive elements, everything should make the app easy, quick, and enjoyable to use.

Sports bettors want clear odds, quick navigation, and real-time updates without any confusion. To make sure your UI/UX design is easily understood and used, think as a bettor and ask yourself these questions:

• Does the design make betting slips, odds, and payouts easy to read at a glance?
• Are the colors, typography, and icons consistent with your brand and audience preferences?
• Is the app designed for both beginners (simple flows) and advanced bettors (detailed dashboards)?
• How can you design for real-time updates without overwhelming the user?

#4. Backend and Frontend Development

Considering design, functionalities, and overall app requirements, start developing the sports betting app. Start with developing basic functionalities like user accounts, payments, AI predictions, and secure transactions, as these are essential for the app to work smoothly. 

You can also hire app development agency USA to have peace of mind as this step needs many technical processes like setting up databases, APIs, and integrations with sports data providers, payment gateways, and security tools.

To guide your development, consider these key questions:

• What technology stack will ensure speed, scalability, and real-time data updates?
• How will the app securely manage payments, withdrawals, and digital wallets?
• Are APIs well-structured to handle live odds, AI predictions, and user activity?
• How can the backend support thousands of users during peak matches without crashing?
• Is the frontend optimized for smooth navigation and live data streaming?

#5. Integration of AI and Data Analytics Tools

The entire sports betting functionality is based on AI and data analytics. Hence, it's important to integrate a suitable AI model and train high-quality data sets to make sure the app predicts the right results.

The AI functionality includes real-time odds, betting suggestions, and even personalized recommendations according to tailored users. This will require studying which games they bet on most or when they are most active.

Ask yourself these questions when adding AI and analytics to your app:

• What kind of data sources (live scores, player stats, historical matches) do you need to connect?
• How will AI predictions be presented—through tips, odds adjustments, or alerts?
• Are your AI models trained and tested for accuracy and fairness?
• How can analytics help personalize the user experience and boost retention?
• What safeguards are in place to prevent bias or unreliable predictions?

#6. Testing and Quality Assurance

Once the development is done, here is the most important phase, the testing phase. Test the entire module and functionalities one by one, such as placing a bet, making payments, updating odds, and recommendations according to the user by region and sports type, and more.

Do security, performance, and compliance tests to ensure your app performs properly during peak time and meets legal standards.

To launch your sports betting app with confidence, make sure to discuss these questions with your QA and testers.

• Are payment systems, wallets, and withdrawals tested for accuracy and security?
   
• Can the app handle high traffic during big matches or tournaments?
• Are all AI predictions accurate, fair, and updated in real time?
• Have you run compliance checks to meet regional laws and betting regulations?

#7. Deployment and Launch

Once you get a green signal from your QA and testing team. It's time to deploy the app and wait for it to make money. Decide where you want to release your app first, hire an Android app developer if you wish to release it on Google Play Store, or take help from iOS app development services to launch on the App Store.

For a successful launch, create marketing campaigns, user onboarding flows, and support systems to help new users. Keep tracking user performance and make quick changes according to feedback.

• To make your sports betting app generate a good ROI, focus on below things.
• Have you optimized the app store listing with the right keywords, screenshots, and descriptions?
• Are servers and cloud infrastructure ready to handle peak traffic smoothly?
• What marketing and promotions will attract your first wave of users?

What are the Challenges in AI Sports Betting App Development?

If you have decided to make an AI sports betting app, then be prepared for some key challenges. Make sure you only take real-time data from legit sources to ensure accurate predictions. Regulatory compliance across regions becomes compulsory, as betting laws change from region to region. Managing advanced machine learning models requires strong expertise, while protecting user data and privacy is critical. You can reduce your stress by hiring an experienced android app development company USA to ensure fair results.

#1. Integrating Reliable and Real-Time Data Sources

Sports betting apps depend heavily on live match stats, odds, and player performance data. If this data is delayed or inaccurate, users lose trust quickly. Hence, always partner with trusted sports data providers and use robust APIs that deliver real-time, verified information.

#2. Ensuring Regulatory Compliance Across Regions

Betting laws are different in every region, and what’s legal in one country may be restricted in another. Work with legal experts to understand local regulations and build compliance features right into the app. Geo-blocking, licensing checks, and region-based rules can save you from legal troubles.

#3. Managing Complex Machine Learning Algorithms

AI models that predict match outcomes are complex and need constant training with fresh data. Hire a skilled AI/ML team on board, automate model updates, and test algorithms regularly. Use cloud-based AI services to scale the app as it grows.

#4. Maintaining User Data Privacy and Security

Betting apps need to handle sensitive user information and bank details to pay and bet. Also, this makes it a target for hackers and other fraudsters. Hence, use encryption, multi-factor authentication, and regular security audits. Always comply with data privacy laws like GDPR, and tell users how you are gonna use their data and how it's protected.

#5. Addressing Potential Bias in AI Predictions

If the trained data is biased, AI can make decisions in favour of certain teams and give wrong predictions. Train models with diverse datasets, monitor predictions closely, and add transparency features so users know how results are generated.

How Can You Maximize Revenue Opportunities with Your AI Sports Betting App?

The ultimate goal of creating a sports betting app is to generate money. This can be done by implementing the right monetization strategies. You can maximize your revenue opportunities by using subscription plans, in-app ads, commission-based winning, affiliate marketing, or providing paid betting/expert tips.

#1. Subscription Plans for Premium Features

Subscription-based plans give you a stable income from the app. Here, users need to pay monthly or yearly to use advanced features like detailed stats, personalized insights, or exclusive betting tools.

#2. In-App Advertising

In-app ads work best when you place them at the right position without disturbing the experience. Display targeted ads inside your app, such as sports brands, casinos, or merchandise. Every click or view will help you earn extra revenue.

#3. Commission on Winnings

You can charge a small percentage of user winnings made through your app. This way, the more they win, the more you earn too.

#4. Affiliate Marketing Partnerships

Partner with other sports, betting, or gaming platforms to earn a commission when users sign up through your app.

#5. Paid Betting Tips and Expert Predictions

Provide expert betting tips and predictions at some price. Serious betters will definitely pay for this if they benefit from the tip and earn more.

How Much Does Sports Betting App Development Cost?

The price of a sports betting app depends on how advanced you want it. A basic version can easily be done within a cost $20,000 – $40,000, and a medium one about $50,000 – $80,000.

High-functionality apps with AI, live odds, and custom features can cost $80,000 – $120,000. Look at the table below for a detailed cost breakdown.

Cost Breakdown According to App Type

Cost Analysis of AI Sports Betting App Development According to Different Stages

Timeline Analysis for AI Sports Betting App Development