How Much Does it Cost to Build AI fitness apps like Fitbod?

In this technology-driven era, AI has been at the forefront of reshaping personalized healthcare. As people have become more aware of their health, they track every movement to detect injuries and any other failures- all thanks to AI fitness app and related technologies.

AI-driven fitness apps not only just help you track your fitness, it also help you improve and achieve your goals. This is why, people now prefer at-home gyms over traditional ones, rising the global fitness application market. 

You can see the rising popularity of fitness apps. However, fitness apps are not new, but with time we have witnessed new features and functionalities from tailored workout plans to real-time feedback to meet unique and modern-age health demands. 

You will find many fitness apps in the market, with Fitbod leading the fitness market in offering next-level healthcare and fitness experiences.

Fitbod has set the bar so high with its advanced features and personalized fitness regime, making it difficult to stand out. Seeing Fitbod’s exemplary success, businesses seek AI-powered fitness apps to enter this competitive market and generate revenue from its increasing market demand. 

To develop an AI-powered fitness app like Fitbod, businesses must understand the financial commitment. 

In this blog, you will learn what makes Fitbod a leading market player, its features, cost to develop, factors affecting overall cost, and monetization models.

This detailed analysis will help you understand the cost of developing an AI fitness app like Fitbod. 

But, first, understand why you need to invest in developing an AI fitness app.

Reasons to Invest in the AI Fitness Industry

The fitness market is booming, to meet the modern-age user’s unique fitness demands. The below stats show that entering the fitness app market will never go out of revenue.

Let’s take a look at other significant reasons that you must invest in developing an AI-powered fitness app.

1. Expanding Health and Fitness Market

More people prioritize their health is the main reason behind the growth of the fitness industry worldwide. Mobile fitness apps make it easy for users to access workouts, diets, and health tracking. Build your own fitness app to tap into this booming market.

2. Personalized Fitness Experience

With the rise of personalization, getting personalized fitness plans is another market demand. AI-powered apps like Fitbod create workout plans tailored to each user’s goals, interests, and progress.

Fitness apps offer a level of customization that gyms or group programs can’t match, making this a key trend in tech.

3. On-Demand Access

The main benefit of fitness apps is that they’re always available. Users can work out anytime and anywhere—on the go.

For busy people or those who prefer home workouts, the flexibility of fitness apps is a big draw. Creating a fitness app lets users easily fit exercise into their daily routine.

4. Revenue opportunities

Developing an AI fitness app will never go out of style. If you choose the right monetization approach, integrated with advanced features and functionalities, you will start generating revenue.

So start your homework, and analyze your competitor like Fitbod to deliver personalized and on-the-go fitness experiences. Choosing a revenue approach helps in setting the Cost to Build AI fitness apps.

The reasons are promising and influencing enough to start your AI fitness app journey. Find your loyal and reliable AI app development services partner to make an impact on your audience. 

Now, let’s take a look at how Fitbod works and the offerings that make it an industry-wide example. 

Understanding the Dynamics Behind Fitbod and Its Popularity

Fitbod has gained immense popularity due to its advanced features to meet unique fitness demands. It made its market entry in 2015 with more than 100k downloads and $1M in revenue generated. 

It uses Artificial intelligence algorithms to offer personal fitness plans based on the user’s fitness levels, and workout goals. This app dynamically adjusts the workout preferences based on the user’s progress, ensuring they get a variety of activities for maximum results.

Not only this but over time, Fitbod has improved its functionalities and integrations. In 2023, Fitbod extended its support for Apple Watch users so they can sync their workout data to get real-time feedback.

Also, it improved its AI capability to create more personalized workout plans for better engagement. 

Apart from this, Fitbod incorporates features like-

• Exercise Library with more than 400+ videos
• Equipment selection
• Progress tracking
• Goal setting
• AI personal trainer
• Body heat map to visualize your muscle fatigue 
• Integration with wearables

To integrate features like Fitbod and make it more innovative, you must know how much it will cost to develop an AI fitness app like Fitbod.

Cost to Build AI fitness apps Like Fitbod

The cost to develop a fitness app may vary depending on your business goal and targeted audience. So, we have provided an estimated cost range from simple to advanced features.

It might be possible that you reduce some features and add some to customize Fitbod-like app development.

But, when we talk about AI fitness app development like Fitbod the cost ranges from $50k to $300k, based on its advanced functionalities.

The cost may vary depending on several factors that you must consider before starting AI fitness app development.

Factors Affecting The Cost to Build AI fitness apps like Fitbod

While talking about investment, businesses must consider all possible factors that can impact the overall expenditure.

However, where AI technology is used, the cost will automatically go high. So, let’s uncover those crucial factors that are necessary for strategic planning and development.

1. Features and App Complexity 

The cost to build an AI app like Fitbod depends on its advanced features and functionalities. Apart from basic functionalities like progress tracking, fitness plans, and workout monitoring, the cost will increase by integrating AI capabilities.

Adding features like real-time analytics, voice recognition, personalized workout plans, and recommendations to improve the regime, will increase the cost. 

Adding more features will also increase the app’s complexity which requires AI experts to manage, improve, and maintain with time. 

2. Choice of Platform

The choice of platform depends on your target audience. Choosing between cross-platform and native fitness app development will impact the overall cost.

However, Fitbod itself is a cross-platform app that expands its range and targets more audience. 

While, if you choose native app development, it limits your market segment but offers a greater level of customization and better performance.

Cross-platform frameworks save you development costs and time. There is no doubt that native app development is good in terms of performance and optimization. But, looking at the market need, cross-platform wins the market needs. 

3. AI/ML Integration to determine the Cost to Build AI fitness apps

Integrating AI/ML is not a one-step process. It includes training algorithms to maintain and improve it over time to deliver advanced results, leading to increased costs. It also includes costs regarding-

• Gathering and analyzing larger user’s datasets
• Training AI models to provide accurate results
• Regular updates
• Adhering to AI security regulations
• Implementing compliance standards

The AI integration may cost from $20,000 to $50,000 or more.

4. Size and location of Development Team

The development team also plays a major role in deciding the overall cost of developing an AI app like Fitbod. Considering AI requires a larger team involving expertise in data science, UX/UI design, API integrations, AI/ML, and testing. 

You might hire a larger development team with wide expertise and experience, increasing significant hiring costs.

Businesses can choose from In-house teams, freelancers, or outsourced AI developers, incurring costs. Hiring developers from a specific region will also add to the overall development cost. 

5. Legal and Administrative Cost to Build AI fitness apps

Legal and administrative expenses are an important part of app development. These costs include obtaining necessary licenses, and patents, and protecting intellectual property.

In the case of the fitness app, AI uses the user’s data to improve itself and train. So, businesses must keep their data safe and take their consent before using their data. 

You must create clear terms of service, and privacy policies to comply with data protection laws and user agreements. This might increase your development cost, but also ensures the user’s trust.

6. Maintenance and Support

Striving within a competitive market is challenging. Having the same old design forever will not keep your users engaged. You need to stay updated and follow market trends to get a leg up.

This is where businesses need to invest in maintenance and support to deliver next-gen fitness experiences to their users.

Consistent maintenance helps businesses to

• Improve app
• Reduce bugs and identify the app’s loopholes
• Improve experiences
• Add new features and integrations
• Launching new plans and features
• Train AI models with the latest data

These ongoing efforts help the app stay competitive in the fast-changing fitness market. It’s also important to remember that the cost of maintaining and updating the app affects the overall development budget.

Also read- How is AI Set to Reshape The Fitness Industry in 2025?

Features to Integrate in Your AI-powered Fitness App Like Fitbod

AI-powered fitness apps like Fitbod offer several features that help deliver personalized fitness experiences. These features will improve the quality of your fitness and help you stand out in a competitive industry.

1. Workout Tracking and Metrics

The app tracks workout data and provides detailed metrics to monitor progress. This helps users understand their training patterns and performance to reach their fitness goals.

2. Personalized Workouts

Fitbod creates custom workout plans based on your fitness goals, experience, and available equipment. It uses past workout data and preferences to tailor routines just for you.

3. Muscle Tracking

Fitbod tracks which muscles are engaged during each exercise, helping users understand muscle usage. This feature helps ensure a balanced workout and focus on specific muscle groups when needed.

4. Flexible Fitness Plans

Fitbod offers the ability to design custom workout plans by choosing exercises from a large library. Users can adjust their routines based on preferences, available equipment, and targeted muscle groups.

5. Corporate Wellness Program

Fitbod For Work supports employee wellness by aligning fitness goals with company objectives. This program boosts overall employee health and delivers a positive return on investment.

6. Affordable Pricing

One of the most important features is its affordable pricing which comes in different plans based on the user’s access to advanced features. It helps businesses generate revenue out of user’s demand for premium fitness. 

7. Wearable integration

Make sure your fitness app shows great compatibility with all wearable devices to expand your user base.

Integrating your app with wearables like Fitbit, Apple Health, and Strava tracks heart rate, sleep, and steps, giving real-time updates on health.

It helps users to track their health and fitness metrics in real time with instant notifications about abnormal activities. 

8. Nutrition and meal planning

Most users go for balanced diet planning alongside their workout plans. What could beat a feature that helps users to plan their meals based on nutritious value?

With AI tracking all your health data, it recommends a personalized meal plan that complements your workout regime. 

9. Workout history

Make sure the app maintains workout history and trends. It helps users to review their exercise routines and their progress. 

10. Instructional fitness videos

The app must have a library that stores your fitness exercise videos that help users follow and correct their postures. Fitbod has more than 400+ stored videos to engage their users. 

11. Injury prevention and recovery

These AI fitness apps are very popular among sports athletes. It helps them prevent any injury by just analyzing a slight change in body posture or change in a workout.

These apps can track if a specific workout can result in high blood pressure or put more weight on an athlete’s muscles. It helps users maintain a safe and sustainable fitness plan.

12. Gamification

Adding gamified features keeps your users engaged and motivated, so they can complete their workout plan without a miss.

Elements like badges, rewards, and achievements keep users motivated and make their fitness experience more fun.

13. Monitor recovery and gains

Fitbod provides recovery recommendations based on the muscles you’ve worked. It calculates optimal rest periods between workouts to ensure muscle recovery, helping you avoid overtraining and injuries.

The app suggests when to target specific muscle groups and when to rest them to maximize recovery and gains.

Fitbod is a comprehensive fitness solution that focuses on creating effective workouts that meet unique fitness goals.

Adding advanced features significantly contributes to the Cost to Build AI fitness apps like Fitbod.

If you would like to increase features and go beyond the Fitbod experience, it will cost you more. But, it might be a one-time investment that you can generate revenue from in the long run.

Tech Stack Required to Build AI Fitness App Like Fitbod

Choosing the right tech stack for a Fitbod clone app is crucial to ensure good performance, scalability, and a smooth user experience. The technologies will affect the app’s speed, stability, and ability to handle more users as it grows.

A well-chosen tech stack also makes maintenance easier, speeds up updates, and supports advanced features, all of which help the app succeed in the long run and keep users satisfied.

It’s important to remember that your tech stack will also influence the overall cost of developing an AI fitness app like Fitbod. 

Here’s a recommended tech stack for creating an app like Fitbod.

Simple Key Steps to Start Your AI Fitness App Development Journey

Entering into a highly competitive industry like fitness requires a strategic approach and detailed market analysis. From ideation to successful deployment is not a one-step or overnight journey, it requires AI experts to turn dreams into reality. 

As per our expertise in AI fitness app development, we are sharing our journey and development steps, so you can understand how it will go.

1. Detailed Market Analysis

Understanding the crucial pain points of users is important, whether it is personalization or real-time analytics. Conduct a detailed market analysis to understand

• What is your user’s fitness demand?
• What features help them engage?
• What features would they love in their fitness app?
• And how can you improve their need for personalized fitness?

This analysis will help businesses understand what features they should integrate into their fitness app. This groundwork helps them reduce the cost of developing unnecessary features and complex designs.

2. Intuitive Design and User Experience

Then comes the design phase which includes creating a creative design and user experience.

You can start with creating wireframes followed by MVP (Minimal Viable Product) for a more strategic and agile development approach.

As a fitness app includes many features, it is important that the end result will not have a complex UX/UI that deflects users from using it.

You must focus on the user’s need and their accessibility to navigate the app easily. Additionally, you can use user feedback from the testing phases to improve the overall experience.

This agile and iterative approach helps you fine-tune the app and meet every user segment’s need.

3. Fitness App Development and Integrations

After designing your user interface, it is time you move forward to the next stage of development and necessary integrations. This phase includes developing the front-end and back-end of your fitness app. You must focus on-

• What front-end technologies will work well?
• Choose your back-end options
• Cloud hosting, deployment servers, databases, APIs, and more
• Choose an AI model, train algorithms, and security

All these come as a part of your fitness app development. Also, you must make sure that your app integrates well across platforms, shows compatibility across devices, and allows users to-

• Chat
• Share workout plans
• Video and audio integrations
• Real-time notifications- push notifications, and more.

4. Testing and Quality Check

Without testing your app’s performance, you cannot launch it. Make sure your AI-powered fitness app like Fitbod works as expected while delivering an exceptional user experience. It requires rigorous testing and quality assurance. Testing an app requires-

• Checking all functionalities
• Navigation and UI
• App’s responsiveness
• Integrations working properly
• Stability across devices and platforms
• Usability test to check if the app meets users’ expectations

You must understand, that testing is an ongoing process that does not end with deployment. It should be conducted frequently to identify issues to deliver a consistent fitness experience while updating it.

5. Launch 

Here comes the most crucial part- launch your fitness app. After full-proofing your AI fitness app, you can launch your app on the Google Play Store and Apple Store, depending on your app’s compatibility.

Make sure your app follows all laws and adheres to rules and compliance regulations to meet app store requirements, otherwise, it might get disapproved.

Connect with a leading AI fitness app development company, that will help you follow guidelines and streamline your app deployment. 

6. Continuous Support and Improvements

Having popularity like Fitbod is challenging. You must come up with new ideas, features, and integration that is necessary to keep meeting current user’s needs.

As we have mentioned, Fitbod extended its support for Apple users in 2023, that’s a milestone for them to stand out in the crowd and expand their offerings.  

Keep analyzing your market trends, and find innovative solutions to integrate them with time to keep users engaged. Any product demand is driven by its market need, if you fail to do so, you will lose your investment.

Keeping track of your AI fitness app development process also helps you optimize the overall Cost to Build AI fitness apps like Fitbod.

Time Required to Develop AI-powered Fitness App Like Fitbod

As the ultimate goal is to generate revenue from your AI fitness app like Fitbod, we will now discuss the monetization models for your app.

How Do You Monetize From Your Fitness App Like Fitbod?

Choosing a perfect monetization model will help you generate revenue right from the start. Analyze your competitors like Fitbod and understand what plans they have in place. 

• Subscription-based model- this model incurs a recurring fee from the users to access the app’s features. It might be a monthly or annual subscription with multiple plans, with access to different services. It means users can access premium features by paying a little extra. 
• The freemium model offers a free version of the app with basic features. Users can access essential tools, but to unlock advanced options like personalized workout plans and exclusive content, they can choose to upgrade to a premium subscription. This approach attracts a large number of users and encourages them to pay for enhanced features.
• In-app purchases let users buy extra features or content, such as advanced workout programs or virtual upgrades. This model allows users to pay only for the features they want while generating additional revenue beyond the free version of the app.

• The ad-supported model displays ads in the free version of the app, such as banners, interstitials, or video ads. Users can access the app for free, while revenue is earned from ad views. This helps make the app available to a wider audience.
• Online Coaching and Personal Training offer paid one-on-one virtual coaching sessions and customized training programs within the app. This model provides users with personalized guidance and expert support, generating revenue by charging for these specialized services.

You can use multiple monetization approaches for your fitness app and generate revenue. To streamline your AI fitness app development, you must understand strategic tips to reduce your costs.

Tips to Reduce Cost to Build AI Fitness App Development 

It’s important to stick to your planned budget when developing the fitness app. Don’t forget to factor in the ongoing costs for app maintenance, as this will also affect your total budget.

If you’re concerned about going over budget, here are some tips to help keep development on track and within your financial limits.

• Plan the Requirements Before Starting App Development
• Hire the In-house Team for Your Fitness Mobile App
• Validate the App Idea Before Beginning Development
• Create an MVP to Test Your Idea in the Market
• Know the Software Development Process

Develop an AI-driven Fitbot-like Fitness App With OnGraph

As the fitness app industry grows, there’s more demand for personalized, engaging, and effective health solutions.

To stand out, it’s important to work with a top AI development company that combines technical skills and great user experience design.

In this blog, we have highlighted our insights on the Cost to Build AI fitness apps.

OnGraph is the right partner to help you do this. Our expertise in both technology and design ensures your fitness app will exceed user expectations.

With our proven success and commitment to quality, OnGraph is the ideal partner to turn your fitness app idea into reality.

Start your journey with us to understand the cost of developing an AI fitness app like Fitbod and bring your vision to life.