This dataset provides a detailed overview of gym members' exercise routines, physical attributes, and fitness metrics. It contains 973 samples of gym data, including key performance indicators such as heart rate, calories burned, and workout duration. Each entry also includes demographic data and experience levels, allowing for comprehensive analysis of fitness patterns, athlete progression, and health trends.

Key Features:

• Age: Age of the gym member.
• Gender: Gender of the gym member (Male or Female).
• Weight (kg): Member’s weight in kilograms.
• Height (m): Member’s height in meters.
• Max_BPM: Maximum heart rate (beats per minute) during workout sessions.
• Avg_BPM: Average heart rate during workout sessions.
• Resting_BPM: Heart rate at rest before workout.
• Session_Duration (hours): Duration of each workout session in hours.
• Calories_Burned: Total calories burned during each session.
• Workout_Type: Type of workout performed (e.g., Cardio, Strength, Yoga, HIIT).
• Fat_Percentage: Body fat percentage of the member.
• Water_Intake (liters): Daily water intake during workouts.
• Workout_Frequency (days/week): Number of workout sessions per week.
• Experience_Level: Level of experience, from beginner (1) to expert (3).
• BMI: Body Mass Index, calculated from height and weight.

This dataset is ideal for data scientists, health researchers, and fitness enthusiasts interested in studying exercise habits, modeling fitness progression, or analyzing the relationship between demographic and physiological data. With a wide range of variables, it offers insights into how different factors affect workout intensity, endurance, and overall health.

The Fitness Tracker Dataset for insights into health metrics, workout habits, and fitness trends. Ideal for EDA, ML, and health analytics.

Explore this extensive dataset on daily exercise and fitness metrics, designed to provide valuable insights into individuals' exercise routines, health status, and fitness progress. With a rich collection of attributes, this dataset enables researchers, fitness enthusiasts, and health professionals to analyze and draw meaningful conclusions about exercise patterns and their impact on overall well-being.

onurSakar/GYM-Exercise dataset hosted on Hugging Face and contributed by the HF Datasets community

One of the most effective ways to stay in shape is to take part in regular workouts at the gym. However, increasing numbers of gym-goers are supplementing their workout routine with online fitness services that allow them to workout in the comfort of their own home. During a 2019 survey in the United States, 35 percent of Millennials stated that they paid for an online fitness service.

let's break down each column in this fitness tracker app data:

1. UserID: This column contains unique identifiers for each user of the fitness tracker app. Each row corresponds to a specific user's data.

2. Date: This column represents the date on which the data was recorded or collected. It's likely in a date format (e.g., YYYY-MM-DD).

3. Steps: This column records the number of steps the user took on the given date. Steps are a common metric used by fitness trackers to measure physical activity.

4. Total_Distance: This column indicates the total distance covered by the user on the given date, likely measured in a unit such as kilometers or miles. It might be calculated based on steps taken and stride length.

5. Tracker_Distance: This column represents the distance recorded by the fitness tracker device itself, which could include steps as well as other factors like GPS data.

6. Logged_Activities_Distance: This column contains additional distance covered during specific activities that the user manually logged into the app. For example, if the user went for a run and entered the distance manually, it would be recorded here.

7. Very_Active_Distance: This column indicates the distance covered during activities classified as "very active," such as running, intense cardio, or high-intensity interval training.

8. Moderately_Active_Distance: This column represents the distance covered during activities classified as "moderately active," which may include brisk walking, cycling, or light jogging.

9. Light_Active_Distance: This column indicates the distance covered during activities classified as "light activity," such as casual walking, household chores, or light stretching.

10. Sedentary_Active_Distance: This column represents the distance covered while engaged in sedentary activities, such as sitting or lying down. It could be used to track inactive periods.

11. Very_Active_Minutes: This column records the number of minutes the user spent engaging in activities classified as "very active," typically high-intensity exercises that significantly elevate heart rate.

12. Fairly_Active_Minutes: This column contains the number of minutes spent engaging in activities classified as "fairly active," which are moderately intense activities that raise heart rate but are not as vigorous as "very active" activities.

13. Lightly_Active_Minutes: This column indicates the number of minutes spent engaging in activities classified as "lightly active," which include low-intensity activities that contribute to overall movement but do not significantly elevate heart rate.

14. Sedentary_Minutes: This column records the amount of time the user spent in sedentary behavior, such as sitting or lying down, without engaging in physical activity.

15. Calories_Burned: This column represents an estimate of the number of calories the user burned throughout the day based on their activity levels and other factors like age, weight, and gender. It's often calculated using algorithms that take into account activity data and user profile information.

Online Fitness Apps Market Outlook

The global online fitness apps market size was valued at approximately USD 6.0 billion in 2023 and is expected to reach around USD 20.7 billion by 2032, growing at a compound annual growth rate (CAGR) of 15.3% during the forecast period. This significant growth can be attributed to increasing health consciousness, technological advancements, and the rising penetration of smartphones and internet connectivity worldwide.

One of the primary growth factors for the online fitness apps market is the increasing awareness about health and wellness among consumers. As sedentary lifestyles and unhealthy eating habits become more prevalent, individuals are becoming more proactive about their health, seeking convenient and accessible ways to maintain fitness. Online fitness apps provide users with personalized workout plans, diet recommendations, and fitness tracking features, making it easier for users to achieve their health and fitness goals without the need for a gym membership.

Another key driver is the rapid advancement in technology, particularly in mobile and wearable devices. The integration of artificial intelligence (AI) and machine learning (ML) in fitness apps has enabled the creation of highly personalized and adaptive fitness programs. These technologies can analyze user data to provide customized recommendations, track progress, and adjust plans in real-time, offering a more engaging and effective fitness experience. Additionally, the rise of the Internet of Things (IoT) has allowed for seamless connectivity between fitness apps and wearable devices, further enhancing the user experience.

The COVID-19 pandemic has also played a significant role in accelerating the adoption of online fitness apps. With lockdowns and social distancing measures in place, many people turned to digital solutions for their fitness needs. Fitness apps provided a convenient and safe alternative to traditional gym workouts, allowing users to stay active and maintain their fitness routines from the comfort of their homes. This shift in consumer behavior is expected to have a lasting impact, driving continued growth in the market even as restrictions ease.

In the realm of online fitness, the integration of tools like a Gym Timer has become increasingly valuable for users seeking to optimize their workout routines. A Gym Timer not only helps in managing workout intervals but also enhances the efficiency of exercise sessions by allowing users to focus on their performance without constantly checking the clock. This tool is particularly beneficial for high-intensity interval training (HIIT) and circuit workouts, where precise timing is crucial for maximizing results. As fitness apps continue to evolve, incorporating features such as Gym Timers can significantly improve user experience by offering structured and time-efficient workouts, thereby supporting users in achieving their fitness goals more effectively.

From a regional perspective, North America currently holds the largest share of the online fitness apps market, driven by high smartphone penetration, advanced healthcare infrastructure, and a growing focus on preventive healthcare. However, the Asia Pacific region is anticipated to witness the fastest growth during the forecast period, fueled by rising disposable incomes, increasing health awareness, and the rapid adoption of digital technologies in countries like China and India.

Type Analysis

The online fitness apps market can be segmented by type into workout and exercise apps, nutrition and diet apps, activity tracking apps, and others. Workout and exercise apps dominate the market, offering a wide range of functionalities, including video tutorials, live classes, and personalized workout plans. These apps cater to various fitness levels and preferences, from yoga and pilates to high-intensity interval training (HIIT) and strength training. The convenience and flexibility offered by these apps have made them highly popular among users seeking to maintain an active lifestyle.

Nutrition and diet apps are another significant segment, providing users with tools to track their food intake, monitor calorie consumption, and receive dietary recommendations based on their fitness goals. These apps often incorporate features such as meal planning, grocery list generation, and integration with fitness trackers to offer a comprehensive approach to health and wellness. The growing awareness about the im

A total of 965 q&a pairs i gathered from the web related to physical activity and fitness.

Fitness-QA

This is a synthetic dataset for fitness content based on "neuml/txtai-wikipedia" embedding index. The generation of statements from context uses txtinstruct. This dataset contains questions generated from contexts using the statement generator "flan-t5-base" trained on SQuAD dataset. Each context includes generated questions with coherent relevant answers, and the irrelevant questions with (I don't have data on that). Fitness data is pulled from wikipedia data stored… See the full description on the dataset page: https://huggingface.co/datasets/hammamwahab/fitness-qa.

The global Personal Fitness System market, valued at $879 million in 2025, is projected to experience robust growth, driven by increasing health consciousness, the rising adoption of wearable technology, and the expanding popularity of personalized fitness plans. The market's Compound Annual Growth Rate (CAGR) of 5.4% from 2025 to 2033 signifies a consistent upward trajectory, indicating a substantial increase in market size over the forecast period. Key drivers include the convenience and accessibility of online fitness platforms, the integration of sophisticated data analytics for personalized workout regimes, and the growing preference for at-home fitness solutions. Furthermore, the proliferation of mobile apps offering personalized training programs and fitness tracking capabilities contributes significantly to market expansion. Competition within the market is intense, with established players like PT Distinction, Trainerize, and Virtuagym vying for market share alongside emerging companies. Future growth will likely be shaped by technological advancements, including the integration of Artificial Intelligence (AI) and Virtual Reality (VR) into fitness programs, offering more immersive and effective workout experiences. The market segmentation, while not explicitly provided, can be reasonably inferred. We can anticipate segments based on technology (wearable tech, apps, software), user demographics (age, fitness level), service type (personalized training, group classes, corporate wellness programs), and geographic location. Restrictive factors could include the high initial investment costs for some technologies, concerns about data privacy and security, and the potential for uneven adoption rates across different demographics and geographical regions. However, the overall positive growth projections suggest that these challenges will not significantly impede the market's overall expansion. The competitive landscape necessitates continuous innovation and strategic partnerships for companies to maintain their market position and capture new segments. Therefore, strategic investments in research and development and targeted marketing campaigns are crucial for long-term success within this dynamic market.

A meticulously compiled dataset providing deep insights into the global fitness industry in 2025. This dataset covers high-demand topics such as the exponential growth of fitness clubs, emerging trends in boutique fitness studios, skyrocketing online fitness training statistics, the flourishing fitness equipment market, and changing consumer behavior and expenditure patterns in the fitness sector.

During of the first quarter of 2020, health and fitness apps were downloaded 593 million times. It is projected that by the end of the second quarter of 2020, health and fitness apps will have generated 656 million downloads. In the same quarter of the previous year, health and fitness apps were only downloaded 446 million times. This increase is largely due to the global coronavirus pandemic which has caused consumers to stay at home and restructure their exercise regimen and general lifestyle practices.

Gym, health and fitness clubs stand at a dynamic crossroads, shaped by both impressive resilience and evolving consumer expectations. Despite economic headwinds—including persistent inflation, rising membership fees and supply chain disruptions—Americans’ appetite for fitness hasn’t waned. While higher prices and tariff-driven equipment costs have prompted some concerns around affordability and retention, leading operators have kept pace by doubling down on transparency, technological innovation and community-driven experiences, keeping the industry remarkably buoyant, even as members become more discerning and hybrid workout habits take root. Revenue has expanded at a CAGR of 7.1% to $45.7 billion in 2025, including an uptick of 2.0% that year. Home workouts and digital fitness surged in recent years, with brands like Peloton, Apple Fitness and countless app-based platforms filling the void. Still, the desire for social connection, accountability and access to specialized classes supported attendance at gyms and fitness centers, with group classes, boutique experiences and sports leagues (like the nation’s pickleball boom) fueling a new wave of growth. Technological integration has become standard, as fitness centers capitalized on mobile booking, wearables, hybrid class offerings and personalized digital experiences to boost retention. Gyms have also responded to sticky inflation and financial uncertainty by offering more flexible, tiered memberships and novel pay-per-visit plans, making fitness accessible across a wider range of budgets and life stages, boosting profit. Gym, health and fitness clubs will deepen their shift into a wellness-centric, tech-enabled ecosystem, with opportunities and challenges in equal measure. Demographic tailwinds will prove significant: as the population ages and healthcare costs climb, older adults will turn to gyms for exercise as well as holistic health management. Gyms, health and fitness centers are shifting toward integrated, medically informed offerings, blending classes with diagnostics, tracking devices and partnerships with healthcare providers. Affordability, digital convenience and privacy will be crucial considerations as gyms race to balance premium health solutions with accessibility. Gyms and fitness centers that innovate around flexibility and evidence-based care will sustain growth. Revenue is expected to grow at a CAGR of 1.4% to reach an estimated $49.1 billion by 2030.

Note:

Because this dataset has been used in a competition, we had to hide some of the data to prepare the test dataset for the competition. Thus, in the previous version of the dataset, only train.csv file is existed.

Content

This dataset represents 10 different physical poses that can be used to distinguish 5 exercises. The exercises are Push-up, Pull-up, Sit-up, Jumping Jack and Squat. For every exercise, 2 different classes have been used to represent the terminal positions of that exercise (e.g., “up” and “down” positions for push-ups).

Collection Process

About 500 videos of people doing the exercises have been used in order to collect this data. The videos are from Countix Dataset that contain the YouTube links of several human activity videos. Using a simple Python script, the videos of 5 different physical exercises are downloaded. From every video, at least 2 frames are manually extracted. The extracted frames represent the terminal positions of the exercise.

Processing Data

For every frame, MediaPipe framework is used for applying pose estimation, which detects the human skeleton of the person in the frame. The landmark model in MediaPipe Pose predicts the location of 33 pose landmarks (see figure below). Visit Mediapipe Pose Classification page for more details.

https://mediapipe.dev/images/mobile/pose_tracking_full_body_landmarks.png" alt="33 pose landmarks">

Snapshot img

Fitness Tracker Market Size 2024-2028

The fitness tracker market size is forecast to increase by USD 67.81 billion at a CAGR of 19.95% between 2023 and 2028. The market's growth is influenced by several key factors, including the expansion of markets in emerging countries, the increasing adoption of wearables, and a growing awareness of the benefits associated with maintaining a healthy lifestyle. These factors are driving the demand for health and wellness products, leading to a wave in the market for such goods. As more people in emerging economies embrace wearable technology and become more health-conscious, the market is expected to continue growing rapidly. Additionally, the increasing availability of these products through various channels is further fueling fitness tracker market growth, making health and wellness more accessible to a broader population.

What will be the Size of the Fitness Tracker Market During the Forecast Period?

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Fitness Tracker Market Segmentation

The market research report provides comprehensive data (region wise segment analysis), with forecasts and estimates in 'USD Billion' for the period 2024 to 2028, as well as historical data from 2018 to 2022 for the following segments.

Application Outlook 

  Running
  Cycling
  Heart rate tracking
  Stress management
  Others





Distribution Channel Outlook 

  Online
  Offline





Region Outlook 

  North America

    The U.S.
    Canada





  Europe

    U.K.
    Germany
    France
    Rest of Europe





  APAC

    China
    India





  South America

    Chile
    Brazil


  Middle East & Africa

    Saudi Arabia
    South Africa
    Rest of the Middle East & Africa

By Application

The market share growth by the running segment will be significant during the forecast period. The market experiences significant growth due to the increasing awareness of maintaining a healthy lifestyle and the rising prevalence of chronic diseases such as diabetes and cardiovascular diseases. Fitness trackers, which include fitness bands and apps, serve as essential fitness monitoring devices for individuals seeking to manage their health conditions and monitor metrics like blood glucose monitoring, body fat percentage, breathing rate, and calories burned versus consumed.

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The running segment was valued at USD 8.94 billion in 2018. These devices cater to various exercise modes, including running, cycling, and gym workouts, and are increasingly popular among both men and women, bridging the gender gap. In clinical settings and clinical frameworks, fitness trackers play a crucial role in monitoring patients with health disorders, such as anxiety and depression, and those with sedentary lifestyles due to deskbound jobs. Fitness industry leaders, including Fitbit, a subsidiary of Alphabet, develop fitness trackers tailored to specific user needs, such as women, ensuring data security and privacy. The industry continues to evolve, with fitness apps and health research driving innovation in this sector. However, concerns regarding data theft and hacking remain, necessitating strong security measures. Hence, all these factors drive the segment in the market during the forecast period.

Regional Analysis

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North America is estimated to contribute 37% to the growth of the global market during the forecast period. Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period. The North American market, specifically the US, is experiencing significant growth in the demand for wearable devices due to their ability to monitor heart rate, heart rate variability, and sleep patterns. These devices help manage conditions such as hypertension, heart disease, and non-communicable diseases, including obesity and mental health issues. Sales channels, including retailers, offer these smartwatches and fitness trackers, which also include features such as LED flashlights, oxygen level monitoring, and smartphone connectivity.

Manufacturers based in North America, are targeting various customer segments by increasing visibility and awareness through these sales channels. Wearable fitness devices also provide valuable patient data and personal usage patterns, enabling technological advancements in areas like stress management, physical activity tracking, and sleep measurement. Smart jewellery, smart glasses, and solar charging are additional features attracting young people to these wearable products. Therefore, new product launches by companies operating in the market will drive the growth of the market in this region during the forecast period.

Fitness Tra

The wearable fitness tracker market size is projected to be worth US$ 30,922.1 million in 2024. The market is likely to reach US$ 133,218.4 million by 2034. The market is further expected to surge at a CAGR of 15.7% during the forecast period 2024 to 2034.

Attributes	Key Insights
Wearable Fitness Tracker Market Estimated Size in 2024	US$ 30,922.1 million
Projected Market Value in 2034	US$ 133,218.4 million
Value-based CAGR from 2024 to 2034	15.7%

2019 to 2023 Historical Analysis vs. 2024 to 2034 Market Forecast Projections

Report Attributes	Details
Market Value in 2019	US$ 15,540.2 million
Market Value in 2023	US$ 26,787.8 million
CAGR from 2019 to 2023	14.6%

Country-wise Insights

The United States	9.2%
The United Kingdom	9.2%
India	16.7%
China	13.2%
Japan	12.8%

Category-wise Insights

Category	Shares in 2024
Wrist Wear	43.4%
Heart Rate Monitor	18.7%

Report Scope

Attribute	Details
Estimated Market Size in 2024	US$ 30,922.1 million
Projected Market Valuation in 2034	US$ 133,218.4 million
Value-based CAGR 2024 to 2034	15.7%
Forecast Period	2024 to 2034
Historical Data Available for	2019 to 2023
Market Analysis	Value in US$ million
Key Regions Covered	North America Latin America Western Europe Eastern Europe South Asia and Pacific East Asia The Middle East & Africa
Key Market Segments Covered	Product Type Application Distribution Channel Age Group Region
Key Countries Profiled	The United States Canada Brazil Mexico Germany France France Spain Italy Russia Poland Czech Republic Romania India Bangladesh Australia New Zealand China Japan South Korea GCC countries South Africa Israel
Key Companies Profiled	Apple Inc. Fitbit Inc. Samsung Electronics Sony Corporation Xiaomi Garmin Ltd. Fossil Group Jawbone TomTom International BV Huawei Technologies Co., Ltd.

This project focuses on analyzing human body movements during common exercises by capturing and processing angles of key body joints. We utilized video data to extract frame-by-frame angles of the following body parts during various exercises such as push-ups, jumping jacks, pull-ups, squats, and Russian twists. For pose estimation, MediaPipe was used to detect body landmarks, while YOLOv6 was employed for object detection to enhance accuracy.

Methodology

• Video Collection: Videos were recorded for each exercise (push-ups, jumping jacks, pull-ups, squats, Russian twists), ensuring proper form and variety in movement.
• Frame-by-Frame Analysis: Each video was processed frame by frame, and landmarks were detected using MediaPipe's Pose Estimation. We calculated the angles of key joints by using the positional data of landmarks across different frames.
• Object Detection with YOLOv6: YOLOv6 was used to identify specific objects and enhance the robustness of the pose estimation by detecting outliers or incorrect poses during exercises, thereby improving the accuracy of the analysis.

Applications This dataset can be used for multiple applications: - Form Correction: By comparing these angles with standard benchmarks, feedback can be provided to improve exercise form. - Performance Tracking: Over time, users can monitor their improvement by analyzing the changes in their joint angles during exercises. - Pose Classification: Machine learning models can be trained to classify correct vs. incorrect form, enabling the development of smart fitness assistants. - Real-time Feedback Systems: Using pose estimation in conjunction with live video, real-time systems can be developed to guide users during workouts.

Exercises Analyzed The following exercises were captured and analyzed for this dataset:

• Push-ups: Key focus on shoulder, elbow, and hip angles.
• Jumping Jacks: Full-body motion tracked via shoulder, elbow, hip, knee, and ankle angles.
• Pull-ups: Primarily focused on shoulder and elbow joint movements.
• Squats: Analyzed hip, knee, and ankle angles for depth and posture analysis.
• Russian Twists: Core movement tracked via shoulder and hip angles to assess rotational motion.

Potential Analysis - Time-Series Analysis: The data can be treated as a time-series, allowing for the identification of trends in joint movement over the duration of an exercise. - Pose Optimization: Optimization models can be used to suggest improvements in form based on angle analysis. - Machine Learning Integration: The dataset can serve as input for machine learning algorithms to automate form correction and workout optimization.

Economic Fitness (EF) is both a measure of a country’s diversification and ability to produce complex goods on a globally competitive basis. Countries with the highest levels of EF have capabilities to produce a diverse portfolio of products, ability to upgrade into ever-increasing complex goods, tend to have more predictable long-term growth, and to attain good competitive position relative to other countries. Countries with low EF levels tend to suffer from poverty, low capabilities, less predictable growth, low value-addition, and trouble upgrading and diversifying faster than other countries. The comparison of the Fitness to the GDP reveals hidden information for the development and the growth of the countries.

Virtual and Online Fitness Market Outlook

The global virtual and online fitness market size was estimated at $15.2 billion in 2023 and is projected to reach $58.7 billion by 2032, growing at a compound annual growth rate (CAGR) of 16.1% from 2024 to 2032. This remarkable growth is driven by the increasing adoption of digital health solutions, rising awareness of fitness and wellness, and advancements in technology that provide more accessible and engaging fitness experiences.

One of the primary growth factors for the virtual and online fitness market is the shift in consumer behavior towards healthier lifestyles, propelled by the COVID-19 pandemic. The pandemic forced the closure of gyms and fitness centers worldwide, leading consumers to seek alternative methods to maintain their fitness regimes. The convenience offered by virtual and online fitness platforms has made them a popular choice, resulting in a sustained increase in their adoption even as physical fitness centers begin to reopen.

Furthermore, advancements in technology play a crucial role in shaping the growth trajectory of the virtual and online fitness market. The integration of artificial intelligence (AI), augmented reality (AR), and virtual reality (VR) into fitness platforms has enhanced user engagement and personalized fitness experiences. AI algorithms can create customized workout plans and provide real-time feedback, while AR and VR offer immersive workout environments, making fitness routines more enjoyable and effective.

Another significant growth driver is the rising penetration of internet and smartphones, especially in emerging economies. With the increasing accessibility of high-speed internet and the proliferation of smart devices, more people can access online fitness content anytime and anywhere. This democratization of fitness access is expected to drive market growth, particularly in regions with expanding middle-class populations and improving digital infrastructure.

The emergence of the Vertical Intelligent Fitness Mirror is a testament to the innovative strides being made in the virtual fitness landscape. These mirrors are revolutionizing home workouts by combining cutting-edge technology with sleek design, offering a more interactive and personalized fitness experience. With the ability to stream live and on-demand classes, these mirrors provide users with real-time feedback and guidance, akin to having a personal trainer at home. The integration of AI and machine learning in these devices allows for the customization of workouts based on individual performance and goals, enhancing user engagement and motivation. As the demand for at-home fitness solutions continues to grow, the Vertical Intelligent Fitness Mirror is poised to become a staple in modern fitness regimes, offering convenience without compromising on quality.

The regional outlook for the virtual and online fitness market indicates substantial growth potential across various regions. North America currently dominates the market due to the high adoption rate of digital fitness solutions and well-established internet connectivity. However, the Asia Pacific region is expected to witness the highest growth rate during the forecast period, driven by increasing health consciousness, rapid urbanization, and the growing adoption of smartphones. Europe and Latin America are also anticipated to experience significant market growth, bolstered by rising awareness of fitness and wellness.

Service Type Analysis

Within the virtual and online fitness market, service types are segmented into live streaming and on-demand services. Live streaming services have gained immense popularity, offering real-time fitness classes that simulate the experience of attending a physical gym. These services provide a sense of community and live interaction with instructors, which helps keep users motivated and accountable. The immediacy and engagement of live sessions have contributed significantly to their adoption, particularly during the pandemic when social interactions were limited.

On the other hand, on-demand services offer the flexibility of accessing pre-recorded fitness classes at any time, catering to users with varying schedules and preferences. The on-demand model allows users to exercise at their own pace and convenience, making it an attractive option for individuals with busy lifestyles. This segment is expected to witness substantial growth due to its

In January 2025, the leading mobile fitness and workout apps recorded over 25 million downloads worldwide. The month of January regularly sees a seasonal surge in downloads of fitness and workout mobile apps. January 2021 recorded roughly 26.31 million downloads of leading fitness and workout apps, representing a 30 percent increase from the previous year. Between 2022 and 2023, the trend appears to have normalized, with downloads of the most popular mobile fitness apps experiencing a slowing growth. In recent years, fitness and workout mobile apps have become increasingly popular thanks to their convenience over gym memberships and the ability of app publishers to increase both quality and quantity of available in-app features. In 2024, apps in the eServices fitness market are forecasted to generate revenues for almost 1.8 million U.S. dollars in the United States alone.