The number of members of fitness centers and health clubs within the United States has experienced a near continual increase between 2000 and 2024. In 2024, there were found to be around ** million members of fitness centers and health clubs within the U.S., the greatest number during the period of observation.

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.

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.

The health and fitness club market in the United States was estimated to grow at an annual rate of **** percent between 2018 and 2024. This meant that the industry was predicted to be worth over *** billion U.S. dollars by 2024.

The health and fitness club market worldwide was estimated to grow at a rate of *** percent annually between 2022 and 2030. By 2030, this industry was estimated to be worth approximately *** billion U.S. dollars. How big is the global physical activity industry? The global market size of the physical activity industry was projected to grow by over *** percent annually in the coming years, with the market size forecasted to exceed *** billion U.S. dollars by 2024. In terms of regional market size, North America led by nearly ** billion dollars, followed by the Asia-Pacific region in second place. Additionally, the number of members at health and fitness clubs in North America was estimated at over ** million, followed by nearly ** million in Europe, with these numbers steadily increasing since 2009. How many people in the United States engage in a physical activity? In the past year, there were just over ******* businesses in the U.S. fitness industry, which represented an increase over the previous year. Regarding daily engagement in sports, exercise, and recreation in the United States, it was found that around ** percent of the male population and ** percent of women participated in these activities. Furthermore, when considering fitness and health-related purchases, ** percent of U.S. consumers reported not spending any money on fitness and health services in 2024. In contrast, ** percent spent money on gym memberships, while ** percent of consumers spent money on online fitness services in that same year.

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.

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.

Introduction

Fitness Industry Statistics: The fitness industry has grown significantly over the last few years due to the increasing importance of fitness, exercise, mental health, and hobbies. Most of the younger generation prefer to work out at gyms. With iconic personalities such as Arnold Schwarzenegger and Franco Colombo, people are willing to follow in their footsteps.

Since the pandemic, new trends are evolving that support online fitness training. Let’s see what these recent Fitness Industry Statistics hold in terms of recent developments all over the world.

Number of Businesses statistics on the Gym, Health & Fitness Clubs industry in the US

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.

Financial overview and grant giving statistics of Fitness on Main

Distribution of the household population by physical fitness classification, by sex and age group.

** percent of U.S. respondents answer our survey on "Fitness and health service purchases" with ****************. The survey was conducted in 2025, among 13,689 consumers. Looking to gain valuable insights about consumers of health and fitness services worldwide? Check out our reports about gym & fitness club members worldwide. These reports offer the readers a comprehensive overview of gym goers: who they are; what they like; what they think; and how to reach them.

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.

In 2023, Fitness App Market hit USD 7.21B, projected to reach USD 20.87B by 2030.

Explore the statistics for Beauty & Fitness eCommerce in 2025, including store count by region and platform, estimated sales amount by platform and region, products sold by platform and region, and total app spend by platform and region. Gain insights into regional preferences, market penetration, consumer trends, and technological investments within the Beauty & Fitness sector. Discover the leading regions and platforms, as well as the dynamics of sales and product volumes. Stay informed about the evolving landscape of Beauty & Fitness online stores for a comprehensive understanding of the market.

Financial overview and grant giving statistics of Fitness Without Borders

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The smart fitness market share is expected to increase by USD 34.06 billion from 2021 to 2026, at a CAGR of 13.33%.

This smart fitness market research report provides valuable insights on the post COVID-19 impact on the market, which will help companies evaluate their business approaches. Furthermore, this report extensively covers smart fitness market segmentation by product (gear, smart bike, ellipticals, treadmill, and others) and geography (North America, Europe, APAC, MEA, and South America). The smart fitness market report also offers information on several market vendors, including Alphabet Inc., Apple Inc., Dyaco International Inc., Fossil Group Inc., Garmin Ltd., Johnson Health Tech, Nautilus Inc., Peloton Interactive Inc., Tunturi New Fitness BV, and Zwift Inc. among others.

What will the Smart Fitness Market Size be During the Forecast Period?

Download the Free Report Sample to Unlock the Smart Fitness Market Size for the Forecast Period and Other Important Statistics

Smart Fitness Market: Key Drivers and Trends

The increasing focus on fitness and a healthy lifestyle orientation is notably driving the smart fitness market growth, although factors such as lack of data privacy and security may impede the market growth. Our research analysts have studied the historical data and deduced the key market drivers and the COVID-19 pandemic impact on the smart fitness industry. The holistic analysis of the drivers will help in deducing end goals and refining marketing strategies to gain a competitive edge.

Key Smart Fitness Market Driver

One of the key factors driving growth in the smart fitness market is the increasing focus on fitness and healthy lifestyle orientation. The rising adoption of a sedentary lifestyle is exposing people to the high risk of developing various health conditions, such as anxiety, obesity, type 2 diabetes, and osteoporosis. The hectic work schedules and increasing health issues have forced people to undertake some form of exercise daily to remain healthy and prevent various health-related issues. Thus, increasing awareness about the importance of a healthy lifestyle has led to a rise in the demand for various fitness activities, including interactive fitness. Interactive fitness activities offer several benefits, such as body coordination and the strengthening of the abdominal muscles. Promotional activities conducted by major vendors operating in the global smart fitness market to generate smart fitness products awareness have played a key role in driving the demand for interactive fitness. The wellness services industry, which also includes fitness services and a healthy lifestyle, has witnessed significant growth in the last five years. It is expected to achieve strong growth during the forecast period, owing to the increasing focus of employees on health and fitness.

Key Smart Fitness Market Challenge

The lack of data privacy and security will be a major challenge for the smart fitness market during the forecast period. Smart wearable devices can cause work interruption for users as they store a huge amount of sensitive information. Smart wearable devices also use GPS navigation systems for receiving location-based information, and at times, individuals have to share their location to get certain information. This information can also be retrieved and used by several advertisers. Security breaches can also occur because of the use of innovative technologies in these devices. The leakage of data stored in the sports wearable devices of renowned sportspersons and athletes can lead to serious security threats. The information about a subscriber's location is owned and controlled by the respective network operators of mobile carriers and mobile content providers. With network operators privy to such information, end-users are concerned about their privacy and security, in spite of the legal framework to protect it.

This smart fitness market analysis report also provides detailed information on other upcoming trends and challenges that will have a far-reaching effect on the market growth. The actionable insights on the trends and challenges will help companies evaluate and develop growth strategies for 2022-2026.

Who are the Major Smart Fitness Market Vendors?

The report analyzes the market’s competitive landscape and offers information on several market vendors, including:

Alphabet Inc.
Apple Inc.
Dyaco International Inc.
Fossil Group Inc.
Garmin Ltd.
Johnson Health Tech
Nautilus Inc.
Peloton Interactive Inc.
Tunturi New Fitness BV
Zwift Inc.

This statistical study of the smart fitness market encompasses successful business strategies deployed by the key vendors. The smart fitness market is fragmented and the vendors are deploying growth strategies such as increasing their R&D investments to compete in the market.

To make the most of the opportunities and recover from post COVID-19 impact, marke

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Connected Gym Equipment Market Size and Forecast 2025-2029

The connected gym equipment market size estimates the market to reach USD 10.16 billion, at a CAGR of 42.4% between 2024 and 2029. North America is expected to account for 39% of the growth contribution to the global market during this period. In 2019, the CTE segment was valued at USD 531.90 billion and has demonstrated steady growth since then.

The market is experiencing significant growth, driven by the increasing penetration of smartphones and the rising demand for connected gym services. Consumers are seeking convenience and personalized fitness experiences, leading to a surge in demand for technology-enabled gym equipment. However, this market faces challenges as well. Compatibility with various mobile operating systems is essential to cater to a diverse user base, making it crucial for manufacturers to ensure their equipment is adaptable. Another obstacle is the lack of awareness regarding gym-related technology and connected equipment among potential customers, necessitating marketing efforts to educate and engage consumers.
Companies in this market must navigate these challenges while capitalizing on the growing demand for connected fitness solutions to remain competitive and thrive in the evolving landscape.

What will be the Size of the Connected Gym Equipment Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
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The market continues to evolve, integrating advanced technologies to enhance user experiences and optimize fitness outcomes. Strength training metrics are no longer limited to manual tracking; IoT fitness ecosystems now enable real-time workout feedback through exercise video streaming and API integration. Home gym connectivity, workout scheduling systems, and wearable device sync facilitate convenience and consistency. Body composition analysis, data encryption protocols, fitness app integration, sleep tracking integration, and user activity dashboards offer comprehensive insights into overall health and progress. Virtual fitness classes, personalized training plans, and augmented reality training cater to diverse fitness goals. Machine learning algorithms and biometric data capture enable AI-powered fitness guidance, while cloud data storage ensures accessibility.

One notable example of market innovation is a fitness platform that experienced a 50% increase in user engagement through the integration of real-time workout feedback and customized workout routines. Industry growth is expected to reach double-digit percentages as the market unfolds, incorporating features like community fitness features, virtual reality fitness, gamified fitness programs, secure user authentication, remote fitness coaching, equipment maintenance alerts, and cardio performance analysis.

How is this Connected Gym Equipment Industry segmented?

The connected gym equipment industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Product

  CTE
  STE


End-user

  Residential
  Commercial


Distribution Channel

  Online
  Offline


Type

  Cardio
  Strength Training


Technology Specificity

  IoT
  AI
  Bluetooth


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    Italy
    Spain
    UK


  Middle East and Africa

    UAE


  APAC

    China
    India
    Japan
    South Korea


  South America

    Brazil


  Rest of World (ROW)

By Product Insights

The CTE segment is estimated to witness significant growth during the forecast period.

The market is witnessing significant growth due to the fusion of technology and fitness. Strength training metrics and cardio performance analysis enable users to track their progress and optimize workouts. Exercise video streaming and virtual fitness classes offer immersive and personalized training experiences. Home gym connectivity and workout scheduling systems ensure harmonious integration of equipment and routines. API integration, fitness app integration, and wearable device sync facilitate seamless data transfer and analysis. Body composition analysis, sleep tracking integration, and user activity dashboards provide holistic health insights. Real-time workout feedback, progress visualization tools, and personalized training plans cater to individual fitness goals.

Exercise equipment sensors, customized workout routines, and augmented reality training offer engaging and effective workouts. Digital fitness subscription models provide affordable access to a wide range of features. Community fitness features foster a supportive and motivating environment

Statistics illustrates consumption, production, prices, and trade of Gym and Fitness Equipment in France from 2007 to 2024.