100+ datasets found
  1. Data from: Gym Membership Dataset

    • kaggle.com
    zip
    Updated Oct 14, 2024
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    Tarek Adam (2024). Gym Membership Dataset [Dataset]. https://www.kaggle.com/datasets/ka66ledata/gym-membership-dataset
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    zip(24954 bytes)Available download formats
    Dataset updated
    Oct 14, 2024
    Authors
    Tarek Adam
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    This dataset provides a simulated representation of membership data for a gym, crafted specifically for those interested in honing their skills in exploratory data analysis (EDA). The data is structured to facilitate the discovery of key membership patterns and trends, making it an ideal resource for exercises in data cleaning, visualization, and pattern recognition.

  2. U.S. fitness center/health club memberships 2000-2024

    • statista.com
    Updated Nov 26, 2025
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    Statista (2025). U.S. fitness center/health club memberships 2000-2024 [Dataset]. https://www.statista.com/statistics/236123/us-fitness-center-health-club-memberships/
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    Dataset updated
    Nov 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    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.

  3. s

    Shar of gym members in the U.S. in 2024, by income

    • statista.com
    Updated Aug 15, 2025
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    Statista (2025). Shar of gym members in the U.S. in 2024, by income [Dataset]. https://www.statista.com/statistics/1244820/gym-members-income/
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    Dataset updated
    Aug 15, 2025
    Dataset authored and provided by
    Statista
    Time period covered
    2024
    Area covered
    United States
    Description

    One of the most effective ways to stay in shape is to take part in regular workouts at the gym. The share of gym members in the United States with an annual household income of 100 thousand U.S. dollars or more stood at just under 40 percent in 2024.

  4. Gym members in the U.S. in 2019, by age

    • statista.com
    + more versions
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    Statista, Gym members in the U.S. in 2019, by age [Dataset]. https://www.statista.com/statistics/1244806/gym-members-age/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2019
    Area covered
    United States
    Description

    One of the most effective ways to stay in shape is to take part in regular workouts at the gym. The number of gym members in the United States aged 65 or older stood at 7.88 million in 2019, marking a 34.16 percent increase in the number of members from 2010.

  5. Churn Prediction Gym Members Dataset

    • kaggle.com
    zip
    Updated Nov 11, 2025
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    HassaanAbid (2025). Churn Prediction Gym Members Dataset [Dataset]. https://www.kaggle.com/datasets/hassaan2580/churn-prediction-gym-members-dataset
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    zip(6315 bytes)Available download formats
    Dataset updated
    Nov 11, 2025
    Authors
    HassaanAbid
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    This dataset is an anonymized file of gym membership and activity. It contains demographic, memberships, visits and workout data. The dataset is intended for machine learning, data cleaning and exploratory data analysis (EDA) purposes.

    Features

    Each row represents one gym member, with the following columns:

    Member_ID: Unique identifier for each member

    Name: Anonymized name

    Age / Gender / Address / Phone_Number: Basic demographic info

    Membership_Type: Monthly, Quarterly, or Yearly

    Join_Date / Last_Visit_Date: Membership timeline

    Favorite_Exercise: Common exercise or gym activity

    Avg_Workout_Duration_Min: Average time spent per session

    Avg_Calories_Burned: Estimated calories burned per workout

    Total_Weight_Lifted_kg: Total weight lifted in workouts

    Visits_Per_Month: Average gym visits per month

    Churn: Indicates whether a member has stopped attending (Yes or No)

  6. 🏋🏽‍♀️ Gym Check-ins and User Metadata

    • kaggle.com
    zip
    Updated Oct 15, 2024
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    mexwell (2024). 🏋🏽‍♀️ Gym Check-ins and User Metadata [Dataset]. https://www.kaggle.com/datasets/mexwell/gym-check-ins-and-user-metadata
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    zip(5090106 bytes)Available download formats
    Dataset updated
    Oct 15, 2024
    Authors
    mexwell
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Dataset Summary: Gym Check-ins and User Metadata

    This synthetic dataset represents gym check-ins and user metadata, split across four CSV files. It simulates gym activity across 10 different locations, featuring user details, gym attributes, and check-in history. The dataset now also includes information about different subscription plans.

    Data Description

    Users Data

    This file contains detailed information about users who visit the gyms.

    • user_id: Unique identifier for each user.
    • first_name: First name of the user.
    • last_name: Last name of the user.
    • age: Age of the user.
    • gender: Gender of the user (Male, Female, Non-binary).
    • birthdate: Date of birth of the user.
    • sign_up_date: Date when the user signed up for the gym membership.
    • user_location: City where the user lives.
    • subscription_plan: The user's gym subscription plan (Basic, Pro, Student).

    Gym Locations Data

    This file describes the gyms and their locations.

    • gym_id: Unique identifier for each gym.
    • location: Real-world city where the gym is located (e.g., New York, Los Angeles).
    • gym_type: The type of gym (Premium, Standard, Budget).
    • facilities: List of facilities available at the gym (e.g., Swimming Pool, Sauna, Yoga Classes).

    Check-in/Checkout History

    This file tracks user check-ins and check-outs at the gyms.

    • user_id: ID of the user who checked in.
    • gym_id: ID of the gym where the check-in occurred.
    • checkin_time: Timestamp of when the user checked in.
    • checkout_time: Timestamp of when the user checked out.
    • workout_type: Type of workout performed during the visit (e.g., Cardio, Weightlifting, Yoga).
    • calories_burned: Estimated number of calories burned during the workout.

      Subscription Plans

      This file provides a description of the different subscription plans available to gym members.

    • subscription_plan: The name of the subscription plan (Basic, Pro, Student).

    • price_per_month: Price per month in Dollar

    • features: Which features are present in this subsription

    Acknowledgement

    Foto von Danielle Cerullo auf Unsplash

  7. c

    Gym Members Exercise Dataset

    • cubig.ai
    zip
    Updated Jun 5, 2025
    + more versions
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    CUBIG (2025). Gym Members Exercise Dataset [Dataset]. https://cubig.ai/store/products/419/gym-members-exercise-dataset
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    zipAvailable download formats
    Dataset updated
    Jun 5, 2025
    Dataset authored and provided by
    CUBIG
    License

    https://cubig.ai/store/terms-of-servicehttps://cubig.ai/store/terms-of-service

    Measurement technique
    Synthetic data generation using AI techniques for model training, Privacy-preserving data transformation via differential privacy
    Description

    1) Data Introduction • The Gym Members Exercise Dataset is a dataset built to systematically collect gym members' exercise routines, body information, exercise habits, and fitness indicators to analyze individual exercise patterns and health conditions.

    2) Data Utilization (1) Gym Members Exercise Dataset has characteristics that: • This dataset contains various body and exercise related numerical and categorical variables such as age, gender, weight, height, body fat percentage, BMI, exercise type (e.g., aerobic, muscular, yoga, HIIT), exercise frequency, session time, heart rate (maximum, average, rest), calorie consumption, water intake, and experience level. (2) Gym Members Exercise Dataset can be used to: • Exercise effect analysis and customized fitness strategy: Various variables such as exercise type, frequency, session time and heart rate, calorie burn, body fat percentage, etc. can be analyzed and used to establish customized exercise plans for each member and optimize exercise effectiveness. • Healthcare and Member Characteristics Based Marketing: Based on demographics and exercise habit data such as age, gender, and experience level, it can be used to develop healthcare programs, segment members, and establish targeted marketing strategies.

  8. Total number of members of health/fitness clubs worldwide 2009-2019

    • statista.com
    Updated Jun 24, 2025
    + more versions
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    Statista (2025). Total number of members of health/fitness clubs worldwide 2009-2019 [Dataset]. https://www.statista.com/statistics/275065/members-of-health-and-fitness-clubs-worldwide/
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    Dataset updated
    Jun 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    This graph depicts the total number of members in health and fitness clubs worldwide from 2009 to 2019. In 2019, about ****** million people were members of a health/fitness club worldwide.

  9. D

    Gym Member Retention Software Market Research Report 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Sep 30, 2025
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    Dataintelo (2025). Gym Member Retention Software Market Research Report 2033 [Dataset]. https://dataintelo.com/report/gym-member-retention-software-market
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    pdf, csv, pptxAvailable download formats
    Dataset updated
    Sep 30, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Gym Member Retention Software Market Outlook



    According to our latest research, the global gym member retention software market size reached USD 1.46 billion in 2024, driven by a robust adoption of digital solutions within the fitness industry. With a compound annual growth rate (CAGR) of 12.3% anticipated over the forecast period, the market is projected to reach USD 4.13 billion by 2033. This growth is fueled by increasing demand for personalized member experiences, data-driven engagement, and the proliferation of health-conscious lifestyles globally. The market’s expansion is further supported by technological advancements and the integration of artificial intelligence and analytics within gym management platforms.




    The growing emphasis on member engagement and retention is a primary driver for the gym member retention software market. Fitness centers, gyms, and health clubs are increasingly recognizing the need to go beyond basic membership management and focus on delivering value-added services that foster long-term loyalty. The ability of these platforms to analyze member behavior, provide personalized workout recommendations, and automate communication has significantly improved retention rates. Moreover, the integration of mobile applications and wearable devices has enabled real-time tracking of member activities, facilitating timely interventions and customized engagement strategies. As competition intensifies in the fitness industry, businesses are leveraging these software solutions to differentiate themselves and create lasting relationships with their members.




    Another significant growth factor is the rising trend of digital transformation within the fitness sector. The COVID-19 pandemic accelerated the adoption of cloud-based solutions and virtual engagement tools, leading to a paradigm shift in how gyms and health clubs interact with their members. Gym member retention software now offers features such as automated reminders, virtual class scheduling, and loyalty programs, all of which contribute to higher member satisfaction and reduced churn. The ability to seamlessly integrate with other fitness management tools, payment gateways, and customer relationship management (CRM) systems further enhances the operational efficiency of fitness centers. As digital literacy increases among both gym operators and members, the demand for sophisticated retention solutions is expected to grow exponentially.




    The market is also benefiting from the increasing focus on data-driven decision-making. Fitness organizations are harnessing the power of analytics to gain insights into member preferences, attendance patterns, and feedback. Advanced reporting tools and dashboards enable gym owners to identify at-risk members and implement targeted retention campaigns. Furthermore, the incorporation of artificial intelligence and machine learning algorithms allows for predictive analytics, helping businesses anticipate member needs and proactively address issues before they lead to cancellations. This data-centric approach not only improves member retention but also drives revenue growth by enabling more effective marketing and upselling strategies.




    From a regional perspective, North America currently dominates the gym member retention software market, accounting for a substantial share due to the high concentration of fitness clubs and advanced digital infrastructure. Europe follows closely, driven by the growing health and wellness trend and supportive government initiatives promoting physical activity. The Asia Pacific region is emerging as a lucrative market, with a rising middle class, increasing disposable incomes, and a growing awareness of health and fitness. Latin America and the Middle East & Africa are also witnessing steady growth, albeit at a slower pace, as digital adoption in the fitness sector gains momentum. These regional trends underscore the global nature of the market and highlight the diverse opportunities for software providers worldwide.



    Component Analysis



    The gym member retention software market is segmented by component into software and services, each playing a crucial role in the overall ecosystem. The software segment, which includes standalone platforms and integrated solutions, accounts for the largest share of the market. These platforms offer a comprehensive suite of tools for member management, communication, analytics, and engagement. The de

  10. Share of health club memberships in the U.S. by state 2019

    • statista.com
    Updated Jun 15, 2020
    + more versions
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    Statista (2020). Share of health club memberships in the U.S. by state 2019 [Dataset]. https://www.statista.com/statistics/1183608/health-clubs-penetration/
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    Dataset updated
    Jun 15, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2019
    Area covered
    United States
    Description

    One of the most popular ways to keep fit is to make regular visits to a health club or gym. The state of California was home to the largest amount of gyms in the United States - 5,123 in total. Just under 30 percent of residents in California had a gym membership in 2019.

  11. Gym And Health Clubs Market Analysis, Size, and Forecast 2025-2029: North...

    • technavio.com
    pdf
    Updated Jan 4, 2025
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    Technavio (2025). Gym And Health Clubs Market Analysis, Size, and Forecast 2025-2029: North America (US and Canada), APAC (China, India, Japan, South Korea), Europe (France, Germany, Italy, UK), Middle East and Africa (UAE), and South America [Dataset]. https://www.technavio.com/report/gym-and-health-clubs-market-industry-analysis
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    pdfAvailable download formats
    Dataset updated
    Jan 4, 2025
    Dataset provided by
    TechNavio
    Authors
    Technavio
    License

    https://www.technavio.com/content/privacy-noticehttps://www.technavio.com/content/privacy-notice

    Time period covered
    2025 - 2029
    Description

    Snapshot img

    Gym And Health Clubs Market Size 2025-2029

    The gym and health clubs market size is forecast to increase by USD 21.47 billion, at a CAGR of 3.9% between 2024 and 2029.

    The market is experiencing significant growth due to the increasing trend of health and wellness consciousness among demographic groups, particularly baby boomers and millennials. This demographic shift is driving the demand for comprehensive fitness and wellness services, as these generations prioritize maintaining an active lifestyle and overall health. However, this market growth also presents challenges. The dearth of a trained workforce capable of delivering high-quality services poses a significant obstacle. With the growing demand for personalized and effective fitness programs, health clubs face the challenge of recruiting and retaining a skilled workforce. This shortage of trained professionals can negatively impact the quality of services offered and potentially hinder market expansion.
    To capitalize on the market's opportunities and navigate these challenges, gym and health clubs must focus on investing in workforce development and training programs. This investment in human capital will not only help meet the growing demand for personalized services but also differentiate clubs from competitors. Additionally, strategic partnerships with educational institutions and industry organizations can provide a steady stream of qualified candidates, ensuring a skilled workforce to deliver top-notch services and drive business growth.
    

    What will be the Size of the Gym And Health Clubs 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.
    Request Free Sample

    The gym and health club market continues to evolve, with dynamic market activities unfolding across various sectors. Customer retention remains a top priority, leading to the implementation of personalized email marketing campaigns and community engagement initiatives. Wearable technology, such as smart scales and heart rate monitors, enables members to track their progress and stay motivated. Flexibility training, including the use of foam rollers and yoga mats, complements cardio equipment and strength training programs. Profit margins are maximized through space optimization and the offering of specialized fitness programs, such as rehabilitation services and senior fitness programs. Home gym equipment and virtual fitness classes cater to members' varying schedules and preferences.

    Environmental sustainability is a growing concern, with gym management prioritizing energy efficiency, waste reduction, and facility design. Staff management is crucial for providing excellent member experiences and ensuring safety regulations are met. Fitness apps, group exercise classes, and online fitness platforms offer convenience and flexibility. Liability insurance, injury prevention, and safety regulations are essential considerations for gym operators. Functional fitness and athletic training programs cater to competitive sports enthusiasts, while personal training and physical therapy services address individual needs. Fitness assessments, nutritional counseling, and class scheduling tools streamline operations and enhance the overall member experience. Marketing strategies, such as social media marketing and referral programs, help attract and retain new members.

    Operating costs are minimized through gym management software, facility maintenance, and cost-effective equipment, such as resistance bands and jump ropes. Spin classes and strength training remain popular offerings, while safety regulations and cleaning protocols ensure a clean and safe environment for all members.

    How is this Gym And Health Clubs Industry segmented?

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

    Service
    
      Membership fees
      Personal training and instruction fees
      Total admission fees
    
    
    Type
    
      Private
      Public
    
    
    Membership Type
    
      Monthly
      Annual
    
    
    End-User
    
      Individuals
      Corporates
    
    
    Geography
    
      North America
    
        US
        Canada
    
    
      Europe
    
        France
        Germany
        Italy
        UK
    
    
      Middle East and Africa
    
        UAE
    
    
      APAC
    
        China
        India
        Japan
        South Korea
    
    
      Rest of World (ROW)
    

    By Service Insights

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

    In the dynamic gym and health club market, customer retention is a top priority. Personal injury claims and insurance requirements are significant considerations, necessitating a focus on safety regulations and facility design. Cardio equipment, such as smart scales and energy-efficient

  12. Gym_Membership_Exploration_GDAC

    • kaggle.com
    zip
    Updated Feb 27, 2025
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    Jonathan Brinson (2025). Gym_Membership_Exploration_GDAC [Dataset]. https://www.kaggle.com/datasets/jonathanbrinson/gym-membership-exploration-gdac
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    zip(24954 bytes)Available download formats
    Dataset updated
    Feb 27, 2025
    Authors
    Jonathan Brinson
    Description

    First entry as an up and coming data analyst! I started in the field I am coming from with an analysis of gym member trends from a dataset provided by Tarek Adam. The data was generated using

  13. Number of gym members in Germany 2014-2023

    • statista.com
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    Statista, Number of gym members in Germany 2014-2023 [Dataset]. https://www.statista.com/statistics/1044206/number-of-fitness-club-members-germany/
    Explore at:
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Germany
    Description

    In 2023, there were approximately **** million fitness club members in Germany. This marked an increase of *********** on the gym membership figures from a year previous.

  14. Gym User Dropout Prediction Dataset

    • kaggle.com
    zip
    Updated Aug 3, 2025
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    Hassan Abdul-razeq (2025). Gym User Dropout Prediction Dataset [Dataset]. https://www.kaggle.com/datasets/hassanabdulrazeq/gym-user-dropout-prediction-dataset/data
    Explore at:
    zip(98088 bytes)Available download formats
    Dataset updated
    Aug 3, 2025
    Authors
    Hassan Abdul-razeq
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Gym User Dropout Prediction Dataset

    Description

    This synthetic dataset simulates user behavior in a fitness application, designed to predict the risk of gym membership dropout based on attendance patterns and personal attributes. The dataset contains 10,000 realistic user profiles with features that influence gym retention, making it ideal for classification tasks in behavioral analytics.

    Key Features

    • Realistic distributions matching actual gym user behavior patterns
    • Complex feature interactions that simulate real-world decision-making
    • Controlled noise to mimic natural data variability
    • Balanced classes for effective machine learning modeling

    Potential Use Cases

    • Predicting at-risk users for retention interventions
    • Analyzing factors contributing to gym commitment
    • Developing personalized workout recommendations
    • Behavioral segmentation of fitness app users

    Dataset Characteristics

    • Number of instances: 10,000
    • Number of features: 8 predictive + 1 target
    • Missing values: No
    • Synthetic but realistic: Yes

    Columns Description

    FeatureTypeDescriptionValue Range
    user_idintUnique user identifier1-10000
    ageintUser's age18-60 (peaked at 25-40)
    gendercategoricalUser's genderMale/Female
    sessions_per_weekintWeekly gym attendance0-7 sessions
    avg_session_durationfloatAverage workout length in minutes10-120
    progress_scorefloatComposite fitness progress metric0-100
    mood_aftercategoricalPost-workout emotional stateEnergized/Neutral/Fatigued
    injurycategoricalReported workout injuriesNone/Knee/Back/Shoulder
    dropoutbinaryTarget variable - quit status0 (active)/1 (quit)

    Generation Methodology

    Data was programmatically generated with: 1. Base distributions matching real gym statistics 2. Logical correlations between features (e.g., more sessions → longer durations) 3. Non-linear relationships in target variable 4. Controlled noise injection (Gaussian + categorical variability)

    Suggested Evaluation Metrics

    For classification models: - Precision-Recall curves (class imbalance consideration) - F1 score - ROC AUC - Feature importance analysis

    License

    CC0: Public Domain (Free to use for any purpose)

    Acknowledgements

    Synthetic dataset created for machine learning education and benchmarking purposes. Inspired by real fitness app analytics challenges.

    Dataset Link

    gym_user_dropout_dataset.csv

  15. F

    Fitness & Gym Management Software Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Jun 6, 2025
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    Data Insights Market (2025). Fitness & Gym Management Software Report [Dataset]. https://www.datainsightsmarket.com/reports/fitness-gym-management-software-1946571
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    pdf, ppt, docAvailable download formats
    Dataset updated
    Jun 6, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The Fitness & Gym Management Software market is experiencing robust growth, driven by increasing demand for streamlined operations, enhanced member engagement, and data-driven decision-making within the fitness industry. The market's expansion is fueled by several key trends, including the rising adoption of cloud-based solutions offering scalability and accessibility, the integration of wearable technology for personalized fitness tracking and data analysis, and the growing preference for online booking and membership management systems. Further driving growth is the increasing focus on customer relationship management (CRM) features within these software solutions, enabling gyms and fitness studios to improve retention rates and build stronger client relationships. While competition amongst established players like Mindbody, Zen Planner, and Virtuagym remains intense, the market offers significant opportunities for niche players focusing on specific fitness segments or geographic regions. The market is segmented by software features (e.g., membership management, scheduling, billing, reporting), deployment type (cloud-based, on-premise), and end-user (gyms, studios, personal trainers). Considering a reasonable CAGR (let's assume 12% based on industry averages for software as a service) and a 2025 market size of $2 billion (a plausible estimation given the significant number of established players and market participants), the market is projected to achieve substantial growth over the forecast period (2025-2033). Challenges remain, however, including the initial investment costs associated with software adoption and the need for ongoing training and support for gym staff. The market also faces constraints from smaller fitness businesses that may lack the resources to adopt sophisticated management software. However, the long-term benefits of increased efficiency, improved client engagement, and data-driven insights are expected to outweigh these initial barriers, further fueling the market's expansion in the coming years.

  16. Gyms & Fitness Centres in Germany - Market Research Report (2015-2030)

    • ibisworld.com
    Updated Jan 15, 2025
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    IBISWorld (2025). Gyms & Fitness Centres in Germany - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/germany/industry/gyms-fitness-centres/988/
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    Dataset updated
    Jan 15, 2025
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2015 - 2030
    Area covered
    Germany
    Description

    Until 2019, the fitness industry recorded strong growth. However, following the outbreak of the coronavirus, industry participants were forced to close their studios completely for a time, which led to high losses in turnover, from which the industry has since almost recovered. Between 2020 and 2025, turnover increased by an average of 3.9% per year. Following the decline in membership numbers during the peak phase of the pandemic, a new membership record was set again in 2024. Fitness is the sport segment with the highest number of members in the population. IBISWorld expects industry turnover to increase by 1.7% year-on-year to €5.2 billion in 2025.In the current year, both sport and health awareness among the German population are expected to increase, which will boost demand for fitness programmes. In addition, net monthly household income is expected to rise. Consumers with a higher net monthly household income are more likely to take advantage of paid sports programmes such as gym memberships. Nevertheless, industry players have to compete with sports clubs, outdoor sports and, increasingly, digital training platforms, especially in the summer months. To reduce competition from home training with the help of digital offerings, gyms are increasingly trying to integrate digital offerings into their services.In the next five years, IBISWorld forecasts that industry turnover will increase again. Average annual growth of 2% is expected, meaning that turnover should reach 5.8 billion euros by 2030. This development will be driven primarily by the change in the age structure in Germany. As a growth market, health-oriented services for consumers over the age of 50 offer new opportunities for industry players. There are also more opportunities to integrate digital performance monitoring into gym visits and to attract and retain young members through new, virtual training concepts. High-priced micro studios with personalised training support are also likely to gain further popularity and contribute to sales growth.

  17. Number of gym members in the U.S. 2024, by type

    • statista.com
    Updated Nov 26, 2025
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    Statista (2025). Number of gym members in the U.S. 2024, by type [Dataset]. https://www.statista.com/statistics/1244761/us-fitness-members-type/
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    Dataset updated
    Nov 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    United States
    Description

    Health and fitness clubs offer a variety of ways to keep fit, from indoor cycling classes to personal training. In 2024, over ********** people were members of fitness only establishments, while just over ********* people were members of business or corporate fitness facilities.

  18. Gym Management Software Market Analysis, Size, and Forecast 2025-2029: North...

    • technavio.com
    pdf
    Updated Dec 17, 2024
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    Technavio (2024). Gym Management Software Market Analysis, Size, and Forecast 2025-2029: North America (US and Canada), Europe (France, Germany, Spain, and UK), APAC (China, India, and Japan), and South America (Brazil) [Dataset]. https://www.technavio.com/report/gym-management-software-market-industry-analysis
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    pdfAvailable download formats
    Dataset updated
    Dec 17, 2024
    Dataset provided by
    TechNavio
    Authors
    Technavio
    License

    https://www.technavio.com/content/privacy-noticehttps://www.technavio.com/content/privacy-notice

    Time period covered
    2025 - 2029
    Area covered
    Canada, United States
    Description

    Snapshot img

    Gym Management Software Market Size 2025-2029

    The gym management software market size is forecast to increase by USD 201.5 million, at a CAGR of 12.5% between 2024 and 2029.

    The market is experiencing significant growth, driven by the increasing number of fitness centers and health clubs worldwide. This expansion is fueled by the rising demand for efficient and streamlined gym operations, as well as the growing trend towards digitalization in the fitness industry. However, this market also faces challenges, with data privacy emerging as a major concern. With the increasing use of technology in gym management, ensuring the security and protection of members' personal information is crucial. Navigating this data privacy landscape requires a robust and transparent approach from gym management software providers.
    As the market continues to evolve, companies must prioritize data security while also offering innovative features to differentiate themselves and meet the evolving needs of fitness businesses.
    

    What will be the Size of the Gym Management Software 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.
    Request Free Sample

    The market continues to evolve, with dynamic market activities unfolding across various sectors. Seamlessly integrated solutions enable attendance tracking, appointment booking, studio management, progress monitoring, gym analytics, global deployment, class scheduling, personal training management, user experience (UX), subscription management, data encryption, social media integration, pricing models, inventory management, and more. Scheduling optimization and multi-location support are crucial features for gym operators managing multiple facilities. Group class management, data visualization, and training and onboarding ensure effective workouts and member engagement. Support services, wearable device integration, and biometric integration offer enhanced functionality and convenience. Maintenance and support, fitness assessments, security features, API integrations, payment processing, data backup, and membership tracking are essential components for gym management software.

    HIPAA compliance, user interface (UI), payroll integration, cross-platform compatibility, performance benchmarking, and cloud-based solutions cater to the evolving needs of the industry. Real-time data, reporting and analytics, member management, access control, nutrition tracking, software updates, and marketing automation are features that help gym operators make data-driven decisions and improve overall performance. Compliance with data privacy regulations such as GDPR and HIPAA, staff management, lead generation, equipment tracking, resource allocation, and customer feedback are essential for maintaining a successful gym business.

    How is this Gym Management Software Industry segmented?

    The gym management software 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.

    Application
    
      Gyms and health clubs
      Sports clubs
    
    
    Deployment
    
      Cloud-based
      On-premises
    
    
    Functionality
    
      Membership Management
      Scheduling and Booking
      Billing and Payments
    
    
    Geography
    
      North America
    
        US
        Canada
    
    
      Europe
    
        France
        Germany
        Spain
        UK
    
    
      APAC
    
        China
        India
        Japan
    
    
      South America
    
        Brazil
    
    
      Rest of World (ROW)
    

    By Application Insights

    The gyms and health clubs segment is estimated to witness significant growth during the forecast period.

    In the dynamic fitness industry, gym management software has emerged as a crucial tool for gyms and health clubs to streamline their operations and enhance member experiences. This software facilitates scheduling optimization, ensuring efficient use of resources and reducing wait times. Multi-location support caters to gym chains, enabling seamless management across multiple facilities. Group class management simplifies the process of organizing and tracking classes, while data visualization offers valuable insights into gym analytics. Training and onboarding tools help new members get acclimated, and support services ensure that any issues are promptly addressed. Integration with wearable devices and biometric systems allows for advanced fitness assessments and personalized workouts.

    Maintenance and support features keep equipment in optimal condition, and security measures protect sensitive member data. API integrations enable seamless data exchange with third-party applications, while payment processing and data backup ensure smooth financial transactions and data security. Attendance tracking, appointment booking, and studio management tools provide a more org

  19. H

    Health Club Management Software Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated May 26, 2025
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    Data Insights Market (2025). Health Club Management Software Report [Dataset]. https://www.datainsightsmarket.com/reports/health-club-management-software-1397116
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    doc, ppt, pdfAvailable download formats
    Dataset updated
    May 26, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The health club management software market is experiencing robust growth, driven by the increasing adoption of technology in the fitness industry. The market's expansion is fueled by several key factors: the need for streamlined operations, enhanced member engagement, improved data analytics for better business decisions, and the rising demand for convenient, integrated solutions that manage scheduling, memberships, payments, and communication all in one platform. This trend is evident across various segments, including gyms, studios, and fitness centers of all sizes. While the exact market size is not provided, based on industry trends and the presence of numerous established and emerging players like MindBody, Tigernix, and Perfect Gym Solutions, we can reasonably estimate the 2025 market size to be around $2 billion, with a Compound Annual Growth Rate (CAGR) of approximately 15% for the forecast period (2025-2033). This growth is projected to continue as more fitness businesses seek to leverage technology for operational efficiency and competitive advantage. The market, however, faces some restraints. These include the high initial investment costs for software implementation, the need for ongoing technical support, and the potential for integration challenges with existing systems. Nevertheless, the overall market outlook remains positive, driven by the increasing technological sophistication of fitness businesses and the ongoing demand for efficient management tools. The competitive landscape is highly fragmented, with a range of established players and innovative startups competing for market share. Key players are constantly innovating to provide advanced features such as integrated payment processing, mobile apps for member engagement, and sophisticated reporting tools for data-driven decision-making. The market shows regional variations, with North America and Europe currently holding significant shares, but growth opportunities exist in emerging markets in Asia and Latin America as these regions witness a rising demand for fitness services and technology adoption. Future market growth will likely be influenced by the integration of artificial intelligence and wearable technology into health club management systems, creating personalized member experiences and enhancing data analytics capabilities. The development of cloud-based solutions, offering scalability and accessibility, will also contribute to market expansion.

  20. F

    Fitness Club & Gym Management Software Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated May 15, 2025
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    Archive Market Research (2025). Fitness Club & Gym Management Software Report [Dataset]. https://www.archivemarketresearch.com/reports/fitness-club-gym-management-software-557277
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    ppt, pdf, docAvailable download formats
    Dataset updated
    May 15, 2025
    Dataset authored and provided by
    Archive Market Research
    License

    https://www.archivemarketresearch.com/privacy-policyhttps://www.archivemarketresearch.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global Fitness Club & Gym Management Software market is experiencing robust growth, driven by the increasing adoption of technology in the fitness industry and the rising demand for efficient operational management. The market, estimated at $2.5 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 12% from 2025 to 2033. This growth is fueled by several key factors, including the need for streamlined member management, improved class scheduling and booking systems, enhanced data analytics for business insights, and the rising popularity of cloud-based solutions offering scalability and accessibility. Furthermore, the increasing focus on personalized fitness experiences and the integration of wearables and health tracking data into these software platforms are contributing to market expansion. The market segmentation reveals a significant preference for cloud-based solutions over on-premises systems, reflecting the industry's shift towards flexible and cost-effective technology. Small and medium-sized businesses constitute a large portion of the market, although large enterprises are also increasingly adopting these solutions to manage their extensive operations. The competitive landscape is characterized by a blend of established players and emerging startups, each striving to offer innovative features and comprehensive solutions to cater to the evolving needs of fitness businesses. Geographic expansion is another prominent factor contributing to market growth. North America currently holds the largest market share, followed by Europe and Asia Pacific. However, emerging economies in Asia Pacific and other regions present significant growth opportunities. The market is expected to witness increasing consolidation through mergers and acquisitions, driving innovation and enhancing the offerings of key players. Challenges, such as data security concerns and the need for ongoing software maintenance, need to be addressed to ensure sustained growth. Despite these challenges, the long-term outlook for the Fitness Club & Gym Management Software market remains highly positive, fueled by continuous technological advancements and the increasing demand for sophisticated management tools within the fitness industry.

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Tarek Adam (2024). Gym Membership Dataset [Dataset]. https://www.kaggle.com/datasets/ka66ledata/gym-membership-dataset
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Data from: Gym Membership Dataset

Exploring Membership Trends: A Synthetic Dataset for EDA and Machine Learning

Related Article
Explore at:
zip(24954 bytes)Available download formats
Dataset updated
Oct 14, 2024
Authors
Tarek Adam
License

https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

Description

This dataset provides a simulated representation of membership data for a gym, crafted specifically for those interested in honing their skills in exploratory data analysis (EDA). The data is structured to facilitate the discovery of key membership patterns and trends, making it an ideal resource for exercises in data cleaning, visualization, and pattern recognition.

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