99 datasets found
  1. f

    The Health Gym v2.0 Synthetic Antiretroviral Therapy (ART) for HIV Dataset

    • figshare.com
    txt
    Updated May 31, 2023
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    Nicholas Kuo (2023). The Health Gym v2.0 Synthetic Antiretroviral Therapy (ART) for HIV Dataset [Dataset]. http://doi.org/10.6084/m9.figshare.22827878.v1
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    txtAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    figshare
    Authors
    Nicholas Kuo
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    ===###

    This synthetic dataset, centred on ART for HIV, was synthesised employing the model outlined in reference [1], incorporating the techniques of WGAN-GP+G_EOT+VAE+Buffer.

    This dataset serves as a principal resource for the Centre for Big Data Research in Health (CBDRH) Datathon (see: CBDRH Health Data Science Datathon 2023 (cbdrh-hds-datathon-2023.github.io)). Its primary purpose is to advance the Health Data Analytics (HDAT) courses at the University of New South Wales (UNSW), providing students with exposure to synthetic yet realistic datasets that simulate real-world data.

    The dataset is composed of 534,960 records, distributed over 15 distinct columns, and is preserved in a CSV format with a size of 39.1 MB. It contains information about 8,916 synthetic patients over a period of 60 months, with data summarised on a monthly basis. The total number of records corresponds to the product of the synthetic patient count and the record duration in months, thus equating to 8,916 multiplied by 60.

    The dataset's structure encompasses 15 columns, which include 13 variables pertinent to ART for HIV as delineated in reference [1], a unique patient identifier, and a further variable signifying the specific time point.

    ===

    This dataset forms part of a continuous series of work, building upon reference [2]. For further details, kindly refer to our papers: [1] Kuo, Nicholas I., Louisa Jorm, and Sebastiano Barbieri. "Generating Synthetic Clinical Data that Capture Class Imbalanced Distributions with Generative Adversarial Networks: Example using Antiretroviral Therapy for HIV." arXiv preprint arXiv:2208.08655 (2022). [2] Kuo, Nicholas I-Hsien, et al. "The Health Gym: synthetic health-related datasets for the development of reinforcement learning algorithms." Scientific Data 9.1 (2022): 693.

    ===

    Latest edit: 16th May 2023.

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

    • statista.com
    Updated May 23, 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
    May 23, 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. Gym And Health Clubs Market Analysis, Size, and Forecast 2025-2029: North...

    • technavio.com
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    Technavio, 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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    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    Global
    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-eff

  4. H

    Health & Fitness Software Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Jul 8, 2025
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    Data Insights Market (2025). Health & Fitness Software Report [Dataset]. https://www.datainsightsmarket.com/reports/health-fitness-software-534452
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    ppt, pdf, docAvailable download formats
    Dataset updated
    Jul 8, 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 and fitness software market is experiencing robust growth, driven by increasing health consciousness, the expanding adoption of digital technologies in fitness centers and studios, and the rising demand for personalized workout experiences. The market, estimated at $5 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, reaching approximately $15 billion by the end of the forecast period. Key drivers include the need for efficient scheduling and management systems, the desire for enhanced client engagement through personalized workout plans and progress tracking, and the growing adoption of mobile fitness apps. Trends include the integration of wearable technology data into software platforms, the increasing use of artificial intelligence (AI) for personalized recommendations and training programs, and the expansion of cloud-based solutions for accessibility and scalability. Restraints to market growth include the initial investment costs associated with implementing new software, the need for ongoing technical support and maintenance, and the potential security risks associated with storing sensitive client data. Segmentation is likely prevalent across software types (studio management, fitness tracking, online coaching), user types (gyms, individual trainers, studios, consumers), and geographic regions, with North America and Europe currently dominating the market. The competitive landscape is marked by both established players like MindBody and Acuity Scheduling, alongside emerging companies focusing on niche solutions. The success of companies in this market will depend on their ability to adapt to evolving technological advancements, provide seamless user experiences, and address the specific needs of their target segments. Future growth will likely be propelled by further integration of health data analytics, the development of innovative mobile-first solutions, and the expanding adoption of subscription-based models. The increasing prevalence of remote fitness options post-pandemic will continue to fuel demand for software solutions that facilitate seamless online coaching, virtual classes, and remote client management. Key players must prioritize cybersecurity and data privacy to maintain consumer trust and build sustainable market positions. Strategic partnerships and acquisitions will also play a vital role in shaping the competitive dynamics within this dynamic market.

  5. d

    Health Club Filings

    • catalog.data.gov
    • data.ny.gov
    Updated Jul 12, 2025
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    data.ny.gov (2025). Health Club Filings [Dataset]. https://catalog.data.gov/dataset/health-club-filings
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    Dataset updated
    Jul 12, 2025
    Dataset provided by
    data.ny.gov
    Description

    Each row describes a Health Club that has submitted proof of financial security in accordance with Article 30 of General Business Law.

  6. 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
    Explore at:
    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.

  7. Benefits of visiting a gym according to consumers in the U.S. 2020

    • statista.com
    Updated Jun 24, 2025
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    Statista (2025). Benefits of visiting a gym according to consumers in the U.S. 2020 [Dataset]. https://www.statista.com/statistics/1328241/benefits-visiting-gym-usa/
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    Dataset updated
    Jun 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Aug 24, 2020 - Aug 28, 2020
    Area covered
    United States
    Description

    In an August 2020 survey investigating the perceived physical and mental benefits of visiting a gym, it was revealed that ** percent of fitness club users in the United States considered the improvements to their mental health one of the key benefits of visiting a gym.

  8. Gym, Health & Fitness Clubs in the US

    • ibisworld.com
    Updated Feb 1, 2002
    + more versions
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    IBISWorld (2002). Gym, Health & Fitness Clubs in the US [Dataset]. https://www.ibisworld.com/industry-statistics/number-of-businesses/gym-health-fitness-clubs-united-states/
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    Dataset updated
    Feb 1, 2002
    Dataset authored and provided by
    IBISWorld
    License

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

    Time period covered
    2005 - 2031
    Description

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

  9. Synthetic Gym Members Exercise Records Dataset

    • opendatabay.com
    .undefined
    Updated Jun 17, 2025
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    Opendatabay Labs (2025). Synthetic Gym Members Exercise Records Dataset [Dataset]. https://www.opendatabay.com/data/synthetic/b4edb3d3-3b74-4695-bd99-64e0e4751b52
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    .undefinedAvailable download formats
    Dataset updated
    Jun 17, 2025
    Dataset provided by
    Buy & Sell Data | Opendatabay - AI & Synthetic Data Marketplace
    Authors
    Opendatabay Labs
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Sports & Recreation
    Description

    This Synthetic Gym Members Exercise Dataset is created for educational and research purposes in fitness, public health, and data science. It provides detailed demographic, physiological, and workout-related information about gym members, enabling analysis of exercise patterns, health metrics, and fitness progress. The dataset can be utilized for building predictive models and exploring personalized workout and fitness management strategies.

    Dataset Features

    • Age: Age of the gym member in years.
    • Gender: Biological sex of the gym member (Male/Female).
    • Weight (kg): Weight of the individual in kilograms.
    • Height (m): Height of the individual in meters.
    • Max_BPM: Maximum heartbeats per minute during exercise.
    • Avg_BPM: Average heartbeats per minute during exercise.
    • Resting_BPM: Resting heartbeats per minute.
    • Session_Duration (hours): Duration of the exercise session in hours.
    • Calories_Burned: Total calories burned during the workout session.
    • Workout_Type: Type of workout performed (e.g., HIIT, Yoga, Cardio).
    • Fat_Percentage: Body fat percentage of the individual.
    • Water_Intake (liters): Water intake during the workout session in liters.
    • Workout_Frequency (days/week): Number of workout days per week.
    • Experience_Level: Experience level of the gym member (1 = Beginner, 2 = Intermediate, 3 = Advanced).
    • BMI: Body Mass Index, calculated as weight (kg) / (height (m))².

    Distribution

    https://storage.googleapis.com/opendatabay_public/b4edb3d3-3b74-4695-bd99-64e0e4751b52/4caa9c282175_gym1.png" alt="Synthetic Gym Members Exercise Data Distribution">

    Usage

    This dataset is suited for the following applications:

    • Health and Fitness Insights: Analyze relationships between BMI, workout types, and health metrics like fat percentage or heart rate.
    • Personalized Exercise Plans: Develop algorithms to recommend tailored workout routines based on individual fitness levels and goals.
    • Calorie Burn Prediction: Build predictive models to estimate calories burned during workout sessions based on key features.
    • Public Health Research: Study exercise trends and their impact on health outcomes.
    • Fitness Tracking: Use data to monitor individual or group fitness progress over time. ### Coverage This synthetic dataset is anonymized and adheres to data privacy standards. It is designed for research and learning purposes, with diverse cases representing various fitness levels, workout types, and health metrics.

    License

    CC0 (Public Domain)

    Who Can Use It

    • Data Science Practitioners: For practicing data preprocessing, regression, and classification tasks related to fitness and health.
    • Fitness Professionals and Researchers: To explore trends and patterns in gym members' workout habits and health outcomes.
    • Public Health Analysts: To design effective strategies promoting physical activity and healthy lifestyles.
    • Policy Makers and Regulators: For data-driven decision-making to promote fitness and public health initiatives.
  10. Gym, Health & Fitness Clubs in the US - Market Research Report (2015-2030)

    • ibisworld.com
    Updated May 15, 2025
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    IBISWorld (2025). Gym, Health & Fitness Clubs in the US - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/united-states/market-research-reports/gym-health-fitness-clubs-industry/
    Explore at:
    Dataset updated
    May 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
    United States
    Description

    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.

  11. d

    Gyms@SG (GEOJSON)

    • data.gov.sg
    Updated Jun 6, 2024
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    Health Promotion Board (2024). Gyms@SG (GEOJSON) [Dataset]. https://data.gov.sg/datasets/d_b3ae090692ecf632116c9885cfbd3424/view
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    Dataset updated
    Jun 6, 2024
    Dataset authored and provided by
    Health Promotion Board
    License

    https://data.gov.sg/open-data-licencehttps://data.gov.sg/open-data-licence

    Description

    Dataset from Health Promotion Board. For more information, visit https://data.gov.sg/datasets/d_b3ae090692ecf632116c9885cfbd3424/view

  12. Global Gym and Health Clubs Market Industry Best Practices 2025-2032

    • statsndata.org
    excel, pdf
    Updated Jun 2025
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    Stats N Data (2025). Global Gym and Health Clubs Market Industry Best Practices 2025-2032 [Dataset]. https://www.statsndata.org/report/gym-and-health-clubs-market-8287
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    excel, pdfAvailable download formats
    Dataset updated
    Jun 2025
    Dataset authored and provided by
    Stats N Data
    License

    https://www.statsndata.org/how-to-orderhttps://www.statsndata.org/how-to-order

    Area covered
    Global
    Description

    The Gym and Health Clubs market has witnessed remarkable growth over the past decade, becoming an essential component of the health and wellness sector. As individuals increasingly prioritize physical well-being, the demand for facilities that offer fitness solutions, from traditional gyms to innovative health clubs

  13. The Heath Gym Synthetic HIV Dataset

    • figshare.com
    txt
    Updated Jul 13, 2023
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    Nicholas Kuo (2023). The Heath Gym Synthetic HIV Dataset [Dataset]. http://doi.org/10.6084/m9.figshare.19544410.v2
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    txtAvailable download formats
    Dataset updated
    Jul 13, 2023
    Dataset provided by
    Figsharehttp://figshare.com/
    figshare
    Authors
    Nicholas Kuo
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    ===

    IMPORTANT NOTE: Dear viewers, please consider Version 2.0 of our synthetic ART for HIV dataset. Kuo, Nicholas (2023). The Health Gym v2.0 Synthetic Antiretroviral Therapy (ART) for HIV Dataset. figshare. Dataset. https://doi.org/10.6084/m9.figshare.22827878.v1 The latest version is much more realistic than this current version. Interested viewers may also refer to our preprint for further details. Kuo, Nicholas I., Louisa Jorm, and Sebastiano Barbieri. "Generating Synthetic Clinical Data that Capture Class Imbalanced Distributions with Generative Adversarial Networks: Example using Antiretroviral Therapy for HIV." arXiv preprint arXiv:2208.08655 (2022).

    ===

    This dataset was generated using the Health Gym generative adversarial network (GAN). The dataset contains viral loads, CD4 counts, and drug regimen information for 8,916 patients with HIV. The dataset is stored in CSV format. Please consult our archived paper for more details: Kuo et al. (2022). The Health Gym: Synthetic Health-Related Datasets for the Development of Reinforcement Learning Algorithms. arXiv preprint arXiv:2203.06369.

    ===

    1) Refer to page 3 for the full description of the dataset. 2) Refer to page 13 for the descriptive statistics. 3) Refer to pages 25-28 for the quality assessment. 4) Refer to page 9 for the patient re-identification risk. 5) Refer to pages 4, 5, and 14 on our novel generative adversarial network for generting this synthetic dataset. 6) Also refer to our website: www.healthgym.ai for an overview of the project.

    ===

    Edited: 12th-July-2023 Date of 2-edits ago: 8th-April-2022

  14. c

    Gym Members Exercise Dataset

    • cubig.ai
    Updated Jun 5, 2025
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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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    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.

  15. f

    Data from: Promotion of physical activity, healthy eating and family health...

    • scielo.figshare.com
    jpeg
    Updated Jun 5, 2023
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    Alex Antonio FLORINDO; Priscila Missaki NAKAMURA; José Cazuza de FARIAS JÚNIOR; Fernando Vinholes SIQUEIRA; Rodrigo Siqueira REIS; Danielle Keylla Alencar CRUZ; Pedro Curi HALLAL (2023). Promotion of physical activity, healthy eating and family health in municipalities with health gym [Dataset]. http://doi.org/10.6084/m9.figshare.14287970.v1
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    jpegAvailable download formats
    Dataset updated
    Jun 5, 2023
    Dataset provided by
    SciELO journals
    Authors
    Alex Antonio FLORINDO; Priscila Missaki NAKAMURA; José Cazuza de FARIAS JÚNIOR; Fernando Vinholes SIQUEIRA; Rodrigo Siqueira REIS; Danielle Keylla Alencar CRUZ; Pedro Curi HALLAL
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Abstract The present study aimed at: 1) describing the prevalence of actions to promote physical activity and healthy eating and describing the characteristics of family health strategies in Brazilian municipalities funded to implement the “Health Gym Program”; and 2) verifying the prevalence of these actions according to the presence of Family Health Support Centers (FHSC) and the presence of physical education professionals and nutritionists in the health family teams. We conducted telephone interviews with public health managers in 2012 in all cities funded to implement the “Health Gym Program”. We described the frequencies (%) of the family health teams’ characteristics and of the physical activity and healthy eating actions, and we calculated the prevalence in municipalities with and without FHSC, and in municipalities with and without physical education professionals and nutritionists in the teams. We used the chi-square test to evaluate the associations. Out of a total of 5,570 municipalities in Brazil in 2012, 2,074 (37.2%) were funded to implement the program, and amongst them, 44.1% (n = 914 public health managers) participated in the survey. Most of the municipalities did not have FHSC teams (61.5%), though reported developing physical activity (84.1%) or healthy eating actions (83.9%). The education sector was referred to as a public partner in most actions. The prevalence of physical activity (91.5%, p < 0.001) and healthy eating (88.2%, p = 0.006) actions was higher in cities with FHSC than in their counterparts. The prevalence of primary care actions was higher in municipalities that had physical education professionals and nutritionists in teams. Having FHSC with physical education professionals and nutritionists is an important factor for promoting physical activity and healthy eating.

  16. H

    Health Club Management Software Report

    • marketresearchforecast.com
    doc, pdf, ppt
    Updated Mar 20, 2025
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    Market Research Forecast (2025). Health Club Management Software Report [Dataset]. https://www.marketresearchforecast.com/reports/health-club-management-software-42362
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    ppt, doc, pdfAvailable download formats
    Dataset updated
    Mar 20, 2025
    Dataset authored and provided by
    Market Research Forecast
    License

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

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

    The global health club management software market is experiencing robust growth, driven by increasing adoption of cloud-based solutions and a rising demand for efficient operational management among fitness centers of all sizes. The market's expansion is fueled by several key factors: the need for streamlined member management, improved class scheduling and booking systems, enhanced data analytics for personalized marketing, and a focus on increasing customer retention and loyalty. The shift towards digitalization within the fitness industry, coupled with the convenience and scalability offered by cloud-based software, is significantly boosting market penetration. Small and medium-sized businesses (SMBs) represent a significant portion of the market, as they seek cost-effective solutions to manage operations and compete effectively with larger fitness chains. However, challenges remain, including the need for robust data security measures, seamless integration with existing systems, and the ongoing need for ongoing software updates and training for staff. The market is segmented by deployment model (cloud-based and on-premises) and business size (small, medium, and large enterprises). Competition is fierce, with a range of established players and emerging startups vying for market share. Future growth will likely be driven by the integration of artificial intelligence and wearable technology, further enhancing the personalization and effectiveness of fitness management. The market is projected to maintain a healthy Compound Annual Growth Rate (CAGR) throughout the forecast period (2025-2033). North America currently holds a substantial market share due to high technology adoption and a well-established fitness industry. However, regions like Asia-Pacific are showing strong growth potential, driven by increasing health consciousness and rising disposable incomes. The competitive landscape is dynamic, with established players focusing on product innovation, strategic partnerships, and mergers and acquisitions to maintain their market positions. New entrants are focusing on niche market segments and offering specialized solutions to cater to specific needs within the health and fitness industry. This necessitates continuous adaptation and innovation to remain competitive in this rapidly evolving sector. The increasing emphasis on data privacy and regulatory compliance will also shape the market's trajectory in the coming years.

  17. G

    Gyms, Health and Fitness Clubs Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Jun 11, 2025
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    Data Insights Market (2025). Gyms, Health and Fitness Clubs Report [Dataset]. https://www.datainsightsmarket.com/reports/gyms-health-and-fitness-clubs-1407579
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    pdf, ppt, docAvailable download formats
    Dataset updated
    Jun 11, 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 global gyms and health clubs market is experiencing robust growth, driven by increasing health consciousness, rising disposable incomes, and a growing awareness of the importance of preventative healthcare. The market, currently valued at approximately $100 billion (a reasonable estimate based on the typical size of such markets and the mention of million-dollar value units), is projected to maintain a healthy Compound Annual Growth Rate (CAGR) of 5-7% over the forecast period (2025-2033). This growth is fueled by several key trends: the rise of boutique fitness studios offering specialized classes, the integration of technology into fitness experiences (e.g., fitness tracking apps, virtual workouts), and a greater focus on personalized fitness plans. Major players like LA Fitness, Planet Fitness, and Gold's Gym are continually expanding their presence, while smaller, specialized studios are gaining traction through innovative offerings and targeted marketing. However, the market faces certain challenges. Increasing operating costs, competition from home fitness solutions (e.g., at-home workout equipment and streaming services), and the fluctuating economic conditions can impact growth. Segmentation within the market is crucial, with distinct categories such as budget gyms, premium fitness centers, and specialized studios catering to diverse consumer needs and price points. Regional variations are also significant, with mature markets in North America and Europe showing steady growth, while emerging markets in Asia and Latin America present significant untapped potential. Successful players in this dynamic landscape will need to adapt to changing consumer preferences, embrace technological advancements, and develop effective strategies for attracting and retaining members in a competitive environment. The focus on community building and holistic wellness, beyond just physical fitness, will play a significant role in shaping future market success.

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

    • statista.com
    Updated Dec 10, 2024
    + more versions
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    Statista (2024). 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
    Dec 10, 2024
    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.

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

    • technavio.com
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    Technavio, 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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    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    Global, 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 SampleThe 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. ApplicationGyms and health clubsSports clubsDeploymentCloud-basedOn-premisesFunctionalityMembership ManagementScheduling and BookingBilling and PaymentsGeographyNorth AmericaUSCanadaEuropeFranceGermanySpainUKAPACChinaIndiaJapanSouth AmericaBrazilRest 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 organized and efficient gym environment. Progress monitoring and gym analytics offer valuable insights into member performance and business tr

  20. Connected Gym Equipment Market Research Report 2033

    • growthmarketreports.com
    csv, pdf, pptx
    Updated Jul 5, 2025
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    Growth Market Reports (2025). Connected Gym Equipment Market Research Report 2033 [Dataset]. https://growthmarketreports.com/report/connected-gym-equipment-market
    Explore at:
    csv, pptx, pdfAvailable download formats
    Dataset updated
    Jul 5, 2025
    Dataset authored and provided by
    Growth Market Reports
    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Connected Gym Equipment Market Outlook




    According to our latest research, the global connected gym equipment market size reached USD 2.4 billion in 2024, with a robust compound annual growth rate (CAGR) of 21.6% projected through the forecast period. The market is expected to grow significantly, reaching USD 17.1 billion by 2033, driven by the increasing adoption of smart fitness devices, growing awareness of health and wellness, and the integration of advanced technologies such as artificial intelligence and the Internet of Things (IoT) into gym equipment. The proliferation of digital fitness platforms and the rise of personalized workout experiences are also acting as key growth accelerators for the connected gym equipment market.




    One of the primary growth factors for the connected gym equipment market is the surge in consumer demand for personalized fitness experiences. With the advent of wearable technology and fitness apps, users now expect gym equipment to offer real-time data tracking, performance analytics, and seamless integration with their personal devices. The growth of digital health ecosystems has compelled manufacturers to innovate and introduce equipment capable of tracking metrics such as heart rate, calories burned, and workout intensity, while offering interactive features like live coaching and virtual classes. This convergence of fitness and technology has not only enhanced user engagement but has also increased retention rates for fitness centers and gym memberships globally.




    A second significant driver is the rapid digital transformation witnessed within the commercial fitness sector. Health clubs, gyms, hotels, and corporate offices are increasingly investing in connected gym equipment to cater to the evolving preferences of tech-savvy clientele. These institutions recognize the value proposition of offering advanced, connected equipment that supports remote monitoring, maintenance alerts, and personalized training programs. Additionally, the COVID-19 pandemic accelerated the shift towards home-based fitness solutions, prompting manufacturers to design compact, user-friendly, and highly connected equipment for residential use. This shift has expanded the market's addressable base, as more individuals seek to replicate the gym experience at home with the aid of smart, interactive devices.




    Furthermore, the integration of IoT and artificial intelligence has revolutionized the connected gym equipment market by enabling predictive maintenance, adaptive resistance, and customized workout regimens based on user data. The use of cloud-based platforms for storing and analyzing fitness data has allowed for continuous improvement in user experience, as well as the development of community-driven features such as leaderboards and social sharing. These technological advancements have not only enhanced the functionality of gym equipment but have also opened new revenue streams for manufacturers through subscription-based digital services and content partnerships. As a result, the market is witnessing a dynamic interplay between hardware innovation and software development, further propelling its growth trajectory.




    From a regional perspective, North America remains the dominant market for connected gym equipment, owing to its high penetration of digital fitness solutions, mature gym infrastructure, and strong presence of leading manufacturers. Europe follows closely, benefiting from rising health consciousness and government initiatives promoting physical activity. The Asia Pacific region, on the other hand, is emerging as the fastest-growing market, driven by rapid urbanization, increasing disposable incomes, and a burgeoning middle-class population eager to adopt smart fitness technologies. Latin America and the Middle East & Africa are also witnessing steady growth, albeit at a slower pace, as awareness around connected fitness continues to spread and infrastructure investments increase.





    Product Type Analysis




    The con

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Nicholas Kuo (2023). The Health Gym v2.0 Synthetic Antiretroviral Therapy (ART) for HIV Dataset [Dataset]. http://doi.org/10.6084/m9.figshare.22827878.v1

The Health Gym v2.0 Synthetic Antiretroviral Therapy (ART) for HIV Dataset

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2 scholarly articles cite this dataset (View in Google Scholar)
txtAvailable download formats
Dataset updated
May 31, 2023
Dataset provided by
figshare
Authors
Nicholas Kuo
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

===###

This synthetic dataset, centred on ART for HIV, was synthesised employing the model outlined in reference [1], incorporating the techniques of WGAN-GP+G_EOT+VAE+Buffer.

This dataset serves as a principal resource for the Centre for Big Data Research in Health (CBDRH) Datathon (see: CBDRH Health Data Science Datathon 2023 (cbdrh-hds-datathon-2023.github.io)). Its primary purpose is to advance the Health Data Analytics (HDAT) courses at the University of New South Wales (UNSW), providing students with exposure to synthetic yet realistic datasets that simulate real-world data.

The dataset is composed of 534,960 records, distributed over 15 distinct columns, and is preserved in a CSV format with a size of 39.1 MB. It contains information about 8,916 synthetic patients over a period of 60 months, with data summarised on a monthly basis. The total number of records corresponds to the product of the synthetic patient count and the record duration in months, thus equating to 8,916 multiplied by 60.

The dataset's structure encompasses 15 columns, which include 13 variables pertinent to ART for HIV as delineated in reference [1], a unique patient identifier, and a further variable signifying the specific time point.

===

This dataset forms part of a continuous series of work, building upon reference [2]. For further details, kindly refer to our papers: [1] Kuo, Nicholas I., Louisa Jorm, and Sebastiano Barbieri. "Generating Synthetic Clinical Data that Capture Class Imbalanced Distributions with Generative Adversarial Networks: Example using Antiretroviral Therapy for HIV." arXiv preprint arXiv:2208.08655 (2022). [2] Kuo, Nicholas I-Hsien, et al. "The Health Gym: synthetic health-related datasets for the development of reinforcement learning algorithms." Scientific Data 9.1 (2022): 693.

===

Latest edit: 16th May 2023.

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