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.

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

As of March 2023, more than half of fitness enthusiasts in Thailand were between 18 to 24 years old. In comparison, fitness enthusiasts aged between 35 to 44 years, accounting for roughly four percent. In that same period, the majority of fitness enthusiasts in the country were females.

In a survey conducted in November 2024 in Japan, **** percent of respondents in their twenties stated that they used fitness clubs during the past year. This was the age group with the highest participation rate.

Number and percentage of adults being moderately active or active during leisure time, by age group and sex.

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.

Among all age groups worldwide, those aged 30 to 39 years had the highest percentage of fitness mobile app users. It was estimated that in 2016, around 41 percent of those aged 30 to 39 years used fitness tracking apps to track their health. The popularity of fitness tracking apps has increased significantly within recent years.

App usage

Fitness apps are used to track many aspects of health and wellbeing. Not only are they used for health data such as fitness and nutrition, they can also be used for mental health and chronic illness tracking. Health app users access their apps in a variety of ways. The most common way that health app users accessed their apps was through their mobile phone. When app publishers were asked who they target their apps for, people with chronic illness were most commonly chosen as a target demographic for health apps.

Health app market

Fitness tracking app downloads have dramatically increased in recent years. App diversity and availability have also increased since the popularity of health apps has risen. Since 2015, the number of apps available for download from the Apple store has almost doubled. The top health and fitness app downloaded through the Google Play store in March 2019 was Calorie Counter by MyFitnessPal. The second most downloaded health app at that time was Headspace: Meditation & Sleep.

In the financial year 2023, Australians aged between 25 and 34 years dominated the fitness and gym industry in Australia, with over *** million Australians from the age group participating in fitness or gym activities during the year. That year, gym and fitness participation was the least popular among survey respondents aged 15 to 17 years. Gyms and fitness centers in Australia Australia has seen a steady increase in the number of fitness centers and gyms over recent years. Gym and fitness center use is one of the leading types of sports participation activities in Australia, along with recreational walking, athletics, jogging, and running. Physical health in Australia   While the availability and use of fitness centers continue to rise, obesity remains a significant public health risk in Australia. It is a major risk factor for developing coronary heart disease, a leading cause of death in Australia. Many factors may contribute to one’s risk of obesity; however, adequate physical exercise and a healthy diet are important factors for maintaining a healthy body weight. Currently, most Australians do not meet recommended physical activity guidelines, and only a small portion of Australian adults meet vegetable intake dietary guidelines.

The Fitness Tracker Dataset contains detailed information about individuals' fitness metrics, exercise routines, and health parameters. This dataset is designed to provide insights into fitness trends, workout habits, and overall health patterns. It is ideal for exploratory data analysis (EDA), machine learning applications, and health analytics. The dataset can help identify relationships between physical activity, body metrics, and health outcomes.

Features: Age: Age of the individual in years. Gender:Gender of the individual (e.g., Male, Female). Weight (kg): Weight of the individual in kilograms. Height (m): Height of the individual in meters. Max_BPM:Maximum heartbeats per minute recorded during exercise. Avg_BPM: Average heartbeats per minute during a workout session. Resting_BPM:Resting heartbeats per minute. Session_Duration (hours):Duration of the workout session in hours. Calories_Burned:Total calories burned during a workout session. Workout_Type:Type of workout performed (e.g., Cardio, Strength, Yoga). Fat_Percentage:Percentage of body fat. Water_Intake (liters):Water intake in liters during or after the workout. Workout_Frequency (days/week): Number of days per week the individual exercises. Experience_Level:Level of fitness experience (e.g., Beginner, Intermediate, Advanced). BMI:Body Mass Index, calculated as weight (kg) / height (m)^2.

##Usage: This dataset is suitable for: - Analyzing the impact of fitness routines on health metrics. Exploring trends in heart rate, calorie burn, and workout habits. Correlating body metrics like BMI and fat percentage with exercise patterns. Building predictive models for fitness and health analytics. This is a synthetic dataset created for educational and analytical purposes and does not represent real-world data.

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

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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.

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.

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.

According to a survey by Rakuten Insight in August 2020, the majority of respondents that had a gym membership belonged to the age of 25 to 34 years. Overall, the participants above the age of 55 years accounted for the least share of a gym membership.

European Health Survey: Average time per week (minutes) of physical exercise during leisure time by sex, country of birth, and age group. Average and standard deviation. Population aged 15 years old and over that practises Physical exercise at least once a week during his/her leisure time. National.

Over the five years through 2024-25, revenue is expected to climb at a compound annual rate of 1.7% to £2.8 billion, with revenue set to climb by 1.5% in 2024-25. The Gyms and Fitness Centres industry has recorded robust growth due to the expansion of budget gyms and boutique fitness studios. Budget chains like PureGym and The Gym Group are strategically targeting smaller towns and retail parks, making fitness more accessible in underserved areas. Boutique studios offering specialised classes like yoga and HIIT are thriving, particularly in cities like London, pushing up competition and appealing to niche markets. Larger gyms have responded by diversifying offerings. Moreover, the emergence of micro-gyms providing flexible, private workout spaces has driven up industry innovation and performance. The average profit margin is set to increase to 9.8% in 2024-25 thanks to rising membership and gym expansion. Membership numbers have climbed, a knock-on effect of rising health consciousness and rapid expansion plans by many of the largest companies. Falling operational costs due to lower energy prices in 2024-25 will also benefit profit. However, wage costs remain steep, and the National Living Wage and National Insurance Contributions are set to rise in April 2025. Over the five years through 2029-30, revenue is anticipated to swell at a compound annual rate of 2.6% to reach £3.2 billion. Older adults aged 65 and over are increasingly aware of the health benefits of gym attendance, driving gyms to diversify offerings to meet demand. By 2030, 21.8% of the population will be 65 and older, according to Nuffield Health, prompting gyms to adapt to age-appropriate classes and equipment. Premium gyms now offer a variety of classes, from kickboxing to Pilates, to attract diverse members. The development of AI will also boost efficiency and improve customer experience.

AimsCardiac rehabilitation (CR) is an evidence-based intervention promoting risk factor modification following coronary artery disease events but the relative benefits for patient subgroups is not clear. This review synthesizes the available evidence on the effectiveness of modern CR programs and determines outcomes for age, sex and prior level of fitness.MethodsMEDLINE, CINAHL, and EMBASE were examined for RCT and cohort studies involving exercise prescription or phase II or III CR following Myocardial Infarction (MI), Percutaneous Coronary Intervention (PCI) and cardiac surgery from January 2010 to February 2021. Outcomes assessed included peakVO2max, 6-min walk test and Metabolic Equivalent of Task. Meta-regression was used to determine CR impact for change in fitness and age and sex influences.ResultsThe mean age of study participants was 59.5 years and 82.7% were male. Females, younger people and those of average or above cardiorespiratory fitness were substantially under-represented in data and attendance, with 13% of study groups with a mean age

Drug Use By Age

This directory contains data behind the story How Baby Boomers Get High. It covers 13 drugs across 17 age groups.

Source: National Survey on Drug Use and Health from the Substance Abuse and Mental Health Data Archive.

European Health Survey: Average time per week (minutes) of physical exercise during leisure time by sex, age group and educational level. Average and standard deviation. Population aged 15 and over that practises physical exercise at least once a wk. during leisure time. National.

In the 2023 financial year, around **** percent of Australians aged between 18 and 24 years used gyms, fitness clubs, or sports or leisure centers in Australia. The ** to ** age group also showed a similarly high participation rate of around ** percent.

This statistic displays the results of a survey on the distribution of frequencies of how often people exercise or play sport in the European Union (EU) in 2017, characterised by both age group and gender. The survey was conducted via face-to-face interviews and gathered data from 28,031 respondents across Europe, in December 2017. The frequency of exercise or sport participation tends to decrease with age. A majority of 15-24 year-olds exercise or play sport regularly or with some regularity. This falls to 46 percent in the 25-39 year olds, 39 percent for 40-54 year-olds and 30 percent for those aged 55 or over. In addition, the proportion that never exercises or plays sport also increases with age, from 24 percent among 15-24 year olds, to 61 percent of those aged 55 or over. Reasons for participation The most frequently offered reason for participating in physical activity and sport include are to improve health and to improve fitness. Other popular reasons include relaxing, having fun and improving physical performance. Conversely the frequently offered reason for a lack of participation is a lack of time., followed by a lack motivation or interest. Younger people do more sports The positive correlation shown between the age of a respondent and the frequency with which they engage in exercise or sport could be related to these two frequently offered reasons preventing participation in physical activity. More information about sports in Europe can be found in the Dossier: Fitness industry in Europe.