CONSUMER PRODUCT & SERVICES
Global Online Fitness Market - Industry Trends and Forecast to 2032
REPORT OVERVIEW
Global Online Fitness Market, By Streaming Type (Live and On-demand), Session (Group and Solo), Technology (Mobile App, Desktop/Laptop, and Smart TV), End Use (Professional Gyms, Educational and Sports Institutes, Individuals, and Others), Subscription Model (Pay-per Class, Monthly Subscription, and Annual Subscription), Region (North America, Europe, Asia-Pacific, South America, Middle East and Africa) – Industry Trends and Forecast to 2032.
Market Insights
Market Dynamics
- Increased internet and smartphone penetration
- Technological advancements
- Technical issues
- Digital divide and access to technology
- Expansion of mobile apps and platforms
- Integration with health and wellness ecosystem
- Subscription fatigue and retention
- Trust and security concerns
SEGMENTATION
- Streaming Type
- Live
- On-demand
- Session
- Group
- Solo
- Technology
- Mobile App
- Desktop/Laptop
- Smart TV
- End Use
- Professional Gyms
- Educational and Sports Institutes
- Individuals
- Others
- Subscription Model
- Pay-per Class
- Monthly Subscription
- Annual Subscription
- North America
- U.S.
- Canada
- Mexico
- Rest of North America
- Europe
- Germany
- U.K.
- France
- Italy
- Spain
- Russia
- The Netherlands
- Belgium
- Turkey
- Rest of Europe
- Asia-Pacific
- China
- India
- Japan
- South Korea
- Singapore
- Malaysia
- Australia
- Thailand
- Philippines
- Rest of Asia-Pacific
- South America
- Brazil
- Argentina
- Chile
- Colombia
- Rest of South America
- Middle East and Africa
- Kingdom of Saudi Arabia
- South Africa
- U.A.E.
- Egypt
- Rest of Middle East and Africa
KEY MARKET PLAYERS
- Pelton
- Strava
- Beachbody On Demand
- Nike Training Club
- MyFitnessPal
- Fitbit Premium
- Daily Burn
- Tone It Up
- Freeletics
- Centr
Table OF CONTENTS
- SECTION 1 - INTRODUCTION
- 1.1 Taxonomy
- 1.2 Market Overview
- 1.3 Currency and Limitations
- 1.3.1 Currency
- 1.3.2 Limitations
- 1.4 Key Competitors
- SECTION 2 - RESEARCH METHODOLOGY
- 2.1 Research Approach
- 2.2 Data Collection and Validation
- 2.2.1 Secondary Research
- 2.2.2 Primary Research
- 2.3 Market Assessment
- 2.3.1 Market Size Estimation
- 2.3.2 Bottom-up Approach
- 2.3.3 Top-down Approach
- 2.3.4 Growth Forecast
- 2.4 Market Study Assumptions
- 2.5 Data Sources
- SECTION 3 - EXECUTIVE SUMMARY
- 3.1 Global Online Fitness Market, by Streaming Type
- 3.2 Global Online Fitness Market, by Session
- 3.3 Global Online Fitness Market, by Technology
- 3.4 Global Online Fitness Market, by End Use
- 3.5 Global Online Fitness Market, by Subscription Model
- 3.6 Global Online Fitness Market, by Geography
- 3.7 Market Position Grid
- SECTION 4 - PREMIUM INSIGHTS
- 4.1 Regulatory Framework
- 4.1.1 Standards
- 4.1.2 Regulatory Landscape
- 4.2 Value Chain Analysis
- 4.3 Supply Chain Analysis
- 4.4 COVID-19 Impact
- 4.5 Russia-Ukraine War Impact
- 4.6 PORTER's Five Force Analysis
- 4.7 PESTLE Analysis
- 4.8 SWOT Analysis
- 4.9 Go to Market Strategy
- 4.10 Opportunity Orbit
- 4.11 Multivariate Modelling
- 4.12 Pricing Analysis
- SECTION 5 - MARKET DYNAMICS
- 5.1 Trends
- 5.1.1 Growing focus on personalization
- 5.1.2 Increasing health awareness worldwide
- 5.1.3 Trend 3
- 5.2 Drivers
- 5.2.1 Increased internet and smartphone penetration
- 5.2.2 Technological advancements
- 5.2.3 Driver 3
- 5.2.4 Driver 4
- 5.3 Restraints
- 5.3.1 Technical issues
- 5.3.2 Digital divide and access to technology
- 5.3.3 Restraint 3
- 5.4 Opportunities
- 5.4.1 Expansion of mobile apps and platforms
- 5.4.2 Integration with health and wellness ecosystem
- 5.4.3 Opportunity 3
- 5.4.4 Opportunity 4
- 5.5 Challenges
- 5.5.1 Subscription fatigue and retention
- 5.5.2 Trust and security concerns
- 5.5.3 Challenge 3
- SECTION 6 - GLOBAL ONLINE FITNESS MARKET, BY STREAMING TYPE
- 6.1 Streaming Type Summary
- 6.2 Market Attractive Index
- 6.3 Global Online Fitness Market, by Streaming Type (2019-2032)
- SECTION 7 - GLOBAL ONLINE FITNESS MARKET, BY SESSION
- 7.1 Session Summary
- 7.2 Market Attractive Index
- 7.3 Global Online Fitness Market, by Session (2019-2032)
- SECTION 8 - GLOBAL ONLINE FITNESS MARKET, BY TECHNOLOGY
- 8.1 Technology Summary
- 8.2 Market Attractive Index
- 8.3 Global Online Fitness Market, by Technology (2019-2032)
- SECTION 9 - GLOBAL ONLINE FITNESS MARKET, BY END USE
- 9.1 End Use Summary
- 9.2 Market Attractive Index
- 9.3 Global Online Fitness Market, by End Use (2019-2032)
- SECTION 10 - GLOBAL ONLINE FITNESS MARKET, BY SUBSCRIPTION MODEL
- 10.1 Subscription Model Summary
- 10.2 Market Attractive Index
- 10.3 Global Online Fitness Market, by Subscription Model (2019-2032)
- SECTION 11 - GLOBAL ONLINE FITNESS MARKET, BY GEOGRAPHY
- 11.1 Regional Summary
- 11.2 Market Attractive Index
- 11.3 Global Online Fitness Market, by Geography (2019-2032)
- SECTION 12 - NORTH AMERICA ONLINE FITNESS MARKET
- 12.1 North America Summary
- 12.2 Market Attractive Index
- 12.3 North America Online Fitness Market, by Streaming Type (2019-2032)
- 12.4 North America Online Fitness Market, by Session (2019-2032)
- 12.5 North America Online Fitness Market, by Technology (2019-2032)
- 12.6 North America Online Fitness Market, by End Use (2019-2032)
- 12.7 North America Online Fitness Market, by Subscription Model (2019-2032)
- 12.8 North America Online Fitness Market, by Country (2019-2032)
- 12.8.1 U.S.
- 12.8.2 Canada
- 12.8.3 Mexico
- 12.8.4 Rest of North America
- SECTION 13 - EUROPE ONLINE FITNESS MARKET
- 13.1 Europe Summary
- 13.2 Market Attractive Index
- 13.3 Europe Online Fitness Market, by Streaming Type (2019-2032)
- 13.4 Europe Online Fitness Market, by Session (2019-2032)
- 13.5 Europe Online Fitness Market, by Technology (2019-2032)
- 13.6 Europe Online Fitness Market, by End Use (2019-2032)
- 13.7 Europe Online Fitness Market, by Subscription Model (2019-2032)
- 13.8 Europe Online Fitness Market, by Country (2019-2032)
- 13.8.1 Germany
- 13.8.2 U.K.
- 13.8.3 France
- 13.8.4 Italy
- 13.8.5 Spain
- 13.8.6 Russia
- 13.8.7 The Netherlands
- 13.8.8 Belgium
- 13.8.9 Turkey
- 13.8.10 Rest of Europe
- SECTION 14 - ASIA-PACIFIC ONLINE FITNESS MARKET
- 14.1 Asia-Pacific Summary
- 14.2 Market Attractive Index
- 14.3 Asia-Pacific Online Fitness Market, by Streaming Type (2019-2032)
- 14.4 Asia-Pacific Online Fitness Market, by Session (2019-2032)
- 14.5 Asia-Pacific Online Fitness Market, by Technology (2019-2032)
- 14.6 Asia-Pacific Online Fitness Market, by End Use (2019-2032)
- 14.7 Asia-Pacific Online Fitness Market, by Subscription Model (2019-2032)
- 14.8 Asia-Pacific Online Fitness Market, by Country (2019-2032)
- 14.8.1 China
- 14.8.2 India
- 14.8.3 Japan
- 14.8.4 South Korea
- 14.8.5 Singapore
- 14.8.6 Malaysia
- 14.8.7 Australia
- 14.8.8 Thailand
- 14.8.9 Philippines
- 14.8.10 Rest of Asia-Pacific
- SECTION 15 - SOUTH AMERICA ONLINE FITNESS MARKET
- 15.1 South America Summary
- 15.2 Market Attractive Index
- 15.3 South America Online Fitness Market, by Streaming Type (2019-2032)
- 15.4 South America Online Fitness Market, by Session (2019-2032)
- 15.5 South America Online Fitness Market, by Technology (2019-2032)
- 15.6 South America Online Fitness Market, by End Use (2019-2032)
- 15.7 South America Online Fitness Market, by Subscription Model (2019-2032)
- 15.8 South America Online Fitness Market, by Country (2019-2032)
- 15.8.1 Brazil
- 15.8.2 Argentina
- 15.8.3 Chile
- 15.8.4 Colombia
- 15.8.5 Rest of South America
- SECTION 16 - MIDDLE EAST AND AFRICA ONLINE FITNESS MARKET
- 16.1 Middle East and Africa Summary
- 16.2 Market Attractive Index
- 16.3 Middle East and Africa Online Fitness Market, by Streaming Type (2019-2032)
- 16.4 Middle East and Africa Online Fitness Market, by Session (2019-2032)
- 16.5 Middle East and Africa Online Fitness Market, by Technology (2019-2032)
- 16.6 Middle East and Africa Online Fitness Market, by End Use (2019-2032)
- 16.7 Middle East and Africa Online Fitness Market, by Subscription Model (2019-2032)
- 16.8 Middle East and Africa Online Fitness Market, by Country (2019-2032)
- 16.8.1 Kingdom of Saudi Arabia
- 16.8.2 South Africa
- 16.8.3 U.A.E.
- 16.8.4 Egypt
- 16.8.5 Rest of Middle East and Africa
- SECTION 17 - COMPANY SHARE ANALYSIS
- 17.1 Global Online Fitness Market, Company Share Analysis
- 17.2 North America Online Fitness Market, Company Share Analysis
- 17.3 Europe Online Fitness Market, Company Share Analysis
- 17.4 Asia-Pacific Online Fitness Market, Company Share Analysis
- SECTION 18 - COMPANY PROFILES
- 18.1 Pelton
- 18.1.1 Company Snapshot
- 18.1.2 Financial Overview
- 18.1.3 Product Portfolio
- 18.1.4 Recent Developments
- 18.2 Strava
- 18.2.1 Company Snapshot
- 18.2.2 Financial Overview
- 18.2.3 Product Portfolio
- 18.2.4 Recent Developments
- 18.3 Beachbody On Demand
- 18.3.1 Company Snapshot
- 18.3.2 Financial Overview
- 18.3.3 Product Portfolio
- 18.3.4 Recent Developments
- 18.4 Nike Training Club
- 18.4.1 Company Snapshot
- 18.4.2 Financial Overview
- 18.4.3 Product Portfolio
- 18.4.4 Recent Developments
- 18.5 MyFitnessPal
- 18.5.1 Company Snapshot
- 18.5.2 Financial Overview
- 18.5.3 Product Portfolio
- 18.5.4 Recent Developments
- 18.6 Fitbit Premium
- 18.6.1 Company Snapshot
- 18.6.2 Financial Overview
- 18.6.3 Product Portfolio
- 18.6.4 Recent Developments
- 18.7 Daily Burn
- 18.7.1 Company Snapshot
- 18.7.2 Financial Overview
- 18.7.3 Product Portfolio
- 18.7.4 Recent Developments
- 18.8 Tone It Up
- 18.8.1 Company Snapshot
- 18.8.2 Financial Overview
- 18.8.3 Product Portfolio
- 18.8.4 Recent Developments
- 18.9 Freeletics
- 18.9.1 Company Snapshot
- 18.9.2 Financial Overview
- 18.9.3 Product Portfolio
- 18.9.4 Recent Developments
- 18.10 Centr
- 18.10.1 Company Snapshot
- 18.10.2 Financial Overview
- 18.10.3 Product Portfolio
- 18.10.4 Recent Developments
- SECTION 19 - RELATED REPORTS
- SECTION 20 - DISCLAIMER
RESEARCH METHODOLOGY
RESEARCH AND DATA COLLECTION
- Research articles published on Technium
- Science and MDPI
- Research publications by government approved associations and societies
DATA PRE-PROCESSING
The term "data pre-processing" refers to the collection of procedures and methods used to clean, modify, and make ready for analysis the raw data gathered during research and data collection. The completion of this phase is necessary to guarantee that the data are reliable, consistent, and appropriate for statistical analysis and other data-driven tasks. The data pre-processing ensures that the information gathered from research and data collection is comparable and expressed in standard units, by the integration of missing data pointers and algorithmic approaches.
MODELING AND FORECASTING
QUALITY ASSURANCE AND OUTPUT
Quality assurance and output involves the process of validation, adjustments, further publications of key market indicators. Extensive plausibility and consistency tests are performed on derived time series to ensure the high degree of quality of our market analysis. This quality assurance procedure also includes rigorous inspection, validation, and editing by an experienced management team to assure the dependability of the published data.