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AI in Fitness and Wellness Market

AI in Fitness and Wellness Market Size, Share & Trends Analysis Report By Type (AI-Enabled Fitness Apps, AI-Integrated Wearable Devices, Virtual Personnel Trainers, AI-Powered Smart Gym Equipment), By Application (Personalized Fitness Recommendations, Health Monitoring and Tracking, Virtual Coaching and Training, Smart Nutrition and Diet Planning), By End User, By Region, And By Segment Forecasts, 2024-2031

Report ID : 2744 | Published : 2024-09-25 | Pages: 180 | Format: PDF/EXCEL

The AI in Fitness and Wellness Market Size is valued at USD 8.60 billion in 2023 and is predicted to reach USD 34.73 billion by the year 2031 at a 19.5% CAGR during the forecast period for 2024-2031.

fitness and wellness

AI is changing the way people think about their health by giving them personalized workout plans, feedback in real time, and more advanced health tracking. Apps and gadgets that are powered by AI, like fitness trackers and smartwatches, look at information like heart rate, activity levels, and sleep habits to help people get more out of their workouts and feel better overall. Virtual personal trainers and workout platforms driven by AI can make training plans just for each person based on their goals, progress, and personal tastes. AI also improves tracking nutrition, dealing with stress, and avoiding injuries. This makes exercise and wellness easier to access, more effective, and more tailored to each user.

Market growth is propelled by number of factors, including technological advancements, increasing demand for personalization, increasing health awareness, advancement in wearable technology, growth of digital wellness platforms, and many others. However, high costs of AI implementation and privacy and security concerns are likely to hinder market growth during the forecast period.

Competitive Landscape

Some Major Key Players In The AI in Fitness and Wellness Market:

  • Fitbit
  • Apple Inc.
  • Google LLC
  • Samsung Electronics Co., Ltd.
  • Garmin Ltd.
  • MyFitnessPal
  • Nike, Inc.
  • Adidas AG
  • Under Armour, Inc.
  • com, Inc.
  • Microsoft Corporation
  • IBM Corporation
  • Xiaomi Corporation
  • Polar Electro Oy
  • Wahoo Fitness
  • Orangetheory Fitness
  • ClassPass Inc.
  • Tonal Systems, Inc.
  • Virtuagym
  • Zwift, Inc.
  • Technogym S.p.A.
  • Asana Rebel GmbH
  • Viome Inc.
  • Mirror (Lululemon Athletica Inc.)
  • Peloton Interactive, Inc
  • Other Market Players

Market Segmentation:

The AI in the fitness and wellness market is segmented into type, application, and end user. As per the type segment, the market is segmented into AI-enabled fitness apps, AI-integrated wearable devices, virtual personnel trainers, and AI-powered smart gym equipment. By application, the market is segmented into personalized fitness recommendations, health monitoring and tracking, virtual coaching and training and smart nutrition and diet planning. Based on end users, the industry is bifurcated into individuals, fitness centres and gyms, healthcare facilities, sports teams and athletes.

Based On Type, The AI-Enabled Fitness Apps Segment Accounts For A Major Contributor To AI In The Fitness And Wellness Market.

The AI-enabled fitness Apps category is expected to hold a major share of the global AI in the fitness and wellness market. Demand for fitness apps that offer individualized training schedules, dietary guidance, and mental wellness support—all of which can be improved by AI—is rising as more and more individuals place a high priority on their health and wellness. Additionally, these apps are now more efficient and user-friendly due to ongoing advancements in AI technology, such as enhanced machine learning algorithms and natural language processing, which have increased adoption and retention rates. Additionally, the COVID-19 epidemic hastened the adoption of digital fitness solutions considerably. Because AI-enabled workout applications are flexible and convenient, many customers are sticking with them even after clubs reopen, which drives revenue growth.

The Personalized Fitness Recommendations Segment Witnessed Growth At A Rapid Rate.

Personalized fitness recommendations are projected to rapid growth in the global AI in the fitness and wellness market. One of the primary sources of revenue is the advancement of complex AI algorithms that can evaluate massive datasets and offer individualized, highly accurate recommendations. To provide individualized regimens, these algorithms take into account several variables, including the user's fitness levels, preferences, historical performance, and health data. Furthermore, customers may conveniently access customized fitness guidance at any time and from any location with the help of AI-powered personalized recommendations. Due to its accessibility, the market has grown, drawing in more people and raising potential sales.

In The Region, North American AI In The Fitness And Wellness Market Holds A Significant Revenue Share.

The North American AI in the fitness and wellness market is predicted to register the highest market share in the near future. One of the main factors in the region is the extensive use of wearables like fitness trackers and smartwatches. Strong market presences include Fitbit, Apple, and Garmin, among others, which offer AI-enhanced features that measure health indicators, offer individualized insights and inspire consumers. Furthermore, corporate wellness is becoming more and more important in North America. AI-driven wellness initiatives are becoming popular among businesses as a way to boost productivity, lower medical expenses, and improve employee health. The market is expanding as a result of this tendency. In addition, Europe is likely to grow rapidly in the global AI in the fitness and wellness market due to rapid digital transformation and rising awareness regarding fitness apps.

Recent Developments:

  • In March 2024, Google integrated artificial intelligence into the Fitbit application to provide significant and personalized health insights. The AI functionalities of the Fitbit app, available via Fitbit Labs, are designed to analyze diverse health metrics obtained from smartphones and wearables.

AI in Fitness and Wellness Market Report Scope

Report Attribute

Specifications

Market Size Value In 2023

USD 8.60 Bn

Revenue Forecast In 2031

USD 34.73 Bn

Growth Rate CAGR

CAGR of 19.5% from 2024 to 2031

Quantitative Units

Representation of revenue in US$ Bn and CAGR from 2024 to 2031

Historic Year

2019 to 2023

Forecast Year

2024-2031

Report Coverage

The forecast of revenue, the position of the company, the competitive market structure, growth prospects, and trends

Segments Covered

By Type, Application, End-User

Regional Scope

North America; Europe; Asia Pacific; Latin America; Middle East & Africa

Country Scope

U.S.; Canada; U.K.; Germany; China; India; Japan; Brazil; Mexico; France; Italy; Spain; South East Asia; South Korea

Competitive Landscape

Fitbit, Apple Inc., Google LLC, Samsung Electronics Co., Ltd., Garmin Ltd., MyFitnessPal, Nike, Inc., Adidas AG, Under Armour, Inc., Amazon.com, Inc., Microsoft Corporation, IBM Corporation, Xiaomi Corporation, Polar Electro Oy, Wahoo Fitness, Orangetheory Fitness, ClassPass Inc., Tonal Systems, Inc., Virtuagym, Zwift, Inc., Technogym S.p.A., Asana Rebel GmbH, Viome Inc., Mirror (Lululemon Athletica Inc.), Peloton Interactive, Inc.

Customization Scope

Free customization report with the procurement of the report and modifications to the regional and segment scope. Particular Geographic competitive landscape.

Pricing And Available Payment Methods

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Chapter 1. Methodology and Scope
1.1. Research Methodology
1.2. Research Scope & Assumptions

Chapter 2. Executive Summary

Chapter 3. Global AI in Fitness and Wellness Market Snapshot

Chapter 4. Global AI in Fitness and Wellness Market Variables, Trends & Scope

4.1. Market Segmentation & Scope
4.2. Drivers
4.3. Challenges
4.4. Trends
4.5. Investment and Funding Analysis
4.6. Industry Analysis – Porter’s Five Forces Analysis
4.7. Competitive Landscape & Market Share Analysis
4.8. Impact of Covid-19 Analysis

Chapter 5. Market Segmentation 1: by Type Estimates & Trend Analysis
5.1. by Type & Market Share, 2019 & 2031
5.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 for the following by Type:

5.2.1. AI-Enabled Fitness Apps
5.2.2. AI-Integrated Wearable Devices
5.2.3. Virtual Personal Trainers
5.2.4. AI-Powered Smart Gym Equipment

Chapter 6. Market Segmentation 2: by End User Estimates & Trend Analysis
6.1. by End User & Market Share, 2019 & 2031
6.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 for the following by End User:

6.2.1. Individuals
6.2.2. Fitness Centers and Gyms
6.2.3. Healthcare Facilities
6.2.4. Sports Teams and Athletes

Chapter 7. Market Segmentation 3: by Application Estimates & Trend Analysis
7.1. by Application & Market Share, 2019 & 2031
7.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 for the following by Application:

7.2.1. Personalized Fitness Recommendations
7.2.2. Health Monitoring and Tracking
7.2.3. Virtual Coaching and Training
7.2.4. Smart Nutrition and Diet Planning

Chapter 8. AI in Fitness and Wellness Market Segmentation 4: Regional Estimates & Trend Analysis

8.1. North America
8.1.1. North America AI in Fitness and Wellness Market Revenue (US$ Million) Estimates and Forecasts by Type, 2023-2031
8.1.2. North America AI in Fitness and Wellness Market Revenue (US$ Million) Estimates and Forecasts by End User, 2023-2031
8.1.3. North America AI in Fitness and Wellness Market Revenue (US$ Million) Estimates and Forecasts by Application, 2023-2031
8.1.4. North America AI in Fitness and Wellness Market Revenue (US$ Million) Estimates and Forecasts by country, 2023-2031

8.2. Europe
8.2.1. Europe AI in Fitness and Wellness Market Revenue (US$ Million) Estimates and Forecasts by Type, 2023-2031
8.2.2. Europe AI in Fitness and Wellness Market Revenue (US$ Million) Estimates and Forecasts by End User, 2023-2031
8.2.3. Europe AI in Fitness and Wellness Market Revenue (US$ Million) Estimates and Forecasts by Application, 2023-2031
8.2.4. Europe AI in Fitness and Wellness Market Revenue (US$ Million) Estimates and Forecasts by country, 2023-2031

8.3. Asia Pacific
8.3.1. Asia Pacific AI in Fitness and Wellness Market Revenue (US$ Million) Estimates and Forecasts by Type, 2023-2031
8.3.2. Asia Pacific AI in Fitness and Wellness Market Revenue (US$ Million) Estimates and Forecasts by End User, 2023-2031
8.3.3. Asia-Pacific AI in Fitness and Wellness Market Revenue (US$ Million) Estimates and Forecasts by Application, 2023-2031
8.3.4. Asia Pacific AI in Fitness and Wellness Market Revenue (US$ Million) Estimates and Forecasts by country, 2023-2031

8.4. Latin America
8.4.1. Latin America AI in Fitness and Wellness Market Revenue (US$ Million) Estimates and Forecasts by Type, 2023-2031
8.4.2. Latin America AI in Fitness and Wellness Market Revenue (US$ Million) Estimates and Forecasts by End User, 2023-2031
8.4.3. Latin America AI in Fitness and Wellness Market Revenue (US$ Million) Estimates and Forecasts by Application, 2023-2031
8.4.4. Latin America AI in Fitness and Wellness Market Revenue (US$ Million) Estimates and Forecasts by country, 2023-2031

8.5. Middle East & Africa
8.5.1. Middle East & Africa AI in Fitness and Wellness Market Revenue (US$ Million) Estimates and Forecasts by Type, 2023-2031
8.5.2. Middle East & Africa AI in Fitness and Wellness Market Revenue (US$ Million) Estimates and Forecasts by End User, 2023-2031
8.5.3. Middle East & Africa AI in Fitness and Wellness Market Revenue (US$ Million) Estimates and Forecasts by Application, 2023-2031
8.5.4. Middle East & Africa AI in Fitness and Wellness Market Revenue (US$ Million) Estimates and Forecasts by country, 2023-2031

Chapter 9. Competitive Landscape
9.1. Major Mergers and Acquisitions/Strategic Alliances
9.2. Company Profiles

9.2.1. Fitbit
9.2.2. Apple Inc.
9.2.3. Google LLC
9.2.4. Samsung Electronics Co., Ltd.
9.2.5. Garmin Ltd.
9.2.6. MyFitnessPal
9.2.7. Nike, Inc.
9.2.8. Adidas AG
9.2.9. Under Armour, Inc.
9.2.10. Amazon.com, Inc.
9.2.11. Microsoft Corporation
9.2.12. IBM Corporation
9.2.13. Xiaomi Corporation
9.2.14. Polar Electro Oy
9.2.15. Wahoo Fitness
9.2.16. Orangetheory Fitness
9.2.17. ClassPass Inc.
9.2.18. Tonal Systems, Inc.
9.2.19. Virtuagym
9.2.20. Zwift, Inc.
9.2.21. Technogym S.p.A.
9.2.22. Asana Rebel GmbH
9.2.23. Viome Inc.
9.2.24. Mirror (Lululemon Athletica Inc.)
9.2.25. Peloton Interactive, Inc
9.2.26. Other Market Players

Segmentation of AI in Fitness and Wellness Market-

AI in Fitness and Wellness Market By Type-

  • AI-Enabled Fitness Apps
  • AI-Integrated Wearable Devices
  • Virtual Personnel Trainers
  • AI-Powered Smart Gym Equipment

fitness and wellness

AI in Fitness and Wellness Market By Application-

  • Personalized Fitness Recommendations
  • Health Monitoring and Tracking
  • Virtual Coaching and Training
  • Smart Nutrition and Diet Planning

AI in Fitness and Wellness Market By End User-

  • Individuals
  • Fitness Centers and Gyms
  • Healthcare Facilities
  • Sports Teams and Athletes

AI in Fitness and Wellness Market By Region-

North America-

  • The US
  • Canada
  • Mexico

Europe-

  • Germany
  • The UK
  • France
  • Italy
  • Spain
  • Rest of Europe

Asia-Pacific-

  • China
  • Japan
  • India
  • South Korea
  • South East Asia
  • Rest of Asia Pacific

Latin America-

  • Brazil
  • Argentina
  • Rest of Latin America

 Middle East & Africa-

  • GCC Countries
  • South Africa
  • Rest of Middle East and Africa

 

InsightAce Analytic follows a standard and comprehensive market research methodology focused on offering the most accurate and precise market insights. The methods followed for all our market research studies include three significant steps – primary research, secondary research, and data modeling and analysis - to derive the current market size and forecast it over the forecast period. In this study, these three steps were used iteratively to generate valid data points (minimum deviation), which were cross-validated through multiple approaches mentioned below in the data modeling section.

Through secondary research methods, information on the market under study, its peer, and the parent market was collected. This information was then entered into data models. The resulted data points and insights were then validated by primary participants.

Based on additional insights from these primary participants, more directional efforts were put into doing secondary research and optimize data models. This process was repeated till all data models used in the study produced similar results (with minimum deviation). This way, this iterative process was able to generate the most accurate market numbers and qualitative insights.

Secondary research

The secondary research sources that are typically mentioned to include, but are not limited to:

  • Company websites, financial reports, annual reports, investor presentations, broker reports, and SEC filings.
  • External and internal proprietary databases, regulatory databases, and relevant patent analysis
  • Statistical databases, National government documents, and market reports
  • Press releases, news articles, and webcasts specific to the companies operating in the market

The paid sources for secondary research like Factiva, OneSource, Hoovers, and Statista

Primary Research:

Primary research involves telephonic interviews, e-mail interactions, as well as face-to-face interviews for each market, category, segment, and subsegment across geographies

The contributors who typically take part in such a course include, but are not limited to: 

  • Industry participants: CEOs, CBO, CMO, VPs, marketing/ type managers, corporate strategy managers, and national sales managers, technical personnel, purchasing managers, resellers, and distributors.
  • Outside experts: Valuation experts, Investment bankers, research analysts specializing in specific markets
  • Key opinion leaders (KOLs) specializing in unique areas corresponding to various industry verticals
  • End-users: Vary mainly depending upon the market

Data Modeling and Analysis:

In the iterative process (mentioned above), data models received inputs from primary as well as secondary sources. But analysts working on these models were the key. They used their extensive knowledge and experience about industry and topic to make changes and fine-tuning these models as per the product/service under study.

The standard data models used while studying this market were the top-down and bottom-up approaches and the company shares analysis model. However, other methods were also used along with these – which were specific to the industry and product/service under study.

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Frequently Asked Questions

How big is the AI in Fitness and Wellness Market Size?

The AI in Fitness and Wellness Market is expected to grow at a 19.5% CAGR during the forecast period for 2024-2031.

Fitbit, Apple Inc., Google LLC, Samsung Electronics Co., Ltd., Garmin Ltd., MyFitnessPal, Nike, Inc., Adidas AG, Under Armour, Inc., Amazon.com, Inc.,

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