비만용 디지털 헬스 시장 규모, 점유율, 동향 분석 보고서 : 컴포넌트별, 최종 용도별, 지역별, 부문 예측(2025-2033년)

Digital Health For Obesity Market Growth & Trends:

The global digital health for obesity market size is estimated to reach USD 392.89 billion by 2033, registering a CAGR of 24.0% from 2025 to 2033, according to a new report by Grand View Research, Inc. Rising global obesity rates, with over 1.9 billion adults affected, have created a substantial market demand for weight management solutions. Lifestyle changes, including sedentary habits and unhealthy dietary choices, contribute significantly to this growth. The increasing awareness of obesity-related health risks, such as diabetes and cardiovascular diseases, propels individuals toward seeking effective interventions. In addition, advancements in technology and the emergence of digital health solutions, personalized dietary guidance apps, and wearable devices, further drive market growth as people increasingly turn to technology for managing their weight. The intersection of health consciousness, technological innovation, and the urgent need for effective weight management solutions collectively fuels the market growth.

Furthermore, the growth of digital health solutions in obesity market can be attributed to a rising prevalence of obesity and associated health conditions, alongside growing health awareness. Incorporating advanced technologies such as artificial intelligence (AI) and machine learning (ML) is anticipated to further contribute to market expansion. Various weight loss apps are being launched in that market that offer applications on various operating systems, including iOS, Android, and others. These apps cater to various aspects such as lifestyle monitoring, diet tracking, weight management, exercise monitoring, and more. As obesity rates continue to rise globally, there is an increasing demand for weight loss apps, and companies are leveraging this trend to their advantage.

Furthermore, the digital health obesity market has witnessed increased acceptance of remote patient management (RPM) due to the impact of the COVID-19 pandemic. Implementing convenient and accessible tools has diminished obstacles to care, eliminating the necessity for frequent in-person visits. RPM allows healthcare professionals to consistently monitor patients and provide timely remote assistance, proving advantageous for individuals with limited mobility or hectic schedules. This cost-effective and convenient approach enables effective weight management and promotes heightened engagement and personalized healthcare.

The major players operating in the market are adopting strategies such as collaborations, mergers and acquisitions, and partnerships, product launches, with a major focus on enhancing product formation and reach. For instance, in October 2023, Mendel.ai, a startup specializing in the utilization of artificial intelligence for organizing medical information, unveiled Hypercube, an AI-powered platform. This innovative system integrates both structured and unstructured text data, democratizing analytics and enabling users to pose questions in free text. Hypercube then provides outcomes derived from specific patient data, enhancing accessibility and efficiency in medical information analysis. In May 2023, Noom, Inc. introduced Noom Med, designed to combat obesity as a disease. Noom Med integrates a range of telehealth services with Noom's personalized psychological tools to facilitate enduring weight loss. This program, an augmentation of Noom Weight, the company's widely used consumer-facing solution, utilizes psychological principles, human assistance, and technology to empower patients in overcoming obstacles to sustained weight loss.

Digital Health For Obesity Market Report Highlights:

• Based on component, the services segment accounted for the largest market revenue share in 2024. This growth can be attributed to the growing demand for installation, maintenance, training, and other services.
• Based on end-use, the patient segment accounted with the largest market share in 2024 and is anticipated to witness at the fastest CAGR over the forecast period.
• North America dominated the market in 2024 with a revenue share of over 37.7%, owing to growing healthcare IT expenditure, availability of adequate digital infrastructure, technological advancements, the emergence of startups.

Table of Contents

Chapter 1. Methodology and Scope

• 1.1. Market Segmentation & Scope
  • 1.1.1. Component
  • 1.1.2. End Use
  • 1.1.3. Regional scope
  • 1.1.4. Estimates and forecast timeline.
• 1.2. Research Methodology
• 1.3. Information Procurement
  • 1.3.1. Purchased database.
  • 1.3.2. GVR's internal database
  • 1.3.3. Secondary sources
  • 1.3.4. Primary research
  • 1.3.5. Details of primary research
• 1.4. Information or Data Analysis
  • 1.4.1. Data analysis models
• 1.5. Market Formulation & Validation
• 1.6. Model Details
  • 1.6.1. Commodity flow analysis (Model 1)
  • 1.6.2. Approach 1: Commodity flow approach
  • 1.6.3. Volume price analysis (Model 2)
  • 1.6.4. Approach 2: Volume price analysis
• 1.7. List of Secondary Sources
• 1.8. List of Primary Sources
• 1.9. Objectives

Chapter 2. Executive Summary

• 2.1. Market Outlook
• 2.2. Segment Outlook
  • 2.2.1. Component outlook
  • 2.2.2. End Use outlook.
  • 2.2.3. Regional outlook
• 2.3. Competitive Insights

Chapter 3. Digital Health for Obesity Market Variables, Trends & Scope

• 3.1. Market Lineage Outlook
  • 3.1.1. Parent market outlook
  • 3.1.2. Related/ancillary market outlook.
• 3.2. Market Dynamics
  • 3.2.1. Market driver analysis
    • 3.2.1.1. Growing adoption of digital technology in obesity care
    • 3.2.1.2. Increasing use of artificial intelligence (AI), internet of things (IoT), and big data
    • 3.2.1.3. Growing adoption of mobile health applications and technologies
    • 3.2.1.4. Increasing burden of mental disorders
  • 3.2.2. Market restraint analysis
    • 3.2.2.1. Privacy and security concerns
    • 3.2.2.2. Lack of healthcare infrastructure
• 3.3. Digital Health for Obesity Market Analysis Tools
  • 3.3.1. Industry Analysis - Porter's
    • 3.3.1.1. Supplier power
    • 3.3.1.2. Buyer power
    • 3.3.1.3. Substitution threat
    • 3.3.1.4. Threat of new entrant
    • 3.3.1.5. Competitive rivalry
  • 3.3.2. PESTEL Analysis
    • 3.3.2.1. Political landscape
    • 3.3.2.2. Technological landscape
    • 3.3.2.3. Economic landscape
• 3.4. Emerging Technological Trends in the Market
• 3.5. Technology Landscape in the Market
• 3.6. Case Study Analysis
• 3.7. Regulatory and Reimbursement Scenario, by Country
• 3.8. Value Chain Analysis
• 3.9. Market Funding/Investment Scenario
  • 3.9.1. Venture capital (VC) deal activity
  • 3.9.2. Top 10 digital health VC deals in 2024
  • 3.9.3. Annual equity funding & deals
  • 3.9.4. Quarterly equity funding & deals
  • 3.9.5. Quarter funding & deals by global region
  • 3.9.6. Percent of quarterly deals by global region
  • 3.9.7. Percent of quarterly deals by investor group
  • 3.9.8. Annual average & median deal size
  • 3.9.9. Annual median deal size by global region
  • 3.9.10. Annual median deal size by investor group
  • 3.9.11. Annual mega-round funding & deals
  • 3.9.12. Quarterly funding & deals from mega-rounds (deals worth usd 100 million+)
  • 3.9.13. Quarter mega-round funding & deals by global region
  • 3.9.14. Quarterly mega-round deals by global region
  • 3.9.15. Quarterly mega-rounds as percentage of funding
  • 3.9.16. Quarter top equity deals
  • 3.9.17. Annual percentage of deals by deal stage
  • 3.9.18. Quarter regional deal shares by deal stage
  • 3.9.19. Annual median funding by deal stage
  • 3.9.20. Quarter top seed/angel deals
  • 3.9.21. Quarter top series A deals
  • 3.9.22. Quarter top series B deals
  • 3.9.23. Quarter top series C deals
  • 3.9.24. Quarter top series D deals
  • 3.9.25. Quarter top series E+ deals
• 3.10. Unicorn Funding Trends in Digital Health
  • 3.10.1. Quarterly new & total unicorns (private companies valued at USD 1 billion+)
  • 3.10.2. Quarter new & total unicorns by global region
  • 3.10.3. Quarterly new unicorns by global region
  • 3.10.4. Quarter top unicorns by valuation
• 3.11. Exit Trends in Digital Health Market
  • 3.11.1. Annual exits
  • 3.11.2. Quarterly exits
  • 3.11.3. Percent of quarterly exits by global region
  • 3.11.4. Quarter top M&A exits
  • 3.11.5. Quarter top IPOs
• 3.12. Key Investors Analysis in the Digital Health Landscape
  • 3.12.1. Quarter top investors by company count
  • 3.12.2. Quarter top VCs by company count
  • 3.12.3. Quarter top corporate VCs (CVCs) by company count
• 3.13. Key Investment Geographic Trends in Digital Health Market
  • 3.13.1. U.S. Trends
    • 3.13.1.1. Annual funding & deals
    • 3.13.1.2. Quarterly funding & deals
    • 3.13.1.3. Annual percentage of deals by deal stage
    • 3.13.1.4. Quarter top equity deals
    • 3.13.1.5. Annual exits
    • 3.13.1.6. Quarterly exists
    • 3.13.1.7. Quarter top investors by company count
  • 3.13.2. Asia Trends
    • 3.13.2.1. Annual funding & deals
    • 3.13.2.2. Quarterly funding & deals
    • 3.13.2.3. Annual percentage of deals by deal stage
    • 3.13.2.4. Quarter top equity deals
    • 3.13.2.5. Annual exits
    • 3.13.2.6. Quarterly exists
    • 3.13.2.7. Quarter top investors by company count
  • 3.13.3. China
  • 3.13.4. Japan
  • 3.13.5. Europe Trends
    • 3.13.5.1. Annual funding & deals
    • 3.13.5.2. Quarterly funding & deals
    • 3.13.5.3. Annual percentage of deals by deal stage
    • 3.13.5.4. Quarter top equity deals
    • 3.13.5.5. Annual exits
    • 3.13.5.6. Quarterly exists
    • 3.13.5.7. Quarter top investors by company count
  • 3.13.6. UK

Chapter 4. Digital Health for Obesity Market: Component Estimates & Trend Analysis

• 4.1. Definition and Scope
• 4.2. Component Market Share, 2024 & 2033
• 4.3. Segment Dashboard
• 4.4. Global Digital Health for Obesity Market by Component Outlook
• 4.5. Software
  • 4.5.1. Market estimates and forecast 2021 to 2033 (USD Million)
• 4.6. Hardware
  • 4.6.1. Market estimates and forecast 2021 to 2033 (USD Million)
• 4.7. Services
  • 4.7.1. Market estimates and forecast 2021 to 2033 (USD Million)

Chapter 5. Digital Health for Obesity Market: End Use Estimates & Trend Analysis

• 5.1. Definition and Scope
• 5.2. End Use Market Share, 2024 & 2033
• 5.3. Segment Dashboard
• 5.4. Global Digital Health for Obesity Market by End Use Outlook
• 5.5. Patients
  • 5.5.1. Market estimates and forecast 2021 to 2033 (USD Million)
• 5.6. Providers
  • 5.6.1. Market estimates and forecast 2021 to 2033 (USD Million)
• 5.7. Payers
  • 5.7.1. Market estimates and forecast 2021 to 2033 (USD Million)
• 5.8. Others
  • 5.8.1. Market estimates and forecast 2021 to 2033 (USD Million)

Chapter 6. Digital Health for Obesity Market: Regional Estimates & Trend Analysis, By Component, By End Use

• 6.1. Regional Market Share Analysis, 2024 & 2033
• 6.2. Regional Market Dashboard
• 6.3. Global Regional Market Snapshot
• 6.4. SWOT Analysis, by Region
• 6.5. North America
  • 6.5.1. U.S.
    • 6.5.1.1. Key country dynamics
    • 6.5.1.2. Regulatory framework
    • 6.5.1.3. Competitive scenario
    • 6.5.1.4. U.S. market estimates and forecasts 2021 to 2033 (USD Million)
  • 6.5.2. Canada
    • 6.5.2.1. Key country dynamics
    • 6.5.2.2. Regulatory framework
    • 6.5.2.3. Competitive scenario
    • 6.5.2.4. Canada market estimates and forecasts 2021 to 2033 (USD Million)
• 6.6. Europe
  • 6.6.1. UK
    • 6.6.1.1. Key country dynamics
    • 6.6.1.2. Regulatory framework
    • 6.6.1.3. Competitive scenario
    • 6.6.1.4. UK market estimates and forecasts 2021 to 2033 (USD Million)
  • 6.6.2. Germany
    • 6.6.2.1. Key country dynamics
    • 6.6.2.2. Regulatory framework
    • 6.6.2.3. Competitive scenario
    • 6.6.2.4. Germany market estimates and forecasts 2021 to 2033 (USD Million)
  • 6.6.3. France
    • 6.6.3.1. Key country dynamics
    • 6.6.3.2. Regulatory framework
    • 6.6.3.3. Competitive scenario
    • 6.6.3.4. France market estimates and forecasts 2021 to 2033 (USD Million)
  • 6.6.4. Italy
    • 6.6.4.1. Key country dynamics
    • 6.6.4.2. Regulatory framework
    • 6.6.4.3. Competitive scenario
    • 6.6.4.4. Italy market estimates and forecasts 2021 to 2033 (USD Million)
  • 6.6.5. Spain
    • 6.6.5.1. Key country dynamics
    • 6.6.5.2. Regulatory framework
    • 6.6.5.3. Competitive scenario
    • 6.6.5.4. Spain market estimates and forecasts 2021 to 2033 (USD Million)
  • 6.6.6. Norway
    • 6.6.6.1. Key country dynamics
    • 6.6.6.2. Regulatory framework
    • 6.6.6.3. Competitive scenario
    • 6.6.6.4. Norway market estimates and forecasts 2021 to 2033 (USD Million)
  • 6.6.7. Sweden
    • 6.6.7.1. Key country dynamics
    • 6.6.7.2. Regulatory framework
    • 6.6.7.3. Competitive scenario
    • 6.6.7.4. Sweden market estimates and forecasts 2021 to 2033 (USD Million)
  • 6.6.8. Denmark
    • 6.6.8.1. Key country dynamics
    • 6.6.8.2. Regulatory framework
    • 6.6.8.3. Competitive scenario
    • 6.6.8.4. Denmark market estimates and forecasts 2021 to 2033 (USD Million)
• 6.7. Asia Pacific
  • 6.7.1. Japan
    • 6.7.1.1. Key country dynamics
    • 6.7.1.2. Regulatory framework
    • 6.7.1.3. Competitive scenario
    • 6.7.1.4. Japan market estimates and forecasts 2021 to 2033 (USD Million)
  • 6.7.2. China
    • 6.7.2.1. Key country dynamics
    • 6.7.2.2. Regulatory framework
    • 6.7.2.3. Competitive scenario
    • 6.7.2.4. China market estimates and forecasts 2021 to 2033 (USD Million)
  • 6.7.3. India
    • 6.7.3.1. Key country dynamics
    • 6.7.3.2. Regulatory framework
    • 6.7.3.3. Competitive scenario
    • 6.7.3.4. India market estimates and forecasts 2021 to 2033 (USD Million)
  • 6.7.4. Australia
    • 6.7.4.1. Key country dynamics
    • 6.7.4.2. Regulatory framework
    • 6.7.4.3. Competitive scenario
    • 6.7.4.4. Australia market estimates and forecasts 2021 to 2033 (USD Million)
  • 6.7.5. South Korea
    • 6.7.5.1. Key country dynamics
    • 6.7.5.2. Regulatory framework
    • 6.7.5.3. Competitive scenario
    • 6.7.5.4. South Korea market estimates and forecasts 2021 to 2033 (USD Million)
  • 6.7.6. Singapore
    • 6.7.6.1. Key country dynamics
    • 6.7.6.2. Regulatory framework
    • 6.7.6.3. Competitive scenario
    • 6.7.6.4. Singapore market estimates and forecasts 2021 to 2033 (USD Million)
• 6.8. Latin America
  • 6.8.1. Brazil
    • 6.8.1.1. Key country dynamics
    • 6.8.1.2. Regulatory framework
    • 6.8.1.3. Competitive scenario
    • 6.8.1.4. Brazil market estimates and forecasts 2021 to 2033 (USD Million)
  • 6.8.2. Mexico
    • 6.8.2.1. Key country dynamics
    • 6.8.2.2. Regulatory framework
    • 6.8.2.3. Competitive scenario
    • 6.8.2.4. Mexico market estimates and forecasts 2021 to 2033 (USD Million)
  • 6.8.3. Argentina
    • 6.8.3.1. Key country dynamics
    • 6.8.3.2. Regulatory framework
    • 6.8.3.3. Competitive scenario
    • 6.8.3.4. Argentina market estimates and forecasts 2021 to 2033 (USD Million)
• 6.9. MEA
  • 6.9.1. South Africa
    • 6.9.1.1. Key country dynamics
    • 6.9.1.2. Regulatory framework
    • 6.9.1.3. Competitive scenario
    • 6.9.1.4. South Africa market estimates and forecasts 2021 to 2033 (USD Million)
  • 6.9.2. Saudi Arabia
    • 6.9.2.1. Key country dynamics
    • 6.9.2.2. Regulatory framework
    • 6.9.2.3. Competitive scenario
    • 6.9.2.4. Saudi Arabia market estimates and forecasts 2021 to 2033 (USD Million)
  • 6.9.3. UAE
    • 6.9.3.1. Key country dynamics
    • 6.9.3.2. Regulatory framework
    • 6.9.3.3. Competitive scenario
    • 6.9.3.4. UAE market estimates and forecasts 2021 to 2033 (USD Million)
  • 6.9.4. Kuwait
    • 6.9.4.1. Key country dynamics
    • 6.9.4.2. Regulatory framework
    • 6.9.4.3. Competitive scenario
    • 6.9.4.4. Kuwait market estimates and forecasts 2021 to 2033 (USD Million)

Chapter 7. Competitive Landscape

• 7.1. Recent Developments & Impact Analysis, By Key Market Participants
• 7.2. Company/Competition Categorization
  • 7.2.1. Innovators
• 7.3. Key company market position analysis, 2024
• 7.4. List of Companies
  • 7.4.1. WW International
    • 7.4.1.1. Company overview
    • 7.4.1.2. Financial performance
    • 7.4.1.3. Product benchmarking
    • 7.4.1.4. Strategic initiatives
  • 7.4.2. MyFitnessPal Inc.
    • 7.4.2.1. Company overview
    • 7.4.2.2. Financial performance
    • 7.4.2.3. Product benchmarking
    • 7.4.2.4. Strategic initiatives
  • 7.4.3. Teladoc
    • 7.4.3.1. Company overview
    • 7.4.3.2. Financial performance
    • 7.4.3.3. Product benchmarking
    • 7.4.3.4. Strategic initiatives
  • 7.4.4. FitnessKeeper
    • 7.4.4.1. Company overview
    • 7.4.4.2. Financial performance
    • 7.4.4.3. Product benchmarking
    • 7.4.4.4. Strategic initiatives
  • 7.4.5. Healthify (My Diet Coach)
    • 7.4.5.1. Company overview
    • 7.4.5.2. Financial performance
    • 7.4.5.3. Product benchmarking
    • 7.4.5.4. Strategic initiatives
  • 7.4.6. PlateJoy
    • 7.4.6.1. Company overview
    • 7.4.6.2. Financial performance
    • 7.4.6.3. Product benchmarking
    • 7.4.6.4. Strategic initiatives
  • 7.4.7. Tempus
    • 7.4.7.1. Company overview
    • 7.4.7.2. Financial performance
    • 7.4.7.3. Product benchmarking
    • 7.4.7.4. Strategic initiatives
  • 7.4.8. Fitbit, Inc.
    • 7.4.8.1. Company overview
    • 7.4.8.2. Financial performance
    • 7.4.8.3. Product benchmarking
    • 7.4.8.4. Strategic initiatives
  • 7.4.9. Noom
    • 7.4.9.1. Company overview
    • 7.4.9.2. Financial performance
    • 7.4.9.3. Product benchmarking
    • 7.4.9.4. Strategic initiatives
  • 7.4.10. WellDoc
    • 7.4.10.1. Company overview
    • 7.4.10.2. Financial performance
    • 7.4.10.3. Product benchmarking
    • 7.4.10.4. Strategic initiatives
  • 7.4.11. Sidekick Health
    • 7.4.11.1. Company overview
    • 7.4.11.2. Financial performance
    • 7.4.11.3. Product benchmarking
    • 7.4.11.4. Strategic initiatives
  • 7.4.12. BioAge Labs
    • 7.4.12.1. Company overview
    • 7.4.12.2. Financial performance
    • 7.4.12.3. Product benchmarking
    • 7.4.12.4. Strategic initiatives