Global Digital Therapy for Obesity Market Strategic Research Report
By Type: Behavior-Change Digital Therapeutics, AI-Personalized Weight Loss Digital Therapeutics, Medication-Assisted Digital Therapeutics for Obesity, Others
By Application: Adult Obesity Management, Childhood and Adolescent Obesity Management, Management of Obesity with Comorbid Metabolic Diseases, Others
Regional Forecast: Asia Pacific, Latin America, MEA, Europe, North America
Key Players: Boli Care, Click Therapeutics, Oviva, Liva Healthcare, Noom, Omada Health, Welldoc, Twin Health, DarioHealth, Sidekick Health, Yidu Tech
概観
Scope of the Report
The global Digital Therapy for Obesity market size is predicted to grow from US$ 856 million in 2025 to US$ 3,301 million in 2032; it is expected to grow at a CAGR of 21.5% from 2026 to 2032.
Digital obesity therapy refers to digital healthcare products that utilize software programs, mobile applications, artificial intelligence algorithms, digital behavioral interventions, wearable devices, telemedicine, and data analytics to provide clinically validated prevention, treatment, and long-term weight management interventions for overweight and obese individuals. Its core is not simply providing health management or dietary records, but rather changing patient behavior patterns through evidence-based medicine methods. This includes diet control, exercise management, cognitive behavioral therapy (CBT), psychological support, metabolic indicator monitoring, and personalized health guidance, thereby achieving weight loss, improved body fat percentage, reduced risk of obesity-related diseases, and long-term weight maintenance. Digital obesity therapy is typically delivered in the form of smartphone apps, web platforms, AI health assistants, digital coaches, and telemedicine platforms. It can be used alone for lifestyle interventions or in combination with GLP-1 weight loss drugs and traditional medical treatments to form a comprehensive digital obesity management system.
Digital obesity therapy, as an innovative intervention integrating software programs and evidence-based medicine, is demonstrating enormous potential to reshape the landscape of obesity management. It effectively overcomes the core bottlenecks of traditional lifestyle interventions, namely low patient adherence and insufficient personalization. By integrating technologies such as artificial intelligence, wearable devices, and remote monitoring, it achieves precise tracking of energy intake and expenditure, as well as real-time behavioral guidance. Although current research suggests that its overall weight loss effect requires higher adherence and faces challenges such as data security and long-term effectiveness, clinical evidence has shown that highly adherent users can achieve significant and clinically meaningful weight loss. With the deep integration of artificial intelligence technology and the continuous advancement of clinical validation, this type of digital therapy, which combines accessibility, personalization, and low cost, is expected to become a key complementary strategy in combating the global obesity epidemic, driving the transformation of weight management from traditional diagnosis and treatment to a continuous and precise digital care model.
This report presents a comprehensive overview of the global Digital Therapy for Obesity market, covering market size and forecast, segmentation by product type and application, competitive landscape, leading players and regional and country-level outlook.
Segment by Type
- Behavior-Change Digital Therapeutics
- AI-Personalized Weight Loss Digital Therapeutics
- Medication-Assisted Digital Therapeutics for Obesity
- Others
Segment by Business Models
- B2C
- B2B
- B2B2C
Segment by players, this report covers
- Boli Care
- Click Therapeutics
- Oviva
- Liva Healthcare
- Noom
- Omada Health
- Welldoc
- Twin Health
- DarioHealth
- Sidekick Health
- Yidu Tech
Segment by Application
- Adult Obesity Management
- Childhood and Adolescent Obesity Management
- Management of Obesity with Comorbid Metabolic Diseases
- Others
Who Can Use This Report?
This report is written for decision-makers who need a clear, data-backed view of the global Digital Therapy for Obesity market:
- Manufacturers, suppliers and solution providers benchmarking their position and planning product, capacity and go-to-market strategy
- Distributors, channel partners and end users in Adult Obesity Management, Childhood and Adolescent Obesity Management, Management of Obesity with Comorbid Metabolic Diseases evaluating demand and sourcing options
- Investors, financial analysts and consultants assessing growth opportunities, competitive dynamics and M&A potential
- Government agencies, industry associations and research institutions tracking industry developments and policy impact
Market snapshot
Global Digital Therapy for Obesity Market Strategic Research Report snapshot, 2025–2032
© MarketResearchReports.comDisclaimer: The actual data may vary in the final report which undergoes verification check post order confirmation.Segments covered in this report
Table of contents
01Executive Summary
02Industry Overview & Forecast
- 2.1.1 Market Definition and Scope
- 2.1.2 Market Size and Growth Forecast
- 2.1.3 Volume Analysis
- 2.1.4 Segment Outlook by Type
- 2.1.5 Segment Outlook by Application
- 2.1.6 Regional Outlook
- 2.1.7 Structural Developments Shaping the Forecast
- 2.1.8 Forecast Risks and Sensitivities
03Market Segmentation by Type
- 3.1 Market Segmentation by Type
- 3.1.1 Market by Type Overview
- 3.1.2 Behavior-Change Digital Therapeutics
- 3.1.3 AI-Personalized Weight Loss Digital Therapeutics
- 3.1.4 Medication-Assisted Digital Therapeutics for Obesity
- 3.1.5 Others
- 3.1.6 Volume Analysis
04Market Segmentation by Application
- 4.1 Market Segmentation by Application
- 4.1.1 Market by Application Overview
- 4.1.2 Adult Obesity Management
- 4.1.3 Childhood and Adolescent Obesity Management
- 4.1.4 Management of Obesity with Comorbid Metabolic Diseases
- 4.1.5 Others
- 4.1.6 Volume Analysis
05Regional Market Forecast
- Asia Pacific
- North America
- Europe
- Middle East & Africa
- Latin America
06Country-Level Market Forecast
- 6.1 Asia Pacific
- 6.1.1 China
- 6.1.2 Japan
- 6.1.3 Korea
- 6.1.4 Southeast Asia
- 6.1.5 India
- 6.1.6 Australia
- 6.1.7 Rest of Asia Pacific
- 6.2 North America
- 6.2.1 United States
- 6.2.2 Canada
- 6.2.3 Mexico
- 6.2.4 Rest of North America
- 6.3 Europe
- 6.3.1 Germany
- 6.3.2 France
- 6.3.3 UK
- 6.3.4 Italy
- 6.3.5 Russia
- 6.3.6 Rest of Europe
- 6.4 Middle East & Africa
- 6.4.1 Egypt
- 6.4.2 South Africa
- 6.4.3 Israel
- 6.4.4 Turkey
- 6.4.5 GCC Countries
- 6.4.6 Rest of Middle East & Africa
- 6.5 Latin America
- 6.5.1 Brazil
- 6.5.2 Rest of Latin America
07Growth Drivers & Inhibitors
- 7.1 Growth Drivers & Inhibitors
- 7.1.1 Section Overview
- 7.1.2 Growth Drivers
- 7.1.3 Growth Inhibitors
- 7.1.4 Driver and Inhibitor Impact Assessment
- 7.1.5 Analyst Perspective
08Key Company Profiles
- 8.1 Boli Care
- 8.1.1 Company Overview
- 8.1.2 Key Products & Segments
- 8.1.3 Financial Performance (2023–2025)
- 8.1.4 Business Strategy
- 8.1.5 SWOT Analysis
- 8.1.6 Strategic Implications (2026–2032)
- 8.2 Click Therapeutics
- 8.2.1 Company Overview
- 8.2.2 Key Products & Segments
- 8.2.3 Financial Performance (2023–2025)
- 8.2.4 Business Strategy
- 8.2.5 SWOT Analysis
- 8.2.6 Strategic Implications (2026–2032)
- 8.3 Oviva
- 8.3.1 Company Overview
- 8.3.2 Key Products & Segments
- 8.3.3 Financial Performance (2023–2025)
- 8.3.4 Business Strategy
- 8.3.5 SWOT Analysis
- 8.3.6 Strategic Implications (2026–2032)
- 8.4 Liva Healthcare
- 8.4.1 Company Overview
- 8.4.2 Key Products & Segments
- 8.4.3 Financial Performance (2023–2025)
- 8.4.4 Business Strategy
- 8.4.5 SWOT Analysis
- 8.4.6 Strategic Implications (2026–2032)
- 8.5 Noom
- 8.5.1 Company Overview
- 8.5.2 Key Products & Segments
- 8.5.3 Financial Performance (2023–2025)
- 8.5.4 Business Strategy
- 8.5.5 SWOT Analysis
- 8.5.6 Strategic Implications (2026–2032)
- 8.6 Omada Health
- 8.6.1 Company Overview
- 8.6.2 Key Products & Segments
- 8.6.3 Financial Performance (2023–2025)
- 8.6.4 Business Strategy
- 8.6.5 SWOT Analysis
- 8.6.6 Strategic Implications (2026–2032)
- 8.7 Welldoc
- 8.7.1 Company Overview
- 8.7.2 Key Products & Segments
- 8.7.3 Financial Performance (2023–2025)
- 8.7.4 Business Strategy
- 8.7.5 SWOT Analysis
- 8.7.6 Strategic Implications (2026–2032)
- 8.8 Twin Health
- 8.8.1 Company Overview
- 8.8.2 Key Products & Segments
- 8.8.3 Financial Performance (2023–2025)
- 8.8.4 Business Strategy
- 8.8.5 SWOT Analysis
- 8.8.6 Strategic Implications (2026–2032)
- 8.9 DarioHealth
- 8.9.1 Company Overview
- 8.9.2 Key Products & Segments
- 8.9.3 Financial Performance (2023–2025)
- 8.9.4 Business Strategy
- 8.9.5 SWOT Analysis
- 8.9.6 Strategic Implications (2026–2032)
- 8.10 Sidekick Health
- 8.10.1 Company Overview
- 8.10.2 Key Products & Segments
- 8.10.3 Financial Performance (2023–2025)
- 8.10.4 Business Strategy
- 8.10.5 SWOT Analysis
- 8.10.6 Strategic Implications (2026–2032)
- 8.11 Yidu Tech
- 8.11.1 Company Overview
- 8.11.2 Key Products & Segments
- 8.11.3 Financial Performance (2023–2025)
- 8.11.4 Business Strategy
- 8.11.5 SWOT Analysis
- 8.11.6 Strategic Implications (2026–2032)
09Competitive Landscape
- 9.1 Competitive Landscape Overview
- 9.2 Competitive Intensity Assessment
- 9.3 Key Player Strategies & Positioning
- 9.4 Competitive Dynamics & Strategic Outlook
- 9.4.1 Emerging Competitive Threats
- 9.4.2 Consolidation vs. Fragmentation Outlook
- 9.4.3 Competitive Response Matrix
- 9.4.4 Strategic Recommendations, 2026–2032
10Porter's Five Forces Analysis
- 10.1 Threat of New Entrants
- 10.2 Bargaining Power of Buyers
- 10.3 Bargaining Power of Suppliers
- 10.4 Threat of Substitutes
- 10.5 Competitive Rivalry
11PESTLE Analysis
- 11.1 Political
- 11.2 Economic
- 11.3 Social and Demographic
- 11.4 Technological
- 11.5 Legal and Regulatory
- 11.6 Environmental
- 11.7 Strategic Implications of the PESTLE Assessment
12SWOT Analysis
13Future Trends & Outlook
- 13.1 Future Trends & Outlook
- 13.1.1 Trend Summary and Commercial Maturity Assessment
- 13.1.2 Technology and Innovation Trends
- 13.1.3 Long-Term Market Outlook
- 13.1.4 Investment & M&A Activity Outlook
- 13.1.5 Overall Outlook Assessment
Frequently asked questions
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Company profiles built from public financial disclosures, product launches, M&A activity, job postings (as capability proxies), and supply chain mapping. Market share estimates triangulated across revenue, capacity, and shipment data.
CAGR projections use time-series regression on 5-10 years of historical data, adjusted for identified demand drivers (technology adoption curves, regulatory catalysts, demographic shifts) and demand inhibitors (cost barriers, substitution risk). Scenario modeling covers base, optimistic, and conservative cases.
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