As per Intent Market Research, the Digital Health for Obesity Market was valued at USD 43.8 billion in 2023 and will surpass USD 186.0 billion by 2030; growing at a CAGR of 22.9% during 2024 - 2030.
The Digital Health for Obesity market is transforming the way individuals manage their weight and overall health. With the rise of obesity globally, the need for innovative solutions to combat this issue has intensified. Digital health tools, such as wearable devices, mobile apps, and telemedicine solutions, are increasingly being adopted to help individuals track, manage, and improve their health and lifestyle. These technologies enable personalized interventions, real-time monitoring, and behavioral modifications, leading to more effective weight management strategies. The market is evolving rapidly due to advances in technology, growing awareness of health issues, and increasing investments in healthcare innovation.
Wearable Devices Segment is Largest Owing to Growing Adoption of Fitness Trackers
Wearable devices have become the largest segment in the Digital Health for Obesity market due to their widespread adoption and ability to offer continuous monitoring of key health metrics. Devices such as fitness trackers and smartwatches can track physical activity, calories burned, heart rate, sleep patterns, and even provide notifications and reminders to help users stay on track with their weight management goals. These devices offer real-time feedback, which encourages individuals to make lifestyle changes, fostering more consistent and sustainable weight loss outcomes. The market for wearable devices is expected to grow significantly as consumers seek more efficient ways to manage their health, particularly in light of rising obesity rates.
Artificial Intelligence (AI) Segment is Fastest Growing Owing to Personalized Weight Management
Artificial Intelligence (AI) is the fastest growing technology in the Digital Health for Obesity market, driven by its ability to offer personalized and adaptive weight management solutions. AI-powered applications can analyze vast amounts of data from various sources such as wearable devices, mobile apps, and health records to provide tailored recommendations. These systems can predict individual behaviors, optimize workout plans, and even suggest dietary changes based on real-time data. The increasing use of AI in developing personalized health strategies enables individuals to receive more accurate, data-driven guidance, accelerating the adoption of AI in obesity management solutions. AI’s ability to continuously learn and adapt to individual needs makes it an indispensable tool for long-term weight management.
Weight Loss Management Application is Largest Owing to Demand for Effective Solutions
Weight loss management is the largest application in the Digital Health for Obesity market, as it directly addresses the core issue of obesity—excess weight—and aims to reduce it through a combination of lifestyle changes, exercise, and diet modification. Mobile apps, wearable devices, and telemedicine solutions designed specifically for weight loss provide users with personalized plans, real-time data tracking, and behavioral coaching. The growing demand for weight loss solutions, coupled with increasing awareness of the health risks associated with obesity, drives the demand for these applications. As more individuals seek sustainable and effective weight loss solutions, the weight loss management application segment continues to dominate the market.
Healthcare Providers Segment is Largest Owing to Increased Adoption of Digital Solutions
Healthcare providers are the largest end-user segment in the Digital Health for Obesity market due to their critical role in diagnosing, treating, and managing obesity. Hospitals, clinics, and healthcare organizations have increasingly adopted digital health solutions to support obesity treatment, especially as remote care and telemedicine grow in popularity. Telemedicine solutions, mobile apps, and digital platforms allow healthcare providers to extend their reach and offer continuous support to patients. This integration of digital health tools enables better patient monitoring, improved clinical outcomes, and more cost-effective treatments. The increased reliance on digital health by healthcare providers to manage obesity and related comorbidities further solidifies this segment's dominance in the market.
North America Region is Largest Owing to High Obesity Rates and Technological Advancements
North America is the largest region in the Digital Health for Obesity market, driven by high obesity rates and the widespread adoption of advanced healthcare technologies. The United States, in particular, has one of the highest obesity rates in the world, leading to increased demand for digital health solutions tailored to weight management. The presence of key players in the region, along with robust healthcare infrastructure and high consumer spending on health and fitness, further fuels the market's growth. Additionally, the North American market benefits from technological advancements, such as AI and machine learning, which continue to improve the effectiveness of digital health tools for obesity management. With increasing healthcare investments and government initiatives aimed at tackling obesity, North America is expected to maintain its leadership position in the global market.
Leading Companies and Competitive Landscape
The Digital Health for Obesity market is highly competitive, with several key players offering innovative solutions to meet the growing demand for obesity management. Leading companies such as Noom, Omada Health, Fitbit, and Apple are at the forefront of this market, offering a range of products, including mobile apps, wearable devices, and telemedicine services. These companies focus on delivering personalized health insights, improving user engagement, and integrating advanced technologies like AI and machine learning to enhance their offerings. Additionally, partnerships and collaborations between technology companies, healthcare providers, and fitness organizations are becoming increasingly common to expand the market reach and improve product offerings. The competitive landscape is expected to intensify as more companies enter the market and innovate with new solutions aimed at addressing the global obesity epidemic.
Recent Developments:
List of Leading Companies:
Report Scope:
Report Features |
Description |
Market Size (2023) |
USD 43.8 Billion |
Forecasted Value (2030) |
USD 186.0 Billion |
CAGR (2024 – 2030) |
22.9% |
Base Year for Estimation |
2023 |
Historic Year |
2022 |
Forecast Period |
2024 – 2030 |
Report Coverage |
Market Forecast, Market Dynamics, Competitive Landscape, Recent Developments |
Segments Covered |
Digital Health for Obesity Market By Product Type (Wearable Devices, Mobile Health Apps, Telemedicine Solutions, Online Weight Management Programs), By Technology (Artificial Intelligence (AI), Machine Learning (ML), Big Data Analytics, Cloud Computing), By Application (Weight Loss Management, Physical Activity Monitoring, Diet & Nutrition Management, Behavioral Therapy & Psychological Support, Health Monitoring & Tracking), By End-User (Individuals, Healthcare Providers, Fitness Centers & Wellness Clinics, Employers & Organizations, Insurance Providers) |
Regional Analysis |
North America (US, Canada, Mexico), Europe (Germany, France, UK, Italy, Spain, and Rest of Europe), Asia-Pacific (China, Japan, South Korea, Australia, India, and Rest of Asia-Pacific), Latin America (Brazil, Argentina, and Rest of Latin America), Middle East & Africa (Saudi Arabia, UAE, Rest of Middle East & Africa) |
Major Companies |
Noom, Inc., Omada Health, Inc., Fitbit Inc., Weight Watchers International, Inc., Apple Inc., Philips Healthcare, Medtronic Plc, Samsung Electronics Co., Ltd., Livongo Health, Inc. (a Teladoc Health Company), MyFitnessPal, Inc., Jawbone Health, Dexcom, Inc., Pear Therapeutics, Omron Healthcare, Inc., Nutrisystem, Inc. |
Customization Scope |
Customization for segments, region/country-level will be provided. Moreover, additional customization can be done based on the requirements |
1. Introduction |
1.1. Market Definition |
1.2. Scope of the Study |
1.3. Research Assumptions |
1.4. Study Limitations |
2. Research Methodology |
2.1. Research Approach |
2.1.1. Top-Down Method |
2.1.2. Bottom-Up Method |
2.1.3. Factor Impact Analysis |
2.2. Insights & Data Collection Process |
2.2.1. Secondary Research |
2.2.2. Primary Research |
2.3. Data Mining Process |
2.3.1. Data Analysis |
2.3.2. Data Validation and Revalidation |
2.3.3. Data Triangulation |
3. Executive Summary |
3.1. Major Markets & Segments |
3.2. Highest Growing Regions and Respective Countries |
3.3. Impact of Growth Drivers & Inhibitors |
3.4. Regulatory Overview by Country |
4. Digital Health for Obesity Market, by Product Type (Market Size & Forecast: USD Million, 2022 – 2030) |
4.1. Wearable Devices |
4.2. Mobile Health Apps |
4.3. Telemedicine Solutions |
4.4. Online Weight Management Programs |
5. Digital Health for Obesity Market, by Technology (Market Size & Forecast: USD Million, 2022 – 2030) |
5.1. Artificial Intelligence (AI) |
5.2. Machine Learning (ML) |
5.3. Big Data Analytics |
5.4. Cloud Computing |
6. Digital Health for Obesity Market, by Application (Market Size & Forecast: USD Million, 2022 – 2030) |
6.1. Weight Loss Management |
6.2. Physical Activity Monitoring |
6.3. Diet & Nutrition Management |
6.4. Behavioral Therapy & Psychological Support |
6.5. Health Monitoring & Tracking |
7. Digital Health for Obesity Market, by End-User (Market Size & Forecast: USD Million, 2022 – 2030) |
7.1. Individuals |
7.2. Healthcare Providers |
7.3. Fitness Centers & Wellness Clinics |
7.4. Employers & Organizations |
7.5. Insurance Providers |
8. Regional Analysis (Market Size & Forecast: USD Million, 2022 – 2030) |
8.1. Regional Overview |
8.2. North America |
8.2.1. Regional Trends & Growth Drivers |
8.2.2. Barriers & Challenges |
8.2.3. Opportunities |
8.2.4. Factor Impact Analysis |
8.2.5. Technology Trends |
8.2.6. North America Digital Health for Obesity Market, by Product Type |
8.2.7. North America Digital Health for Obesity Market, by Technology |
8.2.8. North America Digital Health for Obesity Market, by Application |
8.2.9. North America Digital Health for Obesity Market, by End-User |
8.2.10. By Country |
8.2.10.1. US |
8.2.10.1.1. US Digital Health for Obesity Market, by Product Type |
8.2.10.1.2. US Digital Health for Obesity Market, by Technology |
8.2.10.1.3. US Digital Health for Obesity Market, by Application |
8.2.10.1.4. US Digital Health for Obesity Market, by End-User |
8.2.10.2. Canada |
8.2.10.3. Mexico |
*Similar segmentation will be provided for each region and country |
8.3. Europe |
8.4. Asia-Pacific |
8.5. Latin America |
8.6. Middle East & Africa |
9. Competitive Landscape |
9.1. Overview of the Key Players |
9.2. Competitive Ecosystem |
9.2.1. Level of Fragmentation |
9.2.2. Market Consolidation |
9.2.3. Product Innovation |
9.3. Company Share Analysis |
9.4. Company Benchmarking Matrix |
9.4.1. Strategic Overview |
9.4.2. Product Innovations |
9.5. Start-up Ecosystem |
9.6. Strategic Competitive Insights/ Customer Imperatives |
9.7. ESG Matrix/ Sustainability Matrix |
9.8. Manufacturing Network |
9.8.1. Locations |
9.8.2. Supply Chain and Logistics |
9.8.3. Product Flexibility/Customization |
9.8.4. Digital Transformation and Connectivity |
9.8.5. Environmental and Regulatory Compliance |
9.9. Technology Readiness Level Matrix |
9.10. Technology Maturity Curve |
9.11. Buying Criteria |
10. Company Profiles |
10.1. Noom, Inc. |
10.1.1. Company Overview |
10.1.2. Company Financials |
10.1.3. Product/Service Portfolio |
10.1.4. Recent Developments |
10.1.5. IMR Analysis |
*Similar information will be provided for other companies |
10.2. Omada Health, Inc. |
10.3. Fitbit Inc. |
10.4. Weight Watchers International, Inc. |
10.5. Apple Inc. |
10.6. Philips Healthcare |
10.7. Medtronic Plc |
10.8. Samsung Electronics Co., Ltd. |
10.9. Livongo Health, Inc. (a Teladoc Health Company) |
10.10. MyFitnessPal, Inc. |
10.11. Jawbone Health |
10.12. Dexcom, Inc. |
10.13. Pear Therapeutics |
10.14. Omron Healthcare, Inc. |
10.15. Nutrisystem, Inc. |
11. Appendix |
A comprehensive market research approach was employed to gather and analyze data on the Digital Health for Obesity Market. In the process, the analysis was also done to analyze the parent market and relevant adjacencies to measure the impact of them on the Digital Health for Obesity Market. The research methodology encompassed both secondary and primary research techniques, ensuring the accuracy and credibility of the findings.
Secondary research involved a thorough review of pertinent industry reports, journals, articles, and publications. Additionally, annual reports, press releases, and investor presentations of industry players were scrutinized to gain insights into their market positioning and strategies.
Primary research involved conducting in-depth interviews with industry experts, stakeholders, and market participants across the E-Waste Management ecosystem. The primary research objectives included:
A combination of top-down and bottom-up approaches was utilized to analyze the overall size of the Digital Health for Obesity Market. These methods were also employed to assess the size of various subsegments within the market. The market size assessment methodology encompassed the following steps:
To ensure the accuracy and reliability of the market size, data triangulation was implemented. This involved cross-referencing data from various sources, including demand and supply side factors, market trends, and expert opinions. Additionally, top-down and bottom-up approaches were employed to validate the market size assessment.