Digital Health for Obesity Market Size & Share 2025 – 2034
Market Size by Component, by End Use, Global Forecast.
Download Free PDF
Market Size by Component, by End Use, Global Forecast.
Download Free PDF
Starting at: $2,450
Base Year: 2024
Companies Profiled: 13
Tables & Figures: 115
Countries Covered: 19
Pages: 133
Download Free PDF
Digital Health for Obesity Market
Get a free sample of this report
Digital Health for Obesity Market Size
The global digital health for obesity market size was valued at USD 59.4 billion in 2024 and is estimated to grow at a CAGR of 22.1% from 2025 to 2034. The global rise in obesity is expected to flourish market growth in coming years, additionally growing advancements in artificial intelligence (AI) and dataset analytics aimed at personalizing interventions for effectively.
Digital Health for Obesity Market Key Takeaways
Market Size & Growth
Key Market Drivers
Challenges
For instance, estimates from the NCD Risk Factor Collaboration (NCD-RisC) reported that over 1 billion individuals are overweight, including 880 million adults (504 million women and 374 million men). Also affected are about 159 million adolescents and children 5-19 years old. This occurrence is sufficient to flag the pressing requirement for weight loss and obesity management solutions and preventive strategies, which in 2023, was valued at about USD 232.4 billion, and is likely to increase the market demand.
AI-powered virtual solutions make it easier too, as they can have access to wearables, mobile phones, and health records to design individualized diet and exercise regimes as well as behavior change protocols suitable for that patient’s health. Such technologies can also serve a dual purpose of predictive modeling analytics along with the users and healthcare professionals to assess an individual’s progress and make necessary modifications to their obesity risk factors. Furthermore, this type of custom-tailored therapy underscores the success of all weight loss methodologies, supplementing medical specialists with informed commentary. In tandem with data analytics and the expansion of AI, the need for technology-driven platforms aimed at countering obesity in the digital healthcare market for obesity is anticipated to rapidly increase.
The digital health of obesity includes the prevention, management, and therapy of obesity using technological solutions. It includes mobile applications, digital devices, telemedicine, medical AI systems, and devices that help in controlling weight and watching health parameters remotely. These systems facilitate improved engagement, behavior change and enhanced outcomes for individuals with obesity.
Digital Health for Obesity Market Trends
The rapid growth of the mHealth sector and the use of digital wearable devices is one of the leading factors for spurring the demand for digital health in obesity. They allow for real-time measurement and monitoring of essential parameters such as physical activity, calorie intake, heart rates, and sleep patterns, thereby providing self-monitoring feedback.
Digital Health for Obesity Market Analysis
Based on component, the global market is segmented into software, hardware, and services. The services segment dominated the market and was valued at USD 22.9 billion in 2024.
Based on the end use, the global digital health for obesity market is segmented into patients, providers, payers, and other end-users. The patients segment leads the market with the highest market share of 48.8% in 2024.
In 2024, the U.S. held a significant position in the North American digital health for obesity market and projected to dominate throughout the forecast period with a CAGR of 21.8%.
The digital health for obesity market in Germany is projected to grow at a significant rate in the coming years.
China held a prominent position in the Asia-Pacific digital health for obesity market during the analysis period.
The digital health for obesity market in Brazil is anticipated to witness high growth over the analysis timeframe in Latin America.
Saudi Arabia is expected to experience significant growth in the Middle East and Africa digital health for obesity market.
Digital Health for Obesity Market Share
The market consists of established healthcare providers and newly emerging technology firms. Major market players are concentrating on mobile applications, wearable devices, telemedicine, and other AI-based tools for personalized health management. New entrants are increasingly active in offering integrated and scalable programs for weight management. The growing competition is being driven by new players that leverage technology to enhance user engagement, integration with health care systems, and obesity management results in different regions.
Digital Health for Obesity Market Companies
Few of the prominent players operating in the digital health for obesity industry include:
USP’s for the top market players
Digital Health for Obesity Industry News
The digital health for obesity market research report includes in-depth coverage of the industry with estimates and forecast in terms of revenue in USD Million from 2021 – 2034 for the following segments:
Click here to Buy Section of this Report
Market, By Component
Market, By End Use
The above information is provided for the following regions and countries:
Research methodology, data sources & validation process
This report draws on a structured research process built around direct industry conversations, proprietary modelling, and rigorous cross-validation and not just desk research.
Our 6-step research process
1. Research design & analyst oversight
At GMI, our research methodology is built on a foundation of human expertise, rigorous validation, and complete transparency. Every insight, trend analysis, and forecast in our reports is developed by experienced analysts who understand the nuances of your market.
Our approach integrates extensive primary research through direct engagement with industry participants and experts, complemented by comprehensive secondary research from verified global sources. We apply quantified impact analysis to deliver dependable forecasts, while maintaining complete traceability from original data sources to final insights.
2. Primary research
Primary research forms the backbone of our methodology, contributing nearly 80% to overall insights. It involves direct engagement with industry participants to ensure accuracy and depth in analysis. Our structured interview program covers regional and global markets, with inputs from C-suite executives, directors, and subject matter experts. These interactions provide strategic, operational, and technical perspectives, enabling well-rounded insights and reliable market forecasts.
3. Data mining & market analysis
Data mining is a key part of our research process, contributing nearly 20% to the overall methodology. It involves analysing market structure, identifying industry trends, and assessing macroeconomic factors through revenue share analysis of major players. Relevant data is collected from both paid and unpaid sources to build a reliable database. This information is then integrated to support primary research and market sizing, with validation from key stakeholders such as distributors, manufacturers, and associations.
4. Market sizing
Our market sizing is built on a bottom-up approach, starting with company revenue data gathered directly through primary interviews, alongside production volume figures from manufacturers and installation or deployment statistics. These inputs are then pieced together across regional markets to arrive at a global estimate that stays grounded in actual industry activity.
5. Forecast model & key assumptions
Every forecast includes explicit documentation of:
✓ Key growth drivers and their assumed impact
✓ Restraining factors and mitigation scenarios
✓ Regulatory assumptions and policy change risk
✓ Technology adoption curve parameter
✓ Macroeconomic assumptions (GDP growth, inflation, currency)
✓ Competitive dynamics and market entry/exit expectations
6. Validation & quality assurance
The final stages involve human validation, where domain experts manually review filtered data to identify nuances and contextual errors that automated systems might miss. This expert review adds a critical layer of quality assurance, ensuring data aligns with research objectives and domain-specific standards.
Our triple-layer validation process ensures maximum data reliability:
✓ Statistical Validation
✓ Expert Validation
✓ Market Reality Check
Trust & credibility
Verified data sources
Trade publications
Security & defense sector journals and trade press
Industry databases
Proprietary and third-party market databases
Regulatory filings
Government procurement records and policy documents
Academic research
University studies and specialist institution reports
Company reports
Annual reports, investor presentations, and filings
Expert interviews
C-suite, procurement leads, and technical specialists
GMI archive
13,000+ published studies across 30+ industry verticals
Trade data
Import/export volumes, HS codes, and customs records
Parameters studied & evaluated
Every data point in this report is validated through primary interviews, true bottom-up modelling, and rigorous cross-checks. Read about our research process →