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