PUBLISHER: Global Industry Analysts, Inc. | PRODUCT CODE: 1786433
PUBLISHER: Global Industry Analysts, Inc. | PRODUCT CODE: 1786433
Global Digital Health for Obesity Market to Reach US$168.7 Billion by 2030
The global market for Digital Health for Obesity estimated at US$56.5 Billion in the year 2024, is expected to reach US$168.7 Billion by 2030, growing at a CAGR of 20.0% over the analysis period 2024-2030. Software Component, one of the segments analyzed in the report, is expected to record a 17.7% CAGR and reach US$87.4 Billion by the end of the analysis period. Growth in the Hardware Component segment is estimated at 23.4% CAGR over the analysis period.
The U.S. Market is Estimated at US$15.4 Billion While China is Forecast to Grow at 26.6% CAGR
The Digital Health for Obesity market in the U.S. is estimated at US$15.4 Billion in the year 2024. China, the world's second largest economy, is forecast to reach a projected market size of US$39.0 Billion by the year 2030 trailing a CAGR of 26.6% over the analysis period 2024-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 16.2% and 17.7% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 16.7% CAGR.
The global obesity crisis is being addressed through the rapid adoption of AI-powered digital health solutions that offer personalized weight management programs. Traditional weight loss approaches often fail due to a lack of personalization, accountability, and long-term behavioral support. Digital health applications are now integrating AI-driven meal planning, metabolic tracking, and behavioral coaching to create adaptive weight loss programs tailored to individual needs. AI algorithms analyze users’ dietary habits, physical activity levels, and metabolic responses to provide customized nutrition and fitness recommendations. Additionally, digital coaching platforms such as Noom and Lark use AI-powered chatbots to provide real-time motivation and adherence support. While these solutions enhance accessibility and personalization, concerns regarding the accuracy of AI-driven recommendations and the long-term sustainability of digital weight management strategies remain. Nevertheless, as AI-driven health coaching continues to advance, it is expected to play a critical role in combating obesity, reducing healthcare costs, and improving public health outcomes.
The integration of remote monitoring tools in obesity management is significantly improving patient outcomes by enabling continuous tracking of vital health metrics such as weight fluctuations, calorie intake, and physical activity levels. Wearable fitness trackers and smart scales connected to mobile applications allow users to monitor their progress in real-time, promoting adherence to weight loss programs. Continuous glucose monitoring (CGM) technology is also emerging as a key component of personalized obesity management, providing insights into how different foods affect blood sugar levels and metabolic responses. Telehealth services are further enhancing access to obesity care by connecting patients with nutritionists, endocrinologists, and behavioral therapists remotely. However, while remote monitoring solutions provide valuable data-driven insights, challenges such as user engagement retention, data privacy, and device affordability still need to be addressed. As technology improves and remote health monitoring becomes more seamless, digital solutions for obesity management are expected to become increasingly effective, paving the way for more sustainable weight loss outcomes.
Digital therapeutics (DTx) are emerging as an evidence-based approach to treating obesity by addressing behavioral, psychological, and physiological factors contributing to weight gain. Unlike traditional diet apps, DTx solutions are clinically validated and designed to provide structured interventions for weight loss, often incorporating behavioral modification techniques such as cognitive behavioral therapy (CBT) and habit-tracking algorithms. AI-powered metabolic health platforms, such as Virta Health, use continuous patient data to optimize dietary interventions, improving long-term weight loss success rates. Additionally, virtual coaching programs and mobile-based interventions are being integrated with weight-loss medications to enhance adherence and improve efficacy. Despite the potential of DTx in obesity management, regulatory approvals, reimbursement policies, and long-term efficacy studies remain key hurdles. However, as more clinical evidence supports the effectiveness of digital obesity treatments, adoption is expected to grow, leading to a paradigm shift in obesity care.
The growth in the digital health for obesity market is driven by several key factors, including increasing obesity prevalence, rising healthcare costs, and advancements in AI-driven weight management solutions. The adoption of wearable health devices and mobile health applications is making personalized weight management more accessible and scalable. The expansion of telehealth services and virtual coaching programs is improving patient engagement, reducing the need for in-person consultations. The integration of AI, behavioral science, and data analytics is enabling more effective, individualized weight-loss interventions. Regulatory support for digital therapeutics and increasing insurance coverage for digital weight management programs are further driving market adoption. Additionally, growing investment in digital health startups specializing in metabolic health is accelerating innovation in obesity care. As obesity rates continue to rise globally, digital health solutions are expected to play a crucial role in providing cost-effective, scalable, and evidence-based interventions for sustainable weight management.
SCOPE OF STUDY:
The report analyzes the Digital Health for Obesity market in terms of units by the following Segments, and Geographic Regions/Countries:
Segments:
Component (Software Component, Hardware Component, Services); End-Use (Patients End-Use, Providers End-Use, Payers End-Use, Other End-Uses)
Geographic Regions/Countries:
World; United States; Canada; Japan; China; Europe (France; Germany; Italy; United Kingdom; Spain; Russia; and Rest of Europe); Asia-Pacific (Australia; India; South Korea; and Rest of Asia-Pacific); Latin America (Argentina; Brazil; Mexico; and Rest of Latin America); Middle East (Iran; Israel; Saudi Arabia; United Arab Emirates; and Rest of Middle East); and Africa.
Select Competitors (Total 41 Featured) -
AI INTEGRATIONS
We're transforming market and competitive intelligence with validated expert content and AI tools.
Instead of following the general norm of querying LLMs and Industry-specific SLMs, we built repositories of content curated from domain experts worldwide including video transcripts, blogs, search engines research, and massive amounts of enterprise, product/service, and market data.
TARIFF IMPACT FACTOR
Our new release incorporates impact of tariffs on geographical markets as we predict a shift in competitiveness of companies based on HQ country, manufacturing base, exports and imports (finished goods and OEM). This intricate and multifaceted market reality will impact competitors by increasing the Cost of Goods Sold (COGS), reducing profitability, reconfiguring supply chains, amongst other micro and macro market dynamics.