肥胖數位健康市場機會、成長動力、產業趨勢分析與 2025 - 2034 年預測

Digital Health for Obesity Market Opportunity, Growth Drivers, Industry Trend Analysis, and Forecast 2025 - 2034

出版日期: 2024年12月05日 | 出版商:

Global Market Insights Inc. | 英文 133 Pages | 商品交期: 2-3個工作天內

價格

簡介目錄

2024 年全球肥胖數位健康市場價值為 594 億美元，預計 2025 年至 2034 年期間複合年成長率將達到驚人的 22.1%。這一快速擴張的推動因素是全球肥胖患病率的上升以及人工智慧和資料分析等尖端技術的日益普及，這些技術通過個性化和有效的解決方案徹底改變了體重管理。

全球市場分為軟體、硬體和服務，其中服務業佔據主導地位。 2024 年，服務業佔據主導地位，價值達 229 億美元。它的突出地位源於它能夠提供全面的支持，包括個人化諮詢、遠端監控和為管理肥胖等健康狀況的個人提供持續指導。透過彌合技術與病患照護之間的差距，服務可確保提供客製化的建議和持續的使用者參與，使其成為數位健康生態系統中不可或缺的一部分。

市場範圍
起始年份	2024
預測年份	2025-2034
起始值	594億美元
預測值	4412億美元
複合年成長率	22.1％

根據最終用途，市場分為患者、提供者、付款人和其他最終用戶，其中患者細分市場在 2024 年佔據最大的市場佔有率，為 48.8%。患者是數位健康工具的主要用戶，他們利用行動應用程式、穿戴式裝置和其他技術來有效監測和管理肥胖。人們對健康意識的不斷增強，加上自我管理的輕鬆和便捷，進一步推動了個人採用數位健康解決方案。

美國肥胖數位健康市場預計將在 2032 年之前保持主導地位，複合年成長率高達 21.8%。這種領導地位得益於由科技公司、醫療保健提供者和研究機構組成的強大生態系統，它們推動數位健康解決方案的創新。此外，美國肥胖症和相關慢性病的盛行率上升也增加了對有效管理工具的需求，包括行動應用程式、穿戴式裝置和遠距醫療平台。

產業生態系統分析
產業衝擊力
- 成長動力
  - 肥胖盛行率上升
  - 行動醫療和穿戴式裝置的普及率不斷提高
  - 遠距醫療和遠端監控的進展
  - 提高對預防保健的認知和關注
- 產業陷阱與挑戰
  - 資料隱私和安全問題
  - 數位化意識和可訪問性較低
成長潛力分析
監管格局
科技趨勢
波特的分析
PESTEL 分析

第4章：競爭格局

介紹
公司市佔率分析
公司矩陣分析
主要市場參與者的競爭分析
競爭定位矩陣
策略儀表板

第 5 章：市場估計與預測：按組件，2021 年至 2034 年

主要趨勢
軟體
硬體
服務

第 6 章：市場估計與預測：依最終用途，2021 年至 2034 年

主要趨勢
患者
提供者
付款人
其他最終用途

第 7 章：市場估計與預測：按地區，2021 年至 2034 年

主要趨勢
北美洲
- 美國
- 加拿大
歐洲
- 德國
- 英國
- 法國
- 西班牙
- 義大利
- 荷蘭
亞太地區
- 中國
- 日本
- 印度
- 澳洲
- 韓國
拉丁美洲
- 巴西
- 墨西哥
- 阿根廷
中東和非洲
- 南非
- 沙烏地阿拉伯
- 阿拉伯聯合大公國

第8章：公司簡介

Allurion
Calibrate Health
Ilant Health
Intellihealth
Noom
Omada Health
Qardio
Teladoc Health
Twin Health
Vida Health
Virta Health
Welldoc
WW International

簡介目錄

Product Code: 12544

The Global Digital Health For Obesity Market was valued at USD 59.4 billion in 2024 and is anticipated to grow at an impressive CAGR of 22.1% from 2025 to 2034. This rapid expansion is driven by the rising global prevalence of obesity and the increasing adoption of cutting-edge technologies such as AI and data analytics, revolutionizing weight management with personalized and effective solutions.

Digital Health for Obesity Market - IMG1

The global market is categorized into software, hardware, and services, with the services segment leading the charge. In 2024, the services segment held a dominant position, valued at USD 22.9 billion. Its prominence stems from its ability to deliver comprehensive support, including personalized consultations, remote monitoring, and ongoing guidance for individuals managing health conditions like obesity. By bridging the gap between technology and patient care, services ensure tailored recommendations and sustained user engagement, making them indispensable in the digital health ecosystem.

Market Scope
Start Year	2024
Forecast Year	2025-2034
Start Value	$59.4 Billion
Forecast Value	$441.2 Billion
CAGR	22.1%

By end use, the market is segmented into patients, providers, payers, and other end-users, with the patients segment capturing the largest market share of 48.8% in 2024. This leadership position is fueled by the surging demand for personalized and accessible healthcare solutions. Patients are the primary users of digital health tools, leveraging mobile apps, wearables, and other technologies to effectively monitor and manage obesity. The growing awareness of health and wellness, coupled with the ease and convenience of self-management, is further propelling the adoption of digital health solutions among individuals.

The U.S. digital health for obesity market is set to maintain its dominance through 2032, with a robust CAGR of 21.8%. This leadership is underpinned by a strong ecosystem of technology companies, healthcare providers, and research institutions, which drive innovation in digital health solutions. Additionally, the rising prevalence of obesity and associated chronic diseases in the U.S. has amplified the demand for effective management tools, including mobile apps, wearables, and telemedicine platforms.

Chapter 1 Methodology and Scope

1.1 Market scope and definition
1.2 Research design
- 1.2.1 Research approach
- 1.2.2 Data collection methods
1.3 Base estimates and calculations
- 1.3.1 Base year calculation
- 1.3.2 Key trends for market estimation
1.4 Forecast model
1.5 Primary research and validation
- 1.5.1 Primary sources
- 1.5.2 Data mining sources

Chapter 2 Executive Summary

2.1 Industry 360⁰ synopsis

Chapter 3 Industry Insights

3.1 Industry ecosystem analysis
3.2 Industry impact forces
- 3.2.1 Growth drivers
  - 3.2.1.1 Rising prevalence of obesity
  - 3.2.1.2 Growing adoption of mHealth and wearable devices
  - 3.2.1.3 Advances in telemedicine and remote monitoring
  - 3.2.1.4 Increasing awareness and focus on preventive healthcare
- 3.2.2 Industry pitfalls and challenges
  - 3.2.2.1 Data privacy and security concerns
  - 3.2.2.2 Low digital awareness and accessibility
3.3 Growth potential analysis
3.4 Regulatory landscape
3.5 Technology trends
3.6 Porter’s analysis
3.7 PESTEL analysis

Chapter 4 Competitive Landscape, 2024

4.1 Introduction
4.2 Company market share analysis
4.3 Company matrix analysis
4.4 Competitive analysis of major market players
4.5 Competitive positioning matrix
4.6 Strategy dashboard

Chapter 5 Market Estimates and Forecast, By Component, 2021 – 2034 ($ Mn)

5.1 Key trends
5.2 Software
5.3 Hardware
5.4 Services

Chapter 6 Market Estimates and Forecast, By End Use, 2021 – 2034 ($ Mn)

6.1 Key trends
6.2 Patients
6.3 Providers
6.4 Payers
6.5 Other end use

Chapter 7 Market Estimates and Forecast, By Region, 2021 – 2034 ($ Mn)

7.1 Key trends
7.2 North America
- 7.2.1 U.S.
- 7.2.2 Canada
7.3 Europe
- 7.3.1 Germany
- 7.3.2 UK
- 7.3.3 France
- 7.3.4 Spain
- 7.3.5 Italy
- 7.3.6 Netherlands
7.4 Asia Pacific
- 7.4.1 China
- 7.4.2 Japan
- 7.4.3 India
- 7.4.4 Australia
- 7.4.5 South Korea
7.5 Latin America
- 7.5.1 Brazil
- 7.5.2 Mexico
- 7.5.3 Argentina
7.6 Middle East and Africa
- 7.6.1 South Africa
- 7.6.2 Saudi Arabia
- 7.6.3 UAE