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封面
市场调查报告书
商品编码
1901846

医疗保健领域数位孪生市场－全球产业规模、份额、趋势、机会和预测，按组件、应用、最终用户、地区和竞争格局划分，2021-2031年预测

Digital Twin in Healthcare Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Component, By Application, By End User, By Region & Competition, 2021-2031F
出版日期: | 出版商: TechSci Research | 英文 180 Pages | 商品交期: 2-3个工作天内

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简介目录

全球医疗保健数位孪生市场规模将从2025年的33.2亿美元成长到2031年的308.7亿美元，复合年增长率达45.01%。医疗保健数位孪生是指对实体实体（例如病患、器官或医院系统）进行动态虚拟表示，利用即时资料来模拟流程并预测结果。

市场概览
预测期 2027-2031
市场规模：2025年 33.2亿美元
市场规模：2031年 308.7亿美元
复合年增长率：2026-2031年 45.01%
成长最快的细分市场 工作流程优化
最大的市场 北美洲

主要市场驱动因素

药物研发和虚拟临床试验的加速发展是推动市场成长的主要催化剂，从根本上改变了药物研发流程。透过创建高保真生理模拟，研究人员可以在电脑模拟模拟患者对潜在疗法的反应，从而显着降低与传统人体试验相关的经济和安全风险。

主要市场挑战

缺乏标准化的资料互通性是全球医疗保健数位孪生市场发展的一大障碍，从根本上削弱了该技术创建精确虚拟模拟的能力。数位孪生模型完全依赖从医学影像、穿戴式装置和电子健康记录等各种来源持续聚合高保真度的即时资料。

主要市场趋势

全院营运流程模型的普及正在从根本上重塑医院设施管理，将焦点从单一资产监控转向全生态系统最佳化。这些综合虚拟模型模拟复杂的流程，例如病患入院率和人员配置，以便在瓶颈影响医疗服务之前进行预测。

目录

第一章：产品概述

第二章：研究方法

第三章：执行概要

第四章：顾客之声

第五章：全球医疗保健数位孪生市场展望

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 依应用领域（个人化医疗、药物研发、医学教育、工作流程优化）
    • 按最终用户（医疗服务提供者、研究与学术界、支付方）划分
    • 按地区
    • 按公司（2025 年）
  • 市场地图

第六章：北美医疗保健数位孪生市场展望

  • 市场规模及预测
  • 市占率及预测
  • 北美洲：国家分析
    • 美国
    • 加拿大
    • 墨西哥

第七章：欧洲医疗保健数位孪生市场展望

  • 市场规模及预测
  • 市占率及预测
  • 欧洲：国家分析
    • 德国
    • 法国
    • 英国
    • 义大利
    • 西班牙

第八章：亚太地区医疗保健数位孪生市场展望

  • 市场规模及预测
  • 市占率及预测
  • 亚太地区：国家分析
    • 中国
    • 印度
    • 日本
    • 韩国
    • 澳洲

第九章：中东和非洲医疗保健数位孪生市场展望

  • 市场规模及预测
  • 市占率及预测
  • 中东和非洲：国家分析
    • 沙乌地阿拉伯
    • 阿联酋
    • 南非

第十章：南美洲医疗保健数位孪生市场展望

  • 市场规模及预测
  • 市占率及预测
  • 南美洲：国家分析
    • 巴西
    • 哥伦比亚
    • 阿根廷

第十一章：市场动态

  • 司机
  • 挑战

第十二章：市场趋势与发展

  • 併购
  • 产品发布
  • 最新进展

第十三章：全球医疗保健数位孪生市场：SWOT分析

第十四章：波特五力分析

  • 产业竞争
  • 新进入者的潜力
  • 供应商议价能力
  • 顾客的力量
  • 替代产品的威胁

第十五章：竞争格局

  • Siemens Healthineers
  • Microsoft Corporation
  • Dassault Systemes
  • Philips Healthcare
  • GE Healthcare
  • IBM Corporation
  • NVIDIA Corporation
  • Oracle Corporation
  • Amazon Web Services
  • SAP SE

第十六章：策略建议

第17章调查会社について・免责事项

简介目录
Product Code: 16176

The Global Digital Twin in Healthcare Market will grow from USD 3.32 Billion in 2025 to USD 30.87 Billion by 2031 at a 45.01% CAGR. A digital twin in healthcare is defined as a dynamic virtual representation of a physical entity, such as a patient, organ, or hospital system, that utilizes real-time data to simulate processes and predict outcomes.

Market Overview
Forecast Period2027-2031
Market Size 2025USD 3.32 Billion
Market Size 2031USD 30.87 Billion
CAGR 2026-203145.01%
Fastest Growing SegmentWorkflow Optimization
Largest MarketNorth America

Key Market Drivers

The acceleration of drug discovery and virtual clinical trials acts as a primary catalyst for the market, fundamentally altering pharmaceutical development pipelines. By creating high-fidelity physiological simulations, researchers can model patient responses to potential therapies in silico, significantly mitigating the financial and safety risks associated with traditional human trials. This application enables the generation of synthetic control arms, which optimizes cohort selection and expedites regulatory approval timelines for new treatments.

Key Market Challenges

The lack of standardized data interoperability stands as a formidable barrier to the Global Digital Twin in Healthcare Market, fundamentally undermining the technology's ability to create accurate virtual simulations. Digital twin models rely entirely on the continuous aggregation of high-fidelity, real-time data from diverse sources such as medical imaging, wearable devices, and electronic health records. When these data streams remain isolated within incompatible systems due to fragmentation, the resulting virtual models are incomplete and unreliable. This disconnection prevents providers from achieving the precise modeling required for personalized medicine, thereby stalling investment in these advanced tools.

Key Market Trends

The proliferation of whole-hospital operational process twins is fundamentally reshaping facility management by shifting focus from single-asset monitoring to ecosystem-wide optimization. These comprehensive virtual models simulate complex workflows, such as patient admission rates and staffing allocation, to predict bottlenecks before they impact care delivery. This capability is proving essential for health systems grappling with resource constraints, as it allows for precise, real-time adjustments to workforce deployment.

Key Market Players

  • Siemens Healthineers
  • Microsoft Corporation
  • Dassault Systemes
  • Philips Healthcare
  • GE Healthcare
  • IBM Corporation
  • NVIDIA Corporation
  • Oracle Corporation
  • Amazon Web Services
  • SAP SE

Report Scope:

In this report, the Global Digital Twin in Healthcare Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Digital Twin in Healthcare Market, By Application:

  • Personalized Medicine
  • Drug Discovery
  • Medical Education
  • Workflow Optimization

Digital Twin in Healthcare Market, By End User:

  • Providers
  • Research & Academia
  • Payers

Digital Twin in Healthcare Market, By Region:

  • North America
  • United States
  • Canada
  • Mexico
  • Europe
  • France
  • United Kingdom
  • Italy
  • Germany
  • Spain
  • Asia Pacific
  • China
  • India
  • Japan
  • Australia
  • South Korea
  • South America
  • Brazil
  • Argentina
  • Colombia
  • Middle East & Africa
  • South Africa
  • Saudi Arabia
  • UAE

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global Digital Twin in Healthcare Market.

Available Customizations:

Global Digital Twin in Healthcare Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

  • Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Product Overview

  • 1.1. Market Definition
  • 1.2. Scope of the Market
    • 1.2.1. Markets Covered
    • 1.2.2. Years Considered for Study
    • 1.2.3. Key Market Segmentations

2. Research Methodology

  • 2.1. Objective of the Study
  • 2.2. Baseline Methodology
  • 2.3. Key Industry Partners
  • 2.4. Major Association and Secondary Sources
  • 2.5. Forecasting Methodology
  • 2.6. Data Triangulation & Validation
  • 2.7. Assumptions and Limitations

3. Executive Summary

  • 3.1. Overview of the Market
  • 3.2. Overview of Key Market Segmentations
  • 3.3. Overview of Key Market Players
  • 3.4. Overview of Key Regions/Countries
  • 3.5. Overview of Market Drivers, Challenges, Trends

4. Voice of Customer

5. Global Digital Twin in Healthcare Market Outlook

  • 5.1. Market Size & Forecast
    • 5.1.1. By Value
  • 5.2. Market Share & Forecast
    • 5.2.1. By Application (Personalized Medicine, Drug Discovery, Medical Education, Workflow Optimization)
    • 5.2.2. By End User (Providers, Research & Academia, Payers)
    • 5.2.3. By Region
    • 5.2.4. By Company (2025)
  • 5.3. Market Map

6. North America Digital Twin in Healthcare Market Outlook

  • 6.1. Market Size & Forecast
    • 6.1.1. By Value
  • 6.2. Market Share & Forecast
    • 6.2.1. By Application
    • 6.2.2. By End User
    • 6.2.3. By Country
  • 6.3. North America: Country Analysis
    • 6.3.1. United States Digital Twin in Healthcare Market Outlook
      • 6.3.1.1. Market Size & Forecast
        • 6.3.1.1.1. By Value
      • 6.3.1.2. Market Share & Forecast
        • 6.3.1.2.1. By Application
        • 6.3.1.2.2. By End User
    • 6.3.2. Canada Digital Twin in Healthcare Market Outlook
      • 6.3.2.1. Market Size & Forecast
        • 6.3.2.1.1. By Value
      • 6.3.2.2. Market Share & Forecast
        • 6.3.2.2.1. By Application
        • 6.3.2.2.2. By End User
    • 6.3.3. Mexico Digital Twin in Healthcare Market Outlook
      • 6.3.3.1. Market Size & Forecast
        • 6.3.3.1.1. By Value
      • 6.3.3.2. Market Share & Forecast
        • 6.3.3.2.1. By Application
        • 6.3.3.2.2. By End User

7. Europe Digital Twin in Healthcare Market Outlook

  • 7.1. Market Size & Forecast
    • 7.1.1. By Value
  • 7.2. Market Share & Forecast
    • 7.2.1. By Application
    • 7.2.2. By End User
    • 7.2.3. By Country
  • 7.3. Europe: Country Analysis
    • 7.3.1. Germany Digital Twin in Healthcare Market Outlook
      • 7.3.1.1. Market Size & Forecast
        • 7.3.1.1.1. By Value
      • 7.3.1.2. Market Share & Forecast
        • 7.3.1.2.1. By Application
        • 7.3.1.2.2. By End User
    • 7.3.2. France Digital Twin in Healthcare Market Outlook
      • 7.3.2.1. Market Size & Forecast
        • 7.3.2.1.1. By Value
      • 7.3.2.2. Market Share & Forecast
        • 7.3.2.2.1. By Application
        • 7.3.2.2.2. By End User
    • 7.3.3. United Kingdom Digital Twin in Healthcare Market Outlook
      • 7.3.3.1. Market Size & Forecast
        • 7.3.3.1.1. By Value
      • 7.3.3.2. Market Share & Forecast
        • 7.3.3.2.1. By Application
        • 7.3.3.2.2. By End User
    • 7.3.4. Italy Digital Twin in Healthcare Market Outlook
      • 7.3.4.1. Market Size & Forecast
        • 7.3.4.1.1. By Value
      • 7.3.4.2. Market Share & Forecast
        • 7.3.4.2.1. By Application
        • 7.3.4.2.2. By End User
    • 7.3.5. Spain Digital Twin in Healthcare Market Outlook
      • 7.3.5.1. Market Size & Forecast
        • 7.3.5.1.1. By Value
      • 7.3.5.2. Market Share & Forecast
        • 7.3.5.2.1. By Application
        • 7.3.5.2.2. By End User

8. Asia Pacific Digital Twin in Healthcare Market Outlook

  • 8.1. Market Size & Forecast
    • 8.1.1. By Value
  • 8.2. Market Share & Forecast
    • 8.2.1. By Application
    • 8.2.2. By End User
    • 8.2.3. By Country
  • 8.3. Asia Pacific: Country Analysis
    • 8.3.1. China Digital Twin in Healthcare Market Outlook
      • 8.3.1.1. Market Size & Forecast
        • 8.3.1.1.1. By Value
      • 8.3.1.2. Market Share & Forecast
        • 8.3.1.2.1. By Application
        • 8.3.1.2.2. By End User
    • 8.3.2. India Digital Twin in Healthcare Market Outlook
      • 8.3.2.1. Market Size & Forecast
        • 8.3.2.1.1. By Value
      • 8.3.2.2. Market Share & Forecast
        • 8.3.2.2.1. By Application
        • 8.3.2.2.2. By End User
    • 8.3.3. Japan Digital Twin in Healthcare Market Outlook
      • 8.3.3.1. Market Size & Forecast
        • 8.3.3.1.1. By Value
      • 8.3.3.2. Market Share & Forecast
        • 8.3.3.2.1. By Application
        • 8.3.3.2.2. By End User
    • 8.3.4. South Korea Digital Twin in Healthcare Market Outlook
      • 8.3.4.1. Market Size & Forecast
        • 8.3.4.1.1. By Value
      • 8.3.4.2. Market Share & Forecast
        • 8.3.4.2.1. By Application
        • 8.3.4.2.2. By End User
    • 8.3.5. Australia Digital Twin in Healthcare Market Outlook
      • 8.3.5.1. Market Size & Forecast
        • 8.3.5.1.1. By Value
      • 8.3.5.2. Market Share & Forecast
        • 8.3.5.2.1. By Application
        • 8.3.5.2.2. By End User

9. Middle East & Africa Digital Twin in Healthcare Market Outlook

  • 9.1. Market Size & Forecast
    • 9.1.1. By Value
  • 9.2. Market Share & Forecast
    • 9.2.1. By Application
    • 9.2.2. By End User
    • 9.2.3. By Country
  • 9.3. Middle East & Africa: Country Analysis
    • 9.3.1. Saudi Arabia Digital Twin in Healthcare Market Outlook
      • 9.3.1.1. Market Size & Forecast
        • 9.3.1.1.1. By Value
      • 9.3.1.2. Market Share & Forecast
        • 9.3.1.2.1. By Application
        • 9.3.1.2.2. By End User
    • 9.3.2. UAE Digital Twin in Healthcare Market Outlook
      • 9.3.2.1. Market Size & Forecast
        • 9.3.2.1.1. By Value
      • 9.3.2.2. Market Share & Forecast
        • 9.3.2.2.1. By Application
        • 9.3.2.2.2. By End User
    • 9.3.3. South Africa Digital Twin in Healthcare Market Outlook
      • 9.3.3.1. Market Size & Forecast
        • 9.3.3.1.1. By Value
      • 9.3.3.2. Market Share & Forecast
        • 9.3.3.2.1. By Application
        • 9.3.3.2.2. By End User

10. South America Digital Twin in Healthcare Market Outlook

  • 10.1. Market Size & Forecast
    • 10.1.1. By Value
  • 10.2. Market Share & Forecast
    • 10.2.1. By Application
    • 10.2.2. By End User
    • 10.2.3. By Country
  • 10.3. South America: Country Analysis
    • 10.3.1. Brazil Digital Twin in Healthcare Market Outlook
      • 10.3.1.1. Market Size & Forecast
        • 10.3.1.1.1. By Value
      • 10.3.1.2. Market Share & Forecast
        • 10.3.1.2.1. By Application
        • 10.3.1.2.2. By End User
    • 10.3.2. Colombia Digital Twin in Healthcare Market Outlook
      • 10.3.2.1. Market Size & Forecast
        • 10.3.2.1.1. By Value
      • 10.3.2.2. Market Share & Forecast
        • 10.3.2.2.1. By Application
        • 10.3.2.2.2. By End User
    • 10.3.3. Argentina Digital Twin in Healthcare Market Outlook
      • 10.3.3.1. Market Size & Forecast
        • 10.3.3.1.1. By Value
      • 10.3.3.2. Market Share & Forecast
        • 10.3.3.2.1. By Application
        • 10.3.3.2.2. By End User

11. Market Dynamics

  • 11.1. Drivers
  • 11.2. Challenges

12. Market Trends & Developments

  • 12.1. Merger & Acquisition (If Any)
  • 12.2. Product Launches (If Any)
  • 12.3. Recent Developments

13. Global Digital Twin in Healthcare Market: SWOT Analysis

14. Porter's Five Forces Analysis

  • 14.1. Competition in the Industry
  • 14.2. Potential of New Entrants
  • 14.3. Power of Suppliers
  • 14.4. Power of Customers
  • 14.5. Threat of Substitute Products

15. Competitive Landscape

  • 15.1. Siemens Healthineers
    • 15.1.1. Business Overview
    • 15.1.2. Products & Services
    • 15.1.3. Recent Developments
    • 15.1.4. Key Personnel
    • 15.1.5. SWOT Analysis
  • 15.2. Microsoft Corporation
  • 15.3. Dassault Systemes
  • 15.4. Philips Healthcare
  • 15.5. GE Healthcare
  • 15.6. IBM Corporation
  • 15.7. NVIDIA Corporation
  • 15.8. Oracle Corporation
  • 15.9. Amazon Web Services
  • 15.10. SAP SE

16. Strategic Recommendations

17. About Us & Disclaimer