의료 분야 디지털 트윈 시장 - 세계 산업 규모, 점유율, 동향, 기회 및 예측 : 컴포넌트별, 용도별, 최종사용자별, 지역별, 시장 경쟁(2021-2031년)
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
상품코드:1901846
리서치사:TechSci Research
발행일:2026년 01월
페이지 정보:영문 180 Pages
라이선스 & 가격 (부가세 별도)
ㅁ Add-on 가능: 고객의 요청에 따라 일정한 범위 내에서 Customization이 가능합니다. 자세한 사항은 문의해 주시기 바랍니다.
한글목차
의료 분야 세계의·디지털 트윈 시장은 2025년 33억 2,000만 달러에서 2031년까지 308억 7,000만 달러에 이르고, CAGR 45.01%를 보일 것으로 예측됩니다.
시장 개요
예측 기간
2027-2031년
시장 규모 : 2025년
33억 2,000만 달러
시장 규모 : 2031년
308억 7,000만 달러
CAGR : 2026-2031년
45.01%
가장 성장이 빠른 부문
워크플로우 최적화
최대 시장
북미
주요 시장 성장 촉진요인
신약개발과 가상 임상시험의 가속화는 시장의 주요 동력으로 작용하고 있으며, 의약품 개발 파이프라인을 근본적으로 변화시키고 있습니다. 연구자들은 고정밀 생리적 시뮬레이션을 통해 잠재적 치료법에 대한 환자의 반응을 인실리콘으로 모델링할 수 있으며, 기존 인체 실험에 따른 재정적, 안전적 위험을 크게 줄일 수 있습니다.
주요 시장 과제
표준화된 데이터 상호운용성 부족은 전 세계 의료 분야 디지털 트윈 시장에 큰 장벽으로 작용하고 있으며, 정확한 가상 시뮬레이션을 생성하는 기술의 능력을 근본적으로 훼손하고 있습니다. 디지털 트윈 모델은 의료 영상, 웨어러블 기기, 전자 건강 기록 등 다양한 소스의 고정밀 실시간 데이터를 지속적으로 수집하는 데 전적으로 의존하고 있습니다.
주요 시장 동향
병원 전체 운영 프로세스를 모방하는 디지털 트윈의 확산은 단일 자산의 모니터링에서 전체 생태계 최적화에 초점을 맞추면서 시설 관리를 근본적으로 재구성하고 있습니다. 이러한 종합적인 가상 모델은 환자 수용률, 인력 배치와 같은 복잡한 워크플로우를 시뮬레이션하고, 의료 서비스에 영향을 미치기 전에 병목 현상을 예측합니다.
목차
제1장 개요
제2장 조사 방법
제3장 주요 요약
제4장 고객의 소리
제5장 세계의 의료 분야 디지털 트윈 시장 전망
시장 규모와 예측
금액별
시장 점유율과 예측
용도별(맞춤형 의료, Drug Discovery, 의료 교육, 워크플로우 최적화)
최종사용자별(의료 제공업체, 연구기관·학술기관, 지불 기관)
지역별
기업별(2025)
시장 맵
제6장 북미 의료 분야 디지털 트윈 시장 전망
시장 규모와 예측
시장 점유율과 예측
북미 : 국가별 분석
미국
캐나다
멕시코
제7장 유럽 의료 분야 디지털 트윈 시장 전망
시장 규모와 예측
시장 점유율과 예측
유럽 : 국가별 분석
독일
프랑스
영국
이탈리아
스페인
제8장 아시아태평양 의료 분야 디지털 트윈 시장 전망
시장 규모와 예측
시장 점유율과 예측
아시아태평양 : 국가별 분석
중국
인도
일본
한국
호주
제9장 중동 및 아프리카 의료 분야 디지털 트윈 시장 전망
시장 규모와 예측
시장 점유율과 예측
중동 및 아프리카 : 국가별 분석
사우디아라비아
아랍에미리트(UAE)
남아프리카공화국
제10장 남미 의료 분야 디지털 트윈 시장 전망
시장 규모와 예측
시장 점유율과 예측
남미 : 국가별 분석
브라질
콜롬비아
아르헨티나
제11장 시장 역학
성장 촉진요인
과제
제12장 시장 동향과 발전
인수합병(M&A)
제품 출시
최근 동향
제13장 세계의 의료 분야 디지털 트윈 시장 : SWOT 분석
제14장 Porter의 Five Forces 분석
업계내 경쟁
신규 참여 가능성
공급업체의 힘
고객의 힘
대체품의 위협
제15장 경쟁 구도
Siemens Healthineers
Microsoft Corporation
Dassault Systemes
Philips Healthcare
GE Healthcare
IBM Corporation
NVIDIA Corporation
Oracle Corporation
Amazon Web Services
SAP SE
제16장 전략적 제안
제17장 회사 소개 및 면책조항
LSH
영문 목차
영문목차
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 Period
2027-2031
Market Size 2025
USD 3.32 Billion
Market Size 2031
USD 30.87 Billion
CAGR 2026-2031
45.01%
Fastest Growing Segment
Workflow Optimization
Largest Market
North 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
