Analysts’ Viewpoint
Increase in efficiency of digital twin technology in healthcare, rise in adoption of data analytics and machine learning, and surge in telemedicine and remote patient monitoring are expected to propel the global market during the forecast period. Growth in strategic alliances between companies and rise in new product launches are also anticipated to boost the digital twin in healthcare market demand in the near future. Furthermore, increase in focus on value-based care and population health management is fueling market expansion.
Companies operating in the market are introducing technologically advanced software and solutions to increase their market share. This is creating lucrative digital twin in healthcare business opportunities.
Digital twin technology in healthcare is a virtual model of a person's physical health that can be used to simulate the effects of various treatments and interventions on health. The medical digital twin model is created using data from a variety of sources including electronic health records, wearable devices, and imaging studies.
Healthcare digital twins enable healthcare providers to make more informed decisions about patient care, optimize treatment plans, and reduce the risk of adverse events. Several healthcare organizations have started adopting digital twin technology to improve patient outcomes and reduce operational costs. This is fueling the digital twin in healthcare market dynamics.
Digital twin technology in healthcare is used in various applications such as drug development, supply chain, research, clinical trials, clinical operations, and patient monitoring. Technology eliminates the need for unnecessary tests and treatments in healthcare. Digital twin applications in healthcare are rising across the globe. This is anticipated to positively impact the global digital twin in healthcare industry statistics in the near future.
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Remote patient monitoring works well with telehealth technology when patients need to be observed for specific health issues. Digital twins can be efficiently used in telemedicine and remote patient monitoring to generate a virtual representation of a patient's health and healthcare requirements. The model is adopted to track patients’ health data in real-time as well as provide individualized treatment and care suggestions.
A digital twin of a diabetic patient can be used to track the patient's blood sugar levels, medication consumption, and other important health indicators. It can also be used to make recommendations for food, exercise, and other lifestyle modifications to help manage the disease.
Digital twin technology in healthcare can also be adopted to improve the efficiency and effectiveness of telemedicine and remote patient monitoring by providing a more complete and accurate picture of the patient's health. For instance, digital twins could be used to integrate data from multiple sources, such as wearable devices, electronic health records, and other data sources, to provide a more comprehensive view of a patient's health. This could help healthcare providers to effectively monitor and manage their patients. Thus, the rise in telemedicine and remote patient monitoring services is expected to increase the digital twin in healthcare market size in the next few years.
Of late, the usage of data analytics and machine learning in healthcare has increased across the globe. These technologies have the potential to enhance healthcare quality and efficiency by enabling the analysis and interpretation of massive volumes of data to uncover patterns, trends, and insights that people would not be able to see instantly.
Data analytics and machine learning technologies are used in the healthcare sector to enhance patient care. Data analytics technology is employed to uncover trends in patient data such as patterns of a disease or risk factors for a particular disorder. This allows healthcare personnel to identify and treat illnesses before they become more serious.
Machine learning algorithms are used to examine patient data in order to produce more accurate diagnoses, forecast probable consequences, and propose therapy. Machine learning and data analytics can also be used to optimize scheduling, minimize the likelihood of errors, and improve supply chain management. Thus, the rise in the adoption of data analytics and machine learning in healthcare is likely to boost the digital twin in healthcare market share in the near future.
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In terms of application, the global market has been classified into a healthcare facilities, personalized diagnosis & treatment, device & drug development, and others. The personalized diagnosis & treatment segment has been further categorized into medical imaging, preventive medicine, surgery planning, and others.
The healthcare facility segment dominated the industry in 2021. It is anticipated to maintain its leading share during the forecast period. Virtual models or digital twins can be used to manage bed shortages, staff schedules, and operating rooms in healthcare facilities. The benefits of using virtual models in healthcare facilities include improved patient care, productivity, and cost optimization.
Based on end-user, the global business has been segregated into hospitals, clinics, and diagnostic centers; pharmaceutical & medical device companies; and others. Digital twins are primarily used more in hospitals, clinics, and diagnostic centers than in pharmaceutical & medical device companies.
North America accounted for a major share of the global digital twin in healthcare market in 2021. This region is anticipated to dominate the industry during the forecast period, owing to the rise in the application of digital twins in healthcare in the region. The increase in the availability of improved healthcare facilities, especially in hospitals and ambulatory surgery centers; the rise in advancements in medical technologies; and the lucrative presence of key players in the U.S. and Canada are factors contributing to the digital twin in healthcare business development in the region.
The market in Asia Pacific is estimated to grow at a high CAGR during the forecast period, owing to the high rate of adoption of digital twin software in the region. Various companies in the Asia Pacific are engaged in the research & development of digital healthcare technologies. This is positively impacting the digital twin in healthcare market statistics in the region.
Large numbers of local as well as international players operating in the fragmented global digital twin in healthcare market. These players are expanding their services and focusing on innovative strategies such as mergers & acquisitions to grab potential growth opportunities.
Some of the leading companies in the global digital twin in healthcare market are ANSYS, Inc, Dassault Systèmes, Faststream Technologies, Koninklijke Philips N.V., Microsoft Corporation, NUREA, Predictiv Care, Inc, PrediSurge, Q Bio, Inc., Siemens Healthineers, Verto Inc, and Virtonomy GmbH.
Key players have been profiled in the digital twin in healthcare market forecast report based on parameters such as recent developments, company overview, business strategies, financial overview, product portfolio, and business segments.
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Attribute |
Detail |
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Market Size Value in 2021 |
US$ 448.9 Mn |
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Market Forecast Value in 2031 |
More than US$ 5.3 Bn |
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Growth Rate (CAGR) |
25.1% |
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Forecast Period |
2022–2031 |
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Historical Data Available for |
2017–2020 |
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Quantitative Units |
US$ Mn/Bn for Value |
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Market Analysis |
It includes segment analysis at global as well as regional level. Moreover, qualitative analysis includes drivers, restraints, opportunities, key trends, Porter’s Five Forces analysis, value chain analysis, and key trend analysis. |
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Competition Landscape |
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Format |
Electronic (PDF) + Excel |
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Market Segmentation |
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Regions Covered |
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Countries Covered |
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Companies Profiled |
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Customization Scope |
Available upon request |
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Pricing |
Available upon request |
It was valued at US$ 448.9 Mn in 2021.
It is projected to reach more than US$ 5.3 Bn by 2031.
The CAGR is anticipated to be 25.1% from 2022 to 2031.
Rise in adoption of data analytics and machine learning in healthcare and increase in telemedicine and remote patient monitoring services.
North America is expected to account for the largest share during the forecast period.
ANSYS, Inc, Dassault Systèmes, Faststream Technologies, Koninklijke Philips N.V., Microsoft Corporation, NUREA, Predictiv Care, Inc, PrediSurge, Q Bio, Inc., Siemens Healthineers, Verto Inc, and Virtonomy GmbH.
1. Preface
1.1. Market Definition and Scope
1.2. Market Segmentation
1.3. Key Research Objectives
1.4. Research Highlights
2. Assumptions and Research Methodology
3. Executive Summary: Global Digital Twin in Healthcare Market
4. Market Overview
4.1. Introduction
4.1.1. Application Definition
4.1.2. Industry Evolution/Developments
4.2. Overview
4.3. Market Dynamics
4.3.1. Drivers
4.3.2. Restraints
4.3.3. Opportunities
4.4. Global Digital Twin in Healthcare Market Analysis and Forecast, 2017 - 2031
4.4.1. Market Revenue Projections (US$ Mn)
5. Key Insights
5.1. Technological Advancements
5.1.1. Digital Twins in the Era of Personalized Medicine: From Digital Device to Digital Patients
5.1.2. Virtual Physiological Human Application Development in Digital Twin
5.1.3. Precision Medicine and Support to Medical Decision Making
5.1.4. Others
5.2. Key Industry Development
5.3. COVID-19 Impact Analysis
6. Global Digital Twin in Healthcare Market Analysis and Forecast, By Application
6.1. Introduction & Definition
6.2. Key Findings / Developments
6.3. Market Value Forecast By Application, 2017 - 2031
6.3.1. Healthcare Facility
6.3.2. Personalized Diagnosis & Treatment
6.3.2.1. Medical Imaging
6.3.2.2. Preventive Medicine
6.3.2.3. Surgery Planning
6.3.2.4. Others
6.3.3. Device & Drug Development
6.3.4. Others
6.4. Market Attractiveness By Application
7. Global Digital Twin in Healthcare Market Analysis and Forecast, By End-user
7.1. Introduction & Definition
7.2. Key Findings / Developments
7.3. Market Value Forecast By End-user, 2017 - 2031
7.3.1. Hospitals, Clinics, and Diagnostic Centers
7.3.2. Pharmaceutical & Medical Device Companies
7.3.3. Others
7.4. Market Attractiveness By End-user
8. Global Digital Twin in Healthcare Market Analysis and Forecast, By Region
8.1. Key Findings
8.2. Market Value Forecast By Region
8.2.1. North America
8.2.2. Europe
8.2.3. Asia Pacific
8.2.4. Latin America
8.2.5. Middle East & Africa
8.3. Market Attractiveness By Country/Region
9. North America Digital Twin in Healthcare Market Analysis and Forecast
9.1. Introduction
9.1.1. Key Findings
9.2. Market Value Forecast By Application , 2017 - 2031
9.2.1. Healthcare Facility
9.2.2. Personalized Diagnosis & Treatment
9.2.2.1. Medical Imaging
9.2.2.2. Preventive Medicine
9.2.2.3. Surgery Planning
9.2.2.4. Others
9.2.3. Device & Drug Development
9.2.4. Others
9.3. Market Value Forecast By End-user, 2017 - 2031
9.3.1. Hospitals, Clinics, and Diagnostic Centers
9.3.2. Pharmaceutical & Medical Device Companies
9.3.3. Others
9.4. Market Value Forecast By Country, 2017 - 2031
9.4.1. U.S.
9.4.2. Canada
9.5. Market Attractiveness Analysis
9.5.1. By Application
9.5.2. By End-user
9.5.3. By Country
10. Europe Digital Twin in Healthcare Market Analysis and Forecast
10.1. Introduction
10.1.1. Key Findings
10.2. Market Value Forecast By Application , 2017 - 2031
10.2.1. Healthcare Facility
10.2.2. Personalized Diagnosis & Treatment
10.2.2.1. Medical Imaging
10.2.2.2. Preventive Medicine
10.2.2.3. Surgery Planning
10.2.2.4. Others
10.2.3. Device & Drug Development
10.2.4. Others
10.3. Market Value Forecast By End-user, 2017 - 2031
10.3.1. Hospitals, Clinics, and Diagnostic Centers
10.3.2. Pharmaceutical & Medical Device Companies
10.3.3. Others
10.4. Market Value Forecast By Country/Sub-region, 2017 - 2031
10.4.1. Germany
10.4.2. U.K.
10.4.3. France
10.4.4. Spain
10.4.5. Italy
10.4.6. Rest of Europe
10.5. Market Attractiveness Analysis
10.5.1. By Application
10.5.2. By End-user
10.5.3. By Country/Sub-region
11. Asia Pacific Digital Twin in Healthcare Market Analysis and Forecast
11.1. Introduction
11.1.1. Key Findings
11.2. Market Value Forecast By Application , 2017 - 2031
11.2.1. Healthcare Facility
11.2.2. Personalized Diagnosis & Treatment
11.2.2.1. Medical Imaging
11.2.2.2. Preventive Medicine
11.2.2.3. Surgery Planning
11.2.2.4. Others
11.2.3. Device & Drug Development
11.2.4. Others
11.3. Market Value Forecast By End-user, 2017 - 2031
11.3.1. Hospitals, Clinics, and Diagnostic Centers
11.3.2. Pharmaceutical & Medical Device Companies
11.3.3. Others
11.4. Market Value Forecast By Country/Sub-region, 2017 - 2031
11.4.1. China
11.4.2. Japan
11.4.3. India
11.4.4. Australia & New Zealand
11.4.5. Rest of Asia Pacific
11.5. Market Attractiveness Analysis
11.5.1. By Application
11.5.2. By End-user
11.5.3. By Country/Sub-region
12. Latin America Digital Twin in Healthcare Market Analysis and Forecast
12.1. Introduction
12.1.1. Key Findings
12.2. Market Value Forecast By Application , 2017 - 2031
12.2.1. Healthcare Facility
12.2.2. Personalized Diagnosis & Treatment
12.2.2.1. Medical Imaging
12.2.2.2. Preventive Medicine
12.2.2.3. Surgery Planning
12.2.2.4. Others
12.2.3. Device & Drug Development
12.2.4. Others
12.3. Market Value Forecast By End-user, 2017 - 2031
12.3.1. Hospitals, Clinics, and Diagnostic Centers
12.3.2. Pharmaceutical & Medical Device Companies
12.3.3. Others
12.4. Market Value Forecast By Country/Sub-region, 2017 - 2031
12.4.1. Brazil
12.4.2. Mexico
12.4.3. Rest of Latin America
12.5. Market Attractiveness Analysis
12.5.1. By Application
12.5.2. By End-user
12.5.3. By Country/Sub-region
13. Middle East & Africa Digital Twin in Healthcare Market Analysis and Forecast
13.1. Introduction
13.1.1. Key Findings
13.2. Market Value Forecast By Application , 2017 - 2031
13.2.1. Healthcare Facility
13.2.2. Personalized Diagnosis & Treatment
13.2.2.1. Medical Imaging
13.2.2.2. Preventive Medicine
13.2.2.3. Surgery Planning
13.2.2.4. Others
13.2.3. Device & Drug Development
13.2.4. Others
13.3. Market Value Forecast By End-user, 2017 - 2031
13.3.1. Hospitals, Clinics, and Diagnostic Centers
13.3.2. Pharmaceutical & Medical Device Companies
13.3.3. Others
13.4. Market Value Forecast By Country/Sub-region, 2017 - 2031
13.4.1. GCC Countries
13.4.2. South Africa
13.4.3. Rest of Middle East & Africa
13.5. Market Attractiveness Analysis
13.5.1. By Application
13.5.2. By End-user
13.5.3. By Country/Sub-region
14. Competition Landscape
14.1. Market Player – Competition Matrix (By Tier and Size of companies)
14.2. Market Share Analysis By Company (2021)
14.3. Company Profiles
14.3.1. ANSYS, Inc
14.3.1.1. Company Overview (HQ, Business Segments, Employee Strength)
14.3.1.2. Product Portfolio
14.3.1.3. SWOT Analysis
14.3.1.4. Strategic Overview
14.3.2. Dassault Systèmes
14.3.2.1. Company Overview (HQ, Business Segments, Employee Strength)
14.3.2.2. Product Portfolio
14.3.2.3. SWOT Analysis
14.3.2.4. Strategic Overview
14.3.3. Faststream Technologies
14.3.3.1. Company Overview (HQ, Business Segments, Employee Strength)
14.3.3.2. Product Portfolio
14.3.3.3. SWOT Analysis
14.3.3.4. Strategic Overview
14.3.4. Koninklijke Philips N.V.
14.3.4.1. Company Overview (HQ, Business Segments, Employee Strength)
14.3.4.2. Product Portfolio
14.3.4.3. SWOT Analysis
14.3.4.4. Strategic Overview
14.3.5. Microsoft Corporation
14.3.5.1. Company Overview (HQ, Business Segments, Employee Strength)
14.3.5.2. Product Portfolio
14.3.5.3. SWOT Analysis
14.3.5.4. Strategic Overview
14.3.6. NUREA
14.3.6.1. Company Overview (HQ, Business Segments, Employee Strength)
14.3.6.2. Product Portfolio
14.3.6.3. SWOT Analysis
14.3.6.4. Strategic Overview
14.3.7. Predictiv Care, Inc
14.3.7.1. Company Overview (HQ, Business Segments, Employee Strength)
14.3.7.2. Product Portfolio
14.3.7.3. SWOT Analysis
14.3.7.4. Strategic Overview
14.3.8. PrediSurge
14.3.8.1. Company Overview (HQ, Business Segments, Employee Strength)
14.3.8.2. Product Portfolio
14.3.8.3. SWOT Analysis
14.3.8.4. Strategic Overview
14.3.9. Q Bio, Inc.
14.3.9.1. Company Overview (HQ, Business Segments, Employee Strength)
14.3.9.2. Product Portfolio
14.3.9.3. SWOT Analysis
14.3.9.4. Strategic Overview
14.3.10. Siemens Healthineers
14.3.10.1. Company Overview (HQ, Business Segments, Employee Strength)
14.3.10.2. Product Portfolio
14.3.10.3. SWOT Analysis
14.3.10.4. Strategic Overview
14.3.11. Verto Inc
14.3.11.1. Company Overview (HQ, Business Segments, Employee Strength)
14.3.11.2. Product Portfolio
14.3.11.3. SWOT Analysis
14.3.11.4. Strategic Overview
14.3.12. Virtonomy GmbH
14.3.12.1. Company Overview (HQ, Business Segments, Employee Strength)
14.3.12.2. Product Portfolio
14.3.12.3. SWOT Analysis
14.3.12.4. Strategic Overview
List of Tables
Table 01: Global Digital Twin in Healthcare Market Value (US$ Mn) Forecast, by Application, 2017‒2031
Table 02: Global Digital Twin in Healthcare Market Value (US$ Mn) Forecast, by 2017‒2031, by Personalized Diagnosis & Treatment
Table 03: Global Digital Twin in Healthcare Market Value (US$ Mn) Forecast, by End-user, 2017–2031
Table 04: Global Digital Twin in Healthcare Market Value (US$ Mn) Forecast, by Region, 2017–2031
Table 05: North America Digital Twin in Healthcare Market Value (US$ Mn) Forecast, by Country, 2017–2031
Table 06: North America Digital Twin in Healthcare Market Value (US$ Mn) Forecast, by Application, 2017‒2031
Table 07: North America Digital Twin in Healthcare Market Value (US$ Mn) Forecast, by Personalized Diagnosis & Treatment, 2017‒2031
Table 08: North America Digital Twin in Healthcare Market Value (US$ Mn) Forecast, by End-user, 2017–2031
Table 09: Europe Digital Twin in Healthcare Market Value (US$ Mn) Forecast, by Country/Sub-Region, 2017–2031
Table 10: Europe Digital Twin in Healthcare Market Value (US$ Mn) Forecast, by Application, 2017‒2031
Table 11: Europe Digital Twin in Healthcare Market Value (US$ Mn) Forecast, by Personalized Diagnosis & Treatment, 2017‒2031
Table 12: Europe Digital Twin in Healthcare Market Value (US$ Mn) Forecast, by End-user, 2017–2031
Table 13: Asia Pacific Digital Twin in Healthcare Market Value (US$ Mn) Forecast, by Country/Sub-region, 2017–2031
Table 14: Asia Pacific Digital Twin in Healthcare Market Value (US$ Mn) Forecast, by Application, 2017‒2031
Table 15: Asia Pacific Digital Twin in Healthcare Market Value (US$ Mn) Forecast, by Personalized Diagnosis & Treatment, 2017‒2031
Table 16: Asia Pacific Digital Twin in Healthcare Market Value (US$ Mn) Forecast, by End-user, 2017–2031
Table 17: Rest of the World Digital Twin in Healthcare Market Value (US$ Mn) Forecast, by Application, 2017‒2031
Table 18: Rest of the World Digital Twin in Healthcare Market Value (US$ Mn) Forecast, by Personalized Diagnosis & Treatment, 2017‒2031
Table 19: Rest of the World Digital Twin in Healthcare Market Value (US$ Mn) Forecast, by End-user, 2017–2031
List of Figures
Figure 01: Global Digital Twin in Healthcare Market Value (US$ Mn) Forecast, 2017–2031
Figure 02: Global Digital Twin in Healthcare Market Value Share, by Application, 2021
Figure 03: Global Digital Twin in Healthcare Market Value Share, by End-user, 2021
Figure 04: Global Digital Twin in Healthcare Market Value Share, by Region, 2021
Figure 05: Global Digital Twin in Healthcare Market, by Application, 2021 and 2031
Figure 06: Global Digital Twin in Healthcare Market Attractiveness Analysis, by Application, 2022–2031
Figure 07: Global Digital Twin in Healthcare Market (US$ Mn), by Healthcare Facility, 2017–2031
Figure 08: Global Digital Twin in Healthcare Market (US$ Mn), by Personalized Diagnosis & Treatment, 2017–2031
Figure 09: Global Digital Twin in Healthcare Market (US$ Mn), by Device & Drug Development, 2017–2031
Figure 10: Global Digital Twin in Healthcare Market (US$ Mn), by Others, 2017–2031
Figure 11: Global Digital Twin in Healthcare Market, by End-user, 2021 and 2031
Figure 12: Global Digital Twin in Healthcare Market Attractiveness Analysis, by End-user, 2022–2031
Figure 13: Global Digital Twin in Healthcare Market (US$ Mn), by Hospitals, Clinics, and Diagnostic Centers, 2017–2031
Figure 14: Global Digital Twin in Healthcare Market (US$ Mn), by Pharmaceutical & Medical Device Companies, 2017–2031
Figure 15: Global Digital Twin in Healthcare Market (US$ Mn), by Others, 2017–2031
Figure 16: Global Digital Twin in Healthcare Market, by Region, 2021 and 2031
Figure 17: Global Digital Twin in Healthcare Market Attractiveness Analysis, by Region, 2022–2031
Figure 18: North America Digital Twin in Healthcare Market Value (US$ Mn) Forecast, 2017–2031
Figure 19: North America Digital Twin in Healthcare Market, by Country, 2021 and 2031
Figure 20: North America Digital Twin in Healthcare Market Attractiveness Analysis, by Country, 2022–2031
Figure 21: North America Digital Twin in Healthcare Market, by Application, 2021 and 2031
Figure 22: North America Digital Twin in Healthcare Market Attractiveness Analysis, by Application, 2022–2031
Figure 23: North America Digital Twin in Healthcare Market, by End-user, 2021 and 2031
Figure 24: North America Digital Twin in Healthcare Market Attractiveness Analysis, by End-user, 2022–2031
Figure 25: Europe Digital Twin in Healthcare Market Value (US$ Mn) Forecast, 2017–2031
Figure 26: Europe Digital Twin in Healthcare Market, by Country/Sub-region, 2021 and 2031
Figure 27: Europe Digital Twin in Healthcare Market Attractiveness Analysis, by Country/Sub-region, 2022–2031
Figure 28: Europe Digital Twin in Healthcare Market, by Application, 2021 and 2031
Figure 29: Europe Digital Twin in Healthcare Market Attractiveness Analysis, by Application, 2022–2031
Figure 30: Europe Digital Twin in Healthcare Market, by End-user, 2021 and 2031
Figure 31: Europe Digital Twin in Healthcare Market Attractiveness Analysis, by End-user, 2022–2031
Figure 32: Asia Pacific Digital Twin in Healthcare Market Value (US$ Mn) Forecast, 2017–2031
Figure 33: Asia Pacific Digital Twin in Healthcare Market, by Country/Sub-region, 2021 and 2031
Figure 34: Asia Pacific Digital Twin in Healthcare Market Attractiveness Analysis, by Country/Sub-region, 2022–2031
Figure 35: Asia Pacific Digital Twin in Healthcare Market, by Application, 2021 and 2031
Figure 36: Asia Pacific Digital Twin in Healthcare Market Attractiveness Analysis, by Application, 2022–2031
Figure 37: Asia Pacific Digital Twin in Healthcare Market, by End-user, 2021 and 2031
Figure 38: Asia Pacific Digital Twin in Healthcare Market Attractiveness Analysis, by End-user, 2022–2031
Figure 39: Rest of the World Digital Twin in Healthcare Market Value (US$ Mn) Forecast, 2017–2031
Figure 40: Rest of the World Digital Twin in Healthcare Market, by Application, 2021 and 2031
Figure 41: Rest of the World Digital Twin in Healthcare Market Attractiveness Analysis, by Application, 2022–2031
Figure 42: Rest of the World Digital Twin in Healthcare Market, by End-user, 2021 and 2031
Figure 43: Rest of the World Digital Twin in Healthcare Market Attractiveness Analysis, by End-user, 2022–2031
Figure 44: Global Digital Twin in Healthcare Market Share Analysis/Ranking, by Company, 2021
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Digital Twin in Healthcare Market
*86 figures and 60 tables includes