Healthcare Digital Twins Market (By Type: Product Digital Twin, Process Digital Twin, System Digital Twin; By Technology; By Application; By End-use) - Global Industry Analysis, Size, Share, Growth, Trends, Revenue, Regional Outlook and Forecast 2022-2030

A real-time replica or digital model of a process or an object incorporating all the data available and updating data in the real-time is called a digital twin. A digital twin provides a real-time view through 3D visualization. The healthcare fraternity is using digital twins to test the safety and economic viability of a scenario before launching them into real-life environments or situations. Digital twins can remarkably transform the healthcare market by adopting a more integrated and real-time interactive approach to data capturing, offering real-time data-backed feedback, and more effective interventions. Data generating patient health records, mobile applications, pervasive sensors, and wearables are allowing better simulations in the market. Digital twins in healthcare is still in a nascent stage and has been gaining popularity and momentum post the COVID-19 pandemic. The healthcare industry is rapidly adopting digital twin technology. For example, medical digital twins integrate multiple digital ingredients such as graph databases, APIs, and natural language processing (NLP) to craft digital twins for life science organizations and other healthcare sectors, enabling them to enhance medical outcomes and minimize costs. Furthermore, medical digital twin technology accelerates medical innovation and supports the delivery of data-enriched precision medicine. 

Global digital twin in healthcare market growth is propelling owing to significant involvement by public and private investors, increasing healthcare digitalization, growing demand for value-based care using precision medicine, need to curb increasing healthcare costs, improve patient care experience, and growing rare disorder, cancer, and genetic research. For instance, regulatory authorities and healthcare organizations are turning their focus towards implementing digital twin technologies in patient care. For example, in October 2021, Twin Health raised USD million in a Series C funding round. Similarly, Unlearn developers of DiGenesis, a machine-learning powered platform raised USD 12 Million in Series A funding round. Companies are utilizing this funding to boost development and implementation of healthcare digital twin technologies. Global government bodies are undertaking multiple initiatives to promote the adoption of digital twin technology in healthcare. For instance, DigiTwins, is a flagship project of European government including over 200 partners present in 32 countries for developing personalized healthcare solutions using the virtual patient or digital twin strategy. The government has invested USD 1.1 billion (Euro 1.0 billion) over the next 10 years to support the development and growth of the project. DigiTwins program is anticipated to bring the paradigm shifts in the healthcare industry using advanced omics, communication, computing, and sensing technologies. 

The type segment has been classified into product digital twin, process digital twin, and system digital twin. Growing demand for electronic manufacturing devices such as IoT sensors across the healthcare industry is expected to contribute to the adoption of product digital twin solutions. As per IoT World Today, digital twin solutions adopted by various healthcare organizations are widely used in developing advanced product twin applications and support care professionals in understanding their patients’ care journey and clinical outcomes. Integration of predictive analytical tools and extended reality technologies is supporting the growth of the market. 

Emergence of entrepreneurial startups and entry of niche market players offering specific solutions is boosting the market growth. For instance, France-based Sim&Cure provides patient-based digital twin solutions for managing aneurysms. Similarly, Swiss-based Optimo Medical, an ophthalmology startup offers digital twin solution for laying down eye surgery plan for astigmatism. Some of the other renowned market participants are Atos, General Electric, Atos, Philips Healthcare, Dassault Systems, Twin Health, Siemens, ThoughtWire, and Fasttream Technologies. 

Key Players

  • General Electric
  • Ansys
  • Atos
  • Dassault Systems (3DS System)
  • Microsoft
  • Philips Healthcare
  • IQVIA
  • Verto Healthcare
  • ThoughWire
  • Fasttream Technologies
  • Twin Health

Market Segmentation

By Technology Outlook

  • Internet of Things (IoT)
  • Blockchain
  • Artificial Intelligence and Machine Learning
  • Augmented Reality, Virtual Reality, and Mixed Reality
  • Big Data Analytics

By Type Outlook

  • Product Digital Twin
  • Process Digital Twin
  • System Digital Twin

By Application Outlook

  • Asset and Process Management
  • Personalized Medicine
  • Surgical Planning
  • Drug Discovery
  • Medical Device Development

By End-Use Outlook

  • Healthcare Facility
  • Telemedicine Platforms
  • Life Science Organizations
  • Contract Research Organizations

By Regional Outlook

  • North America
    • U.S.
    • Canada
  • Europe
    • Germany
    • U.K.
    • France
    • Italy
    • Spain
    • Russia
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • Singapore
    • South Korea
  • Latin America
    • Brazil
    • Mexico
    • Argentina
  • MEA
    • South Africa
    • UAE
    • Saudi Arabia

Chapter 1. Introduction

1.1. Research Objective

1.2. Scope of the Study

1.3. Definition

Chapter 2. Research Methodology

2.1. Research Approach

2.2. Data Sources

2.3. Assumptions & Limitations

Chapter 3. Executive Summary

3.1. Market Snapshot

Chapter 4. Market Variables and Scope 

4.1. Introduction

4.2. Market Classification and Scope

4.3. Industry Value Chain Analysis

4.3.1. Raw Material Procurement Analysis 

4.3.2. Sales and Distribution Channel Analysis

4.3.3. Downstream Buyer Analysis

Chapter 5. COVID 19 Impact on Healthcare Digital Twins Market 

5.1. COVID-19 Landscape: Healthcare Digital Twins Industry Impact

5.2. COVID 19 - Impact Assessment for the Industry

5.3. COVID 19 Impact: Global Major Government Policy

5.4. Market Trends and Opportunities in the COVID-19 Landscape

Chapter 6. Market Dynamics Analysis and Trends

6.1. Market Dynamics

6.1.1. Market Drivers

6.1.2. Market Restraints

6.1.3. Market Opportunities

6.2. Porter’s Five Forces Analysis

6.2.1. Bargaining power of suppliers

6.2.2. Bargaining power of buyers

6.2.3. Threat of substitute

6.2.4. Threat of new entrants

6.2.5. Degree of competition

Chapter 7. Competitive Landscape

7.1.1. Company Market Share/Positioning Analysis

7.1.2. Key Strategies Adopted by Players

7.1.3. Vendor Landscape

7.1.3.1. List of Suppliers

7.1.3.2. List of Buyers

Chapter 8. Global Healthcare Digital Twins Market, By Technology

8.1. Healthcare Digital Twins Market, by Technology, 2022-2030

8.1.1. Internet of Things (IoT)

8.1.1.1. Market Revenue and Forecast (2017-2030)

8.1.2. Blockchain

8.1.2.1. Market Revenue and Forecast (2017-2030)

8.1.3. Artificial Intelligence and Machine Learning

8.1.3.1. Market Revenue and Forecast (2017-2030)

8.1.4. Augmented Reality, Virtual Reality, and Mixed Reality

8.1.4.1. Market Revenue and Forecast (2017-2030)

8.1.5. Big Data Analytics

8.1.5.1. Market Revenue and Forecast (2017-2030)

Chapter 9. Global Healthcare Digital Twins Market, By Type

9.1. Healthcare Digital Twins Market, by Type e, 2022-2030

9.1.1. Product Digital Twin

9.1.1.1. Market Revenue and Forecast (2017-2030)

9.1.2. Process Digital Twin

9.1.2.1. Market Revenue and Forecast (2017-2030)

9.1.3. System Digital Twin

9.1.3.1. Market Revenue and Forecast (2017-2030)

Chapter 10. Global Healthcare Digital Twins Market, By Application 

10.1. Healthcare Digital Twins Market, by Application, 2022-2030

10.1.1. Asset and Process Management

10.1.1.1. Market Revenue and Forecast (2017-2030)

10.1.2. Personalized Medicine

10.1.2.1. Market Revenue and Forecast (2017-2030)

10.1.3. Surgical Planning

10.1.3.1. Market Revenue and Forecast (2017-2030)

10.1.4. Drug Discovery

10.1.4.1. Market Revenue and Forecast (2017-2030)

10.1.5. Medical Device Development

10.1.5.1. Market Revenue and Forecast (2017-2030)

Chapter 11. Global Healthcare Digital Twins Market, By End-Use 

11.1. Healthcare Digital Twins Market, by End-Use, 2022-2030

11.1.1. Healthcare Facility

11.1.1.1. Market Revenue and Forecast (2017-2030)

11.1.2. Telemedicine Platforms

11.1.2.1. Market Revenue and Forecast (2017-2030)

11.1.3. Life Science Organizations

11.1.3.1. Market Revenue and Forecast (2017-2030)

11.1.4. Contract Research Organizations

11.1.4.1. Market Revenue and Forecast (2017-2030)

Chapter 12. Global Healthcare Digital Twins Market, Regional Estimates and Trend Forecast

12.1. North America

12.1.1. Market Revenue and Forecast, by Technology (2017-2030)

12.1.2. Market Revenue and Forecast, by Type (2017-2030)

12.1.3. Market Revenue and Forecast, by Application (2017-2030)

12.1.4. Market Revenue and Forecast, by End-Use (2017-2030)

12.1.5. U.S.

12.1.5.1. Market Revenue and Forecast, by Technology (2017-2030)

12.1.5.2. Market Revenue and Forecast, by Type (2017-2030)

12.1.5.3. Market Revenue and Forecast, by Application (2017-2030)

12.1.5.4. Market Revenue and Forecast, by End-Use (2017-2030)

12.1.6. Rest of North America

12.1.6.1. Market Revenue and Forecast, by Technology (2017-2030)

12.1.6.2. Market Revenue and Forecast, by Type (2017-2030)

12.1.6.3. Market Revenue and Forecast, by Application (2017-2030)

12.1.6.4. Market Revenue and Forecast, by End-Use (2017-2030)

12.2. Europe

12.2.1. Market Revenue and Forecast, by Technology (2017-2030)

12.2.2. Market Revenue and Forecast, by Type (2017-2030)

12.2.3. Market Revenue and Forecast, by Application (2017-2030)

12.2.4. Market Revenue and Forecast, by End-Use (2017-2030)

12.2.5. UK

12.2.5.1. Market Revenue and Forecast, by Technology (2017-2030)

12.2.5.2. Market Revenue and Forecast, by Type (2017-2030)

12.2.5.3. Market Revenue and Forecast, by Application (2017-2030)

12.2.5.4. Market Revenue and Forecast, by End-Use (2017-2030)

12.2.6. Germany

12.2.6.1. Market Revenue and Forecast, by Technology (2017-2030)

12.2.6.2. Market Revenue and Forecast, by Type (2017-2030)

12.2.6.3. Market Revenue and Forecast, by Application (2017-2030)

12.2.6.4. Market Revenue and Forecast, by End-Use (2017-2030)

12.2.7. France

12.2.7.1. Market Revenue and Forecast, by Technology (2017-2030)

12.2.7.2. Market Revenue and Forecast, by Type (2017-2030)

12.2.7.3. Market Revenue and Forecast, by Application (2017-2030)

12.2.7.4. Market Revenue and Forecast, by End-Use (2017-2030)

12.2.8. Rest of Europe

12.2.8.1. Market Revenue and Forecast, by Technology (2017-2030)

12.2.8.2. Market Revenue and Forecast, by Type (2017-2030)

12.2.8.3. Market Revenue and Forecast, by Application (2017-2030)

12.2.8.4. Market Revenue and Forecast, by End-Use (2017-2030)

12.3. APAC

12.3.1. Market Revenue and Forecast, by Technology (2017-2030)

12.3.2. Market Revenue and Forecast, by Type (2017-2030)

12.3.3. Market Revenue and Forecast, by Application (2017-2030)

12.3.4. Market Revenue and Forecast, by End-Use (2017-2030)

12.3.5. India

12.3.5.1. Market Revenue and Forecast, by Technology (2017-2030)

12.3.5.2. Market Revenue and Forecast, by Type (2017-2030)

12.3.5.3. Market Revenue and Forecast, by Application (2017-2030)

12.3.5.4. Market Revenue and Forecast, by End-Use (2017-2030)

12.3.6. China

12.3.6.1. Market Revenue and Forecast, by Technology (2017-2030)

12.3.6.2. Market Revenue and Forecast, by Type (2017-2030)

12.3.6.3. Market Revenue and Forecast, by Application (2017-2030)

12.3.6.4. Market Revenue and Forecast, by End-Use (2017-2030)

12.3.7. Japan

12.3.7.1. Market Revenue and Forecast, by Technology (2017-2030)

12.3.7.2. Market Revenue and Forecast, by Type (2017-2030)

12.3.7.3. Market Revenue and Forecast, by Application (2017-2030)

12.3.7.4. Market Revenue and Forecast, by End-Use (2017-2030)

12.3.8. Rest of APAC

12.3.8.1. Market Revenue and Forecast, by Technology (2017-2030)

12.3.8.2. Market Revenue and Forecast, by Type (2017-2030)

12.3.8.3. Market Revenue and Forecast, by Application (2017-2030)

12.3.8.4. Market Revenue and Forecast, by End-Use (2017-2030)

12.4. MEA

12.4.1. Market Revenue and Forecast, by Technology (2017-2030)

12.4.2. Market Revenue and Forecast, by Type (2017-2030)

12.4.3. Market Revenue and Forecast, by Application (2017-2030)

12.4.4. Market Revenue and Forecast, by End-Use (2017-2030)

12.4.5. GCC

12.4.5.1. Market Revenue and Forecast, by Technology (2017-2030)

12.4.5.2. Market Revenue and Forecast, by Type (2017-2030)

12.4.5.3. Market Revenue and Forecast, by Application (2017-2030)

12.4.5.4. Market Revenue and Forecast, by End-Use (2017-2030)

12.4.6. North Africa

12.4.6.1. Market Revenue and Forecast, by Technology (2017-2030)

12.4.6.2. Market Revenue and Forecast, by Type (2017-2030)

12.4.6.3. Market Revenue and Forecast, by Application (2017-2030)

12.4.6.4. Market Revenue and Forecast, by End-Use (2017-2030)

12.4.7. South Africa

12.4.7.1. Market Revenue and Forecast, by Technology (2017-2030)

12.4.7.2. Market Revenue and Forecast, by Type (2017-2030)

12.4.7.3. Market Revenue and Forecast, by Application (2017-2030)

12.4.7.4. Market Revenue and Forecast, by End-Use (2017-2030)

12.4.8. Rest of MEA

12.4.8.1. Market Revenue and Forecast, by Technology (2017-2030)

12.4.8.2. Market Revenue and Forecast, by Type (2017-2030)

12.4.8.3. Market Revenue and Forecast, by Application (2017-2030)

12.4.8.4. Market Revenue and Forecast, by End-Use (2017-2030)

12.5. Latin America

12.5.1. Market Revenue and Forecast, by Technology (2017-2030)

12.5.2. Market Revenue and Forecast, by Type (2017-2030)

12.5.3. Market Revenue and Forecast, by Application (2017-2030)

12.5.4. Market Revenue and Forecast, by End-Use (2017-2030)

12.5.5. Brazil

12.5.5.1. Market Revenue and Forecast, by Technology (2017-2030)

12.5.5.2. Market Revenue and Forecast, by Type (2017-2030)

12.5.5.3. Market Revenue and Forecast, by Application (2017-2030)

12.5.5.4. Market Revenue and Forecast, by End-Use (2017-2030)

12.5.6. Rest of LATAM

12.5.6.1. Market Revenue and Forecast, by Technology (2017-2030)

12.5.6.2. Market Revenue and Forecast, by Type (2017-2030)

12.5.6.3. Market Revenue and Forecast, by Application (2017-2030)

12.5.6.4. Market Revenue and Forecast, by End-Use (2017-2030)

Chapter 13. Company Profiles

13.1. General Electric

13.1.1. Company Overview

13.1.2. Product Offerings

13.1.3. Financial Performance

13.1.4. Recent Initiatives

13.2. Ansys

13.2.1. Company Overview

13.2.2. Product Offerings

13.2.3. Financial Performance

13.2.4. Recent Initiatives

13.3. Atos

13.3.1. Company Overview

13.3.2. Product Offerings

13.3.3. Financial Performance

13.3.4. Recent Initiatives

13.4. Dassault Systems (3DS System)

13.4.1. Company Overview

13.4.2. Product Offerings

13.4.3. Financial Performance

13.4.4. Recent Initiatives

13.5. Microsoft

13.5.1. Company Overview

13.5.2. Product Offerings

13.5.3. Financial Performance

13.5.4. Recent Initiatives

13.6. Philips Healthcare

13.6.1. Company Overview

13.6.2. Product Offerings

13.6.3. Financial Performance

13.6.4. Recent Initiatives

13.7. IQVIA

13.7.1. Company Overview

13.7.2. Product Offerings

13.7.3. Financial Performance

13.7.4. Recent Initiatives

13.8. Verto Healthcare

13.8.1. Company Overview

13.8.2. Product Offerings

13.8.3. Financial Performance

13.8.4. Recent Initiatives

13.9. ThoughWire

13.9.1. Company Overview

13.9.2. Product Offerings

13.9.3. Financial Performance

13.9.4. Recent Initiatives

13.10. Fasttream Technologies

13.10.1. Company Overview

13.10.2. Product Offerings

13.10.3. Financial Performance

13.10.4. Recent Initiatives

Chapter 14. Research Methodology

14.1. Primary Research

14.2. Secondary Research

14.3. Assumptions

Chapter 15. Appendix

15.1. About Us

15.2. Glossary of Terms

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