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
Market Segmentation
By Technology Outlook
By Type Outlook
By Application Outlook
By End-Use Outlook
By Regional Outlook
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