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Report Description
The digital twin market in healthcare and pharmaceutical industry is estimated to be around USD 1 billion in 2022 and is growing at a healthy compounded annual growth rate (CAGR) of 30% during the forecast period. The research and development behind a new drug is reported to require, on an average, an investment of nearly USD 1 billion. At present, over 90% of the drug candidates fail across different stages of clinical trials, leading to significant financial losses for developers. In recent years, with the introduction of industry 4.0 technologies, such as augmented reality, big data, internet of things (IoT) and virtual reality, the digital twin technology has emerged as a promising approach to mitigate a number of the aforementioned healthcare related concerns. Digital Twins refer to the virtual model of a physical object, process or service; such models are able to replicate real-life processes in order to collect real-time data to predict their performance. Further, digital twins have been shown to pace up the clinical trials and simulate studies for a larger population, in much quicker timelines. In fact, a group of researchers engaged in the classification of drug risks using digital twins claim that an extended version of the model could help save up to USD 2.5 billion spent on design and testing new drugs. Several digital twins have been found to be reliable in the diagnosis / treatment of various diseases and are, hence, expected to reduce the excessive cost spent on false medical diagnosis. It is worth mentioning that, on an annual basis, medical errors are expected to lead to a loss of nearly USD 20 billion in the US. Therefore, digital twins are believed to have the potential to enable significant cost savings. As a result, about 15% of organizations that implement IoT projects have already started using digital twin platforms, while over 60% of the firms are either planning or in the process of establishing digital twin technology in their processes, in the near future.
The Digital Twin Market, Distribution by Therapeutic Area (Cardiovascular Disorders, Metabolic Disorders, Orthopedic Disorders, and Other Disorders), Type of Digital Twin (Process Digital Twin, System Digital Twin, Whole Body Digital Twin and Body Part Digital Twin), Area of Application (Asset / Process Management, Personalized Treatment, Surgical Planning, Diagnosis and Other Applications), End Users (Pharmaceutical Companies, Medical Device Manufacturers, Healthcare Providers, Patients and Other End Users) and Key Geographical Regions (North America, Europe, Asia, Latin America, Middle East and North Africa, and Rest of the World): Industry Trends and Global Forecasts, 2022-2035 report features an extensive study of the market size, market trends and market forecast offering an informed opinion on the likely adoption of digital twins in the healthcare industry, during the forecast period 2023-2035. The market research report answers several key questions related to the digital twin market.
Digital twin technology companies are currently engaged in the development of products which are intended for numerous applications, such as asset / process management, personalized treatment and surgical planning. There are several marketed digital twin solutions available for adoption by the end-users, mainly provided by AI companies. However, a few big pharma companies are also working on developing digital twin applications for in-house use. As an example, Takeda launched a digital twin for Crohn’s disease, which will help the physicians find the best treatment option for Crohn’s patients. Based on our market research, majority of the digital twin platforms employ the use of artificial intelligence, followed by virtual reality. In addition to the already marketed platforms, the industry will witness the launch of several innovative digital twin solutions specifically designed for use in the healthcare and pharmaceutical industry during the forecast period.
A majority of digital twin solutions are focused on empowering cardiovascular research and treatment. These digital cardiac twins are supporting both personalized treatment as well as surgical planning. According to the World Health Organization (WHO), cardiovascular diseases are the leading cause of death across the world. With an estimated 244.1 million people living with ischemic heart disease and 89.1 million cases of stroke in 2020 alone , the need for improving the disease management strategies will drive the adoption of cardiac digital twin solutions during the forecast period, supporting the market growth.
However, companies are also evaluating digital twins for indications beyond cardiovascular diseases as well. More recently, Twin Health announced positive results from the clinical trial of its digital twin solution for diabetes management. According to the published results, 95% of the 199 enrolled diabetes patients saw their HbA1C levels drop below 6.5% after six months of the clinical trial initiation. The North America based developer of whole body digital twin solution has also raised funds through four funding rounds, to scale the development of its digital twin technology.
A number of digital twin solutions have been found reliable in several healthcare applications, such as diagnosis, health monitoring and medical training. However, more recently the application of digital twin technology in the area of manufacturing and clinical trials has generated a lot of attention. In October 2022, Sanofi announced its plans to optimize its vaccine manufacturing process through use of Dassault Systèmes’ digital twin platform. The digital twin technology will be implemented at Sanofi’s Evolutive manufacturing plants in France and Singapore. Another vaccine manufacturer, GSK collaborated with Siemens and Atos in 2020 to pilot a digital twin for its entire vaccine manufacturing process. All these efforts have been driven by the need to speed vaccine manufacturing, that was created by COVID-19.
At the same time, digital twin solutions are also supporting clinical trials. Digital twins leverage artificial intelligence and machine learning to accelerate and transform clinical trial studies. Unlearn.AI, a start-up, has developed digital twin models, which are currently used by several pharmaceutical companies in order to accelerate clinical trial timelines. One such partnership was with Merck KGaA in February 2022 with the aim to accelerate immunology trials. Such innovative applications of the digital twins will lead to consistent market growth during the forecast period.
It is also important to note that, over the past few years, there has been acceptance of the digital twin technology in healthcare. For instance, in September 2022, European Medicines Agency (EMA) released a favorable qualification opinion for TwinRCT™ solution, for implementation in AI-generated prognostic digital twins being evaluated in phase II and phase III clinical trials. The implementation of North America based Unlearn.AI’s digital twin solution is likely to help reduce the sample size in phase 2 and 3 clinical trials. Such government initiatives reflect their faith in the work of digital twin companies to support the drug development efforts. These developments will support the digital twin market growth in Europe at a compounded annual growth rate (CAGR) higher than North America during the forecast period.
The growing interest in digital twin market can be validated from the fact that, in the last two years, close to USD 6 billion has been invested by several investors based across the globe, in companies engaged in the development or those offering digital twins. Majority of the funds have been raised through venture rounds. In terms of the amount of funds raised, Babylon Health and Certara are the leading digital twin companies, essentially owing to their IPOs in 2021.
Interestingly, the partnership activity in the industry has also witnessed a growth rate of over 15%, in the past three years. Consistent support from the venture capital firms will ensure the development of digital twins for healthcare industry. Additionally, the digital twin startups are catering to the growing needs of their healthcare and pharmaceutical clients and are coming up with innovative software’s helping the industry from creating digital twins of patient anatomies to predicting disorders in individuals based on DNA-based digital twin.
Several recent developments have taken place in the field of digital twin market. We have outlined some of these recent initiatives below. These developments, even if they took place post the release of our market report, substantiate the overall market trends that have been outlined in our analysis.
| Market Segments | Details | |
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Forecast Period |
2022 – 2035 |
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Market Size 2022 |
$0.98 billion |
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CAGR (2022-2035) |
30% |
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| Base Year | 2021 | |
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Therapeutic Area |
Cardiovascular Disorders, Metabolic Disorders, Orthopedic Disorders, Other Disorders |
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Type of Digital Twin |
Process Digital Twin, System Digital Twin, Whole Body Digital Twin, Body Part Digital Twin |
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Area of Application |
Asset / Process Management, Personalized Treatment, Surgical Planning, Diagnosis, Other Applications |
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End Users |
Pharmaceutical Companies, Medical Device Manufacturers, Healthcare Providers, Patients, Other End Users |
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Key Geographical Regions |
North America, Europe, Asia, Latin America, Middle East and North Africa, Rest of the World |
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Customization Scope |
15% Free Customization Option (equivalent to 5 analyst working days) |
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The report features an in-depth analysis, highlighting the capabilities of various stakeholders engaged in digital twin industry. Amongst other elements, the report includes:
The opinions and insights presented in the report were influenced by discussions held with multiple stakeholders in this industry. The report features detailed transcripts of interviews held with several industry stakeholders.
All actual figures have been sourced and analyzed from publicly available information forums and primary research discussions. Financial figures mentioned in this report are in USD, unless otherwise specified.
Contents
1. PREFACE
1.1. Scope of the Report
1.2. Market Segmentation
1.3. Research Methodology
1.4. Key Questions Answered
1.5. Chapter Outlines
2. EXECUTIVE SUMMARY
3. INTRODUCTION
3.1 Chapter Overview
3.2. Overview of Digital Twins in Healthcare
3.3.1. Types of Digital Twins Used in Healthcare
3.3.1. Process Twin
3.3.2. System Twin
3.3.3. Human Body Twin
3.4. Primary Applications of Digital Twins in the Healthcare Domain
3.4.1. Asset / Process Management
3.4.2. Evaluation of Clinical Trials
3.4.3. Personalized Treatment
3.4.4. Surgical Planning
3.5. Concluding Remarks
4. MARKET LANDSCAPE
4.1. Chapter Overview
4.2. Digital Twins in Healthcare: Overall Market Landscape
4.2.1. Analysis by Status of Development
4.2.2. Analysis by Therapeutic Area
4.2.3. Analysis by Area(s) of Application
4.2.4. Analysis by Type of Technology Used
4.2.5. Analysis by End User
4.2.6. Analysis by Type of Digital Twin
4.3. Digital Twins in Healthcare: Developers Landscape
4.3.1. Analysis by Year of Establishment
4.3.2. Analysis by Company Size
4.3.3. Analysis by Location of Headquarters
5. KEY INSIGHTS
5.1. Chapter Overview
5.2. Analysis by Area of Application and Status of Development (Stacked Bar Chart)
5.3. Analysis by Type of Technology Used and Type of Digital Twin (Heat Map Representation)
5.4. Analysis by Type of End User and Type of Digital Twin (Grid Representation)
5.5. Analysis by Area of Application and Location of Headquarters (Bar Chart)
5.6. Analysis by Company Size and Location of Headquarters (Hybrid Chart)
6. COMPANY COMPETITIVENESS ANALYSIS
6.1. Chapter Overview
6.2. Assumptions and Key Parameters
6.3. Methodology
6.4. Digital Twins in Healthcare: Company Competitiveness Analysis
6.4.1. Company Competitiveness Analysis: Benchmarking of Portfolio Strength
6.4.2. Company Competitiveness Analysis: Benchmarking of Partnership Activity
6.4.3. Company Competitiveness Analysis: Benchmarking of Funding Activity
6.4.4. Company Competitiveness Analysis: Very Small Companies
6.4.5. Company Competitiveness Analysis: Small Companies
6.4.6. Company Competitiveness Analysis: Mid-sized Companies
6.4.7. Company Competitiveness Analysis: Large Companies
6.4.8. Company Competitiveness Analysis: Very Large Companies
7. COMPANY PROFILES
7.1. Chapter Overview
7.2. Babylon
7.2.1. Company Overview
7.2.2. Recent Developments and Future Outlook
7.3. ExactCure
7.3.1. Company Overview
7.3.2. Recent Developments and Future Outlook
7.4. ImmersiveTouch
7.4.1. Company Overview
7.4.2. Recent Developments and Future Outlook
7.5. Navv Systems
7.5.1. Company Overview
7.5.2. Recent Developments and Future Outlook
7.6. ThoughtWire
7.6.1. Company Overview
7.6.2. Recent Developments and Future Outlook
7.7. Unlearn.AI
7.7.1. Company Overview
7.7.2. Recent Developments and Future Outlook
8. PARTNERSHIPS AND COLLABORATIONS
8.1. Chapter Overview
8.2. Digital Twins in Healthcare: Partnerships and Collaborations
8.2.1. Partnership Models
8.2.2. List of Partnerships and Collaborations
8.2.3. Analysis by Number of Partnership Instances
8.2.4. Analysis by Type of Partnership
8.2.5. Analysis by Year and Type of Partnership
8.2.6. Analysis by Type of Partnership and Company Size
8.2.7. Most Active Players: Analysis by Number of Partnerships
8.3.8. Analysis by Region
8.3.9. Intercontinental and Intracontinental Agreements
9. FUNDING AND INVESTMENTS ANALYSIS
9.1. Chapter Overview
9.2. Types of Funding
9.3. Digital Twins in Healthcare: List of Funding and Investments
9.3.1. Analysis by Number of Funding Instances
9.3.2. Analysis by Amount Invested
9.3.3. Analysis by Type of Funding
9.3.4. Analysis by Geography
9.3.5. Most Active Players: Analysis by Number of Funding Instances
9.3.6. Most Active Players: Analysis by Amount of Funding
9.3.7. Most Active Investors: Analysis by Number of Funding Instances
9.4. Concluding Remarks
10. BERKUS START-UP VALUATION ANALYSIS
10.1. Chapter Overview
10.2. Key Assumptions and Methodology
10.3. Berkus Start-Up Valuation: Total Valuation of Players
10.4. Digital Twins in Healthcare: Benchmarking of Berkus Start-Up Valuation Parameters
10.4.1. AnatoScope: Benchmarking of Berkus Start-Up Valuation Parameters
10.4.2. ExactCure: Benchmarking of Berkus Start-Up Valuation Parameters
10.4.3. Klinik Sankt Moritz: Benchmarking of Berkus Start-Up Valuation Parameters
10.4.4. KYDEA: Benchmarking of Berkus Start-Up Valuation Parameters
10.4.5. TwInsight: Benchmarking of Berkus Start-Up Valuation Parameters
10.4.6. Yokogawa Insilico Biotechnology: Benchmarking of Berkus Start-Up Valuation Parameters
10.5. Digital Twins in Healthcare: Benchmarking of Players
10.5.1. Sound Idea: Benchmarking of Players
10.5.2. Prototype: Benchmarking of Players
10.5.3. Management Experience: Benchmarking of Players
10.5.4. Strategic Relationships: Benchmarking of Players
10.5.5. Total Valuation: Benchmarking of Players
11. MARKET FORECAST
11.1. Chapter Overview
11.2. Key Assumptions and Methodology
11.3. Global Digital Twins Market, 2022-2035
11.3.1. Global Digital Twins Market: Analysis by Therapeutic Area
11.3.1.1. Global Digital Twins Market for Cardiovascular Disorders, 2022-2035
11.3.1.2. Global Digital Twins Market for Metabolic Disorders, 2022-2035
11.3.1.3. Global Digital Twins Market for Orthopedic Disorders, 2022-2035
11.3.1.4. Global Digital Twins Market for Other Disorders, 2022-2035
11.3.2. Global Digital Twins Market: Analysis by Type of Digital Twins
11.3.2.1. Global Process Twins Market, 2022-2035
11.3.2.2. Global System Twins Market, 2022-2035
11.3.2.3. Global Whole Body Twins Market, 2022-2035
11.3.2.4. Global Body Part Twins Market, 2022-2035
11.3.3. Global Digital Twins Market: Analysis by Area of Application
11.3.3.1. Global Digital Twins Market for Asset / Process Management, 2022-2035
11.3.3.2. Global Digital Twins Market for Personalized Treatment, 2022-2035
11.3.3.3. Global Digital Twins Market for Surgical Planning, 2022-2035
11.3.3.4. Global Digital Twins Market for Diagnosis, 2022-2035
11.3.3.5. Global Digital Twins Market for Other Applications, 2022-2035
11.3.4. Global Digital Twins Market: Analysis by End Users
11.3.4.1. Global Digital Twins Market for Pharmaceutical Companies, 2022-2035
11.3.4.2. Global Digital Twins Market for Medical Device Manufacturers, 2022-2035
11.3.4.3. Global Digital Twins Market for Healthcare Providers, 2022-2035
11.3.4.4. Global Digital Twins Market for Patients, 2022-2035
11.3.4.5. Global Digital Twins Market for Other End Users, 2022-2035
11.3.5. Global Digital Twins Market: Analysis by Geography
11.3.5.1. Digital Twins Market in North America, 2022-2035
11.3.5.2. Digital Twins Market in Europe, 2022-2035
11.3.5.3. Digital Twins Market in Asia, 2022-2035
11.3.5.4. Digital Twins Market in Latin America, 2022-2035
11.3.5.5. Digital Twins Market in Middle East and North Africa, 2022-2035
11.3.5.6. Digital Twins Market in Rest of the World, 2022-2035
12. CONCLUSION
13. EXECUTIVE INSIGHTS
13.1. Chapter Overview
13.2. Dassault Systèmes
13.2.1. Company Snapshot
13.2.2. Interview Transcript: Barbara Holtz, Business Consultant
13.3. TwInsight
13.3.1. Company Snapshot
13.3.2. Interview Transcript: Marek Bucki, Co-Founder and Chief Scientific Officer
13.4. Unlearn.AI
13.4.1. Company Snapshot
13.4.2. Interview Transcript: Andrew Stelzer, Business Development Executive
13.5. Yokogawa Insilico Biotechnology
13.5.1. Company Snapshot
13.5.2. Interview Transcript: Klaus Mauch, Managing Director and Chief Executive Officer
14. APPENDIX I: TABULATED DATA
15. APPENDIX II: LIST OF COMPANIES AND ORGANIZATIONS
Figure 3.1 Types of Digital Twins Used in Healthcare
Figure 3.2 Primary Applications of Digital Twins in the Healthcare Domain
Figure 4.1 Digital Twins in Healthcare: Distribution by Status of Development
Figure 4.2 Digital Twins in Healthcare: Distribution by Therapeutic Area
Figure 4.3 Digital Twins in Healthcare: Distribution by Area(s) of Application
Figure 4.4 Digital Twins in Healthcare: Distribution by Type of Technology Used
Figure 4.5 Digital Twins in Healthcare: Distribution by End User(s)
Figure 4.6 Digital Twins in Healthcare: Distribution by Type of Digital Twin
Figure 4.7 Digital Twin Developers: Distribution by Year of Establishment
Figure 4.8 Digital Twin Developers: Distribution by Company Size
Figure 4.9 Digital Twin Developers: Distribution by Location of Headquarters
Figure 5.1 Key Insights: Distribution by Area of Application and Status of Development
Figure 5.2 Key Insights: Distribution by Type of Technology Used and Type of Digital Twin
Figure 5.3 Key Insights: Distribution by Type of End User and Type of Digital Twin
Figure 5.4 Key Insights: Distribution by Area of Application and Location of Headquarters
Figure 5.5 Key Insights: Distribution by Company Size and Location of Headquarters
Figure 6.1 Company Competitiveness Analysis: Benchmarking of Portfolio Strength
Figure 6.2 Company Competitiveness Analysis: Benchmarking of Partnership Activity
Figure 6.3 Company Competitiveness Analysis: Benchmarking of Funding Activity
Figure 6.4 Company Competitiveness Analysis: Very Small Companies
Figure 6.5 Company Competitiveness Analysis: Small Companies
Figure 6.6 Company Competitiveness Analysis: Mid-sized Companies
Figure 6.7 Company Competitiveness Analysis: Large Companies
Figure 6.8 Company Competitiveness Analysis: Very Large Companies
Figure 8.1 Partnerships and Collaborations: Cumulative Year-wise Trend, 2018-2022
Figure 8.2 Partnerships and Collaborations: Distribution by Type of Partnership
Figure 8.3 Partnerships and Collaborations: Distribution by Year and Type of Partnership
Figure 8.4 Partnerships and Collaborations: Distribution by Type of Partnership and Company Size
Figure 8.5 Most Active Players: Distribution by Number of Partnerships
Figure 8.6 Partnerships and Collaborations: Local and International Agreements
Figure 8.7 Partnerships and Collaborations: Intercontinental and Intracontinental Agreements
Figure 9.1 Funding and Investment Analysis: Cumulative Year-wise Trend, 2018-2022
Figure 9.2 Funding and Investment Analysis: Cumulative Amount Invested (USD Million), 2018-2022
Figure 9.3 Funding and Investment Analysis: Distribution of Instances by Type of Funding, 2018-2022
Figure 9.4 Funding and Investment Analysis: Year-Wise Distribution by Type of Funding, 2018-2022
Figure 9.5 Funding and Investment Analysis: Distribution of Total Amount Invested (USD Million) by Type of Funding, 2018-2022
Figure 9.6 Funding and Investment Analysis: Distribution by Geography
Figure 9.7 Funding and Investment Analysis: Regional Distribution by Total Amount Invested (USD Million), 2018-2022
Figure 9.8 Most Active Players: Distribution by Number of Funding Instances, 2018-2022
Figure 9.9 Most Active Players: Distribution by Amount Raised (USD Million), 2018-2022
Figure 9.10 Most Active Investors: Distribution by Number of Funding Instances
Figure 9.11 Funding and Investment Summary, 2018-2022 (USD Million)
Figure 10.1 Berkus Start-Up Valuation: Total Valuation of Players
Figure 10.2 AnatoScope: Benchmarking of Berkus Start-Up Valuation Parameters
Figure 10.3 ExactCure: Benchmarking of Berkus Start-Up Valuation Parameters
Figure 10.4 Klinik Sankt Moritz: Benchmarking of Berkus Start-Up Valuation Parameters
Figure 10.5 KYDEA: Benchmarking of Berkus Start-Up Valuation Parameters
Figure 10.6 TwInsight: Benchmarking of Berkus Start-Up Valuation Parameters
Figure 10.7 Yokogawa Insilico Biotechnology: Benchmarking of Berkus Start-Up Valuation Parameters
Figure 10.8 Sound Idea: Benchmarking of Players
Figure 10.9 Prototype: Benchmarking of Players
Figure 10.10 Management Experience: Benchmarking of Players
Figure 10.11 Strategic Relationships: Benchmarking of Players
Figure 10.12 Total Valuation: Benchmarking of Players
Figure 11.1 Global Digital Twins Market, 2022-2035 (USD Billion)
Figure 11.2 Global Digital Twins Market: Distribution by Therapeutic Area, 2022 and 2035
Figure 11.3 Global Digital Twins Market for Cardiovascular Disorders, 2022-2035 (USD Billion)
Figure 11.4 Global Digital Twins Market for Metabolic Disorders, 2022-2035 (USD Billion)
Figure 11.5 Global Digital Twins Market for Orthopedic Disorders, 2022-2035 (USD Billion)
Figure 11.6 Global Digital Twins Market for Other Disorders, 2022-2035 (USD Billion)
Figure 11.7 Global Digital Twins Market: Distribution by Type of Digital Twins, 2022 and 2035
Figure 11.8 Global Process Twins Market, 2022-2035 (USD Billion)
Figure 11.9 Global System Twins Market, 2022-2035 (USD Billion)
Figure 11.10 Global Whole Body Twins Market, 2022-2035 (USD Billion)
Figure 11.11 Global Body Part Twins Market, 2022-2035 (USD Billion)
Figure 11.12 Global Digital Twins Market: Distribution by Area of Application, 2022 and 2035
Figure 11.13 Global Digital Twins Market for Asset / Process Management, 2022-2035 (USD Billion)
Figure 11.14 Global Digital Twins Market for Personalized Treatment, 2022-2035 (USD Billion)
Figure 11.15 Global Digital Twins Market for Surgical Planning, 2022-2035 (USD Billion)
Figure 11.16 Global Digital Twins Market for Diagnosis, 2022-2035 (USD Billion)
Figure 11.17 Global Digital Twins Market for Other Applications, 2022-2035 (USD Billion)
Figure 11.18 Global Digital Twins Market: Distribution by End Users, 2022 and 2035
Figure 11.19 Global Digital Twins Market for Pharmaceutical Companies, 2022-2035 (USD Billion)
Figure 11.20 Global Digital Twins Market for Medical Device Manufacturers, 2022-2035 (USD Billion)
Figure 11.21 Global Digital Twins Market for Healthcare Providers, 2022-2035 (USD Billion)
Figure 11.22 Global Digital Twins Market for Patients, 2022-2035 (USD Billion)
Figure 11.23 Global Digital Twins Market for Other End Users, 2022-2035 (USD Billion)
Figure 11.24 Global Digital Twins Market: Distribution by Geography, 2022 and 2035
Figure 11.25 Global Digital Twins Market in North America, 2022-2035 (USD Billion)
Figure 11.26 Global Digital Twins Market in Europe, 2022-2035 (USD Billion)
Figure 11.27 Global Digital Twins Market in Asia, 2022-2035 (USD Billion)
Figure 11.28 Global Digital Twins Market in Latin America, 2022-2035 (USD Billion)
Figure 11.29 Global Digital Twins Market in Middle East and North Africa, 2022-2035 (USD Billion)
Figure 11.30 Global Digital Twins Market in Rest of the World, 2022-2035 (USD Billion)
Figure 11.31 Global Digital Twins Market: Conservative, Base and Optimistic Scenarios 2022, 2030 and 2035 (USD Billion)
Table 4.1 Digital Twins in Healthcare: Information on Status of Development
Table 4.2 Digital Twins in Healthcare: Information on Therapeutic Area
Table 4.3 Digital Twins in Healthcare: Information on Area(s) of Application
Table 4.4 Digital Twins in Healthcare: Information on Type of Technology Used
Table 4.5 Digital Twins in Healthcare: Information on End User(s)
Table 4.6 Digital Twins in Healthcare: Information on Type of Digital Twin
Table 4.7 Digital Twins Developers: Information on Year of Establishment, Company Size, Location of Headquarters, Region of Headquarters and Number of Products
Table 6.1 Company Competitiveness Analysis: Benchmarking of Portfolio Strength
Table 6.2 Company Competitiveness Analysis: Benchmarking of Partnership Activity
Table 6.3 Company Competitiveness Analysis: Benchmarking of Funding Activity
Table 6.4 Company Competitiveness Analysis: List of Very Small Players
Table 6.5 Company Competitiveness Analysis: List of Small Players
Table 6.6 Company Competitiveness Analysis: List of Mid-sized Players
Table 6.7 Company Competitiveness Analysis: List of Large Players
Table 6.8 Company Competitiveness Analysis: List of Very Large Players
Table 7.1 List of Companies Profiled
Table 7.2 Babylon: Company Overview
Table 7.3 Babylon: Recent Developments and Future Outlook
Table 7.4 ExactCure: Company Overview
Table 7.5 ExactCure: Recent Developments and Future Outlook
Table 7.6 ImmersiveTouch: Company Overview
Table 7.7 ImmersiveTouch: Recent Developments and Future Outlook
Table 7.8 Navv Systems: Company Overview
Table 7.9 Navv Systems: Recent Developments and Future Outlook
Table 7.10 ThoughtWire: Company Overview
Table 7.11 ThoughtWire: Recent Developments and Future Outlook
Table 7.12 Unlearn.AI: Company Overview
Table 7.13 Unlearn.AI: Recent Developments and Future Outlook
Table 8.1 Partnerships and Collaborations: Information on Year of Agreement, Type of Partnership and Partner, 2018-2022
Table 8.2 Partnerships and Collaborations: Information on Type of Agreement (Region-wise and Geography-wise), 2018-2022
Table 9.1 Funding and Investments: Information on Year of Investment, Type of Funding, Amount and Investor, 2018-2022
Table 9.2 Funding and Investment Analysis: Regional Distribution by Total Amount Invested, 2018-2022
Table 10.1 Berkus Start-Up Valuation: Total Valuation of Players
Table 10.2 Digital Twins in Healthcare: Benchmarking of Berkus Start-Up Valuation Parameters
Table 10.3 Digital Twins in Healthcare: Benchmarking of Players
Table 13.1 Dassault Systèmes: Company Snapshot
Table 13.2 TwInsight: Company Snapshot
Table 13.3 Unlearn.AI: Company Snapshot
Table 13.4 Yokogawa Insilico Biotechnology: Company Snapshot
Table 14.1 Digital Twins in Healthcare: Distribution by Status of Development
Table 14.2 Digital Twins in Healthcare: Distribution by Therapeutic Area
Table 14.3 Digital Twins in Healthcare: Distribution by Area(s) of Application
Table 14.4 Digital Twins in Healthcare: Distribution by Type of Technology Used
Table 14.5 Digital Twins in Healthcare: Distribution by End User(s)
Table 14.6 Digital Twins in Healthcare: Distribution by Type of Digital Twin
Table 14.7 Digital Twin Developers: Distribution by Year of Establishment
Table 14.8 Digital Twin Developers: Distribution by Company Size
Table 14.9 Digital Twin Developers: Distribution by Location of Headquarters
Table 14.10 Partnerships and Collaborations: Cumulative Year-wise Trend, 2018-2022
Table 14.11 Partnerships and Collaborations: Distribution by Type of Partnership
Table 14.12 Partnerships and Collaborations: Distribution by Year and Type of Partnership
Table 14.13 Partnerships and Collaborations: Distribution by Type of Partnership and Company Size
Table 14.14 Most Active Players: Distribution by Number of Partnerships
Table 14.15 Partnerships and Collaborations: Local and International Agreements
Table 14.16 Partnerships and Collaborations: Intercontinental and Intracontinental Agreements
Table 14.17 Funding and Investment Analysis: Cumulative Year-wise Trend, 2018-2022
Table 14.18 Funding and Investment Analysis: Cumulative Amount Invested (USD Million), 2018-2022
Table 14.19 Funding and Investment Analysis: Distribution of Instances by Type of Funding, 2018-2022
Table 14.20 Funding and Investment Analysis: Year-Wise Distribution by Type of Funding, 2018-2022
Table 14.21 Funding and Investment Analysis: Distribution of Total Amount Invested (USD Million) by Type of Funding, 2018-2022
Table 14.22 Funding and Investment Analysis: Distribution by Geography
Table 14.23 Funding and Investment Analysis: Regional Distribution by Total Amount Invested (USD Million), 2018-2022
Table 14.24 Most Active Players: Distribution by Number of Funding Instances, 2018-2022
Table 14.25 Most Active Players: Distribution by Amount Raised (USD Million), 2018-2022
Table 14.26 Most Active Investors: Distribution by Number of Funding Instances
Table 14.27 Global Digital Twins Market, 2022-2035, Conservative, Base and Optimistic Scenarios (USD Billion)
Table 14.28 Global Digital Twins Market: Distribution by Therapeutic Area, 2022 and 2035
Table 14.29 Global Digital Twins Market for Cardiovascular Disorders, 2022-2035, Conservative, Base and Optimistic Scenarios (USD Billion)
Table 14.30 Global Digital Twins Market for Metabolic Disorders, 2022-2035, Conservative, Base and Optimistic Scenarios (USD Billion)
Table 14.31 Global Digital Twins Market for Orthopedic Disorders, 2022-2035, Conservative, Base and Optimistic Scenarios (USD Billion)
Table 14.32 Global Digital Twins Market for Other Disorders, 2022-2035, Conservative, Base and Optimistic Scenarios (USD Billion)
Table 14.33 Global Digital Twins Market: Distribution by Type of Digital Twins, 2022 and 2035
Table 14.34 Global Process Twins Market, 2022-2035, Conservative, Base and Optimistic Scenarios (USD Billion)
Table 14.35 Global System Twins Market, 2022-2035, Conservative, Base and Optimistic Scenarios (USD Billion)
Table 14.36 Global Whole Body Twins Market, 2022-2035, Conservative, Base and Optimistic Scenarios (USD Billion)
Table 14.37 Global Body Part Twins Market, 2022-2035, Conservative, Base and Optimistic Scenarios (USD Billion)
Table 14.38 Global Digital Twins Market: Distribution by Area of Application, 2022 and 2035
Table 14.39 Global Digital Twins Market for Asset / Process Management, 2022-2035, Conservative, Base and Optimistic Scenarios (USD Billion)
Table 14.40 Global Digital Twins Market for Personalized Treatment, 2022-2035, Conservative, Base and Optimistic Scenarios (USD Billion)
Table 14.41 Global Digital Twins Market for Surgical Planning, 2022-2035, Conservative, Base and Optimistic Scenarios (USD Billion)
Table 14.42 Global Digital Twins Market for Diagnosis, 2022-2035, Conservative, Base and Optimistic Scenarios (USD Billion)
Table 14.43 Global Digital Twins Market for Other Applications, 2022-2035, Conservative, Base and Optimistic Scenarios (USD Billion)
Table 14.44 Global Digital Twins Market: Distribution by End Users, 2022 and 2035
Table 14.45 Global Digital Twins Market for Pharmaceutical Companies, 2022-2035, Conservative, Base and Optimistic Scenarios (USD Billion)
Table 14.46 Global Digital Twins Market for Medical Device Manufacturers, 2022-2035, Conservative, Base and Optimistic Scenarios (USD Billion)
Table 14.47 Global Digital Twins Market for Healthcare Providers, 2022-2035, Conservative, Base and Optimistic Scenarios (USD Billion)
Table 14.48 Global Digital Twins Market for Patients, 2022-2035, Conservative, Base and Optimistic Scenarios (USD Billion)
Table 14.49 Global Digital Twins Market for Other End Users, 2022-2035, Conservative, Base and Optimistic Scenarios (USD Billion)
Table 14.50 Global Digital Twins Market: Distribution by Geography, 2022 and 2035
Table 14.51 Global Digital Twins Market in North America, 2022-2035, Conservative, Base and Optimistic Scenarios (USD Billion)
Table 14.52 Global Digital Twins Market in Europe, 2022-2035, Conservative, Base and Optimistic Scenarios (USD Billion)
Table 14.53 Global Digital Twins Market in Asia, 2022-2035, Conservative, Base and Optimistic Scenarios (USD Billion)
Table 14.54 Global Digital Twins Market in Latin America, 2022-2035, Conservative, Base and Optimistic Scenarios (USD Billion)
Table 14.55 Global Digital Twins Market in Middle East and North Africa, 2022-2035, Conservative, Base and Optimistic Scenarios (USD Billion)
Table 14.56 Global Digital Twins Market in Rest of the World, 2022-2035, Conservative, Base and Optimistic Scenarios (USD Billion)
Table 14.57 Global Digital Twins Market: Conservative, Base and Optimistic Scenarios 2022, 2030 and 2035 (USD Billion)
The following companies / institutes / government bodies and organizations have been mentioned in this report:
Source 1: https://www.ncbi.nlm.nih.gov/books/NBK499956/
Source 2: https://venturebeat.com/business/21-ways-medical-digital-twins-will-transform-healthcare/
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