Digital Twins Market by Therapeutic Area (Cardiovascular Disorders, Metabolic Disorders, Orthopedic Disorders, and Other Disorders), Type of Digital Twin (Process Twins, System Twins, Whole Body Twins and Body Part Twins), 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

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Overview

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 twins 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 technologies in their processes, in the near future.

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. Additionally, as mentioned earlier, a number of digital twin platforms have been found reliable in several healthcare applications, such as diagnosis, health monitoring and medical training. The growing interest in this market can also be validated from that 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. Interestingly, the partnership activity in the industry has also witnessed a growth rate of over 15%, in the past three years. It is also important to note that, over the past few years, there have been a significant innovation in this market space. 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. Considering the continuous innovation related to digital twins and a growing interest in automation and prognostic systems, we believe the digital twin market size is likely to evolve at a rapid pace, over the coming years.

Scope of the Report

The “Digital Twins Market, Distribution by Therapeutic Area (Cardiovascular Disorders, Metabolic Disorders, Orthopedic Disorders, and Other Disorders), Type of Digital Twin (Process Twins, System Twins, Whole Body Twins and Body Part Twins), 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 current landscape, offering an informed opinion on the likely adoption of digital twins in the healthcare domain, till 2035. The report features an in-depth analysis, highlighting the capabilities of various stakeholders engaged in this market space. Amongst other elements, the report includes:

  • An executive summary of the key insights captured during our research., offering a high-level view on the current state of the digital twins market and its likely evolution in the short to mid and long term.
  • A brief introduction to important concepts related to digital twins, featuring information on various types of digital twins and its primary applications in the healthcare domain. Further, this chapter features details related to the recent advancements that have been reported in this market space.
  • A detailed overview of the current market landscape of players engaged in the development of digital twins, along with information on their year of establishment, company size and location of headquarters. Further, it highlights a detailed assessment of the overall market landscape of digital twins in the healthcare domain, based on several relevant parameters, such as status of development (marketed and under development), therapeutic area (cardiovascular disorders, metabolic disorders, orthopedic disorders, and other disorders), area(s) of application (asset / process management, personalized treatment, surgical planning, diagnosis, health monitoring, clinical trials and medical training), type of technology used (artificial intelligence, virtual reality, augmented reality, blockchain and others), type of digital twin (body part twin, whole body twin, process twin and system twin) and end users (healthcare providers, pharmaceutical companies, medical device manufacturers, patients and others).
  • An in-depth analysis, highlighting the contemporary market trends, using five schematic representations, including a stacked bar chart representation (based on area(s) of application and status of development), a heat map representation (based on type of technology used and type of digital twin), a grid representation (based on  type of end user and type of digital twin),  a bar chart representation (based  on area of application and location of headquarters), a hybrid chart representation comparing the players engaged in the digital twins in healthcare domain (based on company size and location of headquarters).
  • An insightful competitiveness analysis of players involved in the production / development of digital twins in the healthcare domain, based on several relevant parameters, such as years of experience, portfolio strength (in terms of number of products, status of development, area(s) of application, technology used, end user(s) and type of twin(s)), partnership strength (in terms of number of partnerships, year of partnerships, and type of partnership) and funding strength (in terms of number of funding instances, amount of funding, year of funding and type of funding). 
  • Elaborate profiles of various prominent players that are currently engaged in the digital twins domain. Each company profile features a brief overview of the company (including information on its year of establishment, number of employees, location of headquarters and key members of the executive team), details related to its recent developments and an informed future outlook.
  • An insightful analysis of the partnerships inked between various stakeholders, during the period 2018-2022, covering acquisitions, mergers, development agreements, technology integration agreements and technology utilization agreements.
  • An analysis of funding and investments received by players engaged in digital twins domain, during the period 2018-2022, including grants, debt, seed funding, venture series, initial public offering, secondary offerings, private placements, private equity and other equity.
  • A proprietary analysis to evaluate start-ups engaged in this market space, by assigning monetary values to various competition differentiators possessed by a player, based on the Berkus start-up valuation parameters, including sound idea, prototype, management experience and strategic relationships undertaken by market players.
  • A detailed market forecast analysis, highlighting the likely growth of the digital twins market, for the period 2022-2035. Additionally, the report features the likely distribution of current and forecasted opportunity across various segments, such as therapeutic area (cardiovascular disorders, metabolic disorders, orthopedic disorders and other disorders), type of digital twin (process twins, system twins, whole body twins and body part twins), area(s) 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).

The opinions and insights presented in the report were influenced by discussions held with multiple stakeholders in this domain. 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.

Frequently Asked Questions

  • What are digital twins? How is digital twin technology used in healthcare? 
  • Who are the leading players developing digital twins for the healthcare domain?
  • Which type of digital twin is most commonly offered by developers engaged in this market space?
  • What is the relative competitiveness of different players engaged in the digital twins domain?
  • What is the likely valuation of start-ups involved in the development of digital twins for the healthcare sector?
  • What is the present and likely future demand for digital twins in the overall healthcare sector?
  • What are the anticipated future trends related to digital twins in the healthcare domain?
  • How is the current and future opportunity likely to be distributed across key market segments?

Contents

Table Of 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

List Of Figures

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)

List Of Tables

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)

List Of Companies

The following companies / institutes / government bodies and organizations have been mentioned in this report:

  1. 8VC
  2. ABB
  3. AlbaCore Capital
  4. Alkuri Global Acquisition
  5. Alumni Ventures
  6. AMF Pensionsförsäkring
  7. AnatoScope
  8. Andreessen Horowitz
  9. Ansys
  10. Arboretum Ventures
  11. AstraZeneca
  12. Atos
  13. Babylon
  14. Bank of Canada
  15. Barclays
  16. Bentley Systems
  17. BINOCS
  18. BofA Securities
  19. Capital One Securities
  20. Certara
  21. Comerica Bank
  22. CORYS
  23. CPI
  24. Credit Suisse
  25. Cytiva
  26. Dassault Systèmes
  27. DayToDay
  28. DCVC
  29. DEO
  30. Eisai
  31. Elaia
  32. Empa
  33. Epic Capital Wealth Management
  34. EPIC Ventures
  35. European Innovation Council
  36. ExactCure
  37. FEops
  38. GE
  39. Google Cloud
  40. GSK
  41. Henry Ford Innovations
  42. Higi
  43. HP
  44. ICONIQ Growth
  45. ImmersiveTouch
  46. inHEART
  47. Insight Partners
  48. Insilico Biotechnology (Acquired by Yokogawa)
  49. IT-Translation
  50. Janssen
  51. Jefferies
  52. Khosla Ventures
  53. Kinnevik
  54. Klinik Sankt Moritz
  55. KYDEA
  56. Lahey Hospital & Medical Center
  57. LOP.AI
  58. Mayo Clinic
  59. Medical University of South Carolina
  60. Merck
  61. Meyer Chroma Technology
  62. Microsoft Azure
  63. Morgan Stanley
  64. Mubadala Capital
  65. Mubadala Investment Company
  66. Munich Re/ERGO Corporate Venture Fund
  67. Navv Systems
  68. ONRAD
  69. Optimo Medical
  70. ORTEN
  71. Pfizer
  72. PharmaPendium
  73. Philips
  74. Public Investment Fund
  75. Q Bio
  76. Radical ventures
  77. Round 13 Capital
  78. Royal Wolverhampton NHS Trust
  79. Schneider Electric
  80. Sectoral Asset Management
  81. Sequoia Capital India
  82. Siemens Healthineers
  83. Sim&Cure
  84. Sinai Health
  85. Swedbank Robur
  86. Tata Consultancy Services
  87. Teva Pharmaceutical
  88. ThoughtWire
  89. Twin Health
  90. TwInsight
  91. University of Strathclyde
  92. Unlearn.AI
  93. Vedanta
  94. VNV Global
  95. William Blair
  96. Yaletown Partners
  97. Yokogawa Insilico Biotechnology

Source 1: https://www.ncbi.nlm.nih.gov/books/NBK499956/
Source 2: https://venturebeat.com/business/21-ways-medical-digital-twins-will-transform-healthcare/
Source 3: https://lsspjournal.biomedcentral.com/articles/10.1186/s40504-021-00113-x

 

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