Digital Twins in Healthcare Market

Digital Twins in Healthcare Market, Industry Trends and Global Forecasts, till 2035 - 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), Areas 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)

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Table Of Contents

1. PREFACE
1.1. Digital Twins in Healthcare Market: Market Overview
1.2. Market Share Insights
1.3. Market Segmentation Overview
1.4. Key Market Insights
1.5. Report Coverage
1.6. Key Questions Answered
1.7. Chapter Outlines

2. RESEARCH METHODOLOGY
2.1. Chapter Overview
2.2. Research Assumptions
2.3. Project Methodology
2.4. Forecast Methodology
2.5. Robust Quality Control
2.6. Key Market Segmentations

2.7. Key Considerations
2.7.1. Demographics
2.7.2. Economic Factors
2.7.3. Government Regulations
2.7.4. Supply Chain
2.7.5. COVID Impact / Related Factors
2.7.6. Market Access
2.7.7. Healthcare Policies
2.7.8. Industry Consolidation

3. ECONOMIC AND OTHER PROJECT SPECIFIC CONSIDERATIONS
3.1. Chapter Overview
3.2. Market Dynamics
3.2.1. Time Period
3.2.1.1. Historical Trends
3.2.1.2. Current and Forecasted Estimates

3.2.2. Currency Coverage
3.2.2.1. Overview of Major Currencies Affecting the Market
3.2.2.2. Impact of Currency Fluctuations on the Industry

3.2.3. Foreign Exchange Impact
3.2.3.1. Evaluation of Foreign Exchange Rates and their Impact on Market
3.2.3.2. Strategies for Mitigating Foreign Exchange Risk

3.2.4. Recession
3.2.4.1. Historical Trends Analysis of Past Recessions and Lessons Learnt
3.2.4.2. Assessment of Current Economic Conditions and Potential Impact on the Market

3.2.5. Inflation
3.2.5.1. Measurement and Analysis of Inflationary Pressures in the Economy
3.2.5.2. Potential Impact of Inflation on the Market Evolution

4. EXECUTIVE SUMMARY

5. INTRODUCTION
5.1. Chapter Overview
5.2. Overview of Digital Twins in Healthcare
5.3. Types of Digital Twins Used in Healthcare
5.3.1. System Twin
5.3.2. Process Twin
5.3.3. Human Digital Twin

5.4. Applications of Digital Twins in the Healthcare Domain
5.4.1. Asset / Process Management
5.4.2. Clinical Trial Evaluation
5.4.3. Personalized Medicine
5.4.4. Surgical Planning

5.5. Challenges Associated with the Adoption of Digital Twins
5.6. Concluding Remarks

6. MARKET LANDSCAPE
6.1. Chapter Overview
6.2. Digital Twins in Healthcare: Overall Market Landscape
6.2.1. Analysis by Development Status
6.2.2. Analysis by Therapeutic Area
6.2.3. Analysis by Area of Application
6.2.4. Analysis by Type of Technology Used
6.2.5. Analysis by End Users
6.2.6. Analysis by Type of Digital Twin

6.3. Digital Twins in Healthcare: Developer Landscape
6.3.1. Analysis by Year of Establishment
6.3.2. Analysis by Company Size
6.3.3. Analysis by Location of Headquarters

7. KEY INSIGHTS
7.1. Chapter Overview
7.2. Analysis by Area of Application and Development Status
7.3. Analysis by Type of Technology Used and Type of Digital Twin
7.4. Analysis by Type of End User and Type of Digital Twin
7.5. Analysis by Location of Headquarters and Area of Application
7.6. Analysis by Company Size and Location of Headquarters

8. COMPANY COMPETITIVENESS ANALYSIS
8.1. Chapter Overview
8.2. Assumptions and Key Parameters
8.3. Methodology

8.4. Digital Twins in Healthcare: Company Competitiveness Analysis
8.4.1. Company Competitiveness Analysis: Benchmarking of Portfolio Strength
8.4.2. Company Competitiveness Analysis: Benchmarking of Partnership Activity
8.4.3. Company Competitiveness Analysis: Benchmarking of Funding Activity
8.4.4. Company Competitiveness Analysis: Players Based in North America
8.4.5. Company Competitiveness Analysis: Players Based in Europe
8.4.6. Company Competitiveness Analysis: Players Based in Asia and Rest of the World

9. DETAILED COMPANY PROFILES
9.1. Chapter Overview
9.2. BigBear.ai
9.2.1. Company Overview
9.2.2. Financial Information
9.2.3. Recent Developments and Future Outlook

9.3. Certara
9.3.1. Company Overview
9.3.2. Financial Information
9.3.3. Recent Developments and Future Outlook

9.4. Dassault Systèmes
9.4.1. Company Overview
9.4.2. Financial Information
9.4.3. Recent Developments and Future Outlook

9.5. NavvTrack
9.5.1. Company Overview
9.5.2. Recent Developments and Future Outlook

9.6. Unlearn.ai
9.6.1. Company Overview
9.6.2. Recent Developments and Future Outlook

10. TABULATED COMPANY PROFILES
10.1. Chapter Overview
10.2. Players Based in North America
10.2.1. OnScale
10.2.2. Phesi
10.2.3. Twin Health
10.2.4. Verto
10.2.5. VictoryXR

10.3. Players Based in Europe
10.3.1. DEO
10.3.2. PrediSurge
10.3.3. Virtonomy

10.4. Players Based in Asia
10.4.1. Mesh Bio
10.4.2. SingHealth

11. PARTNERSHIPS AND COLLABORATIONS
11.1. Chapter Overview
11.2. Digital Twins in Healthcare: Partnerships and Collaborations
11.2.1. Partnership Models
11.2.2. List of Partnerships and Collaborations
11.2.3. Analysis by Year of Partnership
11.2.4. Analysis by Type of Partnership
11.2.5. Analysis by Year and Type of Partnership
11.2.6. Analysis by Type of Partnership and Company Size
11.2.7. Most Active Players: Analysis by Number of Partnerships
11.2.8. Local and International Agreements
11.2.9. Intercontinental and Intracontinental Agreements

12. FUNDING AND INVESTMENTS ANALYSIS
12.1. Chapter Overview
12.2. Types of Funding

12.3. Digital Twins in Healthcare: List of Funding and Investments
12.3.1. Analysis by Number of Funding Instances
12.3.2. Analysis by Amount Invested
12.3.3. Analysis by Type of Funding
12.3.4. Analysis by Geography
12.3.5. Most Active Players: Analysis by Number of Funding Instances
12.3.6. Most Active Players: Analysis by Amount of Funding
12.3.7. Most Active Investors: Analysis by Number of Funding Instances

12.4. Concluding Remarks

13. BERKUS START-UP VALUATION ANALYSIS
13.1. Chapter Overview
13.2. Key Assumptions and Methodology
13.3. Berkus Start-Up Valuation: Total Valuation of Players

13.4. Digital Twins in Healthcare: Benchmarking of Berkus Start-Up Valuation Parameters
13.4.1. AI Body: Benchmarking of Berkus Start-Up Valuation Parameters
13.4.2. AnatoScope: Benchmarking of Berkus Start-Up Valuation Parameters
13.4.3. Antleron: Benchmarking of Berkus Start-Up Valuation Parameters
13.4.4. EmbodyBio: Benchmarking of Berkus Start-Up Valuation Parameters
13.4.5. Klinik Sankt Moritz: Benchmarking of Berkus Start-Up Valuation Parameters
13.4.6. KYDEA: Benchmarking of Berkus Start-Up Valuation Parameters
13.4.7. MAI: Benchmarking of Berkus Start-Up Valuation Parameters
13.4.8. Mindback AI: Benchmarking of Berkus Start-Up Valuation Parameters
13.4.9. Neo PLM: Benchmarking of Berkus Start-Up Valuation Parameters
13.4.10. Twinsight: Benchmarking of Berkus Start-Up Valuation Parameters
13.4.11. Yokogawa Insilico Biotechnology: Benchmarking of Berkus Start-Up Valuation Parameters

13.5. Digital Twins in Healthcare: Benchmarking of Players
13.5.1. Sound Idea: Benchmarking of Players
13.5.2. Prototype: Benchmarking of Players
13.5.3. Management Experience: Benchmarking of Players
13.5.4. Strategic Relationships: Benchmarking of Players
13.5.5. Total Valuation: Benchmarking of Players

14. MARKET IMPACT ANALYSIS: DRIVERS, RESTRAINTS, OPPORTUNITIES AND CHALLENGES
14.1. Chapter Overview
14.2. Market Drivers
14.3. Market Restraints
14.4. Market Opportunities
14.5. Market Challenges
14.6. Conclusion

15. GLOBAL DIGITAL TWIN IN HEALTHCARE MARKET
15.1. Chapter Overview
15.2. Assumptions and Methodology
15.3. Global Digital Twin in Healthcare Market, Historical Trends (2018-2023) and Forecasted Estimates (2024-2035)
15.3.1. Scenario Analysis

15.4. Key Market Segmentations

16. DIGITAL TWIN IN HEALTHCARE MARKET, BY THERAPEUTIC AREA
16.1. Chapter Overview
16.2. Key Assumptions and Methodology
16.3. Cardiovascular Disorders: Historical Trends (2018-2023) and Forecasted Estimates (2024-2035)
16.4. Metabolic Disorders: Historical Trends (2018-2023) and Forecasted Estimates (2024-2035)
16.5. Orthopedic Disorders: Historical Trends (2018-2023) and Forecasted Estimates (2024-2035)
16.6. Other Disorders: Historical Trends (2018-2023) and Forecasted Estimates (2024-2035)
16.7. Data Triangulation and Validation

17. DIGITAL TWIN IN HEALTHCARE MARKET, BY TYPE OF DIGITAL TWINS
17.1. Chapter Overview
17.2. Key Assumptions and Methodology
17.3. Process Twins: Historical Trends (2018-2023) and Forecasted Estimates (2024-2035)
17.4. System Twins: Historical Trends (2018-2023) and Forecasted Estimates (2024-2035)
17.5. Whole Body Twins: Historical Trends (2018-2023) and Forecasted Estimates (2024-2035)
17.6. Body Part Twins: Historical Trends (2018-2023) and Forecasted Estimates (2024-2035)
17.7. Data Triangulation and Validation

18. DIGITAL TWIN IN HEALTHCARE MARKET, BY AREA OF APPLICATION
18.1. Chapter Overview
18.2. Key Assumptions and Methodology
18.3. Asset / Process Management: Historical Trends (2018-2023) and Forecasted Estimates (2024-2035)
18.4. Personalized Treatment: Historical Trends (2018-2023) and Forecasted Estimates (2024-2035)
18.5. Surgical Planning: Historical Trends (2018-2023) and Forecasted Estimates (2024-2035)
18.6. Diagnosis: Historical Trends (2018-2023) and Forecasted Estimates (2024-2035)
18.7. Other Applications: Historical Trends (2018-2023) and Forecasted Estimates (2024-2035)
18.8. Data Triangulation and Validation

19. DIGITAL TWIN IN HEALTHCARE MARKET, BY END USERS
19.1. Chapter Overview
19.2. Key Assumptions and Methodology
19.3. Pharmaceutical Companies: Historical Trends (2018-2023) and Forecasted Estimates (2024-2035)
19.4. Medical Device Manufacturers: Historical Trends (2018-2023) and Forecasted Estimates (2024-2035)
19.5. Healthcare Providers: Historical Trends (2018-2023) and Forecasted Estimates (2024-2035)
19.6. Patients: Historical Trends (2018-2023) and Forecasted Estimates (2024-2035)
19.7. Other End Users: Historical Trends (2018-2023) and Forecasted Estimates (2024-2035)
19.8. Data Triangulation and Validation

20. DIGITAL TWIN IN HEALTHCARE MARKET, BY GEOGRAPHY
20.1. Chapter Overview
20.2. Key Assumptions and Methodology

20.3. North America: Historical Trends (2018-2023) and Forecasted Estimates (2024-2035)
20.3.1. US: Historical Trends (2018-2023) and Forecasted Estimates (2024-2035)
20.3.2. Canada: Historical Trends (2018-2023) and Forecasted Estimates (2024-2035)

20.4. Europe: Historical Trends (2018-2023) and Forecasted Estimates (2024-2035)
20.4.1. France: Historical Trends (2018-2023) and Forecasted Estimates (2024-2035)
20.4.2. Germany: Historical Trends (2018-2023) and Forecasted Estimates (2024-2035)
20.4.3. Italy: Historical Trends (2018-2023) and Forecasted Estimates (2024-2035)
20.4.4. Spain: Historical Trends (2018-2023) and Forecasted Estimates (2024-2035)
20.4.5. UK: Historical Trends (2018-2023) and Forecasted Estimates (2024-2035)
20.4.6. Rest of Europe: Historical Trends (2018-2023) and Forecasted Estimates (2024-2035)

20.5. Asia: Historical Trends (2018-2023) and Forecasted Estimates (2024-2035)
20.5.1. China: Historical Trends (2018-2023) and Forecasted Estimates (2024-2035)
20.5.2. India: Historical Trends (2018-2023) and Forecasted Estimates (2024-2035)
20.5.3. Japan: Historical Trends (2018-2023) and Forecasted Estimates (2024-2035)
20.5.4. Singapore: Historical Trends (2018-2023) and Forecasted Estimates (2024-2035)
20.5.5. South Korea: Historical Trends (2018-2023) and Forecasted Estimates (2024-2035)
20.5.6. Rest of Asia: Historical Trends (2018-2023) and Forecasted Estimates (2024-2035)

20.6. Latin America: Historical Trends (2018-2023) and Forecasted Estimates (2024-2035)
20.6.1. Brazil: Historical Trends (2018-2023) and Forecasted Estimates (2024-2035)

20.7. Middle East and North Africa: Historical Trends (2018-2023) and Forecasted Estimates (2024-2035)
20.7.1. UAE: Historical Trends (2018-2023) and Forecasted Estimates (2024-2035)

20.8. Rest of the World: Historical Trends (2018-2023) and Forecasted Estimates (2024-2035)
20.8.1. Australia: Historical Trends (2018-2023) and Forecasted Estimates (2024-2035)
20.8.2. New Zealand: Historical Trends (2018-2023) and Forecasted Estimates (2024-2035)

20.9. Data Triangulation and Validation

21. CONCLUSION

22. EXECUTIVE INSIGHTS
22.1. Chapter Overview
22.2. Dassault Systèmes
22.2.1. Company Snapshot
22.2.2. Interview Transcript: Barbara Holtz, Business Consultant

22.3. TwInsight
22.3.1. Company Snapshot
22.3.2. Interview Transcript: Marek Bucki, Co-Founder and Chief Scientific Officer

22.4. Unlearn.AI
22.4.1. Company Snapshot
22.4.2. Interview Transcript: Andrew Stelzer, Business Development Executive

22.5. Yokogawa Insilico Biotechnology
22.5.1. Company Snapshot
22.5.2. Interview Transcript: Klaus Mauch, Managing Director and Chief Executive Officer

23. APPENDIX I: TABULATED DATA

24. APPENDIX II: LIST OF COMPANIES AND ORGANIZATIONS

List Of Figures

Figure 2.1 Research Methodology: Research Assumptions
Figure 2.2 Research Methodology: Project Methodology
Figure 2.3 Research Methodology: Forecast Methodology
Figure 2.4 Research Methodology: Robust Quality Control
Figure 2.5 Research Methodology: Key Market Segmentations
Figure 4.1 Executive Summary: Market Landscape
Figure 4.2 Executive Summary: Partnerships and Collaborations
Figure 4.3 Executive Summary: Funding and Investment Analysis
Figure 4.4 Executive Summary: Market Forecast and Opportunity Analysis (I / II)
Figure 4.5 Executive Summary: Market Forecast and Opportunity Analysis (II / II)
Figure 5.1 Types of Digital Twins Used in Healthcare
Figure 5.2 Applications of Digital Twins in the Healthcare Domain
Figure 6.1 Digital Twins: Distribution by Development Status
Figure 6.2 Digital Twins: Distribution by Therapeutic Area
Figure 6.3 Digital Twins: Distribution by Areas of Application
Figure 6.4 Digital Twins: Distribution by Type of Technology Used
Figure 6.5 Digital Twins: Distribution by End Users
Figure 6.6 Digital Twins: Distribution by Type of Digital Twin
Figure 6.7 Digital Twin Developers: Distribution by Year of Establishment
Figure 6.8 Digital Twin Developers: Distribution by Company Size
Figure 6.9 Digital Twin Developers: Distribution by Location of Headquarters
Figure 7.1 Key Insights: Distribution by Area of Application and Development Status
Figure 7.2 Key Insights: Distribution by Type of Technology Used and Type of Digital Twin
Figure 7.3 Key Insights: Distribution by Type of End User and Type of Digital Twin
Figure 7.4 Key Insights: Distribution by Location of Headquarters and Area of Application
Figure 7.5 Key Insights: Distribution by Company Size and Location of Headquarters
Figure 8.1 Company Competitiveness Analysis: Benchmarking of Portfolio Strength
Figure 8.2 Company Competitiveness Analysis: Benchmarking of Partnership Activity
Figure 8.3 Company Competitiveness Analysis: Benchmarking of Funding Activity
Figure 8.4 Company Competitiveness Analysis: Dot-plot Analysis of Players Based in North America
Figure 8.5 Company Competitiveness Analysis: 3-D Bubble Chart Analysis of Players Based in North America
Figure 8.6 Company Competitiveness Analysis: Dot-plot Analysis of Players Based in Europe
Figure 8.7 Company Competitiveness Analysis: 3-D Bubble Chart Analysis of Players Based in Europe
Figure 8.8 Company Competitiveness Analysis: 3-D Bubble Chart Analysis of Players Based in Asia and Rest of the World
Figure 9.1 BigBear.ai: Annual Revenues, 2021-Q3 2023 (USD Million)
Figure 9.2 Certara: Annual Revenues, 2020-Q3 2023 (USD Million)
Figure 9.3 Dassault Systèmes: Annual Revenues, 2019-Q3 2023 (EUR Billion)
Figure 11.1 Partnerships and Collaborations: Cumulative Year-wise Trend, 2018-2023
Figure 11.2 Partnerships and Collaborations: Distribution by Type of Partnership
Figure 11.3 Partnerships and Collaborations: Distribution by Year and Type of Partnership
Figure 11.4 Partnerships and Collaborations: Distribution by Type of Partnership and Company Size
Figure 11.5 Most Active Players: Distribution by Number of Partnerships
Figure 11.6 Partnerships and Collaborations: Local and International Agreements
Figure 11.7 Partnerships and Collaborations: Intercontinental and Intracontinental Agreements
Figure 12.1 Funding and Investment Analysis: Cumulative Year-wise Trend, 2018-2023
Figure 12.2 Funding and Investment Analysis: Cumulative Amount Invested (USD Million), 2018-2023
Figure 12.3 Funding and Investment Analysis: Distribution of Instances by Type of Funding, 2018-2023
Figure 12.4 Funding and Investment Analysis: Year-Wise Distribution by Type of Funding, 2018-2023
Figure 12.5 Funding and Investment Analysis: Distribution of Total Amount Invested (USD Million) by Type of Funding, 2018-2023
Figure 12.6 Funding and Investment Analysis: Distribution by Geography
Figure 12.7 Most Active Players: Distribution by Number of Funding Instances, 2018-2023
Figure 12.8 Most Active Players: Distribution by Amount Raised (USD Million), 2018-2023
Figure 12.9 Funding and Investment Summary, 2018-2023 (USD Million)
Figure 13.1 Berkus Start-Up Valuation: Total Valuation of Players (USD Million)
Figure 13.2 AI Body: Benchmarking of Berkus Start-Up Valuation Parameters
Figure 13.3 AnatoScope: Benchmarking of Berkus Start-Up Valuation Parameters
Figure 13.4 Antleron: Benchmarking of Berkus Start-Up Valuation Parameters
Figure 13.5 EmbodyBio: Benchmarking of Berkus Start-Up Valuation Parameters
Figure 13.6 Klinik Sankt Moritz: Benchmarking of Berkus Start-Up Valuation Parameters
Figure 13.7 MAI: Benchmarking of Berkus Start-Up Valuation Parameters
Figure 13.8 Mindbank AI: Benchmarking of Berkus Start-Up Valuation Parameters
Figure 13.9 Neo PLM: Benchmarking of Berkus Start-Up Valuation Parameters
Figure 13.10 TwInsight: Benchmarking of Berkus Start-Up Valuation Parameters
Figure 13.11 Sound Idea: Benchmarking of Players
Figure 13.12 Prototype: Benchmarking of Players
Figure 13.13 Management Experience: Benchmarking of Players
Figure 13.14 Strategic Relationships: Benchmarking of Players
Figure 13.15 Total Valuation: Benchmarking of Players
Figure 14.1 Digital Twins in Healthcare: Market Drivers
Figure 14.2 Digital Twins in Healthcare: Market Restraints
Figure 14.3 Digital Twins in Healthcare: Market Opportunities
Figure 14.4 Digital Twins in Healthcare: Market Challenges
Figure 15.1 Global Digital Twins in Healthcare Market, Historical Trends (2018-2023) and Forecasted Estimates (till 2035) (USD Billion)
Figure 15.2 Global Digital Twins in Healthcare Market, Forecasted Estimates (till 2035): Conservative Scenario (USD Billion)
Figure 15.3 Global Digital Twins in Healthcare Market, Forecasted Estimates (till 2035): Optimistic Scenario (USD Billion)
Figure 16.1 Digital Twins in Healthcare Market: Distribution by Therapeutic Area, 2018, 2024 And 2035
Figure 16.2 Digital Twins in Healthcare Market for Cardiovascular Disorders, Historical Trends (2018-2023) and Forecasted Estimates (till 2035) (USD Billion)
Figure 16.3 Digital Twins in Healthcare Market for Metabolic Disorders, Historical Trends (2018-2023) and Forecasted Estimates (till 2035) (USD Billion)
Figure 16.4 Digital Twins in Healthcare Market for Orthopedic Disorders, Historical Trends (2018-2023) and Forecasted Estimates (till 2035) (USD Billion)
Figure 16.5 Digital Twins in Healthcare Market for Other Disorders, Historical Trends (2018-2023) and Forecasted Estimates (till 2035) (USD Billion)
Figure 17.1 Digital Twins in Healthcare Market: Distribution by Type of Digital Twin, 2018, 2024 And 2035
Figure 17.2 Digital Twins in Healthcare Market for Process Twins, Historical Trends (2018-2023) and Forecasted Estimates (till 2035) (USD Billion)
Figure 17.3 Digital Twins in Healthcare Market for System Twins, Historical Trends (2018-2023) and Forecasted Estimates (till 2035) (USD Billion)
Figure 17.4 Digital Twins in Healthcare Market for Whole Body Twins, Historical Trends (2018-2023) and Forecasted Estimates (till 2035) (USD Billion)
Figure 17.5 Digital Twins in Healthcare Market for Body Part Twins, Historical Trends (2018-2023) and Forecasted Estimates (till 2035) (USD Billion)
Figure 18.1 Digital Twins in Healthcare Market: Distribution by Area of Application, 2018, 2024 And 2035
Figure 18.2 Digital Twins in Healthcare Market for Asset / Process Management, Historical Trends (2018-2023) and Forecasted Estimates (till 2035) (USD Billion)
Figure 18.3 Digital Twins in Healthcare Market for Personalized Treatment, Historical Trends (2018-2023) and Forecasted Estimates (till 2035) (USD Billion)
Figure 18.4 Digital Twins in Healthcare Market for Surgical Planning, Historical Trends (2018-2023) and Forecasted Estimates (till 2035) (USD Billion)
Figure 18.5 Digital Twins in Healthcare Market for Diagnosis, Historical Trends (2018-2023) and Forecasted Estimates (till 2035) (USD Billion)
Figure 18.6 Digital Twins in Healthcare Market for Other Application Areas, Historical Trends (2018-2023) and Forecasted Estimates (till 2035) (USD Billion)
Figure 19.1 Digital Twins in Healthcare Market: Distribution by End Users, 2018, 2024 And 2035
Figure 19.2 Digital Twins in Healthcare Market for Pharmaceutical Companies, Historical Trends (2018-2023) and Forecasted Estimates (till 2035) (USD Billion)
Figure 19.3 Digital Twins in Healthcare Market for Medical Device Manufacturers, Historical Trends (2018-2023) and Forecasted Estimates (till 2035) (USD Billion)
Figure 19.4 Digital Twins in Healthcare Market for Healthcare Providers, Historical Trends (2018-2023) and Forecasted Estimates (till 2035) (USD Billion)
Figure 19.5 Digital Twins in Healthcare Market for Patients, Historical Trends (2018-2023) and Forecasted Estimates (till 2035) (USD Billion)
Figure 19.6 Digital Twins in Healthcare Market for Other End Users, Historical Trends (2018-2023) and Forecasted Estimates (till 2035) (USD Billion)
Figure 20.1 Digital Twins in Healthcare Market: Distribution by Key Geographies, 2018, 2024 And 2035
Figure 20.2 Digital Twins in Healthcare Market in North America, Historical Trends (2018-2023) and Forecasted Estimates (till 2035) (USD Billion)
Figure 20.3 Digital Twins in Healthcare Market in the US, Historical Trends (2018-2023) and Forecasted Estimates (till 2035) (USD Billion)
Figure 20.4 Digital Twins in Healthcare Market in Canada, Historical Trends (2018-2023) and Forecasted Estimates (till 2035) (USD Billion)
Figure 20.5 Digital Twins in Healthcare Market in Europe, Historical Trends (2018-2023) and Forecasted Estimates (till 2035) (USD Billion)
Figure 20.6 Digital Twins in Healthcare Market in France, Historical Trends (2018-2023) and Forecasted Estimates (till 2035) (USD Billion)
Figure 20.7 Digital Twins in Healthcare Market in Germany, Historical Trends (2018-2023) and Forecasted Estimates (till 2035) (USD Billion)
Figure 20.8 Digital Twins in Healthcare Market in Italy, Historical Trends (2018-2023) and Forecasted Estimates (till 2035) (USD Billion)
Figure 20.9 Digital Twins in Healthcare Market in Spain, Historical Trends (2018-2023) and Forecasted Estimates (till 2035) (USD Billion)
Figure 20.10 Digital Twins in Healthcare Market in the UK, Historical Trends (2018-2023) and Forecasted Estimates (till 2035) (USD Billion)
Figure 20.11 Digital Twins in Healthcare Market in Rest of the Europe, Historical Trends (2018-2023) and Forecasted Estimates (till 2035) (USD Billion)
Figure 20.12 Digital Twins in Healthcare Market in Asia, Historical Trends (2018-2023) and Forecasted Estimates (till 2035) (USD Billion)
Figure 20.13 Digital Twins in Healthcare Market in China, Historical Trends (2018-2023) and Forecasted Estimates (till 2035) (USD Billion)
Figure 20.14 Digital Twins in Healthcare Market in India, Historical Trends (2018-2023) and Forecasted Estimates (till 2035) (USD Billion)
Figure 20.15 Digital Twins in Healthcare Market in Japan, Historical Trends (2018-2023) and Forecasted Estimates (till 2035) (USD Billion)
Figure 20.16 Digital Twins in Healthcare Market in Singapore, Historical Trends (2018-2023) and Forecasted Estimates (till 2035) (USD Billion)
Figure 20.17 Digital Twins in Healthcare Market in South Korea, Historical Trends (2018-2023) and Forecasted Estimates (till 2035) (USD Billion)
Figure 20.18 Digital Twins in Healthcare Market in Rest of the Asia, Historical Trends (2018-2023) and Forecasted Estimates (till 2035) (USD Billion)
Figure 20.19 Digital Twins in Healthcare Market in Latin America, Historical Trends (2018-2023) and Forecasted Estimates (till 2035) (USD Billion)
Figure 20.20 Digital Twins in Healthcare Market in Brazil, Historical Trends (2018-2023) and Forecasted Estimates (till 2035) (USD Billion)
Figure 20.21 Digital Twins in Healthcare Market in Middle East and North Africa, Historical Trends (2018-2023) and Forecasted Estimates (till 2035) (USD Billion)
Figure 20.22 Digital Twins in Healthcare Market in UAE, Historical Trends (2018-2023) and Forecasted Estimates (till 2035) (USD Billion)
Figure 20.23 Digital Twins in Healthcare Market in Rest of the World, Historical Trends (2018-2023) and Forecasted Estimates (till 2035) (USD Billion)
Figure 20.24 Digital Twins in Healthcare Market in Australia, Historical Trends (2018-2023) and Forecasted Estimates (till 2035) (USD Billion)
Figure 20.25 Digital Twins in Healthcare Market in New Zealand, Historical Trends (2018-2023) and Forecasted Estimates (till 2035) (USD Billion)
Figure 21.1 Conclusion: Market Landscape
Figure 21.2 Conclusion: Partnerships and Collaborations
Figure 21.3 Conclusion: Funding and Investments
Figure 21.4 Conclusion: Berkus Start-up Valuation Analysis
Figure 21.5 Conclusion: Market Forecast (I / II)
Figure 21.6 Conclusion: Market Forecast (II / II)

List Of Tables

Table 6.1 Digital Twins in Healthcare: Information on Development Status
Table 6.2 Digital Twins in Healthcare: Information on Therapeutic Area
Table 6.3 Digital Twins in Healthcare: Information on Areas of Application
Table 6.4 Digital Twins in Healthcare: Information on Type of Technology Used
Table 6.5 Digital Twins in Healthcare: Information on End Users
Table 6.6 Digital Twins in Healthcare: Information on Type of Digital Twin
Table 6.7 Digital Twins Developers: Information on Year of Establishment, Company Size, Location of Headquarters, Region of Headquarters and Number of Products
Table 9.1 List of Companies Profiled
Table 9.2 BigBear.ai: Company Overview
Table 9.3 BigBear.ai: Recent Developments and Future Outlook
Table 9.4 Certara: Company Overview
Table 9.5 Certara: Recent Developments and Future Outlook
Table 9.6 Dassault Systèmes: Company Overview
Table 9.7 Dassault Systèmes: Recent Developments and Future Outlook
Table 9.8 NavvTrack: Company Overview
Table 9.9 NavvTrack: Recent Developments and Future Outlook
Table 9.10 Unlearn.ai: Company Overview
Table 9.11 Unlearn.ai: Recent Developments and Future Outlook
Table 10.1 List of Companies Profiled
Table 10.2 OnScale: Company Overview
Table 10.3 Phesi: Company Overview
Table 10.5 Twin Health: Company Overview
Table 10.6 Verto: Company Overview
Table 10.7 VictoryXR: Recent Developments and Future Outlook
Table 10.8 DEO: Company Overview
Table 10.9 PrediSurge: Company Overview
Table 10.10 Virtonomy: Company Overview
Table 10.11 Mesh Bio: Company Overview
Table 10.12 SingHealth: Company Overview
Table 11.1 Digital Twins in Healthcare: List of Partnerships and Collaborations, 2018-2023
Table 11.2 Partnerships and Collaborations: Information on Type of Agreement (Country-wise and Continent-wise), 2018-2023
Table 12.1 Funding and Investments: Information on Year of Investment, Type of Funding, Amount and Investor, 2018-2023
Table 12.2 Funding and Investment Analysis: Regional Distribution by Total Amount Invested, 2018-2023
Table 13.1 Berkus Start-Up Valuation: Total Valuation of Players
Table 22.1 Dassault Systèmes: Company Snapshot
Table 22.2 TwInsight: Company Snapshot
Table 22.3 Unlearn.AI: Company Snapshot
Table 22.4 Yokogawa Insilico Biotechnology: Company Snapshot
Table 23.1 Digital Twins: Distribution by Development Status
Table 23.2 Digital Twins: Distribution by Therapeutic Area
Table 23.3 Digital Twins: Distribution by Areas of Application
Table 23.4 Digital Twins: Distribution by Type of Technology Used
Table 23.5 Digital Twins: Distribution by End Users
Table 23.6 Digital Twins in Healthcare: Distribution by Type of Digital Twin
Table 23.7 Digital Twin Developers: Distribution by Year of Establishment
Table 23.8 Digital Twin Developers: Distribution by Company Size
Table 23.9 Digital Twin Developers: Distribution by Location of Headquarters
Table 23.10 BigBear.ai: Annual Revenues, 2021-Q3 2023 (USD Million)
Table 23.11 Certara: Annual Revenues, 2020-Q3 2023 (USD Million)
Table 23.12 Dassault Systèmes: Annual Revenues, 2019-Q3 2023 (EUR Billion)
Table 23.13 Partnerships and Collaborations: Cumulative Year-wise Trend, 2018-2023
Table 23.14 Partnerships and Collaborations: Distribution by Type of Partnership
Table 23.15 Partnerships and Collaborations: Distribution by Year and Type of Partnership
Table 23.16 Partnerships and Collaborations: Distribution by Type of Partnership and Company Size
Table 23.17 Most Active Players: Distribution by Number of Partnerships
Table 23.18 Partnerships and Collaborations: Local and International Agreements
Table 23.19 Partnerships and Collaborations: Intercontinental and Intracontinental Agreements
Table 23.20 Funding and Investment Analysis: Cumulative Year-wise Trend, 2018-2023
Table 23.21 Funding and Investment Analysis: Cumulative Amount Invested (USD Million), 2018-2023
Table 23.22 Funding and Investment Analysis: Distribution of Instances by Type of Funding, 2018-2023
Table 23.23 Funding and Investment Analysis: Year-Wise Distribution by Type of Funding, 2018-2023
Table 23.24 Funding and Investment Analysis: Distribution of Total Amount Invested (USD Million) by Type of Funding, 2018-2023
Table 23.25 Funding and Investment Analysis: Distribution by Geography
Table 23.26 Most Active Players: Distribution by Number of Funding Instances, 2018-2023
Table 23.27 Most Active Players: Distribution by Amount Raised (USD Million), 2018-2023
Table 23.28 Global Digital Twins in Healthcare Market, Historical Trends, 2018-2023 (USD Billion)
Table 23.29 Global Digital Twins in Healthcare Market, Forecasted Estimates, till 2035, Conservative, Base and Optimistic Scenario (USD Billion)
Table 23.30 Global Digital Twins in Healthcare Market: Distribution by Therapeutic Area, 2018, 2024 and 2035
Table 23.31 Digital Twins in Healthcare Market for Cardiovascular Disorders, Historical Trends, 2018-2023 (USD Billion)
Table 23.32 Digital Twins in Healthcare Market for Cardiovascular Disorders, Conservative, Base and Optimistic Scenarios, till 2035 (USD Billion)
Table 23.33 Digital Twins in Healthcare Market for Metabolic Disorders, Historical Trends, 2018-2023 (USD Billion)
Table 23.34 Digital Twins in Healthcare Market for Metabolic Disorders, Conservative, Base and Optimistic Scenarios, till 2035 (USD Billion)
Table 23.35 Digital Twins in Healthcare Market for Orthopedic Disorders, Historical Trends, 2018-2023 (USD Billion)
Table 23.36 Digital Twins in Healthcare Market for Orthopedic Disorders, Conservative, Base and Optimistic Scenarios, till 2035 (USD Billion)
Table 23.37 Digital Twins in Healthcare Market for Other Disorders, Historical Trends, 2018-2023 (USD Billion)
Table 23.38 Digital Twins in Healthcare Market for Other Disorders, Conservative, Base and Optimistic Scenarios, till 2035 (USD Billion)
Table 23.39 Global Digital Twins in Healthcare Market: Distribution by Type of Digital Twin, 2018, 2024 and 2035
Table 23.40 Digital Twins in Healthcare Market for Process Twins, Historical Trends, 2018-2023 (USD Billion)
Table 23.41 Digital Twins in Healthcare Market for Process Twins, Conservative, Base and Optimistic Scenarios, till 2035 (USD Billion)
Table 23.42 Digital Twins in Healthcare Market for System Twins, Historical Trends, 2018-2023 (USD Billion)
Table 23.43 Digital Twins in Healthcare Market for System Twins, Conservative, Base and Optimistic Scenarios, till 2035 (USD Billion)
Table 23.44 Digital Twins in Healthcare Market for Whole Body Twins, Historical Trends, 2018-2023 (USD Billion)
Table 23.45 Digital Twins in Healthcare Market for Whole Body Twins, Conservative, Base and Optimistic Scenarios, till 2035 (USD Billion)
Table 23.46 Digital Twins in Healthcare Market for Body Part Twins, Historical Trends, 2018-2023 (USD Billion)
Table 23.47 Digital Twins in Healthcare Market for Body Part Twins, Conservative, Base and Optimistic Scenarios, till 2035 (USD Billion)
Table 23.48 Global Digital Twins in Healthcare Market: Distribution by Area of Application, 2018, 2024 and 2035
Table 23.49 Digital Twins in Healthcare Market for Asset / Process Management, Historical Trends, 2018-2023 (USD Billion)
Table 23.50 Digital Twins in Healthcare Market for Asset / Process Management, Conservative, Base and Optimistic Scenarios, till 2035 (USD Billion)
Table 23.51 Digital Twins in Healthcare Market for Personalized Treatment, Historical Trends, 2018-2023 (USD Billion)
Table 23.52 Digital Twins in Healthcare Market for Personalized Treatment, Conservative, Base and Optimistic Scenarios, till 2035 (USD Billion)
Table 23.53 Digital Twins in Healthcare Market for Surgical Planning, Historical Trends, 2018-2023 (USD Billion)
Table 23.54 Digital Twins in Healthcare Market for Surgical Planning, Conservative, Base and Optimistic Scenarios, till 2035 (USD Billion)
Table 23.55 Digital Twins in Healthcare Market for Diagnosis, Historical Trends, 2018-2023 (USD Billion)
Table 23.56 Digital Twins in Healthcare Market for Diagnosis, Conservative, Base and Optimistic Scenarios, till 2035 (USD Billion)
Table 23.57 Digital Twins in Healthcare Market for Other Application Areas, Historical Trends, 2018-2023 (USD Billion)
Table 23.58 Digital Twins in Healthcare Market for Other Application Areas, Conservative, Base and Optimistic Scenarios, till 2035 (USD Billion)
Table 23.59 Global Digital Twins in Healthcare Market: Distribution by End Users, 2018, 2024 and 2035
Table 23.60 Digital Twins in Healthcare Market for Pharmaceutical Companies, Historical Trends, 2018-2023 (USD Billion)
Table 23.61 Digital Twins in Healthcare Market for Pharmaceutical Companies, Conservative, Base and Optimistic Scenarios, till 2035 (USD Billion)
Table 23.62 Digital Twins in Healthcare Market for Medical Device Manufacturers, Historical Trends, 2018-2023 (USD Billion)
Table 23.63 Digital Twins in Healthcare Market for Medical Device Manufacturers, Conservative, Base and Optimistic Scenarios, till 2035 (USD Billion)
Table 23.64 Digital Twins in Healthcare Market for Healthcare Providers, Historical Trends, 2018-2023 (USD Billion)
Table 23.65 Digital Twins in Healthcare Market for Healthcare Providers, Conservative, Base and Optimistic Scenarios, till 2035 (USD Billion)
Table 23.66 Digital Twins in Healthcare Market for Patients, Historical Trends, 2018-2023 (USD Billion)
Table 23.67 Digital Twins in Healthcare Market for Patients, Conservative, Base and Optimistic Scenarios, till 2035 (USD Billion)
Table 23.68 Digital Twins in Healthcare Market for Other End Users, Historical Trends, 2018-2023 (USD Billion)
Table 23.69 Digital Twins in Healthcare Market for Other End Users, Conservative, Base and Optimistic Scenarios, till 2035 (USD Billion)
Table 23.70 Global Digital Twins in Healthcare Market: Distribution by Key Geographies, 2018, 2024 and 2035
Table 23.71 Digital Twins in Healthcare Market in North America, Historical Trends, 2018-2023 (USD Billion)
Table 23.72 Digital Twins in Healthcare Market in North America, Conservative, Base and Optimistic Scenarios, till 2035 (USD Billion)
Table 23.73 Digital Twins in Healthcare Market in the US, Historical Trends, 2018-2023 (USD Billion)
Table 23.74 Digital Twins in Healthcare Market in the US, Conservative, Base and Optimistic Scenarios, till 2035 (USD Billion)
Table 23.75 Digital Twins in Healthcare Market in Canada, Historical Trends, 2018-2023 (USD Billion)
Table 23.76 Digital Twins in Healthcare Market in Canada, Conservative, Base and Optimistic Scenarios, till 2035 (USD Billion)
Table 23.77 Digital Twins in Healthcare Market in Europe, Historical Trends, 2018-2023 (USD Billion)
Table 23.78 Digital Twins in Healthcare Market in Europe, Conservative, Base and Optimistic Scenarios, till 2035 (USD Billion)
Table 23.79 Digital Twins in Healthcare Market in France, Historical Trends, 2018-2023 (USD Billion)
Table 23.80 Digital Twins in Healthcare Market in France, Conservative, Base and Optimistic Scenarios, till 2035 (USD Billion)
Table 23.81 Digital Twins in Healthcare Market in Germany, Historical Trends, 2018-2023 (USD Billion)
Table 23.82 Digital Twins in Healthcare Market in Germany, Conservative, Base and Optimistic Scenarios, till 2035 (USD Billion)
Table 23.83 Digital Twins in Healthcare Market in Italy, Historical Trends, 2018-2023 (USD Billion)
Table 23.84 Digital Twins in Healthcare Market in Italy, Conservative, Base and Optimistic Scenarios, till 2035 (USD Billion)
Table 23.85 Digital Twins in Healthcare Market in Spain, Historical Trends, 2018-2023 (USD Billion)
Table 23.86 Digital Twins in Healthcare Market in Spain, Conservative, Base and Optimistic Scenarios, till 2035 (USD Billion)
Table 23.87 Digital Twins in Healthcare Market in the UK, Historical Trends, 2018-2023 (USD Billion)
Table 23.88 Digital Twins in Healthcare Market in the UK, Conservative, Base and Optimistic Scenarios, till 2035 (USD Billion)
Table 23.89 Digital Twins in Healthcare Market in Rest of the Europe, Historical Trends, 2018-2023 (USD Billion)
Table 23.90 Digital Twins in Healthcare Market in Rest of the Europe, Conservative, Base and Optimistic Scenarios, till 2035 (USD Billion)
Table 23.91 Digital Twins in Healthcare Market in Asia, Historical Trends, 2018-2023 (USD Billion)
Table 23.92 Digital Twins in Healthcare Market in Asia, Conservative, Base and Optimistic Scenarios, till 2035 (USD Billion)
Table 23.93 Digital Twins in Healthcare Market in China, Historical Trends, 2018-2023 (USD Billion)
Table 23.94 Digital Twins in Healthcare Market in China, Conservative, Base and Optimistic Scenarios, till 2035 (USD Billion)
Table 23.95 Digital Twins in Healthcare Market in India, Historical Trends, 2018-2023 (USD Billion)
Table 23.96 Digital Twins in Healthcare Market in India, Conservative, Base and Optimistic Scenarios, till 2035 (USD Billion)
Table 23.97 Digital Twins in Healthcare Market in Japan, Historical Trends, 2018-2023 (USD Billion)
Table 23.98 Digital Twins in Healthcare Market in Japan, Conservative, Base and Optimistic Scenarios, till 2035 (USD Billion)
Table 23.99 Digital Twins in Healthcare Market in Singapore, Historical Trends, 2018-2023 (USD Billion)
Table 23.100 Digital Twins in Healthcare Market in Singapore, Conservative, Base and Optimistic Scenarios, till 2035 (USD Billion)
Table 23.101 Digital Twins in Healthcare Market in South Korea, Historical Trends, 2018-2023 (USD Billion)
Table 23.102 Digital Twins in Healthcare Market in South Korea, Conservative, Base and Optimistic Scenarios, till 2035 (USD Billion)
Table 23.103 Digital Twins in Healthcare Market in Rest of the Asia, Historical Trends, 2018-2023 (USD Billion)
Table 23.104 Digital Twins in Healthcare Market in Rest of the Asia, Conservative, Base and Optimistic Scenarios, till 2035 (USD Billion)
Table 23.105 Digital Twins in Healthcare Market in Latin America, Historical Trends, 2018-2023 (USD Billion)
Table 23.106 Digital Twins in Healthcare Market in Latin America, Conservative, Base and Optimistic Scenarios, till 2035 (USD Billion)
Table 23.107 Digital Twins in Healthcare Market in Brazil, Historical Trends, 2018-2023 (USD Billion)
Table 23.108 Digital Twins in Healthcare Market in Brazil, Conservative, Base and Optimistic Scenarios, till 2035 (USD Billion)
Table 23.109 Digital Twins in Healthcare Market in Middle East and North Africa, Historical Trends, 2018-2023 (USD Billion)
Table 23.110 Digital Twins in Healthcare Market in Middle East and North Africa, Conservative, Base and Optimistic Scenarios, till 2035 (USD Billion)
Table 23.111 Digital Twins in Healthcare Market in UAE, Historical Trends, 2018-2023 (USD Billion)
Table 23.112 Digital Twins in Healthcare Market in UAE, Conservative, Base and Optimistic Scenarios, till 2035 (USD Billion)
Table 23.113 Digital Twins in Healthcare Market in Rest of the World, Historical Trends, 2018-2023 (USD Billion)
Table 23.114 Digital Twins in Healthcare Market in Rest of the World, Conservative, Base and Optimistic Scenarios, till 2035 (USD Billion)
Table 23.115 Digital Twins in Healthcare Market in Australia, Historical Trends, 2018-2023 (USD Billion)
Table 23.116 Digital Twins in Healthcare Market in Australia, Conservative, Base and Optimistic Scenarios, till 2035 (USD Billion)
Table 23.117 Digital Twins in Healthcare Market in New Zealand, Historical Trends, 2018-2023 (USD Billion)
Table 23.118 Digital Twins in Healthcare Market in New Zealand, Conservative, Base and Optimistic Scenarios, till 2035 (USD Billion)

List of Companies and Organization

  1. 3D Systems
  2. 8VC
  3. ABB
  4. AIBODY
  5. Aitia
  6. AlbaCore Capital
  7. Alcimed
  8. Alkuri Global Acquisition
  9. Altis Labs
  10. Alumni Ventures
  11. Amazon Web Services
  12. AMF Pensionsförsäkring
  13. AnatoScope
  14. Andreessen Horowitz
  15. Ansys
  16. Antleron
  17. Applied BioMath
  18. Arboretum Ventures
  19. AstraZeneca
  20. Atos
  21. Avery Dennison
  22. Axon
  23. Babylon
  24. Bank of Canada
  25. Barcelona Supercomputing Center (BSC)
  26. Barclays
  27. Basetwo
  28. Bentley Systems
  29. BigBear.ai
  30. BINOCS
  31. Blackford
  32. BofA Securities
  33. Cadence
  34. CAN Health Network
  35. Capital One Securities
  36. CareAR
  37. Certara
  38. Cloudflare
  39. Comerica Bank
  40. CORYS
  41. CPI
  42. Credit Suisse
  43. Cytiva
  44. Dassault Systèmes
  45. DayToDay 
  46. DCVC
  47. Decision Lab
  48. Dell
  49. DEO
  50. DePuy Synthes
  51. Deutsches Herzzentrum der Charité
  52. EDITH
  53. Eisai
  54. Elaia
  55. EmbodyBio
  56. eMed
  57. EMedStore
  58. Emirates Health Services
  59. Empa
  60. ENGAGE XR
  61. EPFL
  62. Epic Capital Wealth Management
  63. EPIC Ventures
  64. European Innovation Council
  65. ExactCure
  66. Faststream Technologies
  67. FEops
  68. Formedix
  69. Fujitsu
  70. GE
  71. Genecis Bioindustries
  72. Gerresheimer
  73. Google Cloud
  74. GoSilico (acquired by Cytiva)
  75. Gramener
  76. GSK
  77. Hallym University Medical Center
  78. Harvard Division of Continuing Education
  79. Henry Ford Innovations
  80. Hewlett Packard Enterprise Development
  81. Higi
  82. HP
  83. i2b2 tranSMART Foundation
  84. IBM
  85. ICONIQ Growth
  86. ImmersiveTouch
  87. inEurHeart
  88. Infosys
  89. inHEART
  90. Inria
  91. Insight Partners
  92. Insilico Biotechnology (acquired by Yokogawa)
  93. IT-Translation
  94. Janssen
  95. Jefferies
  96. Johnson Controls
  97. Khosla Ventures
  98. Kinnevik
  99. Klinik Sankt Moritz
  100. Kosin University Gospel Hospital
  101. Krystelis
  102. KYDEA
  103. Lahey Hospital & Medical Center
  104. Lendlease
  105. Leucine
  106. LEXMA Technology
  107. LOP.AI
  108. MAI
  109. Mappedin
  110. Mayo Clinic
  111. MEDICAL IP
  112. Medical University of South Carolina
  113. Medtronic
  114. Merck
  115. Mesh Bio
  116. Meta
  117. Meyer Chroma Technology
  118. Microsoft Azure
  119. MINDBANK AI
  120. Morgan Stanley
  121. MSK Innovation Hub
  122. Mubadala Capital
  123. Mubadala Investment Company
  124. MultiOmic Health
  125. Munich Re/ERGO Corporate Venture Fund
  126. Navv Systems
  127. NavvTrack
  128. NEO PLM
  129. Novasign
  130. NUREA
  131. NVIDIA
  132. Oak Valley Health
  133. ONRAD
  134. OnScale
  135. Optimo Medical
  136. ORTEN
  137. Parker University
  138. Pfizer
  139. PharmaPendium
  140. Phesi
  141. Philips
  142. Pramita
  143. Predictiv
  144. PrediSurge
  145. Program-Ace
  146. ProModel (acquired by BigBear.ai)
  147. Public Investment Fund
  148. PwC
  149. Q Bio
  150. Quantum Genomics
  151. QurAlis
  152. Radical ventures
  153. Rockwell Automation
  154. Round 13 Capital
  155. Rousselot
  156. Royal Wolverhampton NHS Trust
  157. Sanofi
  158. Schneider Electric
  159. Sectoral Asset Management
  160. Sensyne Health
  161. Seoul National University Hospital
  162. Sequoia Capital India
  163. Siemens
  164. Siemens Healthineers
  165. Sim&Cure
  166. Sinai Health
  167. SingHealth
  168. Spinview
  169. Straive
  170. Strasys
  171. Swedbank Robur
  172. Takeda
  173. Tata Consultancy Services
  174. TELUS Health
  175. TeraRecon
  176. TetraScience
  177. Teva Pharmaceutical
  178. The Royal Wolverhampton NHS Trust
  179. Thomas Jefferson University Hospital
  180. ThoughtWire
  181. Tohoku University
  182. Triastek
  183. Twin Health
  184. TwInsight
  185. United Imaging Healthcare
  186. Unity Health Toronto
  187. University of Kansas School of Nursing
  188. University of Maryland Global Campus
  189. University of Strathclyde
  190. Unlearn.ai
  191. UPSA
  192. Vedanta
  193. Verto
  194. VictoryXR
  195. Virtonomy
  196. VivaBioCell
  197. VNV Global
  198. William Blair
  199. Yaletown Partners
  200. Yexle
  201. Yokogawa Insilico Biotechnology
  202. Youth Wellness Hubs Ontario
  203. ZETA

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