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Global Digital Twins in Healthcare Market Size, Share & Industry Trends Analysis Report By Application, By Component (Software, and Services), By End User, By Regional Outlook and Forecast, 2023 - 2030

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    Report

  • 301 Pages
  • July 2023
  • Region: Global
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 5869015
The Global Digital Twins in Healthcare Market size is expected to reach $29.3 billion by 2030, rising at a market growth of 51.8% CAGR during the forecast period.

The surgical planning & medical education is capturing the market as the development of digital twin algorithms for surgery has recently been the focus of extensive scientific projects around the globe. Hence, surgical planning & medical education registered $81.3 million revenue in the market in 2022. With excellent accuracy, surgical digital twins track and update virtual replicas of physical elements in real time. Scheduling may be improved, error probability can be reduced, and supply chain management can be strengthened using machine learning and data analytics. Due to widespread usage and the desire for high precision, the market is expected to expand.



The major strategies followed by the market participants are Partnerships as the key developmental strategy to keep pace with the changing demands of end users. For instance, In August, 2021, IBM came into collaboration with Black & Veatch to help customers keep assets and equipment running at peak performance and reliability. Additionally, In April, 2023, Oracle collaborated with Deloitte to include operations, implementation, and advisory services for Oracle through Deloitte Health - Oracle Accelerated. In November, 2022, SAP came into an agreement with Schneider Electric to improve digital transformation and industry innovation to simplify onboarding and lifecycle management of assets with digital twins, augmented and virtual reality.

The Cardinal Matrix - Market Competition Analysis


Based on the Analysis presented in the The Cardinal Matrix; Microsoft Corporation is the forerunner in the Market. In March, 2022, Microsoft teamed up with Cognizant to deliver a new digital health solution to improve remote patient monitoring for better medical care. Companies such as Siemens Healthineers AG (Siemens AG), Dassault Systemes SE and Oracle Corporation are some of the key innovators in the Market.



COVID-19 Impact

In order to improve processes and forecast how effectively the facilities will be able to handle the increased patient influx that was seen during the pandemic, healthcare facilities used digital twins after the outbreak. In order to meet the rising demand, pharmaceutical companies used technology to manufacture vaccinations. To increase the effectiveness of the processes, digital twins were employed to create real-time simulations of the physical processes involved in making vaccines.

Market Growth Factors

Rising investment in digital twin technology

The concept of generating a virtual clone of a real-world system, process, or object has gained popularity in recent years. This technology is known as "digital twin technology." As a result, both public & private companies have been expanding their investment in digital twin technology due to their growing awareness of the technology's ability to spur innovation and raise operational effectiveness. The public and privatesectors' investments will hasten the advancement and uptake of the technology behind digital twins. The expansion of the healthcare market will be boosted in the upcoming years by creating new opportunities.

Growth of remote monitoring services and telemedicine

The medication intake, blood sugar levels, and other significant health indicators of a diabetic patient can be tracked using the patient's digital twin. In order to help manage the disease, it may also be employed to advise what to eat, how much to exercise, and other lifestyle changes. The use of digital twin technologies in healthcare can also increase the effectiveness and efficiency of remote patient monitoring and telemedicine by giving a more accurate and comprehensive picture of the patient's health. This could aid medical professionals in efficiently managing and monitoring their patients. So, in the next years, it is anticipated that the growth of telemedicine and remote patient monitoring services will expand the market.

Market Restraining Factors

Dearth of technical expertise and issues with data management

Digital twin technology implementation and upkeep in the healthcare industry call for specialized training and expertise in data science, software engineering, and machine learning. It can be difficult to adjust to this emerging technology, particularly in the healthcare industry, with enormous warehouses of unstructured data. Healthcare companies may experience delays, increased expenses, and restricted access to the advantages of digital twins technology if there are insufficiently qualified individuals to implement,design, and manage this technology. These factors make it likely that the market will develop slowly over the forecast period.

Component Outlook

Based on component, the market is segmented into software, and services. The services segment acquired a substantial revenue share in the market in 2022. The significant market share of this segment is a result of the expanding demand for services that assist businesses in efficiently implementing and utilizing digital twin technology and maximizing its advantages. Data administration, analysis, and support, as well as maintenance and advising services, are all included in this segment of the market.



Application Outlook

On the basis of application, the market is fragmented into drug discovery & development, personalized medicine, surgical planning & medical education, medical device design & testing, healthcare workflow optimization & asset management, and others. The surgical planning & medical education segment garnered a significant revenue share in the market in 2022. The development of digital twin algorithms for surgery has recently been the focus of extensive scientific projects around the globe. With excellent accuracy, surgical digital twins track and update virtual replicas of physical elements in real time. Due to widespread usage and the desire for high precision, the market is expected to expand.

End-user Outlook

By end user, the market is classified into pharma & bio-pharma companies, research & academia, providers, medical device companies and others. In 2022, the providers segment dominated the market by generating the largest revenue share. The development of digital twins in healthcare is anticipated to be extremely significant. The term "smart hospitals" refers to the widespread use of this technology in hospitals & clinics. A smart hospital is Internet Protocol (IP) capable, has Internet of Things (IoT) sensors to communicate data, and combines data from many subsystems with real-time interactions between patients, staff members, and linked gadgets. Market participants who are active in the market work together to acquire a competitive advantage over others.

Regional Outlook

Region wise, the market is fragmented into North America, Europe, Asia Pacific and LAMEA. The North America region led the market with the maximum revenue share in 2022. Due to the increased use of digital twins in healthcare in this region, it is predicted that this region will dominate the market throughout the projected period. The market's success in the region is influenced by several factors, including the rise in the availability of better healthcare facilities, particularly in hospitals and ambulatory surgery centers, the ongoing development of medical technologies, and the profitable presence of key players in the US and Canada.

The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Siemens Healthineers AG (Siemens AG), Dassault Systemes SE, Microsoft Corporation, Koninklijke Philips N.V., IBM Corporation, NVIDIA Corporation, GE HealthCare Technologies, Inc., Oracle Corporation, Amazon Web Services, Inc. (Amazon.com, Inc.), and SAP SE.

Strategies Deployed in the Market

Partnerships, Collaborations and Agreements:

  • Jun-2023: NVIDIA collaborated with Hexagon, a digital reality vendor. This collaboration aims to build industrial digital twin products and help companies move toward the metaverse.
  • Apr-2023: Oracle collaborated with Deloitte, a provider of audit and assurance, financial advisory, tax, and risk advisory. This collaboration broadens Deloitte's operating system for healthcare to include operations, implementation, and advisory services for Oracle through Deloitte Health - Oracle Accelerated.
  • Jan-2023: Dassault Systèmes came into collaboration with IBM, an American multinational technology corporation. Under this collaboration, the integration of Dassault Systemes' 3DEXPERIENCE platform and virtual twin experiences, and IBM's asset management, IoT platform, and environmental intelligence portfolio would provide actionable insights and solutions for optimizing operations, boosting sustainability outcomes, and enhancing assets.
  • Nov-2022: SAP came into an agreement with Schneider Electric, a global specialist in energy management and automation. Following the agreement, both companies plan to explore opportunities to improve digital transformation and industry innovation to simplify onboarding and lifecycle management of assets with digital twins, augmented and virtual reality.
  • Nov-2022: Dassault Systèmes partnered with Sanofi, the French multinational pharmaceutical and healthcare company. Under this partnership, Dassault would aim to optimize 'Evolutive Facility' production at Sanofi's future modular manufacturing facilities across Singapore and France.
  • Jul-2022: Amazon Web Services came into partnership with Procore, a construction management software, on digital twin technology. Under this partnership, AWS' proprietary IoT TwinMaker, allows users to create their digital twins to connect directly to Procore's software and share data across the programs, organizing operations and maintenance.
  • Apr-2022: Oracle Cloud Infrastructure came into partnership with Maplesoft, a manufacturer of the Maple computer algebra system, and MapleSim physical modeling and simulation software. With Oracle's cloud technology and Maplesoft's simulation software, its customers would integrate operational data at scale with physics-based models to build highly diverse digital twins.
  • Mar-2022: Microsoft teamed up with Cognizant, a US-based information technology services and consulting company. Following this collaboration, companies aim to deliver a new digital health solution to improve remote patient monitoring for better medical care.
  • Aug-2021: IBM came into collaboration with Black & Veatch, a global engineering, procurement, consulting, and construction company leading in infrastructure development. Under this alliance, both companies would jointly commercialize Asset Performance Management (APM) solutions, consisting of remote monitoring technologies that integrate near real-time data analytics with artificial intelligence to help customers keep assets and equipment running at peak performance and reliability.
  • Jul-2021: Royal Philips collaborated with Cognizant, an American multinational information technology services and consulting company. The collaboration aims to develop complete digital health solutions which would allow healthcare companies and life sciences companies to enhance patient care and boost clinical trials.

Product Launches and Product Expansions:

  • Jun-2022: NVIDIA introduced NVIDIA Clara Holoscan MGX platform, a Medical AI Computing Platform. The solution for medical devices that integrates hardware systems and optimized libraries for AI and data processing broadens NVIDIA's current medical device ecosystem to offer medical-grade reference architecture and long-term support.

Mergers and Acquisitions:

  • Apr-2021: Siemens took over Varian Medical Systems, a U.S. company active in the region of cancer research & therapy. This acquisition would allow Siemens to strengthen the competitiveness & independence of Siemens Healthineers. The acquisition further focused on creating a world-leading company in cancer therapy.

Scope of the Study

By Application

  • Healthcare Workflow Optimization & Asset Management
  • Personalized Medicine
  • Drug Discovery & Development
  • Medical Device Design & Testing
  • Surgical Planning & Medical Education
  • Others

By Component

  • Software
  • Services

By End-user

  • Providers
  • Pharma & Biopharma Companies
  • Research & Academia
  • Medical Device Companies
  • Others

By Geography

  • North America
  • US
  • Canada
  • Mexico
  • Rest of North America
  • Europe
  • Germany
  • UK
  • France
  • Russia
  • Spain
  • Italy
  • Rest of Europe
  • Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Singapore
  • Malaysia
  • Rest of Asia Pacific
  • LAMEA
  • Brazil
  • Argentina
  • UAE
  • Saudi Arabia
  • South Africa
  • Nigeria
  • Rest of LAMEA

Key Market Players

List of Companies Profiled in the Report:

  • Siemens Healthineers AG (Siemens AG)
  • Dassault Systemes SE
  • Microsoft Corporation
  • Koninklijke Philips N.V.
  • IBM Corporation
  • NVIDIA Corporation
  • GE HealthCare Technologies, Inc.
  • Oracle Corporation
  • Amazon Web Services, Inc. (Amazon.com, Inc.)
  • SAP SE

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Table of Contents

Chapter 1. Market Scope & Methodology
1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 Global Digital Twins in Healthcare Market, by Application
1.4.2 Global Digital Twins in Healthcare Market, by Component
1.4.3 Global Digital Twins in Healthcare Market, by End User
1.4.4 Global Digital Twins in Healthcare Market, by Geography
1.5 Methodology for the research
Chapter 2. Market At a Glance
2.1 Key Highlights
Chapter 3. Market Overview
3.1 Introduction
3.1.1 Overview
3.1.1.1 Market Composition and Scenario
3.2 Key Factors Impacting the Market
3.2.1 Market Drivers
3.2.2 Market Restraints
Chapter 4. Competition Analysis - Global
4.1 KBV Cardinal Matrix
4.2 Recent Industry Wide Strategic Developments
4.2.1 Partnerships, Collaborations and Agreements
4.2.2 Product Launches and Product Expansions
4.2.3 Acquisition and Mergers
4.3 Top Winning Strategies
4.3.1 Key Leading Strategies: Percentage Distribution (2019-2023)
4.3.2 Key Strategic Move: (Partnerships, Collaborations & Agreements: 2020, May - 2023, Jun) Leading Players
4.4 Porter’s Five Force Analysis
Chapter 5. Global Digital Twins in Healthcare Market by Application
5.1 Global Healthcare Workflow Optimization & Asset Management Market by Region
5.2 Global Personalized Medicine Market by Region
5.3 Global Drug Discovery & Development Market by Region
5.4 Global Medical Device Design & Testing Market by Region
5.5 Global Surgical Planning & Medical Education Market by Region
5.6 Global Others Market by Region
Chapter 6. Global Digital Twins in Healthcare Market by Component
6.1 Global Software Market by Region
6.2 Global Services Market by Region
Chapter 7. Global Digital Twins in Healthcare Market by End User
7.1 Global Providers Market by Region
7.2 Global Pharma & Biopharma Companies Market by Region
7.3 Global Research & Academia Market by Region
7.4 Global Medical Device Companies Market by Region
7.5 Global Others Market by Region
Chapter 8. Global Digital Twins in Healthcare Market by Region
8.1 North America Digital Twins in Healthcare Market
8.1.1 North America Digital Twins in Healthcare Market by Application
8.1.1.1 North America Healthcare Workflow Optimization & Asset Management Market by Country
8.1.1.2 North America Personalized Medicine Market by Country
8.1.1.3 North America Drug Discovery & Development Market by Country
8.1.1.4 North America Medical Device Design & Testing Market by Country
8.1.1.5 North America Surgical Planning & Medical Education Market by Country
8.1.1.6 North America Others Market by Country
8.1.2 North America Digital Twins in Healthcare Market by Component
8.1.2.1 North America Software Market by Country
8.1.2.2 North America Services Market by Country
8.1.3 North America Digital Twins in Healthcare Market by End User
8.1.3.1 North America Providers Market by Country
8.1.3.2 North America Pharma & Biopharma Companies Market by Country
8.1.3.3 North America Research & Academia Market by Country
8.1.3.4 North America Medical Device Companies Market by Country
8.1.3.5 North America Others Market by Country
8.1.4 North America Digital Twins in Healthcare Market by Country
8.1.4.1 US Digital Twins in Healthcare Market
8.1.4.1.1 US Digital Twins in Healthcare Market by Application
8.1.4.1.2 US Digital Twins in Healthcare Market by Component
8.1.4.1.3 US Digital Twins in Healthcare Market by End User
8.1.4.2 Canada Digital Twins in Healthcare Market
8.1.4.2.1 Canada Digital Twins in Healthcare Market by Application
8.1.4.2.2 Canada Digital Twins in Healthcare Market by Component
8.1.4.2.3 Canada Digital Twins in Healthcare Market by End User
8.1.4.3 Mexico Digital Twins in Healthcare Market
8.1.4.3.1 Mexico Digital Twins in Healthcare Market by Application
8.1.4.3.2 Mexico Digital Twins in Healthcare Market by Component
8.1.4.3.3 Mexico Digital Twins in Healthcare Market by End User
8.1.4.4 Rest of North America Digital Twins in Healthcare Market
8.1.4.4.1 Rest of North America Digital Twins in Healthcare Market by Application
8.1.4.4.2 Rest of North America Digital Twins in Healthcare Market by Component
8.1.4.4.3 Rest of North America Digital Twins in Healthcare Market by End User
8.2 Europe Digital Twins in Healthcare Market
8.2.1 Europe Digital Twins in Healthcare Market by Application
8.2.1.1 Europe Healthcare Workflow Optimization & Asset Management Market by Country
8.2.1.2 Europe Personalized Medicine Market by Country
8.2.1.3 Europe Drug Discovery & Development Market by Country
8.2.1.4 Europe Medical Device Design & Testing Market by Country
8.2.1.5 Europe Surgical Planning & Medical Education Market by Country
8.2.1.6 Europe Others Market by Country
8.2.2 Europe Digital Twins in Healthcare Market by Component
8.2.2.1 Europe Software Market by Country
8.2.2.2 Europe Services Market by Country
8.2.3 Europe Digital Twins in Healthcare Market by End User
8.2.3.1 Europe Providers Market by Country
8.2.3.2 Europe Pharma & Biopharma Companies Market by Country
8.2.3.3 Europe Research & Academia Market by Country
8.2.3.4 Europe Medical Device Companies Market by Country
8.2.3.5 Europe Others Market by Country
8.2.4 Europe Digital Twins in Healthcare Market by Country
8.2.4.1 Germany Digital Twins in Healthcare Market
8.2.4.1.1 Germany Digital Twins in Healthcare Market by Application
8.2.4.1.2 Germany Digital Twins in Healthcare Market by Component
8.2.4.1.3 Germany Digital Twins in Healthcare Market by End User
8.2.4.2 UK Digital Twins in Healthcare Market
8.2.4.2.1 UK Digital Twins in Healthcare Market by Application
8.2.4.2.2 UK Digital Twins in Healthcare Market by Component
8.2.4.2.3 UK Digital Twins in Healthcare Market by End User
8.2.4.3 France Digital Twins in Healthcare Market
8.2.4.3.1 France Digital Twins in Healthcare Market by Application
8.2.4.3.2 France Digital Twins in Healthcare Market by Component
8.2.4.3.3 France Digital Twins in Healthcare Market by End User
8.2.4.4 Russia Digital Twins in Healthcare Market
8.2.4.4.1 Russia Digital Twins in Healthcare Market by Application
8.2.4.4.2 Russia Digital Twins in Healthcare Market by Component
8.2.4.4.3 Russia Digital Twins in Healthcare Market by End User
8.2.4.5 Spain Digital Twins in Healthcare Market
8.2.4.5.1 Spain Digital Twins in Healthcare Market by Application
8.2.4.5.2 Spain Digital Twins in Healthcare Market by Component
8.2.4.5.3 Spain Digital Twins in Healthcare Market by End User
8.2.4.6 Italy Digital Twins in Healthcare Market
8.2.4.6.1 Italy Digital Twins in Healthcare Market by Application
8.2.4.6.2 Italy Digital Twins in Healthcare Market by Component
8.2.4.6.3 Italy Digital Twins in Healthcare Market by End User
8.2.4.7 Rest of Europe Digital Twins in Healthcare Market
8.2.4.7.1 Rest of Europe Digital Twins in Healthcare Market by Application
8.2.4.7.2 Rest of Europe Digital Twins in Healthcare Market by Component
8.2.4.7.3 Rest of Europe Digital Twins in Healthcare Market by End User
8.3 Asia Pacific Digital Twins in Healthcare Market
8.3.1 Asia Pacific Digital Twins in Healthcare Market by Application
8.3.1.1 Asia Pacific Healthcare Workflow Optimization & Asset Management Market by Country
8.3.1.2 Asia Pacific Personalized Medicine Market by Country
8.3.1.3 Asia Pacific Drug Discovery & Development Market by Country
8.3.1.4 Asia Pacific Medical Device Design & Testing Market by Country
8.3.1.5 Asia Pacific Surgical Planning & Medical Education Market by Country
8.3.1.6 Asia Pacific Others Market by Country
8.3.2 Asia Pacific Digital Twins in Healthcare Market by Component
8.3.2.1 Asia Pacific Software Market by Country
8.3.2.2 Asia Pacific Services Market by Country
8.3.3 Asia Pacific Digital Twins in Healthcare Market by End User
8.3.3.1 Asia Pacific Providers Market by Country
8.3.3.2 Asia Pacific Pharma & Biopharma Companies Market by Country
8.3.3.3 Asia Pacific Research & Academia Market by Country
8.3.3.4 Asia Pacific Medical Device Companies Market by Country
8.3.3.5 Asia Pacific Others Market by Country
8.3.4 Asia Pacific Digital Twins in Healthcare Market by Country
8.3.4.1 China Digital Twins in Healthcare Market
8.3.4.1.1 China Digital Twins in Healthcare Market by Application
8.3.4.1.2 China Digital Twins in Healthcare Market by Component
8.3.4.1.3 China Digital Twins in Healthcare Market by End User
8.3.4.2 Japan Digital Twins in Healthcare Market
8.3.4.2.1 Japan Digital Twins in Healthcare Market by Application
8.3.4.2.2 Japan Digital Twins in Healthcare Market by Component
8.3.4.2.3 Japan Digital Twins in Healthcare Market by End User
8.3.4.3 India Digital Twins in Healthcare Market
8.3.4.3.1 India Digital Twins in Healthcare Market by Application
8.3.4.3.2 India Digital Twins in Healthcare Market by Component
8.3.4.3.3 India Digital Twins in Healthcare Market by End User
8.3.4.4 South Korea Digital Twins in Healthcare Market
8.3.4.4.1 South Korea Digital Twins in Healthcare Market by Application
8.3.4.4.2 South Korea Digital Twins in Healthcare Market by Component
8.3.4.4.3 South Korea Digital Twins in Healthcare Market by End User
8.3.4.5 Singapore Digital Twins in Healthcare Market
8.3.4.5.1 Singapore Digital Twins in Healthcare Market by Application
8.3.4.5.2 Singapore Digital Twins in Healthcare Market by Component
8.3.4.5.3 Singapore Digital Twins in Healthcare Market by End User
8.3.4.6 Malaysia Digital Twins in Healthcare Market
8.3.4.6.1 Malaysia Digital Twins in Healthcare Market by Application
8.3.4.6.2 Malaysia Digital Twins in Healthcare Market by Component
8.3.4.6.3 Malaysia Digital Twins in Healthcare Market by End User
8.3.4.7 Rest of Asia Pacific Digital Twins in Healthcare Market
8.3.4.7.1 Rest of Asia Pacific Digital Twins in Healthcare Market by Application
8.3.4.7.2 Rest of Asia Pacific Digital Twins in Healthcare Market by Component
8.3.4.7.3 Rest of Asia Pacific Digital Twins in Healthcare Market by End User
8.4 LAMEA Digital Twins in Healthcare Market
8.4.1 LAMEA Digital Twins in Healthcare Market by Application
8.4.1.1 LAMEA Healthcare Workflow Optimization & Asset Management Market by Country
8.4.1.2 LAMEA Personalized Medicine Market by Country
8.4.1.3 LAMEA Drug Discovery & Development Market by Country
8.4.1.4 LAMEA Medical Device Design & Testing Market by Country
8.4.1.5 LAMEA Surgical Planning & Medical Education Market by Country
8.4.1.6 LAMEA Others Market by Country
8.4.2 LAMEA Digital Twins in Healthcare Market by Component
8.4.2.1 LAMEA Software Market by Country
8.4.2.2 LAMEA Services Market by Country
8.4.3 LAMEA Digital Twins in Healthcare Market by End User
8.4.3.1 LAMEA Providers Market by Country
8.4.3.2 LAMEA Pharma & Biopharma Companies Market by Country
8.4.3.3 LAMEA Research & Academia Market by Country
8.4.3.4 LAMEA Medical Device Companies Market by Country
8.4.3.5 LAMEA Others Market by Country
8.4.4 LAMEA Digital Twins in Healthcare Market by Country
8.4.4.1 Brazil Digital Twins in Healthcare Market
8.4.4.1.1 Brazil Digital Twins in Healthcare Market by Application
8.4.4.1.2 Brazil Digital Twins in Healthcare Market by Component
8.4.4.1.3 Brazil Digital Twins in Healthcare Market by End User
8.4.4.2 Argentina Digital Twins in Healthcare Market
8.4.4.2.1 Argentina Digital Twins in Healthcare Market by Application
8.4.4.2.2 Argentina Digital Twins in Healthcare Market by Component
8.4.4.2.3 Argentina Digital Twins in Healthcare Market by End User
8.4.4.3 UAE Digital Twins in Healthcare Market
8.4.4.3.1 UAE Digital Twins in Healthcare Market by Application
8.4.4.3.2 UAE Digital Twins in Healthcare Market by Component
8.4.4.3.3 UAE Digital Twins in Healthcare Market by End User
8.4.4.4 Saudi Arabia Digital Twins in Healthcare Market
8.4.4.4.1 Saudi Arabia Digital Twins in Healthcare Market by Application
8.4.4.4.2 Saudi Arabia Digital Twins in Healthcare Market by Component
8.4.4.4.3 Saudi Arabia Digital Twins in Healthcare Market by End User
8.4.4.5 South Africa Digital Twins in Healthcare Market
8.4.4.5.1 South Africa Digital Twins in Healthcare Market by Application
8.4.4.5.2 South Africa Digital Twins in Healthcare Market by Component
8.4.4.5.3 South Africa Digital Twins in Healthcare Market by End User
8.4.4.6 Nigeria Digital Twins in Healthcare Market
8.4.4.6.1 Nigeria Digital Twins in Healthcare Market by Application
8.4.4.6.2 Nigeria Digital Twins in Healthcare Market by Component
8.4.4.6.3 Nigeria Digital Twins in Healthcare Market by End User
8.4.4.7 Rest of LAMEA Digital Twins in Healthcare Market
8.4.4.7.1 Rest of LAMEA Digital Twins in Healthcare Market by Application
8.4.4.7.2 Rest of LAMEA Digital Twins in Healthcare Market by Component
8.4.4.7.3 Rest of LAMEA Digital Twins in Healthcare Market by End User
Chapter 9. Company Profiles
9.1 Microsoft Corporation
9.1.1 Company Overview
9.1.2 Financial Analysis
9.1.3 Segmental and Regional Analysis
9.1.4 Research & Development Expenses
9.1.5 Recent strategies and developments:
9.1.5.1 Partnerships, Collaborations, and Agreements:
9.1.5.2 Product Launches and Product Expansions:
9.1.6 SWOT Analysis
9.2 Siemens Healthineers AG (Siemens AG)
9.2.1 Company Overview
9.2.2 Financial Analysis
9.2.3 Segmental and Regional Analysis
9.2.4 Research & Development Expense
9.2.5 Recent strategies and developments:
9.2.5.1 Partnerships, Collaborations, and Agreements:
9.2.5.2 Acquisition and Mergers:
9.2.6 SWOT Analysis
9.3 NVIDIA Corporation
9.3.1 Company Overview
9.3.2 Financial Analysis
9.3.3 Segmental and Regional Analysis
9.3.4 Research & Development Expenses
9.3.5 Recent strategies and developments:
9.3.5.1 Partnerships, Collaborations, and Agreements:
9.3.5.2 Product Launches and Product Expansions:
9.3.6 SWOT Analysis
9.4 IBM Corporation
9.4.1 Company Overview
9.4.2 Financial Analysis
9.4.3 Regional & Segmental Analysis
9.4.4 Research & Development Expenses
9.4.5 Recent strategies and developments:
9.4.5.1 Partnerships, Collaborations, and Agreements:
9.4.6 SWOT Analysis
9.5 Oracle Corporation
9.5.1 Company Overview
9.5.2 Financial Analysis
9.5.3 Segmental and Regional Analysis
9.5.4 Research & Development Expense
9.5.5 Recent strategies and developments:
9.5.5.1 Partnerships, Collaborations, and Agreements:
9.5.6 SWOT Analysis
9.6 Amazon Web Services, Inc. (Amazon.com, Inc.)
9.6.1 Company Overview
9.6.2 Financial Analysis
9.6.3 Segmental Analysis
9.6.4 Recent strategies and developments:
9.6.4.1 Partnerships, Collaborations, and Agreements:
9.6.5 SWOT Analysis
9.7 SAP SE
9.7.1 Company Overview
9.7.2 Financial Analysis
9.7.3 Segmental and Regional Analysis
9.7.4 Research & Development Expense
9.7.5 Recent strategies and developments:
9.7.5.1 Partnerships, Collaborations, and Agreements:
9.7.6 SWOT Analysis
9.8 Dassault Systemes SE
9.8.1 Company Overview
9.8.2 Financial Analysis
9.8.3 Product Category and Regional Analysis
9.8.4 Research & Development Expense
9.8.5 Recent strategies and developments:
9.8.5.1 Partnerships, Collaborations, and Agreements:
9.8.6 SWOT Analysis
9.9 Koninklijke Philips N.V.
9.9.1 Company Overview
9.9.2 Financial Analysis
9.9.3 Segmental and Regional Analysis
9.9.4 Research & Development Expense
9.9.5 Recent strategies and developments:
9.9.5.1 Partnerships, Collaborations, and Agreements:
9.9.6 SWOT Analysis
9.10. GE HealthCare Technologies, Inc.
9.10.1 Company Overview
9.10.2 Financial Analysis
9.10.3 Segmental and Regional Analysis
9.10.4 Research & Development Expenses
9.10.5 Recent strategies and developments:
9.10.5.1 Product Launches and Product Expansions:
9.10.6 SWOT Analysis
Chapter 10. Winning Imperatives for Digital Twins in Healthcare Market

Companies Mentioned

  • Siemens Healthineers AG (Siemens AG)
  • Dassault Systemes SE
  • Microsoft Corporation
  • Koninklijke Philips N.V.
  • IBM Corporation
  • NVIDIA Corporation
  • GE HealthCare Technologies, Inc.
  • Oracle Corporation
  • Amazon Web Services, Inc. (Amazon.com, Inc.)
  • SAP SE

Methodology

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