The Asia Pacific Digital Twins in Healthcare Market should witness market growth of 53.0% CAGR during the forecast period (2023-2030).
A surgical digital twin aims to create a patient model so that surgery can be planned in a multidisciplinary team meeting, practiced beforehand in a simulator, and called upon during the operation to evaluate anatomy and minimize accidental structural damage. These techniques can aid in preventing mistakes that might happen before an operation and enable medical professionals to better plan. For effective digital twins and the development of precise data models, technologies like machine learning,AI, 3D modeling, and predictive analytics are essential. Additionally, digital twins have played a significant role in the development.
They will continue to do so in the medical industry, focusing on software-as-a-medical services, integration, assessment of IoT-enabled devices, and enhanced surveillance of healthcare facilities. As a result, digital twins will become more popular, and healthcare organizations will find them more practical. By improving medical care with digital tracking and developing human body modeling, digital twins in healthcare are transforming clinical operations and hospital management. When examining illnesses, novel medications, and medical gadgets, researchers greatly benefit from these methods.
In recent years, the medical tourism sector in Southeast Asia has developed into a major force in the development of international medical travel. Thailand, Singapore, and Malaysia have established themselves as major players among the popular ASEAN (Association of Southeast Asian Nations) places for medical travel, encouraging inbound travel to the area due to its affordable costs, first-rate healthcare, state-of-the-art technology, and well-known medical expertise. The growing medical tourism, and grown investment in healthcare sector further opens up opportunities to adopt latest and advanced technologies within the healthcare industry. As a result, the market may witness significant growth in the APAC region.
The China market dominated the Asia Pacific Digital Twins in Healthcare Market by Country in 2022, and would continue to be a dominant market till 2030; thereby, achieving a market value of $2,148.2 million by 2030. The Japan market is estimated to grow at a CAGR of 52% during (2023-2030). Additionally, The India market would register a CAGR of 53.9% during (2023-2030).
Based on Application, the market is segmented into Healthcare Workflow Optimization & Asset Management, Personalized Medicine, Drug Discovery & Development, Medical Device Design & Testing, Surgical Planning & Medical Education, and Others. Based on Component, the market is segmented into Software, and Services. Based on End-user, the market is segmented into Providers, Pharma & Biopharma Companies, Research & Academia, Medical Device Companies, and Others. Based on countries, the market is segmented into China, Japan, India, South Korea, Singapore, Malaysia, and Rest of Asia Pacific.
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.
A surgical digital twin aims to create a patient model so that surgery can be planned in a multidisciplinary team meeting, practiced beforehand in a simulator, and called upon during the operation to evaluate anatomy and minimize accidental structural damage. These techniques can aid in preventing mistakes that might happen before an operation and enable medical professionals to better plan. For effective digital twins and the development of precise data models, technologies like machine learning,AI, 3D modeling, and predictive analytics are essential. Additionally, digital twins have played a significant role in the development.
They will continue to do so in the medical industry, focusing on software-as-a-medical services, integration, assessment of IoT-enabled devices, and enhanced surveillance of healthcare facilities. As a result, digital twins will become more popular, and healthcare organizations will find them more practical. By improving medical care with digital tracking and developing human body modeling, digital twins in healthcare are transforming clinical operations and hospital management. When examining illnesses, novel medications, and medical gadgets, researchers greatly benefit from these methods.
In recent years, the medical tourism sector in Southeast Asia has developed into a major force in the development of international medical travel. Thailand, Singapore, and Malaysia have established themselves as major players among the popular ASEAN (Association of Southeast Asian Nations) places for medical travel, encouraging inbound travel to the area due to its affordable costs, first-rate healthcare, state-of-the-art technology, and well-known medical expertise. The growing medical tourism, and grown investment in healthcare sector further opens up opportunities to adopt latest and advanced technologies within the healthcare industry. As a result, the market may witness significant growth in the APAC region.
The China market dominated the Asia Pacific Digital Twins in Healthcare Market by Country in 2022, and would continue to be a dominant market till 2030; thereby, achieving a market value of $2,148.2 million by 2030. The Japan market is estimated to grow at a CAGR of 52% during (2023-2030). Additionally, The India market would register a CAGR of 53.9% during (2023-2030).
Based on Application, the market is segmented into Healthcare Workflow Optimization & Asset Management, Personalized Medicine, Drug Discovery & Development, Medical Device Design & Testing, Surgical Planning & Medical Education, and Others. Based on Component, the market is segmented into Software, and Services. Based on End-user, the market is segmented into Providers, Pharma & Biopharma Companies, Research & Academia, Medical Device Companies, and Others. Based on countries, the market is segmented into China, Japan, India, South Korea, Singapore, Malaysia, and Rest of Asia Pacific.
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.
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 Country
- China
- Japan
- India
- South Korea
- Singapore
- Malaysia
- Rest of Asia Pacific
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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- Exhaustive coverage
- The highest number of Market tables and figures
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Table of Contents
Chapter 1. Market Scope & Methodology
Chapter 2. Market At a Glance
Chapter 3. Market Overview
Chapter 4. Competition Analysis - Global
Chapter 5. Asia Pacific Digital Twins in Healthcare Market by Application
Chapter 6. Asia Pacific Digital Twins in Healthcare Market by Component
Chapter 7. Asia Pacific Digital Twins in Healthcare Market by End User
Chapter 8. Asia Pacific Digital Twins in Healthcare Market by Country
Chapter 9. Company Profiles
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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