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Digital Twin in Healthcare Market: Current Analysis and Forecast (2024-2032)
»óǰÄÚµå : 1496127
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ÆäÀÌÁö Á¤º¸ : ¿µ¹® 135 Pages
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In recent years, the concept of digital twins has emerged as a transformative force across various industries, including healthcare. Rooted in simulation, data analytics, and IoT (Internet of Things), digital twins offer a virtual replica or representation of physical entities, be it a machine, a process, or, in the case of healthcare, a patient. This paradigm shift in healthcare leverages advanced technologies to create a comprehensive digital counterpart of an individual's health profile, encompassing physiological parameters, medical history, genetic makeup, and lifestyle factors. By integrating real-time data streams from wearable devices, medical sensors, electronic health records (EHRs), and other sources, digital twins enable healthcare providers to monitor, analyze, and predict health outcomes with unprecedented accuracy and granularity. As healthcare systems strive to embrace innovation and harness the power of digital transformation, digital twins stand poised to redefine the landscape of healthcare delivery, ushering in an era of precision medicine and proactive wellness management.

The Digital Twin in Healthcare Market is expected to grow at a strong CAGR of 28.9% during the forecast period owing to increasing investment by companies. The growing investment in digital twins within the healthcare market is driven by the potential for transformative impact on patient care, operational efficiency, and cost reduction. Recent investments in digital twin technology in healthcare include:

Siemens Healthineers: In 2022, Siemens Healthineers announced significant investments in digital twin technology for healthcare applications, aiming to enhance medical imaging, diagnostics, and patient care through virtual modeling and simulation.

GE Healthcare: GE Healthcare has been investing in digital twin solutions for healthcare, focusing on predictive maintenance for medical equipment and optimizing hospital workflows. Recent investments were reported in 2023 to expand their digital twin offerings in the healthcare sector.

Based on types, the market is bifurcated into process & system digital twin, and product digital twin. The process & system digital twin segment held the dominant share of the market in 2023. The process and system digital twins in healthcare are primarily driven by several key factors that aim to enhance operational efficiency, reduce costs, and improve patient outcomes. One major driving factor is the need for efficient asset and process management within healthcare facilities. Digital twins enable healthcare providers to create accurate simulations of their operations, allowing for better resource allocation, maintenance scheduling, and overall management of medical assets.

By application, the market is segmented into asset and process management, personalized medicine, drug discovery, and others. The drug discovery segment is anticipated to grow with a high CAGR during the forthcoming period. The drug discovery segment in the digital twin market in healthcare is propelled by several compelling factors that aim to revolutionize how pharmaceuticals are developed and brought to market. A primary driver is the potential for significant reductions in time and cost associated with the R&D of new drugs. Digital twins allow for the virtual testing of drug interactions within simulated human physiology, reducing the need for extensive physical trials.

Based on end users, the market is segmented into hospitals and clinics, clinical research organizations, and others. The hospitals and clinics held the dominant share of the market in 2023. This segment uses digital twins for various purposes including facility management, patient flow optimization, and medical equipment management. By simulating hospital operations and patient interactions, hospitals can optimize resource allocation and improve patient outcomes.

For a better understanding of the market adoption of the digital twin in the healthcare industry, the market is analyzed based on its worldwide presence in countries such as North America (U.S., Canada, Rest of North America), Europe (Germany, U.K., France, Spain, Italy, Rest of Europe), Asia-Pacific (China, Japan, India, Rest of Asia-Pacific), Rest of World. Asia Pacific is anticipated to grow with a high CAGR during the forthcoming period. Several driving factors are propelling the growth of the Asia Pacific digital twin in the healthcare market. Firstly, rapid technological advancements, such as AI, IoT, and cloud computing, are fostering the development of sophisticated digital twin solutions tailored to the healthcare sector. These innovations enable real-time monitoring, predictive analytics, and personalized healthcare delivery, driving the adoption of digital twins among healthcare providers in the region. Moreover, increasing healthcare expenditure and a growing emphasis on value-based care and patient-centric approaches incentivize investments in digital health solutions, including digital twins, to improve clinical outcomes and operational efficiency. Additionally, government initiatives promoting healthcare digitization, such as the National Digital Health Mission in India launched in 2020, are driving awareness and adoption of digital health technologies, including digital twins, among healthcare stakeholders in the Asia Pacific region.

Some of the major players operating in the market include Atos SE; Koninklijke Philips N.V.; Altair Engineering Inc.; Verto Health; Twin Health; Dassault Systemes; PrediSurge; Virtonomy GmbH; Siemens Healthineers AG'; and Microsoft.

TABLE OF CONTENTS

1.MARKET INTRODUCTION

2.RESEARCH METHODOLOGY OR ASSUMPTION

3.EXECUTIVE SUMMARY

4.MARKET DYNAMICS

5.PRICING ANALYSIS

6.GLOBAL DIGITAL TWIN IN HEALTHCARE MARKET REVENUE (USD BN), 2022-2032F

7.MARKET INSIGHTS BY TYPE

8.MARKET INSIGHTS BY APPLICATION

9.MARKET INSIGHTS BY END USER

10.MARKET INSIGHTS BY REGION

11.VALUE CHAIN ANALYSIS

12.COMPETITIVE LANDSCAPE

13.COMPANY PROFILED

14.ACRONYMS & ASSUMPTION

15.ANNEXURE

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