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市場調查報告書
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1496127

醫療數位孿生市場:現況分析與預測(2024-2032)

Digital Twin in Healthcare Market: Current Analysis and Forecast (2024-2032)

出版日期: | 出版商: UnivDatos Market Insights Pvt Ltd | 英文 135 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

由於企業投資增加,預計醫療數位孿生市場在預測期內將以 28.9% 的複合年增長率強勁增長。由於醫療數位孿生市場具有改變病患照護、營運效率和節省成本的潛力,對醫療保健數位孿生市場的投資正在增加。最近對醫療保健數位孿生技術的投資包括:

Siemens Healthineers:2022 年,Siemens Healthineers 宣佈對醫療保健數位孿生技術進行重大投資,旨在透過虛擬建模和模擬增強醫學成像、診斷和患者護理。

GE醫療保健:GE醫療保健正在投資醫療保健數位孿生解決方案,重點關注醫療設備的預測性維護和醫院工作流程的最佳化。據報道,到 2023 年,最近的投資將擴大醫療保健行業的數位孿生產品。

依類型劃分,市場分為流程/系統數位孿生和產品數位孿生。到 2023 年,流程系統的數位孿生領域將佔據主導市場佔有率。醫療保健流程系統的數位孿生主要由旨在提高營運效率、降低成本和改善患者治療效果的幾個關鍵因素所驅動。關鍵驅動因素之一是醫療機構內部需要有效率的資產和流程管理。數位孿生允許醫療保健提供者對其營運進行準確的模擬,從而實現更好的資源分配、維護計劃和醫療保健資產的整體管理。

根據應用,市場分為資產和流程管理、個人化醫療、藥物發現等。藥物發現領域預計將在一段時間內以高複合年增長率成長。醫療數位孿生市場的藥物發現領域受到幾個引人注目的因素的推動,這些因素旨在改變藥物的開發和推向市場的方式。一個關鍵的驅動因素是有可能大幅減少與新藥研發相關的時間和成本。數位孿生可以在模擬人體生理學中對藥物交互作用進行虛擬測試,從而減少大量物理測試的需要。

依最終使用者劃分,市場分為醫院/診所、臨床研究機構等。到2023年,醫院和診所將佔據壓倒性的市場佔有率。此細分市場將數位孿生用於多種目的,包括設施管理、病患流程優化和醫療設備管理。透過模擬醫院運作和病患互動,醫院可以優化資源分配並改善病患治療效果。

為了更瞭解數位孿生在醫療保健產業的市場實施情況,市場為北美(美國、加拿大等北美地區)、歐洲(德國、英國、法國、西班牙、義大利等)歐洲地區)和亞洲,根據太平洋地區(中國、日本、印度和其他亞太地區)和其他地區的全球分佈進行分析。亞太地區預計將在一段時間內以較高的複合年增長率成長。推動亞太醫療保健數位孿生市場成長的驅動力有很多。首先,人工智慧、物聯網和雲端運算等技術的快速進步正在推動針對醫療保健產業的複雜數位孿生解決方案的開發。這些創新實現了即時監控、預測分析和個人化醫療保健服務,推動了該地區醫療保健提供者採用數位雙胞胎。此外,不斷上漲的醫療保健成本以及對基於價值的護理和以患者為中心的方法的日益重視將推動對數位醫療解決方案(包括數位孿生)的投資,以改善臨床結果和營運效率。

市場的主要營運公司包括 Atos SE、Koninklijke Philips N.V.、Altair Engineering Inc.、Verto Health、Twin Health、Dassault Systemes、PrediSurge、Virtonomy GmbH、Siemens Healthineers AG 和 Microsoft。

目錄

第一章市場介紹

  • 市場定義
  • 主要目標
  • 利害關係人
  • 限制

第二章研究方法或前提

  • 調查過程
  • 調查方法
  • 受訪者簡介

第 3 章執行摘要

第 4 章市場動態

  • 促進因素
  • 機會
  • 抑制因素
  • 趨勢
  • PESTEL 分析
  • 需求方分析
  • 供給面分析
    • 併購
    • 投資場景
    • 產業洞察:主要新創公司及其獨特策略

第五章價格分析

  • 區域價格分析
  • 影響價格的因素

第 6 章 2022-2032 年全球醫療數位孿生市場收入

第 7 章市場分析:依類型

  • 流程/系統的數位孿生
  • 產品的數位孿生

第 8 章市場分析:依應用

  • 資產/流程管理
  • 個人化醫療
  • 藥物發現
  • 其他

第 9 章市場分析:依最終使用者劃分

  • 醫院/診所
  • 臨床研究所
  • 其他

第 10 章市場分析:依地區

  • 北美
    • 美國
    • 加拿大
    • 其他北美地區
  • 歐洲
    • 德國
    • 英國
    • 法國
    • 義大利
    • 西班牙
    • 其他歐洲地區
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 其他亞太地區
  • 世界其他地區

第11章價值鏈分析

  • 邊際分析
  • 進入市場的公司名單

第十二章競爭態勢

  • 競爭對手儀表板
  • 競爭市場定位分析
  • 波特五力分析

第十三章公司簡介

  • Atos SE
    • Company Overview
    • Key Financials
    • SWOT Analysis
    • Product Portfolio
    • Recent Developments
  • Koninklijke Philips N.V.
  • Altair Engineering Inc.
  • Verto Health
  • Twin Health
  • Dassault Systemes
  • PrediSurge
  • Virtonomy GmbH
  • Siemens Healthineers AG'
  • Microsoft

第 14 章縮寫與先決條件

第15章附錄

簡介目錄
Product Code: UMHE212765

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

  • 1.1. Market Definitions
  • 1.2. Main Objective
  • 1.3. Stakeholders
  • 1.4. Limitation

2.RESEARCH METHODOLOGY OR ASSUMPTION

  • 2.1. Research Process of the Digital Twin In Healthcare Market
  • 2.2. Research Methodology of the Digital Twin In Healthcare Market
  • 2.3. Respondent Profile

3.EXECUTIVE SUMMARY

  • 3.1. Industry Synopsis
  • 3.2. Segmental Outlook
    • 3.2.1. Market Growth Intensity
  • 3.3. Regional Outlook

4.MARKET DYNAMICS

  • 4.1. Drivers
  • 4.2. Opportunity
  • 4.3. Restraints
  • 4.4. Trends
  • 4.5. PESTEL Analysis
  • 4.6. Demand Side Analysis
  • 4.7. Supply Side Analysis
    • 4.7.1. Merger & Acquisition
    • 4.7.2. Investment Scenario
    • 4.7.3. Industry Insights: Leading Startups and Their Unique Strategies

5.PRICING ANALYSIS

  • 5.1. Regional Pricing Analysis
  • 5.2. Price Influencing Factors

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

7.MARKET INSIGHTS BY TYPE

  • 7.1. Process & System Digital Twin
  • 7.2. Product Digital Twin

8.MARKET INSIGHTS BY APPLICATION

  • 8.1. Asset and Process Management
  • 8.2. Personalized Medicine
  • 8.3. Drug Discovery
  • 8.4. Others

9.MARKET INSIGHTS BY END USER

  • 9.1. Hospital and Clinics
  • 9.2. Clinical Research Organizations
  • 9.3. Others

10.MARKET INSIGHTS BY REGION

  • 10.1. North America
    • 10.1.1. U.S.
    • 10.1.2. Canada
    • 10.1.3. Rest of North America
  • 10.2. Europe
    • 10.2.1. Germany
    • 10.2.2. U.K.
    • 10.2.3. France
    • 10.2.4. Italy
    • 10.2.5. Spain
    • 10.2.6. Rest of Europe
  • 10.3. Asia-Pacific
    • 10.3.1. China
    • 10.3.2. Japan
    • 10.3.3. India
    • 10.3.4. Rest of Asia-Pacific
  • 10.4. Rest of World

11.VALUE CHAIN ANALYSIS

  • 11.1. Marginal Analysis
  • 11.2. List of Market Participants

12.COMPETITIVE LANDSCAPE

  • 12.1. Competition Dashboard
  • 12.2. Competitor Market Positioning Analysis
  • 12.3. Porter Five Force Analysis

13.COMPANY PROFILED

  • 13.1. Atos SE
    • 13.1.1. Company Overview
    • 13.1.2. Key Financials
    • 13.1.3. SWOT Analysis
    • 13.1.4. Product Portfolio
    • 13.1.5. Recent Developments
  • 13.2. Koninklijke Philips N.V.
  • 13.3. Altair Engineering Inc.
  • 13.4. Verto Health
  • 13.5. Twin Health
  • 13.6. Dassault Systemes
  • 13.7. PrediSurge
  • 13.8. Virtonomy GmbH
  • 13.9. Siemens Healthineers AG'
  • 13.10. Microsoft

14.ACRONYMS & ASSUMPTION

15.ANNEXURE