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IoT 數位孿生

市場調查報告書

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1638861

醫療保健數位孿生市場機會、成長促進因素、產業趨勢分析與預測 2024 - 2032 年

Healthcare Digital Twins Market Opportunity, Growth Drivers, Industry Trend Analysis, and Forecast 2024 - 2032

出版日期: 2024年11月08日 | 出版商:

Global Market Insights Inc. | 英文 135 Pages | 商品交期: 2-3個工作天內

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簡介目錄

2023 年，全球醫療保健數位孿生市場估值為13 億美元，預計2024 年至2032 年複合年成長率將達到42.6%。和即時資料的整合推動的醫療保健系統內的分析。

向個人化醫療的轉變是醫療保健領域採用數位孿生技術的主要驅動力。數位孿生能夠創建精確的、針對特定患者的模擬，從而製定量身定做的治療計劃。透過以數位方式複製患者的生物系統，醫療保健提供者可以預測他們對不同治療的反應，從而幫助最佳化個人的醫療照護和結果。

醫療保健數位孿生市場分為軟體和服務。 2023 年，軟體領域佔最大市場佔有率，創造 7.787 億美元。數位孿生軟體可幫助醫療保健專業人員和研究人員能夠即時創建詳細的患者模型並與之互動。這些軟體解決方案支援各種應用，包括預測分析、個人化治療計劃和手術準備。透過利用先進的資料分析、人工智慧 (AI) 和機器學習，數位孿生軟體有助於模擬患者特定的場景，提供對治療效果和疾病進展的準確預測。

市場範圍
開始年份	2023年
預測年份	2024-2032
起始值	13億美元
預測值	312 億美元
複合年成長率	42.6%

在應用方面，醫療保健數位孿生市場分為個人化醫療、藥物發現、手術規劃以及醫療設備設計和測試等領域。其中，個人化醫療領域預計將顯著資料，到 2032 年可能達到 102 億美元。治療反應並預測結果-世界干預。這對於管理癌症、糖尿病和心血管疾病等慢性疾病特別有價值，在這些疾病中，個人化的治療計劃對於提高療效和患者預後至關重要。隨著基因組學、人工智慧和巨量資料的進步，數位孿生可以整合不同的資料來源，建構更全面、更準確的模型，進一步增強個人化醫療保健。

在北美，美國在醫療保健數位孿生市場中佔有最大佔有率，2023年收入為4.437億美元。的發展數位孿生模型。這些技術可以實現更有效的個人化治療並改善患者的治療效果。此外，監管機構和政府措施的支持促進了數位孿生解決方案的廣泛採用，鼓勵醫療保健提供者投資這些技術，以實現更好的藥物開發和患者管理。

產業生態系統分析
產業影響力
- 成長動力
  - 對個人化醫療和預測性醫療保健的需求不斷成長
  - 物聯網與即時資料分析的整合
  - 技術進步
  - 擴大遠距醫療和遠距監控
- 產業陷阱與挑戰
  - 安全問題和投資挑戰
成長潛力分析
監管環境
技術景觀
差距分析
未來市場趨勢
啟動場景
波特的分析
PESTEL分析

第 4 章：競爭格局

介紹
公司市佔率分析
公司矩陣分析
主要市場參與者的競爭分析
競爭定位矩陣
戰略儀表板

第 5 章：市場估計與預測：按類型，2021 - 2032

主要趨勢
軟體
服務

第 6 章：市場估計與預測：按應用分類，2021 - 2032

主要趨勢
個人化醫療
藥物發現與開發
手術計劃
醫療器材設計與測試
其他應用

第 7 章：市場估計與預測：按最終用途，2021 - 2032 年

主要趨勢
醫院和診所
臨床研究組織（CRO）
研究和診斷實驗室
其他最終用戶

第 8 章：市場估計與預測：按地區，2021 - 2032

主要趨勢
北美洲
- 美國
- 加拿大
歐洲
- 德國
- 英國
- 法國
- 義大利
- 西班牙
- 荷蘭
亞太地區
- 中國
- 日本
- 印度
- 澳洲
- 韓國
拉丁美洲
- 巴西
- 墨西哥
- 阿根廷
中東和非洲
- 南非
- 沙烏地阿拉伯
- 阿拉伯聯合大公國

第 9 章：公司簡介

Ansys
Dassault Systems (3DS System)
Faststream Technologies
Microsoft
Oracle
Philips Healthcare
Predictive Healthcare
PrediSurge
Q Bio
Siemens Healthineers
ThoughtWire
Twin Health
Unlearn AI
Verto Healthcare
Virtonomy

簡介目錄

Product Code: 12209

The Global Healthcare Digital Twins Market was valued at USD 1.3 billion in 2023 and is projected to expand at 42.6% CAGR from 2024 to 2032. This growth is largely fueled by the increasing demand for personalized medicine and the integration of IoT and real-time data analytics within healthcare systems.

The shift towards personalized medicine is a major driver behind the adoption of digital twin technology in healthcare. Digital twins enable the creation of precise, patient-specific simulations that allow for tailored treatment plans. By replicating a patient's biological systems digitally, healthcare providers can predict how they might respond to different treatments, helping to optimize medical care and outcomes for individuals.

The healthcare digital twins market is divided into software and services. In 2023, the software segment held the largest share of the market, generating USD 778.7 million. Digital twin software aid enables healthcare professionals and researchers to create and interact with detailed patient models in real time. These software solutions support a variety of applications, including predictive analytics, personalized treatment plans, and surgical preparations. By utilizing advanced data analytics, artificial intelligence (AI), and machine learning, digital twin software helps simulate patient-specific scenarios, offering accurate predictions on treatment efficacy and disease progression.

Market Scope
Start Year	2023
Forecast Year	2024-2032
Start Value	$1.3 Billion
Forecast Value	$31.2 Billion
CAGR	42.6%

In terms of application, the healthcare digital twins market is segmented into areas like personalized medicine, drug discovery, surgical planning, and medical device design and testing. Among these, the personalized medicine segment is expected to grow significantly, potentially reaching USD 10.2 billion by 2032. Digital twin technology facilitates a detailed virtual model of a patient's physiological and genetic data, allowing healthcare providers to simulate treatment responses and predict outcomes before initiating real-world interventions. This is particularly valuable for managing chronic conditions such as cancer, diabetes, and cardiovascular diseases, where personalized treatment plans are crucial to improving effectiveness and patient outcomes. With advancements in genomics, AI, and big data, digital twins can integrate diverse data sources to build more comprehensive and accurate models, further enhancing personalized healthcare.

In North America, the U.S. holds the largest share of the healthcare digital twins market, with a revenue of USD 443.7 million in 2023. The U.S. leads in healthcare technology innovation, with substantial investments in AI and machine learning, which drive the development of advanced digital twin models. These technologies enable more effective personalized treatments and improved patient outcomes. Additionally, support from regulatory bodies and government initiatives promotes the widespread adoption of digital twin solutions, encouraging healthcare providers to invest in these technologies for better drug development and patient management.

Chapter 1 Methodology & Scope

1.1 Market scope & definitions
1.2 Research design
- 1.2.1 Research approach
- 1.2.2 Data collection methods
1.3 Base estimates & calculations
- 1.3.1 Base year calculation
- 1.3.2 Key trends for market estimation
1.4 Forecast model
1.5 Primary research and validation
- 1.5.1 Primary sources
- 1.5.2 Data mining sources

Chapter 2 Executive Summary

2.1 Industry 360° synopsis

Chapter 3 Industry Insights

3.1 Industry ecosystem analysis
3.2 Industry impact forces
- 3.2.1 Growth drivers
  - 3.2.1.1 Increasing demand for personalized medicine and predictive healthcare
  - 3.2.1.2 Integration of IoT and real-time data analytics
  - 3.2.1.3 Advancements in technology
  - 3.2.1.4 Expansion of telehealth and remote monitoring
- 3.2.2 Industry pitfalls & challenges
  - 3.2.2.1 Security concerns and investment challenges
3.3 Growth potential analysis
3.4 Regulatory landscape
3.5 Technological landscape
3.6 Gap analysis
3.7 Future market trends
3.8 Start-up scenario
3.9 Porter's analysis
3.10 PESTEL analysis

Chapter 4 Competitive Landscape, 2023

4.1 Introduction
4.2 Company market share analysis
4.3 Company matrix analysis
4.4 Competitive analysis of major market players
4.5 Competitive positioning matrix
4.6 Strategy dashboard

Chapter 5 Market Estimates and Forecast, By Type, 2021 - 2032 ($ Mn)

5.1 Key trends
5.2 Software
5.3 Services

Chapter 6 Market Estimates and Forecast, By Application, 2021 - 2032 ($ Mn)

6.1 Key trends
6.2 Personalized medicine
6.3 Drug discovery & development
6.4 Surgical planning
6.5 Medical device designing & testing
6.6 Other applications

Chapter 7 Market Estimates and Forecast, By End Use, 2021 - 2032 ($ Mn)

7.1 Key trends
7.2 Hospitals and clinics
7.3 Clinical research organizations (CRO)
7.4 Research & diagnostic laboratories
7.5 Other end users

Chapter 8 Market Estimates and Forecast, By Region, 2021 - 2032 ($ Mn)

8.1 Key trends
8.2 North America
- 8.2.1 U.S.
- 8.2.2 Canada
8.3 Europe
- 8.3.1 Germany
- 8.3.2 UK
- 8.3.3 France
- 8.3.4 Italy
- 8.3.5 Spain
- 8.3.6 Netherlands
8.4 Asia Pacific
- 8.4.1 China
- 8.4.2 Japan
- 8.4.3 India
- 8.4.4 Australia
- 8.4.5 South Korea
8.5 Latin America
- 8.5.1 Brazil
- 8.5.2 Mexico
- 8.5.3 Argentina
8.6 Middle East and Africa
- 8.6.1 South Africa
- 8.6.2 Saudi Arabia
- 8.6.3 UAE