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IoT 數位孿生

市場調查報告書

商品編碼

1629819

醫療保健市場的全球數位孿生 - 2024-2031

Global Digital Twins in Healthcare Market - 2024-2031

出版日期: 2024年12月30日 | 出版商:

DataM Intelligence | 英文 176 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

2023年，全球醫療保健市場的數位孿生規模達到15.5億美元，預計2031年將達到275億美元，2024-2031年預測期間複合年成長率為18.1%。

醫療保健中的數位孿生代表實體和流程，包括病患、醫院和其他系統。它們包含電子健康記錄 (EHR)、疾病登記和組學資料，以及人口和生活方式資訊。物聯網和人工智慧技術的引入以及多維資料的可用性增加了數位孿生的探索和實用性。如果充分利用，數位孿生可以為管理生活方式、健康、保健和慢性病提供突破性模式。

市場動態：

驅動程式和限制

不斷進步的技術

人工智慧、機器學習、物聯網和雲端運算的技術進步推動了醫療保健市場中數位孿生的全球成長。人工智慧和機器學習能夠創建準確的預測模型，提供對疾病進展和治療結果的見解。物聯網整合允許使用即時資料來創建患者的動態數位副本。雲端運算有助於海量資料集的儲存和處理，確保醫療保健提供者的可存取性和可擴展性。擴增實境和虛擬實境技術改變了手術規劃和醫療培訓，提供基於數位孿生的沉浸式模擬。這些進步不僅提高了醫療保健效率和患者治療效果，還擴大了其在診斷、個人化醫療和藥物開發方面的潛在應用。

例如，2024 年 5 月，Twin Health 正在擴展其數位孿生人工智慧平台，該平台已幫助會員實現 2 型糖尿病的緩解並消除藥物治療，以解決肥胖和減肥問題。健康體重解決方案結合了人工智慧和富有同情心的臨床護理，幫助會員無需藥物即可達到健康體重。該計劃的資金來自於減少對 GLP-1 和其他昂貴的健康干預措施的依賴而節省的資金。

資料隱私和安全問題

醫療保健市場的全球數位孿生在確保資料隱私和安全方面面臨重大挑戰。這些設備依賴即時患者資料收集，包括敏感的醫療記錄、遺傳資訊和支援物聯網的設備資料。這些資料面臨網路攻擊、未經授權的存取和洩漏的風險，這可能會破壞患者的信任並使醫療保健提供者承擔法律和財務責任。跨可互操作系統管理資料隱私的複雜性增加了漏洞風險。解決這些問題需要強大的加密技術、安全存取協議和嚴格的合規措施，對於醫療機構來說，有效實施這些技術可能成本高昂且在技術上具有挑戰性。

Digital Twins in healthcare represent physical entities and processes, including patients, hospitals, and other systems. They incorporate electronic health records (EHRs), disease registries, and omics data, along with demographic and lifestyle information. The introduction of IoT and AI technologies and the availability of multidimensional data have increased the exploration and usefulness of digital twins. With full utilization, digital twins can provide a breakthrough pattern for managing lifestyle, health, wellness, and chronic diseases.

Market Dynamics: Drivers & Restraints

Increasing Technological Advancements

The global growth of digital twins in the healthcare market is driven by technological advancements in artificial intelligence, machine learning, IoT, and cloud computing. AI and ML enable the creation of accurate and predictive models, providing insights into disease progression and treatment outcomes. IoT integration allows for real-time data for creating dynamic digital replicas of patients. Cloud computing facilitates the storage and processing of massive datasets, ensuring accessibility and scalability for healthcare providers. Augmented reality and virtual reality technologies have transformed surgical planning and medical training, providing immersive simulations based on digital twins. These advancements not only improve healthcare efficiency and patient outcomes but also expand their potential applications in diagnostics, personalized medicine, and drug development.

For instance, in May 2024, Twin Health is expanding its digital twin AI platform, which has helped members achieve remission of type 2 diabetes and eliminate medications, to address obesity and weight loss. The Healthy Weight solution combines AI and compassionate clinical care to help members achieve a healthy weight without medication. The program is funded by savings from reduced reliance on GLP-1s and other costly health interventions.

Data Privacy and Security Concerns

The global digital twins in healthcare market face a significant challenge in ensuring data privacy and security. These devices rely on real-time patient data collection, including sensitive medical records, genetic information, and IoT-enabled device data. This data is at risk of cyberattacks, unauthorized access, and breaches, which can undermine patient trust and expose healthcare providers to legal and financial liabilities. The complexity of managing data privacy across interoperable systems increases the risk of vulnerabilities. Addressing these issues requires robust encryption techniques, secure access protocols, and stringent compliance measures, which can be costly and technically challenging for healthcare organizations to implement effectively.

Segment Analysis

The global digital twins in healthcare market is segmented based on product type, application, technology, end user and region.

Product type:

Software segment is expected to dominate the digital twins in healthcare market share

The software segment holds a major portion of the digital twins in healthcare market share and is expected to continue to hold a significant portion of the digital twins in healthcare market share during the forecast period.

Software is a vital component in the global healthcare market, enabling the creation, management, and utilization of digital twin models. It integrates patient data from various sources, such as EHR, wearable devices, imaging systems, and IoT devices, to create accurate and dynamic virtual replicas of patients or healthcare systems.

These solutions use artificial intelligence and machine learning algorithms to analyze vast datasets, predict disease progression, and simulate treatment outcomes, enabling precision medicine and better clinical decision-making. Software tools also facilitate seamless visualization of digital twins through user-friendly dashboards, enabling healthcare professionals to interact with and manipulate virtual models for diagnostics, treatment planning, and monitoring. As software evolves, it drives innovation in healthcare, making digital twins a central element in patient care and operational efficiency.

Application:

Diagnostics segment is the fastest-growing segment in digital twins in healthcare market share

The diagnostics segment is the fastest-growing segment in the digital twins in healthcare market share and is expected to hold the market share over the forecast period.

Diagnostics has evolved into one of the greatest applications of digital twins in the global health market, thereby transforming, according to world standards, the accuracy and efficiency of detecting and treating diseases. Digital twins, informed by real-time patient data from wearable devices, imaging, and electronic health records, have created highly personalized virtual models of individuals. It allows healthcare professionals to analyze patient-specific conditions and simulate possible disease course scenarios for very early and accurate diagnosis.

For example, among complex diseases such as cancer and those of the cardiovascular system, digital twins can model tumor growth or functioning of the heart to bring those abnormalities to the detection much earlier than was possible with the previous methods. Likewise, they amplify the effectiveness of diagnosis by linking AI and ML algorithms through which such subtle patterns and anomalies would be brought to light, which otherwise may go unnoticed. Such an advancement will bring down the number of misdiagnosis incidents and greatly improve patient outcomes through early interventions. Indeed, as diagnostic technologies become more sophisticated, we will see that the inclusion of digital twins is another revolution in the field-inweaving new standards of personalized and predictive health care.

Geographical Analysis

North America is expected to hold a significant position in the digital twins in healthcare market share

North America holds a substantial position in the digital twins in healthcare market and is expected to hold most of the market share due to advanced infrastructure, technological adoption, and significant investments in digital innovation.

The region's high healthcare spending and focus on personalized medicine create a favorable environment for integrating advanced solutions like digital twins. The region's IoT ecosystem, AI, and ML advancements facilitate the development of dynamic and predictive models. Supportive regulatory frameworks and government initiatives further drive adoption. The increasing prevalence of chronic diseases and demand for remote monitoring and telemedicine services underscore the need for efficient diagnostic and treatment planning tools.

For instance, in December 2023, Twin Health has secured $50 Billion in funding to expand its whole body digital twin service, which uses artificial intelligence to predict and improve chronic metabolic diseases. The service uses data from wearable sensors, clinical lab parameters, and self-reported preferences to create a dynamic model of individual metabolism. The app provides personalized guidance on nutrition, sleep, activity, and stress.

Europe is growing at the fastest pace in the Digital Twins in Healthcare market

Europe holds the fastest pace in the Digital Twins in Healthcare market and is expected to hold most of the market share due to advanced research capabilities, and supportive government policies. Leading technology providers and innovators, such as Germany, the UK, and France, are integrating digital twins into clinical workflows and medical research. Europe's focus on personalized medicine and patient-centric care further accelerates the demand for digital twin solutions. The European Union's Horizon Europe initiative actively funds research and development in digital health, creating opportunities for innovation. The region also benefits from a strong regulatory environment that promotes ethical and secure patient data use. As Europe continues to prioritize technological advancements and healthcare modernization, it plays a pivotal role in shaping the future of digital twins in the healthcare market.

Competitive Landscape

The major global players in the digital twins in healthcare market include Siemens Healthineers, GE Healthcare, Philips Healthcare, Dassault Systemes, Microsoft Corporation, IBM Corporation, Oracle Corporation, Twin Health, Medtronic, Hitachi, Ltd and among others.

Emerging Players

The emerging players in the digital twins in healthcare market include Qure.ai, BioSymetrics, Ansys, Virtonomy and among others.

Key Developments

In May 2024, Ontrak Inc, a leading AI-powered healthcare company, has launched its Mental Health Digital Twin (MHDT) technology, which combines human empathy with data-driven insights to provide personalized, precise, and effective care for individuals struggling with mental health challenges.
In February 2024, Unlearn, an AI company, has secured a $50M Series C round led by Altimeter Capital, along with Radical Ventures, Wittington Ventures, Mubadala Capital, Epic Ventures, and Necessary Venture Capital. The funding will help Unlearn advance AI to eliminate trial and error in medicine by investing in its people, data, engineering capabilities, and R&D initiatives.

Why Purchase the Report?

Pipeline & Innovations: Reviews ongoing clinical trials, product pipelines, and forecasts upcoming advancements in medical devices and pharmaceuticals.
Product Performance & Market Positioning: Analyzes product performance, market positioning, and growth potential to optimize strategies.
Real-World Evidence: Integrates patient feedback and data into product development for improved outcomes.
Physician Preferences & Health System Impact: Examines healthcare provider behaviors and the impact of health system mergers on adoption strategies.
Market Updates & Industry Changes: Covers recent regulatory changes, new policies, and emerging technologies.
Competitive Strategies: Analyzes competitor strategies, market share, and emerging players.
Pricing & Market Access: Reviews pricing models, reimbursement trends, and market access strategies.
Market Entry & Expansion: Identifies optimal strategies for entering new markets and partnerships.
Regional Growth & Investment: Highlights high-growth regions and investment opportunities.
Supply Chain Optimization: Assesses supply chain risks and distribution strategies for efficient product delivery.
Sustainability & Regulatory Impact: Focuses on eco-friendly practices and evolving regulations in healthcare.
Post-market Surveillance: Uses post-market data to enhance product safety and access.
Pharmacoeconomics & Value-Based Pricing: Analyzes the shift to value-based pricing and data-driven decision-making in R&D.

The global digital twins in healthcare market report delivers a detailed analysis with 60+ key tables, more than 50 visually impactful figures, and 176 pages of expert insights, providing a complete view of the market landscape.

Target Audience 2023

Manufacturers: Pharmaceutical, Medical Device, Biotech Companies, Contract Manufacturers, Distributors, Hospitals.
Regulatory & Policy: Compliance Officers, Government, Health Economists, Market Access Specialists.
Component & Innovation: AI/Robotics Providers, R&D Professionals, Clinical Trial Managers, Pharmacovigilance Experts.
Investors: Healthcare Investors, Venture Fund Investors, Pharma Marketing & Sales.
Consulting & Advisory: Healthcare Consultants, Industry Associations, Analysts.
Supply Chain: Distribution and Supply Chain Managers.
Consumers & Advocacy: Patients, Advocacy Groups, Insurance Companies.
Academic & Research: Academic Institutions.

1. Methodology and Scope

1.1. Research Methodology
1.2. Research Objective and Scope of the Report

2. Definition and Overview

3. Executive Summary

3.1. Snippet by Product Type
3.2. Snippet by Application
3.3. Snippet by Technology
3.4. Snippet by End User
3.5. Snippet by Region

4. Dynamics

4.1. Impacting Factors
4.2. Drivers
- 4.2.1. Increasing Technological Advancements
- 4.2.2. XX
4.3. Restraints
- 4.3.1. Data Privacy and Security Concerns
4.4. Opportunity
- 4.4.1. Impact Analysis

5. Industry Analysis

5.1. Porter's Five Force Analysis
5.2. Supply Chain Analysis
5.3. Pricing Analysis
5.4. Regulatory Analysis

6. By Product type

6.1. Introduction
- 6.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Product type
- 6.1.2. Market Attractiveness Index, By Product type
6.2. Software*
- 6.2.1. Introduction
- 6.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
6.3. Services
6.4. Hardware

7. By Application

7.1. Introduction
- 7.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 7.1.2. Market Attractiveness Index, By Application
7.2. Diagnostics*
- 7.2.1. Introduction
- 7.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
7.3. Treatment Planning
7.4. Patient Monitoring
7.5. Drug Discovery and Development
7.6. Healthcare Facility Management

8. By Technology

8.1. Introduction
- 8.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
- 8.1.2. Market Attractiveness Index, By Technology
8.2. Artificial Intelligence (AI)*
- 8.2.1. Introduction
- 8.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
8.3. Machine Learning (ML)
8.4. Internet of Things (IoT)
8.5. Augmented Reality (AR)
8.6. Virtual Reality (VR)

9. By End User

9.1. Introduction
- 9.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By End User
- 9.1.2. Market Attractiveness Index, By End User
9.2. Hospitals and Clinics*
- 9.2.1. Introduction
- 9.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
9.3. Pharmaceutical and Biotechnology Companies
9.4. Academic and Research Institutes
9.5. Diagnostic Centers

10. By Region

10.1. Introduction
- 10.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Region
- 10.1.2. Market Attractiveness Index, By Region
10.2. North America
- 10.2.1. Introduction
- 10.2.2. Key Region-Specific Dynamics
- 10.2.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Product Type
- 10.2.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 10.2.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
- 10.2.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By End User
- 10.2.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 10.2.7.1. U.S.
  - 10.2.7.2. Canada
  - 10.2.7.3. Mexico
10.3. Europe
- 10.3.1. Introduction
- 10.3.2. Key Region-Specific Dynamics
- 10.3.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Product Type
- 10.3.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 10.3.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
- 10.3.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By End User
- 10.3.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 10.3.7.1. Germany
  - 10.3.7.2. U.K.
  - 10.3.7.3. France
  - 10.3.7.4. Spain
  - 10.3.7.5. Italy
  - 10.3.7.6. Rest of Europe
10.4. South America
- 10.4.1. Introduction
- 10.4.2. Key Region-Specific Dynamics
- 10.4.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Product Type
- 10.4.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 10.4.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
- 10.4.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By End User
- 10.4.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 10.4.7.1. Brazil
  - 10.4.7.2. Argentina
  - 10.4.7.3. Rest of South America
10.5. Asia-Pacific
- 10.5.1. Introduction
- 10.5.2. Key Region-Specific Dynamics
- 10.5.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Product Type
- 10.5.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 10.5.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
- 10.5.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By End User
- 10.5.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 10.5.7.1. China
  - 10.5.7.2. India
  - 10.5.7.3. Japan
  - 10.5.7.4. South Korea
  - 10.5.7.5. Rest of Asia-Pacific
10.6. Middle East and Africa
- 10.6.1. Introduction
- 10.6.2. Key Region-Specific Dynamics
- 10.6.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Product Type
- 10.6.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 10.6.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
- 10.6.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By End User

11. Competitive Landscape

11.1. Competitive Scenario
11.2. Market Positioning/Share Analysis
11.3. Mergers and Acquisitions Analysis

12. Company Profiles

12.1. Siemens Healthineers*
- 12.1.1. Company Overview
- 12.1.2. Product Portfolio and Description
- 12.1.3. Financial Overview
- 12.1.4. Key Developments
12.2. GE Healthcare
12.3. Philips Healthcare
12.4. Dassault Systemes
12.5. Microsoft Corporation
12.6. IBM Corporation
12.7. Oracle Corporation
12.8. Twin Health
12.9. Medtronic
12.10. Hitachi, Ltd

LIST NOT EXHAUSTIVE