세계 의료 분야 디지털 트윈 시장 규모는 2023년에 15억 5,000만 달러에 달했습니다. 2031년에는 275억 달러에 달할 것으로 예상되며, 예측 기간인 22024-2031년간 18.1%의 연평균 복합 성장률(CAGR)을 나타낼 전망입니다.
의료에서 디지털 트윈은 환자, 병원 및 기타 시스템을 포함한 물리적 실체와 프로세스를 의미합니다. 전자 의료 기록(EHR), 질병 등록, 오믹스 데이터와 함께 인구통계학적 정보 및 라이프스타일 정보를 포함하고 있으며, IoT 및 AI 기술의 도입과 다차원 데이터의 가용성으로 인해 디지털 트윈에 대한 탐구와 유용성이 증가하고 있습니다. 디지털 트윈을 충분히 활용하면 라이프스타일, 건강, 웰니스, 만성질환 관리에 획기적인 패턴을 제공할 수 있습니다.
성장 촉진요인과 억제요인
기술 발전 증가
의료 시장에서 디지털 트윈의 성장은 인공지능, 머신러닝, IoT, 클라우드 컴퓨팅의 기술 발전으로 이루어지고 있으며, AI와 ML은 정확한 예측 모델을 만들어 질병 진행과 치료 결과에 대한 통찰력을 제공하고, IoT의 통합은 환자의 역동적인 디지털 복제본을 생성할 수 있는 실시간 데이터를 가능하게 합니다. 실시간 데이터를 통해 환자의 역동적인 디지털 복제본을 생성할 수 있습니다. 클라우드 컴퓨팅은 방대한 데이터 세트의 저장과 처리를 용이하게 하여 의료 서비스 제공업체의 접근성과 확장성을 보장합니다. 증강현실과 가상현실 기술은 디지털 트윈 기반의 몰입형 시뮬레이션을 제공함으로써 수술 계획과 의료 교육에 변화를 가져왔습니다. 이러한 발전은 의료의 효율성과 환자 결과를 개선할 뿐만 아니라 진단, 개인 맞춤형 의료 및 의약품 개발에도 적용될 수 있는 가능성을 넓혀주고 있습니다.
예를 들어, 2024년 5월 트윈헬스(Twin Health)는 디지털 트윈 AI 플랫폼을 확장해 회원들이 2형 당뇨병을 완치하고 약물 없이도 비만과 체중감량을 할 수 있도록 돕는 '건강한 체중 솔루션'을 출시할 예정입니다. 건강한 체중을 달성할 수 있도록 지원합니다. 이 프로그램은 GLP-1 및 기타 고가의 건강 개입에 대한 의존도를 줄임으로써 절감된 비용으로 운영됩니다.
데이터의 프라이버시 및 보안
세계 의료용 디지털 트윈 시장은 데이터 프라이버시 및 보안이라는 큰 문제에 직면해 있습니다. 이러한 장치들은 민감한 의료 기록, 유전자 정보, IoT 지원 장치의 데이터 등 실시간 환자 데이터 수집에 의존하고 있습니다. 이러한 데이터는 사이버 공격, 무단 액세스 및 침해의 위험에 노출되어 환자의 신뢰를 떨어뜨리고 의료 서비스 제공업체를 법적 및 재정적 책임에 노출시킬 수 있습니다. 상호 운용 가능한 시스템 전반에 걸쳐 데이터 프라이버시를 관리하는 복잡성은 취약성 위험을 증가시킵니다. 이러한 문제를 해결하기 위해서는 강력한 암호화 기술, 안전한 액세스 프로토콜, 엄격한 컴플라이언스 대책이 필요하지만, 의료 기관이 이를 효과적으로 도입하는 것은 비용이 많이 들고 기술적으로도 어려울 수 있습니다.
The global digital twins in healthcare market reached US$ 1.55 billion in 2023 and is expected to reach US$ 27.5 billion by 2031, growing at a CAGR of 18.1% during the forecast period 2024-2031.
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.
The global digital twins in healthcare market is segmented based on product type, application, technology, end user and region.
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.
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.
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.
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.
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.
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