市场调查报告书
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1497824
医疗保健数位双胞胎市场:按类型、应用和最终用途划分 - 2024-2030 年全球预测Digital Twins in Healthcare Market by Type, Application, End-use - Global Forecast 2024-2030 |
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预计2023年医疗保健领域的数位双胞胎市场规模将达到14亿美元,预计2024年将达到18.5亿美元,2030年将达到108.5亿美元,复合年增长率为33.92%。
医疗保健中的数位双胞胎是有形资产、流程、人员和设备的数位复製品,旨在改善患者治疗结果、减少医疗错误、优化业务效率并促进医疗保健服务创新。 。这些数位模型是使用人工智慧 (AI)、物联网 (IoT)、巨量资料分析和机器学习 (ML) 等先进技术创建的,可模拟复杂的交互并创建资料驱动型决策。在医疗保健领域越来越多地采用支援物联网的设备,以改善健康相关资料的收集,从而透过预测分析提供准确的诊断,正在推动市场成长。对个人化医疗日益增长的需求正在扩大数位双胞胎的使用,以根据患者独特的遗传和健康史制定个人化的治疗计划。与医疗保健数位双胞胎相关的资料隐私和安全问题正在阻碍市场成长。开发更有效率的演算法来准确解释数位双胞胎产生的大量资料的开拓预计将为市场成长创造机会。
主要市场统计 | |
---|---|
基准年[2023] | 14亿美元 |
预测年份 [2024] | 18.5亿美元 |
预测年份 [2030] | 108.5亿美元 |
复合年增长率(%) | 33.92% |
区域洞察
在美洲,随着政府和私部门的投资不断增加,数位双胞胎在医疗保健领域越来越受欢迎。此外,该地区领先的科技公司正在与医疗保健提供者合作开发用于个人化医疗和疾病管理的数位双胞胎应用程序,这有利于美洲市场的成长。将 5G 行动通讯、人工智慧和超级运算等数位技术融入医疗保健和护理服务的政府友好倡议,为 EMEA 医疗保健市场的数位双胞胎提供了新的机会。欧洲新兴经济体对数位和智慧医疗解决方案的大规模投资正在推动数位双胞胎解决方案在医疗保健领域的采用。在亚太地区,老年人口的不断增长和慢性病的流行正在对医疗保健领域对数位双胞胎的需求产生积极影响。此外,5G 的采用正在不断增加,以帮助实现医疗保健服务的数位化,并有望成为未来几年医疗保健市场数位双胞胎背后的驱动力。
FPNV定位矩阵
FPNV 定位矩阵对于评估医疗保健市场数位双胞胎供应商的市场定位至关重要。此矩阵提供了对供应商的全面评估,并检验了与业务策略和产品满意度相关的关键指标。这种详细的评估使用户能够根据自己的要求做出明智的决定。根据评估结果,供应商被分为代表其成功程度的四个像限:前沿(F)、探路者(P)、利基(N)和重要(V)。
市场占有率分析
市场占有率分析是一种综合工具,可以对医疗保健市场数位双胞胎供应商的现状进行深入而详细的评估。对供应商贡献的彻底比较和分析可以更深入地了解每个供应商的绩效以及他们在争夺市场占有率时面临的挑战。这些贡献包括整体收益、客户群和其他重要指标。此外,该分析还提供了对该行业竞争力的宝贵见解,包括研究基准年期间观察到的累积、分散主导地位和合併特征等因素。有了这些详细信息,供应商可以做出更明智的决策并製定有效的策略,以在市场竞争中保持领先地位。
策略分析与建议
策略分析对于寻求在全球市场站稳脚跟的组织至关重要。对目前在医疗保健市场数位双胞胎中的地位进行全面评估,使公司能够做出符合其长期愿望的明智决策。此关键评估涉及对组织的资源、能力和整体绩效进行彻底分析,以确定核心优势和需要改进的领域。
[198 Pages Report] The Digital Twins in Healthcare Market size was estimated at USD 1.40 billion in 2023 and expected to reach USD 1.85 billion in 2024, at a CAGR 33.92% to reach USD 10.85 billion by 2030.
Digital twins in healthcare encompasses the integration of digital replicas of physical assets, processes, people, and devices with real-world entities for the purpose of enhancing patient outcomes, reducing medical errors, optimizing operational efficiencies, and fostering innovation within healthcare services. These digital models are created using advanced technologies such as artificial intelligence (AI), the Internet of Things (IoT), big data analytics, and machine learning (ML) to simulate complex interactions and enable data-driven decision-making. The increased implementation of IoT-enabled devices in healthcare for better collection of health-related data to provide accurate diagnoses through predictive analysis is driving market growth. The increase in demand for personalized medicine is expanding the usage of digital twins for the creation of personalized treatment plans based on a patient's unique genetic makeup and health history. Data privacy and security concerns associated with digital twins in healthcare are hampering the market growth. Growing investment in developing more efficient algorithms that accurately interpret vast amounts of data generated by digital twins is expected to create opportunities for market growth.
KEY MARKET STATISTICS | |
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Base Year [2023] | USD 1.40 billion |
Estimated Year [2024] | USD 1.85 billion |
Forecast Year [2030] | USD 10.85 billion |
CAGR (%) | 33.92% |
Regional Insights
In the Americas, digital twins are gaining traction in healthcare with growing investment from both government and private sectors. Additionally, major tech companies in the region are collaborating with healthcare providers to develop digital twin applications for personalized medicine and disease management, thereby benefiting market growth in the Americas. Favorable governmental initiatives for incorporating digital technologies such as 5G mobile communication, artificial intelligence, and supercomputing in health and care services offer new opportunities for the digital twins in the healthcare market in EMEA. The massive investments in digital and smart healthcare solutions by the developed economies across the European region promote the adoption of digital twins in healthcare solutions. The growing presence of the geriatric population and the increasing prevalence of chronic disorders positively influence the requirement for digital twins in healthcare in the Asia-Pacific region. Moreover, the growing 5G incorporation to assist the digitalization of healthcare services is anticipated to drive digital twins in the healthcare market in the forthcoming years.
Market Insights
The market dynamics represent an ever-changing landscape of the Digital Twins in Healthcare Market by providing actionable insights into factors, including supply and demand levels. Accounting for these factors helps design strategies, make investments, and formulate developments to capitalize on future opportunities. In addition, these factors assist in avoiding potential pitfalls related to political, geographical, technical, social, and economic conditions, highlighting consumer behaviors and influencing manufacturing costs and purchasing decisions.
FPNV Positioning Matrix
The FPNV positioning matrix is essential in evaluating the market positioning of the vendors in the Digital Twins in Healthcare Market. This matrix offers a comprehensive assessment of vendors, examining critical metrics related to business strategy and product satisfaction. This in-depth assessment empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success, namely Forefront (F), Pathfinder (P), Niche (N), or Vital (V).
Market Share Analysis
The market share analysis is a comprehensive tool that provides an insightful and in-depth assessment of the current state of vendors in the Digital Twins in Healthcare Market. By meticulously comparing and analyzing vendor contributions, companies are offered a greater understanding of their performance and the challenges they face when competing for market share. These contributions include overall revenue, customer base, and other vital metrics. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With these illustrative details, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.
Recent Developments
Strasys and Silico partner for Healthcare Digital Twin Projects
Strasys and Silico have entered into an agreement to leverage digital twins of entire hospitals and healthcare systems in order to enhance decision-making. This partnership integrates Silico's business process simulation software with Strasys' technology for creating digital twins. By utilizing the BPS platform, Strasys develops digital replicas of individual business processes to assess potential changes. Linking these digital replicas allows for the creation of comprehensive digital twins, enabling Strasys to simulate the impact of different decisions on the healthcare sector. This process aids healthcare systems in optimizing operational processes, ensuring efficient service delivery, and ultimately improving patient outcomes. [Published On: 2022-12-02]
NTT, Harvard Announce Digital Twin Partnership to Engineer the Heart
NTT Research and Harvard's John A. Paulson School of Engineering and Applied Sciences collaborated on a three-year joint research agreement with a focus on digital twins in healthcare. The primary objective of this partnership is to advance cardiac care by developing a cardiovascular bio-digital twin model. Within this collaboration, NTT Research's MEI Lab has dedicated its efforts to the development of multiscale precision cardiology platforms and heart-on-a-chip technology. On the other hand, SEAS' Disease Biophysics Group has been actively working towards creating an engineering replica of the human heart for almost two decades. By combining their expertise and resources, NTT Research and Harvard aim to make significant advancements in the field of digital twins in healthcare, particularly in the domain of cardiac care. [Published On: 2022-11-30]
Euro 36.5 million Invested in Healthcare Tech, Including Digital Hubs and Digital Twins
The UK Research and Innovation (UKRI) has recently committed a significant investment of Euro 36.5 million to advance the field of digital health. As part of this initiative, Euro 16.5 million has been allocated to establish new digital health hubs across England. One notable project in this domain is being undertaken by the University of Strathclyde, which is developing computer models referred to as 'digital twins'. These digital twins hold promise in assisting doctors in testing medical procedures and predicting patient outcomes. By leveraging this innovative model, personalized treatments can be tailored to each patient, leading to improved patient outcomes and reduced recovery times. This approach aims to enhance the delivery of healthcare services and contribute to the advancement of medical research. [Published On: 2022-06-13]
Strategy Analysis & Recommendation
The strategic analysis is essential for organizations seeking a solid foothold in the global marketplace. Companies are better positioned to make informed decisions that align with their long-term aspirations by thoroughly evaluating their current standing in the Digital Twins in Healthcare Market. This critical assessment involves a thorough analysis of the organization's resources, capabilities, and overall performance to identify its core strengths and areas for improvement.
Key Company Profiles
The report delves into recent significant developments in the Digital Twins in Healthcare Market, highlighting leading vendors and their innovative profiles. These include Accenture PLC, ANSYS Inc., Atos SE, Babylon Healthcare Services Ltd., Cence Power Inc., Daffodil Software, Dassault Systemes S.E., Faststream Technologies, GE HealthCare Technologies Inc., International Business Machines Corporation, Koninklijke Philips N.V., Microsoft Corporation, MOSIMTEC, LLC, NUREA, NVIDIA Corporation, Predictiv Care Inc., PrediSurge, Q Bio, Inc., Rescale, Inc., Siemens Healthcare GmbH, Spinview Global Limited, Tata Consultancy Services Limited, Twin LTD, Unlearn AI, and Verto Inc..
Market Segmentation & Coverage