市場調查報告書
商品編碼
1497824
醫療保健數位雙胞胎市場:按類型、應用和最終用途分類 - 2024-2030 年全球預測Digital Twins in Healthcare Market by Type, Application, End-use - Global Forecast 2024-2030 |
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預計2023年醫療保健領域的數位雙胞胎市場規模將達到14億美元,預計2024年將達到18.5億美元,2030年將達到108.5億美元,複合年成長率為33.92%。
醫療保健中的數位雙胞胎是有形資產、流程、人員和設備的數位複製品,旨在改善患者治療結果、減少醫療錯誤、最佳化業務效率並促進醫療保健服務創新。 。這些數位模型是使用人工智慧 (AI)、物聯網 (IoT)、巨量資料分析和機器學習 (ML) 等先進技術創建的,可模擬複雜的交互並創建資料驅動型決策。在醫療保健領域擴大採用支援物聯網的設備,以改善健康相關資料的收集,從而透過預測分析提供準確的診斷,正在推動市場成長。對個人化醫療日益成長的需求正在擴大數位雙胞胎的使用,以根據患者獨特的遺傳和健康史制定個人化的治療計劃。與醫療保健數位雙胞胎相關的資料隱私和安全問題正在阻礙市場成長。開發更有效率的演算法來準確解釋數位雙胞胎產生的大量資料的開拓預計將為市場成長創造機會。
主要市場統計 | |
---|---|
基準年[2023] | 14億美元 |
預測年份 [2024] | 18.5億美元 |
預測年份 [2030] | 108.5億美元 |
複合年成長率(%) | 33.92% |
區域洞察
在美洲,隨著政府和私部門的投資不斷增加,數位雙胞胎在醫療保健領域越來越受歡迎。此外,該地區領先的科技公司正在與醫療保健提供者合作開發用於個人化醫療和疾病管理的數位雙胞胎應用程式,這有利於美洲市場的成長。將 5G 行動通訊、人工智慧和超級運算等數位技術融入醫療保健和護理服務的政府友好舉措,為 EMEA 醫療保健市場的數位雙胞胎提供了新的機會。歐洲新興經濟體對數位和智慧醫療解決方案的大規模投資正在推動數位雙胞胎解決方案在醫療保健領域的採用。在亞太地區,老年人口的不斷成長和慢性病的流行正在對醫療保健領域對數位雙胞胎的需求產生積極影響。此外,5G 的採用正在不斷增加,以幫助實現醫療保健服務的數位化,並有望成為未來幾年醫療保健市場數位雙胞胎背後的驅動力。
FPNV定位矩陣
FPNV 定位矩陣對於評估醫療保健市場數位雙胞胎供應商的市場定位至關重要。此矩陣提供了對供應商的全面評估,並檢驗了與業務策略和產品滿意度相關的關鍵指標。這種詳細的評估使用戶能夠根據自己的要求做出明智的決定。根據評估結果,供應商被分為代表其成功程度的四個像限:前沿(F)、探路者(P)、利基(N)和重要(V)。
市場佔有率分析
市場佔有率分析是一種綜合工具,可以對醫療保健市場數位雙胞胎供應商的現狀進行深入而詳細的評估。對供應商貢獻的徹底比較和分析可以更深入地了解每個供應商的績效以及他們在爭奪市場佔有率時面臨的挑戰。這些貢獻包括整體收益、客戶群和其他重要指標。此外,該分析還提供了對該行業競爭力的寶貴見解,包括研究基準年期間觀察到的累積、分散主導地位和合併特徵等因素。有了這些詳細資訊,供應商可以做出更明智的決策並製定有效的策略,以在市場競爭中保持領先地位。
策略分析與建議
策略分析對於尋求在全球市場站穩腳跟的組織至關重要。對目前在醫療保健市場數位雙胞胎中的地位進行全面評估,使公司能夠做出符合其長期願望的明智決策。此關鍵評估涉及對組織的資源、能力和整體績效進行徹底分析,以確定核心優勢和需要改進的領域。
[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 | |
---|---|
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