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市場調查報告書
商品編碼
1479823
醫療保健數位孿生的全球市場-依治療領域,數位孿生類型,應用領域,最終用戶和主要區域劃分:行業趨勢和全球預測(截至 2035 年)Digital Twins in Healthcare Market: Industry Trends and Global Forecasts, till 2035 - Distribution by Therapeutic Area, Type of Digital Twin, Areas of Application, End Users and Key Geographical Regions |
預計到 2024 年,醫療保健領域數位孿生的市場規模將達到 19 億美元,並預計在 2024 年至 2035 年的預測期內將以 30% 的複合年增長率增長。
數位孿生是指透過即時資料或模擬模型產生的實體實體或系統的虛擬副本。這些數位複製品在製藥領域具有廣泛的應用,包括加快臨床試驗、在更廣泛的受眾中進行模擬試驗、提高治療效果以及降低藥物設計和測試成本。工業 4.0 技術的興起促進了無縫數據整合以及實體資產、流程甚至人體生理學虛擬副本的創建,從而刺激了醫療保健領域數位孿生市場的成長。
最近的一項調查顯示,醫療保健公司高層預計製藥公司的投資將大幅增加,預計未來三年將增加超過65%。數位孿生在加快臨床試驗時間表和促進涉及大量人群的模擬研究方面也發揮著至關重要的作用。值得注意的是,研究團隊設計了一種風險評估工具,利用虛擬模擬、機器學習和其他方法來估計各種藥物的心臟毒性潛力。這項創新可能有助於減輕每年估計 25 億美元的藥物設計和測試成本。此類技術可以部署預測性維護策略、模擬製藥流程和即時監控,增加了製藥公司探索潛力的興趣。近 90% 的醫療保健主管將數位孿生視為促進組織內不同部門之間協作的重要技術。此外,對虛擬模擬、個人化醫療和預測性維護不斷增長的需求預計將推動製藥業數位孿生應用的進一步探索。
該報告調查了全球醫療保健數位孿生市場,並依治療領域、數位孿生類型、應用領域、最終用戶、地區和進入市場的公司提供了市場概況、趨勢等。
Digital Twins in Healthcare Market: Industry Trends and Global Forecasts, till 2035 - Distribution by Therapeutic Area (Cardiovascular Disorders, Metabolic Disorders, Orthopedic Disorders, and Other Disorders), Type of Digital Twin (Process Twins, System Twins, Whole Body Twins and Body Part Twins), Areas of Application (Asset / Process Management, Personalized Treatment, Surgical Planning, Diagnosis and Other Applications), End Users (Pharmaceutical Companies, Medical Device Manufacturers, Healthcare Providers, Patients and Other End Users) and Key Geographical Regions (North America, Europe, Asia, Latin America, Middle East and North Africa, and Rest of the World)
The Digital Twins in Healthcare Market is valued at USD 1.9 billion in 2024 growing at a CAGR of 30% during the forecast period 2024-2035.
Digital twins represent virtual counterparts of physical entities or systems, generated through real-time data and simulation models. These digital replicas offer diverse applications within the pharmaceutical sector, including expediting clinical trials, conducting simulated studies for broader demographics, enhancing treatment efficacy, and reducing costs in drug design and testing. The rise of Industry 4.0 technologies has fueled growth in the healthcare sector's digital twins market, facilitating seamless data integration and the creation of virtual replicas of physical assets, processes, and even human physiology.
A recent study suggests that healthcare executives foresee a significant uptick in investment from pharmaceutical firms, with a projected increase of over 65% in the next three years. Digital twins also play a pivotal role in accelerating clinical trial timelines and facilitating simulated studies involving larger populations. Notably, a team of researchers has devised a risk assessment tool utilizing virtual simulation, machine learning, and other methodologies to estimate the cardiotoxicity potential of various drugs. This innovation stands to mitigate some of the expenses associated with the estimated $2.5 billion spent annually on drug design and testing. Such technologies empower organizations to deploy predictive maintenance strategies, simulate pharmaceutical processes, and enable real-time monitoring, prompting increased interest from pharmaceutical companies in exploring their potential. Nearly 90% of healthcare executives recognize digital twins as indispensable technologies for fostering collaboration among various units within their organizations. Moreover, the escalating demand for virtual simulation, personalized medicine, and predictive maintenance is poised to fuel further exploration of digital twin applications in the pharmaceutical industry.
Key Market Segments
Therapeutic Area
Cardiovascular Disorders
Metabolic Disorders
Orthopedic Disorders
Other Disorders
Type of Digital Twin
Process Twins
System Twins
Whole Body Twins
Body Part Twins
Area of Application
Asset / Process Management
Personalized Treatment
Surgical Planning
Diagnosis
Other Applications
End Users
Pharmaceutical Companies
Medical Device Manufacturers
Healthcare Providers
Patients
Other End Users
Key Geographical Regions
North America
Europe
Asia
Latin America
Middle East and North Africa
Rest of the World
Research Coverage:
This chapter offers a succinct overview of key digital twin concepts, including a discussion on the diverse types of digital twins and how they are primarily utilized in healthcare. Additionally, it delves into recent advancements observed within this market sector.
This chapter provides an in-depth examination of the current market landscape concerning entities involved in digital twin development. It includes details such as their establishment year, company size, and headquarters location. Furthermore, it presents a comprehensive assessment of the broader digital twins market within healthcare, focusing on various pertinent parameters. The assessment encompasses the status of development, categorized as commercially available or under development, and explores therapeutic areas like cardiovascular disorders, metabolic disorders, orthopedic disorders, and others. Additionally, it examines diverse areas of application such as asset/process management, personalized treatment, surgical planning, diagnosis, health monitoring, clinical trials, and medical training. Moreover, the analysis considers the type of technology utilized, including artificial intelligence, virtual reality, augmented reality, blockchain, and others. It also distinguishes between different types of digital twins, such as body part twin, whole body twin, process twin, and system twin. Furthermore, the evaluation extends to end users, including healthcare providers, pharmaceutical companies, medical device manufacturers, patients, and others.
This section provides an extensive examination of the digital twins market within healthcare, focusing on current trends. It utilizes five schematic representations to illustrate key aspects: areas of application and development status, technology types and digital twin categories, end user types and digital twin categories, application areas and headquarters locations, and company sizes and headquarters locations. These representations offer valuable insights into the dynamic landscape of digital twins in healthcare, highlighting trends and key factors shaping the market.
A comprehensive analysis of competitiveness among stakeholders engaged in the production and development of digital twins in the healthcare sector is presented in this section. It evaluates various parameters including years of experience, portfolio strength (encompassing the number of products, development status, areas of application, technology employed, end users targeted, and types of twins created), partnership effectiveness (measured by the number of partnerships, their duration, and the nature of collaborations), and funding capacity (evaluated by the frequency, amount, timing, and type of funding received). Through this analysis, a detailed understanding of the competitive landscape in the healthcare digital twins market is provided, shedding light on the strengths and capabilities of key players in the industry.
Comprehensive company profiles of various prominent players that are currently involved in the digital twins in healthcare market. Each company profile features a brief overview of the company (including information on its year of establishment, number of employees, location of headquarters and key members of the executive team), financial information (if available), details related to its recent developments and an informed future outlook.
A thorough analysis is conducted on the partnerships forged among diverse stakeholders within the timeframe of 2018-2023. This analysis encompasses a spectrum of collaborative endeavors including acquisitions, mergers, commercialization agreements, licensing agreements, product development agreements, research agreements, service agreements, service alliances, technology development agreements, technology integration agreements, technology utilization agreements, and other forms of partnerships. Through this examination, a comprehensive understanding of the evolving landscape of collaborations within the specified period is provided, shedding light on the dynamics and implications of these strategic alliances in the industry.
This section conducts an analysis of funding and investments garnered by players operating in the digital twin domain within the timeframe of 2018-2023. It encompasses various sources of financial backing, such as grants, seed funding, venture capital investments, initial public offerings, secondary offerings, private placements, debt financing, and other equity-related mechanisms. Through this examination, insights into the financial landscape of the digital twin sector during the specified period are provided, highlighting trends, patterns, and significant investment activities within the industry.
A proprietary analysis is conducted to assess start-ups operating within this market segment. This evaluation entails assigning monetary values to differentiating factors using the Berkus start-up valuation parameters. These parameters include the strength of the business idea, the development of a prototype, the experience of the management team, and the strategic relationships established by market players. Through this analysis, a quantitative assessment of start-up competitiveness is provided, offering insights into their potential for growth and success within the market.
This section offers a comprehensive analysis of the factors influencing the growth trajectory of the digital twin market within the healthcare sector. It encompasses the identification and analysis of key drivers propelling market expansion, potential restraints hindering growth, emerging opportunities for market advancement, and existing challenges that need to be addressed. Through this in-depth examination, a holistic understanding of the dynamics shaping the digital twin market in healthcare is provided, facilitating informed decision-making and strategic planning for stakeholders within the industry.
Comprehensive projection of the current market size, opportunity and the future growth potential of the digital twins in healthcare market, over the next decade. Based on multiple parameters, likely adoption trends and through primary validations, we have provided an informed estimate on the market evolution during the forecast period 2024-2035. The report also features likely distribution of the current and forecasted opportunity. Further, in order to account for future uncertainties and to add robustness to our model, we have provided three forecast scenarios, namely conservative, base and optimistic scenarios, representing different tracks of the industry's growth.
Elaborate projections of the current and future digital twins in healthcare market across different therapeutic areas, such as cardiovascular disorders, metabolic disorders, orthopedic disorders, and other disorders.
Detailed projection of the current and future digital twin in healthcare market across different types of digital twins, such as process twins, system twins, whole body twins and body part twins.
Comprehensive projection of the current and future digital twins in healthcare market across different areas of applications, such as asset / process management, personalized treatment, surgical planning, diagnosis and other applications.
Comprehensive projection of the current and future digital twins in healthcare market across different end users, such as pharmaceutical companies, medical device manufacturers, healthcare providers, patients and other end users.
Elaborate projection of the current and future digital twin in healthcare market across key geographical regions, such as North America, Europe, Asia, Latin America, Middle East and North Africa and Rest of the World.
Key Benefits of Buying this Report
The report offers market leaders and newcomers valuable insights into revenue estimations for both the overall market and its sub-segments.
Stakeholders can utilize the report to enhance their understanding of the competitive landscape, allowing for improved business positioning and more effective go-to-market strategies.
The report provides stakeholders with a pulse on the Digital Twins in Healthcare Market, furnishing them with essential information on significant market drivers, barriers, opportunities, and challenges.
Leading Market Companies
BigBear.ai
Certara
Dassault Systemes
Mesh Bio
NavvTrack
OnScale
Phesi
PrediSurge
SingHealth
Twin Health
Unlearn
Verto
VictoryXR
Virtonomy