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Digital Twins in Healthcare Market to reach US$ 12.41 billion by 2033 at a CAGR of 24.9%, Software segment holds 77.5% market revenue, North America Holds 56.81% share of Global Market

12-03-2025 10:52 AM CET | Health & Medicine

Press release from: DataM intelligence 4 Market Research LLP

Digital Twins in Healthcare Market

Digital Twins in Healthcare Market

Digital Twins in Healthcare Market reached US$ 1.72 billion in 2024 and is expected to reach US$ 12.41 billion by 2033, growing at a CAGR of 24.9% during the forecast period 2025-2033.

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The global digital twins in healthcare market is experiencing rapid growth as a result of increasing investments in digital twin technologies, the rise of personalized medicine, and the demand for improved patient outcomes. Digital twin technology, which creates a digital replica of a physical entity or system, has gained prominence in healthcare by allowing real-time monitoring, simulation, and prediction of patient-specific health data. These innovations offer significant improvements in diagnostics, surgical planning, disease management, and overall patient care.

United States: Key Industry Developments
✅ September 2025: Siemens Healthineers launched a digital twin platform for personalized cardiovascular care, integrating patient-specific imaging and AI to simulate heart function and improve treatment planning. Early adoption demonstrates enhanced patient outcomes and operational efficiency.​

✅ June 2025: NeuralCure AI introduced the first Diagnostic & Digital Twin Operating System for preventative care clinics, combining patient lab data, imaging, wearables, and AI to predict health outcomes. This empowers clinicians with real-time models for scalable preventive care.​

✅ February 2025: HEALWELL AI's VeroSource unveiled Digital Twin functionality on its VS Data-as-a-Service Platform, providing real-time views of healthcare facility operations. The technology integrates data for better facility management, staff workflows, and resource utilization.​

Germany: Key Industry Developments
✅ October 2025: Siemens Healthineers partnered with Mayo Clinic to advance AI-enhanced digital twins for cardiovascular care through real-time health records and imaging simulations. This collaboration focuses on predicting patient-specific heart complications and responses.

Recent Merges & acquisition
→ Teladoc Health acquired virtual mental health provider UpLift for $30 million cash plus up to $15 million in earnouts (2025), enhancing therapy, psychiatry, and medication management services.​

→ Lyra Health acquired Bend Health (2025), adding pediatric mental health expertise and expanding virtual outpatient care.​

→ CitiusTech acquired Health Data Movers (2025), a firm specializing in Epic Systems, Workday, and ServiceNow to integrate AI and analytics into clinical workflows.​

→ TeleMed2U acquired SIGMA Tactical Wellness (2025), expanding virtual specialty care for high-risk populations like law enforcement

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.

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Market Segmentation-
→ The software segment from the product type is expected to hold 77.5% of the digital twins in the healthcare market.

Segmentation by Type
→ Process Twin: This segment involves virtual replicas of healthcare processes and workflows, enabling simulations for optimization, efficiency improvements, and better patient outcomes through real-time data analysis. It is the dominant type segment with the highest market share currently and expected to remain so through 2035.​

→ Patient Twin: This covers digital representations of individual patients, used for personalized monitoring, predictive analytics, and tailored treatment planning based on real-time health data.​

→ System Twin: This segment focuses on virtual models of integrated healthcare systems, such as hospital operations or device networks, to enhance overall system performance and predictive maintenance.​

→ Equipment Twin: These are digital replicas of medical devices and assets for monitoring condition, predicting failures, and optimizing usage in clinical settings.​

→ Whole-Body Twin: This represents comprehensive virtual models of the entire human body, integrating multi-organ data for advanced simulations in research and treatment.​

Segmentation by Application
→ Personalized Medicine: This application uses digital twins to simulate patient-specific responses to treatments based on genetic, clinical, and lifestyle data, driving customized therapies. It is expected to hold the largest share at 32.62% in 2025, fueled by demand for precision healthcare.​

→ Healthcare Workflow Optimization & Asset Management: Involves twins for streamlining operations, predictive maintenance, and resource allocation in hospitals, currently capturing about 32% of the market.​

→ Drug Discovery & Development: Digital twins accelerate R&D by modeling drug interactions and trial outcomes virtually, reducing time and costs.​

→ Medical Device Design and Testing: Enables virtual prototyping and testing of devices for safety and efficacy before physical production.​

→ Surgical Planning and Medical Education: Supports preoperative simulations and training through realistic virtual scenarios.

Regional insights:-

→ North America dominated the global digital twins in healthcare market with the highest share of 56.81%.

North America is projected to maintain a dominant position in the global digital twins in the healthcare market, driven by significant product launches, advanced technological infrastructure, and large investments in the digitization of healthcare. Advanced AI and ML capabilities aid in the adoption of digital twin technology in personalized medicine, predictive analytics, and real-time patient monitoring.

Increased government initiatives promoting digital healthcare, rising adoption of EHR applications, and growing demand for precision medicine are other growth factors driving the market. Innovators are actively involved in developing advanced digital twins for a plethora of applications.

For instance, in May 2024, Ontrak Inc., a leading AI-powered healthcare company, 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.

Moreover, in February 2024, Unlearn, an AI company, 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.

→ Asia-Pacific is the global digital twins in healthcare market with a market share of 12.42% in 2024

The digital twins market in the Asia-Pacific region is rapidly evolving, particularly in the healthcare sector, where the technology is driving significant advancements in personalized medicine, patient monitoring, and treatment optimization.

With increasing healthcare demands and the adoption of advanced technologies, digital twins are providing healthcare professionals with valuable tools to enhance patient care, streamline operations, and improve outcomes.

The use of digital twin technology in healthcare is still in its early stages, but is expected to grow substantially as it becomes more integrated into clinical practices and research. Through partnerships and collaborations, the companies are developing solutions to transform and help healthcare.

For instance, in November 2024, Fujitsu developed a digital twin solution called Policy Twin, which uses machine learning and generative AI to simulate the social impact of local government healthcare policies. The product identifies measures to reduce costs and improve preventive healthcare outcomes. Field tests have shown that it can identify policy candidates that double cost savings and health improvements.

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Competitive Landscape
→ The major global players in the digital twins in healthcare market include Dassault Systèmes, Brainlab AG Twin Health, Virtonomy GmbH, Predisurge, GE Healthcare, Owkin, Inc., Ontrak Health, Decision Lab Ltd., and Altis Labs, Inc., among others.

Key Developments
→ In February 2025, Dassault Systèmes enters the next phase of its living heart project with AI-powered virtual twins. The company announced the beta test at its 3DEXPERIENCE World event in Houston and explored expanding virtual twin applications to other organs to address a wider range of medical challenges.

→ In February 2025, HEALWELL AI Inc. announced that its subsidiary, VeroSource Solutions Inc., unveiled new Digital Twin functionality on its proprietary VS Data-as-a-Service Platform. With the ability to provide a comprehensive, real-time view of healthcare facility operations, the new Digital Twin technology is transforming the way facility managers and decision-makers approach the complexities of healthcare environments.

→ In September 2024, Proprio announced that its innovative surgical guidance platform, Paradigm, reached a significant milestone with 50 successful surgeries completed. The Proprio Paradigm platform is a new sensing modality aiding surgeons in the operating room while recording data to fuel a breakthrough digital twin capability - essentially modeling the potential results of key decisions.

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