DELRAY BEACH, Fla., April 22, 2026 /PRNewswire/ — According to MarketsandMarkets™, the Digital Twins in Healthcare Market is projected to grow from about USD 7.47 billion in 2026 to USD 101.19 billion by 2031, at a CAGR of 68.4%.

Browse through 110 market data tables and 40 figures spread across 180 pages and the in-depth TOC on the “Digital Twins in Healthcare Market – Global Forecast to 2031”

Digital Twins in Healthcare Market Size & Forecast:

Market Size Available for Years: 2025–20312026 Market Size: USD 7.47 billion2031 Projected Market Size: USD 101.19 billionCAGR (2026–2031): 68.4%

Digital Twins in Healthcare Market Trends & Insights:

By type, the body part twins segment is projected to register the fastest growth of 69.0% in the global digital twins in healthcare market.In 2025, by component, the software segment accounted for the largest share of 58.1% of the digital twins in healthcare market.By region, North America accounted for the largest share of 48.2% of the global digital twins in healthcare market in 2025.

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The market is growing at a remarkable pace, mainly due to increased investments, technological innovations, and rising acceptance in clinical research and healthcare provision. Digital twins represent simulated models of patients, organs, and other aspects of the healthcare system as technologies advance into predictive and data-driven healthcare delivery. Thousands of clinical studies currently registered on ClinicalTrials.gov show that there is an emerging interest in developing advanced techniques involving the use of virtual simulations and modeling for efficient trial processes. Moreover, the rise in investment activities further promotes innovation within the industry. For instance, Twin Health (US), which utilizes digital twin technology to create personalized metabolic health products, made headlines when it raised another USD 50 million after its earlier USD 140 million Series C fundraising. The firm seeks to develop and scale up its digital twin platform, which combines AI technology and simulation in providing healthcare services. Moreover, regulatory agencies, including the FDA in the United States, are encouraging computational modeling and simulations in order to increase or decrease the number of traditional clinical trials conducted. With healthcare organizations relying more and more on real-time data collected through wearables, imaging technology and electronic health records, digital twins are contributing towards better predictions of illness progression and therapeutic effects.

By type, the body part twins segment is expected to register the fastest growth in the digital twins in healthcare market during the forecast period.

the market for digital twins in healthcare has been divided into process twins, system twins, whole body twins, and body part twins, with the body part twins segment expected to witness the highest growth rate in the forecast period. Such a tendency can be explained by an increasing number of cases when digital models for certain organs are applied in clinical practice. Unlike whole-body digital models, organ models are much simpler and thus easier to implement in medical practice and to validate. They can be used for personalized medicine applications to help plan treatment, simulate surgery and assess how diseases progress. Moreover, recent developments prove that such a trend is likely to become even stronger. Namely, there has been an example when digital twin models of certain organs, such as the esophagus and heart, have been used in hospitals to simulate the results of surgical intervention. In addition, a wider application of AI, IoT, and real-time data in medicine means that the development of organ models becomes faster and more efficient than the development of whole-body models.

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By end user, the healthcare providers segment accounted for the largest share of the digital twins in healthcare market.

the digital twins in healthcare market is segmented into pharma & biopharma companies, research & academia, healthcare providers, medical device companies, and other end users (payers, diagnostic labs, patients, and CROs). Healthcare providers accounted for the largest share of the digital twins in healthcare market in 2025. This high growth is attributed to the improved diagnostic ability in hospitals, increased adoption of telemedicine & telehealth in the healthcare industry and increasing digital twin adoption in the healthcare industry. Also, digital twins will help to plan and design hospitals by modeling different floor plans, layout plans, and workflows.

North America registered the largest share in the global digital twins in healthcare market in 2025.

The region’s leadership in this area is mainly characterized by the prevalence of the adoption of advanced digital technologies, well-developed infrastructure for healthcare information technology, and active involvement in clinical research. The leading country here is the US due to increased adoption of AI technologies, real-world data, and simulation in both clinical practice and research. Besides, the contribution to the spread of digital twins has been made by the US Food and Drug Administration, which promotes the use of modeling and simulation technologies in drug development. Another reason why the US occupies the leading position in terms of adoption of digital twin technologies is that there are many reputable healthcare organizations and clinics, such as Mayo Clinic and Massachusetts General Hospital, conducting clinical studies focused on the application of AI and data analysis for personalized medicine. Finally, digital twin solutions have become more advanced thanks to technology developers such as Microsoft Corporation and GE HealthCare, who develop digital twin technology based on cloud technology and advanced imaging systems.

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Top Companies in Digital Twins in Healthcare Market:

The Top Companies in Digital Twins in Healthcare Market include Microsoft Corporation (US), Siemens Healthineers AG (Germany), Koninklijke Philips N.V. (Netherlands), Amazon Web Services, Inc. (US), Dassault Systèmes (France), GE Healthcare (US), IBM (US), NVIDIA Corporation (US), Oracle Corporation (US), PTC (US), SAP (Germany), Atos SE (France), ANSYS, Inc. (US), Faststream Technologies (US), Rescale, Inc. (US), Twin Health (US), NUREA (France), Predictiv (US), Verto (Canada), Qbio (US), Virtonomy GmbH (Germany), Unlearn.ai, Inc. (US), ThoughtWire (Canada), Sim and Cure (France), and PrediSurge (France).

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TUSTIN, Calif., April 22, 2026 /PRNewswire/ — Summit Fire & Security LLC, a subsidiary of SFP Holding, Inc. (Summit Companies) and a leading provider of end-to-end fire protection and life safety services, is proud to announce the opening of a new branch office in Orange County, California. This expansion strengthens the company’s presence in California and reinforces its commitment to delivering responsive, high-quality service to customers across the region.

The new Orange County office will provide comprehensive fire and life safety solutions, including inspection, maintenance, monitoring, and installation of fire alarm, sprinkler, and security systems. The location also supports marine fire protection services that meet international marine codes and vessel-specific requirements.

“We’re excited to open our new branch in Southern California,” said Brian Hoerner, Regional Vice President at Summit Fire & Security. “This expansion allows us to deliver a full suite of fire and life safety services to the Orange County market while also creating strong career opportunities for industry professionals.”

Strategically located to serve the greater Los Angeles area, the new branch enables Summit Fire & Security to build strong local partnerships and deliver tailored solutions to a diverse range of industries, including commercial, industrial, healthcare, education, and multi-family residential.

This expansion reflects Summit Fire & Security’s continued investment in regional growth, operational excellence, and customer-focused service—ensuring clients have a trusted partner for all their fire and life safety needs.

About Summit Fire & Security
Summit Fire & Security provides superior service to local and regional customers with a comprehensive suite of fire protection, security, and life safety solutions. For more information about Summit Fire & Security and its services, visit www.SummitFireSecurity.com.

Media Contact:
Kate Lee
VP of Marketing and Communications
Summit Fire & Security
KLee@SummitCompanies.com
651-288-0681 

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SOURCE Summit Fire & Security

Significant enhancements deliver critical fire intelligence in the wildland-urban interface, helping utilities and emergency agencies protect lives and infrastructure

LA JOLLA, Calif., April 22, 2026 /PRNewswire/ — Technosylva, the global leader in wildfire and extreme weather science and technology, today launched major enhancements to its urban conflagration model that predicts how fires spread through populated areas and quantifies risk to buildings. The model addresses a key limitation of traditional wildfire science: much of it has focused on wildland areas, classifying urban areas as “non-burnable.” This limitation slows fire simulations at the community boundary, leaving fire agencies, utilities, and insurers with limited forward visibility into how fire will behave in populated communities.

Technosylva’s capabilities provide two notable wildfire modeling enhancements. First, the urban conflagration model simulates how fires will behave in the wildland urban interface (WUI), where characteristics such as structure density, vegetation encroachment, and fuel types result in fundamental differences compared to wildland fires. Second, the Dynamic Building Loss Factor provides unprecedented insight into the vulnerability of structures. This information enables utilities and agencies to undertake appropriate mitigations, such as asset hardening, undergrounding lines, vegetation management, and community education and engagement.

“Recent devastating fires have made one thing clear: populated areas face disproportionate impacts—and require greater focus to protect them,” said Bryan Spear, CEO of Technosylva. “Traditional wildfire models were designed for wildland fuels and fire behavior. Our approach builds on that foundation by showing how fires actually move through communities. By more accurately modeling the risks and consequences, utilities and fire agencies can make smarter, risk-based decisions to mitigate wildfire risks, communicate threats, maintain power, and better protect the communities they serve.”

According to a 2023 article in the Proceedings of the National Academy of Sciences [1], “community fire destruction has become a national crisis.” Recent disasters in Lahaina, Gatlinburg, and Marshall show why. Many communities aren’t built to withstand ignition, and once a structure catches fire, it can quickly spread flames and embers to neighboring buildings. The result is fast-moving, large-scale destruction with lasting impacts on entire communities.

Key Technology Advances Addressing Critical Industry Needs

Technosylva’s unique model was trained on a comprehensive database of WUI fires, examining environmental conditions, weather patterns, and fuel characteristics to understand the drivers of urban conflagration. One of the primary challenges in modeling fire behavior in the built environment is a limited number of historical fires upon which to draw conclusions and build scalable models. Technosylva’s modeling approach has overcome these challenges, effectively capturing the complex interactions between wildfire and the built environment.

Notable enhancements to Technosylva’s modeling approach include:

WUI Fuel Mapping: Development of 12 unique WUI fuel types that more accurately reflect the manner in which the infrastructure in the built environment becomes a fuel source for the fire. This is critical for understanding how the characteristics of the built environment impact the rate of spread, intensity, and speed of fires in the WUI.Dynamic Building Loss Factor: Machine learning models to capture expected building loss, leveraging characteristics such as structure characteristics and building age that drive vulnerability. Combined with assessments of topography, vegetation, and other building properties such as density and proximity to roads, this intelligence identifies not just whether a community is threatened, but the types of structures and conditions that result in the highest risk.Characterization of Fire Behavior Under Extreme Conditions: Calibrated to accurately reflect urban encroachment and fire spread rates in WUI environments—particularly during the most extreme events. Capturing fires that have historically been labeled as “outliers” is critical for utilities and communities to understand and prepare for potential worst-case scenarios.High-Resolution Weather Integration: Captures localized wind patterns, humidity gradients, and temperature variations at a scale matched to “neighborhood-level” fire behavior.

Large-scale urban fires were once rare, but in recent years their frequency and severity has increased dramatically. When wildfires reach communities, the “fuel” is no longer just vegetation—it’s homes and businesses. In Lahaina alone, a single urban conflagration caused an estimated $4 to $6 billion in economic losses. The consequences can be devastating for both life and property. Technosylva’s modeling has evolved to capture how fires spread through the built environment, enabling utilities and agencies to make more informed, risk-based decisions.

[1] https://www.fs.usda.gov/rm/pubs_journals/2023/rmrs_2023_calkin_d001.pdf

About Technosylva
Technosylva is the leading provider of wildfire and extreme weather modeling, risk mitigation, and operational response software. Technosylva’s market-leading solutions, enhanced by AI and machine learning capabilities, provide real-time and predictive insights into developing wildfire and extreme weather risks to support electric utility, insurance, and government agency customers. Founded in 1997, Technosylva has offices in La Jolla, CA, León, Spain, and Calgary, Canada. Learn more at www.Technosylva.com.

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Mahoney Communications Group
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