Healthcare Digital Twins Market 2030 Growing Worldwide By Best Key players- Atos; Dassault Systems (3DS System); Microsoft; Philips Healthcare; Unlearn.AI, Inc.; QiO Technologies; PrediSurge; Verto Healthcare; ThoughWire; Fasttream Technologies; Twin Health

 


The global healthcare digital twins market size is expected to reach USD 3.5 billion by 2030, according to a new report by Grand View Research, Inc. The market is expected to expand at a CAGR of 25.6% from 2022 to 2030. Digital twins are digital models or real-time replicas of an object or process that incorporates and updates all the available data in real time.

The technology is used in healthcare to test the safety and economic viability of a scenario before it is launched into the real world. The adoption of digital twins in the healthcare industry is still in a nascent stage but scientists are adopting the technology to test viability of surgical procedures and develop personalized medicine. These are some of the key factors anticipated to fuel the market growth during the forecast period. For instance, digital twins are used in healthcare to study diseases such as multiple sclerosis and Alzheimer’s to better understand the treatment options and accelerate clinical trial timelines.

Rising adoption of artificial intelligence in healthcare is anticipated to further drive the adoption of the technology. Integration of components such as APIs, graph databases, and natural language processing (NLP) to craft digital twins for healthcare and other life science organizations helps to reduce medical costs and enhance medical outcomes. Digital twins help to transform the industry by offering data backed feedback, data capturing, and data interventions, which are anticipated to considerably reduce the healthcare costs.

Emergence of startups and entry of key players in the market are anticipated to significantly boost the growth of the market. For instance, Sim&Cure, a France-based company, provides Sim&Size, a digital twin solution that helps brain surgeons to treat an aneurysm using simulations. Aneurysms are enlarged vessels that can cause stroke and clots in the brain. Moreover, increased funding provided to the startups is anticipated to promote the adoption of the technology during the forecast period. For instance, in October 2021, Twin Health, a California and Chennai-based startup, raised USD 140 million in a Series C funding round. The startup is an AI-powered platform that provides doctors and patients the guidance on sleep activity, nutrition, and meditative breathing that helps to reverse and prevent chronic conditions such as liver diseases, Type-II diabetes, and cardiovascular diseases.

In addition, various government initiatives to improve the adoption of digital twins are anticipated to drive the demand for the technology. For instance, DigiTwins, a flagship project launched by European Government aims to bring paradigm shifts in the healthcare industry using communication, advanced omics, sensing technologies, and computing. The European government plans to invest USD 1.1 billion in the project over 10 years to support the growth and development.

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Digital twins are used in healthcare to build digital representations of healthcare data such as lab results, hospital environment, and human physiology. The representations help to optimize costs, improve efficiency, and anticipate future demand. These are some of the key factors that are anticipated to drive the demand for the technology during the forecast period. Digital twins help in the transformation of the healthcare industry by adopting a real time interactive and integrated approach for data capturing, effective interventions, and offering real time data backed feedback. Rising adoption of medical records, sensors, mobile applications, and wearables in the healthcare industry to monitor patient data is anticipated to drive the demand for this technology. The data generated from these applications can be used to develop simulations to test drugs and medical devices. Despite the varied applications of digital twins, the adoption of the technology in the healthcare sector is still in a nascent stage.

Healthcare Digital Twins Market Report Highlights

  • In 2021, the process and system digital twin segment held the largest share of over 65.0% due to the ability of the technology to provide better outcomes
  • In 2021, the asset and process management segment dominated the market with a share of over 35.0% owing to the rising adoption by healthcare facilities in order to manage their assets efficiently
  • In 2021, hospitals and clinics dominated the market with a share of over 30.0% due to the use of digital twins to optimize hospital working and increase efficiency of the facility
  • In 2021, North America held the largest share of over 45.0%. Factors such as favorable government initiatives, lucrative funding, and presence of key players in the region contributed to the growth of the market

Rising adoption of this technology in the healthcare sector and the positive approach of the healthcare professionals towards the adoption of the technology are anticipated to drive the market. For instance, according to an article by AI Multiple, dated May 2022, 66% of the healthcare professionals expect increasing investments in digital twins, the adoption of which helps to improve the performance of healthcare organizations, facilitate personalization of medicine, provide customizations, and enable the development of new devices and medications. The technology has a tremendous opportunity for the development of personalized medicine based on the genetic makeup, behavior, and anatomy of an individual. For instance, Swedish researchers have been mapping mice RNA into various digital twin models with the aim to personalize the diagnosis and treatment of arthritis in humans.

Rising number of security breaches in healthcare institutions and high investments required to support the infrastructure of the technology are some of the restraining factors for the market. For instance, according to an article by Consulting Engineer, the cost of a digital twin for a Grade A commercial building of about 60,000 sq. m. can cost USD 1.2 to 1.7 million, and the costs rise to USD 3 to 4.2 million for complex and larger facilities measuring 200,000 sq.m. This is anticipated to hamper the growth of the market during the forecast period.

 

The COVID-19 pandemic had a positive impact on the market growth. Digital twins have been adopted by healthcare facilities after the pandemic in order to optimize workflows and predict the efficiency of the facilities to deal with the increased patient inflow which was observed during the pandemic. Pharmaceutical companies leveraged the technology to develop vaccines in order to keep up with the increased demand. The digital twins were used to develop live replicas of the physical processes in the vaccine process to improve the efficiency of the processes.

List of Key Players of Healthcare Digital Twins Market

  • Atos
  • Dassault Systems (3DS System)
  • Microsoft
  • Philips Healthcare
  • QiO Technologies
  • PrediSurge
  • Unlearn.AI, Inc.
  • Verto Healthcare
  • ThoughWire
  • Fasttream Technologies
  • Twin Health

 

 

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