Jan 4, 2023

This report features an extensive study of the current landscape, offering an informed opinion on the likely adoption of digital twins in the healthcare domain, till 2035. The report features an in-depth analysis, highlighting the capabilities of various stakeholders engaged in this market space. The research and development behind a new drug is reported to require, on an average, an investment of nearly USD 1 billion. At present, over 90% of the drug candidates fail across different stages of clinical trials, leading to significant financial losses for developers. In recent years, with the introduction of industry 4.0 technologies, such as augmented reality, big data, internet of things (IoT) and virtual reality, the digital twins technology has emerged as a promising approach to mitigate a number of the aforementioned healthcare related concerns. Digital Twins refer to the virtual model of a physical object, process or service; such models are able to replicate real-life processes in order to collect real-time data to predict their performance. Further, digital twins have been shown to pace up the clinical trials and simulate studies for a larger population, in much quicker timelines. I n fact, a group of researchers engaged in the classification of drug risks using digital twins claim that an extended version of the model could help save up to USD 2.5 billion spent on design and testing new drugs. Several digital twins have been found to be reliable in the diagnosis / treatment of various diseases and are, hence, expected to reduce the excessive cost spent on false medical diagnosis. It is worth mentioning that, on an annual basis, medical errors are expected to lead to a loss of nearly USD 20 billion in the US. Therefore, digital twins are believed to have the potential to enable significant cost savings. As a result, about 15% of organizations that implement IoT projects have already started using digital twin platforms, while over 60% of the firms are either planning or in the process of establishing digital twin technologies in their processes, in the near future. Digital twin technology companies are currently engaged in the development of products which are intended for numerous applications, such as asset / process management, personalized treatment and surgical planning. Additionally, as mentioned earlier, a number of digital twin platforms have been found reliable in several healthcare applications, such as diagnosis, health monitoring and medical training. The growing interest in this market can also be validated from that fact that, in the last two years, close to USD 6 billion has been invested by several investors based across the globe, in companies engaged in the development or those offering digital twins. Interestingly, the partnership activity in the industry has also witnessed a growth rate of over 15%, in the past three years. It is also important to note that, over the past few years, there have been a significant innovation in this market space. For instance, in September 2022, European Medicines Agency (EMA) released a favorable qualification opinion for TwinRCTT solution, for implementation in AI-generated prognostic digital twins being evaluated in phase II and phase III clinical trials. Considering the continuous innovation related to digital twins and a growing interest in automation and prognostic systems, we believe the digital twin market size is likely to evolve at a rapid pace, over the coming years. Frequently Asked Questions What are digital twins? Who are the leading players engaged in the development of digital twins for the healthcare domain? Which type of digital twin is most commonly offered by developers engaged in this market space? What is the relative competitiveness of different players engaged in the digital twins domain? What is the likely valuation of start-ups involved in the development of digital twins for the healthcare sector? What is the present and likely future demand for digital twins in the overall healthcare sector? What are the anticipated future trends related to digital twins in the healthcare domain? How is the current and future opportunity likely to be distributed across key market segments? Key Topics Covered: 9.3.1. Analysis by Number of Funding Instances 9.3.2. Analysis by Amount Invested 9.3.3. Analysis by Type of Funding 9.3.4. Analysis by Geography 9.3.6. Most Active Players: Analysis by Amount of Funding 9.3.7. Most Active Investors: Analysis by Number of Funding Instances 9.4. Concluding Remarks 10.1. Chapter Overview 10.3. Berkus Start-Up Valuation: Total Valuation of Players 10.4. Digital Twins in Healthcare: Benchmarking of Berkus Start-Up Valuation Parameters 10.4.1. AnatoScope: Benchmarking of Berkus Start-Up Valuation Parameters 10.4.2. ExactCure: Benchmarking of Berkus Start-Up Valuation Parameters 10.4.3. Klinik Sankt Moritz: Benchmarking of Berkus Start-Up Valuation Parameters 10.4.4. KYDEA: Benchmarking of Berkus Start-Up Valuation Parameters 10.4.5. TwInsight: Benchmarking of Berkus Start-Up Valuation Parameters 10.4.6. Yokogawa Insilico Biotechnology: Benchmarking of Berkus Start-Up Valuation Parameters 10.5. Digital Twins in Healthcare: Benchmarking of Players 10.5.1. Sound Idea: Benchmarking of Players 10.5.2. Prototype: Benchmarking of Players 10.5.3. Management Experience: Benchmarking of Players 10.5.4. Strategic Relationships: Benchmarking of Players 10.5.5. Total Valuation: Benchmarking of Players 11. MARKET FORECAST 11.3. Global Digital Twins Market, 2022-2035 11.3.1. Global Digital Twins Market: Analysis by Therapeutic Area 11.3.1.1. Global Digital Twins Market for Cardiovascular Disorders, 2022-2035 11.3.1.2. Global Digital Twins Market for Metabolic Disorders, 2022-2035 11.3.1.3. Global Digital Twins Market for Orthopedic Disorders, 2022-2035 11.3.1.4. Global Digital Twins Market for Other Disorders, 2022-2035 11.3.2. Global Digital Twins Market: Analysis by Type of Digital Twins 11.3.2.1. Global Process Twins Market, 2022-2035 11.3.2.2. Global System Twins Market, 2022-2035 11.3.2.3. Global Whole Body Twins Market, 2022-2035 11.3.2.4. Global Body Part Twins Market, 2022-2035 11.3.3. Global Digital Twins Market: Analysis by Area of Application 11.3.3.1. Global Digital Twins Market for Asset / Process Management, 2022-2035 11.3.3.2. Global Digital Twins Market for Personalized Treatment, 2022-2035 11.3.3.3. Global Digital Twins Market for Surgical Planning, 2022-2035 11.3.3.4. Global Digital Twins Market for Diagnosis, 2022-2035 11.3.3.5. Global Digital Twins Market for Other Applications, 2022-2035 11.3.4. Global Digital Twins Market: Analysis by End Users 11.3.4.1. Global Digital Twins Market for Pharmaceutical Companies, 2022-2035 11.3.4.2. Global Digital Twins Market for Medical Device Manufacturers, 2022-2035 11.3.4.3. Global Digital Twins Market for Healthcare Providers, 2022-2035 11.3.4.4. Global Digital Twins Market for Patients, 2022-2035 11.3.4.5. Global Digital Twins Market for Other End Users, 2022-2035 11.3.5. Global Digital Twins Market: Analysis by Geography 11.3.5.1. Digital Twins Market in North America, 2022-2035 11.3.5.2. Digital Twins Market in Europe, 2022-2035 11.3.5.3. Digital Twins Market in Asia, 2022-2035 11.3.5.4. Digital Twins Market in Latin America, 2022-2035 11.3.5.5. Digital Twins Market in Middle East and North Africa, 2022-2035 11.3.5.6. Digital Twins Market in Rest of the World, 2022-2035 12. CONCLUSION