2026 Edition: Current Status and Future Prospects of Medical Digital Twins

Description

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Product ID: 1119

Publisher: Seed Planning

Publication Date: 2026-07-09

English Summary

This report organizes the medical digital twin market into three layers: clinical implementation, research and development/regulatory compliance, and data infrastructure/ecosystem. It analyzes promising areas such as cardiology, preoperative planning, blood flow analysis, medical device evaluation, and in silico trials, which are advancing in market formation. The report also outlines the conditions necessary for commercialization, institutionalization, and monetization, providing insights for medical device manufacturers, pharmaceutical companies, healthcare IT/AI firms, CROs, and data infrastructure companies.

Contents / Coverage

• Chapter 0: Executive Summary
• 0.1: Current Status of the Medical Digital Twin Market
• 0.2: Key Issues in Market Formation
• 0.3: Promising Areas and Conditions for Establishment
• 0.4: Future Market Developments
• Chapter 1: Definition of the Medical Digital Twin Market – Structure and Analytical Framework
• 1.1: What is a Medical Digital Twin?
• 1.2: Conceptual Organization and Understanding of Medical Digital Twins
• Column: Basic Structure of Models Supporting Medical Digital Twins
• 1.3: Three-Layer Structure of Medical Digital Twins
• 1.4: Analytical Approach of This Report
• 1.5: Analysis Process of This Report
• 1.6: Summary of Chapter 1: Basic Structure of the Medical Digital Twin Market
• Chapter 1: References
• Chapter 2: Analysis of Research and Technology Trends – Current Status of Medical Digital Twins
• 2.1: Evaluation Framework for Medical Digital Twins (Standards in This Report)
• 2.2: Overview of Screening Results
• 2.3: Functional Classification and Status of Medical Digital Twin Research
• 2.4: Research Structure for Organ and Partial Models
• 2.5: Data Structure and Update Methods in Model Construction
• 2.6: Summary of Chapter 2: Current Status from Research Review
• Chapter 2: References
• Chapter 3: Application and Implementation Trends – Transition from Research to Social Implementation
• 3.1: Purpose and Perspective of This Chapter
• 3.2: Application Trends in Research Papers
• 3.3: Expected Areas in Review Papers
• 3.4: Current Status and Examples of Social Implementation of Medical Digital Twins
• 3.5: Summary of Chapter 3: Structure Revealed through Research, Expectations, and Implementation
• Chapter 3: References
• Chapter 4: Actual Market Formation ① – Clinical Implementation DT and Key Players
• 4.1: Perspective of This Chapter: How Clinical Implementation Digital Twins are Established
• 4.2: HeartFlow (FFRct Analysis)
• 4.3: FEops (FEops HEARTguide™)
• 4.4: Sim&Cure (Sim&Size)
• 4.5: inHEART (inHEART SOLUTION / MODELS)
• 4.6: Stryker (Blueprint)
• 4.7: Fluidda (Broncholab)
• 4.8: RaySearch Laboratories (RayStation)
• 4.9: Siemens Healthineers (Digital Twin of the Heart)
• 4.10: Summary of Chapter 4: Structure of Clinical Implementation Digital Twin
• Chapter 4: References
• Chapter 5: Actual Market Formation ② – Research and Development/Regulatory Compliance DT and Key Players
• 5.1: Perspective of This Chapter: How Research and Development/Regulatory Compliance Digital Twins are Marketed
• 5.2: Dassault Systèmes (Living Heart Project / 3DEXPERIENCE)
• 5.3: Virtonomy GmbH (v-Patients)
• 5.4: InSilicoTrials (InSilicoTrials Platform)
• 5.5: Unlearn.ai (TrialPioneer / DTG / TwinRCTs)
• 5.6: Certara (Simcyp® etc.)
• 5.7: Concr Ltd (FarrSight® / FarrSight-Twin)
• 5.8: Medtronic (Virtual Patient Cohort / SmartGuard)
• 5.9: Summary of Chapter 5: Market Formation Structure of Research and Development/Regulatory Compliance Digital Twin
• Chapter 5: References
• Chapter 6: Organization of Implementation Areas and Market Formation Conditions – Implementation Areas and Development Directions
• 6.1: Maturity Status by Implementation Area
• 6.2: Progress of Implementation by Area
• 6.3: External Conditions Surrounding Medical Digital Twins
• 6.4: Summary of Chapter 6: Development Directions and Formation Conditions
• Chapter 6: References
• Chapter 7: Formation Structure of the Medical Digital Twin Market and Business Opportunities – Market Evolution and Competitive Environment
• 7.1: Perspective of This Chapter
• 7.2: Macro Environment Analysis (PEST)
• 7.3: Industry Structure Analysis (5 Forces)
• 7.4: Market Maturity Stage (Product Life Cycle)
• 7.5: Conditions Defining Market Formation
• 7.6: Direction of Market Opportunities
• 7.7: Understanding Market Formation Degree through Quantitative Indicators
• 7.8: Business Ecosystem for Commercializing Medical Digital Twins
• 7.9: Business Opportunities and Insights by Target
• 7.10: Summary of Chapter 7: Market Formation Structure and Future Directions
• Chapter 7: References
• Special Feature: Social Implementation of Medical Digital Twins in National Cerebral and Cardiovascular Center – From Patient-Specific Models to Treatment Support and Commercialization
• 1. Interview with Mr. Koji Shiraishi: Patient-Specific 3D Heart Models and Preoperative Simulation – Clinical Implementation and Institutional Connection in Complex Congenital Heart Disease
• 2. Interview with Mr. Keita Saku: Cardiovascular Bio-Digital Twin and Hemodynamic Models – Challenges for Automation and Social Implementation in Acute Care
• 3. Summary: Insights from National Cerebral and Cardiovascular Center Cases

Why This May Matter Internationally

The medical digital twin technology is gaining attention as a foundation for next-generation healthcare, driven by personalized medicine, AI medical devices, real-world data utilization, in silico trials, and healthcare digital transformation. Understanding its market dynamics is crucial for stakeholders globally.

Keywords: Japan,market research,Seed Planning,healthcare