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헬스케어 분야 디지털 트윈 시장 : 컴포넌트별, 유형별, 용도별, 최종사용자별, 지역별 - 예측(-2030년)

Digital Twins in Healthcare Market by Component (Software, Services), Application (Personalized Medicine, Drug Discovery, Medical Education, Workflow Optimization), End User (Providers, Research & Academia, Payers), and Region - Global Forecast to 2030
발행일: | 리서치사: MarketsandMarkets | 페이지 정보: 영문 255 Pages | 배송안내 : 즉시배송

    
    
    




※ 본 상품은 영문 자료로 한글과 영문 목차에 불일치하는 내용이 있을 경우 영문을 우선합니다. 정확한 검토를 위해 영문 목차를 참고해주시기 바랍니다.

세계 헬스케어 분야 디지털 트윈 시장 규모는 헬스케어 분야에서의 디지털 트윈 활용 확대와 공공 및 민간 기업의 투자 확대에 힘입어 2024년 큰 폭의 성장을 이룬 것으로 추정됩니다.

예측 기간 동안 68.0%의 연평균 복합 성장률(CAGR)로 2025년 44억 7,000만 달러에서 2030년 599억 4,000만 달러에 달할 것으로 예측됩니다. 공공 기관과 민간 기업들은 혁신을 촉진하고 업무 효율성을 향상시킬 수 있는 잠재력을 인식하고 디지털 트윈 기술에 대한 투자를 늘리고 있습니다. 발렌시아에 본사를 둔 Quibim은 정밀의료에 이미지 바이오마커를 활용하는 데 앞장서고 있습니다. Quibim은 최근 미국 진출을 위해 5,060만 달러의 시리즈 A 펀딩을 완료했으며, Quibim은 이를 통해 건강 모니터링, 환자 계층화 개선, 의약품 개발 성공률 향상, 사전 치료 테스트 용이성, 인간의 디지털 트윈 다이내믹 모델을 만들기 위한 중요한 단계라고 보고 있습니다.

조사 범위
조사 대상 연도 2024-2030년
기준 연도 2024년
예측 기간 2024-2030년
검토 단위 금액(10억 달러)
부문 구성요소별, 유형별, 용도별, 최종사용자별, 지역별
대상 지역 북미, 유럽, 아시아태평양, 라틴아메리카, 중동 및 아프리카

2024년에는 수술 계획 및 의료 교육 용도 부문이 가장 큰 시장 점유율을 차지할 것으로 예측됩니다. 이 부문의 성장은 디지털 트윈과 가상현실 플랫폼의 통합으로 인해 레지던트의 수술 교육을 강화하는 데 기여하고 있습니다. 이 기술을 통해 환자의 해부학적, 생리적 특징에 맞춘 수술 시뮬레이션이 가능해졌습니다. 그 결과, 레지던트들은 실제와 같은 퍼포먼스를 경험하고 수술 중 지표를 추적할 수 있습니다. 여러 기업이 의료 해부학 및 수술 시뮬레이션을 개발하여 시신에 대한 의존도를 낮추고 대화형 학습을 촉진하고 있습니다.

최종 사용자별로는 의료 제공업체 부문이 2024년 시장에서 가장 큰 점유율을 차지했습니다. 이 부문의 성장은 워크플로우 관리 및 수술 계획에서 중요한 역할을 담당하고 있기 때문입니다. 디지털 트윈은 정확한 환자 모델링, 개인화된 치료 계획, 지속적인 모니터링과 같은 다른 이점을 제공합니다. 이러한 장점은 임상적 의사결정을 강화하고 환자 결과를 개선하는 데 기여합니다.

2024년 시장 점유율은 유럽이 2위를 차지했습니다. 헬스케어 발전에 영향을 미치는 요인으로는 기술 투자 증가와 연구 및 유전체학에 대한 디지털 트윈의 활용을 들 수 있습니다. 유럽혁신기술연구소(EIT) 건강 독일에 따르면, 유럽 국가들은 약물 처방을 개선하기 위해 디지털 트윈을 도입하고 있습니다. 예를 들어, 디지털 헬스 전문 기업인 프랑스의 ExactCure는 약물 부작용 예방에 주력하고 있습니다. 최첨단 오믹스, 센싱, 컴퓨팅, 통신 기술을 활용함으로써 디지털 트윈은 완전히 개인화된 예방 의료를 가능하게 하고, 헬스케어의 패러다임 전환을 목표로 하고 있습니다.

세계의 헬스케어 분야 디지털 트윈(Digital Twin) 시장에 대해 조사했으며, 컴포넌트별/유형별/용도별/최종사용자별/지역별 동향, 시장 진출기업 프로파일 등의 정보를 정리하여 전해드립니다.

목차

제1장 서론

제2장 조사 방법

제3장 주요 요약

제4장 프리미엄 인사이트

제5장 시장 개요

  • 서론
  • 시장 역학
  • 업계 동향
  • 기술 분석
  • Porter의 Five Forces 분석
  • 규제 상황
  • 밸류체인 분석
  • 생태계 분석
  • 특허 분석
  • 인접 시장 분석
  • 사례 연구 분석
  • 주요 이해관계자와 구입 기준
  • 2025-2026년 주요 컨퍼런스 및 이벤트
  • 구입자에게 영향을 미치는 동향/혼란

제6장 헬스케어 분야 디지털 트윈 시장(컴포넌트별)

  • 서론
  • 서비스
  • 소프트웨어

제7장 헬스케어 분야 디지털 트윈 시장(유형별)

  • 서론
  • 프로세스
  • 시스템
  • 전신
  • 신체 부위

제8장 헬스케어 분야 디지털 트윈 시장(용도별)

  • 서론
  • Drug Discovery & Development
  • 맞춤형 의료
  • 수술 계획 및 의학 교육
  • 의료기기 설계 및 시험
  • 헬스케어 워크플로우 최적화 및 자산 관리
  • 기타

제9장 헬스케어 분야 디지털 트윈 시장(최종사용자별)

  • 서론
  • 제약 및 바이오 제약 기업
  • 연구 및 학술
  • 의료 제공자
  • 의료기기 기업
  • 기타

제10장 헬스케어 분야 디지털 트윈 시장(지역별)

  • 서론
  • 북미
    • 북미의 거시경제 전망
    • 미국
    • 캐나다
  • 유럽
    • 유럽의 거시경제 전망
    • 독일
    • 영국
    • 프랑스
    • 이탈리아
    • 스페인
    • 기타
  • 아시아태평양
    • 아시아태평양의 거시경제 전망
    • 일본
    • 중국
    • 인도
    • 기타
  • 라틴아메리카
    • 라틴아메리카의 거시경제 전망
    • 브라질
    • 멕시코
    • 기타
  • 중동 및 아프리카
    • 중동 및 아프리카의 거시경제 전망
    • GCC 국가
    • 기타

제11장 경쟁 구도

  • 개요
  • 주요 시장 진출기업의 전략/강점
  • 매출 분석, 2020년-2024년
  • 시장 점유율 분석, 2024년
  • 기업 평가 매트릭스 : 주요 시장 진출기업, 2024년
  • 기업 평가 매트릭스 : 스타트업/중소기업, 2024년
  • 기업 평가와 재무 지표
  • 브랜드/소프트웨어 비교
  • 경쟁 시나리오

제12장 기업 개요

  • 주요 시장 진출기업
    • MICROSOFT CORPORATION
    • SIEMENS HEALTHINEERS AG
    • KONINKLIJKE PHILIPS N.V.
    • AMAZON WEB SERVICES, INC.
    • DASSAULT SYSTEMES
    • GE HEALTHCARE
    • ORACLE CORPORATION
    • IBM
    • PTC
    • SAP
    • ATOS SE
    • NVIDIA CORPORATION
    • ANSYS INC.
    • FASTSTREAM TECHNOLOGIES
    • RESCALE, INC.
  • 기타 기업
    • TWIN HEALTH
    • VERTO
    • QBIO
    • THOUGHTWIRE
    • SIM AND CURE
    • PREDICTIV
    • NUREA
    • UNLEARN.AI, INC.
    • VIRTONOMY GMBH
    • PREDISURGE

제13장 부록

LSH 25.05.28

The global digital twin healthcare market is experiencing significant growth in 2024, driven by the growing applications of digital twins in healthcare and growing investments by public & private entities. The market is projected to reach USD 59.94 billion by 2030 from USD 4.47 billion in 2025, at a CAGR of 68.0% during the forecast period. Public and private entities increasingly invest in digital twin technologies, recognizing their potential to drive innovation and enhance operational efficiency. Quibim, based in Valencia, is at the forefront of using imaging biomarkers for precision medicine. The company has recently completed a Series A funding round worth USD 50.6 million to establish a presence in the United States. Quibim views this as a significant step towards creating human digital twins-dynamic models that enable health monitoring and improve patient stratification, increase drug development success rates, and facilitate treatment testing before implementation.

Scope of the Report
Years Considered for the Study2024-2030
Base Year2024
Forecast Period2024-2030
Units ConsideredValue (USD billion)
SegmentsComponent, Type, Application, and End user.
Regions coveredNorth America, Europe, the Asia Pacific, Latin America, and the Middle East & Africa.

"By application, the surgical planning & medical education segment accounted for the largest share of the market in 2024."

In 2024, the surgical planning & medical education application segment accounted for the largest share of the market. The growth of this segment is due to the integration of digital twins with virtual reality platforms, which enhances surgical training for residents. This technology allows them to simulate procedures tailored to patients' unique anatomical and physiological characteristics. As a result, trainees can experience a realistic representation of performance and track intraoperative metrics. Several companies have developed simulations of medical anatomy and surgical procedures to reduce the reliance on cadavers and promote interactive learning.

"By end user, the healthcare providers segment accounted for the largest share of the market in 2024."

By end user, the healthcare providers segment accounted for the largest share of the market in 2024. The growth of this segment is attributed to its important role in workflow management and surgical planning. Digital twins offer additional benefits, such as accurate patient modeling, personalized treatment planning, and ongoing monitoring. These advantages contribute to enhanced clinical decision-making and improved patient outcomes.

"By region, Europe accounted for the second-largest market share in 2024."

Europe accounted for the second-largest share of the market in 2024. Factors influencing advancements in healthcare include increased technological investments and the use of digital twins for research and genomics. According to the European Institute of Innovation & Technology (EIT) Health Germany, European nations are implementing digital twins to improve medication prescriptions. For example, the French company ExactCure, which specializes in digital health, is focused on preventing adverse drug effects. By utilizing cutting-edge omics, sensing, computing, and communication technologies, DigiTwins aims to enable completely personalized and preventive medicine, leading to a paradigm shift in healthcare.

The breakdown of primary participants is as mentioned below:

  • By Company Type - Tier 1: 45%, Tier 2: 30%, and Tier 3: 25%
  • By Designation - C-level: 42%, Director-level: 31%, and Others: 27%
  • By Region - North America: 45%, Europe: 30%, Asia Pacific: 20%, Latin America: 3%, and Middle East & Africa: 2%.

Key Players in the Digital Twins in Healthcare Market

The key players operating in the digital twin in healthcare market include Microsoft Corporation (US), Siemens Healthineers AG (Germany), Koninklijke Philips N.V. (Netherlands), Amazon Web Services, Inc. (US), Dassault Systemes (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).

Research Coverage:

The report analyzes the Digital Twins in Healthcare Market. It aims to estimate the market size and future growth potential of various market segments based on type, component, application, end user, and region. The report also provides a competitive analysis of the key players in this market, along with their company profiles, product offerings, recent developments, and key market strategies.

Reasons to Buy the Report

This report will enrich established firms and new entrants/smaller firms to gauge the market's pulse, which, in turn, would help them garner a greater share of the market. Firms purchasing the report could use one or a combination of the following strategies to strengthen their positions in the market.

This report provides insights on:

  • Analysis of key drivers (increasing Investments in digital twins in developed as well as emerging technology adoption, rising demand for personalized medicine, increasing funding and investments in digital twin startups), restraints (accuracy and privacy issues with digital twin systems and high implementation costs), opportunities (growing importance of digital twin Iin emerging market, increasing focus on cutting edge real-time data analytics), and challenges (lack of technical expertise & data management issues) influencing the growth of the digital twin market
  • Product/Service Development & Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the digital twins in healthcare market
  • Market Development: Comprehensive information on the lucrative emerging markets by type, component, application, end user, and region
  • Market Diversification: Comprehensive information about product portfolios, expanding geographies, recent developments, and investments in the market
  • Competitive Assessment: In-depth assessment of market shares, growth strategies, product offerings, and capabilities of the leading players in the digital twins in healthcare market

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 STUDY OBJECTIVES
  • 1.2 MARKET DEFINITION
  • 1.3 MARKET SCOPE
    • 1.3.1 MARKETS & REGIONS COVERED
    • 1.3.2 INCLUSIONS & EXCLUSIONS
    • 1.3.3 YEARS CONSIDERED
    • 1.3.4 CURRENCY CONSIDERED
  • 1.4 MARKET STAKEHOLDERS

2 RESEARCH METHODOLOGY

  • 2.1 RESEARCH APPROACH
    • 2.1.1 SECONDARY RESEARCH
      • 2.1.1.1 Key data from secondary sources
    • 2.1.2 PRIMARY RESEARCH
      • 2.1.2.1 Key data from primary sources
      • 2.1.2.2 Breakdown of primaries
      • 2.1.2.3 Insights from primary experts
  • 2.2 MARKET SIZE ESTIMATION
  • 2.3 MARKET BREAKDOWN DATA TRIANGULATION
  • 2.4 STUDY ASSUMPTIONS
  • 2.5 RISK ASSESSMENT
  • 2.6 RESEARCH LIMITATIONS
    • 2.6.1 METHODOLOGY-RELATED LIMITATIONS
    • 2.6.2 SCOPE-RELATED LIMITATIONS

3 EXECUTIVE SUMMARY

4 PREMIUM INSIGHTS

  • 4.1 DIGITAL TWINS IN HEALTHCARE MARKET OVERVIEW
  • 4.2 NORTH AMERICA: DIGITAL TWINS IN HEALTHCARE MARKET, BY COMPONENT AND COUNTRY (2025)
  • 4.3 DIGITAL TWINS IN HEALTHCARE MARKET: COUNTRY MIX
  • 4.4 DIGITAL TWINS IN HEALTHCARE MARKET: REGIONAL MIX
  • 4.5 DIGITAL TWINS IN HEALTHCARE MARKET: DEVELOPED MARKETS VS. EMERGING ECONOMIES

5 MARKET OVERVIEW

  • 5.1 INTRODUCTION
  • 5.2 MARKET DYNAMICS
    • 5.2.1 MARKET DRIVERS
      • 5.2.1.1 Increasing investments by public and private entities
      • 5.2.1.2 Growing applications of digital twins
      • 5.2.1.3 Technological advancements
      • 5.2.1.4 Growing funding and investments in digital twin startups
    • 5.2.2 RESTRAINTS
      • 5.2.2.1 Managing data quality, privacy issues, and high implementation costs
    • 5.2.3 OPPORTUNITIES
      • 5.2.3.1 Increasing focus on cutting-edge real-time data analytics
      • 5.2.3.2 Growing importance of digital twins in emerging economies
    • 5.2.4 CHALLENGES
      • 5.2.4.1 Lack of skilled professionals
      • 5.2.4.2 Integration with existing systems and outdated digital infrastructure
  • 5.3 INDUSTRY TRENDS
    • 5.3.1 TRANSFORMATION IN CLINICAL TRIALS
    • 5.3.2 REVOLUTIONIZING MEDICAL TRAINING AND DIAGNOSTICS
    • 5.3.3 IMPROVING OPERATIONAL EFFICIENCY IN HOSPITALS
  • 5.4 TECHNOLOGY ANALYSIS
    • 5.4.1 TECHNOLOGY STACK
      • 5.4.1.1 5G networks
      • 5.4.1.2 Internet of Things
      • 5.4.1.3 Cloud and edge computing
      • 5.4.1.4 Blockchain
      • 5.4.1.5 Augmented reality, virtual reality, and mixed reality
      • 5.4.1.6 Artificial intelligence and machine learning
  • 5.5 PORTER'S FIVE FORCES ANALYSIS
    • 5.5.1 INTENSITY OF COMPETITIVE RIVALRY
    • 5.5.2 BARGAINING POWER OF SUPPLIERS
    • 5.5.3 BARGAINING POWER OF BUYERS
    • 5.5.4 THREAT OF NEW ENTRANTS
    • 5.5.5 THREAT OF SUBSTITUTES
  • 5.6 REGULATORY LANDSCAPE
    • 5.6.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • 5.7 VALUE CHAIN ANALYSIS
    • 5.7.1 PLANNING & REVISING FUNDS
    • 5.7.2 RESEARCH & DEVELOPMENT
    • 5.7.3 SOFTWARE DESIGN, FRAMEWORK, AND DEVELOPMENT
    • 5.7.4 PRODUCT/SOLUTION PROVIDERS
    • 5.7.5 END USERS AND AFTER-SALES SERVICE PROVIDERS
  • 5.8 ECOSYSTEM ANALYSIS
  • 5.9 PATENT ANALYSIS
    • 5.9.1 INSIGHTS: JURISDICTION AND TOP APPLICANT ANALYSIS
  • 5.10 ADJACENT MARKET ANALYSIS
  • 5.11 CASE STUDY ANALYSIS
    • 5.11.1 UTILIZATION OF DIGITAL TWIN TECHNOLOGY FOR SURGE PLANNING DECISIONS
    • 5.11.2 PROVISION OF HOSPITAL GUIDANCE USING DIGITAL TWINS IN HEALTHCARE DURING COVID-19 PANDEMIC
    • 5.11.3 OPTIMIZATION OF CARDIOVASCULAR SOLUTIONS FOR PERSONALIZED TREATMENTS
  • 5.12 KEY STAKEHOLDERS & BUYING CRITERIA
    • 5.12.1 KEY STAKEHOLDERS IN BUYING PROCESS
    • 5.12.2 BUYING CRITERIA
  • 5.13 KEY CONFERENCES & EVENTS, 2025-2026
  • 5.14 TRENDS/DISRUPTIONS IMPACTING BUYERS

6 DIGITAL TWINS IN HEALTHCARE MARKET, BY COMPONENT

  • 6.1 INTRODUCTION
  • 6.2 SERVICES
    • 6.2.1 INTRODUCTION OF COMPLEX SOFTWARE TO BOOST DEMAND
  • 6.3 SOFTWARE
    • 6.3.1 TRANSITION TO WEB/CLOUD-BASED MODELS TO PROPEL MARKET

7 DIGITAL TWINS IN HEALTHCARE MARKET, BY TYPE

  • 7.1 INTRODUCTION
  • 7.2 PROCESS TWINS
    • 7.2.1 RISING DEMAND FOR HEALTHCARE WORKFLOWS AND OPERATIONAL PROCESSES TO DRIVE MARKET
  • 7.3 SYSTEM TWINS
    • 7.3.1 INCREASING DEMAND FOR OPERATIONAL EFFICIENCY IN HOSPITALS TO FUEL MARKET
  • 7.4 WHOLE BODY TWINS
    • 7.4.1 TECHNOLOGICAL ADVANCEMENTS SUCH AS AI AND ML TO FUEL MARKET
  • 7.5 BODY PART TWINS
    • 7.5.1 GRADUAL PREFERENCE FOR PERSONALIZED & PRECISION MEDICINE TO SUPPORT MARKET GROWTH

8 DIGITAL TWINS IN HEALTHCARE MARKET, BY APPLICATION

  • 8.1 INTRODUCTION
  • 8.2 DRUG DISCOVERY & DEVELOPMENT
    • 8.2.1 ABILITY OF DIGITAL TWINS TO ENHANCE DRUG DISCOVERY & DEVELOPMENT TO BOOST MARKET
  • 8.3 PERSONALIZED MEDICINE
    • 8.3.1 COST-EFFECTIVE DEVELOPMENT & TESTING OF PERSONALIZED DIAGNOSTICS TO SUPPORT MARKET GROWTH
  • 8.4 SURGICAL PLANNING & MEDICAL EDUCATION
    • 8.4.1 ABILITY ENHANCE TRAINING AND SIMULATE SURGICAL PROCEDURES TO BOOST DEMAND
  • 8.5 MEDICAL DEVICE DESIGN & TESTING
    • 8.5.1 MINIMIZING RISKS AND REDUCING DOWNTIME TO DRIVE MARKET
  • 8.6 HEALTHCARE WORKFLOW OPTIMIZATION & ASSET MANAGEMENT
    • 8.6.1 ADVANTAGES SUCH AS IMPROVED EFFICIENCY AND VALUABLE INSIGHTS TO SUPPORT DEMAND
  • 8.7 OTHER APPLICATIONS

9 DIGITAL TWINS IN HEALTHCARE MARKET, BY END USER

  • 9.1 INTRODUCTION
  • 9.2 PHARMA & BIOPHARMA COMPANIES
    • 9.2.1 RISING DEMAND FOR SOLUTIONS TO REDUCE TIME AND COST OF DRUG DEVELOPMENT TO BOOST ADOPTION
  • 9.3 RESEARCH & ACADEMIA
    • 9.3.1 INTERACTIVE AND IMMERSIVE LEARNING EXPERIENCES OFFERED BY DIGITAL TWINS TO BOOST ADOPTION
  • 9.4 HEALTHCARE PROVIDERS
    • 9.4.1 LOWER COSTS AND BETTER PATIENT TREATMENT TO FAVOR MARKET GROWTH
  • 9.5 MEDICAL DEVICE COMPANIES
    • 9.5.1 GROWING USE OF DIGITAL TWINS FOR SOFTWARE OPTIMIZATION OF MEDICAL DEVICES TO FUEL GROWTH
  • 9.6 OTHER END USERS

10 DIGITAL TWINS IN HEALTHCARE MARKET, BY REGION

  • 10.1 INTRODUCTION
  • 10.2 NORTH AMERICA
    • 10.2.1 MACROECONOMIC OUTLOOK FOR NORTH AMERICA
    • 10.2.2 US
      • 10.2.2.1 Expanding applications of digital twins in healthcare to bolster market growth
    • 10.2.3 CANADA
      • 10.2.3.1 Growing investments in digital twin development to drive market
  • 10.3 EUROPE
    • 10.3.1 MACROECONOMIC OUTLOOK FOR EUROPE
    • 10.3.2 GERMANY
      • 10.3.2.1 Collaborations & partnerships to drive adoption of digital twins
    • 10.3.3 UK
      • 10.3.3.1 Growing applications of digital twins to support growth
    • 10.3.4 FRANCE
      • 10.3.4.1 Growing government funding for digital twin development to bolster growth
    • 10.3.5 ITALY
      • 10.3.5.1 Rising focus on digital transformation for value-centric patient care to drive market
    • 10.3.6 SPAIN
      • 10.3.6.1 Rising funding investments for digital health plans to boost market
    • 10.3.7 REST OF EUROPE
  • 10.4 ASIA PACIFIC
    • 10.4.1 MACROECONOMIC OUTLOOK FOR ASIA PACIFIC
    • 10.4.2 JAPAN
      • 10.4.2.1 Growing penetration of digital twin technologies to support market growth
    • 10.4.3 CHINA
      • 10.4.3.1 China to register highest CAGR during forecast period
    • 10.4.4 INDIA
      • 10.4.4.1 Improvements in healthcare infrastructure to support market growth
    • 10.4.5 REST OF ASIA PACIFIC
  • 10.5 LATIN AMERICA
    • 10.5.1 MACROECONOMIC OUTLOOK FOR LATIN AMERICA
    • 10.5.2 BRAZIL
      • 10.5.2.1 Favorable digitization investments to support market growth
    • 10.5.3 MEXICO
      • 10.5.3.1 Supportive government strategies to fuel uptake
    • 10.5.4 REST OF LATIN AMERICA
  • 10.6 MIDDLE EAST & AFRICA
    • 10.6.1 MACROECONOMIC OUTLOOK FOR MIDDLE EAST & AFRICA
    • 10.6.2 GCC COUNTRIES
      • 10.6.2.1 Increasing healthcare infrastructure development and investments to support market growth
    • 10.6.3 REST OF MIDDLE EAST AND AFRICA

11 COMPETITIVE LANDSCAPE

  • 11.1 OVERVIEW
  • 11.2 KEY PLAYER STRATEGIES/RIGHT TO WIN
    • 11.2.1 OVERVIEW OF STRATEGIES ADOPTED BY KEY PLAYERS IN DIGITAL TWINS IN HEALTHCARE MARKET
  • 11.3 REVENUE ANALYSIS, 2020-2024
  • 11.4 MARKET SHARE ANALYSIS, 2024
  • 11.5 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2024
    • 11.5.1 STARS
    • 11.5.2 EMERGING LEADERS
    • 11.5.3 PERVASIVE PLAYERS
    • 11.5.4 PARTICIPANTS
    • 11.5.5 COMPANY FOOTPRINT: KEY PLAYERS, 2024
      • 11.5.5.1 Region footprint
      • 11.5.5.2 Company footprint
      • 11.5.5.3 Component footprint
      • 11.5.5.4 Application footprint
      • 11.5.5.5 End-user footprint
  • 11.6 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2024
    • 11.6.1 PROGRESSIVE COMPANIES
    • 11.6.2 RESPONSIVE COMPANIES
    • 11.6.3 DYNAMIC COMPANIES
    • 11.6.4 STARTING BLOCKS
    • 11.6.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2023
      • 11.6.5.1 Detailed list of key startups/SME players
      • 11.6.5.2 Competitive benchmarking of key startups/SME players
  • 11.7 COMPANY VALUATION & FINANCIAL METRICS
    • 11.7.1 FINANCIAL METRICS
    • 11.7.2 COMPANY VALUATION
  • 11.8 BRAND/SOFTWARE COMPARISON
  • 11.9 COMPETITIVE SCENARIO
    • 11.9.1 PRODUCT/SERVICE LAUNCHES, ENHANCEMENTS, AND APPROVALS
    • 11.9.2 DEALS
    • 11.9.3 EXPANSIONS
    • 11.9.4 OTHER DEVELOPMENTS

12 COMPANY PROFILES

  • 12.1 KEY PLAYERS
    • 12.1.1 MICROSOFT CORPORATION
      • 12.1.1.1 Business overview
      • 12.1.1.2 Products/Services offered
      • 12.1.1.3 Recent developments
        • 12.1.1.3.1 Deals
      • 12.1.1.4 MnM view
        • 12.1.1.4.1 Key strengths
        • 12.1.1.4.2 Strategic choices
        • 12.1.1.4.3 Weaknesses & competitive threats
    • 12.1.2 SIEMENS HEALTHINEERS AG
      • 12.1.2.1 Business overview
      • 12.1.2.2 Products/Services offered
      • 12.1.2.3 Recent developments
        • 12.1.2.3.1 Deals
      • 12.1.2.4 MnM view
        • 12.1.2.4.1 Key strengths
        • 12.1.2.4.2 Strategic choices
        • 12.1.2.4.3 Weaknesses & competitive threats
    • 12.1.3 KONINKLIJKE PHILIPS N.V.
      • 12.1.3.1 Business overview
      • 12.1.3.2 Products/Services offered
      • 12.1.3.3 Recent developments
        • 12.1.3.3.1 Deals
      • 12.1.3.4 MnM view
        • 12.1.3.4.1 Key strengths
        • 12.1.3.4.2 Strategic choices
        • 12.1.3.4.3 Weaknesses & competitive threats
    • 12.1.4 AMAZON WEB SERVICES, INC.
      • 12.1.4.1 Business overview
      • 12.1.4.2 Products/Services offered
      • 12.1.4.3 Recent developments
        • 12.1.4.3.1 Product/Service launches & enhancements
        • 12.1.4.3.2 Deals
      • 12.1.4.4 MnM view
        • 12.1.4.4.1 Key strengths
        • 12.1.4.4.2 Strategic choices
        • 12.1.4.4.3 Weaknesses & competitive threats
    • 12.1.5 DASSAULT SYSTEMES
      • 12.1.5.1 Business overview
      • 12.1.5.2 Products/Services offered
      • 12.1.5.3 Recent developments
        • 12.1.5.3.1 Product/Service launches & enhancements
        • 12.1.5.3.2 Deals
      • 12.1.5.4 MnM view
        • 12.1.5.4.1 Key strengths
        • 12.1.5.4.2 Strategic choices
        • 12.1.5.4.3 Weaknesses & competitive threats
    • 12.1.6 GE HEALTHCARE
      • 12.1.6.1 Business overview
      • 12.1.6.2 Products/Services offered
      • 12.1.6.3 Recent developments
        • 12.1.6.3.1 Deals
    • 12.1.7 ORACLE CORPORATION
      • 12.1.7.1 Business overview
      • 12.1.7.2 Products/Services offered
      • 12.1.7.3 Recent developments
        • 12.1.7.3.1 Product/Service enhancements
        • 12.1.7.3.2 Deals
        • 12.1.7.3.3 Expansions
    • 12.1.8 IBM
      • 12.1.8.1 Business overview
      • 12.1.8.2 Products/Services offered
      • 12.1.8.3 Recent developments
        • 12.1.8.3.1 Deals
    • 12.1.9 PTC
      • 12.1.9.1 Business overview
      • 12.1.9.2 Products/Services offered
      • 12.1.9.3 Recent developments
        • 12.1.9.3.1 Product/Service launches
        • 12.1.9.3.2 Deals
    • 12.1.10 SAP
      • 12.1.10.1 Business overview
      • 12.1.10.2 Products/Services offered
      • 12.1.10.3 Recent developments
        • 12.1.10.3.1 Deals
        • 12.1.10.3.2 Other developments
    • 12.1.11 ATOS SE
      • 12.1.11.1 Business overview
      • 12.1.11.2 Products/Services offered
      • 12.1.11.3 Recent developments
        • 12.1.11.3.1 Deals
    • 12.1.12 NVIDIA CORPORATION
      • 12.1.12.1 Business overview
      • 12.1.12.2 Products/Services offered
      • 12.1.12.3 Recent developments
        • 12.1.12.3.1 Product/Service launches
        • 12.1.12.3.2 Deals
    • 12.1.13 ANSYS INC.
      • 12.1.13.1 Business overview
      • 12.1.13.2 Products/Services offered
      • 12.1.13.3 Recent developments
        • 12.1.13.3.1 Product/Service launches
        • 12.1.13.3.2 Deals
    • 12.1.14 FASTSTREAM TECHNOLOGIES
      • 12.1.14.1 Business overview
      • 12.1.14.2 Products/Services offered
    • 12.1.15 RESCALE, INC.
      • 12.1.15.1 Business overview
      • 12.1.15.2 Products/Services offered
  • 12.2 OTHER PAYERS
    • 12.2.1 TWIN HEALTH
      • 12.2.1.1 Business overview
      • 12.2.1.2 Products/Services offered
      • 12.2.1.3 Recent developments
        • 12.2.1.3.1 Other developments
    • 12.2.2 VERTO
      • 12.2.2.1 Business overview
      • 12.2.2.2 Products/Services offered
      • 12.2.2.3 Recent developments
        • 12.2.2.3.1 Deals
    • 12.2.3 QBIO
      • 12.2.3.1 Business overview
      • 12.2.3.2 Products/Services offered
      • 12.2.3.3 Recent developments
        • 12.2.3.3.1 Product/Service launches
    • 12.2.4 THOUGHTWIRE
      • 12.2.4.1 Business overview
      • 12.2.4.2 Products/Services offered
    • 12.2.5 SIM AND CURE
      • 12.2.5.1 Business overview
      • 12.2.5.2 Products/Services offered
    • 12.2.6 PREDICTIV
      • 12.2.6.1 Business overview
      • 12.2.6.2 Products/Services offered
    • 12.2.7 NUREA
      • 12.2.7.1 Business overview
      • 12.2.7.2 Products/Services offered
      • 12.2.7.3 Recent developments
        • 12.2.7.3.1 Product/Service approvals
        • 12.2.7.3.2 Deals
    • 12.2.8 UNLEARN.AI, INC.
      • 12.2.8.1 Business overview
      • 12.2.8.2 Products/Services offered
      • 12.2.8.3 Recent developments
        • 12.2.8.3.1 Deals
        • 12.2.8.3.2 Other developments
    • 12.2.9 VIRTONOMY GMBH
      • 12.2.9.1 Business overview
      • 12.2.9.2 Products/Services offered
    • 12.2.10 PREDISURGE
      • 12.2.10.1 Business overview
      • 12.2.10.2 Products/Services offered
      • 12.2.10.3 Recent developments
        • 12.2.10.3.1 Deals
        • 12.2.10.3.2 Other developments

13 APPENDIX

  • 13.1 DISCUSSION GUIDE
  • 13.2 KNOWLEDGESTORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
  • 13.3 CUSTOMIZATION OPTIONS
  • 13.4 RELATED REPORTS
  • 13.5 AUTHOR DETAILS
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