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

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.

"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