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Clinical Trials Matching Software Market Size, Share & Trends Analysis Report by Deployment Mode (Web & Cloud-based, on-premise), End Use (Pharmaceutical & Biotechnology Companies, Medical Device Companies), Region, with Growth Forecasts, 2025-2030- Product Image
Clinical Trials Matching Software Market Size, Share & Trends Analysis Report by Deployment Mode (Web & Cloud-based, on-premise), End Use (Pharmaceutical & Biotechnology Companies, Medical Device Companies), Region, with Growth Forecasts, 2025-2030- Product Image
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Clinical Trials Matching Software Market Size, Share & Trends Analysis Report by Deployment Mode (Web & Cloud-based, on-premise), End Use (Pharmaceutical & Biotechnology Companies, Medical Device Companies), Region, with Growth Forecasts, 2025-2030

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    Report

  • 120 Pages
  • April 2025
  • Region: Global
  • Grand View Research
  • ID: 5595824
Description Jump to:
The Clinical Trials Matching Software Market was valued at USD 187.09 Million in 2024, and is projected to reach USD 396.13 Million by 2030, rising at a CAGR of 13.45%. The significant increase in the number of ongoing clinical trials is likely to drive the market. In addition, the growing adoption of the clinical trial matching software catering to the clinical trials, along with the increased demand for virtual trials and automation in the healthcare sector are some of the key factors contributing to the market growth. The matching software help in effective and fast patient matching with patient-centric approaches.

In clinical trials, patient recruitment or matching can be time-consuming, and finding the right match can be a hurdle. Screening or locating prospective respondents who are qualified, considering all elements of the trials, verifying awareness, and getting informed consent to participate are the factors taken into consideration while recruiting patients. Enlisting the individuals in accordance with the qualifying requirements is crucial, hence the trial matching technology has been proved to be useful, especially in the COVID-19 scenario.

The software helps not only to find the right match but also saves the R&D-related costs, enabling smoother operations without human intervention. The software providers are introducing new innovative techniques to strengthen their market position. For instance, in February 2022, the CTMA expanded CT-SCOUT technology offering in rheumatology.

Clinical Trials Matching Software Market Report Highlights

  • Based on deployment mode, the web and cloud based segment dominated the market in terms of revenue in 2024 and it is expected to register the fastest CAGR during the forecast period. The cloud computing models operate with no maintenance or upkeep charges and customers only have to pay for the services that are used. On the other hand, on-premises deployment involves in-house infrastructure, in-house IT support, working capital, and higher integration costs. Hence, web and cloud based models are preferred
  • Based on end use, pharmaceuticals and biotechnology companies captured the largest revenue share in 2024 owing to the higher adoption of software during ongoing clinical studies for cost-saving in the R&D activities
  • Contract Research Organizations (CRO) segment is expected to register the fastest CAGR over the forecast period. CROs provide the professional assistance, expertise, and execution experience required for clinical trials quickly, without the need for the sponsor to engage such people full-time. CROs are preferred for outsourcing as their services are cost and time-effective
  • In 2024, North America led the market in terms of revenue owing to the rising adoption of the clinical trial matching software by the pharma, biotech, and medical companies in the region
  • Asia-Pacific is anticipated to register the fastest growth rate over the forecast period due to the availability of a large patient pool supporting easy recruitment of patients/candidates

Why Should You Buy This Report?

  • Comprehensive Market Analysis: Gain detailed insights into the market across major regions and segments.
  • Competitive Landscape: Explore the market presence of key players.
  • Future Trends: Discover the pivotal trends and drivers shaping the future of the market.
  • Actionable Recommendations: Utilize insights to uncover new revenue streams and guide strategic business decisions.

This report addresses:

  • Market intelligence to enable effective decision-making
  • Market estimates and forecasts from 2018 to 2030
  • Growth opportunities and trend analyses
  • Segment and regional revenue forecasts for market assessment
  • Competition strategy and market share analysis
  • Product innovation listings for you to stay ahead of the curve

This product will be delivered within 1-3 business days.

Table of Contents

Chapter 1. Research Methodology and Scope
1.1. Market Segmentation & Scope
1.1.1. Deployment mode
1.1.2. End Use
1.1.3. Regional scope
1.1.4. Estimates and forecast timeline.
1.2. Research Methodology
1.3. Information Procurement
1.3.1. Purchased database.
1.3.2. internal database
1.3.3. Secondary sources
1.3.4. Primary research
1.3.5. Details of primary research
1.4. Information or Data Analysis
1.4.1. Data analysis models
1.5. Market Formulation & Validation
1.6. Model Details
1.6.1. Commodity flow analysis (Model 1)
1.6.2. Approach 1: Commodity flow approach
1.7. List of Secondary Sources
1.8. List of Primary Sources
1.9. Objectives
Chapter 2. Executive Summary
2.1. Market Outlook
2.2. Segment Outlook
2.2.1. Deployment mode outlook
2.2.2. End use
2.2.3. Regional outlook
2.3. Competitive Insights
Chapter 3. Clinical Trials Matching Software Market Variables, Trends & Scope
3.1. Market Dynamics
3.1.1. Market Driver Analysis
3.1.1.1. Growing Complexity of Clinical Trials
3.1.1.2. Increasing Demand for Precision Medicine & Personalized Trials
3.1.1.3. Regulatory Push for Enhanced Patient Enrollment Efficiency
3.1.1.4. Rising Investments in Digital Health & Clinical Research Technologies
3.1.1.5. Expanding Clinical Trial Pipelines & Decentralized Trials
3.1.1.6. Partnerships Between Pharma Companies & Tech Firms for Advanced Solutions
3.1.2. Market Restraint Analysis
3.1.2.1. High Implementation and Maintenance Costs
3.1.2.2. Data Privacy and Security Concerns
3.1.3. Market Opportunities Analysis
3.2. Clinical Trials Matching Software Market Analysis Tools
3.2.1. Industry Analysis - Porter’s
3.2.1.1. Supplier power
3.2.1.2. Buyer power
3.2.1.3. Substitution threat
3.2.1.4. Threat of new entrant
3.2.1.5. Competitive rivalry
3.2.2. PESTEL Analysis
3.2.2.1. Political landscape
3.2.2.2. Economic landscape
3.2.2.3. Social landscape
3.2.2.4. Technological landscape
3.2.2.5. Environmental landscape
3.2.2.6. Legal landscape
3.2.3. Emerging Technologies
3.2.4. Case Studies & Insights
3.2.5. COVID-19 Impact Analysis
Chapter 4. Clinical Trials Matching Software Market: Deployment Mode Estimates & Trend Analysis
4.1. Deployment Mode Market Share, 2024 & 2030
4.2. Segment Dashboard
4.3. Global Clinical Trials Matching Software Market by Deployment Mode Outlook
4.4. Web & Cloud-based
4.4.1. Market estimates and forecast 2018 to 2030 (USD Million)
4.5. on-Premises
4.5.1. Market estimates and forecast 2018 to 2030 (USD Million)
Chapter 5. Clinical Trials Matching Software Market: End Use Estimates & Trend Analysis
5.1. End Use Market Share, 2024 & 2030
5.2. Segment Dashboard
5.3. Global Clinical Trials Matching Software Market by End Use Outlook
5.4. Pharmaceutical & Biotechnology Companies
5.4.1. Market estimates and forecast 2018 to 2030 (USD Million)
5.5. CROs
5.5.1. Market estimates and forecast 2018 to 2030 (USD Million)
5.6. Medical Device Companies
5.6.1. Market estimates and forecast 2018 to 2030 (USD Million)
Chapter 6. Clinical Trials Matching Software Market: Regional Estimates & Trend Analysis, by Deployment Mode and by End Use
6.1. Regional Market Share Analysis, 2024 & 2030
6.2. Regional Market Dashboard
6.3. Global Regional Market Snapshot
6.4. Market Size & Forecasts Trend Analysis, 2018 to 2030:
6.5. North America
6.5.1. U.S.
6.5.1.1. Key country dynamics
6.5.1.2. Regulatory framework
6.5.1.3. Competitive scenario
6.5.1.4. U.S. market estimates and forecasts 2018 to 2030 (USD Million)
6.5.2. Canada
6.5.2.1. Key country dynamics
6.5.2.2. Regulatory framework
6.5.2.3. Competitive scenario
6.5.2.4. Canada market estimates and forecasts 2018 to 2030 (USD Million)
6.5.3. Mexico
6.5.3.1. Key country dynamics
6.5.3.2. Regulatory framework
6.5.3.3. Competitive scenario
6.5.3.4. Canada market estimates and forecasts 2018 to 2030 (USD Million)
6.6. Europe
6.6.1. UK
6.6.1.1. Key country dynamics
6.6.1.2. Regulatory framework
6.6.1.3. Competitive scenario
6.6.1.4. UK market estimates and forecasts 2018 to 2030 (USD Million)
6.6.2. Germany
6.6.2.1. Key country dynamics
6.6.2.2. Regulatory framework
6.6.2.3. Competitive scenario
6.6.2.4. Germany market estimates and forecasts 2018 to 2030 (USD Million)
6.6.3. France
6.6.3.1. Key country dynamics
6.6.3.2. Regulatory framework
6.6.3.3. Competitive scenario
6.6.3.4. France market estimates and forecasts 2018 to 2030 (USD Million)
6.6.4. Italy
6.6.4.1. Key country dynamics
6.6.4.2. Regulatory framework
6.6.4.3. Competitive scenario
6.6.4.4. Italy market estimates and forecasts 2018 to 2030 (USD Million)
6.6.5. Spain
6.6.5.1. Key country dynamics
6.6.5.2. Regulatory framework
6.6.5.3. Competitive scenario
6.6.5.4. Spain market estimates and forecasts 2018 to 2030 (USD Million)
6.6.6. Norway
6.6.6.1. Key country dynamics
6.6.6.2. Regulatory framework
6.6.6.3. Competitive scenario
6.6.6.4. Norway market estimates and forecasts 2018 to 2030 (USD Million)
6.6.7. Sweden
6.6.7.1. Key country dynamics
6.6.7.2. Regulatory framework
6.6.7.3. Competitive scenario
6.6.7.4. Sweden market estimates and forecasts 2018 to 2030 (USD Million)
6.6.8. Denmark
6.6.8.1. Key country dynamics
6.6.8.2. Regulatory framework
6.6.8.3. Competitive scenario
6.6.8.4. Denmark market estimates and forecasts 2018 to 2030 (USD Million)
6.7. Asia Pacific
6.7.1. Japan
6.7.1.1. Key country dynamics
6.7.1.2. Regulatory framework
6.7.1.3. Competitive scenario
6.7.1.4. Japan market estimates and forecasts 2018 to 2030 (USD Million)
6.7.2. China
6.7.2.1. Key country dynamics
6.7.2.2. Regulatory framework
6.7.2.3. Competitive scenario
6.7.2.4. China market estimates and forecasts 2018 to 2030 (USD Million)
6.7.3. India
6.7.3.1. Key country dynamics
6.7.3.2. Regulatory framework
6.7.3.3. Competitive scenario
6.7.3.4. India market estimates and forecasts 2018 to 2030 (USD Million)
6.7.4. Australia
6.7.4.1. Key country dynamics
6.7.4.2. Regulatory framework
6.7.4.3. Competitive scenario
6.7.4.4. Australia market estimates and forecasts 2018 to 2030 (USD Million)
6.7.5. South Korea
6.7.5.1. Key country dynamics
6.7.5.2. Regulatory framework
6.7.5.3. Competitive scenario
6.7.5.4. South Korea market estimates and forecasts 2018 to 2030 (USD Million)
6.7.6. Thailand
6.7.6.1. Key country dynamics
6.7.6.2. Regulatory framework
6.7.6.3. Competitive scenario
6.7.6.4. Singapore market estimates and forecasts 2018 to 2030 (USD Million)
6.8. Latin America
6.8.1. Brazil
6.8.1.1. Key country dynamics
6.8.1.2. Regulatory framework
6.8.1.3. Competitive scenario
6.8.1.4. Brazil market estimates and forecasts 2018 to 2030 (USD Million)
6.8.2. Argentina
6.8.2.1. Key country dynamics
6.8.2.2. Regulatory framework
6.8.2.3. Competitive scenario
6.8.2.4. Argentina market estimates and forecasts 2018 to 2030 (USD Million)
6.9. MEA
6.9.1. South Africa
6.9.1.1. Key country dynamics
6.9.1.2. Regulatory framework
6.9.1.3. Competitive scenario
6.9.1.4. South Africa market estimates and forecasts 2018 to 2030 (USD Million)
6.9.2. Saudi Arabia
6.9.2.1. Key country dynamics
6.9.2.2. Regulatory framework
6.9.2.3. Competitive scenario
6.9.2.4. Saudi Arabia market estimates and forecasts 2018 to 2030 (USD Million)
6.9.3. UAE
6.9.3.1. Key country dynamics
6.9.3.2. Regulatory framework
6.9.3.3. Competitive scenario
6.9.3.4. UAE market estimates and forecasts 2018 to 2030 (USD Million)
6.9.4. Kuwait
6.9.4.1. Key country dynamics
6.9.4.2. Regulatory framework
6.9.4.3. Competitive scenario
6.9.4.4. Kuwait market estimates and forecasts 2018 to 2030 (USD Million)
Chapter 7. Competitive Landscape
7.1. Recent Developments & Impact Analysis, by Key Market Participants
7.2. Company/Competition Categorization
7.3. Key company market share/position analysis, 2024
7.4. Company Profiles
7.4.1. IBM
7.4.1.1. Company overview
7.4.1.2. Financial performance
7.4.1.3. Technology Type benchmarking
7.4.1.4. Strategic initiatives
7.4.2. Antidote Technologies, Inc.
7.4.2.1. Company overview
7.4.2.2. Financial performance
7.4.2.3. Technology Type benchmarking
7.4.2.4. Strategic initiatives
7.4.3. RealTime Software Solutions, LLC
7.4.3.1. Company overview
7.4.3.2. Financial performance
7.4.3.3. Technology Type benchmarking
7.4.3.4. Strategic initiatives
7.4.4. Optimapharm.
7.4.4.1. Company overview
7.4.4.2. Financial performance
7.4.4.3. Technology Type benchmarking
7.4.4.4. Strategic initiatives
7.4.5. Advarra
7.4.5.1. Company overview
7.4.5.2. Financial performance
7.4.5.3. Technology Type benchmarking
7.4.5.4. Strategic initiatives
7.4.6. BSI Business Systems Integration AG
7.4.6.1. Company overview
7.4.6.2. Financial performance
7.4.6.3. Technology Type benchmarking
7.4.6.4. Strategic initiatives
7.4.7. Clario
7.4.7.1. Company overview
7.4.7.2. Financial performance
7.4.7.3. Technology Type benchmarking
7.4.7.4. Strategic initiatives
7.4.8. HealthMatch
7.4.8.1. Company overview
7.4.8.2. Financial performance
7.4.8.3. Technology Type benchmarking
7.4.8.4. Strategic initiatives
7.4.9. Microsoft
7.4.9.1. Company overview
7.4.9.2. Financial performance
7.4.9.3. Technology Type benchmarking
7.4.9.4. Strategic initiatives
7.4.10. Deep6.ai
7.4.10.1. Company overview
7.4.10.2. Financial performance
7.4.10.3. Technology Type benchmarking
7.4.10.4. Strategic initiatives
7.4.11. Inspirata, Inc.
7.4.11.1. Company overview
7.4.11.2. Financial performance
7.4.11.3. Technology Type benchmarking
7.4.11.4. Strategic initiatives
7.4.12. Mendel Health Inc.
7.4.12.1. Company overview
7.4.12.2. Financial performance
7.4.12.3. Technology Type benchmarking
7.4.12.4. Strategic initiatives
7.4.13. MatchTrial
7.4.13.1. Company overview
7.4.13.2. Financial performance
7.4.13.3. Technology Type benchmarking
7.4.13.4. Strategic initiatives
7.4.14. Curewiki
7.4.14.1. Company overview
7.4.14.2. Financial performance
7.4.14.3. Technology Type benchmarking
7.4.14.4. Strategic initiatives
7.4.15. Inteliquet (IQVIA)
7.4.15.1. Company overview
7.4.15.2. Financial performance
7.4.15.3. Technology Type benchmarking
7.4.15.4. Strategic initiatives
7.4.16. Tempus Labs
7.4.16.1. Company overview
7.4.16.2. Financial performance
7.4.16.3. Technology Type benchmarking
7.4.16.4. Strategic initiatives
List of Tables
Table 1 List of secondary sources
Table 2 List of abbreviations
Table 3 North America clinical trials matching software market estimates and forecasts, by deployment mode, 2018-2030 (USD Million)
Table 4 North America clinical trials matching software market estimates and forecasts, by end use, 2018-2030 (USD Million)
Table 5 U.S. clinical trials matching software market estimates and forecasts, by deployment mode, 2018-2030 (USD Million)
Table 6 U.S. clinical trials matching software market estimates and forecasts, by end use, 2018-2030 (USD Million)
Table 7 Canada clinical trials matching software market estimates and forecasts, by deployment mode, 2018-2030 (USD Million)
Table 8 Canada clinical trials matching software market estimates and forecasts, by end use, 2018-2030 (USD Million)
Table 9 Mexico clinical trials matching software market estimates and forecasts, by deployment mode, 2018-2030 (USD Million)
Table 10 Mexico clinical trials matching software market estimates and forecasts, by end use, 2018-2030 (USD Million)
Table 11 Europe clinical trials matching software market estimates and forecasts, by deployment mode, 2018-2030 (USD Million)
Table 12 Europe clinical trials matching software market estimates and forecasts, by end use, 2018-2030 (USD Million)
Table 13 UK clinical trials matching software market estimates and forecasts, by deployment mode, 2018-2030 (USD Million)
Table 14 UK clinical trials matching software market estimates and forecasts, by end use, 2018-2030 (USD Million)
Table 15 Germany clinical trials matching software market estimates and forecasts, by deployment mode, 2018-2030 (USD Million)
Table 16 Germany clinical trials matching software market estimates and forecasts, by end use, 2018-2030 (USD Million)
Table 17 France clinical trials matching software market estimates and forecasts, by deployment mode, 2018-2030 (USD Million)
Table 18 France clinical trials matching software market estimates and forecasts, by end use, 2018-2030 (USD Million)
Table 19 Italy clinical trials matching software market estimates and forecasts, by deployment mode, 2018-2030 (USD Million)
Table 20 Italy clinical trials matching software market estimates and forecasts, by end use, 2018-2030 (USD Million)
Table 21 Spain clinical trials matching software market estimates and forecasts, by deployment mode, 2018-2030 (USD Million)
Table 22 Spain clinical trials matching software market estimates and forecasts, by end use, 2018-2030 (USD Million)
Table 23 Sweden clinical trials matching software market estimates and forecasts, by deployment mode, 2018-2030 (USD Million)
Table 24 Sweden clinical trials matching software market estimates and forecasts, by end use, 2018-2030 (USD Million)
Table 25 Denmark clinical trials matching software market estimates and forecasts, by deployment mode, 2018-2030 (USD Million)
Table 26 Denmark clinical trials matching software market estimates and forecasts, by end use, 2018-2030 (USD Million)
Table 27 Norway clinical trials matching software market estimates and forecasts, by deployment mode, 2018-2030 (USD Million)
Table 28 Norway clinical trials matching software market estimates and forecasts, by end use, 2018-2030 (USD Million)
Table 29 Asia Pacific clinical trials matching software market estimates and forecasts, by deployment mode, 2018-2030 (USD Million)
Table 30 Asia Pacific clinical trials matching software market estimates and forecasts, by end use, 2018-2030 (USD Million)
Table 31 Japan clinical trials matching software market estimates and forecasts, by deployment mode, 2018-2030 (USD Million)
Table 32 Japan clinical trials matching software market estimates and forecasts, by end use, 2018-2030 (USD Million)
Table 33 China clinical trials matching software market estimates and forecasts, by deployment mode, 2018-2030 (USD Million)
Table 34 China clinical trials matching software market estimates and forecasts, by end use, 2018-2030 (USD Million)
Table 35 India clinical trials matching software market estimates and forecasts, by deployment mode, 2018-2030 (USD Million)
Table 36 India clinical trials matching software market estimates and forecasts, by end use, 2018-2030 (USD Million)
Table 37 Australia clinical trials matching software market estimates and forecasts, by deployment mode, 2018-2030 (USD Million)
Table 38 Australia clinical trials matching software market estimates and forecasts, by end use, 2018-2030 (USD Million)
Table 39 South Korea clinical trials matching software market estimates and forecasts, by deployment mode, 2018-2030 (USD Million)
Table 40 South Korea clinical trials matching software market estimates and forecasts, by end use, 2018-2030 (USD Million)
Table 41 Thailand clinical trials matching software market estimates and forecasts, by deployment mode, 2018-2030 (USD Million)
Table 42 Thailand clinical trials matching software market estimates and forecasts, by end use, 2018-2030 (USD Million)
Table 43 Latin America clinical trials matching software market estimates and forecasts, by deployment mode, 2018-2030 (USD Million)
Table 44 Latin America clinical trials matching software market estimates and forecasts, by end use, 2018-2030 (USD Million)
Table 45 Brazil clinical trials matching software market estimates and forecasts, by deployment mode, 2018-2030 (USD Million)
Table 46 Brazil clinical trials matching software market estimates and forecasts, by end use, 2018-2030 (USD Million)
Table 47 Argentina clinical trials matching software market estimates and forecasts, by deployment mode, 2018-2030 (USD Million)
Table 48 Argentina clinical trials matching software market estimates and forecasts, by end use, 2018-2030 (USD Million)
Table 49 MEA clinical trials matching software market estimates and forecasts, by deployment mode, 2018-2030 (USD Million)
Table 50 MEA clinical trials matching software market estimates and forecasts, by end use, 2018-2030 (USD Million)
Table 51 South Africa clinical trials matching software market estimates and forecasts, by deployment mode, 2018-2030 (USD Million)
Table 52 South Africa clinical trials matching software market estimates and forecasts, by end use, 2018-2030 (USD Million)
Table 53 Saudi Arabia clinical trials matching software market estimates and forecasts, by deployment mode, 2018-2030 (USD Million)
Table 54 Saudi Arabia clinical trials matching software market estimates and forecasts, by end use, 2018-2030 (USD Million)
Table 55 UAE clinical trials matching software market estimates and forecasts, by deployment mode, 2018-2030 (USD Million)
Table 56 UAE clinical trials matching software market estimates and forecasts, by end use, 2018-2030 (USD Million)
Table 57 Kuwait clinical trials matching software market estimates and forecasts, by deployment mode, 2018-2030 (USD Million)
Table 58 Kuwait clinical trials matching software market estimates and forecasts, by end use, 2018-2030 (USD Million)
List of Figures
Figure 1 Clinical Trials Matching Software Market Segmentation
Figure 2 Information Procurement
Figure 3 Data Analysis Models
Figure 4 Market Formulation and Validation
Figure 5 Data Validating & Publishing
Figure 6 Market Snapshot
Figure 7 Segment Snapshot (1/2)
Figure 8 Segment Snapshot (2/2)
Figure 9 Competitive Landscape Snapshot
Figure 10 Clinical Trials Matching Software- Market Size and Growth Prospects (USD Million)
Figure 11 Clinical Trials Matching Software Market: Industry Value Chain Analysis
Figure 12 Clinical Trials Matching Software Market: Market Dynamics
Figure 13 Clinical Trials Matching Software Market: PORTER’s Analysis
Figure 14 Clinical Trials Matching Software Market: PESTEL Analysis
Figure 15 Clinical Trials Matching Software Market: Deployment Mode Movement Analysis, 2018-2030 (USD Million)
Figure 16 Clinical Trials Matching Software Market Share Analysis by Deployment Mode, 2024 & 2030
Figure 17 Web & Cloud-based Market Estimates & Forecasts, 2018-2030 (Revenue, USD Million)
Figure 18 On-premises Market Estimates & Forecasts, 2018-2030 (Revenue, USD Million)
Figure 19 Clinical Trials Matching Software Market: End Use Movement Analysis, 2018-2030 (USD Million)
Figure 20 Clinical Trials Matching Software Market Share Analysis by End Use, 2024 & 2030
Figure 21 Pharmaceutical & Biotechnology Companies Market Estimates & Forecasts, 2018-2030 (Revenue, USD Million)
Figure 22 CROs Market Estimates & Forecasts, 2018-2030 (Revenue, USD Million)
Figure 23 Medical Device Companiess Market Estimates & Forecasts, 2018-2030 (Revenue, USD Million)
Figure 24 Clinical Trials Matching Software Market Revenue, by Region, 2024 & 2030 (USD Million)
Figure 25 Regional Marketplace: Key Takeaways
Figure 26 North America Clinical Trials Matching Software Market Estimates and Forecasts, 2018-2030 (USD Million)
Figure 27 U.S. Clinical Trials Matching Software Market Estimates and Forecasts, 2018-2030 (USD Million)
Figure 28 Canada Clinical Trials Matching Software Market Estimates and Forecasts, 2018-2030 (USD Million)
Figure 29 Mexico Clinical Trials Matching Software Market Estimates and Forecasts, 2018-2030 (USD Million)
Figure 30 Europe Clinical Trials Matching Software Market Estimates and Forecasts, 2018-2030 (USD Million)
Figure 31 UK Clinical Trials Matching Software Market Estimates and Forecasts, 2018-2030) (USD Million)
Figure 32 Germany Clinical Trials Matching Software Market Estimates and Forecasts, 2018-2030 (USD Million)
Figure 33 France Clinical Trials Matching Software Market Estimates and Forecasts, 2018-2030 (USD Million)
Figure 34 Italy Clinical Trials Matching Software Market Estimates and Forecasts, 2018-2030 (USD Million)
Figure 35 Spain Clinical Trials Matching Software Market Estimates and Forecasts, 2018-2030 (USD Million)
Figure 36 Sweden Clinical Trials Matching Software Market Estimates and Forecasts, 2018-2030 (USD Million)
Figure 37 Denmark Clinical Trials Matching Software Market Estimates and Forecasts, 2018-2030 (USD Million)
Figure 38 Norway Clinical Trials Matching Software Market Estimates and Forecasts, 2018-2030 (USD Million)
Figure 39 Asia Pacific Clinical Trials Matching Software Market Estimates and Forecast, 2018-2030 (USD Million)
Figure 40 Japan Clinical Trials Matching Software Market Estimates and Forecasts, 2018-2030 (USD Million)
Figure 41 China Clinical Trials Matching Software Market Estimates and Forecasts, 2018-2030 (USD Million)
Figure 42 India Clinical Trials Matching Software Market Estimates and Forecasts, 2018-2030 (USD Million)
Figure 43 Australia Clinical Trials Matching Software Market Estimates and Forecasts, 2018-2030 (USD Million)
Figure 44 Thailand Clinical Trials Matching Software Market Estimates and Forecasts, 2018-2030 (USD Million)
Figure 45 Latin America Clinical Trials Matching Software Market Estimates and Forecasts, 2018-2030 (USD Million)
Figure 46 Brazil Clinical Trials Matching Software Market Estimates and Forecasts, 2018-2030 (USD Million)
Figure 47 Argentina Clinical Trials Matching Software Market Estimates and Forecasts, 2018-2030 (USD Million)
Figure 48 MEA Clinical Trials Matching Software Market Estimates and Forecasts, 2018-2030 (USD Million)
Figure 49 Saudi Arabia Clinical Trials Matching Software Market Estimates and Forecasts, 2018-2030 (USD Million)
Figure 50 UAE Clinical Trials Matching Software Market Estimates and Forecasts, 2018-2030 (USD Million)
Figure 51 South Africa Clinical Trials Matching Software Market Estimates and Forecasts, 2018-2030 (USD Million)
Figure 52 Kuwait Clinical Trials Matching Software Market Estimates and Forecasts, 2018-2030 (USD Million)
Figure 53 Key Company Categorization
Figure 54 Company Market Positioning
Figure 55 Key Company Market Share Analysis, 2024
Figure 56 Strategic Framework

Companies Mentioned

The companies profiled in this Clinical Trials Matching Software market report include:
  • IBM
  • Antidote Technologies, Inc.
  • Ofni Systems
  • Clario
  • Advarra
  • ArisGlobal
  • BSI Business Systems Integration AG
  • Teckro Limited
  • Evidation Health, Inc.
  • HealthMatch
  • Microsoft
  • Deep6.ai
  • Inspirata, Inc.
  • Mendel Health Inc.
  • MatchTrial
  • Curewiki
  • Inteliquet (IQVIA)
  • Tempus Labs

Methodology

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Table Information

Report AttributeDetails
No. of Pages120
PublishedApril 2025
Forecast Period2024 - 2030
Estimated Market Value ( USD ) in 2024 $ 187.09 Million
Forecasted Market Value ( USD ) by 2030 $ 396.13 Million
Compound Annual Growth Rate13.4%
Regions CoveredGlobal
No. of Companies Mentioned19

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