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Clinical Trials Matching Software Market by Functionality, Deployment, End-Use - Global Forecast 2025-2030

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    Report

  • 183 Pages
  • October 2024
  • Region: Global
  • 360iResearch™
  • ID: 5612869
UP TO OFF until Dec 31st 2024
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The Clinical Trials Matching Software Market grew from USD 342.20 million in 2023 to USD 386.89 million in 2024. It is expected to continue growing at a CAGR of 13.54%, reaching USD 832.56 million by 2030.

Clinical Trials Matching Software aims to streamline the process of connecting eligible patients with appropriate clinical trials by leveraging databases, AI, and machine learning algorithms. This technology is increasingly necessary as it addresses the inefficiencies and time delays associated with manual trial-matching, which often result in under-enrollment or skewed demographics in trials. Applications span across clinical research organizations, hospitals, and pharmaceutical companies, providing benefits like faster recruitment timelines and improved patient access to innovative treatments. With the emphasis on personalized medicine and the growing number of complex clinical trials, the demand for such software is set to rise. Key growth factors include advancements in AI and data integration technologies, increasing R&D in pharmaceuticals, and heightened demand for precision medicine. Potential opportunities lie in expanding the software's capabilities to incorporate real-time data input from electronic health records and genomic databases, thus enhancing match accuracy. However, the market faces limitations, such as data privacy concerns, regulatory hurdles, and the need for significant initial investments, which can hinder smaller firms from market entry. The complexity of integrating multiple data sources and the variability of clinical trial protocols further present challenges. To capitalize on market opportunities, businesses could innovate by developing more intuitive user interfaces and incorporating next-generation machine learning models that improve predictive accuracy and reduce human oversight. Future research could focus on achieving seamless interoperability with various healthcare IT systems and reducing the barrier to adoption by smaller clinical research organizations and international institutions. The market is currently nascent but poised for robust growth as facilities increasingly prioritize technological solutions to enhance trial efficiency and effectiveness. Companies focusing on strategic partnerships, compliance with evolving regulations, and investment in cutting-edge technology will likely set themselves apart in this competitive landscape.

Understanding Market Dynamics in the Clinical Trials Matching Software Market

The Clinical Trials Matching Software Market is rapidly evolving, shaped by dynamic supply and demand trends. These insights provide companies with actionable intelligence to drive investments, develop strategies, and seize emerging opportunities. A comprehensive understanding of market dynamics also helps organizations mitigate political, geographical, technical, social, and economic risks while offering a clearer view of consumer behavior and its effects on manufacturing costs and purchasing decisions.
  • Market Drivers
    • Rising clinical trial activities and emphasis on improved patient availability
    • Potential demand for virtual trials and automation in the healthcare sector
  • Market Restraints
    • Concern associated with the accuracy of matching software
  • Market Opportunities
    • Vibrant startup ecosystem and significant funding for software developments
    • High potential of clinical trial matching solutions for precision medicine clinical trials
  • Market Challenges
    • Dearth of skilled and experienced professionals and data management concerns

Exploring Porter’s Five Forces for the Clinical Trials Matching Software Market

Porter’s Five Forces framework further strengthens the insights of the Clinical Trials Matching Software Market, delivering a clear and effective methodology for understanding the competitive landscape. This tool enables companies to evaluate their current competitive standing and explore strategic repositioning by assessing businesses’ power dynamics and market positioning. It is also instrumental in determining the profitability of new ventures, helping companies leverage their strengths, address weaknesses, and avoid potential pitfalls.

Applying PESTLE Analysis to the Clinical Trials Matching Software Market

External macro-environmental factors deeply influence the performance of the Clinical Trials Matching Software Market, and the PESTLE analysis provides a comprehensive framework for understanding these influences. By examining Political, Economic, Social, Technological, Legal, and Environmental elements, this analysis offers organizations critical insights into potential opportunities and risks. It also helps businesses anticipate changes in regulations, consumer behavior, and economic trends, enabling them to make informed, forward-looking decisions.

Analyzing Market Share in the Clinical Trials Matching Software Market

The Clinical Trials Matching Software Market share analysis evaluates vendor performance. This analysis provides a clear view of each vendor’s standing in the competitive landscape by comparing key metrics such as revenue, customer base, and other critical factors. Additionally, it highlights market concentration, fragmentation, and trends in consolidation, empowering vendors to make strategic decisions that enhance their market position.

Evaluating Vendor Success with the FPNV Positioning Matrix in the Clinical Trials Matching Software Market

The Clinical Trials Matching Software Market FPNV Positioning Matrix is crucial in evaluating vendors based on business strategy and product satisfaction levels. By segmenting vendors into four quadrants - Forefront (F), Pathfinder (P), Niche (N), and Vital (V) - this matrix helps users make well-informed decisions that best align with their unique needs and objectives in the market.

Strategic Recommendations for Success in the Clinical Trials Matching Software Market

The Clinical Trials Matching Software Market strategic analysis is essential for organizations aiming to strengthen their position in the global market. A comprehensive review of resources, capabilities, and performance helps businesses identify opportunities for improvement and growth. This approach empowers companies to navigate challenges in the increasingly competitive landscape, ensuring they capitalize on new opportunities and align with long-term success.

Key Company Profiles

The report delves into recent significant developments in the Clinical Trials Matching Software Market, highlighting leading vendors and their innovative profiles. These include Advarra, Inc., Antidote Technologies, Inc., AQ, Inc, AutoCruitment LLC, BBK Worldwide, LLC by Publicis Health company, BEKhealth Corporation, Belongtail Ltd., Carebox Healthcare Solutions, Inc., Clara Health by M&B Sciences Inc:, Clariness GmbH, Clario, ClinicalConnection, Inc., CSSi, Deep 6 AI Inc., Elligo Health Research, Inc., Evidation Health, Inc., Formation Bio, Inc., HCL Technologies Limited, HealthMatch Pty. Ltd., ICON plc, Inato, Inspirata, Inc., International Business Machines Corporation, IQVIA Holdings Inc., Lokavant, Inc., Medable Inc., Medidata by Dassault Systèmes SE, Medocity, Inc., Microsoft Corporation, Parexel International Corporation, PatientWing, Science 37, Inc. by eMed, LLC, Science4Tech Solutions, S.L., Sumatosoft LLC, Syneos Health, Inc., Teckro, Inc., Tempus Labs, Inc., Trialbee AB, TrialHub by FindMeCure Ltd., Veeva Systems Inc., and Worldwide Clinical Trials.

Market Segmentation & Coverage

This research report categorizes the Clinical Trials Matching Software Market to forecast the revenues and analyze trends in each of the following sub-markets:
  • Functionality
    • Analytics & Reporting
    • Compliance Tracking
    • Data Management
    • Patient Matching
  • Deployment
    • Cloud & Web Based
    • On-Premise
  • End-Use
    • CROs
    • Medical Device Firms
    • Pharmaceuticals & Biotechnology Companies
  • Region
    • Americas
      • Argentina
      • Brazil
      • Canada
      • Mexico
      • United States
        • California
        • Florida
        • Illinois
        • New York
        • Ohio
        • Pennsylvania
        • Texas
    • Asia-Pacific
      • Australia
      • China
      • India
      • Indonesia
      • Japan
      • Malaysia
      • Philippines
      • Singapore
      • South Korea
      • Taiwan
      • Thailand
      • Vietnam
    • Europe, Middle East & Africa
      • Denmark
      • Egypt
      • Finland
      • France
      • Germany
      • Israel
      • Italy
      • Netherlands
      • Nigeria
      • Norway
      • Poland
      • Qatar
      • Russia
      • Saudi Arabia
      • South Africa
      • Spain
      • Sweden
      • Switzerland
      • Turkey
      • United Arab Emirates
      • United Kingdom

The report provides a detailed overview of the market, exploring several key areas:

  1. Market Penetration: A thorough examination of the current market landscape, featuring comprehensive data from leading industry players and analyzing their reach and influence across the market.
  2. Market Development: The report identifies significant growth opportunities in emerging markets and assesses expansion potential within established segments, providing a roadmap for future development.
  3. Market Diversification: In-depth coverage of recent product launches, untapped geographic regions, significant industry developments, and strategic investments reshaping the market landscape.
  4. Competitive Assessment & Intelligence: A detailed analysis of the competitive landscape, covering market share, business strategies, product portfolios, certifications, regulatory approvals, patent trends, technological advancements, and innovations in manufacturing by key market players.
  5. Product Development & Innovation: Insight into groundbreaking technologies, R&D efforts, and product innovations that will drive the market in future.

Additionally, the report addresses key questions to assist stakeholders in making informed decisions:

  1. What is the current size of the market, and how is it expected to grow?
  2. Which products, segments, and regions present the most attractive investment opportunities?
  3. What are the prevailing technology trends and regulatory factors influencing the market?
  4. How do top vendors rank regarding market share and competitive positioning?
  5. What revenue sources and strategic opportunities guide vendors' market entry or exit decisions?

Table of Contents

1. Preface
1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Stakeholders
2. Research Methodology
2.1. Define: Research Objective
2.2. Determine: Research Design
2.3. Prepare: Research Instrument
2.4. Collect: Data Source
2.5. Analyze: Data Interpretation
2.6. Formulate: Data Verification
2.7. Publish: Research Report
2.8. Repeat: Report Update
3. Executive Summary
4. Market Overview
5. Market Insights
5.1. Market Dynamics
5.1.1. Drivers
5.1.1.1. Rising clinical trial activities and emphasis on improved patient availability
5.1.1.2. Potential demand for virtual trials and automation in the healthcare sector
5.1.2. Restraints
5.1.2.1. Concern associated with the accuracy of matching software
5.1.3. Opportunities
5.1.3.1. Vibrant startup ecosystem and significant funding for software developments
5.1.3.2. High potential of clinical trial matching solutions for precision medicine clinical trials
5.1.4. Challenges
5.1.4.1. Dearth of skilled and experienced professionals and data management concerns
5.2. Market Segmentation Analysis
5.2.1. Functionality: Leveraging analytics, compliance, and patient matching for optimal efficiency and diversity
5.2.2. End-Use: Diverse scope of applications in contract research organizations for seamless data flow
5.2.3. Deployment: Increasing cloud based deployment of clinical trials matching software for scalability
5.3. Porter’s Five Forces Analysis
5.3.1. Threat of New Entrants
5.3.2. Threat of Substitutes
5.3.3. Bargaining Power of Customers
5.3.4. Bargaining Power of Suppliers
5.3.5. Industry Rivalry
5.4. PESTLE Analysis
5.4.1. Political
5.4.2. Economic
5.4.3. Social
5.4.4. Technological
5.4.5. Legal
5.4.6. Environmental
6. Clinical Trials Matching Software Market, by Functionality
6.1. Introduction
6.2. Analytics & Reporting
6.3. Compliance Tracking
6.4. Data Management
6.5. Patient Matching
7. Clinical Trials Matching Software Market, by Deployment
7.1. Introduction
7.2. Cloud & Web Based
7.3. On-Premise
8. Clinical Trials Matching Software Market, by End-Use
8.1. Introduction
8.2. CROs
8.3. Medical Device Firms
8.4. Pharmaceuticals & Biotechnology Companies
9. Americas Clinical Trials Matching Software Market
9.1. Introduction
9.2. Argentina
9.3. Brazil
9.4. Canada
9.5. Mexico
9.6. United States
10. Asia-Pacific Clinical Trials Matching Software Market
10.1. Introduction
10.2. Australia
10.3. China
10.4. India
10.5. Indonesia
10.6. Japan
10.7. Malaysia
10.8. Philippines
10.9. Singapore
10.10. South Korea
10.11. Taiwan
10.12. Thailand
10.13. Vietnam
11. Europe, Middle East & Africa Clinical Trials Matching Software Market
11.1. Introduction
11.2. Denmark
11.3. Egypt
11.4. Finland
11.5. France
11.6. Germany
11.7. Israel
11.8. Italy
11.9. Netherlands
11.10. Nigeria
11.11. Norway
11.12. Poland
11.13. Qatar
11.14. Russia
11.15. Saudi Arabia
11.16. South Africa
11.17. Spain
11.18. Sweden
11.19. Switzerland
11.20. Turkey
11.21. United Arab Emirates
11.22. United Kingdom
12. Competitive Landscape
12.1. Market Share Analysis, 2023
12.2. FPNV Positioning Matrix, 2023
12.3. Competitive Scenario Analysis
12.3.1. Massive Bio and UICC Partner to Revolutionize Cancer Research with AI-Driven Clinical Trial Matching
12.3.2. Parexel and Palantir Expand Partnership to Enhance Clinical Trial Efficiency and Patient Outcomes
12.3.3. Trialbee and Massive Bio Team Up to Enhance Oncology Clinical Trial Participation Using Advanced Patient-Matching Technology
12.3.4. Deep 6 AI and Graticule Partner to Accelerate Clinical Trial Recruitment and Enhance Public Health
12.3.5. Medable and Pluto Health Partner to Enhance Clinical Trial Matching and Patient Engagement
12.3.6. Belong.life Launches AI SaaS to Simplify Cancer Trial Matching and Boost Enrollment
12.3.7. Tempus Acquires Mpirik to Enhance Clinical Trial Matching and Drive Personalized Medicine Advancements
12.3.8. Tempus Unveils TAAP Platform to Revolutionize Clinical Trials with AI-Powered Diagnostics and Enhanced Data Analytics
12.3.9. Texas Tech University Health Sciences Center Partners with Deep 6 AI to Enhance Efficiency in Clinical Trial Matching
12.3.10. Caris Life Sciences and ConcertAI Collaborate to Revolutionize Clinical Trial Matching for Cancer Patients
12.3.11. Carebox Introduces Carebox Connect to Improve Participant Diversity
12.3.12. Pfizer and Tempus Labs Inc. Partnered to Revolutionize Clinical Trials through AI-Driven Precision Medicine
12.3.13. Paradigm Secures USD 203 million to Enhance Clinical Trials Matching Software and Streamline Recruitment Process
12.3.14. Science4Tech Secures EUR 2 Million Funding to Transform Cancer Trials with Innovative MatchTrial Platform
12.4. Strategy Analysis & Recommendation
12.4.1. Medidata by Dassault Systèmes SE
12.4.2. Science 37, Inc. by eMed, LLC
12.4.3. International Business Machines Corporation
12.4.4. AutoCruitment LLC
12.4.5. Deep 6 AI Inc.
List of Figures
FIGURE 1. CLINICAL TRIALS MATCHING SOFTWARE MARKET RESEARCH PROCESS
FIGURE 2. CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, 2023 VS 2030
FIGURE 3. GLOBAL CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, 2018-2030 (USD MILLION)
FIGURE 4. GLOBAL CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY REGION, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 5. GLOBAL CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 6. GLOBAL CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY FUNCTIONALITY, 2023 VS 2030 (%)
FIGURE 7. GLOBAL CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY FUNCTIONALITY, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 8. GLOBAL CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY DEPLOYMENT, 2023 VS 2030 (%)
FIGURE 9. GLOBAL CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY DEPLOYMENT, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 10. GLOBAL CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY END-USE, 2023 VS 2030 (%)
FIGURE 11. GLOBAL CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY END-USE, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 12. AMERICAS CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
FIGURE 13. AMERICAS CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 14. UNITED STATES CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY STATE, 2023 VS 2030 (%)
FIGURE 15. UNITED STATES CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY STATE, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 16. ASIA-PACIFIC CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
FIGURE 17. ASIA-PACIFIC CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 18. EUROPE, MIDDLE EAST & AFRICA CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
FIGURE 19. EUROPE, MIDDLE EAST & AFRICA CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 20. CLINICAL TRIALS MATCHING SOFTWARE MARKET SHARE, BY KEY PLAYER, 2023
FIGURE 21. CLINICAL TRIALS MATCHING SOFTWARE MARKET, FPNV POSITIONING MATRIX, 2023
List of Tables
TABLE 1. CLINICAL TRIALS MATCHING SOFTWARE MARKET SEGMENTATION & COVERAGE
TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2023
TABLE 3. GLOBAL CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, 2018-2030 (USD MILLION)
TABLE 4. GLOBAL CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY REGION, 2018-2030 (USD MILLION)
TABLE 5. GLOBAL CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
TABLE 6. CLINICAL TRIALS MATCHING SOFTWARE MARKET DYNAMICS
TABLE 7. GLOBAL CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY FUNCTIONALITY, 2018-2030 (USD MILLION)
TABLE 8. GLOBAL CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY ANALYTICS & REPORTING, BY REGION, 2018-2030 (USD MILLION)
TABLE 9. GLOBAL CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY COMPLIANCE TRACKING, BY REGION, 2018-2030 (USD MILLION)
TABLE 10. GLOBAL CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY DATA MANAGEMENT, BY REGION, 2018-2030 (USD MILLION)
TABLE 11. GLOBAL CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY PATIENT MATCHING, BY REGION, 2018-2030 (USD MILLION)
TABLE 12. GLOBAL CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 13. GLOBAL CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY CLOUD & WEB BASED, BY REGION, 2018-2030 (USD MILLION)
TABLE 14. GLOBAL CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY ON-PREMISE, BY REGION, 2018-2030 (USD MILLION)
TABLE 15. GLOBAL CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
TABLE 16. GLOBAL CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY CROS, BY REGION, 2018-2030 (USD MILLION)
TABLE 17. GLOBAL CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY MEDICAL DEVICE FIRMS, BY REGION, 2018-2030 (USD MILLION)
TABLE 18. GLOBAL CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY PHARMACEUTICALS & BIOTECHNOLOGY COMPANIES, BY REGION, 2018-2030 (USD MILLION)
TABLE 19. AMERICAS CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY FUNCTIONALITY, 2018-2030 (USD MILLION)
TABLE 20. AMERICAS CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 21. AMERICAS CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
TABLE 22. AMERICAS CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
TABLE 23. ARGENTINA CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY FUNCTIONALITY, 2018-2030 (USD MILLION)
TABLE 24. ARGENTINA CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 25. ARGENTINA CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
TABLE 26. BRAZIL CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY FUNCTIONALITY, 2018-2030 (USD MILLION)
TABLE 27. BRAZIL CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 28. BRAZIL CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
TABLE 29. CANADA CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY FUNCTIONALITY, 2018-2030 (USD MILLION)
TABLE 30. CANADA CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 31. CANADA CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
TABLE 32. MEXICO CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY FUNCTIONALITY, 2018-2030 (USD MILLION)
TABLE 33. MEXICO CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 34. MEXICO CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
TABLE 35. UNITED STATES CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY FUNCTIONALITY, 2018-2030 (USD MILLION)
TABLE 36. UNITED STATES CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 37. UNITED STATES CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
TABLE 38. UNITED STATES CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY STATE, 2018-2030 (USD MILLION)
TABLE 39. ASIA-PACIFIC CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY FUNCTIONALITY, 2018-2030 (USD MILLION)
TABLE 40. ASIA-PACIFIC CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 41. ASIA-PACIFIC CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
TABLE 42. ASIA-PACIFIC CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
TABLE 43. AUSTRALIA CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY FUNCTIONALITY, 2018-2030 (USD MILLION)
TABLE 44. AUSTRALIA CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 45. AUSTRALIA CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
TABLE 46. CHINA CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY FUNCTIONALITY, 2018-2030 (USD MILLION)
TABLE 47. CHINA CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 48. CHINA CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
TABLE 49. INDIA CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY FUNCTIONALITY, 2018-2030 (USD MILLION)
TABLE 50. INDIA CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 51. INDIA CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
TABLE 52. INDONESIA CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY FUNCTIONALITY, 2018-2030 (USD MILLION)
TABLE 53. INDONESIA CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 54. INDONESIA CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
TABLE 55. JAPAN CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY FUNCTIONALITY, 2018-2030 (USD MILLION)
TABLE 56. JAPAN CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 57. JAPAN CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
TABLE 58. MALAYSIA CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY FUNCTIONALITY, 2018-2030 (USD MILLION)
TABLE 59. MALAYSIA CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 60. MALAYSIA CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
TABLE 61. PHILIPPINES CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY FUNCTIONALITY, 2018-2030 (USD MILLION)
TABLE 62. PHILIPPINES CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 63. PHILIPPINES CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
TABLE 64. SINGAPORE CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY FUNCTIONALITY, 2018-2030 (USD MILLION)
TABLE 65. SINGAPORE CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 66. SINGAPORE CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
TABLE 67. SOUTH KOREA CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY FUNCTIONALITY, 2018-2030 (USD MILLION)
TABLE 68. SOUTH KOREA CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 69. SOUTH KOREA CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
TABLE 70. TAIWAN CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY FUNCTIONALITY, 2018-2030 (USD MILLION)
TABLE 71. TAIWAN CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 72. TAIWAN CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
TABLE 73. THAILAND CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY FUNCTIONALITY, 2018-2030 (USD MILLION)
TABLE 74. THAILAND CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 75. THAILAND CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
TABLE 76. VIETNAM CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY FUNCTIONALITY, 2018-2030 (USD MILLION)
TABLE 77. VIETNAM CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 78. VIETNAM CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
TABLE 79. EUROPE, MIDDLE EAST & AFRICA CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY FUNCTIONALITY, 2018-2030 (USD MILLION)
TABLE 80. EUROPE, MIDDLE EAST & AFRICA CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 81. EUROPE, MIDDLE EAST & AFRICA CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
TABLE 82. EUROPE, MIDDLE EAST & AFRICA CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
TABLE 83. DENMARK CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY FUNCTIONALITY, 2018-2030 (USD MILLION)
TABLE 84. DENMARK CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 85. DENMARK CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
TABLE 86. EGYPT CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY FUNCTIONALITY, 2018-2030 (USD MILLION)
TABLE 87. EGYPT CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 88. EGYPT CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
TABLE 89. FINLAND CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY FUNCTIONALITY, 2018-2030 (USD MILLION)
TABLE 90. FINLAND CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 91. FINLAND CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
TABLE 92. FRANCE CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY FUNCTIONALITY, 2018-2030 (USD MILLION)
TABLE 93. FRANCE CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 94. FRANCE CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
TABLE 95. GERMANY CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY FUNCTIONALITY, 2018-2030 (USD MILLION)
TABLE 96. GERMANY CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 97. GERMANY CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
TABLE 98. ISRAEL CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY FUNCTIONALITY, 2018-2030 (USD MILLION)
TABLE 99. ISRAEL CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 100. ISRAEL CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
TABLE 101. ITALY CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY FUNCTIONALITY, 2018-2030 (USD MILLION)
TABLE 102. ITALY CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 103. ITALY CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
TABLE 104. NETHERLANDS CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY FUNCTIONALITY, 2018-2030 (USD MILLION)
TABLE 105. NETHERLANDS CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 106. NETHERLANDS CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
TABLE 107. NIGERIA CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY FUNCTIONALITY, 2018-2030 (USD MILLION)
TABLE 108. NIGERIA CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 109. NIGERIA CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
TABLE 110. NORWAY CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY FUNCTIONALITY, 2018-2030 (USD MILLION)
TABLE 111. NORWAY CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 112. NORWAY CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
TABLE 113. POLAND CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY FUNCTIONALITY, 2018-2030 (USD MILLION)
TABLE 114. POLAND CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 115. POLAND CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
TABLE 116. QATAR CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY FUNCTIONALITY, 2018-2030 (USD MILLION)
TABLE 117. QATAR CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 118. QATAR CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
TABLE 119. RUSSIA CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY FUNCTIONALITY, 2018-2030 (USD MILLION)
TABLE 120. RUSSIA CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 121. RUSSIA CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
TABLE 122. SAUDI ARABIA CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY FUNCTIONALITY, 2018-2030 (USD MILLION)
TABLE 123. SAUDI ARABIA CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 124. SAUDI ARABIA CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
TABLE 125. SOUTH AFRICA CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY FUNCTIONALITY, 2018-2030 (USD MILLION)
TABLE 126. SOUTH AFRICA CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 127. SOUTH AFRICA CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
TABLE 128. SPAIN CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY FUNCTIONALITY, 2018-2030 (USD MILLION)
TABLE 129. SPAIN CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 130. SPAIN CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
TABLE 131. SWEDEN CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY FUNCTIONALITY, 2018-2030 (USD MILLION)
TABLE 132. SWEDEN CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 133. SWEDEN CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
TABLE 134. SWITZERLAND CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY FUNCTIONALITY, 2018-2030 (USD MILLION)
TABLE 135. SWITZERLAND CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 136. SWITZERLAND CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
TABLE 137. TURKEY CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY FUNCTIONALITY, 2018-2030 (USD MILLION)
TABLE 138. TURKEY CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 139. TURKEY CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
TABLE 140. UNITED ARAB EMIRATES CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY FUNCTIONALITY, 2018-2030 (USD MILLION)
TABLE 141. UNITED ARAB EMIRATES CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 142. UNITED ARAB EMIRATES CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
TABLE 143. UNITED KINGDOM CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY FUNCTIONALITY, 2018-2030 (USD MILLION)
TABLE 144. UNITED KINGDOM CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 145. UNITED KINGDOM CLINICAL TRIALS MATCHING SOFTWARE MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
TABLE 146. CLINICAL TRIALS MATCHING SOFTWARE MARKET SHARE, BY KEY PLAYER, 2023
TABLE 147. CLINICAL TRIALS MATCHING SOFTWARE MARKET, FPNV POSITIONING MATRIX, 2023

Companies Mentioned

The leading players in the Clinical Trials Matching Software market, which are profiled in this report, include:
  • Advarra, Inc.
  • Antidote Technologies, Inc.
  • AQ, Inc
  • AutoCruitment LLC
  • BBK Worldwide, LLC by Publicis Health company
  • BEKhealth Corporation
  • Belongtail Ltd.
  • Carebox Healthcare Solutions, Inc.
  • Clara Health by M&B Sciences Inc:
  • Clariness GmbH
  • Clario
  • ClinicalConnection, Inc.
  • CSSi
  • Deep 6 AI Inc.
  • Elligo Health Research, Inc.
  • Evidation Health, Inc.
  • Formation Bio, Inc.
  • HCL Technologies Limited
  • HealthMatch Pty. Ltd.
  • ICON plc
  • Inato
  • Inspirata, Inc.
  • International Business Machines Corporation
  • IQVIA Holdings Inc.
  • Lokavant, Inc.
  • Medable Inc.
  • Medidata by Dassault Systèmes SE
  • Medocity, Inc.
  • Microsoft Corporation
  • Parexel International Corporation
  • PatientWing
  • Science 37, Inc. by eMed, LLC
  • Science4Tech Solutions, S.L.
  • Sumatosoft LLC
  • Syneos Health, Inc.
  • Teckro, Inc.
  • Tempus Labs, Inc.
  • Trialbee AB
  • TrialHub by FindMeCure Ltd.
  • Veeva Systems Inc.
  • Worldwide Clinical Trials

Methodology

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Table Information