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市场调查报告书
商品编码
1600614

临床试验配对软体市场：按功能、部署和应用划分 - 2025-2030 年全球预测

Clinical Trials Matching Software Market by Functionality (Analytics & Reporting, Compliance Tracking, Data Management), Deployment (Cloud & Web Based, On-Premise), End-Use - Global Forecast 2025-2030
出版日期: | 出版商: 360iResearch | 英文 187 Pages | 商品交期: 最快1-2个工作天内

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2023年临床试验配对软体市场价值为3.422亿美元，预计到2024年将达到3.8689亿美元，复合年增长率为13.54%，预计到2030年将达到8.3256亿美元。

临床试验配对软体是一款专门建构的数位工具，旨在简化和增强符合条件的患者和临床试验的配对过程。该软体的主要目的是利用演算法和资料库根据特定的纳入/排除标准有效地将患者资料与适当的临床试验相匹配，从而最大限度地减少手动流程的时间和精力。这种软体的需求源于与临床试验相关的复杂性，其中患者招募仍然是最大的挑战之一，并且往往会减慢药物开发过程。该软体被多个部门使用，包括医疗保健提供者、製药公司、研究机构和寻求适当临床试验的患者。一系列最终用途包括希望加速和优化临床试验招募和患者参与的医院、临床研究组织 (CRO) 和生物製药公司。

主要市场统计
基准年[2023] 3.422 亿美元
预测年份 [2024] 38689万美元
预测年份 [2030] 83256万美元
复合年增长率（%） 13.54%

临床试验匹配软体市场受到生物製药研发投资增加、个人化医疗需求不断增长以及数位健康解决方案日益采用的显着影响。机会比比皆是，包括扩展软体功能以整合人工智慧和机器学习、进一步完善患者与临床实验的匹配以及改进预测分析。此外，我们可以扩展我们的服务并与患者电子健康记录（EHR）集成，以捕获更多参与者资料并提高临床试验匹配的准确性。然而，该软体面临一些限制，例如资料隐私问题、医疗资料碎片化以及由于监管差异而导致的区域采用率不同。

为了克服这些挑战，创新将专注于开发更强大的资料加密方法，培养与电子病历提供者的伙伴关係，以及增强使用者介面以改善相关人员的教育和参与。市场的本质是高度动态的，并受到技术进步和监管转变的推动。主要建议包括投资扩充性以适应不同的医疗保健环境，以及开发多语言支援以扩大用户范围。此外，利用区块链技术确保安全的资料交换和透明度可以解决资料完整性问题并提高临床试验配对过程中的竞争力。

市场动态：揭示快速发展的临床试验匹配软体市场的关键市场洞察

供需的动态交互作用正在改变临床试验匹配软体市场。透过了解这些不断变化的市场动态，公司可以准备好做出明智的投资决策、完善策略决策并抓住新的商机。全面了解这些趋势可以帮助企业降低政治、地理、技术、社会和经济领域的风险，同时消费行为及其对製造成本的影响以及对采购趋势的影响。

  • 市场驱动因素
    • 活性化临床试验活动并专注于提高患者便利性
    • 医疗保健领域对虚拟临床试验和自动化的潜在需求
  • 市场限制因素
    • 对配对软体准确性的担忧
  • 市场机会
    • 充满活力的新兴企业生态系统和用于软体开发的大量资金
    • 临床试验配对解决方案在精准医学临床试验中的巨大潜力
  • 市场挑战
    • 缺乏熟练且经验丰富的专业人员以及对资料管理的担忧

波特五力：驾驭临床试验匹配软体市场的策略工具

波特的五力框架是理解市场竞争格局的重要工具。波特的五力框架为评估公司的竞争地位和探索策略机会提供了清晰的方法。该框架可帮助公司评估市场动态并确定新业务的盈利。这些见解使公司能够利用自己的优势，解决弱点并避免潜在的挑战，从而确保更强大的市场地位。

PESTLE分析：了解临床试验配对软体市场的外部影响

外部宏观环境因素在塑造临床试验匹配软体市场的绩效动态方面发挥着至关重要的作用。对政治、经济、社会、技术、法律和环境因素的分析提供了应对这些影响所需的资讯。透过调查 PESTLE 因素，公司可以更了解潜在的风险和机会。这种分析可以帮助公司预测法规、消费者偏好和经济趋势的变化，并帮助他们做出积极主动的决策。

市场占有率分析 了解临床试验配对软体市场的竞争格局

临床试验配对软体市场的详细市场占有率分析可以对供应商绩效进行全面评估。公司可以透过比较收益、客户群和成长率等关键指标来揭示其竞争地位。该分析揭示了市场集中、分散和整合的趋势，为供应商提供了製定策略决策所需的洞察力，使他们能够在日益激烈的竞争中占有一席之地。

FPNV 定位矩阵临床试验配对软体市场供应商的绩效评估

FPNV 定位矩阵是评估临床试验配对软体市场供应商的关键工具。此矩阵允许业务组织根据供应商的商务策略和产品满意度评估供应商，从而做出符合其目标的明智决策。这四个象限使您能够清晰、准确地划分供应商，并确定最能满足您的策略目标的合作伙伴和解决方案。

策略分析和建议绘製临床试验匹配软体市场的成功之路

对于旨在加强其在全球市场的影响力的公司来说，对临床试验匹配软体市场的策略分析至关重要。透过审查关键资源、能力和绩效指标，公司可以识别成长机会并努力改进。这种方法使您能够克服竞争环境中的挑战，利用新的商机，并取得长期成功。

本报告对市场进行了全面分析，涵盖关键重点领域：

1. 市场渗透率：对当前市场环境的详细审查、主要企业的广泛资料、对其在市场中的影响力和整体影响力的评估。

2. 市场开拓：辨识新兴市场的成长机会，评估现有领域的扩张潜力，并提供未来成长的策略蓝图。

3. 市场多元化：分析近期产品发布、开拓地区、关键产业进展、塑造市场的策略投资。

4. 竞争评估与情报：彻底分析竞争格局，检验市场占有率、业务策略、产品系列、认证、监管核准、专利趋势、主要企业的技术进步等。

5. 产品开发与创新：重点在于有望推动未来市场成长的最尖端科技、研发活动和产品创新。

我们也回答重要问题，以帮助相关人员做出明智的决策：

1.目前的市场规模和未来的成长预测是多少？

2. 哪些产品、区隔市场和地区提供最佳投资机会？

3.塑造市场的主要技术趋势和监管影响是什么？

4.主要厂商的市场占有率和竞争地位如何？

5. 推动供应商市场进入和退出策略的收益来源和策略机会是什么？

目录

第一章 前言

第二章调查方法

第三章执行摘要

第四章市场概况

第五章市场洞察

  • 市场动态
    • 促进因素
      • 增加临床试验活动并专注于提高患者可用性
      • 医疗保健领域对虚拟测试和自动化的潜在需求
    • 抑制因素
      • 对配对软体准确性的担忧
    • 机会
      • 充满活力的Start-Ups生态系统和用于软体开发的大量资金
      • 精准医学临床试验临床试验配对解决方案的巨大潜力
    • 任务
      • 缺乏熟练且经验丰富的专业人员以及对资料管理的担忧
  • 市场区隔分析
    • 功能：利用分析、合规性和患者匹配来优化效率和多功能性
    • 最终用途：合约研究机构的各种应用，以实现无缝资料流
    • 部署：增加临床试验匹配软体的云端基础部署以实现可扩展性
  • 波特五力分析
  • PESTEL分析
    • 政治的
    • 经济
    • 社群
    • 技术的
    • 合法地
    • 环境

第六章依功能分類的临床试验配对软体市场

  • 分析和报告
  • 合规追踪
  • 资料管理
  • 患者匹配

第七章 临床试验配对软体市场：依发展划分

  • 基于云端和网路
  • 本地

第八章临床试验配对软体市场：依最终用途

  • CRO
  • 医疗设备公司
  • 製药和生物技术公司

第九章美洲临床试验匹配软体市场

  • 阿根廷
  • 巴西
  • 加拿大
  • 墨西哥
  • 美国

第十章亚太临床试验配对软体市场

  • 澳洲
  • 中国
  • 印度
  • 印尼
  • 日本
  • 马来西亚
  • 菲律宾
  • 新加坡
  • 韩国
  • 台湾
  • 泰国
  • 越南

第十一章欧洲、中东和非洲临床试验配对软体市场

  • 丹麦
  • 埃及
  • 芬兰
  • 法国
  • 德国
  • 以色列
  • 义大利
  • 荷兰
  • 奈及利亚
  • 挪威
  • 波兰
  • 卡达
  • 俄罗斯
  • 沙乌地阿拉伯
  • 南非
  • 西班牙
  • 瑞典
  • 瑞士
  • 土耳其
  • 阿拉伯聯合大公国
  • 英国

第十二章竞争格局

  • 2023 年市场占有率分析
  • FPNV 定位矩阵，2023
  • 竞争情境分析
    • Massive Bio 和 UICC 合作透过人工智慧驱动的临床试验配对彻底改变癌症研究
    • PAREXEL 和 Palantir 扩大合作伙伴关係，以提高临床试验效率和病患结果
    • Trialbee 和 Massive Bio 合作，利用先进的病患配对技术增强肿瘤临床试验的参与度
    • Deep 6 AI 与 Graticule 合作加速临床试验招募并加强公共卫生
    • Medable 和 Pluto Health 合作增强临床试验配对和病人参与
    • Belong.life推出AI SaaS以简化癌症临床试验配对并加速註册
    • Tempus 收购 Mpirik 以增强临床试验配对并推动个人化医疗的进步
    • Tempus 推出 TAAP 平台，透过人工智慧驱动的诊断和增强的资料分析彻底改变临床试验
    • 德克萨斯理工大学健康科学中心与 Deep 6 AI 合作提高临床试验配对效率
    • Caris Life Sciences 和 ConcertAI 合作彻底改变癌症患者的临床试验匹配
    • Carebox 推出 Carebox Connect 以提高参与者多样性
    • 辉瑞和 Tempus Labs 合作，利用人工智慧驱动的精准医疗彻底改变临床试验
    • Paradigm 获得 2.03 亿美元融资，用于增强临床试验配对软体并简化招募流程
    • Science4Tech 获得 200 万欧元资金，透过创新的 MatchTrial 平台转变癌症临床试验
  • 战略分析和建议
    • 达梭系统 SE 的 Medidata
    • Science 37, Inc.（由 eMed, LLC 提供）
    • 国际商业机器公司
    • 自动招聘有限责任公司
    • 深6AI有限公司

公司名单

  • 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 Systemes SE
  • Medocity, Inc.
  • Microsoft Corporation
  • Parexel International Corporation
  • PatientWing
  • Science 37, Inc. by eMed, LLC
  • Science4Tech Solutions, SL
  • Sumatosoft LLC
  • Syneos Health, Inc.
  • Teckro, Inc.
  • Tempus Labs, Inc.
  • Trialbee AB
  • TrialHub by FindMeCure Ltd.
  • Veeva Systems Inc.
  • Worldwide Clinical Trials
Product Code: MRR-8C74ADFBFDF8

The Clinical Trials Matching Software Market was valued at USD 342.20 million in 2023, expected to reach USD 386.89 million in 2024, and is projected to grow at a CAGR of 13.54%, to USD 832.56 million by 2030.

Clinical trials matching software is a specialized digital tool designed to streamline and enhance the process of pairing eligible patients with clinical trials. The primary purpose of this software is to minimize the time and resources spent on manual processes by leveraging algorithms and databases that efficiently match patient profiles with suitable trials based on specific inclusion and exclusion criteria. Its necessity is born from the complexities involved in clinical trials, where patient recruitment remains one of the foremost challenges, often delaying the drug development process. The software finds application across healthcare providers, pharmaceutical companies, research institutions, and patients seeking appropriate clinical trials. The end-use scope prominently includes hospitals, clinical research organizations (CROs), and biopharma companies aiming to expedite and optimize trial recruitment and patient participation.

KEY MARKET STATISTICS
Base Year [2023] USD 342.20 million
Estimated Year [2024] USD 386.89 million
Forecast Year [2030] USD 832.56 million
CAGR (%) 13.54%

The market for clinical trials matching software is significantly influenced by the increasing R&D investments in biopharma, rising demand for personalized medicine, and the growing prevalence of digital health solutions. Opportunities abound in expanding software capabilities to incorporate AI and machine learning, further refining patient-trial matches and improving predictive analytics. Furthermore, expanding services and integration with patient electronic health records (EHR) could capture more participant data, enhancing accuracy in trial matching. However, the software faces limitations such as data privacy concerns, the fragmented nature of healthcare data, and varying adoption rates across regions due to differing regulations.

To overcome these challenges, innovation could focus on developing more robust data encryption methods, fostering partnerships with EHR providers, and enhancing user interfaces to improve stakeholder education and engagement. The market nature is highly dynamic, driven by technological advancements and regulatory shifts. Key recommendations include investing in scalability to adapt to varying healthcare environments and developing multilingual support to broaden user reach. Exploring blockchain technology for secured data exchange and transparency could also offer a competitive edge, addressing data integrity concerns in clinical trials matching processes.

Market Dynamics: Unveiling Key Market Insights in the Rapidly Evolving Clinical Trials Matching Software Market

The Clinical Trials Matching Software Market is undergoing transformative changes driven by a dynamic interplay of supply and demand factors. Understanding these evolving market dynamics prepares business organizations to make informed investment decisions, refine strategic decisions, and seize new opportunities. By gaining a comprehensive view of these trends, business organizations can mitigate various risks across political, geographic, technical, social, and economic domains while also gaining a clearer understanding of consumer behavior and its impact on manufacturing costs and purchasing trends.

  • 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

Porter's Five Forces: A Strategic Tool for Navigating the Clinical Trials Matching Software Market

Porter's five forces framework is a critical tool for understanding the competitive landscape of the Clinical Trials Matching Software Market. It offers business organizations with a clear methodology for evaluating their competitive positioning and exploring strategic opportunities. This framework helps businesses assess the power dynamics within the market and determine the profitability of new ventures. With these insights, business organizations can leverage their strengths, address weaknesses, and avoid potential challenges, ensuring a more resilient market positioning.

PESTLE Analysis: Navigating External Influences in the Clinical Trials Matching Software Market

External macro-environmental factors play a pivotal role in shaping the performance dynamics of the Clinical Trials Matching Software Market. Political, Economic, Social, Technological, Legal, and Environmental factors analysis provides the necessary information to navigate these influences. By examining PESTLE factors, businesses can better understand potential risks and opportunities. This analysis enables business organizations to anticipate changes in regulations, consumer preferences, and economic trends, ensuring they are prepared to make proactive, forward-thinking decisions.

Market Share Analysis: Understanding the Competitive Landscape in the Clinical Trials Matching Software Market

A detailed market share analysis in the Clinical Trials Matching Software Market provides a comprehensive assessment of vendors' performance. Companies can identify their competitive positioning by comparing key metrics, including revenue, customer base, and growth rates. This analysis highlights market concentration, fragmentation, and trends in consolidation, offering vendors the insights required to make strategic decisions that enhance their position in an increasingly competitive landscape.

FPNV Positioning Matrix: Evaluating Vendors' Performance in the Clinical Trials Matching Software Market

The Forefront, Pathfinder, Niche, Vital (FPNV) Positioning Matrix is a critical tool for evaluating vendors within the Clinical Trials Matching Software Market. This matrix enables business organizations to make well-informed decisions that align with their goals by assessing vendors based on their business strategy and product satisfaction. The four quadrants provide a clear and precise segmentation of vendors, helping users identify the right partners and solutions that best fit their strategic objectives.

Strategy Analysis & Recommendation: Charting a Path to Success in the Clinical Trials Matching Software Market

A strategic analysis of the Clinical Trials Matching Software Market is essential for businesses looking to strengthen their global market presence. By reviewing key resources, capabilities, and performance indicators, business organizations can identify growth opportunities and work toward improvement. This approach helps businesses navigate challenges in the competitive landscape and ensures they are well-positioned to capitalize on newer opportunities and drive 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 Systemes 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:

  • Based on Functionality, market is studied across Analytics & Reporting, Compliance Tracking, Data Management, and Patient Matching.
  • Based on Deployment, market is studied across Cloud & Web Based and On-Premise.
  • Based on End-Use, market is studied across CROs, Medical Device Firms, and Pharmaceuticals & Biotechnology Companies.
  • Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.

The report offers a comprehensive analysis of the market, covering key focus areas:

1. Market Penetration: A detailed review of the current market environment, including extensive data from top industry players, evaluating their market reach and overall influence.

2. Market Development: Identifies growth opportunities in emerging markets and assesses expansion potential in established sectors, providing a strategic roadmap for future growth.

3. Market Diversification: Analyzes recent product launches, untapped geographic regions, major industry advancements, and strategic investments reshaping the market.

4. Competitive Assessment & Intelligence: Provides a thorough analysis of the competitive landscape, examining market share, business strategies, product portfolios, certifications, regulatory approvals, patent trends, and technological advancements of key players.

5. Product Development & Innovation: Highlights cutting-edge technologies, R&D activities, and product innovations expected to drive future market growth.

The report also answers critical questions to aid stakeholders in making informed decisions:

1. What is the current market size, and what is the forecasted growth?

2. Which products, segments, and regions offer the best investment opportunities?

3. What are the key technology trends and regulatory influences shaping the market?

4. How do leading vendors rank in terms of market share and competitive positioning?

5. What revenue sources and strategic opportunities drive vendors' market entry or exit strategies?

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 Systemes 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.

Companies Mentioned

  • 1. Advarra, Inc.
  • 2. Antidote Technologies, Inc.
  • 3. AQ, Inc
  • 4. AutoCruitment LLC
  • 5. BBK Worldwide, LLC by Publicis Health company
  • 6. BEKhealth Corporation
  • 7. Belongtail Ltd.
  • 8. Carebox Healthcare Solutions, Inc.
  • 9. Clara Health by M&B Sciences Inc:
  • 10. Clariness GmbH
  • 11. Clario
  • 12. ClinicalConnection, Inc.
  • 13. CSSi
  • 14. Deep 6 AI Inc.
  • 15. Elligo Health Research, Inc.
  • 16. Evidation Health, Inc.
  • 17. Formation Bio, Inc.
  • 18. HCL Technologies Limited
  • 19. HealthMatch Pty. Ltd.
  • 20. ICON plc
  • 21. Inato
  • 22. Inspirata, Inc.
  • 23. International Business Machines Corporation
  • 24. IQVIA Holdings Inc.
  • 25. Lokavant, Inc.
  • 26. Medable Inc.
  • 27. Medidata by Dassault Systemes SE
  • 28. Medocity, Inc.
  • 29. Microsoft Corporation
  • 30. Parexel International Corporation
  • 31. PatientWing
  • 32. Science 37, Inc. by eMed, LLC
  • 33. Science4Tech Solutions, S.L.
  • 34. Sumatosoft LLC
  • 35. Syneos Health, Inc.
  • 36. Teckro, Inc.
  • 37. Tempus Labs, Inc.
  • 38. Trialbee AB
  • 39. TrialHub by FindMeCure Ltd.
  • 40. Veeva Systems Inc.
  • 41. Worldwide Clinical Trials

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