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市場調查報告書
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1600614

臨床試驗配對軟體市場：按功能、部署和應用分類 - 2025-2030 年全球預測

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個工作天內

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2023年臨床試驗配對軟體市場價值為3.422億美元，預計到2024年將達到3.8689億美元，複合年成長率為13.54%，預計到2030年將達到8.3256億美元。

臨床試驗配對軟體是一款專門建構的數位工具，旨在簡化和增強符合條件的患者和臨床試驗的配對過程。該軟體的主要目的是利用演算法和資料庫根據特定的納入/排除標準有效地將患者資料與適當的臨床試驗相匹配，從而最大限度地減少手動流程的時間和精力。這種軟體的需求源於與臨床試驗相關的複雜性，其中患者招募仍然是最大的挑戰之一，並且往往會減慢藥物開發過程。該軟體被多個部門使用，包括醫療保健提供者、製藥公司、研究機構和尋求適當臨床試驗的患者。一系列最終用途包括希望加速和最佳化臨床試驗招募和患者參與的醫院、臨床研究組織 (CRO) 和生物製藥公司。

主要市場統計
基準年[2023] 3.422 億美元
預測年份 [2024] 38689萬美元
預測年份 [2030] 83256萬美元
複合年成長率（%） 13.54%

臨床試驗匹配軟體市場受到生物製藥研發投資增加、個人化醫療需求不斷成長以及數位健康解決方案日益採用的顯著影響。機會比比皆是，包括擴展軟體功能以整合人工智慧和機器學習、進一步完善患者與臨床實驗的匹配以及改進預測分析。此外，我們可以擴展我們的服務並與患者電子健康記錄（EHR）整合，以捕獲更多參與者資料並提高臨床試驗匹配的準確性。然而，該軟體面臨一些限制，例如資料隱私問題、醫療資料碎片化以及由於監管差異而導致的區域採用率不同。

為了克服這些挑戰，創新將專注於開發更強大的資料加密方法，培養與電子病歷提供者的夥伴關係，以及增強使用者介面以改善相關人員的教育和參與。市場的本質是高度動態的，並受到技術進步和監管轉變的推動。主要建議包括投資擴充性以適應不同的醫療保健環境，以及開發多語言支援以擴大用戶範圍。此外，利用區塊鏈技術確保安全的資料交換和透明度可以解決資料完整性問題並提高臨床試驗配對過程中的競爭力。

市場動態：揭示快速發展的臨床試驗匹配軟體市場的關鍵市場洞察

供需的動態交互作用正在改變臨床試驗匹配軟體市場。透過了解這些不斷變化的市場動態，公司可以準備好做出明智的投資決策、完善策略決策並抓住新的商機。全面了解這些趨勢可以幫助企業降低政治、地理、技術、社會和經濟領域的風險，同時消費行為及其對製造成本的影響以及對採購趨勢的影響。

  • 市場促進因素
    • 活性化臨床試驗活動並專注於提高患者便利性
    • 醫療保健領域對虛擬臨床試驗和自動化的潛在需求
  • 市場限制因素
    • 對配對軟體準確性的擔憂
  • 市場機會
    • 充滿活力的新興企業生態系統和用於軟體開發的大量資金
    • 臨床試驗配對解決方案在精準醫學臨床試驗中的巨大潛力
  • 市場挑戰
    • 缺乏熟練且經驗豐富的專業人員以及對資料管理的擔憂

波特五力：駕馭臨床試驗匹配軟體市場的策略工具

波特的五力框架是理解市場競爭格局的重要工具。波特的五力框架為評估公司的競爭地位和探索策略機會提供了清晰的方法。該框架可幫助公司評估市場動態並確定新業務的盈利。這些見解使公司能夠利用自己的優勢，解決弱點並避免潛在的挑戰，從而確保更強大的市場地位。

PESTLE分析：了解臨床試驗配對軟體市場的外部影響

外部宏觀環境因素在塑造臨床試驗匹配軟體市場的績效動態方面發揮著至關重要的作用。對政治、經濟、社會、技術、法律和環境因素的分析提供了應對這些影響所需的資訊。透過調查 PESTLE 因素，公司可以更了解潛在的風險和機會。這種分析可以幫助公司預測法規、消費者偏好和經濟趨勢的變化，並幫助他們做出積極主動的決策。

市場佔有率分析 了解臨床試驗配對軟體市場的競爭格局

臨床試驗配對軟體市場的詳細市場佔有率分析可以對供應商績效進行全面評估。公司可以透過比較收益、客戶群和成長率等關鍵指標來揭示其競爭地位。該分析揭示了市場集中、分散和整合的趨勢，為供應商提供了製定策略決策所需的洞察力，使他們能夠在日益激烈的競爭中佔有一席之地。

FPNV 定位矩陣臨床試驗配對軟體市場供應商的績效評估

FPNV 定位矩陣是評估臨床試驗配對軟體市場供應商的關鍵工具。此矩陣允許業務組織根據供應商的商務策略和產品滿意度評估供應商，從而做出符合其目標的明智決策。這四個象限使您能夠清晰、準確地分類供應商，並確定最能滿足您的策略目標的合作夥伴和解決方案。

策略分析和建議繪製臨床試驗匹配軟體市場的成功之路

對於旨在加強其在全球市場的影響力的公司來說，對臨床試驗匹配軟體市場的策略分析至關重要。透過審查關鍵資源、能力和績效指標，公司可以識別成長機會並努力改進。這種方法使您能夠克服競爭環境中的挑戰，利用新的商機，並取得長期成功。

本報告對市場進行了全面分析，涵蓋關鍵重點領域：

1. 市場滲透率：對當前市場環境的詳細審查、主要企業的廣泛資料、對其在市場中的影響力和整體影響力的評估。

2. 市場開拓：辨識新興市場的成長機會，評估現有領域的擴張潛力，並提供未來成長的策略藍圖。

3. 市場多元化：分析近期產品發布、開拓地區、關鍵產業進展、塑造市場的策略投資。

4. 競爭評估與情報：徹底分析競爭格局，檢驗市場佔有率、業務策略、產品系列、認證、監管核准、專利趨勢、主要企業的技術進步等。

5. 產品開發與創新：重點在於有望推動未來市場成長的最尖端科技、研發活動和產品創新。

我們也回答重要問題，以幫助相關人員做出明智的決策：

1.目前的市場規模和未來的成長預測是多少？

2. 哪些產品、區隔市場和地區提供最佳投資機會？

3.塑造市場的主要技術趨勢和監管影響是什麼？

4.主要廠商的市場佔有率和競爭地位如何？

5. 推動供應商市場進入和退出策略的收益來源和策略機會是什麼？

目錄

第1章 前言

第2章調查方法

第3章執行摘要

第4章市場概況

第5章市場洞察

  • 市場動態
    • 促進因素
      • 增加臨床試驗活動並專注於提高患者可用性
      • 醫療保健領域對虛擬測試和自動化的潛在需求
    • 抑制因素
      • 對配對軟體準確性的擔憂
    • 機會
      • 充滿活力的Start-Ups生態系統和用於軟體開發的大量資金
      • 精準醫學臨床試驗臨床試驗配對解決方案的巨大潛力
    • 任務
      • 缺乏熟練且經驗豐富的專業人員以及對資料管理的擔憂
  • 市場區隔分析
    • 功能：利用分析、合規性和患者匹配來最佳化效率和多功能性
    • 最終用途：合約研究機構的各種應用，以實現無縫資料流
    • 部署：增加臨床試驗匹配軟體的雲端基礎部署以實現可擴展性
  • 波特五力分析
  • PESTEL分析
    • 政治的
    • 經濟
    • 社群
    • 技術的
    • 合法地
    • 環境

第6章依功能分類的臨床試驗配對軟體市場

  • 分析和報告
  • 合規追蹤
  • 資料管理
  • 患者匹配

第7章 臨床試驗配對軟體市場：依發展分類

  • 基於雲端和網路
  • 本地

第8章臨床試驗配對軟體市場：依最終用途

  • CRO
  • 醫療設備公司
  • 製藥和生物技術公司

第9章美洲臨床試驗匹配軟體市場

  • 阿根廷
  • 巴西
  • 加拿大
  • 墨西哥
  • 美國

第10章亞太臨床試驗配對軟體市場

  • 澳洲
  • 中國
  • 印度
  • 印尼
  • 日本
  • 馬來西亞
  • 菲律賓
  • 新加坡
  • 韓國
  • 台灣
  • 泰國
  • 越南

第11章歐洲、中東和非洲臨床試驗配對軟體市場

  • 丹麥
  • 埃及
  • 芬蘭
  • 法國
  • 德國
  • 以色列
  • 義大利
  • 荷蘭
  • 奈及利亞
  • 挪威
  • 波蘭
  • 卡達
  • 俄羅斯
  • 沙烏地阿拉伯
  • 南非
  • 西班牙
  • 瑞典
  • 瑞士
  • 土耳其
  • 阿拉伯聯合大公國
  • 英國

第12章競爭格局

  • 2023 年市場佔有率分析
  • FPNV 定位矩陣，2023
  • 競爭情境分析
    • Massive Bio 和 UICC 合作透過人工智慧驅動的臨床試驗配對徹底改變癌症研究
    • PAREXEL 和 Palantir 擴大合作夥伴關係，以提高臨床試驗效率和病患結果
    • Trialbee 和 Massive Bio 合作，利用先進的病患配對技術增強腫瘤臨床試驗的參與度
    • Deep 6 AI 與 Graticule 合作加速臨床試驗招募並加強公共衛生
    • Medable 和 Pluto Health 合作增強臨床試驗配對和病人參與
    • Belong.life推出AI SaaS以簡化癌症臨床試驗配對並加速註冊
    • Tempus 收購 Mpirik 以增強臨床試驗配對並推動個人化醫療的進步
    • Tempus 推出 TAAP 平台，透過人工智慧驅動的診斷和增強的資料分析徹底改變臨床試驗
    • 德克薩斯理工大學健康科學中心與 Deep 6 AI 合作提高臨床試驗配對效率
    • Caris Life Sciences 和 ConcertAI 合作徹底改變癌症患者的臨床試驗匹配
    • Carebox 推出 Carebox Connect 以提高參與者多樣性
    • 輝瑞和 Tempus Labs 合作，利用人工智慧驅動的精準醫療徹底改變臨床試驗
    • Paradigm 獲得 2.03 億美元融資，用於增強臨床試驗配對軟體並簡化招募流程
    • Science4Tech 獲得 200 萬歐元資金，透過創新的 MatchTrial 平台轉變癌症臨床試驗
  • 戰略分析和建議
    • 達梭系統 SE 的 Medidata
    • Science 37, Inc.（由 eMed, LLC 提供）
    • 國際商業機器公司
    • 自動招聘有限責任公司
    • 深6AI有限公司

公司名單

  • 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