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市场调查报告书
商品编码
1703429

临床试验配对软体市场－全球产业规模、份额、趋势、机会及预测，依部署模式、最终用途、地区及竞争细分，2020-2030 年预测

Clinical Trials Matching Software Market - Global Industry Size, Share, Trends, Opportunity & Forecast, Segmented By Deployment Mode, By End-use, By Region & Competition, 2020-2030F
出版日期: | 出版商: TechSci Research | 英文 180 Pages | 商品交期: 2-3个工作天内

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简介目录

2024 年全球临床试验匹配软体市场价值为 1.5776 亿美元，预计在预测期内将实现强劲增长，到 2030 年的年复合成长率(CAGR) 预计为 8.55%。受临床试验方案日益复杂、精准医疗兴起以及提高病患招募流程效率的迫切需求的推动，该市场正在获得显着的发展动力。

市场概览
预测期 2026-2030
2024年市场规模 1.5776亿美元
2030年市场规模 2.5868亿美元
2025-2030 年复合年增长率 8.55%
成长最快的领域 网路和云端
最大的市场 北美洲

随着临床试验变得更加全球化和数据密集（包含来自电子健康记录 (EHR)、基因组序列和病史等不同来源的大量数据集），人们越来越依赖能够有效地将患者与适当的研究匹配的智慧软体平台。这些平台已成为克服与临床研究相关的后勤和财务挑战的重要营运工具。

病患招募仍然是临床试验中最重大的障碍之一，经常导致延误和预算超支。手动识别合格参与者通常很耗时且容易出错。临床试验匹配软体利用人工智慧 (AI) 和机器学习 (ML) 等先进技术解决了这个问题。这些系统分析结构化和非结构化患者资料，以准确识别符合复杂纳入和排除标准的候选人，从而加快招募时间并提高试验成功率。

关键市场驱动因素

个人化医疗需求不断成长

主要市场挑战

资料隐私和安全

主要市场趋势

人工智慧与机器学习的融合

目录

第一章：服务概述

  • 市场定义
  • 市场范围
    • 覆盖市场
    • 考虑学习的年限
    • 主要市场区隔

第二章：研究方法

第三章：执行摘要

第四章：顾客之声

第五章：全球临床试验配对软体市场展望

  • 市场规模和预测
    • 按价值
  • 市场占有率和预测
    • 依部署模式（基于 Web 和云端、本机）
    • 按最终用途（製药和生物技术公司、合约研究组织 (CRO)、医疗器材公司）
    • 按地区
    • 按公司分类（2024）
  • 产品市场图

第六章：北美临床试验配对软体市场展望

  • 市场规模和预测
  • 市场占有率和预测
  • 北美：国家分析
    • 美国
    • 加拿大
    • 墨西哥

第七章：欧洲临床试验配对软体市场展望

  • 市场规模和预测
  • 市场占有率和预测
  • 欧洲：国家分析
    • 德国
    • 英国
    • 法国
    • 义大利
    • 西班牙

第八章：亚太临床试验配对软体市场展望

  • 市场规模和预测
  • 市场占有率和预测
  • 亚太地区：国家分析
    • 中国
    • 日本
    • 印度
    • 澳洲
    • 韩国

第九章：南美临床试验匹配软体市场展望

  • 市场规模和预测
  • 市场占有率和预测
  • 南美洲：国家分析
    • 巴西
    • 阿根廷
    • 哥伦比亚

第 10 章：中东和非洲临床试验配对软体市场展望

  • 市场规模和预测
  • 市场占有率和预测
  • MEA：国家分析
    • 南非
    • 沙乌地阿拉伯
    • 阿联酋
    • 科威特

第 11 章：市场动态

  • 驱动程式
  • 挑战

第 12 章：市场趋势与发展

  • 近期发展
  • 併购
  • 产品发布

第 13 章：波特五力分析

  • 产业竞争
  • 新进入者的潜力
  • 供应商的力量
  • 顾客的力量
  • 替代产品的威胁

第 14 章：竞争格局

  • IBM Clinical Development
  • Antidote Technologies Inc
  • Ofni Systems Inc
  • SSS International Clinical Research GmbH
  • CLARIO
  • Advarra Inc
  • ArisGlobal LLC
  • Bsi Business Systems Integration AG
  • Teckro Ltd
  • Clinical Trials Mobile Application

第 15 章：策略建议

第16章调查会社について・免责事项

简介目录
Product Code: 16722

The Global Clinical Trials Matching Software Market was valued at USD 157.76 million in 2024 and is expected to register robust growth during the forecast period, with a projected compound annual growth rate (CAGR) of 8.55% through 2030. The market is gaining significant traction, driven by the increasing complexity of clinical trial protocols, the rise of precision medicine, and the pressing need to enhance the efficiency of patient recruitment processes.

Market Overview
Forecast Period2026-2030
Market Size 2024USD 157.76 Million
Market Size 2030USD 258.68 Million
CAGR 2025-20308.55%
Fastest Growing SegmentWeb and Cloud-based
Largest MarketNorth America

As clinical trials become more globalized and data-intensive-incorporating vast datasets from diverse sources such as electronic health records (EHRs), genomic sequences, and medical histories-there is a growing reliance on intelligent software platforms that can efficiently match patients to appropriate studies. These platforms have become a critical operational tool in overcoming the logistical and financial challenges associated with clinical research.

Patient recruitment remains one of the most significant hurdles in clinical trials, often causing delays and budget overruns. Manual identification of eligible participants is typically time-consuming and error-prone. Clinical trials matching software addresses this issue by leveraging advanced technologies such as artificial intelligence (AI) and machine learning (ML). These systems analyze both structured and unstructured patient data to accurately identify candidates that meet complex inclusion and exclusion criteria, thereby accelerating recruitment timelines and increasing trial success rates.

Key Market Drivers

Rising Demand for Personalized Medicine

Personalized medicine is transforming the healthcare landscape by enabling tailored treatment strategies based on an individual's genetic profile, lifestyle, and specific health conditions. This approach is not only enhancing patient outcomes but also reshaping the pharmaceutical research model. As the demand for personalized therapies grows, it is fueling an increase in clinical trial activity and driving the need for advanced patient-matching technologies.

Also referred to as precision medicine, this approach moves away from the traditional "one-size-fits-all" treatment model and focuses on individualized care informed by genetic, molecular, and environmental factors. It has shown particular success in oncology, where therapies are developed to target specific genetic mutations, resulting in more effective and less toxic treatments.

The implementation of personalized medicine requires in-depth genetic profiling and biomarker identification, generating vast amounts of complex data that must be analyzed and validated through clinical trials. Clinical trials matching software is pivotal in managing this data and accelerating the recruitment of appropriate trial participants, ensuring the timely execution of research and improving the likelihood of clinical success.

Key Market Challenges

Data Privacy and Security

One of the primary challenges confronting the clinical trials matching software market is the management of data privacy and security. These platforms handle highly sensitive information, including patients' medical records, genetic data, and other personal health details. Ensuring compliance with stringent data protection regulations-such as the Health Insurance Portability and Accountability Act (HIPAA) in the United States and the General Data Protection Regulation (GDPR) in the European Union-is both complex and resource-intensive.

Failure to adhere to these regulations can result in legal repercussions, reputational damage, and loss of stakeholder trust. As a result, software developers must prioritize robust security frameworks and ensure their platforms are fully compliant with global data protection standards.

Key Market Trends

Integration of Artificial Intelligence and Machine Learning

The adoption of artificial intelligence (AI) and machine learning (ML) technologies is emerging as a major trend in the clinical trials matching software market. These technologies are enhancing the ability of software platforms to process large volumes of data, identify eligible trial candidates, and predict patient responses to investigational therapies.

ML-powered tools not only improve recruitment efficiency but also support smarter trial design and real-time monitoring, which ultimately accelerates drug development timelines. As AI capabilities continue to evolve, their integration into clinical trial workflows is expected to redefine how trials are conducted, from protocol design to patient engagement and outcome analysis.

Key Market Players

  • IBM Clinical Development
  • Antidote Technologies Inc
  • Ofni Systems Inc
  • SSS International Clinical Research GmbH
  • CLARIO
  • Advarra Inc
  • ArisGlobal LLC
  • Bsi Business Systems Integration AG
  • Teckro Ltd
  • Clinical Trials Mobile Application

Report Scope:

In this report, the Global Clinical Trials Matching Software Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Clinical Trials Matching Software Market, By Deployment Mode:

  • Web & Cloud-based
  • On-premises

Clinical Trials Matching Software Market, By End-use:

  • Pharmaceutical & Biotechnology Companies
  • CROs
  • Medical Device Firms

Clinical Trials Matching Software Market, By Region:

  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • Germany
    • United Kingdom
    • France
    • Italy
    • Spain
  • Asia-Pacific
    • China
    • Japan
    • India
    • Australia
    • South Korea
  • South America
    • Brazil
    • Argentina
    • Colombia
  • Middle East & Africa
    • South Africa
    • Saudi Arabia
    • UAE
    • Kuwait

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global Clinical Trials Matching Software Market.

Available Customizations:

Global Clinical Trials Matching Software market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

  • Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Service Overview

  • 1.1. Market Definition
  • 1.2. Scope of the Market
    • 1.2.1. Markets Covered
    • 1.2.2. Years Considered for Study
    • 1.2.3. Key Market Segmentations

2. Research Methodology

  • 2.1. Objective of the Study
  • 2.2. Baseline Methodology
  • 2.3. Key Industry Partners
  • 2.4. Major Association and Secondary Sources
  • 2.5. Forecasting Methodology
  • 2.6. Data Triangulation & Validation
  • 2.7. Assumptions and Limitations

3. Executive Summary

  • 3.1. Overview of the Market
  • 3.2. Overview of Key Market Segmentations
  • 3.3. Overview of Key Market Players
  • 3.4. Overview of Key Regions/Countries
  • 3.5. Overview of Market Drivers, Challenges, Trends

4. Voice of Customer

5. Global Clinical Trials Matching Software Market Outlook

  • 5.1. Market Size & Forecast
    • 5.1.1. By Value
  • 5.2. Market Share & Forecast
    • 5.2.1. By Deployment Mode (Web & Cloud-based, On-premises)
    • 5.2.2. By End-use (Pharmaceutical & Biotechnology Companies, CROs, Medical Device Firms)
    • 5.2.3. By Region
    • 5.2.4. By Company (2024)
  • 5.3. Product Market Map

6. North America Clinical Trials Matching Software Market Outlook

  • 6.1. Market Size & Forecast
    • 6.1.1. By Value
  • 6.2. Market Share & Forecast
    • 6.2.1. By Deployment Mode
    • 6.2.2. By End-use
    • 6.2.3. By Country
  • 6.3. North America: Country Analysis
    • 6.3.1. United States Clinical Trials Matching Software Market Outlook
      • 6.3.1.1. Market Size & Forecast
        • 6.3.1.1.1. By Value
      • 6.3.1.2. Market Share & Forecast
        • 6.3.1.2.1. By Deployment Mode
        • 6.3.1.2.2. By End-use
    • 6.3.2. Canada Clinical Trials Matching Software Market Outlook
      • 6.3.2.1. Market Size & Forecast
        • 6.3.2.1.1. By Value
      • 6.3.2.2. Market Share & Forecast
        • 6.3.2.2.1. By Deployment Mode
        • 6.3.2.2.2. By End-use
    • 6.3.3. Mexico Clinical Trials Matching Software Market Outlook
      • 6.3.3.1. Market Size & Forecast
        • 6.3.3.1.1. By Value
      • 6.3.3.2. Market Share & Forecast
        • 6.3.3.2.1. By Deployment Mode
        • 6.3.3.2.2. By End-use

7. Europe Clinical Trials Matching Software Market Outlook

  • 7.1. Market Size & Forecast
    • 7.1.1. By Value
  • 7.2. Market Share & Forecast
    • 7.2.1. By Deployment Mode
    • 7.2.2. By End-use
    • 7.2.3. By Country
  • 7.3. Europe: Country Analysis
    • 7.3.1. Germany Clinical Trials Matching Software Market Outlook
      • 7.3.1.1. Market Size & Forecast
        • 7.3.1.1.1. By Value
      • 7.3.1.2. Market Share & Forecast
        • 7.3.1.2.1. By Deployment Mode
        • 7.3.1.2.2. By End-use
    • 7.3.2. United Kingdom Clinical Trials Matching Software Market Outlook
      • 7.3.2.1. Market Size & Forecast
        • 7.3.2.1.1. By Value
      • 7.3.2.2. Market Share & Forecast
        • 7.3.2.2.1. By Deployment Mode
        • 7.3.2.2.2. By End-use
    • 7.3.3. France Clinical Trials Matching Software Market Outlook
      • 7.3.3.1. Market Size & Forecast
        • 7.3.3.1.1. By Value
      • 7.3.3.2. Market Share & Forecast
        • 7.3.3.2.1. By Deployment Mode
        • 7.3.3.2.2. By End-use
    • 7.3.4. Italy Clinical Trials Matching Software Market Outlook
      • 7.3.4.1. Market Size & Forecast
        • 7.3.4.1.1. By Value
      • 7.3.4.2. Market Share & Forecast
        • 7.3.4.2.1. By Deployment Mode
        • 7.3.4.2.2. By End-use
    • 7.3.5. Spain Clinical Trials Matching Software Market Outlook
      • 7.3.5.1. Market Size & Forecast
        • 7.3.5.1.1. By Value
      • 7.3.5.2. Market Share & Forecast
        • 7.3.5.2.1. By Deployment Mode
        • 7.3.5.2.2. By End-use

8. Asia-Pacific Clinical Trials Matching Software Market Outlook

  • 8.1. Market Size & Forecast
    • 8.1.1. By Value
  • 8.2. Market Share & Forecast
    • 8.2.1. By Deployment Mode
    • 8.2.2. By End-use
    • 8.2.3. By Country
  • 8.3. Asia-Pacific: Country Analysis
    • 8.3.1. China Clinical Trials Matching Software Market Outlook
      • 8.3.1.1. Market Size & Forecast
        • 8.3.1.1.1. By Value
      • 8.3.1.2. Market Share & Forecast
        • 8.3.1.2.1. By Deployment Mode
        • 8.3.1.2.2. By End-use
    • 8.3.2. Japan Clinical Trials Matching Software Market Outlook
      • 8.3.2.1. Market Size & Forecast
        • 8.3.2.1.1. By Value
      • 8.3.2.2. Market Share & Forecast
        • 8.3.2.2.1. By Deployment Mode
        • 8.3.2.2.2. By End-use
    • 8.3.3. India Clinical Trials Matching Software Market Outlook
      • 8.3.3.1. Market Size & Forecast
        • 8.3.3.1.1. By Value
      • 8.3.3.2. Market Share & Forecast
        • 8.3.3.2.1. By Deployment Mode
        • 8.3.3.2.2. By End-use
    • 8.3.4. Australia Clinical Trials Matching Software Market Outlook
      • 8.3.4.1. Market Size & Forecast
        • 8.3.4.1.1. By Value
      • 8.3.4.2. Market Share & Forecast
        • 8.3.4.2.1. By Deployment Mode
        • 8.3.4.2.2. By End-use
    • 8.3.5. South Korea Clinical Trials Matching Software Market Outlook
      • 8.3.5.1. Market Size & Forecast
        • 8.3.5.1.1. By Value
      • 8.3.5.2. Market Share & Forecast
        • 8.3.5.2.1. By Deployment Mode
        • 8.3.5.2.2. By End-use

9. South America Clinical Trials Matching Software Market Outlook

  • 9.1. Market Size & Forecast
    • 9.1.1. By Value
  • 9.2. Market Share & Forecast
    • 9.2.1. By Deployment Mode
    • 9.2.2. By End-use
    • 9.2.3. By Country
  • 9.3. South America: Country Analysis
    • 9.3.1. Brazil Clinical Trials Matching Software Market Outlook
      • 9.3.1.1. Market Size & Forecast
        • 9.3.1.1.1. By Value
      • 9.3.1.2. Market Share & Forecast
        • 9.3.1.2.1. By Deployment Mode
        • 9.3.1.2.2. By End-use
    • 9.3.2. Argentina Clinical Trials Matching Software Market Outlook
      • 9.3.2.1. Market Size & Forecast
        • 9.3.2.1.1. By Value
      • 9.3.2.2. Market Share & Forecast
        • 9.3.2.2.1. By Deployment Mode
        • 9.3.2.2.2. By End-use
    • 9.3.3. Colombia Clinical Trials Matching Software Market Outlook
      • 9.3.3.1. Market Size & Forecast
        • 9.3.3.1.1. By Value
      • 9.3.3.2. Market Share & Forecast
        • 9.3.3.2.1. By Deployment Mode
        • 9.3.3.2.2. By End-use

10. Middle East and Africa Clinical Trials Matching Software Market Outlook

  • 10.1. Market Size & Forecast
    • 10.1.1. By Value
  • 10.2. Market Share & Forecast
    • 10.2.1. By Deployment Mode
    • 10.2.2. By End-use
    • 10.2.3. By Country
  • 10.3. MEA: Country Analysis
    • 10.3.1. South Africa Clinical Trials Matching Software Market Outlook
      • 10.3.1.1. Market Size & Forecast
        • 10.3.1.1.1. By Value
      • 10.3.1.2. Market Share & Forecast
        • 10.3.1.2.1. By Deployment Mode
        • 10.3.1.2.2. By End-use
    • 10.3.2. Saudi Arabia Clinical Trials Matching Software Market Outlook
      • 10.3.2.1. Market Size & Forecast
        • 10.3.2.1.1. By Value
      • 10.3.2.2. Market Share & Forecast
        • 10.3.2.2.1. By Deployment Mode
        • 10.3.2.2.2. By End-use
    • 10.3.3. UAE Clinical Trials Matching Software Market Outlook
      • 10.3.3.1. Market Size & Forecast
        • 10.3.3.1.1. By Value
      • 10.3.3.2. Market Share & Forecast
        • 10.3.3.2.1. By Deployment Mode
        • 10.3.3.2.2. By End-use
    • 10.3.4. Kuwait Clinical Trials Matching Software Market Outlook
      • 10.3.4.1. Market Size & Forecast
        • 10.3.4.1.1. By Value
      • 10.3.4.2. Market Share & Forecast
        • 10.3.4.2.1. By Deployment Mode
        • 10.3.4.2.2. By End-use

11. Market Dynamics

  • 11.1. Drivers
  • 11.2. Challenges

12. Market Trends & Developments

  • 12.1. Recent Development
  • 12.2. Mergers & Acquisitions
  • 12.3. Product Launches

13. Porter's Five Forces Analysis

  • 13.1. Competition in the Industry
  • 13.2. Potential of New Entrants
  • 13.3. Power of Suppliers
  • 13.4. Power of Customers
  • 13.5. Threat of Substitute Products

14. Competitive Landscape

  • 14.1. IBM Clinical Development
    • 14.1.1. Business Overview
    • 14.1.2. Product & Service Offerings
    • 14.1.3. Recent Developments
    • 14.1.4. Financials (If Listed)
    • 14.1.5. Key Personnel
    • 14.1.6. SWOT Analysis
  • 14.2. Antidote Technologies Inc
  • 14.3. Ofni Systems Inc
  • 14.4. SSS International Clinical Research GmbH
  • 14.5. CLARIO
  • 14.6. Advarra Inc
  • 14.7. ArisGlobal LLC
  • 14.8. Bsi Business Systems Integration AG
  • 14.9. Teckro Ltd
  • 14.10. Clinical Trials Mobile Application

15. Strategic Recommendations

16. About Us & Disclaimer