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市場調查報告書
商品編碼
1703429

臨床試驗配對軟體市場－全球產業規模、佔有率、趨勢、機會及預測，依部署模式、最終用途、地區及競爭細分，2020-2030 年預測

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個工作天內

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簡介目錄

2024 年全球臨床試驗匹配軟體市場價值為 1.5776 億美元，預計在預測期內將實現強勁成長，到 2030 年的年複合成長率(CAGR) 預計為 8.55%。受臨床試驗方案日益複雜、精準醫療興起以及提高病患招募流程效率的迫切需求的推動，該市場正在獲得顯著的發展動力。

市場概覽
預測期 2026-2030
2024年市場規模 1.5776億美元
2030年市場規模 2.5868億美元
2025-2030 年複合年成長率 8.55%
成長最快的領域 網路和雲端
最大的市場 北美洲

隨著臨床試驗變得更加全球化和數據密集（包含來自電子健康記錄 (EHR)、基因組序列和病史等不同來源的大量資料集），人們越來越依賴能夠有效地將患者與適當的研究匹配的智慧軟體平台。這些平台已成為克服與臨床研究相關的後勤和財務挑戰的重要營運工具。

病患招募仍然是臨床試驗中最重大的障礙之一，經常導致延誤和預算超支。手動識別合格參與者通常很耗時且容易出錯。臨床試驗匹配軟體利用人工智慧 (AI) 和機器學習 (ML) 等先進技術解決了這個問題。這些系統分析結構化和非結構化患者資料，以準確識別符合複雜納入和排除標準的候選人，從而加快招募時間並提高試驗成功率。

關鍵市場促進因素

個人化醫療需求不斷成長

主要市場挑戰

資料隱私和安全

主要市場趨勢

人工智慧與機器學習的融合

目錄

第1章：服務概述

  • 市場定義
  • 市場範圍
    • 覆蓋市場
    • 考慮學習的年限
    • 主要市場區隔

第2章：研究方法

第3章：執行摘要

第4章：顧客之聲

第5章：全球臨床試驗配對軟體市場展望

  • 市場規模和預測
    • 按價值
  • 市場佔有率和預測
    • 依部署模式（基於 Web 和雲端、本機）
    • 按最終用途（製藥和生物技術公司、合約研究組織 (CRO)、醫療器材公司）
    • 按地區
    • 按公司分類（2024）
  • 產品市場圖

第6章：北美臨床試驗配對軟體市場展望

  • 市場規模和預測
  • 市場佔有率和預測
  • 北美：國家分析
    • 美國
    • 加拿大
    • 墨西哥

第7章：歐洲臨床試驗配對軟體市場展望

  • 市場規模和預測
  • 市場佔有率和預測
  • 歐洲：國家分析
    • 德國
    • 英國
    • 法國
    • 義大利
    • 西班牙

第8章：亞太臨床試驗配對軟體市場展望

  • 市場規模和預測
  • 市場佔有率和預測
  • 亞太地區：國家分析
    • 中國
    • 日本
    • 印度
    • 澳洲
    • 韓國

第9章：南美臨床試驗匹配軟體市場展望

  • 市場規模和預測
  • 市場佔有率和預測
  • 南美洲：國家分析
    • 巴西
    • 阿根廷
    • 哥倫比亞

第 10 章：中東和非洲臨床試驗配對軟體市場展望

  • 市場規模和預測
  • 市場佔有率和預測
  • MEA：國家分析
    • 南非
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 科威特

第 11 章：市場動態

  • 驅動程式
  • 挑戰

第 12 章：市場趨勢與發展

  • 近期發展
  • 併購
  • 產品發布

第 13 章：波特五力分析

  • 產業競爭
  • 新進入者的潛力
  • 供應商的力量
  • 顧客的力量
  • 替代產品的威脅

第 14 章：競爭格局

  • 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：策略建議

第16章調查會社について,免責事項

簡介目錄
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