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臨床試験マッチングソフトウェア市場- 世界の産業規模、シェア、動向、機会、予測、展開形態別、最終用途別、地域別、競争別、2020-2030F

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
ページ情報
英文 180 Pages
納期
2～3営業日
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臨床試験マッチングソフトウェア市場- 世界の産業規模、シェア、動向、機会、予測、展開形態別、最終用途別、地域別、競争別、2020-2030F
出版日: 2025年04月11日
発行: TechSci Research
ページ情報: 英文 180 Pages
納期: 2～3営業日
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  • 全表示
  • 概要
  • 目次
概要

臨床試験マッチングソフトウェアの世界市場規模は、2024年に1億5,776万米ドルとなり、2030年までのCAGRは8.55％と予測され、予測期間中に力強い成長を記録すると予測されています。

同市場は、臨床試験プロトコルの複雑化、精密医療の台頭、患者募集プロセスの効率化という差し迫ったニーズを背景に、大きな牽引力となっています。

市場概要
予測期間 2026-2030
市場規模：2024年 1億5,776万米ドル
市場規模：2030年 2億5,868万米ドル
CAGR：2025年～2030年 8.55%
急成長セグメント ウェブおよびクラウドベース
最大市場 北米

臨床試験が世界化し、電子カルテ（EHR）、ゲノム配列、病歴など多様なソースからの膨大なデータセットを取り込むデータ集約型になるにつれ、患者と適切な試験を効率的にマッチングできるインテリジェントなソフトウェア・プラットフォームへの信頼が高まっています。このようなプラットフォームは、臨床研究に関連するロジスティクスと財政の課題を克服する上で、重要な運用ツールとなっています。

患者の募集は依然として臨床試験における最も大きなハードルの一つであり、しばしば遅延や予算超過の原因となっています。適格な参加者を手作業で特定することは、一般的に時間がかかり、ミスが起こりやすいです。臨床試験マッチングソフトウェアは、人工知能（AI）や機械学習（ML）などの先進技術を活用することで、この問題に対処します。これらのシステムは、構造化および非構造化患者データの両方を分析し、複雑な組み入れ・除外基準を満たす候補者を正確に特定することで、リクルートのタイムラインを短縮し、試験の成功率を高めます。

主な市場促進要因

個別化医療に対する需要の高まり

主な市場課題

データプライバシーとセキュリティ

主な市場動向

人工知能と機械学習の統合

目次

第1章 概要

  • 市場の定義
  • 市場の範囲
    • 対象市場
    • 調査対象年
    • 主要市場セグメンテーション

第2章 調査手法

第3章 エグゼクティブサマリー

第4章 顧客の声

第5章 世界の臨床試験マッチングソフトウェア市場展望

  • 市場規模・予測
    • 金額別
  • 市場シェア・予測
    • 展開モード別（Webおよびクラウドベース、オンプレミス）
    • 最終用途別（製薬・バイオテクノロジー企業、CRO、医療機器企業）
    • 地域別
    • 企業別（2024）
  • 製品市場マップ

第6章 北米の臨床試験マッチングソフトウェア市場展望

  • 市場規模・予測
  • 市場シェア・予測
  • 北米：国別分析
    • 米国
    • カナダ
    • メキシコ

第7章 欧州の臨床試験マッチングソフトウェア市場展望

  • 市場規模・予測
  • 市場シェア・予測
  • 欧州：国別分析
    • ドイツ
    • 英国
    • フランス
    • イタリア
    • スペイン

第8章 アジア太平洋地域の臨床試験マッチングソフトウェア市場展望

  • 市場規模・予測
  • 市場シェア・予測
  • アジア太平洋地域：国別分析
    • 中国
    • 日本
    • インド
    • オーストラリア
    • 韓国

第9章 南米の臨床試験マッチングソフトウェア市場展望

  • 市場規模・予測
  • 市場シェア・予測
  • 南米：国別分析
    • ブラジル
    • アルゼンチン
    • コロンビア

第10章 中東・アフリカの臨床試験マッチングソフトウェア市場展望

  • 市場規模・予測
  • 市場シェア・予測
  • 中東・アフリカ：国別分析
    • 南アフリカ
    • サウジアラビア
    • アラブ首長国連邦
    • クウェート

第11章 市場力学

  • 促進要因
  • 課題

第12章 市場動向と発展

  • 最近の動向
  • 合併と買収
  • 製品上市

第13章 ポーターのファイブフォース分析

  • 業界内の競合
  • 新規参入の可能性
  • サプライヤーの力
  • 顧客の力
  • 代替品の脅威

第14章 競合情勢

  • 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 戦略的提言

第16章 調査会社について・免責事項

目次
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