人工智慧驅動的臨床試驗解決方案（患者匹配）市場規模、佔有率和成長分析：按組件、部署模式、技術、臨床試驗階段、最終用戶和地區分類－2026-2033年產業預測

2024 年全球基於人工智慧的患者配對臨床試驗解決方案市場價值為 21 億美元，預計到 2033 年將從 2025 年的 26.8 億美元成長到 187 億美元，預測期（2026-2033 年）的複合年成長率為 27.5%。

人工智慧驅動的患者配對平台正在革新臨床試驗的招募方式，有效解決了長期以來參與者招募的難題。這些先進的解決方案利用電子健康記錄、基因組數據和穿戴式健康技術，提供即時匹配評分，將符合合格的患者與相應的研究方案連接起來。隨著臨床試驗成本和招募延遲問題日益嚴峻，基於雲端的平台正從小眾應用發展成為廣泛採用的企業級解決方案，從而提升參與者的多樣性並加快試驗進程。監管機構對分散式臨床試驗的支持進一步推動了這一領域的成長，使申辦方能夠將以往難以觸及的患者群體納入試驗。將真實世界證據整合到這些平台中，有助於提高合規性，創造投資機會，並帶來巨大的收入潛力。總而言之，人工智慧驅動的患者配對將在全球範圍內重新定義臨床試驗參與的效率和效果。

全球人工智慧驅動的患者匹配臨床試驗解決方案市場成長要素

人工智慧演算法的引入顯著改善了臨床試驗受試者篩選流程，其透過高效分析電子健康記錄、基因組資訊和真實世界證據，顯著提升了篩選合適受試者的能力。這項創新最大限度地減少了人工篩檢時間，降低了受試者不匹配的可能性，並加快了受試者招募流程，使申辦方能夠更快地啟動試驗。此外，較高的受試者配對準確率有助於降低脫落率，提高資源管理效率，最終提升試驗的整體效率。這些進步正在加速人工智慧解決方案在各個治療領域的應用和實施，從而推動全球人工智慧臨床試驗解決方案市場的發展。

全球人工智慧驅動的臨床試驗解決方案（用於患者配對）市場面臨的限制因素

圍繞患者資料共用的嚴格隱私法規對依賴廣泛且多樣化資料集的人工智慧平台構成了重大挑戰。各機構必須建立全面的知情同意流程、強大的加密技術和完善的審計追蹤機制。這不僅會增加營運成本，還會顯著延長整合過程。此外，對潛在違規行為的擔憂也會阻礙人工智慧平台的普及，尤其對於缺乏足夠合規資源的小規模機構而言更是如此。因此，這種環境限制了基於人工智慧的臨床試驗患者匹配解決方案的整體市場成長和滲透率。

基於人工智慧的臨床試驗患者匹配解決方案的全球趨勢

全球人工智慧驅動的臨床試驗解決方案市場正呈現出顯著趨勢，即透過精準匹配來豐富研究隊列。借助基因組學和真實世界數據（REW）的進步，人工智慧平台越來越能夠識別高度特異性的患者亞群，從而顯著提高臨床試驗的相關性和成功率。分子譜分析與電子健康記錄的無縫整合，使研究人員能夠快速識別並招募疾病特徵與臨床實驗藥物高度匹配的患者。這種簡化的方法不僅縮短了受試者招募時間，也增強了監管機構對試驗結果的信心，最終推動臨床研究領域的進一步創新和效率提升。

目錄

介紹

• 調查目的
• 市場定義和範圍

調查方法

• 研究過程
• 二級資料和一級資料的方法
• 市場規模估算方法

執行摘要

• 全球市場展望
• 市場主要亮點
• 細分市場概覽
• 競爭環境概述

市場動態及展望

• 總體經濟指標
• 促進者和機會
• 抑制因素和挑戰
• 供給面趨勢
• 需求面趨勢
• 波特的分析和影響

關鍵市場分析

• 關鍵成功因素
• 影響市場的因素
• 主要投資機會
• 生態系測繪
• 2025年市場魅力指數
• PESTLE分析
• 監理情勢
• 價值鏈分析
• 案例研究
• 技術評估
• 客戶和採購標準分析
• 管道分析
• 疾病流行病學

全球人工智慧驅動的臨床試驗解決方案（用於患者配對）市場規模：按組件分類

• 軟體
• 服務

全球人工智慧驅動的臨床試驗解決方案（用於患者配對）市場規模：按部署類型分類

• 基於雲端的
• 現場
• 混合

全球人工智慧驅動的臨床試驗解決方案（用於患者配對）市場規模：按應用領域分類。

• 招募受試者
• 合格篩檢
• 開展試驗的可行性評估
• 測試設施的選擇
• 病人留存率和參與度
• 其他

全球人工智慧驅動的臨床試驗解決方案（用於患者配對）市場規模：按技術分類

• 機器學習
• 自然語言處理（NLP）
• 預測分析
• 人工智慧世代
• 其他

全球人工智慧驅動的臨床試驗解決方案（用於患者配對）市場規模：按臨床試驗階段分類

• 第一階段
• 第二階段
• 第三階段
• 第四階段

全球人工智慧驅動的臨床試驗解決方案（用於患者配對）市場規模：按最終用戶分類。

• 製藥公司
• 生技公司
• 受託研究機構（CRO）
• 研究機構
• 醫院和臨床試驗點

全球人工智慧驅動的臨床試驗解決方案（用於患者匹配）市場規模：按數據來源分類

• 電子健康紀錄（EHR）
• 基因組數據
• 保險理賠數據與管理數據
• 病人登記
• 穿戴式裝置和遠端監測數據

全球人工智慧驅動的臨床試驗解決方案（用於患者配對）市場規模：按地區分類

• 北美洲
  • 美國
  • 加拿大
• 歐洲
  • 德國
  • 西班牙
  • 法國
  • 英國
  • 義大利
  • 其他歐洲國家
• 亞太地區
  • 中國
  • 印度
  • 日本
  • 韓國
  • 其他亞太國家
• 拉丁美洲
  • 墨西哥
  • 巴西
  • 其他拉丁美洲國家
• 中東和非洲
  • 海灣合作理事會國家
  • 南非
  • 其他中東和非洲國家

競爭資訊

• 前五大公司對比
• 主要公司2025年的市場定位
• 主要市場公司採取的策略
• 近期市場趨勢
• 企業市場占有率分析，2025 年
• 主要公司的完整公司簡介
  • 公司詳情
  • 產品系列分析
  • 按細分市場進行企業市佔率分析
  • 銷售收入年比比較（2023-2025 年）

主要公司簡介

• IQVIA
• Dassault Systemes
• Oracle
• Merative
• ConcertAI
• Saama
• Tempus AI
• Deep 6 AI
• TriNetX
• Mendel.ai
• H1
• Roche
• Antidote Technologies
• Clinerion
• CureMatch
• Syneos Health
• Parexel
• ICON plc
• Trials.ai
• Inato

結論與建議

Global Ai-Based Clinical Trial Solutions For Patient Matching Market size was valued at USD 2.1 Billion in 2024 and is poised to grow from USD 2.68 Billion in 2025 to USD 18.7 Billion by 2033, growing at a CAGR of 27.5% during the forecast period (2026-2033).

AI-driven patient-matching platforms are revolutionizing clinical trial enrollment by effectively addressing the longstanding challenges of participant recruitment. These advanced solutions utilize electronic health records, genomics data, and wearable health technologies to deliver real-time match scores that connect eligible patients with appropriate study protocols. As trial costs and recruitment delays escalate, cloud-based platforms have evolved from niche applications to widespread enterprise solutions, enhancing enrollment diversity and accelerating timelines. Regulatory support for decentralized trials further propels growth, enabling sponsors to engage previously inaccessible patient populations. The integration of real-world evidence in these platforms fosters compliance and investment opportunities, leading to substantial revenue potential. Overall, AI-driven patient matching is set to redefine trial participation efficiency and effectiveness on a global scale.

Top-down and bottom-up approaches were used to estimate and validate the size of the Global Ai-Based Clinical Trial Solutions For Patient Matching market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.

Global Ai-Based Clinical Trial Solutions For Patient Matching Market Segments Analysis

Global ai-based clinical trial solutions for patient matching market is segmented by component, deployment type, application, technology, clinical trial phase, end user, data source and region. Based on component, the market is segmented into Software and Services. Based on deployment type, the market is segmented into Cloud-Based, On-Premise and Hybrid. Based on application, the market is segmented into Patient Recruitment, Eligibility Screening, Trial Feasibility Assessment, Site Selection, Patient Retention & Engagement and Others. Based on technology, the market is segmented into Machine Learning, Natural Language Processing (NLP), Predictive Analytics, Generative AI and Others. Based on clinical trial phase, the market is segmented into Phase I, Phase II, Phase III and Phase IV. Based on end user, the market is segmented into Pharmaceutical Companies, Biotechnology Companies, Contract Research Organizations (CROs), Research Institutes and Hospitals & Clinical Sites. Based on data source, the market is segmented into Electronic Health Records (EHRs), Genomic Data, Claims & Administrative Data, Patient Registries and Wearable & Remote Monitoring Data. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.

Driver of the Global Ai-Based Clinical Trial Solutions For Patient Matching Market

The adoption of AI algorithms significantly enhances the process of identifying suitable participants for clinical trials by efficiently analyzing electronic health records, genomic information, and real-world evidence. This innovation minimizes the time spent on manual screening, reduces the likelihood of mismatches, and speeds up enrollment processes, enabling sponsors to commence trials more swiftly. Additionally, the increased accuracy in matching participants leads to lower dropout rates and more effective resource management, ultimately boosting overall trial efficiency. Such advancements foster greater acceptance and implementation of AI-driven solutions across various therapeutic fields, propelling the development of the global AI-based clinical trial solutions market.

Restraints in the Global Ai-Based Clinical Trial Solutions For Patient Matching Market

Stringent privacy regulations surrounding the sharing of patient data present considerable challenges for AI platforms that depend on extensive and varied datasets. Organizations are required to establish comprehensive consent protocols, robust encryption techniques, and thorough audit trails. This not only elevates operational costs but also prolongs the integration process significantly. Additionally, concerns regarding potential regulatory violations can hinder adoption rates, especially among smaller institutions that may not possess the necessary compliance resources. As a result, this environment restricts overall market growth and penetration within the AI-based clinical trial solutions for patient matching sector.

Market Trends of the Global Ai-Based Clinical Trial Solutions For Patient Matching Market

The Global AI-Based Clinical Trial Solutions for Patient Matching market is witnessing a notable trend towards precision-driven cohort enrichment. Leveraging advancements in genomics and real-world evidence, AI platforms are increasingly capable of pinpointing highly specific patient subsets that significantly enhance the relevance and success rates of clinical trials. By seamlessly integrating molecular profiling with electronic health records, researchers can quickly identify and recruit patients whose disease characteristics closely align with investigational therapies. This streamlined approach not only shortens recruitment timelines but also bolsters regulatory confidence in trial results, ultimately driving greater innovation and efficiency in the clinical research landscape.

Table of Contents

Introduction

• Objectives of the Study
• Market Definition & Scope

Research Methodology

• Research Process
• Secondary & Primary Data Methods
• Market Size Estimation Methods

Executive Summary

• Global Market Outlook
• Key Market Highlights
• Segmental Overview
• Competition Overview

Market Dynamics & Outlook

• Macro-Economic Indicators
• Drivers & Opportunities
• Restraints & Challenges
• Supply Side Trends
• Demand Side Trends
• Porters Analysis & Impact
  • Competitive Rivalry
  • Threat of Substitute
  • Bargaining Power of Buyers
  • Threat of New Entrants
  • Bargaining Power of Suppliers

Key Market Insights

• Key Success Factors
• Market Impacting Factors
• Top Investment Pockets
• Ecosystem Mapping
• Market Attractiveness Index 2025
• PESTEL Analysis
• Regulatory Landscape
• Value Chain Analysis
• Case Studies
• Technology Assessment
• Customer & Buying Criteria Analysis
• Pipeline Analysis
• Disease Epidemiology

Global AI-based Clinical Trial Solutions For Patient Matching Market Size by Component & CAGR (2026-2033)

• Market Overview
• Software
• Services

Global AI-based Clinical Trial Solutions For Patient Matching Market Size by Deployment Type & CAGR (2026-2033)

• Market Overview
• Cloud-Based
• On-Premise
• Hybrid

Global AI-based Clinical Trial Solutions For Patient Matching Market Size by Application & CAGR (2026-2033)

• Market Overview
• Patient Recruitment
• Eligibility Screening
• Trial Feasibility Assessment
• Site Selection
• Patient Retention & Engagement
• Others

Global AI-based Clinical Trial Solutions For Patient Matching Market Size by Technology & CAGR (2026-2033)

• Market Overview
• Machine Learning
• Natural Language Processing (NLP)
• Predictive Analytics
• Generative AI
• Others

Global AI-based Clinical Trial Solutions For Patient Matching Market Size by Clinical Trial Phase & CAGR (2026-2033)

• Market Overview
• Phase I
• Phase II
• Phase III
• Phase IV

Global AI-based Clinical Trial Solutions For Patient Matching Market Size by End User & CAGR (2026-2033)

• Market Overview
• Pharmaceutical Companies
• Biotechnology Companies
• Contract Research Organizations (CROs)
• Research Institutes
• Hospitals & Clinical Sites

Global AI-based Clinical Trial Solutions For Patient Matching Market Size by Data Source & CAGR (2026-2033)

• Market Overview
• Electronic Health Records (EHRs)
• Genomic Data
• Claims & Administrative Data
• Patient Registries
• Wearable & Remote Monitoring Data

Global AI-based Clinical Trial Solutions For Patient Matching Market Size & CAGR (2026-2033)

• North America (Component, Deployment Type, Application, Technology, Clinical Trial Phase, End User, Data Source)
  • US
  • Canada
• Europe (Component, Deployment Type, Application, Technology, Clinical Trial Phase, End User, Data Source)
  • Germany
  • Spain
  • France
  • UK
  • Italy
  • Rest of Europe
• Asia Pacific (Component, Deployment Type, Application, Technology, Clinical Trial Phase, End User, Data Source)
  • China
  • India
  • Japan
  • South Korea
  • Rest of Asia-Pacific
• Latin America (Component, Deployment Type, Application, Technology, Clinical Trial Phase, End User, Data Source)
  • Mexico
  • Brazil
  • Rest of Latin America
• Middle East & Africa (Component, Deployment Type, Application, Technology, Clinical Trial Phase, End User, Data Source)
  • GCC Countries
  • South Africa
  • Rest of Middle East & Africa

Competitive Intelligence

• Top 5 Player Comparison
• Market Positioning of Key Players, 2025
• Strategies Adopted by Key Market Players
• Recent Developments in the Market
• Company Market Share Analysis, 2025
• Company Profiles of All Key Players
  • Company Details
  • Product Portfolio Analysis
  • Company's Segmental Share Analysis
  • Revenue Y-O-Y Comparison (2023-2025)

Key Company Profiles

• IQVIA
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Dassault Systemes
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Oracle
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Merative
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• ConcertAI
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Saama
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Tempus AI
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Deep 6 AI
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• TriNetX
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Mendel.ai
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• H1
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Roche
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Antidote Technologies
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Clinerion
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• CureMatch
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Syneos Health
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Parexel
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• ICON plc
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Trials.ai
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Inato
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments

Conclusion & Recommendations