임상시험 매칭 소프트웨어 시장 : 점유율 분석, 업계 동향과 통계, 성장 예측(2026-2031년)

According to Mordor Intelligence, the clinical trials matching software market size is projected to expand from USD 202.55 million in 2025 and USD 228.11 million in 2026 to USD 413.26 million by 2031, registering a CAGR of 12.62% between 2026 to 2031.

This report is Segmented by Deployment Mode (Cloud-Based, On-Premise), Application (Patient Recruitment, Feasibility, Site Selection, Protocol Matching, Patient Engagement), End User (Pharmaceutical and Biotechnology Companies, and More), Technology (Artificial Intelligence, and More), and Geography (North America, Europe, and More). The Market Forecasts are Provided in Terms of Value (USD).

Global Clinical Trials Matching Software Market Trends and Insights

EHR-To-Trial AI And NLP Compressing The Patient Identification Window

AI-driven EHR mining and NLP integration are transforming clinical trial matching software by significantly reducing patient enrollment delays. Manual patient file reviews take 11 to 26 minutes, whereas AI and NLP can analyze structured and unstructured data in under 60 seconds. A 2026 study validated TrialMatchAI on 52 oncology patients and 217 molecularly defined Dutch trials, achieving a 92.3% top-20 recall rate, 88.8% inclusion accuracy, and a confabulation rate below 1% across 950 patient-criterion pairs. With more eligibility data in physician notes and pathology records than coded fields, the market focus is shifting toward patient follow-up, coordinator support, and retention workflows. Vendors integrating matching outputs with outreach tools are gaining a competitive edge in trial programs prioritizing speed and stability.

Expansion Of Precision Oncology And Biomarker-Driven Trials

The rise of precision oncology is pushing clinical trials matching software toward advanced data handling, as many oncology studies now require biomarker, genomic, proteomic, or histological filters for patient eligibility. These criteria narrow the eligible pool, reducing the utility of standard diagnosis code searches. Tempus AI's 2025 acquisition of Deep 6 AI addressed this need, with Deep 6's platform covering over 750 provider sites and 30 million patient records, enabling complex trial matching. Vendors with genomics-linked datasets are better positioned for high-complexity oncology studies, while others lag. This gap is expected to widen as sponsors prioritize faster identification of narrowly defined patient cohorts.

Fragmented Health Data Standards And Incomplete EHR Architecture

Fragmented data architecture remains a key technical limitation in the clinical trials matching software market. Even advanced health systems operate with diverse vendors, data models, and configurations. For example, Germany's MIRACUM network developed a FHIR-based recruitment infrastructure through the Medizininformatik-Initiative but still required significant integration efforts across hospitals. In Europe, country-specific data residency rules complicate cross-border cloud processing, pushing vendors toward localized data handling. In regions like the Middle East, Africa, and parts of South America, low EHR penetration limits the data available for AI-driven matching, leading to uneven market growth despite strong sponsor demand.

Other drivers and restraints analyzed in the detailed report include:

1. Growth In Decentralized And Hybrid Trial Operating Models
2. Rising Complexity Of Protocol Eligibility Criteria
3. Clinician Trust Gaps In AI-Generated Eligibility Screening

For complete list of drivers and restraints, kindly check the Table Of Contents.

Segment Analysis

In 2025, cloud-based deployment held 68.60% of the clinical trials matching software market, driven by the need for faster onboarding, multi-site visibility, and real-time enrollment management. Cloud systems reduce local infrastructure requirements and provide centralized dashboards for geographically dispersed trial teams. Sponsors and CROs prefer cloud environments for standardizing workflows across multiple sites, countries, and therapeutic programs. Despite growing privacy and sovereignty concerns, cloud remains a cornerstone of the deployment landscape.

On-premise deployments are projected to grow at a 14.24% CAGR through 2031, making them the fastest-growing segment in the clinical trials matching software market. This growth is fueled by compliance requirements in countries like Japan, Germany, and China, where strict regulations govern health data processing. Vendors are addressing this by developing containerized matching engines that operate within hospital environments, sending only anonymized or summarized data externally. The industry is increasingly adopting hybrid and federated models as a balanced approach.

In 2025, patient recruitment and pre-screening accounted for 38.55% of the clinical trials matching software market, reflecting its maturity and critical role in enrollment timelines. Sponsors prioritize this function to avoid missed enrollment targets, which can impact study costs, milestones, and site productivity. Advanced matching platforms now screen using layered eligibility criteria, ensuring recruitment and pre-screening remain central to the market and justifying continued investment in tools capable of handling structured and narrative data.

Site selection and activation is projected to grow at a 15.89% CAGR through 2031, making it the fastest-growing application area in the clinical trials matching software market. AI-enhanced feasibility modeling has demonstrated significant benefits, such as reducing protocol amendments and improving site acceptance rates. Sponsors are increasingly adopting software earlier in the study cycle to enhance site selection, reduce recruitment failures, and improve protocol planning, drawing more attention from clinical development teams.

Complete Report Scope:

• By Deployment Mode
  • Cloud-Based
  • On-Premise
• By Application
  • Patient Recruitment and Pre-Screening
  • Trial Feasibility Assessment
  • Site Selection and Activation
  • Protocol Matching and Eligibility Screening
  • Patient Engagement and Retention Support
• By End User
  • Pharmaceutical and Biotechnology Companies
  • Contract Research Organizations
  • Medical Device Companies
  • Hospitals and Health Systems
  • Others
• By Technology
  • Artificial Intelligence
  • Machine Learning
  • Natural Language Processing
  • Big Data Analytics
  • Others
• By Geography
  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • Germany
    • United Kingdom
    • France
    • Italy
    • Spain
    • Rest of Europe
  • Asia-Pacific
    • China
    • India
    • Japan
    • Australia
    • South Korea
    • Rest of Asia-Pacific
  • Middle East and Africa
    • GCC
    • South Africa
    • Rest of Middle East and Africa
  • South America
    • Brazil
    • Argentina
    • Rest of South America

Geography Analysis

In 2025, North America dominated the clinical trials matching software market, capturing 42.95% of the share. This dominance is attributed to the region's extensive EHR penetration, a high density of clinical trial sites, and the concentration of sponsor and CRO headquarters that influence purchasing decisions. The FDA's guidance in September 2024 on decentralized clinical trial elements expanded the practical enrollment radius for individual sites and formalized pathways for remote participation. In February 2025, Inovalon introduced its AI-driven Clinical Research Patient Finder, integrating with EHRs to automate pre-screening and real-time patient identification. Canada stands out for its robust digital health adoption, while Mexico remains significant for sponsors targeting diverse oncology and cardiometabolic trial populations.

Europe ranks as the second-largest player in the clinical trials matching software market, with Germany, the UK, and France leading adoption and trial activities. Privacy regulations significantly influence software architecture and procurement decisions in the region. Vendors increasingly favor local data processing and federated models to comply with country-specific privacy boundaries. Germany's MIRACUM consortium exemplifies this trend with its FHIR-compliant recruIT infrastructure for patient recruitment across university hospitals. This model raises the bar for commercial vendors, pushing them to excel in usability, advanced analytics, and workflow value. Spain, Italy, and other European nations benefit from the EU Clinical Trials Regulation, which facilitates broader multi-country trial coordination.

Asia-Pacific is projected to grow at a 15.45% CAGR through 2031, making it the fastest-growing region in the clinical trials matching software market. Japan is accelerating trial digitization to address drug lag and expedite candidate screening. Fujitsu's collaboration with Tokai National Higher Education and Research System in May 2025 structured unstructured clinical data from 1,800 patient records with 90% accuracy, reducing patient candidate selection time by a third. China is scaling domestic platforms for global registration, while emerging markets in Africa and South America, though smaller, are gaining traction, as demonstrated by Oracle's support for the Africa Clinical Research Network trial across Zimbabwe, Rwanda, and Tanzania.

1. Advarra, Inc.
2. Antidote Technologies, Inc.
3. Aris Global
4. BSI Business Systems Integration AG
5. Castor EDC B.V.
6. Clario
7. Clinerion AG
8. Deep 6 AI, Inc.
9. Evidation Health, Inc.
10. HealthMatch, Inc.
11. IQVIA
12. Medidata Solutions, Inc.
13. Microsoft
14. Oracle
15. Reify Health, Inc.
16. Teckro Limited
17. Tempus AI, Inc.
18. Trialbee AB
19. TriNetX, LLC
20. Veeva Systems

Additional Benefits:

• The market estimate (ME) sheet in Excel format
• 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

• 1.1 Study Assumptions and Market Definition
• 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET LANDSCAPE

• 4.1 Market Overview
• 4.2 Market Drivers
  • 4.2.1 Rising Complexity of Protocol Eligibility Criteria
  • 4.2.2 Expansion of Precision Oncology and Biomarker-Driven Trials
  • 4.2.3 Sponsor Shift Toward Faster Feasibility and Site Selection Workflows
  • 4.2.4 Growth in Decentralized and Hybrid Trial Operating Models
  • 4.2.5 EHR to Trial Matching Through AI and NLP Integration
  • 4.2.6 Cross-Institution Patient Data Interoperability for Pre-Screening
• 4.3 Market Restraints
  • 4.3.1 Fragmented Health Data Standards and Incomplete EHR Structure
  • 4.3.2 Clinician Trust Gaps in AI-Generated Eligibility Matches
  • 4.3.3 Limited Trial Awareness in Rare Disease and Niche Therapeutic Populations
  • 4.3.4 Workflow Resistance from Sites That Lack Dedicated Research Operations Staff
• 4.4 Supply/Value Chain Analysis
• 4.5 Regulatory Landscape
• 4.6 Technological Outlook
• 4.7 Porter's Five Forces Analysis
  • 4.7.1 Bargaining Power of Suppliers
  • 4.7.2 Bargaining Power of Buyers
  • 4.7.3 Threat of New Entrants
  • 4.7.4 Threat of Substitutes
  • 4.7.5 Industry Rivalry

5 MARKET SIZE AND GROWTH FORECASTS (VALUE, USD)

• 5.1 By Deployment Mode
  • 5.1.1 Cloud-Based
  • 5.1.2 On-Premise
• 5.2 By Application
  • 5.2.1 Patient Recruitment and Pre-Screening
  • 5.2.2 Trial Feasibility Assessment
  • 5.2.3 Site Selection and Activation
  • 5.2.4 Protocol Matching and Eligibility Screening
  • 5.2.5 Patient Engagement and Retention Support
• 5.3 By End User
  • 5.3.1 Pharmaceutical and Biotechnology Companies
  • 5.3.2 Contract Research Organizations
  • 5.3.3 Medical Device Companies
  • 5.3.4 Hospitals and Health Systems
  • 5.3.5 Others
• 5.4 By Technology
  • 5.4.1 Artificial Intelligence
  • 5.4.2 Machine Learning
  • 5.4.3 Natural Language Processing
  • 5.4.4 Big Data Analytics
  • 5.4.5 Others
• 5.5 By Geography
  • 5.5.1 North America
    • 5.5.1.1 United States
    • 5.5.1.2 Canada
    • 5.5.1.3 Mexico
  • 5.5.2 Europe
    • 5.5.2.1 Germany
    • 5.5.2.2 United Kingdom
    • 5.5.2.3 France
    • 5.5.2.4 Italy
    • 5.5.2.5 Spain
    • 5.5.2.6 Rest of Europe
  • 5.5.3 Asia-Pacific
    • 5.5.3.1 China
    • 5.5.3.2 India
    • 5.5.3.3 Japan
    • 5.5.3.4 Australia
    • 5.5.3.5 South Korea
    • 5.5.3.6 Rest of Asia-Pacific
  • 5.5.4 Middle East and Africa
    • 5.5.4.1 GCC
    • 5.5.4.2 South Africa
    • 5.5.4.3 Rest of Middle East and Africa
  • 5.5.5 South America
    • 5.5.5.1 Brazil
    • 5.5.5.2 Argentina
    • 5.5.5.3 Rest of South America

6 COMPETITIVE LANDSCAPE

• 6.1 Market Concentration
• 6.2 Market Share Analysis
• 6.3 Company Profiles (includes Global Level Overview, Market Level Overview, Core Segments, Financials as available, Strategic Information, Market Rank/Share, Products and Services, Recent Developments)
  • 6.3.1 Advarra, Inc.
  • 6.3.2 Antidote Technologies, Inc.
  • 6.3.3 ArisGlobal LLC
  • 6.3.4 BSI Business Systems Integration AG
  • 6.3.5 Castor EDC B.V.
  • 6.3.6 Clario
  • 6.3.7 Clinerion AG
  • 6.3.8 Deep 6 AI, Inc.
  • 6.3.9 Evidation Health, Inc.
  • 6.3.10 HealthMatch, Inc.
  • 6.3.11 IQVIA Holdings Inc.
  • 6.3.12 Medidata Solutions, Inc.
  • 6.3.13 Microsoft Corporation
  • 6.3.14 Oracle Corporation
  • 6.3.15 Reify Health, Inc.
  • 6.3.16 Teckro Limited
  • 6.3.17 Tempus AI, Inc.
  • 6.3.18 Trialbee AB
  • 6.3.19 TriNetX, LLC
  • 6.3.20 Veeva Systems Inc.

7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK

• 7.1 White-Space and Unmet-Need Assessment