Global demand for trial-matching software continues to rise, driven by increasing trial complexity, cloud-based platforms, and real-time enrollment tools.
Austin, Nov. 12, 2025 (GLOBE NEWSWIRE) — Clinical Trials Matching Software Market Size & Growth Analysis
SNS Insider reports that the global clinical trials matching software market, valued at USD 187.14 million in 2024, is expected to reach USD 501.86 million by 2032, reflecting a CAGR of 13.14% from 2025–2032. The U.S. market, worth USD 74.78 million in 2024, is projected to grow to USD 199.51 million by 2032, supported by strong healthcare IT infrastructure, increasing trial activity, and expanding AI-driven patient-matching capabilities.
Demand for highly accurate patient matching is rising as clinical trials become more complex, eligibility criteria tighten, and sponsors and CROs face pressure to speed up enrollment and improve trial efficiency. Modern platforms now integrate EHR data, provide real-time eligibility checks, and include patient-facing tools that expand outreach and support diversity. With the shift toward decentralized trials, personalized matching and cloud-based workflow solutions are becoming increasingly essential.
Key Companies Profiled in the Clinical Trials Matching Software Market Report Include
- IBM Watson Health
- Antidote Technologies
- Deep 6 AI
- TriNetX
- Clinerion
- ConcertAI
- Emergent Connect
- Trialspark
- ClinOne
- Elligo Health Research
- Phreesia
- HealthMatch
- SubjectWell
- JPNV
- TrialJectory
- Parexel
- Inato
- Mendel.ai
- PatientWing
- Flatiron Health
Clinical Trials Matching Software Market Segmentation Analysis
By Mode
The web and cloud-based segment dominated the market in 2024 with a 90.94% share, supported by its scalability, real-time accessibility, and seamless integration with EHR systems. The on-premises segment is the fastest-growing, projected to expand at a 14.32% CAGR, driven by heightened data-security needs, regulatory compliance, and greater organizational control over sensitive patient information.
By Component
The software/platform segment led the market with a 65.83% share in 2024, serving as the core engine for automated patient matching, eligibility checks, and protocol feasibility analysis. The services segment is expected to grow the fastest at a 13.44% CAGR, supported by rising demand for implementation, integration, and consulting services.
By Application
The patient recruitment and matching segment accounted for 45.34% of the market in 2024, boosted by real-time scalability and deep EHR integration. The data integration and interoperability segment recorded the fastest growth, with a 13.48% CAGR, as organizations increasingly seek to unify fragmented data across EHRs, laboratories, and wearable devices.
By End-User
Pharmaceutical and biotechnology companies led the market with a 60.86% share in 2024, driven by high clinical trial volume, significant R&D investments, and the urgency to accelerate patient enrollment. CROs (Contract Research Organizations) represent the fastest-growing end-user segment, expanding at a 13.86% CAGR, supported by the rising trend of outsourcing clinical development activities.
Regional Insights
- North America held a 48.60% share of the clinical trials matching software market in 2024, supported by strong healthcare IT adoption, a high volume of clinical trials, and the presence of major technology vendors.
- Asia Pacific is projected to be the fastest-growing region from 2025–2032, with a 13.94% CAGR, driven by expanding clinical trial activity, improving healthcare infrastructure, and government-backed digital health initiatives.
Recent Developments
- March 2024: Launched Watson for Clinical Trials Enrollment 2.0, improving AI-based patient matching using EHR data and cutting recruitment times by 30% in oncology and cardiology trials.
- July 2024: Expanded operations across Europe and APAC, adding AI-enabled patient engagement capabilities that enhanced decentralized trial enrollment, particularly in rare disease and oncology research.
- Software Adoption & AI Integration Metrics – Provides insights into global and regional usage of trial-matching platforms and shows how AI/ML-powered eligibility engines are improving patient-to-trial matching accuracy and speed.
- Patient Enrollment & Demographic Insights – Offers analysis of enrollment trends by age, condition, and region, and highlights how digital matching tools enhance success rates across different therapeutic areas.
- Interoperability & Platform Integration Index – Evaluates levels of EHR/EMR connectivity, API adoption among sponsors and CROs, and readiness for decentralized clinical trials (DCTs) to improve data flow and operational efficiency.
- Sponsor & Site Utilization Benchmarks – Compares software usage across pharmaceutical companies, biotech firms, CROs, and academic centers, quantifying improvements in site productivity and reductions in enrollment timelines.
- Cost Efficiency & ROI Analytics – Measures the financial impact of trial-matching solutions, including per-patient cost reductions, revenue gains from faster recruitment, and differences between SaaS and enterprise deployment models.
- Technological Competitiveness Landscape – Identifies top-performing vendors based on market adoption, platform innovation, and integration strength, outlining key opportunities for investment and growth in the clinical trial technology sector.
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