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시장보고서
상품코드
2091489
환자 매칭용 AI 기반 임상시험 솔루션 시장 규모, 점유율, 성장 분석 : 구성요소별, 도입 형태별, 기술별, 임상시험 단계별, 최종사용자별, 지역별 - 업계 예측(2026-2033년)AI-based Clinical Trial Solutions For Patient Matching Market Size, Share, and Growth Analysis, By Component, By Deployment Type, By Technology, By Clinical Trial Phase, By End User, By Region - Industry Forecast 2026-2033 |
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세계의 환자 매칭용 AI 기반 임상시험 솔루션 시장 규모는 2024년에 21억 달러로 평가되었으며, 2025년 26억 8,000만 달러에서 2033년까지 187억 달러로 확대되어 예측 기간(2026-2033년) 동안 CAGR 27.5%로 성장할 것으로 전망됩니다.
AI를 활용한 환자 매칭 플랫폼은 참가자 모집과 관련된 오랜 과제를 효과적으로 해결함으로써, 임상시험 피험자 등록에 혁명을 일으키고 있습니다. 이러한 첨단 솔루션은 전자건강기록, 유전체 데이터, 웨어러블 건강 기술을 활용하여 적격 환자와 적절한 연구 프로토콜을 연결해 주는 실시간 매칭 점수를 제공합니다. 임상시험 비용과 참가자 모집 지연 문제가 심각해지는 가운데, 클라우드 기반 플랫폼은 틈새 시장용 솔루션에서 널리 보급된 엔터프라이즈 솔루션으로 진화하여, 피험자의 다양성을 높이고 일정을 앞당기고 있습니다. 분산형 임상시험에 대한 규제상의 지원도 성장을 더욱 뒷받침하고 있으며, 후원사는 지금까지 접근할 수 없었던 환자 집단을 임상시험에 포함시킬 수 있게 되었습니다. 이러한 플랫폼에 실세계 증거를 통합함으로써 규정 준수를 강화하고 투자 기회를 촉진하며, 막대한 수익 창출 가능성을 열어주고 있습니다. 전반적으로 볼 때, AI를 활용한 환자 매칭은 전 세계적으로 임상시험 참여의 효율성과 유효성을 재정의하게 될 것입니다.
세계 환자 매칭용 AI 기반 임상시험 솔루션 시장의 성장요인
AI 알고리즘을 도입하여 전자건강기록, 유전체 정보, 실세계 증거를 효율적으로 분석함으로써, 임상시험에 적합한 참가자를 선별하는 과정이 대폭 개선될 것입니다. 이러한 혁신을 통해 수작업으로 진행되는 선별에 소요되는 시간을 최소화하고, 부적합 가능성을 줄이며, 피험자 등록 절차를 가속화함으로써, 의뢰사는 임상시험을 더 신속하게 시작할 수 있게 됩니다. 또한, 피험자 매칭 정확도가 향상됨에 따라 중도 탈락률이 감소하고, 자원 관리가 더욱 효과적이 되어, 궁극적으로 임상시험 전반의 효율이 향상됩니다. 이러한 발전으로 인해 다양한 치료 분야에서 AI 기반 솔루션의 수용과 도입이 촉진되고 있으며, 이는 전 세계 AI 기반 임상시험 솔루션 시장의 성장을 뒷받침하고 있습니다.
세계 환자 매칭용 AI 기반 임상시험 솔루션 시장의 제약요인
환자 데이터 공유와 관련된 엄격한 개인정보 보호 규제는 광범위하고 다양한 데이터세트에 의존하는 AI 플랫폼에게 큰 과제가 되고 있습니다. 조직은 종합적인 동의 프로토콜, 견고한 암호화 기술 및 철저한 감사 추적을 마련해야 합니다. 이는 운영 비용을 증가시킬 뿐만 아니라, 통합 과정을 상당히 길어지게 합니다. 또한, 규정 위반 가능성에 대한 우려는 특히 필요한 규정 준수 자원을 충분히 확보하지 못한 소규모 기관의 경우 도입률을 저해하는 요인이 될 수 있습니다. 그 결과, 이러한 환경은 환자 매칭용 AI 기반 임상시험 솔루션 분야의 시장 전반에 걸친 성장과 확산을 제한하고 있습니다.
세계 환자 매칭용 AI 기반 임상시험 솔루션 시장의 동향
세계 환자 매칭용 AI 기반 임상시험 솔루션 시장에서는 정밀성을 중시하는 코호트의 확충을 위한 뚜렷한 추세가 나타나고 있습니다. 유전체학 및 실세계 데이터(REW)의 발전을 활용함으로써, AI 플랫폼은 임상시험의 관련성과 성공률을 대폭 향상시키는, 매우 특이도가 높은 환자 하위 집단을 식별하는 능력을 점점 더 강화하고 있습니다. 분자 프로파일링과 전자건강기록을 원활하게 통합함으로써, 연구자들은 질병의 특징이 임상시험용 약물과 밀접하게 일치하는 환자를 신속하게 식별하고 모집할 수 있게 됩니다. 이러한 효율화된 접근 방식은 피험자 모집 기간을 단축할 뿐만 아니라, 시험 결과에 대한 규제 당국의 신뢰를 높여, 궁극적으로 임상 연구 분야의 추가적인 혁신과 효율화를 촉진하게 될 것입니다.
자주 묻는 질문
목차
소개
조사 방법
주요 요약
시장 역학과 전망
주요 시장 인사이트
세계의 환자 매칭용 AI 기반 임상시험 솔루션 시장 규모 : 구성요소별
세계의 환자 매칭용 AI 기반 임상시험 솔루션 시장 규모 : 전개 방식별
세계의 환자 매칭용 AI 기반 임상시험 솔루션 시장 규모 : 용도별
세계의 환자 매칭용 AI 기반 임상시험 솔루션 시장 규모 : 기술별
세계의 환자 매칭용 AI 기반 임상시험 솔루션 시장 규모 : 임상시험 단계별
세계의 환자 매칭용 AI 기반 임상시험 솔루션 시장 규모 : 최종사용자별
세계의 환자 매칭용 AI 기반 임상시험 솔루션 시장 규모 : 데이터 소스별
세계의 환자 매칭용 AI 기반 임상시험 솔루션 시장 규모 : 지역별
경쟁 정보
주요 기업 개요
결론과 제안
KSM 26.07.23Global 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
