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How Is The Market Size Of The Artificial Intelligence (AI)-Powered Clinical Trial Site Feasibility Market Expected To Change From 2026 To 2030?
The artificial intelligence (AI)-powered clinical trial site feasibility market has experienced considerable growth in recent years. Projections indicate it will rise from $1.53 billion in 2025 to $1.89 billion in 2026, achieving a compound annual growth rate (CAGR) of 23.6%. This historical expansion is attributable to factors such as the increasing complexity of clinical trial designs, rising cost pressures on drug development timelines, a growing reliance on data-driven trial planning, the expansion of global multi-site clinical trials, and the early adoption of predictive analytics in trial feasibility.
The market for artificial intelligence (AI)-powered clinical trial site feasibility is projected to experience rapid expansion over the coming years. This market is anticipated to reach a valuation of $4.38 billion by 2030, demonstrating a compound annual growth rate (CAGR) of 23.3%. Factors contributing to this anticipated growth include the wider acceptance of decentralized clinical trials, a greater need for expedited site activation, the expanding application of real-world evidence in making feasibility determinations, the proliferation of AI-enabled platforms for trial planning, and a heightened focus on reducing trial risks. Key trends expected during the forecast timeframe encompass the increasing implementation of AI-powered models for site selection, the growing utilization of predictive analytics for patient recruitment, the deeper incorporation of real-world data into feasibility evaluations, the expansion of cloud-hosted feasibility platforms, and an elevated emphasis on forecasting trial performance.
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What Key Factors Are Affecting The Artificial Intelligence (AI)-Powered Clinical Trial Site Feasibility Market Demand?
The increasing volume of clinical trials is anticipated to drive the expansion of the artificial intelligence (AI)-powered clinical trial site feasibility market moving ahead. These trials represent global clinical research investigations designed to evaluate the safety and effectiveness of novel medical treatments, drugs, and devices. The uptick in clinical trials is largely propelled by greater investment in biomedical research and development, as both governmental and private entities acknowledge the crucial need for innovative solutions to tackle evolving healthcare challenges. Such an expansion generates demand for AI-powered site feasibility tools, given that research organizations require efficient systems to pinpoint optimal study locations, evaluate site proficiencies, and forecast enrollment success rates. For example, in April 2025, the Multidisciplinary Digital Publishing Institute, a Switzerland-based publisher of open-access scientific journals, reported 404,637 interventional clinical trials on the clinicaltrials.gov webpage. Consequently, the surge in clinical trials is a primary impetus for the growth of the artificial intelligence (AI)-powered clinical trial site feasibility market.
How Is The Artificial Intelligence (AI)-Powered Clinical Trial Site Feasibility Market Categorized Across Its Segment Groups?
The artificial intelligence (AI)-powered clinical trial site feasibility market covered in this report is segmented –
1) By Component: Software, Services
2) By Deployment Mode: Cloud-Based, On-Premises
3) By Application: Site Selection, Patient Recruitment, Protocol Design, Performance Analytics, Other Applications
4) By End-User: Pharmaceutical Companies, Contract Research Organizations, Academic Research Institutes, Hospitals, Other End-Users
Subsegments:
1) By Software: Predictive Analytics Software, Machine Learning (ML) Platforms, Natural Language Processing (NLP) Tools, Data Visualization Software, Clinical Trial Management System (CTMS) Integration Software, Real-World Data (RWD) Analytics Software, Risk-Based Monitoring (RBM) Software
2) By Services: Feasibility Assessment Services, Site Selection Services, Patient Recruitment Support Services, Data Management And Analytics Services, Protocol Optimization Services, Regulatory Compliance Support Services, Consulting And Advisory Services
What Trends Are Influencing Changes In The Artificial Intelligence (AI)-Powered Clinical Trial Site Feasibility Market?
Major companies operating in the artificial intelligence-powered clinical trial site feasibility market are concentrating on developing advanced solutions, such as an artificial intelligence-powered feasibility and recruitment platform, to refine site selection and enhance overall operational efficiency in clinical trials. This type of platform is a software solution that leverages AI and machine learning to evaluate trial protocols and site data, aiming to identify optimal clinical sites and improve patient recruitment by efficiently matching eligible participants to accelerate trial timelines and boost study success. For instance, in June 2023, ObjectiveHealth, a US-based integrated research and technology platform company, introduced ObjectiveScreen. This artificial intelligence-powered feasibility and recruitment platform was designed to optimize clinical trial performance by enhancing patient identification, prequalification, and retention through real-time integration with electronic health records (EHRs) and the utilization of AI and machine learning algorithms. The platform allows clinical trial sites to directly connect with patient data, stratify health risks, and identify the most qualified candidates to accelerate enrollment and improve trial outcomes.
Which Firms Are Influencing Competition In The Artificial Intelligence (AI)-Powered Clinical Trial Site Feasibility Market?
Major companies operating in the artificial intelligence (AI)-powered clinical trial site feasibility market are Oracle Corporation, Thermo Fisher Scientific Inc., NVIDIA Corporation, IQVIA Holdings Inc., Labcorp Holdings Inc., Dassault Systèmes SE, Parexel International Corporation, ZS Associates Inc., Veeva Systems Inc., Verily Life Sciences LLC, Signant Health Holding Corp., Saama Technologies LLC, Elligo Health Research Inc., ConcertAI Inc., Medable Inc., Science 37 Inc., Castor EDC Inc., Unlearn.AI Inc., Antidote Technologies Inc., Deep 6 AI
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Which Region Is The Leading Market For The Artificial Intelligence (AI)-Powered Clinical Trial Site Feasibility Market?
North America was the largest region in the artificial intelligence (AI)-powered clinical trial site feasibility market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence (AI)-powered clinical trial site feasibility market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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