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AI in Clinical Trials Market to Reach USD 9.4 Billion by 2030

12-02-2025 10:03 AM CET | Business, Economy, Finances, Banking & Insurance

Press release from: Exactitude Consultancy

AI in Clinical Trials Market

AI in Clinical Trials Market

Introduction
Pune, India - Exactitude Consultancy releases its latest analysis on the AI in Clinical Trials Market, showcasing how artificial intelligence is fundamentally reshaping clinical development. With rising R&D costs, longer trial timelines, and increasing complexity of precision-medicine-driven studies, AI is enabling faster, smarter, and more efficient clinical research.

AI's ability to process real-world data, predict outcomes, automate patient matching, and streamline site monitoring is positioning it as a critical technology for the next generation of global drug development.

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Key Takeaways
• Market Size (2030): USD 9.4 Billion
• CAGR (2025-2030): 26.7%
• Oncology trials are the largest adopters of AI-driven optimization.
• Predictive analytics and automated patient recruitment are the highest-impact use cases.
• North America leads; Asia Pacific is the fastest-growing region.

Market Story: Why AI Is Becoming Essential in Clinical Trials
Traditional clinical trials face hurdles:
✔︎ Slow patient recruitment
✔︎ High dropout rates
✔︎ Rising operational costs
✔︎ Complex multi-site global coordination
✔︎ Manual processes causing delays
✔︎ Difficulty identifying ideal trial candidates
AI solves these challenges by enabling:
• Predictive patient recruitment using EHRs, claims data & real-world evidence
• AI-generated protocol optimization reducing protocol deviations
• Automated site feasibility analysis
• Virtual & decentralized clinical trial management
• Real-time patient monitoring & adherence prediction
• AI-based safety signal detection
• Faster biomarker discovery for precision medicine
AI is reducing trial timelines, improving accuracy, and increasing success rates-significantly lowering the cost of drug development.

Explore Full Report here:
https://exactitudeconsultancy.com/reports/73717/ai-in-clinical-trials-market

Market Segments
By Component
• Software Platforms (Largest Share)
• AI Tools & Modules
• Services (Integration, Validation, Analytics)

By Application
• Patient Recruitment & Matching (Fastest Growing)
• Clinical Trial Simulation & Design
• Site Selection & Feasibility
• Risk-Based Monitoring
• Safety Analysis & Pharmacovigilance
• Biomarker Identification
• Decentralized / Virtual Clinical Trials (DCT)
• Real-World Evidence Analysis

By Therapeutic Area
• Oncology (Largest Adoption)
• Cardiovascular Diseases
• CNS Disorders
• Immunology & Inflammatory Diseases
• Rare Diseases
• Infectious Diseases
• Others

By End User
• Pharmaceutical Companies
• Biotechnology Firms
• Clinical Research Organizations (CROs)
• Academic Research Centers
• Regulatory Agencies
• Health-Tech & AI Companies

By Region
• North America - Advanced AI integration and major pharma/CRO presence
• Europe - Strong clinical innovation and AI regulatory frameworks
• Asia Pacific - Fastest growth due to trial cost advantages and digital expansion
• Latin America - Increasing hybrid trial adoption
• Middle East & Africa - Emerging AI pilots in clinical research

Recent Developments
• IQVIA expanded AI-enabled Site Intelligence tools for faster feasibility assessments.
• Medidata integrated generative AI to improve trial design and automate reporting.
• Pfizer and Roche invested heavily in AI for oncology trial acceleration.
• Google DeepMind enhanced its biomedical AI models to support biomarker identification.
• Oracle & Veeva Systems launched new AI modules for risk-based monitoring and data cleaning.

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Expert Quote
"AI is transforming clinical trials from slow, manual processes into intelligent, data-driven systems. From patient recruitment to outcome prediction, AI is shortening development timelines and making trials more successful and efficient worldwide,"
- Irfan Tamboli, Business Development Executive, Exactitude Consultancy

Key Drivers
• Rising complexity of precision medicine & biomarker-driven trials
• Need for faster recruitment & improved patient retention
• Growing adoption of decentralized & hybrid trial models
• Increased availability of real-world data (RWE)
• Higher regulatory acceptance of AI-driven trial methods
• Growth in oncology, rare disease, and personalized therapy research

Forecast Outlook (2025-2030)
The AI in Clinical Trials Market is forecast to grow at a robust 26.7% CAGR, driven by increased digital transformation across pharma R&D, expanding decentralized trials, and rising application of predictive analytics and machine learning. By 2030, AI will be embedded into every major step of the clinical research value chain.

Regional Insights
• North America:
o Strongest adoption due to large-scale pharma R&D investments
• Europe:
o High regulatory support for data-driven research
• Asia Pacific:
o Fastest growth with expanding clinical trial infrastructure

Conclusion
AI is revolutionizing clinical research by improving efficiency, accuracy, and patient engagement. From predictive modeling to decentralized trial execution, AI is enabling faster development of safer and more effective therapeutics-pushing the global pharmaceutical industry toward a smarter future.

This report is also available in the following languages : Japanese (臨床試験市場におけるAI), Korean (임상 시험 시장의 AI), Chinese (人工智能在临床试验市场), French (Marché de l'IA dans les essais cliniques), German (Markt für KI in klinischen Studien), and Italian (Intelligenza artificiale nel mercato degli studi clinici), etc.

Request for a sample of this research report at (Use Corporate Mail ID for Quick Response) @
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Connect Us:
Irfan Tamboli
PHONE NUMBER +1 (704) 266-3234
EMAIL ADDRESS: sales@exactitudeconsultancy.com

About Us
Exactitude Consultancy is a market research & consulting services firm which helps its client to address their most pressing strategic and business challenges. Our market research helps clients to address critical business challenges and also helps make optimized business decisions with our fact-based research insights, market intelligence, and accurate data.

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