AI in Clinical Trials Market to Reach USD 8.24 Billion by 2031, Driven by Data-Led Drug Development and Expanding Cross-Industry Partnerships

Explore the AI in clinical trials market (2026-2031) with Mordor IntelligenceTM. Get in-depth insights on market size, share, revenue, segments, key drivers, latest trends, and growth opportunities shaping the future of sustainable construction.

AI in Clinical Trials Market Overview and Introduction

The AI in clinical trials market is gaining steady traction as pharmaceutical and biotechnology companies increasingly rely on data-driven approaches to improve research efficiency. According to Mordor Intelligence, the AI in clinical trials market size is estimated at USD 2.68 billion in 2026, rising from USD 2.14 billion in 2025, and projected to reach USD 8.24 billion by 2031, growing at a CAGR of 25.19% during the forecast period.

The AI in clinical trials market growth is driven by the need to shorten development timelines, improve patient recruitment, and control rising research costs. Companies are using AI across trial design, patient matching, and data analysis to support better decisions, while real-world data from electronic health records and wearables is strengthening trial insights. At the same time, growing regulatory acceptance of AI methods, including synthetic control arms, is supporting wider adoption and shaping the overall AI in clinical trials market forecast and opportunities within the AI in clinical trials industry.

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AI in Clinical Trials Market Trends

Growing Cross-Industry Collaborations

Collaborations between pharmaceutical companies and AI solution providers are becoming more common. These partnerships help integrate analytics across trial workflows, from protocol design to regulatory submissions. Organizations are treating such collaborations as long-term strategic investments, particularly in complex therapeutic areas.

Rising Focus on Cost and Time Efficiency

Managing the cost and duration of clinical trials remains a key priority. AI tools are being used to optimize protocols, automate data capture, and improve patient recruitment processes. Predictive models enable faster identification of suitable participants, reducing delays and improving trial efficiency.

Emergence of Advanced AI Models

Healthcare-focused AI models are being developed to handle complex clinical data. These models support better patient stratification, endpoint prediction, and safety monitoring, improving overall trial accuracy.

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AI in Clinical Trials Market Segmentation

By Component Type

Software

Services

By Therapeutic Area

Oncology

Infectious Diseases

Cardiovascular Diseases

Others

By Clinical Trial Phase

Phase I

Phase II

Phase III

Phase IV

By Deployment Model

Cloud-Based

On-Premise

Hybrid

By End User

Pharmaceutical and Biotech Companies

Contract Research Organizations

Academic and Research Institutions

By Geography

North America

Europe

Asia-Pacific

Middle East and Africa

South America

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AI in Clinical Trials Market Key Players

Medidata (Dassault Systèmes)

IQVIA

Unlearn.ai

Owkin

Saama Technologies

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Conclusion

The AI in clinical trials market is expected to maintain strong momentum as the healthcare industry continues to adopt data-centric approaches. The increasing complexity of clinical studies, along with the need for faster and more efficient drug development, is encouraging wider use of AI solutions.

The growing use of real-world data and personalized medicine approaches will further shape the future of the AI in clinical trials market growth. Overall, the AI in clinical trials market forecast indicates a steady expansion driven by collaboration, improved analytics, and the ongoing need to enhance clinical trial outcomes.

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https://www.mordorintelligence.com/industry-reports/ai-in-precision-medicine-market?utm_source=openpr

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This release was published on openPR.