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Global Artificial Intelligence (AI) in Clinical Trials Market

Publisher BCC Research
Published Oct 29, 2025
Length 153 Pages
SKU # WA20524500

Description

Report Scope

The report examines trends in the global market for AI in clinical trials. It segments the global market by component, phase, deployment mode, therapeutic area and end user. It also provides insights into key emerging trends and potential growth drivers. Components consist of software and services. Deployment mode include cloud, on-premise, and hybrid. Therapeutic areas include cancers, infectious diseases and neurological diseases. End users include pharmaceutical and biotech companies, contract research organizations (CROs), and research and academic institutes.

The report’s regional analysis covers North America, Europe, Asia-Pacific, South America, and the Middle East and Africa. It evaluates the impact of AI adoption in clinical trials and the market dynamics, including drivers and challenges. The study concludes with an analysis of leading companies in the market and their product portfolios.

It includes global revenue ($ millions) for the base year of 2024, estimates for 2025, and data for the forecast period of 2026 through 2030.

Report Includes
  • 56 data tables and 52 additional tables
  • In-depth analysis of the global market for artificial intelligence (AI) in pharmaceutical clinical trials
  • Analyses of the global market trends, with historic revenue data from 2022 to 2024, estimates for 2025, and projections of CAGRs through 2030
  • Estimates of the market’s size and revenue growth prospects, accompanied by a market share analysis by offerings, deployment type, trial phase, therapeutic area, end user and region
  • Facts and figures pertaining to market dynamics, technological advances, regulations, prospects and the impacts of macroeconomic variables
  • Impact analysis of U.S. tariff laws on AI in the clinical trials market
  • Insights derived from Porter’s Five Forces model, as well as a global supply chain analysis
  • A look at the regulatory landscape featuring key international and regional regulations and standards for AI adoption
  • Evaluation of recent patent activity and key granted and published patents
  • Overview of sustainability trends and ESG developments, with emphasis on consumer attitudes, and the ESG scores and practices of leading companies
  • Analysis of the industry structure, including companies’ market shares and rankings, strategic alliances, M&A activity and a venture funding outlook
  • Company profiles of major players within the industry, including IQVIA, Medidata, Saama, Merative, and Nvidia Corp.


Companies Mentioned

Aicure
Concertai
Dnanexus Inc.
Insilico Medicine
Intelligencia Ai
Iqvia
Medidata
Merative
Nvidia Corp.
Phesi
Saama
Tempus
Trinetx Llc
Triomics
Unlearn.Ai Inc.

Table of Contents

153 Pages
Chapter 1 Executive Summary
Market Outlook
Scope of Report
Market Summary
Chapter 2 Market Overview
Overview
Future Outlook
Macroeconomic Factors
Global GDP Growth
Demographic Factors
Impact of U.S. Tariffs
Porter's Five Forces Analysis
Impact of AI Adoption on Clinical Trials Market
Overview
Use Cases/Case Studies
Use Case 1: Oncology Patient Recruitment
Use Case 2: Accelerating Data Processing in Infectious Disease Vaccine Trials
Use Case 3: Enhancing Patient Retention in Alzheimer's Disease Trials
AI Adoption: Clinical Trials
Adoption Trends at Regional/Country Levels
AI Disruption Trends
Impact of AI on Industry Verticals
Impact of AI on the Value Chain
Market Spending and Investment
Market Spending and Forecasting Analysis
Venture Capital Investment in AI Focused on Clinical Trials
Chapter 3 Market Dynamics
Market Drivers
Need for a Faster Drug Development Process
AI-driven Clinical Trials
Advanced Data Handling for Complex Clinical Input
Market Restraints
Data Privacy and Security Concerns
Regulatory Uncertainties
High Costs and Technical Complexity
Market Opportunities
Accelerated Trials Through Adaptive AI Design
AI-Augmented Remote Patient Monitoring
Chapter 4 Regulatory Landscape
Regulatory Framework
Chapter 5 Emerging Technologies
Overview
Emerging Technologies
Machine Learning for Predictive Analytics and Stratification
Digital Twin Technology
NLP for Extracting Insights from Unstructured Data
AI-Powered Trial Design and Optimization
Blockchain for Secure Clinical Data Management
Decentralized and Virtual Trial Platforms
Remote Monitoring Via Wearable Technologies
Generative AI for Protocol Authoring
Real-World Evidence Integration in Clinical Trials
Cloud-based AI Platforms for Scalable Deployment
Clinical Trial Analysis
Takeaways
Chapter 6 Market Segmentation Analysis
Segmentation Breakdown
Global Market for AI in Clinical Trials, by Component
Takeaways
Software
Services
Global AI in Clinical Trials Market, by Phase
Takeaways
Phase III
Phase II Trials
Phase I
Phase IV Clinical Trials
Global Market for AI in Clinical Trials, by Deployment Mode
Takeaways
Cloud
On-premise
Hybrid Deployments
Global Market for AI in Clinical Trials, by Therapeutic Area
Takeaways
Oncology
Infectious Disease Clinical Trials
Neurological Diseases
Other Conditions
Global Market for AI in Clinical Trials, by End User
Takeaways
Pharmaceutical and Biotech Companies
Contract Research Organizations
Research and Academic Institutes
Other End Users
Geographic Breakdown
North America
Europe
Asia-Pacific
Middle East and Africa
South America
Chapter 7 Competitive Intelligence
Overview
Chapter 8 Sustainability in AI in Clinical Trials: ESG Perspective
Sustainability Trends and AI Initiatives
Concluding Remarks
Chapter 9 Appendix
Methodology
Sources
Abbreviations
Company Profiles
AICURE
CONCERTAI
DNANEXUS INC.
INSILICO MEDICINE
INTELLIGENCIA AI
IQVIA
MEDIDATA
MERATIVE
NVIDIA CORP.
PHESI
SAAMA
TEMPUS
TRINETX LLC
TRIOMICS
UNLEARN.AI INC.
Emerging Start-ups/ Market Disruptors

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