Product Code: GVR-4-68039-456-6
The global AI-based clinical trials solution provider market size was valued at USD 2.8 billion in 2025 and is projected to grow from USD 3.5 billion in 2026 to USD 17.1 billion by 2033, at a CAGR of 22.1% from 2026 to 2033. The North America market dominated with a revenue share of more than 43.0% in 2025. The growing adoption of AI-based platforms to enhance the efficacy and productivity of trials at various stages drives the market for AI-based clinical trial solution providers.
Supportive initiatives by the public and private sectors for different therapeutic areas are crucial in driving market growth. Furthermore, market players undertake several strategic initiatives to expand in the market. For instance, in March 2025, Tempus AI announced the acquisition of Deep 6 AI, aiming to expand its capabilities in clinical trial recruitment and real-world evidence generation through Deep 6 AI's technology and analyze structured and unstructured electronic medical record data across a network of more than 750 provider sites.
Using AI in drug trials enhances the clinical outcomes, cost, and time required for drug trials, as drug development is a cost-intensive and time-consuming process. For instance, in December 2025, Accenture announced a strategic investment through Accenture Ventures in Ryght AI. While addressing existing challenges in clinical trial processes, Rhyght AI's AI Site Twin platform develops digital models of clinical research sites, accessing historical performance, patient demographics, and operational data in real time. Such developments are key to the growth of this market.
Moreover, AI is instrumental in reducing bias in medical data. For instance, Genentech partnered with Stanford University to employ an open-source AI system to mitigate bias in drug trials. In addition, as the industry shifts from traditional to technology-based approaches, major pharmaceutical companies are increasingly adopting AI in clinical trials, thereby driving market growth.
Furthermore, the rising penetration of AI in drug trials and the availability of AI-based solutions in different aspects of clinical trials, such as patient enrichment & enrollment, drug trial design, investigator & site selection, medication adherence, and patient monitoring, among others, are fueling the market growth. Patient eligibility and enrollment are some of the important steps for the success of the overall drug trial. As per the research, 85% of the drug trials are stalled during patient recruitment, and 30% end early due to recruitment failure. The AI-based platforms are beneficial in lowering this hindrance. Hence, numerous researchers use AI for drug trials, fostering market growth.
Global AI-based Clinical Trials Solution Provider Market Report Segmentation
This report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends and opportunities in each of the sub-segments from 2021 to 2033. For this study, Grand View Research has segmented the global AI-based clinical trials solution provider market report based on therapeutic applications, clinical trial phase, end use, and region:
- Therapeutic Applications Outlook (Revenue, USD Billion, 2021 - 2033)
Oncology
CVD
Neurological Diseases or conditions
Metabolic diseases
Infectious diseases
Others
- Clinical Trial Phase (Revenue, USD Billion, 2021 - 2033)
Phase-I
Phase-II
Phase-III
- End Use Outlook (Revenue, USD Billion, 2021 - 2033)
Pharmaceutical Companies
Academia
Others
- Regional Outlook (Revenue, USD Billion, 2021 - 2033)
North America
Europe
- UK
- Germany
- France
- Italy
- Spain
- Denmark
- Sweden
- Norway
Asia Pacific
- Japan
- China
- India
- Australia
- South Korea
- Thailand
Latin America
Middle East & Africa
- South Africa
- Saudi Arabia
- UAE
- Kuwait
Table of Contents
Chapter 1. Methodology and Scope
- 1.1. Market Segmentation & Scope
- 1.1.1. Therapeutic applications
- 1.1.2. Clinical trial phase
- 1.1.3. End use
- 1.1.4. Regional scope
- 1.1.5. Estimates and forecast timeline.
- 1.2. Research Methodology
- 1.3. Information Procurement
- 1.3.1. Purchased database.
- 1.3.2. GVR's internal database
- 1.3.3. Secondary sources
- 1.3.4. Primary research
- 1.3.5. Details of primary research
- 1.4. Information or Data Analysis
- 1.4.1. Data analysis models
- 1.5. Market Formulation & Validation
- 1.6. Model Details
- 1.6.1. Commodity flow analysis (Model 1)
- 1.6.2. Approach 1: Commodity flow approach
- 1.7. List of Secondary Sources
- 1.8. List of Primary Sources
- 1.9. Objectives
Chapter 2. Executive Summary
- 2.1. Market Outlook
- 2.2. Segment Outlook
- 2.2.1. Therapeutic applications outlook
- 2.2.2. Clinical trial phase outlook
- 2.2.3. End use outlook
- 2.2.4. Regional outlook
- 2.3. Competitive Insights
Chapter 3. Market Variables, Trends & Scope
- 3.1. Market Lineage Outlook
- 3.1.1. Parent market outlook
- 3.1.2. Related/ancillary market outlook
- 3.2. Market Dynamics
- 3.2.1. Market driver analysis
- 3.2.2. Market restraint analysis
- 3.3. AI-Based Clinical Trials Solution Providers Market Analysis Tools
- 3.3.1. Industry Analysis - Porter's
- 3.3.1.1. Supplier power
- 3.3.1.2. Buyer power
- 3.3.1.3. Substitution threat
- 3.3.1.4. Threat of new entrant
- 3.3.1.5. Competitive rivalry
- 3.3.2. PESTEL Analysis
- 3.3.2.1. Political landscape
- 3.3.2.2. Economic landscape
- 3.3.2.3. Social landscape
- 3.3.2.4. Technological landscape
- 3.3.2.5. Environmental landscape
- 3.3.2.6. Legal landscape
- 3.3.3. COVID-19 Impact
- 3.4. Case Studies
Chapter 4. AI-Based Clinical Trials Solution Providers Market: Therapeutic Applications Estimates & Trend Analysis
- 4.1. Segment Dashboard
- 4.2. Therapeutic Applications Movement & Market Share Analysis, 2025 & 2033
- 4.3. Global AI-Based Clinical Trials Solution Providers Market by Therapeutic Applications Outlook
- 4.4. Oncology
- 4.4.1. Market estimates and forecast 2021 to 2033 (USD Million)
- 4.5. CVD
- 4.5.1. Market estimates and forecast 2021 to 2033 (USD Million) CVD
- 4.6. Neurological Diseases or Conditions
- 4.6.1. Market estimates and forecast 2021 to 2033 (USD Million)
- 4.7. Metabolic Diseases
- 4.7.1. Market estimates and forecast 2021 to 2033 (USD Million)
- 4.8. Infectious Diseases
- 4.8.1. Market estimates and forecast 2021 to 2033 (USD Million)
- 4.9. Others
- 4.9.1. Market estimates and forecast 2021 to 2033 (USD Million)
Chapter 5. AI-Based Clinical Trials Solution Providers Market: Clinical Trial Phase Estimates & Trend Analysis
- 5.1. Segment Dashboard
- 5.2. Clinical Trial Phase Movement & Market Share Analysis, 2025 & 2033
- 5.3. Global AI-Based Clinical Trials Solution Providers Market by Clinical Trial Phase Outlook
- 5.4. Phase-I
- 5.4.1. Market estimates and forecast 2021 to 2033 (USD Million)
- 5.5. Phase-II
- 5.5.1. Market estimates and forecast 2021 to 2033 (USD Million)
- 5.6. Phase-III
- 5.6.1. Market estimates and forecast 2021 to 2033 (USD Million)
Chapter 6. AI-Based Clinical Trials Solution Providers Market: End Use Estimates & Trend Analysis
- 6.1. Segment Dashboard
- 6.2. End Use Movement & Market Share Analysis, 2025 & 2033
- 6.3. Global AI-Based Clinical Trials Solution Providers Market by End Use Outlook
- 6.4. Pharmaceutical Companies
- 6.4.1. Market estimates and forecast 2021 to 2033 (USD Million)
- 6.5. Academia
- 6.5.1. Market estimates and forecast 2021 to 2033 (USD Million)
- 6.6. Others
- 6.6.1. Market estimates and forecast 2021 to 2033 (USD Million)
Chapter 7. AI-Based Clinical Trials Solution Providers Market: Regional Estimates & Trend Analysis, By Therapeutic Applications, By Clinical Trial Phase, By End Use
- 7.1. Regional Market Share Analysis, 2025 & 2033
- 7.2. Regional Market Dashboard
- 7.3. Global Regional Market Snapshot
- 7.4. Market Size, & Forecasts Trend Analysis, 2021 to 2033:
- 7.5. North America
- 7.5.1. U.S.
- 7.5.1.1. Key country dynamics
- 7.5.1.2. Regulatory framework/ reimbursement structure
- 7.5.1.3. Competitive scenario
- 7.5.1.4. U.S. market estimates and forecasts 2021 to 2033 (USD Million)
- 7.5.2. Canada
- 7.5.2.1. Key country dynamics
- 7.5.2.2. Regulatory framework/ reimbursement structure
- 7.5.2.3. Competitive scenario
- 7.5.2.4. Canada market estimates and forecasts 2021 to 2033 (USD Million)
- 7.6. Europe
- 7.6.1. UK
- 7.6.1.1. Key country dynamics
- 7.6.1.2. Regulatory framework/ reimbursement structure
- 7.6.1.3. Competitive scenario
- 7.6.1.4. UK market estimates and forecasts 2021 to 2033 (USD Million)
- 7.6.2. Germany
- 7.6.2.1. Key country dynamics
- 7.6.2.2. Regulatory framework/ reimbursement structure
- 7.6.2.3. Competitive scenario
- 7.6.2.4. Germany market estimates and forecasts 2021 to 2033 (USD Million)
- 7.6.3. France
- 7.6.3.1. Key country dynamics
- 7.6.3.2. Regulatory framework/ reimbursement structure
- 7.6.3.3. Competitive scenario
- 7.6.3.4. France market estimates and forecasts 2021 to 2033 (USD Million)
- 7.6.4. Italy
- 7.6.4.1. Key country dynamics
- 7.6.4.2. Regulatory framework/ reimbursement structure
- 7.6.4.3. Competitive scenario
- 7.6.4.4. Italy market estimates and forecasts 2021 to 2033 (USD Million)
- 7.6.5. Spain
- 7.6.5.1. Key country dynamics
- 7.6.5.2. Regulatory framework/ reimbursement structure
- 7.6.5.3. Competitive scenario
- 7.6.5.4. Spain market estimates and forecasts 2021 to 2033 (USD Million)
- 7.6.6. Norway
- 7.6.6.1. Key country dynamics
- 7.6.6.2. Regulatory framework/ reimbursement structure
- 7.6.6.3. Competitive scenario
- 7.6.6.4. Norway market estimates and forecasts 2021 to 2033 (USD Million)
- 7.6.7. Sweden
- 7.6.7.1. Key country dynamics
- 7.6.7.2. Regulatory framework/ reimbursement structure
- 7.6.7.3. Competitive scenario
- 7.6.7.4. Sweden market estimates and forecasts 2021 to 2033 (USD Million)
- 7.6.8. Denmark
- 7.6.8.1. Key country dynamics
- 7.6.8.2. Regulatory framework/ reimbursement structure
- 7.6.8.3. Competitive scenario
- 7.6.8.4. Denmark market estimates and forecasts 2021 to 2033 (USD Million)
- 7.7. Asia Pacific
- 7.7.1. Japan
- 7.7.1.1. Key country dynamics
- 7.7.1.2. Regulatory framework/ reimbursement structure
- 7.7.1.3. Competitive scenario
- 7.7.1.4. Japan market estimates and forecasts 2021 to 2033 (USD Million)
- 7.7.2. China
- 7.7.2.1. Key country dynamics
- 7.7.2.2. Regulatory framework/ reimbursement structure
- 7.7.2.3. Competitive scenario
- 7.7.2.4. China market estimates and forecasts 2021 to 2033 (USD Million)
- 7.7.3. India
- 7.7.3.1. Key country dynamics
- 7.7.3.2. Regulatory framework/ reimbursement structure
- 7.7.3.3. Competitive scenario
- 7.7.3.4. India market estimates and forecasts 2021 to 2033 (USD Million)
- 7.7.4. Australia
- 7.7.4.1. Key country dynamics
- 7.7.4.2. Regulatory framework/ reimbursement structure
- 7.7.4.3. Competitive scenario
- 7.7.4.4. Australia market estimates and forecasts 2021 to 2033 (USD Million)
- 7.7.5. South Korea
- 7.7.5.1. Key country dynamics
- 7.7.5.2. Regulatory framework/ reimbursement structure
- 7.7.5.3. Competitive scenario
- 7.7.5.4. South Korea market estimates and forecasts 2021 to 2033 (USD Million)
- 7.7.6. Thailand
- 7.7.6.1. Key country dynamics
- 7.7.6.2. Regulatory framework/ reimbursement structure
- 7.7.6.3. Competitive scenario
- 7.7.6.4. Singapore market estimates and forecasts 2021 to 2033 (USD Million)
- 7.8. Latin America
- 7.8.1. Brazil
- 7.8.1.1. Key country dynamics
- 7.8.1.2. Regulatory framework/ reimbursement structure
- 7.8.1.3. Competitive scenario
- 7.8.1.4. Brazil market estimates and forecasts 2021 to 2033 (USD Million)
- 7.8.2. Mexico
- 7.8.2.1. Key country dynamics
- 7.8.2.2. Regulatory framework/ reimbursement structure
- 7.8.2.3. Competitive scenario
- 7.8.2.4. Mexico market estimates and forecasts 2021 to 2033 (USD Million)
- 7.8.3. Argentina
- 7.8.3.1. Key country dynamics
- 7.8.3.2. Regulatory framework/ reimbursement structure
- 7.8.3.3. Competitive scenario
- 7.8.3.4. Argentina market estimates and forecasts 2021 to 2033 (USD Million)
- 7.9. MEA
- 7.9.1. South Africa
- 7.9.1.1. Key country dynamics
- 7.9.1.2. Regulatory framework/ reimbursement structure
- 7.9.1.3. Competitive scenario
- 7.9.1.4. South Africa market estimates and forecasts 2021 to 2033 (USD Million)
- 7.9.2. Saudi Arabia
- 7.9.2.1. Key country dynamics
- 7.9.2.2. Regulatory framework/ reimbursement structure
- 7.9.2.3. Competitive scenario
- 7.9.2.4. Saudi Arabia market estimates and forecasts 2021 to 2033 (USD Million)
- 7.9.3. UAE
- 7.9.3.1. Key country dynamics
- 7.9.3.2. Regulatory framework/ reimbursement structure
- 7.9.3.3. Competitive scenario
- 7.9.3.4. UAE market estimates and forecasts 2021 to 2033 (USD Million)
- 7.9.4. Kuwait
- 7.9.4.1. Key country dynamics
- 7.9.4.2. Regulatory framework/ reimbursement structure
- 7.9.4.3. Competitive scenario
- 7.9.4.4. Kuwait market estimates and forecasts 2021 to 2033 (USD Million)
Chapter 8. Competitive Landscape
- 8.1. Recent Developments & Impact Analysis, By Key Market Participants
- 8.2. Company/Competition Categorization
- 8.3. Key company market share/position analysis, 2025
- 8.4. Company Profiles
- 8.4.1. Unlearn.ai, Inc.
- 8.4.1.1. Company overview
- 8.4.1.2. Financial performance
- 8.4.1.3. Technology Type benchmarking
- 8.4.1.4. Strategic initiatives
- 8.4.2. Saama
- 8.4.2.1. Company overview
- 8.4.2.2. Financial performance
- 8.4.2.3. Technology Type benchmarking
- 8.4.2.4. Strategic initiatives
- 8.4.3. Antidote Technologies, Inc.
- 8.4.3.1. Company overview
- 8.4.3.2. Financial performance
- 8.4.3.3. Technology Type benchmarking
- 8.4.3.4. Strategic initiatives
- 8.4.4. Phesi
- 8.4.4.1. Company overview
- 8.4.4.2. Financial performance
- 8.4.4.3. Technology Type benchmarking
- 8.4.4.4. Strategic initiatives
- 8.4.5. Deep6.ai
- 8.4.5.1. Company overview
- 8.4.5.2. Financial performance
- 8.4.5.3. Technology Type benchmarking
- 8.4.5.4. Strategic initiatives
- 8.4.6. Innoplexus
- 8.4.6.1. Company overview
- 8.4.6.2. Financial performance
- 8.4.6.3. Technology Type benchmarking
- 8.4.6.4. Strategic initiatives
- 8.4.7. Mendel Health Inc.
- 8.4.7.1. Company overview
- 8.4.7.2. Financial performance
- 8.4.7.3. Technology Type benchmarking
- 8.4.7.4. Strategic initiatives
- 8.4.8. Intelligencia AI
- 8.4.8.1. Company overview
- 8.4.8.2. Financial performance
- 8.4.8.3. Technology Type benchmarking
- 8.4.8.4. Strategic initiatives
- 8.4.9. Median Technologies
- 8.4.9.1. Company overview
- 8.4.9.2. Financial performance
- 8.4.9.3. Technology Type benchmarking
- 8.4.9.4. Strategic initiatives
- 8.4.10. SymphonyAI
- 8.4.10.1. Company overview
- 8.4.10.2. Financial performance
- 8.4.10.3. Technology Type benchmarking
- 8.4.10.4. Strategic initiatives
- 8.4.11. BioAge Labs, Inc.
- 8.4.11.1. Company overview
- 8.4.11.2. Financial performance
- 8.4.11.3. Technology Type benchmarking
- 8.4.11.4. Strategic initiatives
- 8.4.12. AiCure
- 8.4.12.1. Company overview
- 8.4.12.2. Financial performance
- 8.4.12.3. Technology Type benchmarking
- 8.4.12.4. Strategic initiatives
- 8.4.13. Consilx
- 8.4.13.1. Company overview
- 8.4.13.2. Financial performance
- 8.4.13.3. Technology Type benchmarking
- 8.4.13.4. Strategic initiatives
- 8.4.14. DeepLens.AI
- 8.4.14.1. Company overview
- 8.4.14.2. Financial performance
- 8.4.14.3. Technology Type benchmarking
- 8.4.14.4. Strategic initiatives
- 8.4.15. HaloHealth
- 8.4.15.1. Company overview
- 8.4.15.2. Financial performance
- 8.4.15.3. Technology Type benchmarking
- 8.4.15.4. Strategic initiatives
- 8.4.16. PHARMASEAL
- 8.4.16.1. Company overview
- 8.4.16.2. Financial performance
- 8.4.16.3. Technology Type benchmarking
- 8.4.16.4. Strategic initiatives
- 8.4.17. Ardigen
- 8.4.17.1. Company overview
- 8.4.17.2. Financial performance
- 8.4.17.3. Technology Type benchmarking
- 8.4.17.4. Strategic initiatives
- 8.4.18. Trials.ai
- 8.4.18.1. Company overview
- 8.4.18.2. Financial performance
- 8.4.18.3. Technology Type benchmarking
- 8.4.18.4. Strategic initiatives
- 8.4.19. Koneksa Health
- 8.4.19.1. Company overview
- 8.4.19.2. Financial performance
- 8.4.19.3. Technology Type benchmarking
- 8.4.19.4. Strategic initiatives
- 8.4.20. Euretos
- 8.4.20.1. Company overview
- 8.4.20.2. Financial performance
- 8.4.20.3. Technology Type benchmarking
- 8.4.20.4. Strategic initiatives
- 8.4.21. BioSymetrics, Inc.
- 8.4.21.1. Company overview
- 8.4.21.2. Financial performance
- 8.4.21.3. Technology Type benchmarking
- 8.4.21.4. Strategic initiatives
- 8.4.22. Verily (Google LLC)
- 8.4.22.1. Company overview
- 8.4.22.2. Financial performance
- 8.4.22.3. Technology Type benchmarking
- 8.4.22.4. Strategic initiatives
- 8.4.23. Aitia
- 8.4.23.1. Company overview
- 8.4.23.2. Financial performance
- 8.4.23.3. Technology Type benchmarking
- 8.4.23.4. Strategic initiatives
- 8.4.24. IBM
- 8.4.24.1. Company overview
- 8.4.24.2. Financial performance
- 8.4.24.3. Technology Type benchmarking
- 8.4.24.4. Strategic initiatives
- 8.4.25. Exscientia
- 8.4.25.1. Company overview
- 8.4.25.2. Financial performance
- 8.4.25.3. Technology Type benchmarking
- 8.4.25.4. Strategic initiatives