AI-Enabled Drug Discovery and Clinical Trials Market Size, Share & Trends Analysis Report By Component Scope (Solutions, Services), By Application, By Therapeutic Application, By End-Users, By Region, And By Segment Forecasts, 2025-2034

Report Id: 1239 Pages: 190 Last Updated: 13 March 2025 Format: PDF / PPT / Excel / Power BI
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Segmentation of AI-Enabled Drug Discovery and Clinical Trials Market-

By Component Scope-

  • Solutions
  • Services

drug discovery

By Application

  • Data Aggregation and Analysis
  • Clinical Trials
  • Drug Design
  • Drug Characterization
  • Biomarker Research

By Therapeutic Application

  • Oncology
  • Cardiovascular Diseases
  • Nervous System Diseases
  • Respiratory Disorder
  • Metabolic Diseases
  • Immunologic Diseases
  • Infectious Diseases

By End-Users

  • Biopharmaceutical Industry
  • Contract Research Organizations (CROs)
  • Academic Institutes and Research Centers

By Region-

North America-

  • The US
  • Canada
  • Mexico

Europe-

  • Germany
  • The UK
  • France
  • Italy
  • Spain
  • Rest of Europe

Asia-Pacific-

  • China
  • Japan
  • India
  • South Korea
  • South East Asia
  • Rest of Asia Pacific

Latin America-

  • Brazil
  • Argentina
  • Rest of Latin America

 Middle East & Africa-

  • GCC Countries
  • South Africa
  • Rest of Middle East and Africa

Chapter 1. Methodology and Scope

1.1. Research Methodology

1.2. Research Scope & Assumptions

Chapter 2. Executive Summary

Chapter 3. Global AI-Enabled Drug Discovery and Clinical Trials Market Snapshot

Chapter 4. Global AI-Enabled Drug Discovery and Clinical Trials Market Variables, Trends & Scope

4.1. Market Segmentation & Scope

4.2. Drivers

4.3. Challenges

4.4. Trends

4.5. Industry Analysis – Porter’s Five Forces Analysis

4.6. Competitive Landscape

4.7. Technology Advancement in Global AI-Enabled Drug Discovery and Clinical Trials Market

Chapter 5. Market Segmentation 1: Component Estimates & Trend Analysis

5.1. Component Type & Market Share, 2024 & 2034

5.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2021 to 2034 for the following Component:

5.2.1. Solutions

5.2.2. Services

Chapter 6. Market Segmentation 2: Application & Trend Analysis

6.1. Application & Market Share, 2024 & 2034

6.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2021 to 2034 for the following Application:

6.2.1. Data Aggregation and Analysis

6.2.2. Clinical Trials

6.2.3. Drug Design

6.2.4. Drug Characterization

6.2.5. Biomarker Research

Chapter 7. Market Segmentation 3: Therapeutic Application Estimates & Trend Analysis

7.1. Therapeutic Application & Market Share, 2024 & 2034

7.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2021 to 2034 for the following Therapeutic Application:

7.2.1. Oncology

7.2.2. Cardiovascular Diseases

7.2.3. Nervous System Diseases

7.2.4. Respiratory Disorder

7.2.5. Metabolic Diseases

7.2.6. Immunologic Diseases

7.2.7. Infectious Diseases

Chapter 8. Global AI-Enabled Drug Discovery and Clinical Trials Market Segmentation 4: End-Users Estimates & Trend Analysis

8.1. End-Users Analysis & Market Share, 2024 & 2034

8.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2021 to 2034 for the following End-Users:

8.2.1. Biopharmaceutical Industry

8.2.2. Contract Research Organizations (CROs)

8.2.3. Academic Institutes and Research Centers

Chapter 9. Global AI-Enabled Drug Discovery and Clinical Trials Market Segmentation 3: Regional Estimates & Trend Analysis

9.1. North America

9.1.1. North America Global AI-Enabled Drug Discovery and Clinical Trials Market revenue (US$ Million) estimates and forecasts by Component, 2021-2034

9.1.2. North America Global AI-Enabled Drug Discovery and Clinical Trials Market revenue (US$ Million) estimates and forecasts by Application, 2021-2034

9.1.3. North America Global AI-Enabled Drug Discovery and Clinical Trials Market revenue (US$ Million) estimates and forecasts by Therapeutic Application, 2021-2034

9.1.4. North America Global AI-Enabled Drug Discovery and Clinical Trials Market revenue (US$ Million) estimates and forecasts by End-Users, 2021-2034

9.1.5. North America Global AI-Enabled Drug Discovery and Clinical Trials Market revenue (US$ Million) estimates and forecasts by country, 2021-2034

9.1.5.1. U.S.

9.1.5.2. Canada

9.2. Europe

9.2.1. Europe Global AI-Enabled Drug Discovery and Clinical Trials Market revenue (US$ Million) by Component, 2021-2034

9.2.2. Europe Global AI-Enabled Drug Discovery and Clinical Trials Market revenue (US$ Million) estimates and forecasts by Application, 2021-2034

9.2.3. Europe Global AI-Enabled Drug Discovery and Clinical Trials Market revenue (US$ Million) estimates and forecasts by Therapeutic Application, 2021-2034

9.2.4. Europe Global AI-Enabled Drug Discovery and Clinical Trials Market revenue (US$ Million) by End-Users, 2021-2034

9.2.5. Europe Global AI-Enabled Drug Discovery and Clinical Trials Market revenue (US$ Million) by country, 2021-2034

9.2.5.1. Germany

9.2.5.2. Poland

9.2.5.3. France

9.2.5.4. Italy

9.2.5.5. Spain

9.2.5.6. UK

9.2.5.7. Rest of Europe

9.3. Asia Pacific

9.3.1. Asia Pacific Global AI-Enabled Drug Discovery and Clinical Trials Market revenue (US$ Million) by Component, 2021-2034

9.3.2. Asia Pacific Global AI-Enabled Drug Discovery and Clinical Trials Market revenue (US$ Million) estimates and forecasts by Application, 2021-2034

9.3.3. Asia pacific Global AI-Enabled Drug Discovery and Clinical Trials Market revenue (US$ Million) estimates and forecasts by Therapeutic Application, 2021-2034

9.3.4. Asia Pacific Global AI-Enabled Drug Discovery and Clinical Trials Market revenue (US$ Million) by End-Users, 2021-2034

9.3.5. Asia Pacific Global AI-Enabled Drug Discovery and Clinical Trials Market revenue (US$ Million) by country, 2021-2034

9.3.5.1. China

9.3.5.2. India

9.3.5.3. Japan

9.3.5.4. Australia

9.3.5.5. Rest of Asia Pacific

9.4. Latin America

9.4.1. Latin America Global AI-Enabled Drug Discovery and Clinical Trials Market revenue (US$ Million) by Component, 2021-2034

9.4.2. Latin America Global AI-Enabled Drug Discovery and Clinical Trials Market revenue (US$ Million) estimates and forecasts by Application, 2021-2034

9.4.3. Latin America Global AI-Enabled Drug Discovery and Clinical Trials Market revenue (US$ Million) estimates and forecasts by Therapeutic Application, 2021-2034

9.4.4. Latin America Global AI-Enabled Drug Discovery and Clinical Trials Market revenue (US$ Million) by End-Users, 2021-2034

9.4.5. Latin America Global AI-Enabled Drug Discovery and Clinical Trials Market revenue (US$ Million) by country, (US$ Million) 2021-2034

9.4.5.1. Brazil

9.4.5.2. Rest of Latin America

9.5. MEA

9.5.1. MEA revenue Global AI-Enabled Drug Discovery and Clinical Trials Market revenue (US$ Million) by Component, (US$ Million) 2021-2034

9.5.2. MEA Global AI-Enabled Drug Discovery and Clinical Trials Market revenue (US$ Million) estimates and forecasts by Application, 2021-2034

9.5.3. MEA Global AI-Enabled Drug Discovery and Clinical Trials Market revenue (US$ Million) estimates and forecasts by Therapeutic Application, 2021-2034

9.5.4. MEA revenue Global AI-Enabled Drug Discovery and Clinical Trials Market revenue (US$ Million) by country, (US$ Million) 2021-2034

9.5.4.1. South Africa

9.5.4.2. Rest of MEA

Chapter 10. Competitive Landscape

10.1. Major Mergers and Acquisitions/Strategic Alliances

10.2. Company Profiles

10.2.1. Accutar Biotechnology Inc.

10.2.2. AiCure

10.2.3. Ardigen

10.2.4. Atomwise Inc.

10.2.5. Benevolent AI

10.2.6. Berg

10.2.7. Berkeley Lights

10.2.8. BioAge Labs

10.2.9. Biovista

10.2.10. C4X Discovery Holdings Plc

10.2.11. Clinithink Ltd

10.2.12. Cloud Pharmaceuticals

10.2.13. Cyclica Inc.

10.2.14. CytoReason

10.2.15. Concerto Health AI.

10.2.16. Deep Genomics Inc.

10.2.17. DeepThink Health Inc.

10.2.18. Envisagenics, Inc.

10.2.19. Exscientia Limited

10.2.20. e-therapeutics plc

10.2.21. GNS Healthcare

10.2.22. Insilico Medicine

10.2.23. Lantern Pharma Inc.

10.2.24. Medable, Inc.

10.2.25. Mind the Byte

10.2.26. NuMedii, Inc

10.2.27. Nuritas, Ltd.

10.2.28. Owkin, Inc.

10.2.29. Recursion Pharmaceuticals, Inc.

10.2.30. Schrödinger, LLC

10.2.31. Symphony Innovation, LLC  

10.2.32.  TARA Biosystems, Inc.

10.2.33. twoXAR, Incorporated

10.2.34. Verge Analytics, Inc.

10.2.35. Winterlight Labs Inc.

10.2.36. WuXi Nextcode Genomics

10.2.37. XtalPi Inc.

10.2.38. Other Prominent Player

Research Design and Approach

This study employed a multi-step, mixed-method research approach that integrates:

  • Secondary research
  • Primary research
  • Data triangulation
  • Hybrid top-down and bottom-up modelling
  • Forecasting and scenario analysis

This approach ensures a balanced and validated understanding of both macro- and micro-level market factors influencing the market.

Secondary Research

Secondary research for this study involved the collection, review, and analysis of publicly available and paid data sources to build the initial fact base, understand historical market behaviour, identify data gaps, and refine the hypotheses for primary research.

Sources Consulted

Secondary data for the market study was gathered from multiple credible sources, including:

  • Government databases, regulatory bodies, and public institutions
  • International organizations (WHO, OECD, IMF, World Bank, etc.)
  • Commercial and paid databases
  • Industry associations, trade publications, and technical journals
  • Company annual reports, investor presentations, press releases, and SEC filings
  • Academic research papers, patents, and scientific literature
  • Previous market research publications and syndicated reports

These sources were used to compile historical data, market volumes/prices, industry trends, technological developments, and competitive insights.

Secondary Research

Primary Research

Primary research was conducted to validate secondary data, understand real-time market dynamics, capture price points and adoption trends, and verify the assumptions used in the market modelling.

Stakeholders Interviewed

Primary interviews for this study involved:

  • Manufacturers and suppliers in the market value chain
  • Distributors, channel partners, and integrators
  • End-users / customers (e.g., hospitals, labs, enterprises, consumers, etc., depending on the market)
  • Industry experts, technology specialists, consultants, and regulatory professionals
  • Senior executives (CEOs, CTOs, VPs, Directors) and product managers

Interview Process

Interviews were conducted via:

  • Structured and semi-structured questionnaires
  • Telephonic and video interactions
  • Email correspondences
  • Expert consultation sessions

Primary insights were incorporated into demand modelling, pricing analysis, technology evaluation, and market share estimation.

Data Processing, Normalization, and Validation

All collected data were processed and normalized to ensure consistency and comparability across regions and time frames.

The data validation process included:

  • Standardization of units (currency conversions, volume units, inflation adjustments)
  • Cross-verification of data points across multiple secondary sources
  • Normalization of inconsistent datasets
  • Identification and resolution of data gaps
  • Outlier detection and removal through algorithmic and manual checks
  • Plausibility and coherence checks across segments and geographies

This ensured that the dataset used for modelling was clean, robust, and reliable.

Market Size Estimation and Data Triangulation

Bottom-Up Approach

The bottom-up approach involved aggregating segment-level data, such as:

  • Company revenues
  • Product-level sales
  • Installed base/usage volumes
  • Adoption and penetration rates
  • Pricing analysis

This method was primarily used when detailed micro-level market data were available.

Bottom Up Approach

Top-Down Approach

The top-down approach used macro-level indicators:

  • Parent market benchmarks
  • Global/regional industry trends
  • Economic indicators (GDP, demographics, spending patterns)
  • Penetration and usage ratios

This approach was used for segments where granular data were limited or inconsistent.

Hybrid Triangulation Approach

To ensure accuracy, a triangulated hybrid model was used. This included:

  • Reconciling top-down and bottom-up estimates
  • Cross-checking revenues, volumes, and pricing assumptions
  • Incorporating expert insights to validate segment splits and adoption rates

This multi-angle validation yielded the final market size.

Forecasting Framework and Scenario Modelling

Market forecasts were developed using a combination of time-series modelling, adoption curve analysis, and driver-based forecasting tools.

Forecasting Methods

  • Time-series modelling
  • S-curve and diffusion models (for emerging technologies)
  • Driver-based forecasting (GDP, disposable income, adoption rates, regulatory changes)
  • Price elasticity models
  • Market maturity and lifecycle-based projections

Scenario Analysis

Given inherent uncertainties, three scenarios were constructed:

  • Base-Case Scenario: Expected trajectory under current conditions
  • Optimistic Scenario: High adoption, favourable regulation, strong economic tailwinds
  • Conservative Scenario: Slow adoption, regulatory delays, economic constraints

Sensitivity testing was conducted on key variables, including pricing, demand elasticity, and regional adoption.

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Frequently Asked Questions

Mind the Byte, NuMedii, Inc, Nuritas, Ltd., Owkin, Inc., Recursion Pharmaceuticals, Inc., Schrödinger, LLC, Symphony Innovation, LLC, and Other Playe

AI-Enabled Drug Discovery and Clinical Trials Market Size is valued at USD 883.9 Mn in 2024 and is predicted to reach USD 9321.5 Mn by the year 2034

AI-Enabled Drug Discovery and Clinical Trials Market is expected to grow at a 26.7% CAGR during the forecast period for 2025-2034

Component Scope, Application, Therapeutic Application and End-Users are the key segments of the AI-Enabled Drug Discovery and Clinical Trials Market.

North American region is leading the AI-Enabled Drug Discovery and Clinical Trials Market.

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