Artificial Intelligence (AI) In Biopharmaceutical Market Size, Share, and Trends 2026 to 2035

Artificial Intelligence (AI) In Biopharmaceutical Market (By Application: Drug Discovery, Precision Medicine, Medical Imaging & Diagnostics, Research; By Technology: Machine Learning, Natural Language Processing, Deep Learning, Others; By Offering: Hardware, Software, Services; By Deployment: Cloud, On-Premises) - Global Industry Analysis, Size, Trends, Leading Companies, Regional Outlook, and Forecast 2026 to 2035

Last Updated : 06 Jan 2026  |  Report Code : 3455  |  Category : Healthcare   |  Format : PDF / PPT / Excel

Chapter 1. Introduction

1.1. Research Objective

1.2. Scope of the Study

1.3. Definition

Chapter 2. Research Methodology (Premium Insights)

2.1. Research Approach

2.2. Data Sources

2.3. Assumptions & Limitations

Chapter 3. Executive Summary

3.1. Market Snapshot

Chapter 4. Market Variables and Scope 

4.1. Introduction

4.2. Market Classification and Scope

4.3. Industry Value Chain Analysis

4.3.1. Raw Material Procurement Analysis 

4.3.2. Sales and Distribution Channel Analysis

4.3.3. Downstream Buyer Analysis

Chapter 5. COVID 19 Impact on Artificial Intelligence (AI) in Biopharmaceutical Market 

5.1. COVID-19 Landscape: Artificial Intelligence (AI) in Biopharmaceutical Industry Impact

5.2. COVID 19 - Impact Assessment for the Industry

5.3. COVID 19 Impact: Global Major Government Policy

5.4. Market Trends and Opportunities in the COVID-19 Landscape

6.1. Market Dynamics

6.1.1. Market Drivers

6.1.2. Market Restraints

6.1.3. Market Opportunities

6.2. Porter’s Five Forces Analysis

6.2.1. Bargaining power of suppliers

6.2.2. Bargaining power of buyers

6.2.3. Threat of substitute

6.2.4. Threat of new entrants

6.2.5. Degree of competition

Chapter 7. Competitive Landscape

7.1.1. Company Market Share/Positioning Analysis

7.1.2. Key Strategies Adopted by Players

7.1.3. Vendor Landscape

7.1.3.1. List of Suppliers

7.1.3.2. List of Buyers

Chapter 8. Global Artificial Intelligence (AI) in Biopharmaceutical Market, By Application

8.1. Artificial Intelligence (AI) in Biopharmaceutical Market, by Application

8.1.1. Drug Discovery

8.1.1.1. Market Revenue and Forecast

8.1.2. Precision Medicine

8.1.2.1. Market Revenue and Forecast

8.1.3. Medical Imaging & Diagnostics

8.1.3.1. Market Revenue and Forecast

8.1.4. Research

8.1.4.1. Market Revenue and Forecast

Chapter 9. Global Artificial Intelligence (AI) in Biopharmaceutical Market, By Technology

9.1. Artificial Intelligence (AI) in Biopharmaceutical Market, by Technology

9.1.1. Machine Learning

9.1.1.1. Market Revenue and Forecast

9.1.2. Natural Language Processing

9.1.2.1. Market Revenue and Forecast

9.1.3. Deep Learning

9.1.3.1. Market Revenue and Forecast

9.1.4. Others

9.1.4.1. Market Revenue and Forecast

Chapter 10. Global Artificial Intelligence (AI) in Biopharmaceutical Market, By Offering 

10.1. Artificial Intelligence (AI) in Biopharmaceutical Market, by Offering

10.1.1. Hardware

10.1.1.1. Market Revenue and Forecast

10.1.2. Software

10.1.2.1. Market Revenue and Forecast

10.1.3. Services

10.1.3.1. Market Revenue and Forecast

Chapter 11. Global Artificial Intelligence (AI) in Biopharmaceutical Market, By Deployment 

11.1. Artificial Intelligence (AI) in Biopharmaceutical Market, by Deployment

11.1.1. Cloud

11.1.1.1. Market Revenue and Forecast

11.1.2. On-Premises

11.1.2.1. Market Revenue and Forecast

Chapter 12. Global Artificial Intelligence (AI) in Biopharmaceutical Market, Regional Estimates and Trend Forecast

12.1. North America

12.1.1. Market Revenue and Forecast, by Application

12.1.2. Market Revenue and Forecast, by Technology

12.1.3. Market Revenue and Forecast, by Offering

12.1.4. Market Revenue and Forecast, by Deployment

12.1.5. U.S.

12.1.5.1. Market Revenue and Forecast, by Application

12.1.5.2. Market Revenue and Forecast, by Technology

12.1.5.3. Market Revenue and Forecast, by Offering

12.1.5.4. Market Revenue and Forecast, by Deployment

12.1.6. Rest of North America

12.1.6.1. Market Revenue and Forecast, by Application

12.1.6.2. Market Revenue and Forecast, by Technology

12.1.6.3. Market Revenue and Forecast, by Offering

12.1.6.4. Market Revenue and Forecast, by Deployment

12.2. Europe

12.2.1. Market Revenue and Forecast, by Application

12.2.2. Market Revenue and Forecast, by Technology

12.2.3. Market Revenue and Forecast, by Offering

12.2.4. Market Revenue and Forecast, by Deployment

12.2.5. UK

12.2.5.1. Market Revenue and Forecast, by Application

12.2.5.2. Market Revenue and Forecast, by Technology

12.2.5.3. Market Revenue and Forecast, by Offering

12.2.5.4. Market Revenue and Forecast, by Deployment

12.2.6. Germany

12.2.6.1. Market Revenue and Forecast, by Application

12.2.6.2. Market Revenue and Forecast, by Technology

12.2.6.3. Market Revenue and Forecast, by Offering

12.2.6.4. Market Revenue and Forecast, by Deployment

12.2.7. France

12.2.7.1. Market Revenue and Forecast, by Application

12.2.7.2. Market Revenue and Forecast, by Technology

12.2.7.3. Market Revenue and Forecast, by Offering

12.2.7.4. Market Revenue and Forecast, by Deployment

12.2.8. Rest of Europe

12.2.8.1. Market Revenue and Forecast, by Application

12.2.8.2. Market Revenue and Forecast, by Technology

12.2.8.3. Market Revenue and Forecast, by Offering

12.2.8.4. Market Revenue and Forecast, by Deployment

12.3. APAC

12.3.1. Market Revenue and Forecast, by Application

12.3.2. Market Revenue and Forecast, by Technology

12.3.3. Market Revenue and Forecast, by Offering

12.3.4. Market Revenue and Forecast, by Deployment

12.3.5. India

12.3.5.1. Market Revenue and Forecast, by Application

12.3.5.2. Market Revenue and Forecast, by Technology

12.3.5.3. Market Revenue and Forecast, by Offering

12.3.5.4. Market Revenue and Forecast, by Deployment

12.3.6. China

12.3.6.1. Market Revenue and Forecast, by Application

12.3.6.2. Market Revenue and Forecast, by Technology

12.3.6.3. Market Revenue and Forecast, by Offering

12.3.6.4. Market Revenue and Forecast, by Deployment

12.3.7. Japan

12.3.7.1. Market Revenue and Forecast, by Application

12.3.7.2. Market Revenue and Forecast, by Technology

12.3.7.3. Market Revenue and Forecast, by Offering

12.3.7.4. Market Revenue and Forecast, by Deployment

12.3.8. Rest of APAC

12.3.8.1. Market Revenue and Forecast, by Application

12.3.8.2. Market Revenue and Forecast, by Technology

12.3.8.3. Market Revenue and Forecast, by Offering

12.3.8.4. Market Revenue and Forecast, by Deployment

12.4. MEA

12.4.1. Market Revenue and Forecast, by Application

12.4.2. Market Revenue and Forecast, by Technology

12.4.3. Market Revenue and Forecast, by Offering

12.4.4. Market Revenue and Forecast, by Deployment

12.4.5. GCC

12.4.5.1. Market Revenue and Forecast, by Application

12.4.5.2. Market Revenue and Forecast, by Technology

12.4.5.3. Market Revenue and Forecast, by Offering

12.4.5.4. Market Revenue and Forecast, by Deployment

12.4.6. North Africa

12.4.6.1. Market Revenue and Forecast, by Application

12.4.6.2. Market Revenue and Forecast, by Technology

12.4.6.3. Market Revenue and Forecast, by Offering

12.4.6.4. Market Revenue and Forecast, by Deployment

12.4.7. South Africa

12.4.7.1. Market Revenue and Forecast, by Application

12.4.7.2. Market Revenue and Forecast, by Technology

12.4.7.3. Market Revenue and Forecast, by Offering

12.4.7.4. Market Revenue and Forecast, by Deployment

12.4.8. Rest of MEA

12.4.8.1. Market Revenue and Forecast, by Application

12.4.8.2. Market Revenue and Forecast, by Technology

12.4.8.3. Market Revenue and Forecast, by Offering

12.4.8.4. Market Revenue and Forecast, by Deployment

12.5. Latin America

12.5.1. Market Revenue and Forecast, by Application

12.5.2. Market Revenue and Forecast, by Technology

12.5.3. Market Revenue and Forecast, by Offering

12.5.4. Market Revenue and Forecast, by Deployment

12.5.5. Brazil

12.5.5.1. Market Revenue and Forecast, by Application

12.5.5.2. Market Revenue and Forecast, by Technology

12.5.5.3. Market Revenue and Forecast, by Offering

12.5.5.4. Market Revenue and Forecast, by Deployment

12.5.6. Rest of LATAM

12.5.6.1. Market Revenue and Forecast, by Application

12.5.6.2. Market Revenue and Forecast, by Technology

12.5.6.3. Market Revenue and Forecast, by Offering

12.5.6.4. Market Revenue and Forecast, by Deployment

Chapter 13. Company Profiles

13.1. IBM Watson Health

13.1.1. Company Overview

13.1.2. Product Offerings

13.1.3. Financial Performance

13.1.4. Recent Initiatives

13.2. Google Health

13.2.1. Company Overview

13.2.2. Product Offerings

13.2.3. Financial Performance

13.2.4. Recent Initiatives

13.3. NVIDIA Corporation

13.3.1. Company Overview

13.3.2. Product Offerings

13.3.3. Financial Performance

13.3.4. Recent Initiatives

13.4. Microsoft Healthcare

13.4.1. Company Overview

13.4.2. Product Offerings

13.4.3. Financial Performance

13.4.4. Recent Initiatives

13.5. DeepMind

13.5.1. Company Overview

13.5.2. Product Offerings

13.5.3. Financial Performance

13.5.4. Recent Initiatives

13.6. Atomwise

13.6.1. Company Overview

13.6.2. Product Offerings

13.6.3. Financial Performance

13.6.4. Recent Initiatives

13.7. Insilico Medicine

13.7.1. Company Overview

13.7.2. Product Offerings

13.7.3. Financial Performance

13.7.4. Recent Initiatives

13.8. PathAI

13.8.1. Company Overview

13.8.2. Product Offerings

13.8.3. Financial Performance

13.8.4. Recent Initiatives

13.9. Tempus

13.9.1. Company Overview

13.9.2. Product Offerings

13.9.3. Financial Performance

13.9.4. Recent Initiatives

13.10. GNS Healthcare

13.10.1. Company Overview

13.10.2. Product Offerings

13.10.3. Financial Performance

13.10.4. Recent Initiatives

Chapter 14. Research Methodology

14.1. Primary Research

14.2. Secondary Research

14.3. Assumptions

Chapter 15. Appendix

15.1. About Us

15.2. Glossary of Terms

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Frequently Asked Questions

Answer : The global artificial intelligence (AI) in biopharmaceutical market size is expected to increase USD 29.78 billion by 2035 from USD 1.99 billion in 2025.

Answer : The global artificial intelligence (AI) in biopharmaceutical market will register growth rate of 31.07% between 2026 and 2035.

Answer : The major players operating in the artificial intelligence (AI) in biopharmaceutical market are IBM Watson Health, Google Health, NVIDIA Corporation, Microsoft Healthcare, DeepMind, Atomwise, Insilico Medicine, PathAI, Tempus, GNS Healthcare, OWKIN, Cloud Pharmaceuticals, Numerate, Recursion Pharmaceuticals, Healx, and Others.

Answer : The driving factors of the artificial intelligence (AI) in biopharmaceutical market are the increasing investments in research and development and growing healthcare demands.

Answer : North America region will lead the global artificial intelligence (AI) in biopharmaceutical market during the forecast period 2026 to 2035.

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