Generative AI In Biology Market Size, Share, and Trends 2026 to 2035

Generative AI In Biology Market (By Application: Drug Discovery and Development, Medical Imaging, Genomics and Proteomics, Protein Engineering, Synthetic Biology; By Technology: Generative Adversarial Networks, Variational Autoencoders, Reinforcement Learning; By End-Use: Pharmaceutical and Biotechnology Companies, Healthcare Provider, Research Institutions) - Global Industry Analysis, Size, Trends, Leading Companies, Regional Outlook, and Forecast 2026 to 2035

Last Updated : 31 Dec 2025  |  Report Code : 3304  |  Category : ICT   |  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 Chronic Obstructive Pulmonary Disease (COPD) Treatment Market 

5.1. COVID-19 Landscape: Chronic Obstructive Pulmonary Disease (COPD) Treatment 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 Chronic Obstructive Pulmonary Disease (COPD) Treatment Market, By Application

8.1. Chronic Obstructive Pulmonary Disease (COPD) Treatment Market, by Application

8.1.1 Drug Discovery and Development

8.1.1.1. Market Revenue and Forecast

8.1.2. Medical Imaging

8.1.2.1. Market Revenue and Forecast

8.1.3. Genomics and Proteomics

8.1.3.1. Market Revenue and Forecast

8.1.4. Protein Engineering

8.1.4.1. Market Revenue and Forecast

8.1.5. Synthetic Biology

8.1.5.1. Market Revenue and Forecast

Chapter 9. Global Chronic Obstructive Pulmonary Disease (COPD) Treatment Market, By Technology

9.1. Chronic Obstructive Pulmonary Disease (COPD) Treatment Market, by Technology

9.1.1. Generative Adversarial Networks

9.1.1.1. Market Revenue and Forecast

9.1.2. Variational Autoencoders

9.1.2.1. Market Revenue and Forecast

9.1.3. Reinforcement Learning

9.1.3.1. Market Revenue and Forecast

Chapter 10. Global Chronic Obstructive Pulmonary Disease (COPD) Treatment Market, By End-Use 

10.1. Chronic Obstructive Pulmonary Disease (COPD) Treatment Market, by End-Use

10.1.1. Pharmaceutical and Biotechnology Companies

10.1.1.1. Market Revenue and Forecast

10.1.2. Healthcare Provider

10.1.2.1. Market Revenue and Forecast

10.1.3. Research Institutions

10.1.3.1. Market Revenue and Forecast

Chapter 11. Global Chronic Obstructive Pulmonary Disease (COPD) Treatment Market, Regional Estimates and Trend Forecast

11.1. North America

11.1.1. Market Revenue and Forecast, by Application

11.1.2. Market Revenue and Forecast, by Technology

11.1.3. Market Revenue and Forecast, by End-Use

11.1.4. U.S.

11.1.4.1. Market Revenue and Forecast, by Application

11.1.4.2. Market Revenue and Forecast, by Technology

11.1.4.3. Market Revenue and Forecast, by End-Use

11.1.5. Rest of North America

11.1.5.1. Market Revenue and Forecast, by Application

11.1.5.2. Market Revenue and Forecast, by Technology

11.1.5.3. Market Revenue and Forecast, by End-Use

11.2. Europe

11.2.1. Market Revenue and Forecast, by Application

11.2.2. Market Revenue and Forecast, by Technology

11.2.3. Market Revenue and Forecast, by End-Use

11.2.4. UK

11.2.4.1. Market Revenue and Forecast, by Application

11.2.4.2. Market Revenue and Forecast, by Technology

11.2.4.3. Market Revenue and Forecast, by End-Use

11.2.5. Germany

11.2.5.1. Market Revenue and Forecast, by Application

11.2.5.2. Market Revenue and Forecast, by Technology

11.2.5.3. Market Revenue and Forecast, by End-Use

11.2.6. France

11.2.6.1. Market Revenue and Forecast, by Application

11.2.6.2. Market Revenue and Forecast, by Technology

11.2.6.3. Market Revenue and Forecast, by End-Use

11.2.7. Rest of Europe

11.2.7.1. Market Revenue and Forecast, by Application

11.2.7.2. Market Revenue and Forecast, by Technology

11.2.7.3. Market Revenue and Forecast, by End-Use

11.3. APAC

11.3.1. Market Revenue and Forecast, by Application

11.3.2. Market Revenue and Forecast, by Technology

11.3.3. Market Revenue and Forecast, by End-Use

11.3.4. India

11.3.4.1. Market Revenue and Forecast, by Application

11.3.4.2. Market Revenue and Forecast, by Technology

11.3.4.3. Market Revenue and Forecast, by End-Use

11.3.5. China

11.3.5.1. Market Revenue and Forecast, by Application

11.3.5.2. Market Revenue and Forecast, by Technology

11.3.5.3. Market Revenue and Forecast, by End-Use

11.3.6. Japan

11.3.6.1. Market Revenue and Forecast, by Application

11.3.6.2. Market Revenue and Forecast, by Technology

11.3.6.3. Market Revenue and Forecast, by End-Use

11.3.7. Rest of APAC

11.3.7.1. Market Revenue and Forecast, by Application

11.3.7.2. Market Revenue and Forecast, by Technology

11.3.7.3. Market Revenue and Forecast, by End-Use

11.4. MEA

11.4.1. Market Revenue and Forecast, by Application

11.4.2. Market Revenue and Forecast, by Technology

11.4.3. Market Revenue and Forecast, by End-Use

11.4.4. GCC

11.4.4.1. Market Revenue and Forecast, by Application

11.4.4.2. Market Revenue and Forecast, by Technology

11.4.4.3. Market Revenue and Forecast, by End-Use

11.4.5. North Africa

11.4.5.1. Market Revenue and Forecast, by Application

11.4.5.2. Market Revenue and Forecast, by Technology

11.4.5.3. Market Revenue and Forecast, by End-Use

11.4.6. South Africa

11.4.6.1. Market Revenue and Forecast, by Application

11.4.6.2. Market Revenue and Forecast, by Technology

11.4.6.3. Market Revenue and Forecast, by End-Use

11.4.7. Rest of MEA

11.4.7.1. Market Revenue and Forecast, by Application

11.4.7.2. Market Revenue and Forecast, by Technology

11.4.7.3. Market Revenue and Forecast, by End-Use

11.5. Latin America

11.5.1. Market Revenue and Forecast, by Application

11.5.2. Market Revenue and Forecast, by Technology

11.5.3. Market Revenue and Forecast, by End-Use

11.5.4. Brazil

11.5.4.1. Market Revenue and Forecast, by Application

11.5.4.2. Market Revenue and Forecast, by Technology

11.5.4.3. Market Revenue and Forecast, by End-Use

11.5.5. Rest of LATAM

11.5.5.1. Market Revenue and Forecast, by Application

11.5.5.2. Market Revenue and Forecast, by Technology

11.5.5.3. Market Revenue and Forecast, by End-Use

Chapter 12. Company Profiles

12.1. NVIDIA Corporation

12.1.1. Company Overview

12.1.2. Product Offerings

12.1.3. Financial Performance

12.1.4. Recent Initiatives

12.2. IBM Corporation

12.2.1. Company Overview

12.2.2. Product Offerings

12.2.3. Financial Performance

12.2.4. Recent Initiatives

12.3. BenevolentAI

12.3.1. Company Overview

12.3.2. Product Offerings

12.3.3. Financial Performance

12.3.4. Recent Initiatives

12.4. DeepMind Technologies Limited

12.4.1. Company Overview

12.4.2. Product Offerings

12.4.3. Financial Performance

12.4.4. Recent Initiatives

12.5. Insilico Medicine

12.5.1. Company Overview

12.5.2. Product Offerings

12.5.3. Financial Performance

12.5.4. Recent Initiatives

12.6. Recursion Pharmaceuticals

12.6.1. Company Overview

12.6.2. Product Offerings

12.6.3. Financial Performance

12.6.4. Recent Initiatives

12.7. Zymergen

12.7.1. Company Overview

12.7.2. Product Offerings

12.7.3. Financial Performance

12.7.4. Recent Initiatives

Chapter 13. Research Methodology

13.1. Primary Research

13.2. Secondary Research

13.3. Assumptions

Chapter 14. Appendix

14.1. About Us

14.2. Glossary of Terms

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Frequently Asked Questions

Answer : The global generative AI in biology market size is expected to reach around USD 568.90 million by 2034 from USD 119.43 million in 2024.

Answer : The global generative AI in biology market will grow at a CAGR of 16.89% between 2026 and 2035.

Answer : The major players operating in the generative AI in biology market are NVIDIA Corporation, IBM Corporation, BenevolentAI, DeepMind Technologies Limited, Insilico Medicine, Recursion Pharmaceuticals, Zymergen, and Others.

Answer : The driving factors of the generative AI in biology market are the adoption of advanced technologies in drug discovery and rising emphasis on biomarker discovery.

Answer : North America region will lead the global generative AI in biology market during the forecast period 2026 to 2035.

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