Life science AI and machine learning Market Size, Share, and Trends 2025 to 2034

Chapter 1. Introduction

1.1. Research Objective

1.2. Scope of the Study

1.3. Definition

Chapter 2. Research Methodology 

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 Life science AI and machine learning Market 

5.1. COVID-19 Landscape: Life science AI and machine learning 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

Chapter 6. Market Dynamics Analysis and Trends

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 Life science AI and machine learning Market, By Product Type

8.1. Life science AI and machine learning Market, by Product Type

8.1.1. AI Analytics Platform

8.1.1.1. Market Revenue and Forecast

8.1.2. Machine Learning Software Tools

8.1.2.1. Market Revenue and Forecast

8.1.3. AI-Integrated Imaging & Diagnostics Systems

8.1.3.1. Market Revenue and Forecast

8.1.4. Bioinformatics & Computational Biology Platforms

8.1.4.1. Market Revenue and Forecast

8.1.5. Ancillary Tools & Accessories

8.1.5.1. Market Revenue and Forecast

Chapter 9. Global Life science AI and machine learning Market, By Deployment Type

9.1. Life science AI and machine learning Market, by Deployment Type

9.1.1. On-Premise

9.1.1.1. Market Revenue and Forecast

9.1.2. Cloud-Based

9.1.2.1. Market Revenue and Forecast

9.1.3. Hybrid

9.1.3.1. Market Revenue and Forecast

Chapter 10. Global Life science AI and machine learning Market, By Application 

10.1. Life science AI and machine learning Market, by Application

10.1.1. Drug Discovery & Development

10.1.1.1. Market Revenue and Forecast

10.1.2. Genomics & Precision Medicine

10.1.2.1. Market Revenue and Forecast

10.1.3. Medical Imaging & Diagnostics

10.1.3.1. Market Revenue and Forecast

10.1.4. Clinical Trial Optimization

10.1.4.1. Market Revenue and Forecast

10.1.5. Other Life Science Applications

10.1.5.1. Market Revenue and Forecast

Chapter 11. Global Life science AI and machine learning Market, By Technology / Mode of Action

11.1. Life science AI and machine learning Market, by Technology / Mode of Action

11.1.1. Machine Learning Algorithms

11.1.1.1. Market Revenue and Forecast

11.1.2. Deep Learning / Neural Networks

11.1.2.1. Market Revenue and Forecast

11.1.3. Computer Vision-Based Analysis

11.1.3.1. Market Revenue and Forecast

11.1.4. Analog, MEMS and Others

11.1.4.1. Market Revenue and Forecast

11.1.5. Natural Language Processing (NLP)

11.1.5.1. Market Revenue and Forecast

Chapter 12. Global Life science AI and machine learning Market, By End-User

12.1. Life science AI and machine learning Market, by End-User

12.1.1. Pharmaceutical & Biotech Companies

12.1.1.1. Market Revenue and Forecast

12.1.2. Hospitals & Clinical Labs

12.1.2.1. Market Revenue and Forecast

12.1.3. Foundries

12.1.3.1. Market Revenue and Forecast

12.1.4. Academic & Research Institutes

12.1.4.1. Market Revenue and Forecast

12.1.5. CROs / Clinical Research Organizations

12.1.5.1. Market Revenue and Forecast

Chapter 13. Global Life science AI and machine learning Market, Regional Estimates and Trend Forecast

13.1. North America

13.1.1. Market Revenue and Forecast, by Product Type

13.1.2. Market Revenue and Forecast, by Deployment Type

13.1.3. Market Revenue and Forecast, by Application

13.1.4. Market Revenue and Forecast, by Technology / Mode of Action

13.1.5. Market Revenue and Forecast, by End-User

13.1.6. U.S.

13.1.6.1. Market Revenue and Forecast, by Product Type

13.1.6.2. Market Revenue and Forecast, by Deployment Type

13.1.6.3. Market Revenue and Forecast, by Application

13.1.6.4. Market Revenue and Forecast, by Technology / Mode of Action

13.1.6.5. Market Revenue and Forecast, by End-User  

13.1.7. Rest of North America

13.1.7.1. Market Revenue and Forecast, by Product Type

13.1.7.2. Market Revenue and Forecast, by Deployment Type

13.1.7.3. Market Revenue and Forecast, by Application

13.1.7.4. Market Revenue and Forecast, by Technology / Mode of Action

13.1.7.5. Market Revenue and Forecast, by End-User

13.2. Europe

13.2.1. Market Revenue and Forecast, by Product Type

13.2.2. Market Revenue and Forecast, by Deployment Type

13.2.3. Market Revenue and Forecast, by Application

13.2.4. Market Revenue and Forecast, by Technology / Mode of Action  

13.2.5. Market Revenue and Forecast, by End-User  

13.2.6. UK

13.2.6.1. Market Revenue and Forecast, by Product Type

13.2.6.2. Market Revenue and Forecast, by Deployment Type

13.2.6.3. Market Revenue and Forecast, by Application

13.2.7. Market Revenue and Forecast, by Technology / Mode of Action  

13.2.8. Market Revenue and Forecast, by End-User  

13.2.9. Germany

13.2.9.1. Market Revenue and Forecast, by Product Type

13.2.9.2. Market Revenue and Forecast, by Deployment Type

13.2.9.3. Market Revenue and Forecast, by Application

13.2.10. Market Revenue and Forecast, by Technology / Mode of Action

13.2.11. Market Revenue and Forecast, by End-User

13.2.12. France

13.2.12.1. Market Revenue and Forecast, by Product Type

13.2.12.2. Market Revenue and Forecast, by Deployment Type

13.2.12.3. Market Revenue and Forecast, by Application

13.2.12.4. Market Revenue and Forecast, by Technology / Mode of Action

13.2.13. Market Revenue and Forecast, by End-User

13.2.14. Rest of Europe

13.2.14.1. Market Revenue and Forecast, by Product Type

13.2.14.2. Market Revenue and Forecast, by Deployment Type

13.2.14.3. Market Revenue and Forecast, by Application

13.2.14.4. Market Revenue and Forecast, by Technology / Mode of Action

13.2.15. Market Revenue and Forecast, by End-User

13.3. APAC

13.3.1. Market Revenue and Forecast, by Product Type

13.3.2. Market Revenue and Forecast, by Deployment Type

13.3.3. Market Revenue and Forecast, by Application

13.3.4. Market Revenue and Forecast, by Technology / Mode of Action

13.3.5. Market Revenue and Forecast, by End-User

13.3.6. India

13.3.6.1. Market Revenue and Forecast, by Product Type

13.3.6.2. Market Revenue and Forecast, by Deployment Type

13.3.6.3. Market Revenue and Forecast, by Application

13.3.6.4. Market Revenue and Forecast, by Technology / Mode of Action

13.3.7. Market Revenue and Forecast, by End-User

13.3.8. China

13.3.8.1. Market Revenue and Forecast, by Product Type

13.3.8.2. Market Revenue and Forecast, by Deployment Type

13.3.8.3. Market Revenue and Forecast, by Application

13.3.8.4. Market Revenue and Forecast, by Technology / Mode of Action

13.3.9. Market Revenue and Forecast, by End-User

13.3.10. Japan

13.3.10.1. Market Revenue and Forecast, by Product Type

13.3.10.2. Market Revenue and Forecast, by Deployment Type

13.3.10.3. Market Revenue and Forecast, by Application

13.3.10.4. Market Revenue and Forecast, by Technology / Mode of Action

13.3.10.5. Market Revenue and Forecast, by End-User

13.3.11. Rest of APAC

13.3.11.1. Market Revenue and Forecast, by Product Type

13.3.11.2. Market Revenue and Forecast, by Deployment Type

13.3.11.3. Market Revenue and Forecast, by Application

13.3.11.4. Market Revenue and Forecast, by Technology / Mode of Action

13.3.11.5. Market Revenue and Forecast, by End-User

13.4. MEA

13.4.1. Market Revenue and Forecast, by Product Type

13.4.2. Market Revenue and Forecast, by Deployment Type

13.4.3. Market Revenue and Forecast, by Application

13.4.4. Market Revenue and Forecast, by Technology / Mode of Action

13.4.5. Market Revenue and Forecast, by End-User

13.4.6. GCC

13.4.6.1. Market Revenue and Forecast, by Product Type

13.4.6.2. Market Revenue and Forecast, by Deployment Type

13.4.6.3. Market Revenue and Forecast, by Application

13.4.6.4. Market Revenue and Forecast, by Technology / Mode of Action

13.4.7. Market Revenue and Forecast, by End-User

13.4.8. North Africa

13.4.8.1. Market Revenue and Forecast, by Product Type

13.4.8.2. Market Revenue and Forecast, by Deployment Type

13.4.8.3. Market Revenue and Forecast, by Application

13.4.8.4. Market Revenue and Forecast, by Technology / Mode of Action

13.4.9. Market Revenue and Forecast, by End-User

13.4.10. South Africa

13.4.10.1. Market Revenue and Forecast, by Product Type

13.4.10.2. Market Revenue and Forecast, by Deployment Type

13.4.10.3. Market Revenue and Forecast, by Application

13.4.10.4. Market Revenue and Forecast, by Technology / Mode of Action

13.4.10.5. Market Revenue and Forecast, by End-User

13.4.11. Rest of MEA

13.4.11.1. Market Revenue and Forecast, by Product Type

13.4.11.2. Market Revenue and Forecast, by Deployment Type

13.4.11.3. Market Revenue and Forecast, by Application

13.4.11.4. Market Revenue and Forecast, by Technology / Mode of Action

13.4.11.5. Market Revenue and Forecast, by End-User

13.5. Latin America

13.5.1. Market Revenue and Forecast, by Product Type

13.5.2. Market Revenue and Forecast, by Deployment Type

13.5.3. Market Revenue and Forecast, by Application

13.5.4. Market Revenue and Forecast, by Technology / Mode of Action

13.5.5. Market Revenue and Forecast, by End-User

13.5.6. Brazil

13.5.6.1. Market Revenue and Forecast, by Product Type

13.5.6.2. Market Revenue and Forecast, by Deployment Type

13.5.6.3. Market Revenue and Forecast, by Application

13.5.6.4. Market Revenue and Forecast, by Technology / Mode of Action

13.5.7. Market Revenue and Forecast, by End-User

13.5.8. Rest of LATAM

13.5.8.1. Market Revenue and Forecast, by Product Type

13.5.8.2. Market Revenue and Forecast, by Deployment Type

13.5.8.3. Market Revenue and Forecast, by Application

13.5.8.4. Market Revenue and Forecast, by Technology / Mode of Action

13.5.8.5. Market Revenue and Forecast, by End-User

Chapter 14. Company Profiles

14.1. IBM Watson Health

14.1.1. Company Overview

14.1.2. Product Offerings

14.1.3. Financial Performance

14.1.4. Recent Initiatives

14.2. Google DeepMind / Google Life Sciences (Verily)

14.2.1. Company Overview

14.2.2. Product Offerings

14.2.3. Financial Performance

14.2.4. Recent Initiatives

14.3. Microsoft Healthcare AI

14.3.1. Company Overview

14.3.2. Product Offerings

14.3.3. Financial Performance

14.3.4. Recent Initiatives

14.4. NVIDIA Corporation

14.4.1. Company Overview

14.4.2. Product Offerings

14.4.3. Financial Performance

14.4.4. Recent Initiatives

14.5. Amazon Web Services (AWS) AI/ML for Life Sciences

14.5.1. Company Overview

14.5.2. Product Offerings

14.5.3. Financial Performance

14.5.4. Recent Initiatives

14.6. SAS Institute

14.6.1. Company Overview

14.6.2. Product Offerings

14.6.3. Financial Performance

14.6.4. Recent Initiatives

14.7. IQVIA

14.7.1. Company Overview

14.7.2. Product Offerings

14.7.3. Financial Performance

14.7.4. Recent Initiatives

14.8. Thermo Fisher Scientific

14.8.1. Company Overview

14.8.2. Product Offerings

14.8.3. Financial Performance

14.8.4. Recent Initiatives

14.9. Illumina AI Platforms

14.9.1. Company Overview

14.9.2. Product Offerings

14.9.3. Financial Performance

14.9.4. Recent Initiatives

14.10. Roche Diagnostics AI Solutions

14.10.1. Company Overview

14.10.2. Product Offerings

14.10.3. Financial Performance

14.10.4. Recent Initiatives

Chapter 15. Research Methodology

15.1. Primary Research

15.2. Secondary Research

15.3. Assumptions

Chapter 16. Appendix

16.1. About Us

16.2. Glossary of Terms