Generative AI in Material Science Market Size, Share, and Trends 2026 to 2035

Generative AI in Material Science Market (By Type: Materials Discovery and Design, Predictive Modeling and Simulation, Process Optimization; By Deployment: Cloud-Based, On-Premises, Hybrid; By Application: Pharmaceuticals and Chemicals, Electronics and Semiconductors, Energy Storage and Conversion, Automotive and Aerospace, Construction and Infrastructure, Consumer Goods and Others) - Global Industry Analysis, Size, Trends, Leading Companies, Regional Outlook, and Forecast 2026 to 2035

Last Updated : 17 Feb 2026  |  Report Code : 7732  |  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

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 Generative AI in Material Science Market 

5.1. COVID-19 Landscape: Generative AI in Material Science 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 Generative AI in Material Science Market, By Type

8.1. Generative AI in Material Science Market, by Type

8.1.1 Materials Discovery and Design

8.1.1.1. Market Revenue and Forecast

8.1.2. Predictive Modeling and Simulation

8.1.2.1. Market Revenue and Forecast

8.1.3. Process Optimization

8.1.3.1. Market Revenue and Forecast

Chapter 9. Global Generative AI in Material Science Market, By Deployment

9.1. Generative AI in Material Science Market, by Deployment

9.1.1. Cloud-Based

9.1.1.1. Market Revenue and Forecast

9.1.2. On-Premises

9.1.2.1. Market Revenue and Forecast

9.1.3. Hybrid

9.1.3.1. Market Revenue and Forecast

Chapter 10. Global Generative AI in Material Science Market, By Application

10.1. Generative AI in Material Science Market, by Application

10.1.1. Pharmaceuticals and Chemicals

10.1.1.1. Market Revenue and Forecast

10.1.2. Pharmaceuticals and Chemicals

10.1.2.1. Market Revenue and Forecast

10.1.3. Energy Storage and Conversion

10.1.3.1. Market Revenue and Forecast

10.1.4. Automotive and Aerospace

10.1.4.1. Market Revenue and Forecast

10.1.5. Construction and Infrastructure

10.1.5.1. Market Revenue and Forecast

Chapter 11. Global Generative AI in Material Science Market, Regional Estimates and Trend Forecast

11.1. North America

11.1.1. Market Revenue and Forecast, by Type

11.1.2. Market Revenue and Forecast, by Deployment

11.1.3. Market Revenue and Forecast, by Application

11.1.4. U.S.

11.1.4.1. Market Revenue and Forecast, by Type

11.1.4.2. Market Revenue and Forecast, by Deployment

11.1.4.3. Market Revenue and Forecast, by Application

11.1.5. Rest of North America

11.1.5.1. Market Revenue and Forecast, by Type

11.1.5.2. Market Revenue and Forecast, by Deployment

11.1.5.3. Market Revenue and Forecast, by Application

11.2. Europe

11.2.1. Market Revenue and Forecast, by Type

11.2.2. Market Revenue and Forecast, by Deployment

11.2.3. Market Revenue and Forecast, by Application

11.2.4. UK

11.2.4.1. Market Revenue and Forecast, by Type

11.2.4.2. Market Revenue and Forecast, by Deployment

11.2.4.3. Market Revenue and Forecast, by Application

11.2.5. Germany

11.2.5.1. Market Revenue and Forecast, by Type

11.2.5.2. Market Revenue and Forecast, by Deployment

11.2.5.3. Market Revenue and Forecast, by Application

11.2.6. France

11.2.6.1. Market Revenue and Forecast, by Type

11.2.6.2. Market Revenue and Forecast, by Deployment

11.2.6.3. Market Revenue and Forecast, by Application

11.2.7. Rest of Europe

11.2.7.1. Market Revenue and Forecast, by Type

11.2.7.2. Market Revenue and Forecast, by Deployment

11.2.7.3. Market Revenue and Forecast, by Application

11.3. APAC

11.3.1. Market Revenue and Forecast, by Type

11.3.2. Market Revenue and Forecast, by Deployment

11.3.3. Market Revenue and Forecast, by Application

11.3.4. India

11.3.4.1. Market Revenue and Forecast, by Type

11.3.4.2. Market Revenue and Forecast, by Deployment

11.3.4.3. Market Revenue and Forecast, by Application

11.3.5. China

11.3.5.1. Market Revenue and Forecast, by Type

11.3.5.2. Market Revenue and Forecast, by Deployment

11.3.5.3. Market Revenue and Forecast, by Application

11.3.6. Japan

11.3.6.1. Market Revenue and Forecast, by Type

11.3.6.2. Market Revenue and Forecast, by Deployment

11.3.6.3. Market Revenue and Forecast, by Application

11.3.7. Rest of APAC

11.3.7.1. Market Revenue and Forecast, by Type

11.3.7.2. Market Revenue and Forecast, by Deployment

11.3.7.3. Market Revenue and Forecast, by Application

11.4. MEA

11.4.1. Market Revenue and Forecast, by Type

11.4.2. Market Revenue and Forecast, by Deployment

11.4.3. Market Revenue and Forecast, by Application

11.4.4. GCC

11.4.4.1. Market Revenue and Forecast, by Type

11.4.4.2. Market Revenue and Forecast, by Deployment

11.4.4.3. Market Revenue and Forecast, by Application

11.4.5. North Africa

11.4.5.1. Market Revenue and Forecast, by Type

11.4.5.2. Market Revenue and Forecast, by Deployment

11.4.5.3. Market Revenue and Forecast, by Application

11.4.6. South Africa

11.4.6.1. Market Revenue and Forecast, by Type

11.4.6.2. Market Revenue and Forecast, by Deployment

11.4.6.3. Market Revenue and Forecast, by Application

11.4.7. Rest of MEA

11.4.7.1. Market Revenue and Forecast, by Type

11.4.7.2. Market Revenue and Forecast, by Deployment

11.4.7.3. Market Revenue and Forecast, by Application

11.5. Latin America

11.5.1. Market Revenue and Forecast, by Type

11.5.2. Market Revenue and Forecast, by Deployment

11.5.3. Market Revenue and Forecast, by Application

11.5.4. Brazil

11.5.4.1. Market Revenue and Forecast, by Type

11.5.4.2. Market Revenue and Forecast, by Deployment

11.5.4.3. Market Revenue and Forecast, by Application

11.5.5. Rest of LATAM

11.5.5.1. Market Revenue and Forecast, by Type

11.5.5.2. Market Revenue and Forecast, by Deployment

11.5.5.3. Market Revenue and Forecast, by Application

Chapter 12. Company Profiles

12.1. Microsoft 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. NVIDIA Corporation

12.3.1. Company Overview

12.3.2. Product Offerings

12.3.3. Financial Performance

12.3.4. Recent Initiatives

12.4. Google LLC (incl. DeepMind)

12.4.1. Company Overview

12.4.2. Product Offerings

12.4.3. Financial Performance

12.4.4. Recent Initiatives

12.5. Siemens AG

12.5.1. Company Overview

12.5.2. Product Offerings

12.5.3. Financial Performance

12.5.4. Recent Initiatives

12.6. ANSYS Inc.

12.6.1. Company Overview

12.6.2. Product Offerings

12.6.3. Financial Performance

12.6.4. Recent Initiatives

12.7. Hexagon AB

12.7.1. Company Overview

12.7.2. Product Offerings

12.7.3. Financial Performance

12.7.4. Recent Initiatives

12.8. OpenAI

12.8.1. Company Overview

12.8.2. Product Offerings

12.8.3. Financial Performance

12.8.4. Recent Initiatives

12.9. Schrodinger Inc.

12.9.1. Company Overview

12.9.2. Product Offerings

12.9.3. Financial Performance

12.9.4. Recent Initiatives

12.10. Citrine Informatics Inc.

12.10.1. Company Overview

12.10.2. Product Offerings

12.10.3. Financial Performance

12.10.4. 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 generative AI in material science market size is expected to increase from USD 1.49 billion in 2025 to USD 12.90 billion by 2035.

Answer : The generative AI in material science market is expected to grow at a compound annual growth rate (CAGR) of around 24.10% from 2026 to 2035.

Answer : The driving factors of the generative AI in material science market are the chemical discovery process, including design, making, and testing, which are reshaping material science.

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

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