Generative Artificial Intelligence (AI) In Material Science Global Market Report 2025

Description

Generative artificial intelligence in material science leverages sophisticated algorithms to create new materials by predicting their properties and behaviors through extensive datasets and simulations. This technology speeds up the discovery of new materials, enhances existing ones, and facilitates the development of innovative materials for a range of industrial uses.

The primary types of generative AI in material science include materials discovery and design, predictive modeling and simulation, and process optimization. Materials discovery and design use computational techniques and algorithms to identify and enhance new materials for specific applications. These AI systems can be implemented through cloud-based, on-premises, or hybrid models and are applicable in fields such as pharmaceuticals, chemicals, electronics, semiconductors, energy storage and conversion, automotive, aerospace, construction, infrastructure, and consumer goods.

The generative artificial intelligence in material science market research report is one of a series of new reports from The Business Research Company that provides generative artificial intelligence in material science market statistics, including generative artificial intelligence in material science industry global market size, regional shares, competitors with a generative artificial intelligence in material science market share, detailed generative artificial intelligence in material science market segments, market trends and opportunities, and any further data you may need to thrive in the generative artificial intelligence in material science industry. This generative artificial intelligence in material science market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The generative artificial intelligence (AI) in material science market size has grown exponentially in recent years. It will grow from $1.26 billion in 2024 to $1.68 billion in 2025 at a compound annual growth rate (CAGR) of 33.8%. The growth in the historic period can be attributed to the discovery of new materials, government funding for research and development, rising performance of computing, increasing data availability, and demand for lightweight materials.

The generative artificial intelligence (AI) in material science market size is expected to see exponential growth in the next few years. It will grow to $5.35 billion in 2029 at a compound annual growth rate (CAGR) of 33.6%. The growth in the forecast period can be attributed to the demand for sustainable materials, personalized material design, increased private investment, growth in autonomous systems, and rising adoption of biotechnology applications. Major trends in the forecast period include AI-driven predictive analytics, the development of self-healing materials, the adoption of generative AI in nanomaterial design, decentralized research networks, and the integration of AI with additive manufacturing.

The anticipated growth of generative artificial intelligence (AI) in the material science market is expected to be fueled by increasing investment in AI technologies. This rise in investment is driven by several factors, including heightened demand for automation, improved data analytics, innovative applications, and support from both government and private sectors. Generative AI in material science accelerates discovery and innovation by optimizing material properties and processes, thus attracting significant investment. For example, a May 2022 report by International Business Machines Corporation (IBM) revealed a notable increase in global AI adoption, reaching 35%, up four percentage points from the previous year. The report also projected a 13% increase in the number of firms using AI in 2022 compared to 2021. Specifically, 35% of organizations reported adopting AI, 42% were considering adoption, and 66% were either implementing or planning to use AI to meet their sustainability goals. This growing investment in AI technologies is driving the expansion of generative AI in material science.

Leading companies in the generative AI in material science market are focusing on developing innovative solutions, such as advanced generative AI models for drug discovery, to enhance the speed and efficiency of drug discovery and life sciences research. For instance, in March 2023, Nvidia Corporation, a US-based computer hardware company, introduced the BioNeMo Cloud Service, which includes pre-trained and customizable generative AI models for drug discovery, such as AlphaFold2 and MoFlow. These models accelerate molecular design and optimization, significantly reducing the time and cost associated with research and development, and facilitating the faster identification and creation of new therapeutic candidates and materials.

In January 2024, SandboxAQ, a US-based enterprise SaaS company, acquired Good Chemistry for $75 million. This acquisition aims to enhance SandboxAQ's AI simulation capabilities in drug discovery and materials design by integrating Good Chemistry's quantum and computational chemistry platforms. It will expand SandboxAQ's technology portfolio and accelerate the development of new materials and pharmaceuticals through Good Chemistry's expertise and industry partnerships. Good Chemistry, a Canadian computer application company, utilizes cloud computing technology to predict chemical properties.

Major companies operating in the generative artificial intelligence in material science market are Microsoft Corporation, Siemens AG, International Business Machines Corporation (IBM), NVIDIA Corporation, Hexagon AB, Illumina Inc., ANSYS Inc., DeepMind Technologies Limited, Altair Engineering Inc., OpenAI, Schrodinger Inc., XtalPi, Alchemy Insights Inc., Citrine Informatics Inc., QuesTek Innovations LLC, Materials Zone, Kebotix Inc., Nanotronics Imaging Inc., AION Labs, Exabyte.io

North America was the largest region in the generative artificial intelligence in material science market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the generative artificial intelligence in material science market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the generative artificial intelligence in material science market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The generative artificial intelligence in material science market includes revenues earned by entities by providing services such as material property analysis consulting, integration services for AI tools in workflows, and technical support and training. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Generative Artificial Intelligence (AI) In Material Science Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on generative artificial intelligence (ai) in material science market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

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Where is the largest and fastest growing market for generative artificial intelligence (ai) in material science ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The generative artificial intelligence (ai) in material science market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

The market characteristics section of the report defines and explains the market.
The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
The forecasts are made after considering the major factors currently impacting the market. These include:

The forecasts are made after considering the major factors currently impacting the market. These include the Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.

Market segmentations break down the market into sub markets.
The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

Scope

Markets Covered:1) By Type: Materials Discovery And Design; Predictive Modeling And Simulation; Process Optimization
2) By Deployment: Cloud-Based; On-Premises; Hybrid
3) By Application: Pharmaceuticals And Chemicals; Electronics And Semiconductors; Energy Storage And Conversion; Automotive And Aerospace; Construction And Infrastructure; Consumer Goods; Other Applications
Subsegments:
1) By Materials Discovery and Design: AI-Driven Materials Screening; AI-Based Computational Chemistry; Quantum Materials Design; Material Property Prediction
2) By Predictive Modeling and Simulation: AI-Based Simulation For Material Behavior; Predictive Analytics For Material Performance; Failure Prediction And Reliability Analysis; Thermal And Mechanical Property Simulation
3) By Process Optimization: AI For Manufacturing Process Optimization; Energy Efficiency In Material Processing; AI-Driven Quality Control In Material Production; Supply Chain Optimization For Materials
Companies Mentioned: Microsoft Corporation; Siemens AG; International Business Machines Corporation (IBM); NVIDIA Corporation; Hexagon AB
Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
Data segmentations: country and regional historic and forecast data, market share of competitors, market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Delivery format: PDF, Word and Excel Data Dashboard.

Product Code: r33739

1. Executive Summary

2. Generative Artificial Intelligence (AI) In Material Science Market Characteristics

3. Generative Artificial Intelligence (AI) In Material Science Market Trends And Strategies

4. Generative Artificial Intelligence (AI) In Material Science Market - Macro Economic Scenario Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics And Covid And Recovery On The Market

5. Global Generative Artificial Intelligence (AI) In Material Science Growth Analysis And Strategic Analysis Framework

5.1. Global Generative Artificial Intelligence (AI) In Material Science PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
5.2. Analysis Of End Use Industries
5.3. Global Generative Artificial Intelligence (AI) In Material Science Market Growth Rate Analysis
5.4. Global Generative Artificial Intelligence (AI) In Material Science Historic Market Size and Growth, 2019 - 2024, Value ($ Billion)
5.5. Global Generative Artificial Intelligence (AI) In Material Science Forecast Market Size and Growth, 2024 - 2029, 2034F, Value ($ Billion)
5.6. Global Generative Artificial Intelligence (AI) In Material Science Total Addressable Market (TAM)

6. Generative Artificial Intelligence (AI) In Material Science Market Segmentation

6.1. Global Generative Artificial Intelligence (AI) In Material Science Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Materials Discovery And Design
Predictive Modeling And Simulation
Process Optimization
6.2. Global Generative Artificial Intelligence (AI) In Material Science Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Cloud-Based
On-Premises
Hybrid
6.3. Global Generative Artificial Intelligence (AI) In Material Science Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
Pharmaceuticals And Chemicals
Electronics And Semiconductors
Energy Storage And Conversion
Automotive And Aerospace
Construction And Infrastructure
Consumer Goods
Other Applications
6.4. Global Generative Artificial Intelligence (AI) In Material Science Market, Sub-Segmentation Of Materials Discovery and Design, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
AI-Driven Materials Screening
AI-Based Computational Chemistry
Quantum Materials Design
Material Property Prediction
6.5. Global Generative Artificial Intelligence (AI) In Material Science Market, Sub-Segmentation Of Predictive Modeling and Simulation, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
AI-Based Simulation For Material Behavior
Predictive Analytics For Material Performance
Failure Prediction And Reliability Analysis
Thermal And Mechanical Property Simulation
6.6. Global Generative Artificial Intelligence (AI) In Material Science Market, Sub-Segmentation Of Process Optimization, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
AI For Manufacturing Process Optimization
Energy Efficiency In Material Processing
AI-Driven Quality Control In Material Production
Supply Chain Optimization For Materials

7. Generative Artificial Intelligence (AI) In Material Science Market Regional And Country Analysis

7.1. Global Generative Artificial Intelligence (AI) In Material Science Market, Split By Region, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
7.2. Global Generative Artificial Intelligence (AI) In Material Science Market, Split By Country, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

8. Asia-Pacific Generative Artificial Intelligence (AI) In Material Science Market

8.1. Asia-Pacific Generative Artificial Intelligence (AI) In Material Science Market Overview
Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
8.2. Asia-Pacific Generative Artificial Intelligence (AI) In Material Science Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
8.3. Asia-Pacific Generative Artificial Intelligence (AI) In Material Science Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
8.4. Asia-Pacific Generative Artificial Intelligence (AI) In Material Science Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

9. China Generative Artificial Intelligence (AI) In Material Science Market

9.1. China Generative Artificial Intelligence (AI) In Material Science Market Overview
9.2. China Generative Artificial Intelligence (AI) In Material Science Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
9.3. China Generative Artificial Intelligence (AI) In Material Science Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
9.4. China Generative Artificial Intelligence (AI) In Material Science Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

10. India Generative Artificial Intelligence (AI) In Material Science Market

10.1. India Generative Artificial Intelligence (AI) In Material Science Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
10.2. India Generative Artificial Intelligence (AI) In Material Science Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
10.3. India Generative Artificial Intelligence (AI) In Material Science Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

11. Japan Generative Artificial Intelligence (AI) In Material Science Market

11.1. Japan Generative Artificial Intelligence (AI) In Material Science Market Overview
11.2. Japan Generative Artificial Intelligence (AI) In Material Science Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
11.3. Japan Generative Artificial Intelligence (AI) In Material Science Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
11.4. Japan Generative Artificial Intelligence (AI) In Material Science Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

12. Australia Generative Artificial Intelligence (AI) In Material Science Market

12.1. Australia Generative Artificial Intelligence (AI) In Material Science Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
12.2. Australia Generative Artificial Intelligence (AI) In Material Science Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
12.3. Australia Generative Artificial Intelligence (AI) In Material Science Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

13. Indonesia Generative Artificial Intelligence (AI) In Material Science Market

13.1. Indonesia Generative Artificial Intelligence (AI) In Material Science Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
13.2. Indonesia Generative Artificial Intelligence (AI) In Material Science Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
13.3. Indonesia Generative Artificial Intelligence (AI) In Material Science Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

14. South Korea Generative Artificial Intelligence (AI) In Material Science Market

14.1. South Korea Generative Artificial Intelligence (AI) In Material Science Market Overview
14.2. South Korea Generative Artificial Intelligence (AI) In Material Science Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
14.3. South Korea Generative Artificial Intelligence (AI) In Material Science Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
14.4. South Korea Generative Artificial Intelligence (AI) In Material Science Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

15. Western Europe Generative Artificial Intelligence (AI) In Material Science Market

15.1. Western Europe Generative Artificial Intelligence (AI) In Material Science Market Overview
15.2. Western Europe Generative Artificial Intelligence (AI) In Material Science Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
15.3. Western Europe Generative Artificial Intelligence (AI) In Material Science Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
15.4. Western Europe Generative Artificial Intelligence (AI) In Material Science Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

16. UK Generative Artificial Intelligence (AI) In Material Science Market

16.1. UK Generative Artificial Intelligence (AI) In Material Science Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
16.2. UK Generative Artificial Intelligence (AI) In Material Science Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
16.3. UK Generative Artificial Intelligence (AI) In Material Science Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

17. Germany Generative Artificial Intelligence (AI) In Material Science Market

17.1. Germany Generative Artificial Intelligence (AI) In Material Science Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
17.2. Germany Generative Artificial Intelligence (AI) In Material Science Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
17.3. Germany Generative Artificial Intelligence (AI) In Material Science Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

18. France Generative Artificial Intelligence (AI) In Material Science Market

18.1. France Generative Artificial Intelligence (AI) In Material Science Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
18.2. France Generative Artificial Intelligence (AI) In Material Science Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
18.3. France Generative Artificial Intelligence (AI) In Material Science Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

19. Italy Generative Artificial Intelligence (AI) In Material Science Market

19.1. Italy Generative Artificial Intelligence (AI) In Material Science Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
19.2. Italy Generative Artificial Intelligence (AI) In Material Science Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
19.3. Italy Generative Artificial Intelligence (AI) In Material Science Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

20. Spain Generative Artificial Intelligence (AI) In Material Science Market

20.1. Spain Generative Artificial Intelligence (AI) In Material Science Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
20.2. Spain Generative Artificial Intelligence (AI) In Material Science Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
20.3. Spain Generative Artificial Intelligence (AI) In Material Science Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

21. Eastern Europe Generative Artificial Intelligence (AI) In Material Science Market

21.1. Eastern Europe Generative Artificial Intelligence (AI) In Material Science Market Overview
21.2. Eastern Europe Generative Artificial Intelligence (AI) In Material Science Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
21.3. Eastern Europe Generative Artificial Intelligence (AI) In Material Science Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
21.4. Eastern Europe Generative Artificial Intelligence (AI) In Material Science Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

22. Russia Generative Artificial Intelligence (AI) In Material Science Market

22.1. Russia Generative Artificial Intelligence (AI) In Material Science Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
22.2. Russia Generative Artificial Intelligence (AI) In Material Science Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
22.3. Russia Generative Artificial Intelligence (AI) In Material Science Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

23. North America Generative Artificial Intelligence (AI) In Material Science Market

23.1. North America Generative Artificial Intelligence (AI) In Material Science Market Overview
23.2. North America Generative Artificial Intelligence (AI) In Material Science Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
23.3. North America Generative Artificial Intelligence (AI) In Material Science Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
23.4. North America Generative Artificial Intelligence (AI) In Material Science Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

24. USA Generative Artificial Intelligence (AI) In Material Science Market

24.1. USA Generative Artificial Intelligence (AI) In Material Science Market Overview
24.2. USA Generative Artificial Intelligence (AI) In Material Science Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
24.3. USA Generative Artificial Intelligence (AI) In Material Science Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
24.4. USA Generative Artificial Intelligence (AI) In Material Science Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

25. Canada Generative Artificial Intelligence (AI) In Material Science Market

25.1. Canada Generative Artificial Intelligence (AI) In Material Science Market Overview
25.2. Canada Generative Artificial Intelligence (AI) In Material Science Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
25.3. Canada Generative Artificial Intelligence (AI) In Material Science Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
25.4. Canada Generative Artificial Intelligence (AI) In Material Science Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

26. South America Generative Artificial Intelligence (AI) In Material Science Market

26.1. South America Generative Artificial Intelligence (AI) In Material Science Market Overview
26.2. South America Generative Artificial Intelligence (AI) In Material Science Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
26.3. South America Generative Artificial Intelligence (AI) In Material Science Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
26.4. South America Generative Artificial Intelligence (AI) In Material Science Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

27. Brazil Generative Artificial Intelligence (AI) In Material Science Market

27.1. Brazil Generative Artificial Intelligence (AI) In Material Science Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
27.2. Brazil Generative Artificial Intelligence (AI) In Material Science Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
27.3. Brazil Generative Artificial Intelligence (AI) In Material Science Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

28. Middle East Generative Artificial Intelligence (AI) In Material Science Market

28.1. Middle East Generative Artificial Intelligence (AI) In Material Science Market Overview
28.2. Middle East Generative Artificial Intelligence (AI) In Material Science Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
28.3. Middle East Generative Artificial Intelligence (AI) In Material Science Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
28.4. Middle East Generative Artificial Intelligence (AI) In Material Science Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

29. Africa Generative Artificial Intelligence (AI) In Material Science Market

29.1. Africa Generative Artificial Intelligence (AI) In Material Science Market Overview
29.2. Africa Generative Artificial Intelligence (AI) In Material Science Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
29.3. Africa Generative Artificial Intelligence (AI) In Material Science Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
29.4. Africa Generative Artificial Intelligence (AI) In Material Science Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

30. Generative Artificial Intelligence (AI) In Material Science Market Competitive Landscape And Company Profiles

30.1. Generative Artificial Intelligence (AI) In Material Science Market Competitive Landscape
30.2. Generative Artificial Intelligence (AI) In Material Science Market Company Profiles
- 30.2.1. Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
- 30.2.2. Siemens AG Overview, Products and Services, Strategy and Financial Analysis
- 30.2.3. International Business Machines Corporation (IBM) Overview, Products and Services, Strategy and Financial Analysis
- 30.2.4. NVIDIA Corporation Overview, Products and Services, Strategy and Financial Analysis
- 30.2.5. Hexagon AB Overview, Products and Services, Strategy and Financial Analysis

31. Generative Artificial Intelligence (AI) In Material Science Market Other Major And Innovative Companies

31.1. Illumina Inc.
31.2. ANSYS Inc.
31.3. DeepMind Technologies Limited
31.4. Altair Engineering Inc.
31.5. OpenAI
31.6. Schrodinger Inc.
31.7. XtalPi
31.8. Alchemy Insights Inc.
31.9. Citrine Informatics Inc.
31.10. QuesTek Innovations LLC
31.11. Materials Zone
31.12. Kebotix Inc.
31.13. Nanotronics Imaging Inc.
31.14. AION Labs
31.15. Exabyte.io

32. Global Generative Artificial Intelligence (AI) In Material Science Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Generative Artificial Intelligence (AI) In Material Science Market

34. Recent Developments In The Generative Artificial Intelligence (AI) In Material Science Market

35. Generative Artificial Intelligence (AI) In Material Science Market High Potential Countries, Segments and Strategies

35.1 Generative Artificial Intelligence (AI) In Material Science Market In 2029 - Countries Offering Most New Opportunities
35.2 Generative Artificial Intelligence (AI) In Material Science Market In 2029 - Segments Offering Most New Opportunities
35.3 Generative Artificial Intelligence (AI) In Material Science Market In 2029 - Growth Strategies
- 35.3.1 Market Trend Based Strategies
- 35.3.2 Competitor Strategies

36. Appendix

36.1. Abbreviations
36.2. Currencies
36.3. Historic And Forecast Inflation Rates
36.4. Research Inquiries
36.5. The Business Research Company
36.6. Copyright And Disclaimer