查看购物车
  • Traditional Chinese
  • English
  • Japanese
封面
市场调查报告书
商品编码
1717011

2025年材料科学领域生成式AI（AI）全球市场报告

Generative Artificial Intelligence (AI) In Material Science Global Market Report 2025
出版日期: | 出版商: The Business Research Company | 英文 175 Pages | 商品交期: 2-10个工作天内

价格
简介目录

预计未来几年材料科学领域生成式AI(AI) 的市场规模将呈指数级增长。到 2029 年，这一数字将成长至 53.5 亿美元，复合年增长率为 33.6%。预测期内的成长可归因于对永续材料、个人化材料设计的需求、私人投资的增加、自主系统的成长以及生物技术应用的日益普及。预测期内的关键趋势包括人工智慧主导的预测分析、自修復材料的开发、奈米材料设计中产生人工智慧的采用、分散式研究网路以及人工智慧与积层製造的整合。

材料科学市场中生成式AI(AI) 的预期成长预计将受到对 AI 技术投资增加的推动。投资的成长将受到多种因素的推动，包括对自动化日益增长的需求、改进的数据分析、创新的应用以及来自政府和私营部门的支持。材料科学中的生成式人工智慧正在吸引大量投资，透过优化材料特性和製程来加速发现和创新。例如，国际商业机器公司（IBM）2022年5月发布的报告显示，全球人工智慧的采用率大幅提升，达到35%，与前一年同期比较上升了4个百分点。报告也预测，2022年使用人工智慧的公司数量将比2021年增加13%。具体来说，35%的公司已经采用了人工智慧，42%的公司正在考虑采用人工智慧，66%的公司表示计划实施或使用人工智慧来实现其永续性目标。对此类人工智慧技术的投资不断增长，正在推动材料科学领域产生人工智慧的扩张。

材料科学生成式人工智慧市场的主要企业正专注于开发创新解决方案，例如用于药物发现的先进生成式人工智慧模型，以提高药物发现和生命科学研究的速度和效率。例如，2023年3月，美国电脑硬体公司NVIDIA Corporation宣布推出其BioNeMo云端服务，其中包括用于药物发现的预先训练和可自订的生成式AI模型，例如AlphaFold2和MoFlow。这些模型加速了分子设计和最佳化，显着减少了研发的时间和成本，并有助于快速识别和产生新的治疗候选药物和材料。

目录

第一章执行摘要

第二章 市场特征

第三章 市场趋势与策略

第四章 - 市场 - 宏观经济情境 宏观经济情境包括利率、通膨、地缘政治以及感染疾病和復苏对市场的影响

第五章 全球成长分析与策略分析框架

  • 材料科学领域的全球生成式AI（AI）PESTEL分析（政治、社会、技术、环境、法律因素、驱动因素和限制因素）
  • 最终用途产业分析
  • 全球材料科学市场中的生成式AI（AI）：增长率分析
  • 全球材料科学生成式AI(AI) 市场表现：规模与成长，2019-2024 年
  • 全球材料科学生成式AI(AI) 市场预测：规模与成长，2024-2029 年，2034 年预测
  • 全球生成式AI（AI）材料科学领域总可寻址市场（TAM）

第六章市场区隔

  • 全球材料科学领域生成式AI(AI) 市场类型、效能及预测（2019-2024 年、2024-2029 年及 2034 年）
  • 材料发现与设计
  • 预测建模与仿真
  • 流程优化
  • 全球材料科学领域生成式AI(AI) 市场部署、效能及预测（2019-2024 年、2024-2029 年及 2034 年）
  • 云端基础
  • 本地
  • 杂交种
  • 全球材料科学领域生成式AI(AI) 市场的应用、效能及预测（2019-2024 年、2024-2029 年及 2034 年）
  • 製药和化学品
  • 电子和半导体
  • 能源储存与转换
  • 汽车和航太
  • 建筑和基础设施
  • 消费品
  • 其他用途
  • 全球材料科学领域生成式AI(AI) 市场，依材料发现与设计类型细分，绩效及预测，2019-2024 年、2024-2029 年、2034 年
  • 人工智慧驱动的材料筛检
  • 基于人工智慧的计算化学
  • 量子材料设计
  • 材料性能预测
  • 全球材料科学领域生成式AI(AI) 市场预测（按建模和模拟类型、实际和预测）细分，2019-2024 年、2024-2029 年、2034 年
  • 基于人工智慧的材料行为模拟
  • 材料性能预测分析
  • 故障预测与可靠度分析
  • 热性能和机械性能模拟
  • 全球材料科学市场中的生成式AI(AI) 流程最佳化细分（按类型）、绩效及预测，2019-2024 年、2024-2029 年、2034 年
  • 人工智慧用于製造流程优化
  • 材料加工中的能源效率
  • 人工智慧驱动的材料生产品管
  • 优化材料供应链

第七章 区域和国家分析

  • 全球材料科学领域生成式AI(AI) 市场（按地区、绩效及预测）：2019-2024 年、2024-2029 年、2034 年
  • 全球材料科学领域生成式AI(AI) 市场（按国家、绩效及预测）2019-2024 年、2024-2029 年及 2034 年

第八章 亚太市场

第九章：中国市场

第十章 印度市场

第十一章 日本市场

第十二章 澳洲市场

第十三章 印尼市场

第十四章 韩国市场

第十五章 西欧市场

第十六章英国市场

第十七章 德国市场

第十八章 法国市场

第十九章：义大利市场

第20章：西班牙市场

第21章 东欧市场

第22章 俄罗斯市场

第23章 北美市场

第24章美国市场

第25章：加拿大市场

第26章 南美洲市场

第27章：巴西市场

第28章 中东市场

第29章：非洲市场

第30章竞争格局与公司概况

  • 材料科学市场中的生成式AI（AI）：竞争格局
  • 材料科学市场中的生成式AI（AI）：公司简介
    • Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
    • Siemens AG Overview, Products and Services, Strategy and Financial Analysis
    • International Business Machines Corporation（IBM）Overview, Products and Services, Strategy and Financial Analysis
    • NVIDIA Corporation Overview, Products and Services, Strategy and Financial Analysis
    • Hexagon AB Overview, Products and Services, Strategy and Financial Analysis

第31章 其他大型创新企业

  • 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

第 32 章全球市场竞争基准化分析与仪表板

第33章 重大併购

第34章近期市场趋势

第 35 章 高市场潜力国家、细分市场与策略

  • 2029年材料科学市场中的生成式AI（AI）：提供新机会的国家
  • 2029年材料科学市场中的生成式AI（AI）：带来新机会的细分领域
  • 2029年材料科学市场中的生成式AI（AI）：成长策略
    • 基于市场趋势的策略
    • 竞争对手的策略

第36章 附录

简介目录
Product Code: r33739

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.

Reasons to Purchase

  • Gain a truly global perspective with the most comprehensive report available on this market covering 15 geographies.
  • Assess the impact of key macro factors such as conflict, pandemic and recovery, inflation and interest rate environment and the 2nd Trump presidency.
  • Create regional and country strategies on the basis of local data and analysis.
  • Identify growth segments for investment.
  • Outperform competitors using forecast data and the drivers and trends shaping the market.
  • Understand customers based on the latest market shares.
  • Benchmark performance against key competitors.
  • Suitable for supporting your internal and external presentations with reliable high quality data and analysis
  • Report will be updated with the latest data and delivered to you within 2-3 working days of order along with an Excel data sheet for easy data extraction and analysis.
  • All data from the report will also be delivered in an excel dashboard format.

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.

Table of Contents

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