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1717011

2025年材料科學領域生成式AI（AI）全球市場報告

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個工作天內

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簡介目錄

預計未來幾年材料科學領域生成式AI(AI) 的市場規模將呈指數級成長。到 2029 年，這一數字將成長至 53.5 億美元，複合年成長率為 33.6%。預測期內的成長可歸因於對永續材料、個人化材料設計的需求、私人投資的增加、自主系統的成長以及生物技術應用的日益普及。預測期內的關鍵趨勢包括人工智慧主導的預測分析、自修復材料的開發、奈米材料設計中產生人工智慧的採用、分散式研究網路以及人工智慧與積層製造的整合。

材料科學市場中生成式AI(AI) 的預期成長預計將受到對 AI 技術投資增加的推動。投資的成長將受到多種因素的推動，包括對自動化日益成長的需求、改進的數據分析、創新的應用以及來自政府和私營部門的支持。材料科學中的生成式人工智慧正在吸引大量投資，透過最佳化材料特性和製程來加速發現和創新。例如，國際商業機器公司（IBM）2022年5月發布的報告顯示，全球人工智慧的採用率大幅提升，達到35%，與前一年同期比較上升了4個百分點。報告也預測，2022年使用人工智慧的公司數量將比2021年增加13%。具體來說，35%的公司已經採用了人工智慧，42%的公司正在考慮採用人工智慧，66%的公司表示計劃實施或使用人工智慧來實現其永續性目標。對此類人工智慧技術的投資不斷成長，正在推動材料科學領域產生人工智慧的擴張。

材料科學生成式人工智慧市場的主要企業正專注於開發創新解決方案，例如用於藥物發現的先進生成式人工智慧模型，以提高藥物發現和生命科學研究的速度和效率。例如，2023年3月，美國電腦硬體公司NVIDIA Corporation宣布推出其BioNeMo雲端服務，其中包括用於藥物發現的預先訓練和可自訂的生成式AI模型，例如AlphaFold2和MoFlow。這些模型加速了分子設計和最佳化，顯著減少了研發的時間和成本，並有助於快速識別和產生新的治療候選藥物和材料。

目錄

第1章執行摘要

第2章 市場特徵

第3章 市場趨勢與策略

第4章 - 市場 - 宏觀經濟情境 宏觀經濟情境包括利率、通膨、地緣政治以及感染疾病和復甦對市場的影響

第5章 全球成長分析與策略分析框架

  • 材料科學領域的全球生成式AI（AI）PESTEL分析（政治、社會、技術、環境、法律因素、促進因素和限制因素）
  • 最終用途產業分析
  • 全球材料科學市場中的生成式AI（AI）：成長率分析
  • 全球材料科學生成式AI(AI) 市場表現：規模與成長，2019-2024 年
  • 全球材料科學生成式AI(AI) 市場預測：規模與成長，2024-2029 年，2034 年預測
  • 全球生成式AI（AI）材料科學領域總可尋址市場（TAM）

第6章市場區隔

  • 全球材料科學領域生成式AI(AI) 市場類型、效能及預測（2019-2024 年、2024-2029 年及 2034 年）
  • 材料發現與設計
  • 預測建模與仿真
  • 流程最佳化
  • 全球材料科學領域生成式AI(AI) 市場部署、效能及預測（2019-2024 年、2024-2029 年及 2034 年）
  • 雲端基礎
  • 本地
  • 混合
  • 全球材料科學領域生成式AI(AI) 市場的應用、效能及預測（2019-2024 年、2024-2029 年及 2034 年）
  • 製藥和化學品
  • 電子和半導體
  • 能源儲存與轉換
  • 汽車和航太
  • 建築和基礎設施
  • 消費品
  • 其他用途
  • 全球材料科學領域生成式AI(AI) 市場，依材料發現與設計類型細分，績效及預測，2019-2024 年、2024-2029 年、2034 年
  • 人工智慧驅動的材料篩檢
  • 基於人工智慧的計算化學
  • 量子材料設計
  • 材料性能預測
  • 全球材料科學領域生成式AI(AI) 市場預測（按建模和模擬類型、實際和預測）細分，2019-2024 年、2024-2029 年、2034 年
  • 基於人工智慧的材料行為模擬
  • 材料性能預測分析
  • 故障預測與可靠度分析
  • 熱性能和機械性能模擬
  • 全球材料科學市場中的生成式AI(AI) 流程最佳化細分（按類型）、績效及預測，2019-2024 年、2024-2029 年、2034 年
  • 人工智慧用於製造流程最佳化
  • 材料加工中的能源效率
  • 人工智慧驅動的材料生產品管
  • 最佳化材料供應鏈

第7章 區域和國家分析

  • 全球材料科學領域生成式AI(AI) 市場（按地區、績效及預測）：2019-2024 年、2024-2029 年、2034 年
  • 全球材料科學領域生成式AI(AI) 市場（按國家、績效及預測）2019-2024 年、2024-2029 年及 2034 年

第8章 亞太市場

第9章：中國市場

第10章 印度市場

第11章 日本市場

第12章 澳洲市場

第13章 印尼市場

第14章 韓國市場

第15章 西歐市場

第16章英國市場

第17章 德國市場

第18章 法國市場

第19章：義大利市場

第20章：西班牙市場

第21章 東歐市場

第22章 俄羅斯市場

第23章 北美市場

第24章美國市場

第25章：加拿大市場

第26章 南美洲市場

第27章：巴西市場

第28章 中東市場

第29章：非洲市場

第30章競爭格局與公司概況

  • 材料科學市場中的生成式AI（AI）：競爭格局
  • 材料科學市場中的生成式AI（AI）：公司簡介
    • 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 其他大型創新企業

  • 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 章全球市場競爭基準化分析與儀表板

第33章 重大併購

第34章近期市場趨勢

第 35 章 高市場潛力國家、細分市場與策略

  • 2029年材料科學市場中的生成式AI（AI）：提供新機會的國家
  • 2029年材料科學市場中的生成式AI（AI）：帶來新機會的細分領域
  • 2029年材料科學市場中的生成式AI（AI）：成長策略
    • 基於市場趨勢的策略
    • 競爭對手的策略

第36章 附錄

簡介目錄
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.

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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.

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