材料科学におけるジェネレーティブ人工知能（AI）の世界市場レポート 2025年

材料科学におけるジェネレーティブ人工知能（AI）市場規模は、今後数年で飛躍的な成長が見込まれます。2029年にはCAGR33.6％で53億5,000万米ドルに成長します。予測期間の成長は、持続可能な素材への需要、パーソナライズされた素材設計、民間投資の増加、自律システムの成長、バイオテクノロジー・アプリケーションの採用の高まりに起因すると考えられます。予測期間の主な動向には、AI主導の予測分析、自己修復材料の開発、ナノ材料設計における生成的AIの採用、分散型研究ネットワーク、AIと付加製造の統合などがあります。

材料科学市場におけるジェネレーティブ人工知能（AI）の予想される成長は、AI技術への投資の増加によって促進されると予想されます。この投資の増加は、自動化への需要の高まり、データ分析の改善、革新的なアプリケーション、政府・民間両部門からの支援など、いくつかの要因によってもたらされます。材料科学におけるジェネレーティブAIは、材料特性とプロセスを最適化することで発見とイノベーションを加速させるため、多額の投資を集めています。例えば、インターナショナル・ビジネス・マシーンズ・コーポレーション（IBM）が2022年5月に発表したレポートでは、世界のAIの導入が顕著に増加し、前年比4ポイント増の35％に達したことが明らかになりました。同レポートはまた、2022年にAIを使用する企業数が2021年比で13％増加すると予測しています。具体的には、35％の企業がAIを採用し、42％が採用を検討中で、66％が持続可能性の目標を達成するためにAIを導入または利用する予定であると回答しました。このようなAI技術への投資の拡大は、材料科学におけるジェネレーティブAIの拡大を促進しています。

材料科学におけるジェネレーティブAI市場の主要企業は、創薬やライフサイエンス研究のスピードと効率を高めるため、創薬向けの高度なジェネレーティブAIモデルなど、革新的なソリューションの開発に注力しています。例えば、米国を拠点とするコンピューター・ハードウェア企業のエヌビディア・コーポレーションは2023年3月、AlphaFold2やMoFlowなど、事前に訓練されカスタマイズ可能な創薬用ジェネレーティブAIモデルを含むBioNeMoクラウド・サービスを発表しました。これらのモデルは、分子設計と最適化を加速させ、研究開発にかかる時間とコストを大幅に削減し、新たな治療薬候補と材料の迅速な特定と創出を促進します。

目次

第1章 エグゼクティブサマリー

第2章 市場の特徴

第3章 市場動向と戦略

第4章 市場- マクロ経済シナリオ金利、インフレ、地政学、新型コロナウイルス感染症の影響と回復が市場に与える影響を含むマクロ経済シナリオ

第5章 世界の成長分析と戦略分析フレームワーク

• 世界材料科学におけるジェネレーティブ人工知能（AI） PESTEL分析（政治、社会、技術、環境、法的要因、促進要因と抑制要因）
• 最終用途産業の分析
• 世界の材料科学におけるジェネレーティブ人工知能（AI）市場：成長率分析
• 世界の材料科学におけるジェネレーティブ人工知能（AI）市場の実績：規模と成長, 2019-2024
• 世界の材料科学におけるジェネレーティブ人工知能（AI）市場の予測：規模と成長, 2024-2029, 2034F
• 世界材料科学におけるジェネレーティブ人工知能（AI）総アドレス可能市場（TAM）

第6章 市場セグメンテーション

• 世界の材料科学におけるジェネレーティブ人工知能（AI）市場：タイプ別、実績と予測, 2019-2024, 2024-2029F, 2034F
• 材料の発見と設計
• 予測モデリングとシミュレーション
• プロセス最適化
• 世界の材料科学におけるジェネレーティブ人工知能（AI）市場：展開別、実績と予測, 2019-2024, 2024-2029F, 2034F
• クラウドベース
• オンプレミス
• ハイブリッド
• 世界の材料科学におけるジェネレーティブ人工知能（AI）市場：用途別、実績と予測, 2019-2024, 2024-2029F, 2034F
• 医薬品および化学品
• エレクトロニクスおよび半導体
• エネルギー貯蔵と変換
• 自動車と航空宇宙
• 建設とインフラ
• 消費財
• その他の用途
• 世界の材料科学におけるジェネレーティブ人工知能（AI）市場、材料の発見と設計の種類別サブセグメンテーション、実績と予測, 2019-2024, 2024-2029F, 2034F
• AI駆動型材料スクリーニング
• AIベースの計算化学
• 量子材料設計
• 材料特性予測
• 世界の材料科学におけるジェネレーティブ人工知能（AI）市場予測モデリングとシミュレーションの種類別サブセグメンテーション、実績と予測, 2019-2024, 2024-2029F, 2034F
• AIによる材料挙動シミュレーション
• 材料性能予測分析
• 故障予測と信頼性分析
• 熱および機械特性シミュレーション
• 世界の材料科学におけるジェネレーティブ人工知能（AI）市場プロセス最適化のサブセグメンテーション（タイプ別）、実績と予測, 2019-2024, 2024-2029F, 2034F
• 製造プロセス最適化のためのAI
• 材料処理におけるエネルギー効率
• 材料生産におけるAI駆動型品質管理
• 材料サプライチェーンの最適化

第7章 地域別・国別分析

• 世界の材料科学におけるジェネレーティブ人工知能（AI）市場：地域別、実績と予測, 2019-2024, 2024-2029F, 2034F
• 世界の材料科学におけるジェネレーティブ人工知能（AI）市場：国別、実績と予測, 2019-2024, 2024-2029F, 2034F

第8章 アジア太平洋市場

第9章 中国市場

第10章 インド市場

第11章 日本市場

第12章 オーストラリア市場

第13章 インドネシア市場

第14章 韓国市場

第15章 西欧市場

第16章 英国市場

第17章 ドイツ市場

第18章 フランス市場

第19章 イタリア市場

第20章 スペイン市場

第21章 東欧市場

第22章 ロシア市場

第23章 北米市場

第24章 米国市場

第25章 カナダ市場

第26章 南米市場

第27章 ブラジル市場

第28章 中東市場

第29章 アフリカ市場

第30章 競合情勢と企業プロファイル

• 材料科学におけるジェネレーティブ人工知能（AI）市場：競合情勢
• 材料科学におけるジェネレーティブ人工知能（AI）市場：企業プロファイル
  • 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 その他の大手企業と革新的企業

• 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 世界の市場競合ベンチマーキングとダッシュボード

第33章 主要な合併と買収

第34章 最近の市場動向

第35章 市場の潜在力が高い国、セグメント、戦略

• 材料科学におけるジェネレーティブ人工知能（AI）市場2029：新たな機会を提供する国
• 材料科学におけるジェネレーティブ人工知能（AI）市場2029：新たな機会を提供するセグメント
• 材料科学におけるジェネレーティブ人工知能（AI）市場2029：成長戦略
  • 市場動向に基づく戦略
  • 競合の戦略

第36章 付録

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