세계의 재료과학 분야 생성형 AI 시장 보고서(2025년)

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

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한글목차

재료과학 분야 생성형 AI 시장 규모는 향후 몇 년 동안 연평균 33.6%의 성장률을 기록하며 2029년까지 53억 5,000만 달러에 달할 것으로 예측됩니다. 예측 기간 동안의 성장은 지속 가능한 소재에 대한 수요, 개인 맞춤형 소재 디자인, 민간 투자 증가, 자율 시스템의 성장, 바이오 테크놀로지 용도의 채택 증가에 기인하는 것으로 보입니다. 예측 기간의 주요 동향으로는 AI 기반 예측 분석, 자가 치유 재료 개발, 나노 소재 설계에 생성형 AI 채택, 분산형 연구 네트워크, AI와 적층 가공의 통합 등이 있습니다.

재료과학 시장에서 생성적 인공지능(AI)의 성장은 AI 기술에 대한 투자 증가로 인해 촉진될 것으로 예측됩니다. 이러한 투자 증가는 자동화에 대한 수요 증가, 데이터 분석 개선, 혁신적인 용도, 정부 및 민간 부문의 지원 등 여러 요인에 의해 이루어질 것입니다. 재료 과학 분야의 생성형 AI는 재료 특성과 공정을 최적화하여 발견과 혁신을 가속화하기 위해 많은 투자를 유치하고 있습니다. 예를 들어, IBM(International Business Machines Corporation(IBM)이 2022년5 월에 발표 한 보고서에 따르면 전 세계 AI 도입이 눈에 띄게 증가하여 전년 대비 4% 포인트 증가한 35%에 이르렀다고 밝혔습니다. 이 보고서는 또한 2022년에 AI를 사용하는 기업 수가 2021년 대비 13% 증가할 것으로 예측했습니다. 구체적으로 35%의 기업이 AI를 도입했으며, 42%는 도입을 검토 중이고, 66%는 지속가능성 목표를 달성하기 위해 AI를 도입 또는 활용할 계획이라고 답했습니다. 이러한 AI 기술에 대한 투자 확대는 재료과학 분야에서 생성형 AI의 확장을 촉진하고 있습니다.

재료과학 분야의 생성형 AI 시장의 주요 기업들은 신약 개발 및 생명과학 연구의 속도와 효율성을 높이기 위해 신약 개발을 위한 고급 생성형 AI 모델과 같은 혁신적인 솔루션 개발에 주력하고 있습니다. 예를 들어, 미국에 본사를 둔 컴퓨터 하드웨어 회사인 엔비디아(Nvidia Corporation)는 2023년 3월 알파폴드2(AlphaFold2)와 모플로우(MoFlow)와 같은 사전 학습 및 맞춤형 생성형 AI 모델을 포함한 바이오네모(BioNeMo) 클라우드 서비스를 발표하였습니다. 발표했습니다. 이 모델들은 분자 설계 및 최적화를 가속화하여 연구개발 시간과 비용을 크게 절감하고, 새로운 치료제 후보물질과 물질의 신속한 발굴 및 창출을 촉진합니다.

목차

제1장 주요 요약

제2장 시장 특징

제3장 시장 동향과 전략

제4장 시장 - 거시경제 시나리오 금리, 인플레이션, 지정학, 신형 코로나바이러스 영향과 회복이 시장에 미치는 영향을 포함한 거시경제 시나리오

제5장 세계의 성장 분석과 전략 분석 프레임워크

• 세계 재료과학 분야 생성형 AI PESTEL 분석(정치, 사회, 기술, 환경, 법적 요인, 촉진요인과 억제요인)
• 최종 이용 산업 분석
• 세계의 재료과학 분야 생성형 AI 시장 : 성장률 분석
• 세계의 재료과학 분야 생성형 AI 시장 실적 : 규모와 성장, 2019-2024
• 세계의 재료과학 분야 생성형 AI 시장 예측 : 규모와 성장, 2024-2029, 2034F
• 세계 재료과학 분야 생성형 AI 전체 시장(TAM)

제6장 시장 세분화

• 세계의 재료과학 분야 생성형 AI 시장 : 유형별, 분석과 예측, 2019-2024, 2024-2029F, 2034F
• 재료 발견 및 설계
• 예측 모델링 및 시뮬레이션
• 프로세스 최적화
• 세계의 재료과학 분야 생성형 AI 시장 : 전개 형태별, 분석과 예측, 2019-2024, 2024-2029F, 2034F
• 클라우드 기반
• On-Premise
• 하이브리드
• 세계의 재료과학 분야 생성형 AI 시장 : 용도별, 분석과 예측, 2019-2024, 2024-2029F, 2034F
• 의약품 및 화학제품
• 일렉트로닉스 및 반도체
• 에너지 저장 및 변환
• 자동차 및 항공우주
• 건설 및 인프라
• 소비재
• 기타 용도
• 세계의 재료과학 분야 생성형 AI 시장 : 재료 발견 및 설계별, 분석과 예측, 2019-2024, 2024-2029F, 2034F
• AI 기반 재료 스크리닝
• AI 기반 계산 화학
• 양자 재료 설계
• 재료 특성 예측
• 세계의 재료과학 분야 생성형 AI 시장 : 예측 모델링 및 시뮬레이션별, 분석과 예측, 2019-2024, 2024-2029F, 2034F
• AI에 의한 재료 거동 시뮬레이션
• 재료 성능 예측 분석
• 고장 예측 및 신뢰성 분석
• 열 및 기계 특성 시뮬레이션
• 세계의 재료과학 분야 생성형 AI 시장 프로세스 최적화별, 분석과 예측, 2019-2024, 2024-2029F, 2034F
• 제조 공정 최적화를 위한 AI
• 재료 처리에서의 에너지 효율
• 재료 생산에서의 AI 구동형 품질 관리
• 재료 공급망 최적화

제7장 지역별/국가별 분석

• 세계의 재료과학 분야 생성형 AI 시장 : 지역별, 분석과 예측, 2019-2024, 2024-2029F, 2034F
• 세계의 재료과학 분야 생성형 AI 시장 : 국가별, 분석과 예측, 2019-2024, 2024-2029F, 2034F

제8장 아시아태평양 시장

제9장 중국 시장

제10장 인도 시장

제11장 일본 시장

제12장 호주 시장

제13장 인도네시아 시장

제14장 한국 시장

제15장 서유럽 시장

제16장 영국 시장

제17장 독일 시장

제18장 프랑스 시장

제19장 이탈리아 시장

제20장 스페인 시장

제21장 동유럽 시장

제22장 러시아 시장

제23장 북미 시장

제24장 미국 시장

제25장 캐나다 시장

제26장 남미 시장

제27장 브라질 시장

제28장 중동 시장

제29장 아프리카 시장

제30장 경쟁 구도와 기업 개요

• 재료과학 분야 생성형 AI 시장 : 경쟁 구도
• 재료과학 분야 생성형 AI 시장 : 기업 개요
  • 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

제31장 기타 주요 기업 및 혁신 기업

• 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

제32장 세계 시장 경쟁 벤치마킹과 대시보드

제33장 주요 인수합병(M&A)

제34장 최근 시장 동향

제35장 시장 잠재력이 높은 국가, 부문, 전략

• 재료과학 분야 생성형 AI 시장(2029년) : 새로운 기회를 제공하는 국가
• 재료과학 분야 생성형 AI 시장(2029년) : 새로운 기회를 제공하는 부문
• 재료과학 분야 생성형 AI 시장(2029년) : 성장 전략
  • 시장 동향에 근거한 전략
  • 경쟁 전략

제36장 부록

LSH

영문 목차

영문목차

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

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