2025-2029年全球材料科学领域生成式人工智慧市场

预计 2024-2029 年预测期内，全球材料科学领域生成式人工智慧市场规模将达 17.053 亿美元，复合年增长率为 27.9%。

本报告对材料科学领域生成式人工智慧的全球市场进行了全面分析，包括市场规模和预测、趋势、成长要素和挑战，以及对约 25 家供应商的分析。

该报告对当前市场状况、最新趋势和驱动因素以及整体市场环境进行了最新分析。市场成长的驱动因素包括：工业界对下一代材料日益增长的需求、全球对永续性和绿色材料的追求、先进计算技术的融合、数据量的指数级增长以及日益复杂的演算法。

本研究采用客观的方法，结合一手和二手讯息，包括来自主要行业相关人员的意见。报告包含全面的市场规模数据、区域細項分析、供应商格局以及对主要企业的分析。报告提供历史数据和预测数据。

该研究指出，与自主实验室整合以创建封闭回路型发现平台是未来几年推动全球材料科学领域生成式人工智慧市场成长的主要因素之一。此外，材料科学专用基础模型的开发以及向多用途设计和可製造性设计方向的转变，预计也将为市场带来巨大的需求。

目录

第一章执行摘要

第二章 Technavio 分析

• 价格回应性、生命週期、顾客购买篮子、采纳率和购买标准分析
• 投入与差异化因素的重要性
• 混淆来源
• 驱动因素和挑战的影响

第三章 市场情势

• 市场生态系统
• 市场特征
• 价值链分析

第四章 市场规模

• 市场定义
• 市场区隔分析
• 2024年市场规模
• 2024-2029年市场展望

第五章 市场规模表现

• 2019-2023年全球材料科学领域生成式人工智慧市场
• 类型細項分析，2019-2023年
• 部署细分市场分析，2019-2023 年
• 应用细分市场分析，2019-2023 年
• 区域细分市场分析，2019-2023年
• 国家细分市场分析，2019-2023年

第六章五力分析

• 五力分析概述
• 买方的议价能力
• 供应商的议价能力
• 新进入者的威胁
• 替代品的威胁
• 竞争威胁
• 市场状况

7. 按类型分類的市场细分

• 比较：按类型
• 材料发现与设计
• 预测建模与仿真
• 流程优化
• 按类型分類的市场机会

8. 依部署方式进行市场区隔

• 比较：依部署方式
• 基于云端的
• 本地部署
• 杂交种
• 按部署方式分類的市场机会

第九章 按应用进行市场细分

• 比较：透过应用
• 医药和化学品
• 汽车和航太
• 电子装置和半导体
• 能量储存与转换
• 其他的
• 按应用分類的市场机会

第十章 客户情况

第十一章 区域情势

• 区域细分
• 区域比较
• 北美洲
  • 美国
  • 加拿大
  • 墨西哥
• 欧洲
  • 德国
  • 英国
  • 法国
  • 义大利
  • 荷兰
  • 西班牙
• 亚太地区
  • 中国
  • 日本
  • 印度
  • 韩国
  • 澳洲
  • 印尼
• 南美洲
  • 巴西
  • 阿根廷
  • 哥伦比亚
• 中东和非洲
  • 沙乌地阿拉伯
  • 阿拉伯聯合大公国
  • 南非
  • 以色列
  • 土耳其
• 各区域的市场机会

第十二章：驱动因素、挑战与机会

• 市场驱动因素
• 市场挑战
• 驱动因素和挑战的影响
• 市场机会

第十三章 竞争格局

• 概述
• 竞争格局
• 令人困惑的局面
• 产业风险

第十四章 竞争分析

• 公司简介
• 企业排名指数
• 公司市场定位
• Arzeda Corp.
• BASF SE
• Citrine Informatics Inc.
• Dassault Systemes SE
• DeepMaterials LLC
• Google LLC
• IBM Corp.
• Mat3ra Inc.
• MaterialsZone Ltd.
• Microsoft Corp.
• NVIDIA Corp.
• Optibrium
• Orbital Materials Inc.
• sandboxAQ
• Schrodinger Inc.

第十五章附录

The global generative AI in material science market is forecasted to grow by USD 1705.3 mn during 2024-2029, accelerating at a CAGR of 27.9% during the forecast period. The report on the global generative AI in material science market provides a holistic analysis, market size and forecast, trends, growth drivers, and challenges, as well as vendor analysis covering around 25 vendors.

The report offers an up-to-date analysis regarding the current market scenario, the latest trends and drivers, and the overall market environment. The market is driven by intensifying industrial demand for next-generation materials, global sustainability mandate and quest for green materials, technological convergence of advanced computation, data proliferation, and algorithmic sophistication.

The study was conducted using an objective combination of primary and secondary information including inputs from key participants in the industry. The report contains a comprehensive market size data, segment with regional analysis and vendor landscape in addition to an analysis of the key companies. Reports have historic and forecast data.

Technavio's global generative AI in material science market is segmented as below:

By Type

• Materials discovery and design
• Predictive modeling and simulation
• Process optimization

By Deployment

• Cloud based
• On premises
• Hybrid

By Application

• Pharmaceuticals and chemicals
• Automotive and aerospace
• Electronics and semiconductors
• Energy storage and conversion
• Others

Geography

• North America
  • US
  • Canada
  • Mexico
• Europe
  • Germany
  • UK
  • France
  • Italy
  • The Netherlands
  • Spain
• APAC
  • China
  • Japan
  • India
  • South Korea
  • Australia
  • Indonesia
• South America
  • Brazil
  • Argentina
  • Colombia
• Middle East and Africa
  • UAE
  • South Africa
  • Turkey
• Rest of World (ROW)

This study identifies the integration with autonomous laboratories to create closed-loop discovery platforms as one of the prime reasons driving the global generative AI in material science market growth during the next few years. Also, development of domain-specific foundation models for materials science and shift towards multi-objective and manufacturability-aware design will lead to sizable demand in the market.

The report on the global generative AI in material science market covers the following areas:

• Global generative AI in material science market sizing
• Global generative AI in material science market forecast
• Global generative AI in material science market industry analysis

The robust vendor analysis is designed to help clients improve their market position, and in line with this, this report provides a detailed analysis of several leading global generative AI in material science market vendors that include Aionics Inc., Arzeda Corp., BASF SE, Citrine Informatics Inc., Dassault Systemes SE, DeepMaterials LLC, Google LLC, IBM Corp., Kebotix Inc., Mat3ra Inc., MaterialsZone Ltd., Microsoft Corp., NVIDIA Corp., Optibrium, Orbital Materials Inc., Phaseshift Inc., Quantum Generative Materials LLC, sandboxAQ, Schrodinger Inc.. Also, the global generative AI in material science market analysis report includes information on upcoming trends and challenges that will influence market growth. This is to help companies strategize and leverage all forthcoming growth opportunities.

The publisher presents a detailed picture of the market by the way of study, synthesis, and summation of data from multiple sources by an analysis of key parameters such as profit, pricing, competition, and promotions. It presents various market facets by identifying the key industry influencers. The data presented is comprehensive, reliable, and a result of extensive primary and secondary research. The market research reports provide a complete competitive landscape and an in-depth vendor selection methodology and analysis using qualitative and quantitative research to forecast accurate market growth.

Table of Contents

1 Executive Summary

• 1.1 Market overview
  • Executive Summary - Chart on Market Overview
  • Executive Summary - Data Table on Market Overview
  • Executive Summary - Chart on Global Market Characteristics
  • Executive Summary - Chart on Market by Geography
  • Executive Summary - Chart on Market Segmentation by Type
  • Executive Summary - Chart on Market Segmentation by Deployment
  • Executive Summary - Chart on Market Segmentation by Application
  • Executive Summary - Chart on Incremental Growth
  • Executive Summary - Data Table on Incremental Growth
  • Executive Summary - Chart on Company Market Positioning

2 Technavio Analysis

• 2.1 Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
  • Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
• 2.2 Criticality of inputs and Factors of differentiation
• 2.3 Factors of disruption
• 2.4 Impact of drivers and challenges

3 Market Landscape

• 3.1 Market ecosystem
• 3.2 Market characteristics
• 3.3 Value chain analysis

4 Market Sizing

• 4.1 Market definition
• 4.2 Market segment analysis
  • Market segments
• 4.3 Market size 2024
• 4.4 Market outlook: Forecast for 2024-2029

5 Historic Market Size

• 5.1 Global Generative AI In Material Science Market 2019 - 2023
  • Historic Market Size - Data Table on Global Generative AI In Material Science Market 2019 - 2023 ($ million)
• 5.2 Type segment analysis 2019 - 2023
  • Historic Market Size - Type Segment 2019 - 2023 ($ million)
• 5.3 Deployment segment analysis 2019 - 2023
  • Historic Market Size - Deployment Segment 2019 - 2023 ($ million)
• 5.4 Application segment analysis 2019 - 2023
  • Historic Market Size - Application Segment 2019 - 2023 ($ million)
• 5.5 Geography segment analysis 2019 - 2023
  • Historic Market Size - Geography Segment 2019 - 2023 ($ million)
• 5.6 Country segment analysis 2019 - 2023
  • Historic Market Size - Country Segment 2019 - 2023 ($ million)

6 Five Forces Analysis

• 6.1 Five forces summary
  • Five forces analysis - Comparison between 2024 and 2029
• 6.2 Bargaining power of buyers
  • Bargaining power of buyers - Impact of key factors 2024 and 2029
• 6.3 Bargaining power of suppliers
  • Bargaining power of suppliers - Impact of key factors in 2024 and 2029
• 6.4 Threat of new entrants
  • Threat of new entrants - Impact of key factors in 2024 and 2029
• 6.5 Threat of substitutes
  • Threat of substitutes - Impact of key factors in 2024 and 2029
• 6.6 Threat of rivalry
  • Threat of rivalry - Impact of key factors in 2024 and 2029
• 6.7 Market condition

7 Market Segmentation by Type

• 7.1 Market segments
• 7.2 Comparison by Type
• 7.3 Materials discovery and design - Market size and forecast 2024-2029
• 7.4 Predictive modeling and simulation - Market size and forecast 2024-2029
• 7.5 Process optimization - Market size and forecast 2024-2029
• 7.6 Market opportunity by Type
  • Market opportunity by Type ($ million)

8 Market Segmentation by Deployment

• 8.1 Market segments
• 8.2 Comparison by Deployment
• 8.3 Cloud based - Market size and forecast 2024-2029
• 8.4 On premises - Market size and forecast 2024-2029
• 8.5 Hybrid - Market size and forecast 2024-2029
• 8.6 Market opportunity by Deployment
  • Market opportunity by Deployment ($ million)

9 Market Segmentation by Application

• 9.1 Market segments
• 9.2 Comparison by Application
• 9.3 Pharmaceuticals and chemicals - Market size and forecast 2024-2029
• 9.4 Automotive and aerospace - Market size and forecast 2024-2029
• 9.5 Electronics and semiconductors - Market size and forecast 2024-2029
• 9.6 Energy storage and conversion - Market size and forecast 2024-2029
• 9.7 Others - Market size and forecast 2024-2029
• 9.8 Market opportunity by Application
  • Market opportunity by Application ($ million)

10 Customer Landscape

• 10.1 Customer landscape overview
  • Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria

11 Geographic Landscape

• 11.1 Geographic segmentation
• 11.2 Geographic comparison
• 11.3 North America - Market size and forecast 2024-2029
  • 11.3.1 US - Market size and forecast 2024-2029
  • 11.3.2 Canada - Market size and forecast 2024-2029
  • 11.3.3 Mexico - Market size and forecast 2024-2029
• 11.4 Europe - Market size and forecast 2024-2029
  • 11.4.1 Germany - Market size and forecast 2024-2029
  • 11.4.2 UK - Market size and forecast 2024-2029
  • 11.4.3 France - Market size and forecast 2024-2029
  • 11.4.4 Italy - Market size and forecast 2024-2029
  • 11.4.5 The Netherlands - Market size and forecast 2024-2029
  • 11.4.6 Spain - Market size and forecast 2024-2029
• 11.5 APAC - Market size and forecast 2024-2029
  • 11.5.1 China - Market size and forecast 2024-2029
  • 11.5.2 Japan - Market size and forecast 2024-2029
  • 11.5.3 India - Market size and forecast 2024-2029
  • 11.5.4 South Korea - Market size and forecast 2024-2029
  • 11.5.5 Australia - Market size and forecast 2024-2029
  • 11.5.6 Indonesia - Market size and forecast 2024-2029
• 11.6 South America - Market size and forecast 2024-2029
  • 11.6.1 Brazil - Market size and forecast 2024-2029
  • 11.6.2 Argentina - Market size and forecast 2024-2029
  • 11.6.3 Colombia - Market size and forecast 2024-2029
• 11.7 Middle East and Africa - Market size and forecast 2024-2029
  • 11.7.1 Saudi Arabia - Market size and forecast 2024-2029
  • 11.7.2 UAE - Market size and forecast 2024-2029
  • 11.7.3 South Africa - Market size and forecast 2024-2029
  • 11.7.4 Israel - Market size and forecast 2024-2029
  • 11.7.5 Turkey - Market size and forecast 2024-2029
• 11.8 Market opportunity by geography
  • Market opportunity by geography ($ million)
  • Data Tables on Market opportunity by geography ($ million)

12 Drivers, Challenges, and Opportunity

• 12.1 Market drivers
  • Intensifying industrial demand for next-generation materials
  • Global sustainability mandate and quest for green materials
  • Technological convergence of advanced computation, data proliferation, and algorithmic sophistication
• 12.2 Market challenges
  • Data scarcity and accessibility
  • Chasm of synthesizability and experimental validation
  • High implementation costs and scarcity of interdisciplinary talent
• 12.3 Impact of drivers and challenges
  • Impact of drivers and challenges in 2024 and 2029
• 12.4 Market opportunities
  • Integration with autonomous laboratories to create closed-loop discovery platforms
  • Development of domain-specific foundation models for materials science
  • Shift towards multi-objective and manufacturability-aware design

13 Competitive Landscape

• 13.1 Overview
• 13.2 Competitive Landscape
  • Overview on criticality of inputs and factors of differentiation
• 13.3 Landscape disruption
  • Overview on factors of disruption
• 13.4 Industry risks
  • Impact of key risks on business

14 Competitive Analysis

• 14.1 Companies profiled
  • Companies covered
• 14.2 Company ranking index
  • Company ranking index
• 14.3 Market positioning of companies
  • Matrix on companies position and classification
• 14.4 Arzeda Corp.
  • Arzeda Corp. - Overview
  • Arzeda Corp. - Product / Service
  • Arzeda Corp. - Key offerings
  • SWOT
• 14.5 BASF SE
  • BASF SE - Overview
  • BASF SE - Business segments
  • BASF SE - Key news
  • BASF SE - Key offerings
  • BASF SE - Segment focus
  • SWOT
• 14.6 Citrine Informatics Inc.
  • Citrine Informatics Inc. - Overview
  • Citrine Informatics Inc. - Product / Service
  • Citrine Informatics Inc. - Key offerings
  • SWOT
• 14.7 Dassault Systemes SE
  • Dassault Systemes SE - Overview
  • Dassault Systemes SE - Business segments
  • Dassault Systemes SE - Key news
  • Dassault Systemes SE - Key offerings
  • Dassault Systemes SE - Segment focus
  • SWOT
• 14.8 DeepMaterials LLC
  • DeepMaterials LLC - Overview
  • DeepMaterials LLC - Product / Service
  • DeepMaterials LLC - Key offerings
  • SWOT
• 14.9 Google LLC
  • Google LLC - Overview
  • Google LLC - Product / Service
  • Google LLC - Key offerings
  • SWOT
• 14.10 IBM Corp.
  • IBM Corp. - Overview
  • IBM Corp. - Business segments
  • IBM Corp. - Key news
  • IBM Corp. - Key offerings
  • IBM Corp. - Segment focus
  • SWOT
• 14.11 Mat3ra Inc.
  • Mat3ra Inc. - Overview
  • Mat3ra Inc. - Product / Service
  • Mat3ra Inc. - Key offerings
  • SWOT
• 14.12 MaterialsZone Ltd.
  • MaterialsZone Ltd. - Overview
  • MaterialsZone Ltd. - Product / Service
  • MaterialsZone Ltd. - Key offerings
  • SWOT
• 14.13 Microsoft Corp.
  • Microsoft Corp. - Overview
  • Microsoft Corp. - Business segments
  • Microsoft Corp. - Key news
  • Microsoft Corp. - Key offerings
  • Microsoft Corp. - Segment focus
  • SWOT
• 14.14 NVIDIA Corp.
  • NVIDIA Corp. - Overview
  • NVIDIA Corp. - Business segments
  • NVIDIA Corp. - Key news
  • NVIDIA Corp. - Key offerings
  • NVIDIA Corp. - Segment focus
  • SWOT
• 14.15 Optibrium
  • Optibrium - Overview
  • Optibrium - Product / Service
  • Optibrium - Key offerings
  • SWOT
• 14.16 Orbital Materials Inc.
  • Orbital Materials Inc. - Overview
  • Orbital Materials Inc. - Product / Service
  • Orbital Materials Inc. - Key offerings
  • SWOT
• 14.17 sandboxAQ
  • sandboxAQ - Overview
  • sandboxAQ - Product / Service
  • sandboxAQ - Key offerings
  • SWOT
• 14.18 Schrodinger Inc.
  • Schrodinger Inc. - Overview
  • Schrodinger Inc. - Business segments
  • Schrodinger Inc. - Key offerings
  • Schrodinger Inc. - Segment focus
  • SWOT

15 Appendix

• 15.1 Scope of the report
  • Market definition
  • Objectives
  • Notes and caveats
• 15.2 Inclusions and exclusions checklist
  • Inclusions checklist
  • Exclusions checklist
• 15.3 Currency conversion rates for US$
  • Currency conversion rates for US$
• 15.4 Research methodology
  • Research methodology
• 15.5 Data procurement
  • Information sources
• 15.6 Data validation
  • Data validation
• 15.7 Validation techniques employed for market sizing
  • Validation techniques employed for market sizing
• 15.8 Data synthesis
  • Data synthesis
• 15.9 360 degree market analysis
  • 360 degree market analysis
• 15.10 List of abbreviations
  • List of abbreviations