2025-2029年全球材料科學領域生成式人工智慧市場

預計 2024-2029 年預測期內，全球材料科學領域生成式人工智慧市場規模將達 17.053 億美元，複合年成長率為 27.9%。

本報告對材料科學領域生成式人工智慧的全球市場進行了全面分析，包括市場規模和預測、趨勢、成長要素和挑戰，以及對約 25 家供應商的分析。

該報告對當前市場狀況、最新趨勢和促進因素以及整體市場環境進行了最新分析。市場成長的促進因素包括：工業界對下一代材料日益成長的需求、全球對永續性和綠色材料的追求、先進計算技術的融合、數據量的指數級成長以及日益複雜的演算法。

本研究採用客觀的方法，結合一手和二手訊息，包括來自主要行業相關人員的意見。報告包含全面的市場規模數據、區域細分分析、供應商格局以及對主要企業的分析。報告提供歷史數據和預測數據。

該研究指出，與自主實驗室整合以創建封閉回路型發現平台是未來幾年推動全球材料科學領域生成式人工智慧市場成長的主要因素之一。此外，材料科學專用基礎模型的開發以及向多用途設計和可製造性設計方向的轉變，預計也將為市場帶來巨大的需求。

目錄

第1章執行摘要

第2章 Technavio 分析

• 價格回應性、生命週期、顧客購買籃子、採納率和購買標準分析
• 投入與差異化因素的重要性
• 混淆來源
• 促進因素和挑戰的影響

第3章 市場情勢

• 市場生態系統
• 市場特徵
• 價值鏈分析

第4章 市場規模

• 市場定義
• 市場區隔分析
• 2024年市場規模
• 2024-2029年市場展望

第5章 市場規模表現

• 2019-2023年全球材料科學領域生成式人工智慧市場
• 類型細分分析，2019-2023年
• 部署細分市場分析，2019-2023 年
• 應用細分市場分析，2019-2023 年
• 區域細分市場分析，2019-2023年
• 國家細分市場分析，2019-2023年

第6章五力分析

• 五力分析概述
• 買方的議價能力
• 供應商的議價能力
• 新進入者的威脅
• 替代品的威脅
• 競爭威脅
• 市場狀況

7. 按類型分類的市場細分

• 比較：按類型
• 材料發現與設計
• 預測建模與仿真
• 流程最佳化
• 按類型分類的市場機會

8. 依部署方式進行市場區隔

• 比較：依部署方式
• 基於雲端的
• 本地部署
• 混合
• 按部署方式分類的市場機會

第9章 按應用進行市場細分

• 比較：透過應用
• 醫藥和化學品
• 汽車和航太
• 電子裝置和半導體
• 能量儲存與轉換
• 其他
• 按應用分類的市場機會

第10章 客戶情況

第11章 區域情勢

• 區域細分
• 區域比較
• 北美洲
  • 美國
  • 加拿大
  • 墨西哥
• 歐洲
  • 德國
  • 英國
  • 法國
  • 義大利
  • 荷蘭
  • 西班牙
• 亞太地區
  • 中國
  • 日本
  • 印度
  • 韓國
  • 澳洲
  • 印尼
• 南美洲
  • 巴西
  • 阿根廷
  • 哥倫比亞
• 中東和非洲
  • 沙烏地阿拉伯
  • 阿拉伯聯合大公國
  • 南非
  • 以色列
  • 土耳其
• 各區域的市場機遇

第12章：促進因素、挑戰與機遇

• 市場促進因素
• 市場挑戰
• 促進因素和挑戰的影響
• 市場機遇

第13章 競爭格局

• 概述
• 競爭格局
• 令人困惑的局面
• 產業風險

第14章 競爭分析

• 公司簡介
• 企業排名指數
• 公司市場定位
• 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15章附錄

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