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市场调查报告书
商品编码
2013771

2026年全球材料发现领域人工智慧（AI）市场报告

Artificial Intelligence (AI) In Materials Discovery Global Market Report 2026
出版日期: | 出版商: The Business Research Company | 英文 250 Pages | 商品交期: 2-10个工作天内

价格
简介目录

近年来，人工智慧（AI）在材料发现领域的市场发展迅速。预计该市场规模将从2025年的7.4亿美元成长到2026年的9.7亿美元，复合年增长率（CAGR）高达30.3%。过去几年成长要素包括：计算建模的广泛应用、数位材料数据集的日益丰富、人工智慧驱动型研究投入的增加、机器学习在实验室中的应用日益广泛以及产学研合作的加强。

预计未来几年，用于材料发现的人工智慧（AI）市场将大幅成长，到2030年将达到27.7亿美元，复合年增长率（CAGR）高达30.0%。预测期内的成长要素包括：对快速发现先进材料的需求日益增长、对高性能储能材料的需求不断扩大、生成式人工智慧模型的应用日益普及、基于云端的模拟平台日益广泛应用，以及缩短研发週期的压力不断增加。预测期内的关键趋势包括：多模态人工智慧模型的进步、高通量计算筛检技术的创新、自主实验室系统的开发、材料特定基础模型的研发，以及量子增强材料模拟技术的进步。

未来几年，人工智慧驱动的运算建模和模拟技术的日益普及预计将推动人工智慧（AI）在材料发现市场的成长。人工智慧驱动的建模和模拟技术利用机器学习和计算演算法来预测材料性能、设计新型化合物并优化结构，从而减少对传统试验误实验的依赖。这种普及的驱动力来自研究机构和产业界日益增长的加速创新和降低研发成本的压力。人工智慧在材料发现领域的应用支援了这一趋势，它能够实现高通量虚拟筛检、精确的性能预测和新材料的快速识别。例如，2023年9月，美国政府研究机构艾姆斯国家实验室报告称，基于人工智慧的建模速度比第一原理计算提高了100倍，并成功识别出16种新的含磷（P）化合物。因此，人工智慧驱动的运算建模和模拟技术的日益普及正在推动材料发现领域人工智慧市场的成长。

在材料发现领域的人工智慧（AI）市场，主要企业正致力于推动大规模晶体结构预测技术的发展，例如利用深度学习寻找新型晶体化合物，以拓展化学空间、加速材料识别并优化计算筛检流程。大规模晶体结构预测采用基于图的神经网路和演算法搜寻系统，产生并评估数百万个假想晶体结构，并根据稳定性和性能标准进行排序。例如，2023年11月，总部位于英国的人工智慧公司谷歌旗下的DeepMind发布了GNoME，这是一个基于人工智慧的材料发现系统，预测了220万个新的晶体结构，并识别出其中约38万个具有潜在稳定性。该系统采用图神经网路模拟原子间相互作用，整合主动学习技术以持续改进预测结果，并应用高精度密度泛函理论（DFT）计算来检验结构稳定性。这项进展代表了计算材料发现领域的重大进步，它扩展了已知稳定晶体的库，加速了早期筛检，并使研究人员能够识别出各种材料类别中具有有前景的功能特性的候选材料。

目录

第一章执行摘要

第二章 市场特征

  • 市场定义和范围
  • 市场区隔
  • 主要产品和服务概述
  • 全球材料发现领域人工智慧（AI）市场：吸引力评分及分析
  • 成长潜力分析、竞争评估、策略适宜性评估、风险状况评估

第三章 市场供应链分析

  • 供应链与生态系概述
  • 清单：主要原料、资源和供应商
  • 主要经销商和通路合作伙伴名单
  • 主要最终用户列表

第四章：全球市场趋势与策略

  • 关键科技与未来趋势
    • 人工智慧（AI）和自主人工智慧
    • 永续性、气候技术、循环经济
    • 工业4.0和智慧製造
    • 生物技术、基因组学和精准医疗
    • 数位化、云端运算、巨量资料、网路安全
  • 主要趋势
    • 利用人工智慧模型加速虚拟材料筛检
    • 拓展生成式人工智慧在材料设计上的应用
    • 将人工智慧整合到计算化学工具中
    • 扩展基于云端的材料模拟平台
    • 加强产学合作

第五章 终端用户产业市场分析

  • 化工製造商
  • 製药公司
  • 研究机构
  • 製造公司
  • 其他最终用户

第六章 市场：宏观经济情景，包括利率、通货膨胀、地缘政治、贸易战和关税的影响、关税战和贸易保护主义对供应链的影响，以及 COVID-19 疫情对市场的影响。

第七章：全球策略分析架构、目前市场规模、市场对比及成长率分析

  • 全球材料发现领域人工智慧（AI）市场：PESTEL 分析（政治、社会、技术、环境、法律因素、驱动因素和限制因素）
  • 全球人工智慧（AI）市场规模、比较和成长率分析（材料发现）。
  • 全球人工智慧（AI）在材料发现领域的市场表现：规模与成长，2020-2025年
  • 全球人工智慧（AI）材料发现市场预测：规模与成长，2025-2030年及2035年预测

第八章：全球市场总规模（TAM）

第九章 市场细分

  • 报价
  • 软体、硬体和服务
  • 依材料类型
  • 聚合物、金属和合金、陶瓷、复合材料、奈米材料、半导体
  • 透过技术
  • 机器学习、深度学习、生成式人工智慧、自然语言处理
  • 部署模式
  • 本机部署、云端部署、混合式部署
  • 最终用户
  • 化工企业、製药企业、研究机构、製造业企业和其他终端用户
  • 按类型细分：软体
  • 预测建模平台、材料模拟工具、资料分析系统、分子设计软体、材料资讯学平台
  • 按类型细分：硬体
  • 用于运算建模的高效能运算系统、图形处理单元、专用加速器、资料储存伺服器和工作站。
  • 按类型细分：服务
  • 咨询与整合、客製化模型开发、资料管理服务、模拟与测试服务、培训与支持

第十章 区域与国别分析

  • 全球材料发现领域人工智慧（AI）市场：按地区划分，实际数据和预测数据，2020-2025年、2025-2030年、2035年
  • 全球材料发现领域人工智慧（AI）市场：按国家/地区划分，实际数据和预测数据，2020-2025年、2025-2030年、2035年

第十一章 亚太市场

第十二章：中国市场

第十三章：印度市场

第十四章：日本市场

第十五章：澳洲市场

第十六章：印尼市场

第十七章：韩国市场

第十八章 台湾市场

第十九章 东南亚市场

第20章 西欧市场

第21章英国市场

第22章：德国市场

第23章：法国市场

第24章：义大利市场

第25章：西班牙市场

第26章：东欧市场

第27章：俄罗斯市场

第28章 北美市场

第29章：美国市场

第三十章：加拿大市场

第31章：南美市场

第32章：巴西市场

第33章 中东市场

第34章：非洲市场

第三十五章 市场监理与投资环境

第36章：竞争格局与公司概况

  • 人工智慧（AI）在材料发现领域的市场：竞争格局和市场份额（2024年）
  • 材料发现领域人工智慧（AI）市场：公司估值矩阵
  • 材料发现领域的人工智慧（AI）市场：公司概况
    • Google LLC
    • Microsoft Corporation
    • BASF SE
    • International Business Machine Corp
    • Dassault Systemes

第37章 其他大型企业和创新企业

  • Nautilus Materials Inc., Schrodinger Inc., Enthought Inc., Citrine Informatics Inc., Iktos SA, Quantum Motion, Aionics Inc., Exabyte.io, Materials Zone Ltd., Aionics Inc., Polymerize AG, Atinary Technologies GmbH, Phaseshift Technologies, Polaron Analytics, Kebotix Inc.

第38章：全球市场竞争基准分析与仪錶板

第39章：预计进入市场的Start-Ups

第四十章 重大併购

第41章 具有高市场潜力的国家、细分市场与策略

  • 2030年人工智慧（AI）在材料发现领域的市场：提供新机会的国家
  • 2030年材料发现领域人工智慧（AI）市场：充满新机会的细分市场
  • 2030年材料发现领域人工智慧（AI）市场：成长策略
    • 基于市场趋势的策略
    • 竞争对手的策略

第42章附录

简介目录
Product Code: CH4MAMDA02_G26Q1

Artificial intelligence (AI) in materials discovery leverages AI to analyze extensive chemical and molecular datasets to predict new materials with desired properties. It accelerates research by automating simulations, identifying optimal compositions, and minimizing trial-and-error experimentation. This approach enables researchers to progress from concept to validated material candidates much faster than traditional methods.

The main offerings in the AI in materials discovery market include software, hardware, and services. Software consists of AI platforms, modeling tools, and simulation environments that facilitate data-driven materials design and prediction. The key material types addressed include polymers, metals and alloys, ceramics, composites, nanomaterials, and semiconductors, supporting innovation across diverse material classes. Core technologies used in this market include machine learning, deep learning, generative AI, and natural language processing, enabling accelerated materials screening, property prediction, and knowledge extraction from scientific data. Deployment modes include on-premises, cloud-based, and hybrid solutions. These solutions are utilized by end-users such as chemical companies, pharmaceutical companies, research institutions, manufacturing companies, and others.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

Tariffs have influenced the artificial intelligence in materials discovery market by raising costs of high performance computing systems, GPUs, and specialized accelerators required for simulation and modeling workloads. hardware intensive deployments are most affected, particularly in north america and asia-pacific where advanced compute infrastructure imports are concentrated. higher equipment costs have constrained on-premise investments. at the same time, tariffs have supported a shift toward cloud based simulation platforms and shared compute environments, improving accessibility and scalability for research organizations.

The artificial intelligence (AI) in materials discovery market research report is one of a series of new reports from The Business Research Company that provides artificial intelligence (AI) in materials discovery market statistics, including artificial intelligence (AI) in materials discovery industry global market size, regional shares, competitors with an artificial intelligence (AI) in materials discovery market share, detailed artificial intelligence (AI) in materials discovery market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence (AI) in materials discovery industry. The artificial intelligence (AI) in materials discovery 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 artificial intelligence (AI) in materials discovery market size has grown exponentially in recent years. It will grow from $0.74 billion in 2025 to $0.97 billion in 2026 at a compound annual growth rate (CAGR) of 30.3%. The growth in the historic period can be attributed to increasing adoption of computational modeling, growing availability of digital materials datasets, rising investment in artificial intelligence-based research, expanding use of machine learning in laboratories, and increasing industry-academia collaborations.

The artificial intelligence (AI) in materials discovery market size is expected to see exponential growth in the next few years. It will grow to $2.77 billion in 2030 at a compound annual growth rate (CAGR) of 30.0%. The growth in the forecast period can be attributed to increasing need for rapid discovery of advanced materials, growing demand for high-performance energy storage materials, rising adoption of generative artificial intelligence models, expanding deployment of cloud-based simulation platforms, and increasing pressure to shorten research and development cycles. Major trends in the forecast period include advancements in multimodal artificial intelligence models, innovations in high-throughput computational screening, developments in autonomous laboratory systems, research and development in materials-focused foundation models, and progress in quantum-enhanced materials simulations.

The growing adoption of AI-driven computational modeling and simulations is expected to drive the growth of the artificial intelligence (AI) in materials discovery market in the coming years. AI-driven modeling and simulations leverage machine learning and computational algorithms to predict material properties, design new compounds, and optimize structures, reducing dependence on traditional trial-and-error experimentation. This adoption is rising due to increasing pressure on research institutions and industries to accelerate innovation and lower development costs. AI in materials discovery supports this trend by enabling high-throughput virtual screening, accurate property prediction, and rapid identification of novel materials. For example, in September 2023, Ames National Laboratory, a US-based government research lab, reported that AI-based modeling achieved a 100X speed-up compared to first-principles calculations, leading to the identification of 16 new P-rich compounds. Hence, the increasing use of AI-driven computational modeling and simulations is fueling growth in the AI in materials discovery market.

Major companies in the artificial intelligence (AI) in materials discovery market are focusing on advancing large-scale crystal structure prediction, such as deep-learning-driven exploration of new crystalline compounds, to expand chemical space, accelerate material identification, and enhance computational screening workflows. Large-scale crystal structure prediction involves using graph-based neural networks and algorithmic exploration systems to generate, evaluate, and rank millions of hypothetical crystal structures against stability and performance criteria. For example, in November 2023, Google DeepMind, a UK-based AI company, introduced GNoME, an AI-powered materials discovery system that predicted 2.2 million new crystal structures, identifying approximately 380,000 as potentially stable. The system employs graph neural networks to model atomic interactions, integrates active learning to refine predictions continuously, and applies high-accuracy density functional theory (DFT) checks to validate structural stability. This development marks a significant advancement in computational materials discovery by expanding the library of known stable crystals, speeding up early-stage screening, and enabling researchers to identify candidates with promising functional properties across diverse material classes.

In October 2024, Comstock Inc., a US-based provider of renewable energy technologies and advanced materials solutions, acquired Quantum Generative Materials LLC (GenMat) for an undisclosed amount. Through this acquisition, Comstock aims to accelerate its AI-driven materials innovation by integrating GenMat's physics-based generative modeling platform, automated synthesis workflows, and specialized materials research capabilities. This integration is intended to expand Comstock's portfolio of high-performance, energy-efficient, and sustainability-focused materials, strengthening its long-term competitiveness in next-generation materials development. Quantum Generative Materials LLC is a US-based company offering AI-driven materials discovery solutions that combine computational modeling, advanced algorithms, and autonomous experimentation to design, predict, and optimize novel materials for applications in energy, sustainability, and advanced manufacturing.

Major companies operating in the artificial intelligence (AI) in materials discovery market are Google LLC, Microsoft Corporation, BASF SE, International Business Machine Corp, Dassault Systemes, Nautilus Materials Inc., Schrodinger Inc., Enthought Inc., Citrine Informatics Inc., Iktos SA, Quantum Motion, Aionics Inc., Exabyte.io, Materials Zone Ltd., Aionics Inc., Polymerize AG, Atinary Technologies GmbH, Phaseshift Technologies, Polaron Analytics, Kebotix Inc.

North America was the largest region in the artificial intelligence (AI) in materials discovery market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence (AI) in materials discovery market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the artificial intelligence (AI) in materials discovery market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The artificial intelligence in materials discovery market consists of revenues earned by entities by providing services such as developing predictive algorithms, running large-scale computational simulations, generating virtual material prototypes, delivering cloud-based modeling platforms, and offering data analytics that accelerate material identification and optimization. The market value includes the value of related goods sold by the service provider or included within the service offering.The artificial intelligence in materials discovery market includes sales of artificial intelligence-driven simulation software, machine learning modeling platforms, computational chemistry tools, materials property prediction engines, data management and analytics systems.Values in this market are 'factory gate' values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

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.

Artificial Intelligence (AI) In Materials Discovery Market Global Report 2026 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses artificial intelligence (ai) in materials discovery 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 artificial intelligence (ai) in materials discovery ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The artificial intelligence (ai) in materials discovery 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, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, 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. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
  • The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
  • The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
  • The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
  • 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 technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
  • The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
  • The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
  • 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.
  • Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
  • 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 company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.

Scope

  • Markets Covered:1) By Offering: Software; Hardware; Services
  • 2) By Material Type: Polymers; Metals and Alloys; Ceramics; Composites; Nanomaterials; Semiconductors
  • 3) By Technology: Machine Learning; Deep Learning; Generative Artificial Intelligence; Natural Language Processing
  • 4) By Deployment Mode: On Premise; Cloud Based; Hybrid
  • 5) By End-User: Chemical Companies; Pharmaceutical Companies; Research Institutions; Manufacturing Companies; Other End-Users
  • Subsegments:
  • 1) By Software: Predictive Modeling Platforms; Materials Simulation Tools; Data Analytics Systems; Molecular Design Software; Materials Informatics Platforms
  • 2) By Hardware: High Performance Computing Systems; Graphics Processing Units; Specialized Accelerators; Data Storage Servers; Workstations For Computational Modeling
  • 3) By Services: Consulting And Integration; Custom Model Development; Data Management Services; Simulation And Testing Services; Training And Support
  • Companies Mentioned: Google LLC; Microsoft Corporation; BASF SE; International Business Machine Corp; Dassault Systemes; Nautilus Materials Inc.; Schrodinger Inc.; Enthought Inc.; Citrine Informatics Inc.; Iktos SA; Quantum Motion; Aionics Inc.; Exabyte.io; Materials Zone Ltd.; Aionics Inc.; Polymerize AG; Atinary Technologies GmbH; Phaseshift Technologies; Polaron Analytics; Kebotix Inc.
  • Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain
  • Regions: Asia-Pacific; South East Asia; 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: Word, PDF or Interactive Report
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Table of Contents

1. Executive Summary

  • 1.1. Key Market Insights (2020-2035)
  • 1.2. Visual Dashboard: Market Size, Growth Rate, Hotspots
  • 1.3. Major Factors Driving the Market
  • 1.4. Top Three Trends Shaping the Market

2. Artificial Intelligence (AI) In Materials Discovery Market Characteristics

  • 2.1. Market Definition & Scope
  • 2.2. Market Segmentations
  • 2.3. Overview of Key Products and Services
  • 2.4. Global Artificial Intelligence (AI) In Materials Discovery Market Attractiveness Scoring And Analysis
    • 2.4.1. Overview of Market Attractiveness Framework
    • 2.4.2. Quantitative Scoring Methodology
    • 2.4.3. Factor-Wise Evaluation
  • Growth Potential Analysis, Competitive Dynamics Assessment, Strategic Fit Assessment And Risk Profile Evaluation
    • 2.4.4. Market Attractiveness Scoring and Interpretation
    • 2.4.5. Strategic Implications and Recommendations

3. Artificial Intelligence (AI) In Materials Discovery Market Supply Chain Analysis

  • 3.1. Overview of the Supply Chain and Ecosystem
  • 3.2. List Of Key Raw Materials, Resources & Suppliers
  • 3.3. List Of Major Distributors and Channel Partners
  • 3.4. List Of Major End Users

4. Global Artificial Intelligence (AI) In Materials Discovery Market Trends And Strategies

  • 4.1. Key Technologies & Future Trends
    • 4.1.1 Artificial Intelligence & Autonomous Intelligence
    • 4.1.2 Sustainability, Climate Tech & Circular Economy
    • 4.1.3 Industry 4.0 & Intelligent Manufacturing
    • 4.1.4 Biotechnology, Genomics & Precision Medicine
    • 4.1.5 Digitalization, Cloud, Big Data & Cybersecurity
  • 4.2. Major Trends
    • 4.2.1 Accelerated Virtual Material Screening Using Ai Models
    • 4.2.2 Increasing Use Of Generative Ai For Material Design
    • 4.2.3 Integration Of Ai With Computational Chemistry Tools
    • 4.2.4 Expansion Of Cloud Based Materials Simulation Platforms
    • 4.2.5 Rising Collaboration Between Academia And Industry

5. Artificial Intelligence (AI) In Materials Discovery Market Analysis Of End Use Industries

  • 5.1 Chemical Companies
  • 5.2 Pharmaceutical Companies
  • 5.3 Research Institutions
  • 5.4 Manufacturing Companies
  • 5.5 Other End-Users

6. Artificial Intelligence (AI) In Materials Discovery Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, Supply Chain Impact from Tariff War & Trade Protectionism, And Covid And Recovery On The Market

7. Global Artificial Intelligence (AI) In Materials Discovery Strategic Analysis Framework, Current Market Size, Market Comparisons And Growth Rate Analysis

  • 7.1. Global Artificial Intelligence (AI) In Materials Discovery PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
  • 7.2. Global Artificial Intelligence (AI) In Materials Discovery Market Size, Comparisons And Growth Rate Analysis
  • 7.3. Global Artificial Intelligence (AI) In Materials Discovery Historic Market Size and Growth, 2020 - 2025, Value ($ Billion)
  • 7.4. Global Artificial Intelligence (AI) In Materials Discovery Forecast Market Size and Growth, 2025 - 2030, 2035F, Value ($ Billion)

8. Global Artificial Intelligence (AI) In Materials Discovery Total Addressable Market (TAM) Analysis for the Market

  • 8.1. Definition and Scope of Total Addressable Market (TAM)
  • 8.2. Methodology and Assumptions
  • 8.3. Global Total Addressable Market (TAM) Estimation
  • 8.4. TAM vs. Current Market Size Analysis
  • 8.5. Strategic Insights and Growth Opportunities from TAM Analysis

9. Artificial Intelligence (AI) In Materials Discovery Market Segmentation

  • 9.1. Global Artificial Intelligence (AI) In Materials Discovery Market, Segmentation By Offering, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Software, Hardware, Services
  • 9.2. Global Artificial Intelligence (AI) In Materials Discovery Market, Segmentation By Material Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Polymers, Metals And Alloys, Ceramics, Composites, Nanomaterials, Semiconductors
  • 9.3. Global Artificial Intelligence (AI) In Materials Discovery Market, Segmentation By Technology, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Machine Learning, Deep Learning, Generative Artificial Intelligence, Natural Language Processing
  • 9.4. Global Artificial Intelligence (AI) In Materials Discovery Market, Segmentation By Deployment Mode, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • On Premise, Cloud Based, Hybrid
  • 9.5. Global Artificial Intelligence (AI) In Materials Discovery Market, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Chemical Companies, Pharmaceutical Companies, Research Institutions, Manufacturing Companies, Other End-Users
  • 9.6. Global Artificial Intelligence (AI) In Materials Discovery Market, Sub-Segmentation Of Software, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Predictive Modeling Platforms, Materials Simulation Tools, Data Analytics Systems, Molecular Design Software, Materials Informatics Platforms
  • 9.7. Global Artificial Intelligence (AI) In Materials Discovery Market, Sub-Segmentation Of Hardware, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • High Performance Computing Systems, Graphics Processing Units, Specialized Accelerators, Data Storage Servers, Workstations For Computational Modeling
  • 9.8. Global Artificial Intelligence (AI) In Materials Discovery Market, Sub-Segmentation Of Services, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Consulting And Integration, Custom Model Development, Data Management Services, Simulation And Testing Services, Training And Support

10. Artificial Intelligence (AI) In Materials Discovery Market Regional And Country Analysis

  • 10.1. Global Artificial Intelligence (AI) In Materials Discovery Market, Split By Region, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • 10.2. Global Artificial Intelligence (AI) In Materials Discovery Market, Split By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

11. Asia-Pacific Artificial Intelligence (AI) In Materials Discovery Market

  • 11.1. Asia-Pacific Artificial Intelligence (AI) In Materials Discovery Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 11.2. Asia-Pacific Artificial Intelligence (AI) In Materials Discovery Market, Segmentation By Offering, Segmentation By Material Type, Segmentation By Technology, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

12. China Artificial Intelligence (AI) In Materials Discovery Market

  • 12.1. China Artificial Intelligence (AI) In Materials Discovery Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 12.2. China Artificial Intelligence (AI) In Materials Discovery Market, Segmentation By Offering, Segmentation By Material Type, Segmentation By Technology, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

13. India Artificial Intelligence (AI) In Materials Discovery Market

  • 13.1. India Artificial Intelligence (AI) In Materials Discovery Market, Segmentation By Offering, Segmentation By Material Type, Segmentation By Technology, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

14. Japan Artificial Intelligence (AI) In Materials Discovery Market

  • 14.1. Japan Artificial Intelligence (AI) In Materials Discovery Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 14.2. Japan Artificial Intelligence (AI) In Materials Discovery Market, Segmentation By Offering, Segmentation By Material Type, Segmentation By Technology, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

15. Australia Artificial Intelligence (AI) In Materials Discovery Market

  • 15.1. Australia Artificial Intelligence (AI) In Materials Discovery Market, Segmentation By Offering, Segmentation By Material Type, Segmentation By Technology, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

16. Indonesia Artificial Intelligence (AI) In Materials Discovery Market

  • 16.1. Indonesia Artificial Intelligence (AI) In Materials Discovery Market, Segmentation By Offering, Segmentation By Material Type, Segmentation By Technology, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

17. South Korea Artificial Intelligence (AI) In Materials Discovery Market

  • 17.1. South Korea Artificial Intelligence (AI) In Materials Discovery Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 17.2. South Korea Artificial Intelligence (AI) In Materials Discovery Market, Segmentation By Offering, Segmentation By Material Type, Segmentation By Technology, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

18. Taiwan Artificial Intelligence (AI) In Materials Discovery Market

  • 18.1. Taiwan Artificial Intelligence (AI) In Materials Discovery Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 18.2. Taiwan Artificial Intelligence (AI) In Materials Discovery Market, Segmentation By Offering, Segmentation By Material Type, Segmentation By Technology, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

19. South East Asia Artificial Intelligence (AI) In Materials Discovery Market

  • 19.1. South East Asia Artificial Intelligence (AI) In Materials Discovery Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 19.2. South East Asia Artificial Intelligence (AI) In Materials Discovery Market, Segmentation By Offering, Segmentation By Material Type, Segmentation By Technology, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

20. Western Europe Artificial Intelligence (AI) In Materials Discovery Market

  • 20.1. Western Europe Artificial Intelligence (AI) In Materials Discovery Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 20.2. Western Europe Artificial Intelligence (AI) In Materials Discovery Market, Segmentation By Offering, Segmentation By Material Type, Segmentation By Technology, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

21. UK Artificial Intelligence (AI) In Materials Discovery Market

  • 21.1. UK Artificial Intelligence (AI) In Materials Discovery Market, Segmentation By Offering, Segmentation By Material Type, Segmentation By Technology, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

22. Germany Artificial Intelligence (AI) In Materials Discovery Market

  • 22.1. Germany Artificial Intelligence (AI) In Materials Discovery Market, Segmentation By Offering, Segmentation By Material Type, Segmentation By Technology, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

23. France Artificial Intelligence (AI) In Materials Discovery Market

  • 23.1. France Artificial Intelligence (AI) In Materials Discovery Market, Segmentation By Offering, Segmentation By Material Type, Segmentation By Technology, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

24. Italy Artificial Intelligence (AI) In Materials Discovery Market

  • 24.1. Italy Artificial Intelligence (AI) In Materials Discovery Market, Segmentation By Offering, Segmentation By Material Type, Segmentation By Technology, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

25. Spain Artificial Intelligence (AI) In Materials Discovery Market

  • 25.1. Spain Artificial Intelligence (AI) In Materials Discovery Market, Segmentation By Offering, Segmentation By Material Type, Segmentation By Technology, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

26. Eastern Europe Artificial Intelligence (AI) In Materials Discovery Market

  • 26.1. Eastern Europe Artificial Intelligence (AI) In Materials Discovery Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 26.2. Eastern Europe Artificial Intelligence (AI) In Materials Discovery Market, Segmentation By Offering, Segmentation By Material Type, Segmentation By Technology, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

27. Russia Artificial Intelligence (AI) In Materials Discovery Market

  • 27.1. Russia Artificial Intelligence (AI) In Materials Discovery Market, Segmentation By Offering, Segmentation By Material Type, Segmentation By Technology, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

28. North America Artificial Intelligence (AI) In Materials Discovery Market

  • 28.1. North America Artificial Intelligence (AI) In Materials Discovery Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 28.2. North America Artificial Intelligence (AI) In Materials Discovery Market, Segmentation By Offering, Segmentation By Material Type, Segmentation By Technology, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

29. USA Artificial Intelligence (AI) In Materials Discovery Market

  • 29.1. USA Artificial Intelligence (AI) In Materials Discovery Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 29.2. USA Artificial Intelligence (AI) In Materials Discovery Market, Segmentation By Offering, Segmentation By Material Type, Segmentation By Technology, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

30. Canada Artificial Intelligence (AI) In Materials Discovery Market

  • 30.1. Canada Artificial Intelligence (AI) In Materials Discovery Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 30.2. Canada Artificial Intelligence (AI) In Materials Discovery Market, Segmentation By Offering, Segmentation By Material Type, Segmentation By Technology, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

31. South America Artificial Intelligence (AI) In Materials Discovery Market

  • 31.1. South America Artificial Intelligence (AI) In Materials Discovery Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 31.2. South America Artificial Intelligence (AI) In Materials Discovery Market, Segmentation By Offering, Segmentation By Material Type, Segmentation By Technology, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

32. Brazil Artificial Intelligence (AI) In Materials Discovery Market

  • 32.1. Brazil Artificial Intelligence (AI) In Materials Discovery Market, Segmentation By Offering, Segmentation By Material Type, Segmentation By Technology, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

33. Middle East Artificial Intelligence (AI) In Materials Discovery Market

  • 33.1. Middle East Artificial Intelligence (AI) In Materials Discovery Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 33.2. Middle East Artificial Intelligence (AI) In Materials Discovery Market, Segmentation By Offering, Segmentation By Material Type, Segmentation By Technology, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

34. Africa Artificial Intelligence (AI) In Materials Discovery Market

  • 34.1. Africa Artificial Intelligence (AI) In Materials Discovery Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 34.2. Africa Artificial Intelligence (AI) In Materials Discovery Market, Segmentation By Offering, Segmentation By Material Type, Segmentation By Technology, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

35. Artificial Intelligence (AI) In Materials Discovery Market Regulatory and Investment Landscape

36. Artificial Intelligence (AI) In Materials Discovery Market Competitive Landscape And Company Profiles

  • 36.1. Artificial Intelligence (AI) In Materials Discovery Market Competitive Landscape And Market Share 2024
    • 36.1.1. Top 10 Companies (Ranked by revenue/share)
  • 36.2. Artificial Intelligence (AI) In Materials Discovery Market - Company Scoring Matrix
    • 36.2.1. Market Revenues
    • 36.2.2. Product Innovation Score
    • 36.2.3. Brand Recognition
  • 36.3. Artificial Intelligence (AI) In Materials Discovery Market Company Profiles
    • 36.3.1. Google LLC Overview, Products and Services, Strategy and Financial Analysis
    • 36.3.2. Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 36.3.3. BASF SE Overview, Products and Services, Strategy and Financial Analysis
    • 36.3.4. International Business Machine Corp Overview, Products and Services, Strategy and Financial Analysis
    • 36.3.5. Dassault Systemes Overview, Products and Services, Strategy and Financial Analysis

37. Artificial Intelligence (AI) In Materials Discovery Market Other Major And Innovative Companies

  • Nautilus Materials Inc., Schrodinger Inc., Enthought Inc., Citrine Informatics Inc., Iktos SA, Quantum Motion, Aionics Inc., Exabyte.io, Materials Zone Ltd., Aionics Inc., Polymerize AG, Atinary Technologies GmbH, Phaseshift Technologies, Polaron Analytics, Kebotix Inc.

38. Global Artificial Intelligence (AI) In Materials Discovery Market Competitive Benchmarking And Dashboard

39. Upcoming Startups in the Market

40. Key Mergers And Acquisitions In The Artificial Intelligence (AI) In Materials Discovery Market

41. Artificial Intelligence (AI) In Materials Discovery Market High Potential Countries, Segments and Strategies

  • 41.1 Artificial Intelligence (AI) In Materials Discovery Market In 2030 - Countries Offering Most New Opportunities
  • 41.2 Artificial Intelligence (AI) In Materials Discovery Market In 2030 - Segments Offering Most New Opportunities
  • 41.3 Artificial Intelligence (AI) In Materials Discovery Market In 2030 - Growth Strategies
    • 41.3.1 Market Trend Based Strategies
    • 41.3.2 Competitor Strategies

42. Appendix

  • 42.1. Abbreviations
  • 42.2. Currencies
  • 42.3. Historic And Forecast Inflation Rates
  • 42.4. Research Inquiries
  • 42.5. The Business Research Company
  • 42.6. Copyright And Disclaimer