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市場調查報告書
商品編碼
2013771

2026年全球材料發現領域人工智慧（AI）市場報告

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個工作天內

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簡介目錄

近年來，人工智慧（AI）在材料發現領域的市場發展迅速。預計該市場規模將從2025年的7.4億美元成長到2026年的9.7億美元，複合年成長率（CAGR）高達30.3%。過去幾年成長要素包括：計算建模的廣泛應用、數位材料資料集的日益豐富、人工智慧驅動型研究投入的增加、機器學習在實驗室中的應用日益廣泛以及產學研合作的加強。

預計未來幾年，用於材料發現的人工智慧（AI）市場將大幅成長，到2030年將達到27.7億美元，複合年成長率（CAGR）高達30.0%。預測期內的成長要素包括：對快速發現先進材料的需求日益成長、對高性能儲能材料的需求不斷擴大、生成式人工智慧模型的應用日益普及、基於雲端的模擬平台日益廣泛應用，以及縮短研發週期的壓力不斷增加。預測期內的關鍵趨勢包括：多模態人工智慧模型的進步、高通量計算篩檢技術的創新、自主實驗室系統的開發、材料特定基礎模型的研發，以及量子增強材料模擬技術的進步。

未來幾年，人工智慧驅動的運算建模和模擬技術的日益普及預計將推動人工智慧（AI）在材料發現市場的成長。人工智慧驅動的建模和模擬技術利用機器學習和計算演算法來預測材料性能、設計新型化合物並最佳化結構，從而減少對傳統試驗誤實驗的依賴。這種普及的驅動力來自研究機構和產業界日益成長的加速創新和降低研發成本的壓力。人工智慧在材料發現領域的應用支援了這一趨勢，它能夠實現高通量虛擬篩檢、精確的性能預測和新材料的快速識別。例如，2023年9月，美國政府研究機構艾姆斯國家實驗室報告稱，基於人工智慧的建模速度比第一原理計算提高了100倍，並成功識別出16種新的含磷（P）化合物。因此，人工智慧驅動的運算建模和模擬技術的日益普及正在推動材料發現領域人工智慧市場的成長。

在材料發現領域的人工智慧（AI）市場，主要企業正致力於推動大規模晶體結構預測技術的發展，例如利用深度學習尋找新型晶體化合物，以拓展化學空間、加速材料識別並最佳化計算篩檢流程。大規模晶體結構預測採用基於圖的神經網路和演算法搜尋系統，產生並評估數百萬個假想晶體結構，並根據穩定性和性能標準進行排序。例如，2023年11月，總部位於英國的人工智慧公司谷歌旗下的DeepMind發布了GNoME，這是一個基於人工智慧的材料發現系統，預測了220萬個新的晶體結構，並識別出其中約38萬個具有潛在穩定性。該系統採用圖神經網路模擬原子間相互作用，整合主動學習技術以持續改進預測結果，並應用高精度密度泛函理論（DFT）計算來檢驗結構穩定性。這項進展代表了計算材料發現領域的重大進步，它擴展了已知穩定晶體的庫，加速了早期篩檢，並使研究人員能夠識別出各種材料類別中具有有前景的功能特性的候選材料。

目錄

第1章執行摘要

第2章 市場特徵

  • 市場定義和範圍
  • 市場區隔
  • 主要產品和服務概述
  • 全球材料發現領域人工智慧（AI）市場：吸引力評分及分析
  • 成長潛力分析、競爭評估、策略適宜性評估、風險狀況評估

第3章 市場供應鏈分析

  • 供應鏈與生態系概述
  • 清單：主要原料、資源和供應商
  • 主要經銷商和通路合作夥伴名單
  • 主要最終用戶列表

第4章：全球市場趨勢與策略

  • 關鍵科技與未來趨勢
    • 人工智慧（AI）和自主人工智慧
    • 永續性、氣候技術、循環經濟
    • 工業4.0和智慧製造
    • 生物技術、基因組學和精準醫療
    • 數位化、雲端運算、巨量資料、網路安全
  • 主要趨勢
    • 利用人工智慧模型加速虛擬材料篩檢
    • 拓展生成式人工智慧在材料設計上的應用
    • 將人工智慧整合到計算化學工具中
    • 擴展基於雲端的材料模擬平台
    • 加強產學合作

第5章 終端用戶產業市場分析

  • 化工製造商
  • 製藥公司
  • 研究機構
  • 製造公司
  • 其他最終用戶

第6章 市場：宏觀經濟情景，包括利率、通貨膨脹、地緣政治、貿易戰和關稅的影響、關稅戰和貿易保護主義對供應鏈的影響，以及 COVID-19 疫情對市場的影響。

第7章：全球策略分析架構、目前市場規模、市場對比及成長率分析

  • 全球材料發現領域人工智慧（AI）市場：PESTEL 分析（政治、社會、技術、環境、法律因素、促進因素和限制因素）
  • 全球人工智慧（AI）市場規模、比較和成長率分析（材料發現）。
  • 全球人工智慧（AI）在材料發現領域的市場表現：規模與成長，2020-2025年
  • 全球人工智慧（AI）材料發現市場預測：規模與成長，2025-2030年及2035年預測

第8章：全球市場總規模（TAM）

第9章 市場細分

  • 報價
  • 軟體、硬體和服務
  • 依材料類型
  • 聚合物、金屬和合金、陶瓷、複合材料、奈米材料、半導體
  • 透過技術
  • 機器學習、深度學習、生成式人工智慧、自然語言處理
  • 部署模式
  • 本機部署、雲端部署、混合式部署
  • 最終用戶
  • 化工企業、製藥企業、研究機構、製造業企業和其他終端用戶
  • 按類型細分：軟體
  • 預測建模平台、材料模擬工具、資料分析系統、分子設計軟體、材料資訊學平台
  • 按類型細分：硬體
  • 用於運算建模的高效能運算系統、圖形處理單元、專用加速器、資料儲存伺服器和工作站。
  • 按類型細分：服務
  • 諮詢與整合、客製化模型開發、資料管理服務、模擬與測試服務、培訓與支持

第10章 區域與國別分析

  • 全球材料發現領域人工智慧（AI）市場：按地區分類，實際數據和預測數據，2020-2025年、2025-2030年、2035年
  • 全球材料發現領域人工智慧（AI）市場：按國家/地區分類，實際數據和預測數據，2020-2025年、2025-2030年、2035年

第11章 亞太市場

第12章：中國市場

第13章：印度市場

第14章：日本市場

第15章：澳洲市場

第16章：印尼市場

第17章：韓國市場

第18章 台灣市場

第19章 東南亞市場

第20章 西歐市場

第21章英國市場

第22章：德國市場

第23章：法國市場

第24章：義大利市場

第25章：西班牙市場

第26章：東歐市場

第27章：俄羅斯市場

第28章 北美市場

第29章：美國市場

第30章：加拿大市場

第31章：南美市場

第32章：巴西市場

第33章 中東市場

第34章：非洲市場

第35章 市場監理與投資環境

第36章：競爭格局與公司概況

  • 人工智慧（AI）在材料發現領域的市場：競爭格局和市場佔有率（2024年）
  • 材料發現領域人工智慧（AI）市場：公司估值矩陣
  • 材料發現領域的人工智慧（AI）市場：公司概況
    • Google LLC
    • Microsoft Corporation
    • BASF SE
    • International Business Machine Corp
    • Dassault Systemes

第37章 其他大型企業和創新企業

  • 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：全球市場競爭基準分析與儀錶板

第39章：預計進入市場的Start-Ups

第40章 重大併購

第41章 具有高市場潛力的國家、細分市場與策略

  • 2030年人工智慧（AI）在材料發現領域的市場：提供新機會的國家
  • 2030年材料發現領域人工智慧（AI）市場：充滿新機會的細分市場
  • 2030年材料發現領域人工智慧（AI）市場：成長策略
    • 基於市場趨勢的策略
    • 競爭對手的策略

第42章附錄

簡介目錄
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.
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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