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市場調查報告書
商品編碼
1497612
化學和材料資訊學領域的人工智慧市場:按產品、技術、部署、應用和最終用途分類 - 2024-2030 年全球預測AI in Chemical & Material Informatics Market by Offering (Services, Software), Technology (Computer Vision, Machine Learning, Predictive Analytics), Deployment, Application, End-Use - Global Forecast 2024-2030 |
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化學和材料資訊學領域的人工智慧市場規模預計2023年為86.9億美元,2024年達到120.8億美元,預計2030年將達到892.9億美元,複合年成長率為39.46%。
化學和材料資訊學背景下的人工智慧(AI)是指應用機器學習和預測建模來解決化學和材料科學產業中的複雜問題。這一趨勢將融合人工智慧下新穎而強大的計算方法來研究、理解和預測化學品和材料的特性。該市場的主要成長催化劑包括技術發展以及對業務效率日益成長的需求。來自化學和材料行業的大量資料有助於高效的資料管理並支持市場成長。然而,高昂的投資成本、缺乏熟練的專業人員、對人工智慧可靠性的懷疑以及對資料安全和隱私的擔憂是阻礙市場成長的明顯挑戰。其他市場機會包括在研究和製造中快速增加機器人和自主系統的使用,為人工智慧整合開闢了進一步的可能性。雲端基礎的解決方案的接受度也為化學品和材料領域的人工智慧服務提供者和軟體公司開闢了新的視野。
主要市場統計 | |
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基準年[2023] | 86.9億美元 |
預測年份 [2024] | 120.8億美元 |
預測年份 [2030] | 892.9億美元 |
複合年成長率(%) | 39.46% |
區域洞察
由於該地區的技術進步和充滿活力的創新生態系統,美洲化學和材料資訊學領域的人工智慧市場正在經歷顯著的趨勢,其中美國對人工智慧技術的採用做出了重大貢獻,並在研發方面進行了大量投資。此外,已經開始關注產業多元化的地區正在推動人工智慧在化學和材料行業的應用。 EMEA(歐洲、中東和非洲)地區人工智慧在化學和材料資訊學市場的應用呈現強勁成長。法國、德國和英國等歐洲主要國家處於推動化學產業數位轉型的前沿。中東正在利用人工智慧的潛力,特別是在石油和天然氣領域,而非洲市場雖然新興,但隨著數位素養的提高和基礎設施的發展,顯示出有希望的跡象。新興的科技場景和人工智慧投資的增加正在推動亞太地區的顯著成長。隨著新興國家在包括化學工業在內的所有工業領域採用人工智慧,以及數位經濟的蓬勃發展,亞太地區有望大幅擴展人工智慧在化學和材料資訊學領域的應用。
FPNV定位矩陣
FPNV 定位矩陣對於評估化學品和材料資訊學市場人工智慧供應商的市場定位至關重要。此矩陣提供了對供應商的全面評估,並檢查了與業務策略和產品滿意度相關的關鍵指標。這種詳細的評估使用戶能夠根據自己的要求做出明智的決定。根據評估結果,供應商被分為代表其成功程度的四個像限:前沿(F)、探路者(P)、利基(N)和重要(V)。
市場佔有率分析
市場佔有率分析是一個綜合工具,可以對化學品和材料資訊學市場中人工智慧供應商的現狀進行深入而詳細的評估。透過仔細比較和分析供應商的貢獻,您可以更深入地了解每個供應商的績效以及他們在爭奪市場佔有率時面臨的挑戰。這些貢獻包括整體收益、客戶群和其他關鍵指標。此外,該分析還提供了對該行業競爭性質的寶貴見解,包括在研究基準年期間觀察到的累積、分散主導地位和合併特徵等因素。有了這些詳細資訊,供應商可以做出更明智的決策並製定有效的策略,以在市場競爭中保持領先地位。
策略分析與建議
策略分析對於尋求在全球市場站穩腳跟的組織至關重要。對目前在化學品和材料資訊學市場人工智慧中的地位進行全面評估,使公司能夠做出符合其長期願望的明智決策。此關鍵評估涉及對組織的資源、能力和整體績效進行徹底分析,以確定核心優勢和需要改進的領域。
[197 Pages Report] The AI in Chemical & Material Informatics Market size was estimated at USD 8.69 billion in 2023 and expected to reach USD 12.08 billion in 2024, at a CAGR 39.46% to reach USD 89.29 billion by 2030.
Artificial intelligence (AI) within the context of chemical and materials informatics pertains to the application of machine learning and predictive modeling to solve complex problems in the chemical and materials science industries. This stream converges the novel and powerful computational methodologies under AI to study, understand, and predict the properties of chemicals and materials. Main growth catalysts in this market encompass technological developments along with a heightened need for operational efficiency. The troves of data from the chemical and material industry instigates efficient data management practices, bolstering the market's growth. However, the high investment costs, a dearth of skilled professionals, AI reliability skepticism, alongside data security and privacy concerns are distinct challenges that impede market growth. Additional market opportunities include the burgeoning use of robotics and autonomous systems in research and manufacturing, opening doors for further AI integration. The acceptance of cloud-based solutions also fosters new prospects for AI service providers and software companies in the chemical and material sector.
KEY MARKET STATISTICS | |
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Base Year [2023] | USD 8.69 billion |
Estimated Year [2024] | USD 12.08 billion |
Forecast Year [2030] | USD 89.29 billion |
CAGR (%) | 39.46% |
Regional Insights
The Americas AI in chemical & material informatics market shows a remarkable trend owing to the region's technological advancements and dynamic innovation ecosystem, where the United States majorly contributing to adopting AI technologies and investing heavily in R&D. Additionally, regions's growing focus on industrial diversification is pushing for AI utilization across its chemical and materials industry. The EMEA region presents robust growth in the application of AI in chemical and material informatics market. Major European countries such as France, Germany, and the UK are spearheading the digital transformation drive in the chemical industry. The Middle East is leveraging AI potential, particularly in the oil and gas sector, while Africa's market, though nascent, is showing promising signs owing to growing digital literacy and infrastructure development. In the APAC region, a burgeoning tech scene and increased investments in AI are driving considerable growth. With emerging economies employing AI in every industrial sector, including the chemical industry, and booming digital economies, the APAC region is poised to significantly expand AI applications within Chemical and Material Informatics.
Market Insights
The market dynamics represent an ever-changing landscape of the AI in Chemical & Material Informatics Market by providing actionable insights into factors, including supply and demand levels. Accounting for these factors helps design strategies, make investments, and formulate developments to capitalize on future opportunities. In addition, these factors assist in avoiding potential pitfalls related to political, geographical, technical, social, and economic conditions, highlighting consumer behaviors and influencing manufacturing costs and purchasing decisions.
FPNV Positioning Matrix
The FPNV positioning matrix is essential in evaluating the market positioning of the vendors in the AI in Chemical & Material Informatics Market. This matrix offers a comprehensive assessment of vendors, examining critical metrics related to business strategy and product satisfaction. This in-depth assessment empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success, namely Forefront (F), Pathfinder (P), Niche (N), or Vital (V).
Market Share Analysis
The market share analysis is a comprehensive tool that provides an insightful and in-depth assessment of the current state of vendors in the AI in Chemical & Material Informatics Market. By meticulously comparing and analyzing vendor contributions, companies are offered a greater understanding of their performance and the challenges they face when competing for market share. These contributions include overall revenue, customer base, and other vital metrics. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With these illustrative details, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.
Recent Developments
NobleAI Launches AI Tools on Microsoft Azure Marketplace to RevolutionizdeChemical and Material Development
NobleAI, a Science-Based AI solutions for Chemical and Material Informatics, now offers its products on the Microsoft Azure Marketplace. These products include NobleReactor, NobleBattery, and NobleChemistry, making it the first of its kind on the marketplace. By utilizing these software solutions, companies can optimize their product development process, reduce costs, and accelerate innovation through advanced AI and machine learning capabilities. This collaboration further strengthens NobleAI's partnership with Microsoft, enabling them to support more businesses on their AI journeys. [Published On: 2023-09-07]
TDK Corporation Introduces 'Aim' a New AI Data Analysis Platform to Enhance Materials Informatics
TDK Corporation has announced the launch of their in-house AI data analysis platform called "Aim." The platform is part of the company's ongoing efforts to advance materials informatics. Aim has been designed with the objective of making data analysis technology developed by individual departments more accessible to everyone within the organization. This accessibility aims to facilitate the compilation of high-quality data, which is essential for effectively harnessing AI and big data technologies. [Published On: 2023-05-23]
Toray Industries Introduces AI-Powered Service to Enhance Resin Selection and Speed Up Product Development
Toray Industries, Inc. has announced the launch of a digital service that utilizes artificial intelligence to predict physical property data for resin products. By leveraging materials informatics technology, which incorporates statistical analysis and AI, customers are able to optimize resin material selections and reduce development lead times more efficiently. Toray has enhanced its forecasting model by employing AI to project optimal formulations based on empirical data. [Published On: 2022-09-26]
Strategy Analysis & Recommendation
The strategic analysis is essential for organizations seeking a solid foothold in the global marketplace. Companies are better positioned to make informed decisions that align with their long-term aspirations by thoroughly evaluating their current standing in the AI in Chemical & Material Informatics Market. This critical assessment involves a thorough analysis of the organization's resources, capabilities, and overall performance to identify its core strengths and areas for improvement.
Key Company Profiles
The report delves into recent significant developments in the AI in Chemical & Material Informatics Market, highlighting leading vendors and their innovative profiles. These include AI Materia, Ansatz AI, Bytelab Solutions SL. All, Chemical.AI, Citrine Informatics, Dassault Systemes SE, ENEOS Corporation, Enthought, Inc., Fujitsu Limited, Hitachi High-Tech Corporation, International Business Machines Corporation, Kebotix, Inc., Mat3ra, Materials.Zone Ltd., Mitsubishi Chemical Holdings Corporation, Noble Artificial Intelligence, Inc., PerkinElmer Inc, Phaseshift Technologies Inc., Polymerize Private Limited, Schrodinger, Inc., Sumitomo Chemical Co., Ltd., TDK Corporation, Tilde Materials Informatics, Toray Industries, Inc., and Uncountable Inc.
Market Segmentation & Coverage
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