市场调查报告书
商品编码
1497612
化学和材料资讯学领域的人工智慧市场:按产品、技术、部署、应用和最终用途划分 - 2024-2030 年全球预测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 |
※ 本网页内容可能与最新版本有所差异。详细情况请与我们联繫。
化学和材料资讯学领域的人工智慧市场规模预计2023年为86.9亿美元,2024年达到120.8亿美元,预计2030年将达到892.9亿美元,复合年增长率为39.46%。
化学和材料资讯学背景下的人工智慧(AI)是指应用机器学习和预测建模来解决化学和材料科学产业中的复杂问题。这一趋势将融合人工智慧下新颖而强大的计算方法来研究、理解和预测化学品和材料的特性。该市场的主要成长催化剂包括技术发展以及对业务效率日益增长的需求。来自化学和材料行业的大量资料有助于高效的资料管理并支持市场成长。然而,高昂的投资成本、缺乏熟练的专业人员、对人工智慧可靠性的怀疑以及对资料安全和隐私的担忧是阻碍市场成长的明显挑战。其他市场机会包括在研究和製造中快速增加机器人和自主系统的使用,为人工智慧整合开闢了进一步的可能性。云端基础的解决方案的接受度也为化学品和材料领域的人工智慧服务提供者和软体公司开闢了新的视野。
主要市场统计 | |
---|---|
基准年[2023] | 86.9亿美元 |
预测年份 [2024] | 120.8亿美元 |
预测年份 [2030] | 892.9亿美元 |
复合年增长率(%) | 39.46% |
区域洞察
由于该地区的技术进步和充满活力的创新生态系统,美洲化学和材料资讯学领域的人工智慧市场正在经历显着的趋势,其中美国对人工智慧技术的采用做出了重大贡献,并在研发方面进行了大量投资。此外,已经开始关注产业多元化的地区正在推动人工智慧在化学和材料行业的应用。 EMEA(欧洲、中东和非洲)地区人工智慧在化学和材料资讯学市场的应用呈现强劲成长。法国、德国和英国等欧洲主要国家处于推动化学产业数位转型的前沿。中东正在利用人工智慧的潜力,特别是在石油和天然气领域,而非洲市场虽然新兴,但随着数位素养的提高和基础设施的发展,显示出有希望的迹象。新兴的科技场景和人工智慧投资的增加正在推动亚太地区的显着成长。随着新兴国家在包括化学工业在内的所有工业领域采用人工智慧,以及数位经济的蓬勃发展,亚太地区有望大幅扩展人工智慧在化学和材料资讯学领域的应用。
FPNV定位矩阵
FPNV 定位矩阵对于评估化学品和材料资讯学市场人工智慧供应商的市场定位至关重要。此矩阵提供了对供应商的全面评估,并检查了与业务策略和产品满意度相关的关键指标。这种详细的评估使用户能够根据自己的要求做出明智的决定。根据评估结果,供应商被分为代表其成功程度的四个像限:前沿(F)、探路者(P)、利基(N)和重要(V)。
市场占有率分析
市场占有率分析是一个综合工具,可以对化学品和材料资讯学市场中人工智慧供应商的现状进行深入而详细的评估。透过仔细比较和分析供应商的贡献,您可以更深入地了解每个供应商的绩效以及他们在争夺市场占有率时面临的挑战。这些贡献包括整体收益、客户群和其他关键指标。此外,该分析还提供了对该行业竞争性质的宝贵见解,包括在研究基准年期间观察到的累积、分散主导地位和合併特征等因素。有了这些详细信息,供应商可以做出更明智的决策并製定有效的策略,以在市场竞争中保持领先地位。
策略分析与建议
策略分析对于寻求在全球市场站稳脚跟的组织至关重要。对目前在化学品和材料资讯学市场人工智慧中的地位进行全面评估,使公司能够做出符合其长期愿望的明智决策。此关键评估涉及对组织的资源、能力和整体绩效进行彻底分析,以确定核心优势和需要改进的领域。
[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 | |
---|---|
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
TA