市场调查报告书
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1413823
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 |
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化学和材料资讯学领域的人工智慧市场规模预计到2023年为86.9亿美元,2024年达到120.8亿美元,预计到2030年将达到892.9亿美元,复合年增长率为39.46%。
化学和材料资讯学领域人工智慧的全球市场
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% |
化学和材料资讯学背景下的人工智慧(AI)涉及机器学习和预测建模的应用,以解决化学和材料科学行业中的复杂问题。这一趋势融合了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和材料领域的人工智慧服务供应商和软体公司开闢了新的视野。
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,开始注重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。蓬勃发展的科技场景和人工智慧投资的增加正在推动亚太地区的强劲成长。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和材料资讯学市场的AI至关重要。我们检视与业务策略和产品满意度相关的关键指标,以对供应商进行全面评估。这种深入的分析使用户能够根据自己的要求做出明智的决策。根据评估,供应商被分为四个成功程度不同的像限: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深入的研究。全面比较和分析供应商在整体收益、基本客群和其他关键指标方面的贡献,以便更好地了解公司的绩效及其在争夺市场占有率时面临的挑战。此外,该分析还提供了对该行业竞争特征的宝贵考察,包括在研究基准年观察到的累积、分散主导地位和合併特征等因素。这种详细程度的提高使供应商能够做出更明智的决策并制定有效的策略,从而在市场上获得竞争优势。
1-市场渗透率:提供有关主要企业所服务的市场的全面资讯。
2-市场开拓:我们深入研究利润丰厚的新兴市场,并分析它们在成熟细分市场中的渗透率。
3- 市场多元化:提供有关新产品发布、开拓地区、最新发展和投资的详细资讯。
4-竞争力评估与资讯:对主要企业的市场占有率、策略、产品、认证、监管状况、专利状况、製造能力等进行全面评估。
5- 产品开发与创新:提供对未来技术、研发活动和突破性产品开发的见解。
1-化学和材料资讯学领域AI市场的市场规模和预测是多少?
2-在化学品和材料资讯学市场的人工智慧预测期内,有哪些产品、细分市场、应用程式和领域需要考虑投资?
3-化学和材料资讯学领域AI市场的技术趋势和法律规范是什么?
4-化学和材料资讯学市场AI主要厂商的市场占有率是多少?
5-进入化学和材料资讯学领域的AI市场合适的型态和策略手段是什么?
[186 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.
Global AI in Chemical & Material Informatics Market
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% |
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.
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.
FPNV Positioning Matrix
The FPNV Positioning Matrix is pivotal in evaluating the AI in Chemical & Material Informatics Market. It offers a comprehensive assessment of vendors, examining key metrics related to Business Strategy and Product Satisfaction. This in-depth analysis 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: 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 examination of the current state of vendors in the AI in Chemical & Material Informatics Market. By meticulously comparing and analyzing vendor contributions in terms of overall revenue, customer base, and other key metrics, we can offer companies a greater understanding of their performance and the challenges they face when competing for market share. 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 this expanded level of detail, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.
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
1. Market Penetration: It presents comprehensive information on the market provided by key players.
2. Market Development: It delves deep into lucrative emerging markets and analyzes the penetration across mature market segments.
3. Market Diversification: It provides detailed information on new product launches, untapped geographic regions, recent developments, and investments.
4. Competitive Assessment & Intelligence: It conducts an exhaustive assessment of market shares, strategies, products, certifications, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players.
5. Product Development & Innovation: It offers intelligent insights on future technologies, R&D activities, and breakthrough product developments.
1. What is the market size and forecast of the AI in Chemical & Material Informatics Market?
2. Which products, segments, applications, and areas should one consider investing in over the forecast period in the AI in Chemical & Material Informatics Market?
3. What are the technology trends and regulatory frameworks in the AI in Chemical & Material Informatics Market?
4. What is the market share of the leading vendors in the AI in Chemical & Material Informatics Market?
5. Which modes and strategic moves are suitable for entering the AI in Chemical & Material Informatics Market?