跳过链接
登入
安排演示
AI in Catalyst Development Patent Landscape Report

AI in Catalyst Development Patent Landscape Report

3999 $

或者

Researchandmarkets.com 继续
类别：

目录

主要发现
执行摘要
1. 简介
2. 专利态势概览
2.1. 专利家族分析
2.2. 专利市场覆盖率
2.3. 地理管辖范围
2.4. Global AI in Catalyst Development Patent Activity by Application

3.市场和竞争对手分析
3.1. 市场概况
3.2. 主要生产商市场份额
3.3. Some of The Main Processes in AI In Catalyst Development
3.4. 热门申请人
3.5. Top AI in Catalyst Development Applicants by Application
3.6. Market Coverage of Top Applicants
3.7. Top Owners
3.8. Highly-Cited Applicants
3.10. 合作
3.10.1. 前十名申请人的合作
3.10.2. 最强的合作网络
3.11. 热门申请人活动
3.12. 过去5年的先锋企业
3.13. 顶尖申请人聚类
3.14. 正在申请的专利

4. 技术分析
4.1. 顶尖技术
4.1.1. AI in Catalyst Development Patent Trends Across Industries (Application)
4.1.2. Top Technologies by Class
4.1.2. 各子类的顶级技术
4.1.3. 各主要群组的主要技术
4.1.4. 各子类别的顶级技术
4.1.5. 顶尖技术和主要趋势
4.2. 近期五大主导技术
4.3. 关键专利
4.4. 专利的主要主题
4.5. 技术集群
4.6. 顶尖发明家

5. 主要参与者的专利概况
5.1. Chevron Phillips Chemical Company LP
 5.1.1. Chevron Phillips Chemical Company LP Overview
 5.1.2. Patent family analysis
 5.1.3. Top Technologies
 5.1.4. Collaboration
 5.1.5. Merge and Acquisitions
 5.1.6. Topic modeling
 5.1.7. Patents clustering

5.2. BASF Corporation
 5.2.1. BASF Corporation Overview
 5.2.2. Patent family analysis
 5.2.3. Top Technologies
 5.2.4. Collaboration
 5.2.5. Merge and Acquisitions
 5.2.6. Key patents
 5.2.7. Topic modeling
 5.2.8. Patents clustering

5.3. Imubit Israel Ltd.
 5.3.1. Imubit Israel Ltd. Overview
 5.3.2. Patent family analysis
 5.3.3. Top Technologies
 5.3.4. Merge and Acquisitions
 5.3.5. Key patents
 5.3.6. Topic modeling

5.4. HTE GmbH – The High Throughput Experimentation Company
 5.4.1. HTE GmbH – The High Throughput Experimentation Overview
 5.4.2. Patent family analysis
 5.4.3. Top Technologies
 5.4.4. Collaboration
 5.4.5. Merge and Acquisitions
 5.4.6. Key patents
 5.4.7. Topic modeling

5.5. CYMBALUK TED H
 5.5.1. CYMBALUK TED H Overview
 5.5.2. Patent family analysis
 5.5.3. Collaboration
 5.5.4. Key patents

5.6. California Institute of Technology (Caltech)
 5.6.1. Caltech Overview
 5.6.2. Patent family analysis
 5.6.3. Top Technologies
 5.6.4. Collaboration
 5.6.5. Topic modeling

5.7. Marathon Petroleum Company LP
 5.7.1. Marathon Petroleum Company LP Overview
 5.7.2. Patent family analysis
 5.7.3. Top Technologies
 5.7.4. Merge and Acquisitions
 5.7.5. Key patents
 5.7.6. Topic modeling

5.8. MCDANIEL MAX P
 5.8.1. MCDANIEL MAX P Overview
 5.8.2. Patent family analysis
 5.8.3. Collaboration
 5.8.4. Key patents

5.9. BENHAM ELIZABETH A
 5.9.1. BENHAM ELIZABETH A Overview
 5.9.2. Patent family analysis
 5.9.3. Collaboration
 5.9.4. Key patents

5.10. University of Berlin Technical
 5.10.1. University of Berlin Technical Overview
 5.10.2. Patent family analysis
 5.10.3. Collaboration

5.11. Honeywell International Inc
 5.11.1. Honeywell International Inc Overview
 5.11.2. Patent family analysis
 5.11.3. Top Technologies
 5.11.4. Merge and Acquisitions
 5.11.5. Key patents
 5.11.6. Topic modeling

5.12. PetroChina Company Limited
 5.12.1. PetroChina Company Limited Overview
 5.12.2. Patent family analysis
 5.12.3. Top Technologies
 5.12.4. Collaboration
 5.12.5. Merge and Acquisitions
 5.12.6. Key patents
 5.12.7. Topic modeling

5.13. Hyundai Motor Company
 5.13.1. Hyundai Motor Company Overview
 5.13.2. Patent family analysis
 5.13.3. Collaboration
 5.13.4. Merge and Acquisitions

5.14. SABIC SK Nexlene Company Pte. Ltd.
 5.14.1. SABIC SK Nexlene Company Overview
 5.14.2. Patent family analysis
 5.14.3. Top Technologies
 5.14.4. Merge and Acquisitions
 5.14.5. Topic modeling

5.15. ExxonMobil Research & Engineering Co
 5.15.1. ExxonMobil Research & Engineering Co Overview
 5.15.2. Patent family analysis
 5.15.3. Top Technologies
 5.15.4. Merge and Acquisitions
 5.15.5. Topic modeling

5.16. Sinopec Beijing Chemical Research Institute Co Ltd
 5.16.1. Sinopec Beijing Chemical Research Institute Co Ltd Overview
 5.16.2. Patent family analysis
 5.16.3. Collaboration

免责声明

样本

AI in catalyst sample

描述

The AI in Catalyst Development Report provides a comprehensive patent landscape analysis, encompassing 133 patents filed between 2010 and 2024 across key jurisdictions. This dataset, sourced from international filings and supported by market adoption trends and AI-driven innovation data, forms the foundation for evaluating the industry’s shift toward intelligent catalyst discovery and optimization. By combining quantitative and qualitative insights, the report identifies core technological advancements and market dynamics that are shaping the evolution of catalyst development through artificial intelligence.

The report is divided into key sections offering unique insights into various aspects of the field. These sections include the Landscape Overview, Market Analysis, Technology Analysis, and Key Players. Each section is designed to assist stakeholders in making informed decisions on research, investment, and strategic planning within the AI-enabled catalyst domain.

景观概况
This section provides a detailed view of patent activity trends in AI for catalyst development, highlighting consistent growth since 2015 and accelerating adoption in recent years. It reveals China, the United States, and Europe as leading jurisdictions for innovation, reflecting global investment in computational chemistry, high-throughput experimentation, and digital laboratory platforms.

市场分析科
The market analysis focuses on the application of AI in catalyst R&D across industries such as petrochemicals, renewable energy, automotive, and specialty chemicals. By aligning patent activity with commercialization trends, this section uncovers the regions and sectors where AI-driven catalyst innovation is gaining the most traction and identifies opportunities for accelerated deployment.

技术分析科
In this section, the report explores key technological domains such as AI-assisted molecular design, predictive modeling, high-throughput screening, and process optimization. Leading innovations like deep learning for reaction pathway prediction 和 reinforcement learning for catalyst performance optimization are identified as transformative forces driving faster discovery cycles and more efficient development pipelines.

顶级玩家部分
The top player section examines the strategic contributions of organizations such as BASF SE, ExxonMobil, Johnson Matthey, Sinopec, and the Chinese Academy of Sciences. It highlights their patent holdings, technological focus, and collaborative initiatives to accelerate AI-driven catalyst innovation. For example, BASF’s integration of AI platforms in catalyst screening and Sinopec’s machine learning-driven materials design programs are showcased as industry benchmarks.

全面的
This report provides a holistic perspective on the state and trajectory of AI in catalyst development. By integrating data on patents, technologies, and market trends, it serves as an essential resource for stakeholders aiming to leverage AI-powered advancements in materials science and industrial catalysis.

您将获得什么

120+ 页 PDF 报告：有关专利和市场趋势的详细见解。

40+ 页 PDF 幻灯片：演示文稿的简洁概述。

Excel 文件：全面的数据，可供深入分析。

可能对报告感兴趣的人

Corporate Executives: Strategy, operations, and technology leaders in chemicals, energy, and manufacturing.

R&D Professionals: Innovators applying AI in catalyst and materials science.

Investment Analysts: Evaluators of emerging opportunities in AI-driven industrial innovation.

政策制定者：可持续和技术先进的制造实践的倡导者。

Academics and Consultants: Researchers and advisors exploring AI applications in chemistry and industrial processes.

评论

尚未有任何评论。

率先评论“AI in Catalyst Development Patent Landscape Report”

您的邮箱地址不会被公开。 必填项已用 * 标注

相关产品

🍪 本网站使用 cookie 来改善您的网络体验。