C3 AI INC Patent Filing Trends & Competitor Comparison
The Applicant / Patent Holder "C3 AI INC" had 10 patent application filings in the publication-lag-adjusted comparison period (2024-01-01 to 2024-10-31). This is a slightly decreased of +0 filings (0.0%) over 10 they had in the same period of the previous year (2023-01-01 to 2023-10-31).
The highest number of filings in 2024 with 21 cases, and their lowest number in 2021 with 7 cases (years covered: 2021, 2022, 2023, 2024).
The mean of the number of filings over the last 4 years (2021 to 2024, 62 cases in total) is 15.5, and the median is 17.0. The coefficient of variation (standard deviation/mean) is 0.3, and filings have been large fluctuations.
| Index | Value |
|---|---|
| Average | 15.5 patents |
| Std Dev | 5.4 |
| COV | 0.3 |
The number of filings has been decreasing for the publication-lag-adjusted last 3 years (2023 to 2025).
| Year | Cases | YOY |
|---|---|---|
| 2025 year | 9 cases | -57.1% |
| 2024 year | 21 cases | +40.0% |
| 2023 year | 15 cases | -21.05% |
This report provides the latest patent analysis information (the IP landscape, including a patent map) on the patent search results of the US patent database for C3 AI INC for the period of the last 6 years (2020 to 2025). You can compare the information in this report with the trends in your competitors’ patent filings and technologies.
This service provides, free of charge, a patent analysis report based on the latest patent data (Japanese, U.S., European, and PCT application publications) for use in patent searches, patent analysis, and IP landscaping. The service is offered by "Patent Integration" a firm specializing in patent search/patent analysis.
This report includes basic information to help you understand the IP strategy and management of C3 AI INC, such as changes in the number of patents/patent applications they have filed, comparisons of the numbers of patents/patent applications filed by their peers and competitors, and their top coapplicants (joint research partners, alliance partners). It can be used in various intellectual property business operations such as IP landscaping, patent search/patent analysis, preparation of intellectual property business evaluation reports, selection of M&A candidates, and selection of alliance partners.
He is a patent attorney at a patent office. He specializes in invention counseling, patent filing, and intellectual property strategies for start-up companies and new businesses in the fields of software, information technology and artificial intelligence. He runs a patent course for beginners on Udemy, an online course provider.
After studying physics at the University of Tokyo as a doctoral student, he was engaged in intellectual property analysis and technology trend research as an in-house patent attorney at a precision equipment manufacturer and at Toyota Central R&D Labs. Inc..
Introduction
The concept of the "IP landscape" (IPL) has been attracting attention recently.
An IP landscape is not limited to patent information, but also integrates and analyzes business information (e.g., non-patent information such as papers, news releases, stock information, and market information). Intellectual-property-based business management is realized through the analysis of intellectual property information applied to the formulation of management strategies and business strategies. This is a comprehensive approach that includes but not limited to planning of open and closed strategies, selecting M&A candidates, searching for alliance partners, and formulating intellectual property strategies, through the exploitation of intellectual property information.
IP landscaping usually includes patent search and patent analysis. In patent search and patent analysis, it is important to grasp the market position of each company and the overall technological trends and development trends for each technology. More specifically, it is important to understand what intellectual property your own company and other companies hold, what the strengths and weaknesses of other companies are, and how other companies are trying to exploit their intellectual property. In other words, it is important to understand both the business strategy and the intellectual property strategy of each company.
C3 AI INC, Changes in the Number of US Patents/Patent Applications
The changes in the number of patent filings of C3 AI INC over the last 6 years (US) are shown below.
The change in the number of patents/patent applications is the most basic index in patent analysis. By examining the change in the number of patents/patent applications, you can see the status of technological development and R&D focus for each company or technology. It should be noted that since there is a one and a half year lag between the filing and the laying open of patent applications, it is not possible to analyze the situation more recently than one and half years prior to the present.
C3 AI INC US patent filing trend (unit: cases)
| Year | Cases |
|---|---|
| 2021 | 7 |
| 2022 | 19 |
| 2023 | 15 |
| 2024 | 21 |
| 2025 | 9 |
Search Set (Analysis Patents)
This patent analysis report was created for a patent search set of 71 cases retrieved by applying the following search formula and analysis period to the following patent database. Patent information such as a patent analysis result, a patent map, and a patent landscape can be freely used for patent searches, analysis, and work on intellectual property strategies, including IP landscaping.
C3 AI INC
Recent publications
| Publication No. | Title | Bibliographic info | Theme |
|---|---|---|---|
| 1. USA2026/0277684 | ADAPTIVE AGENTIC WORKFLOWS FOR ENTERPRISE ARTIFICIAL INTELLIGENCE | ・Applicant C3 AI INC ・Filing date 2025-08-19 ・Publication date 2026-09-17 | — |
| 2. USA2026/0278459 | SCALABLE AGENTIC FRAMEWORK FOR ENTERPRISE ARTIFICIAL INTELLIGENCE | ・Applicant C3 AI INC ・Filing date 2025-08-19 ・Publication date 2026-09-17 | — |
| 3. USA2026/0171450 | MACHINE LEARNING-BASED DEGRADATION OPTIMIZATION FRAMEWORK | ・Applicant C3 AI INC ・Filing date 2025-12-12 ・Publication date 2026-06-18 | — |
| 4. USA2026/0120121 | ENTERPRISE GENERATIVE AI ASSESSMENT FRAMEWORK | ・Applicant C3 AI INC ・Filing date 2025-10-30 ・Publication date 2026-04-30 | — |
| 5. USA2025/0278903 | ARTIFICIAL INTELLIGENCE VISION SYSTEM | ・Applicant C3 AI INC ・Filing date 2025-03-03 ・Publication date 2025-09-04 | — |
| 6. USA2025/0265546 | SYSTEMS AND METHODS FOR INVENTORY MANAGEMENT AND OPTIMIZATION | ・Applicant C3 AI INC ・Filing date 2025-05-07 ・Publication date 2025-08-21 | — |
| 7. USA2025/0200050 | MODEL-ENABLED DATA PIPELINE GENERATION | ・Applicant C3 AI INC ・Filing date 2024-12-13 ・Publication date 2025-06-19 | — |
| 8. USA2025/0200014 | DYNAMIC ARTIFICIAL INTELLIGENCE-BASED BLUEPRINTING GENERATION AND EXECUTION PLATFORM | ・Applicant C3 AI INC ・Filing date 2024-12-17 ・Publication date 2025-06-19 | — |
| 9. USA2025/0200057 | FOUNDATION MACHINE LEARNING MODELS FOR SENSORY OR OTHER TIME-SERIES DATA | ・Applicant C3 AI INC ・Filing date 2024-12-13 ・Publication date 2025-06-19 | — |
| 10. USA2025/0190475 | GENERATIVE ARTIFICIAL INTELLIGENCE ENTERPRISE SEARCH | ・Applicant C3 AI INC ・Filing date 2025-02-21 ・Publication date 2025-06-12 | — |
| 11. USA2025/0148487 | METHODS, PROCESSES, AND SYSTEMS TO DEPLOY ARTIFICIAL INTELLIGENCE (AI)-BASED CUSTOMER RELATIONSHIP MANAGEMENT (CRM) SYSTEM USING MODEL-DRIVEN SOFTWARE ARCHITECTURE | ・Applicant C3 AI INC ・Filing date 2025-01-09 ・Publication date 2025-05-08 | — |
| 12. USA2025/0150352 | SYSTEMS AND METHODS FOR FULL HISTORY DYNAMIC NETWORK ANALYSIS | ・Applicant C3 AI INC ・Filing date 2025-01-09 ・Publication date 2025-05-08 | — |
| 13. USA2025/0141914 | SYSTEMS AND METHODS FOR PROVIDING CYBERSECURITY ANALYSIS BASED ON OPERATIONAL TECHNIQUES AND INFORMATION TECHNOLOGIES | ・Applicant C3 AI INC ・Filing date 2024-12-31 ・Publication date 2025-05-01 | — |
| 14. USP12705273 | AGENTIC ARTIFICIAL INTELLIGENCE WITH DOMAIN-SPECIFIC CONTEXT VALIDATION, Agentic artificial intelligence with domain-specific context validation | ・Applicant C3 AI INC ・Filing date 2024-12-20 ・Publication date 2025-04-24 | — |
| 15. USA2025/0124069 | AGENTIC ARTIFICIAL INTELLIGENCE FOR A SYSTEM OF AGENTS | ・Applicant C3 AI INC ・Filing date 2024-12-20 ・Publication date 2025-04-17 | — |
Same industry / competition company information (US)
The number of patents and changes in the number of patents of other companies (competitors) in the same industry as C3 AI INC are shown below.
Comparison of changes in the number of patents with peers and competitors is an important analytical index for understanding the intellectual property strategies of each company. By checking the transition of the number of patents for each company / competitor, you can check the status of focus on technology development and R&D for each company / technology.
It should be noted that patents have a time lag of one and a half years from filing to publication, so it is not possible to analyze the situation more recent than one and a half years.
Trends in filing of joint patent applications in the last 3 years (2023 to 2025).
Comparing the number of applications of each company, C3 AI INC has the highest number of joint applications in the last in the last 3 years (2023 to 2025) with 45 cases.
| Name | Cases |
|---|---|
| C3 AI INC | 45 cases |
Trends in filing of joint patent applications for the target period (2020 to 2025).
Comparing the number of applications of each company, C3 AI INC has the highest number of joint applications in the last for the target period (2020 to 2025) with 73 cases.
| Name | Cases |
|---|---|
| C3 AI INC | 73 cases |
Same industry / competition company US patent filing ranking
佐藤総合特許事務所 代表弁理士
佐藤 寿のコメント
競合企業の長期推移をどう読むか
同業や競合企業の長期的な特許出願件数の推移から、長期トレンドと出願件数の山や谷を確認することができます。
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Same industry / competition company, Change in the Number of US Patents
Below is a patent map showing changes in the number of applications for US patents of 1 companies in the same industry over the past 6 years.
Competitor filing ranking
| Name | Cases |
|---|---|
| C3 AI INC | 73 |
No co-applicant filings meeting the analysis threshold were identified for this period.
Providing patent information to the media (newspapers, magazines, etc.)
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佐藤総合特許事務所 代表弁理士
佐藤 寿のコメント
競合企業との比較のポイント
同業や競合企業が特許に注力している分野を知ることで、自社の戦略や製品開発の方向性を把握することができます。
解説の続きを読む