The Applicant / Patent Holder "国立大学法人東海国立大学機構" had 61 patent application filings in the most recent period (2023-01-01 to 2023-04-30). This is a significantly decreased of -23 filings (-27.4%) over 84 they had in the same period of the previous year (2022-01-01 to 2022-04-30).
The highest number of filings in 2019 with 251 cases, and their lowest number in 2023 with 95 cases.
The mean of the number of filings over the last 5 years (2019 to 2024, 994 cases in total) is 166, and the median is 208. The coefficient of variation (standard deviation/mean) is 0.5, and there have been big fluctuations in the number of filings from year to year.
Index | Value |
---|---|
Average | 166 patents |
Std Dev | 87.9 |
COV | 0.5 |
Year | Cases | YOY |
---|---|---|
2023 year | 95 cases | -53.2 % |
2022 year | 203 cases | -4.69 % |
2021 year | 213 cases | -6.99 % |
This report provides the latest patent analysis information (the IP landscape, including a patent map) on the patent search results of the JP patent database for 国立大学法人東海国立大学機構 for the period of the last 10 years (2015-01-01 to 2024-12-31). You can compare the information in this report with the trends in your competitors’ patent filings and technologies, and use it to search for important patents.
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 国立大学法人東海国立大学機構, 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, their top coapplicants (joint research partners, alliance partners), and their most important patents. 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..
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.
After reading this search report, you may be interested in more detailed patent searches and patent analysis. We offer a service called Patent Integration, which is an integrated patent search and patent analysis service. With reasonable pricing and a simple user interface such that even beginners can quickly search for and analyze patent information by company or technology from a web browser, please consider using it for detailed patent searches, patent analysis, and IP landscaping.
Patent Integration has a patent-landscaping function that can visually represent a set of tens of thousands of patents/patent applications. This allows you to convincingly show the technical positions of your company and its competitors to your management and business strategists in order to formulate management strategies and business strategies.
The changes in the number of patent filings of 国立大学法人東海国立大学機構 over the last 20 years (JP) 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.
In this report, you can only see the change in the number of patents/patent applications by company or technology, whereas Patent Integration allows you to quickly compare the number of patent applications with your competitors in each technical field by cross-referencing with other keywords and patent classifications.
Patent landscaping is a visualization of the distribution of patent filings (application focus areas) for each technical keyword. Mountains and islands indicated by heatmap contours represent clusters of patent applications filed, and red areas on the heatmap indicate many patent filings relating to the keyword.
The patent landscape for 国立大学法人東海国立大学機構 gives an intuitive understanding of what patent filings they have made and what technical position is to be established. By selecting filing year checkboxes and filtering, you can track their past filing trends (what technical area they have focused on).
By selecting applicant/patent holder checkboxes and filtering, you can visually grasp the technical areas of the filings for each applicant and the partnerships or alliances formed. Please use it as a guide for patent analysis and IP landscaping.
In addition, by visually representing the patent data in this manner, you can convincingly show the technical positions of your company and its competitors to your management and business strategists in order to formulate management strategies and business strategies.
In Patent Integration, you can check the specifics of a patent filing by clicking anywhere on the patent landscape screen. You can also quickly check the position of each applicant for each technical field by cross-referencing with other keywords and patent classifications. You can use it as a guide when considering hypotheses about each company's IP strategy on the IP Landscape. You can also use it for higher-grade intellectual property activities. It has reasonable pricing and a simple user interface that is easy for beginners to handle.
The following is a list of words (characteristic terms) often used in 国立大学法人東海国立大学機構 patent applications. Characteristic terms with a higher importance are used in more patents/patent applications.
This patent analysis report was created for a patent search set of 1,868 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.
The number of patents and changes in the number of patents of other companies (competitors) in the same industry as 国立大学法人東海国立大学機構 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.
If you want to find out more information, " Patent Integration , You can compare the number of patent applications with competitors in each technical field in a short time by multiplying with other keywords and patent classifications.Please use it for more detailed patent information analysis such as selection of M&A candidate destinations and alliance destinations.
Comparing the number of applications of each company, 国立大学法人東京大学 has the highest number of joint applications in the last in the last 3 years (2023 to 2025) with 195 cases, followed by 国立大学法人大阪大学 with 146 cases.
Name | Cases |
---|---|
国立大学法人東京大学 | 195 cases |
国立大学法人大阪大学 | 146 cases |
国立大学法人東北大学 | 126 cases |
国立大学法人京都大学 | 114 cases |
国立大学法人東海国立大学機構 | 98 cases |
国立大学法人九州大学 | 80 cases |
日本電信電話株式会社 | 72 cases |
国立大学法人北海道大学 | 64 cases |
国立大学法人信州大学 | 58 cases |
国立大学法人筑波大学 | 57 cases |
国立大学法人広島大学 | 52 cases |
学校法人東京理科大学 | 51 cases |
国立大学法人神戸大学 | 51 cases |
学校法人早稲田大学 | 46 cases |
国立大学法人名古屋工業大学 | 42 cases |
国立大学法人千葉大学 | 42 cases |
国立大学法人金沢大学 | 37 cases |
国立大学法人電気通信大学 | 31 cases |
国立大学法人横浜国立大学 | 28 cases |
学校法人近畿大学 | 28 cases |
学校法人日本大学 | 27 cases |
学校法人関西大学 | 27 cases |
国立大学法人東京農工大学 | 25 cases |
国立大学法人静岡大学 | 24 cases |
国立大学法人徳島大学 | 21 cases |
国立大学法人山形大学 | 21 cases |
国立大学法人山口大学 | 19 cases |
国立大学法人鹿児島大学 | 19 cases |
国立大学法人新潟大学 | 18 cases |
トヨタ自動車株式会社 | 17 cases |
国立研究開発法人産業技術総合研究所 | 17 cases |
国立大学法人豊橋技術科学大学 | 16 cases |
国立大学法人山梨大学 | 16 cases |
国立大学法人鳥取大学 | 16 cases |
国立大学法人岡山大学 | 14 cases |
国立大学法人埼玉大学 | 14 cases |
国立大学法人熊本大学 | 13 cases |
国立大学法人長岡技術科学大学 | 13 cases |
国立大学法人三重大学 | 12 cases |
国立大学法人九州工業大学 | 10 cases |
国立大学法人群馬大学 | 9 cases |
Comparing the number of applications of each company, 国立大学法人東京大学 has the highest number of joint applications in the last for the target period (2015 to 2025) with 3,053 cases, followed by 国立大学法人大阪大学 with 2,422 cases.
Name | Cases |
---|---|
国立大学法人東京大学 | 3,053 cases |
国立大学法人大阪大学 | 2,422 cases |
国立大学法人東北大学 | 2,390 cases |
国立大学法人京都大学 | 1,924 cases |
国立大学法人東海国立大学機構 | 1,868 cases |
国立大学法人九州大学 | 1,346 cases |
国立大学法人北海道大学 | 1,093 cases |
国立大学法人信州大学 | 889 cases |
日本電信電話株式会社 | 823 cases |
国立大学法人広島大学 | 810 cases |
国立大学法人筑波大学 | 716 cases |
国立大学法人千葉大学 | 673 cases |
学校法人早稲田大学 | 657 cases |
学校法人東京理科大学 | 629 cases |
国立大学法人神戸大学 | 606 cases |
国立大学法人名古屋工業大学 | 577 cases |
国立大学法人金沢大学 | 498 cases |
国立大学法人東京農工大学 | 496 cases |
国立大学法人横浜国立大学 | 489 cases |
学校法人関西大学 | 488 cases |
国立大学法人電気通信大学 | 413 cases |
国立大学法人山口大学 | 408 cases |
国立大学法人熊本大学 | 408 cases |
国立大学法人九州工業大学 | 391 cases |
国立大学法人鹿児島大学 | 389 cases |
国立大学法人静岡大学 | 384 cases |
国立大学法人岡山大学 | 383 cases |
トヨタ自動車株式会社 | 383 cases |
学校法人日本大学 | 342 cases |
国立大学法人豊橋技術科学大学 | 342 cases |
国立大学法人山形大学 | 340 cases |
学校法人近畿大学 | 332 cases |
国立大学法人山梨大学 | 326 cases |
国立大学法人鳥取大学 | 312 cases |
国立大学法人長岡技術科学大学 | 283 cases |
国立大学法人新潟大学 | 278 cases |
国立大学法人徳島大学 | 274 cases |
国立大学法人三重大学 | 272 cases |
国立大学法人群馬大学 | 266 cases |
国立研究開発法人産業技術総合研究所 | 252 cases |
国立大学法人埼玉大学 | 239 cases |
公立大学法人大阪府立大学 | 83 cases |
Below is a patent map showing changes in the number of applications for JP patents of 42 companies in the same industry over the past 20 years.
The changes in the number of patents shared with 国立大学法人東海国立大学機構’s top coapplicants are shown below.
By searching for the top coapplicants, you can discover what companies 国立大学法人東海国立大学機構 is partnered with to develop technologies and use this information for R&D and intellectual property strategies.
Also, by looking at the change in the number of filings, you can see what companies 国立大学法人東海国立大学機構 conducted joint research with in the past, and check the history of 国立大学法人東海国立大学機構’s alliances, partnerships, and joint research and development.
If you want to search for more detailed information, you can use Patent Integration to quickly find out specifically what company they filed a joint application with and what invention it was for.
Among the top coapplicants, トヨタ自動車株式会社 has the highest number of joint applications in the last in the last 3 years (2023 to 2025) with 4 cases, followed by 日本電信電話株式会社 with 3 cases.
Name | Cases |
---|---|
トヨタ自動車株式会社 | 4 cases |
日本電信電話株式会社 | 3 cases |
株式会社デンソー | 2 cases |
住友電気工業株式会社 | 1 cases |
Among the top coapplicants, トヨタ自動車株式会社 has the highest number of joint applications in the last for the target period (2015 to 2025) with 94 cases, followed by 株式会社デンソー with 73 cases.
Name | Cases |
---|---|
トヨタ自動車株式会社 | 94 cases |
株式会社デンソー | 73 cases |
日本電信電話株式会社 | 50 cases |
国立大学法人大阪大学 | 29 cases |
住友電気工業株式会社 | 22 cases |
Below is a ranking of the number of JP patent applications by 国立大学法人東海国立大学機構’s top 6 coapplicants over the last 20 years.
Below is a patent map showing the changes in the numbers of JP patent filings by 国立大学法人東海国立大学機構’s top 6 coapplicants over the last 20 years.
国立大学法人東海国立大学機構 filed 94 joint applications with トヨタ自動車株式会社 for the analysis period (2015 to 2025).
The mean of the number of filings over the last 5 years (2019 to 2024, 46 cases in total) is 7.7, and the median is 6.5. The coefficient of variation (standard deviation/mean) is 0.7, and there have been relatively large fluctuations in the number of filings from year to year.
The highest number of filings in 2021 with 17 cases, and their lowest number in 2023 with 4 cases.
Index | Value |
---|---|
Average | 7.7 patents |
Std Dev | 5.5 |
COV | 0.7 |
Year | Cases | YOY |
---|---|---|
2023 year | 4 cases | -66.7 % |
2022 year | 12 cases | -29.41 % |
2021 year | 17 cases | +143 % |
国立大学法人東海国立大学機構 filed 50 joint applications with 日本電信電話株式会社 for the analysis period (2015 to 2025).
The mean of the number of filings over the last 5 years (2019 to 2024, 33 cases in total) is 5.5, and the median is 5.5. The coefficient of variation (standard deviation/mean) is 0.7, and there have been relatively large fluctuations in the number of filings from year to year.
The number of filings has been decreasing for the last 3 years (2021 to 2024). The highest number of filings in 2020 with 11 cases, and their lowest number in 2023 with 3 cases.
Index | Value |
---|---|
Average | 5.5 patents |
Std Dev | 3.8 |
COV | 0.7 |
Year | Cases | YOY |
---|---|---|
2023 year | 3 cases | -62.5 % |
2022 year | 8 cases | +167 % |
2021 year | 3 cases | -72.7 % |
国立大学法人東海国立大学機構 filed 73 joint applications with 株式会社デンソー for the analysis period (2015 to 2025).
The mean of the number of filings over the last 5 years (2019 to 2024, 49 cases in total) is 8.2, and the median is 9.0. The coefficient of variation (standard deviation/mean) is 0.7, and there have been relatively large fluctuations in the number of filings from year to year.
The highest number of filings in 2021 with 15 cases, and their lowest number in 2023 with 2 cases.
Index | Value |
---|---|
Average | 8.2 patents |
Std Dev | 5.7 |
COV | 0.7 |
Year | Cases | YOY |
---|---|---|
2023 year | 2 cases | -85.7 % |
2022 year | 14 cases | -6.67 % |
2021 year | 15 cases | +114 % |
国立大学法人東海国立大学機構 filed 22 joint applications with 住友電気工業株式会社 for the analysis period (2015 to 2025).
The mean of the number of filings over the last 5 years (2019 to 2024, 10 cases in total) is 1.7, and the median is 1.0. The coefficient of variation (standard deviation/mean) is 1.1, and there have been very big fluctuations in the number of filings from year to year.
The number of filings has been decreasing for the last 3 years (2021 to 2024). The highest number of filings in 2015 with 5 cases, and their lowest number in 2022 with 0 cases.
Index | Value |
---|---|
Average | 1.7 patents |
Std Dev | 1.8 |
COV | 1.1 |
Year | Cases | YOY |
---|---|---|
2023 year | 1 cases | - |
2022 year | 0 cases | -100 % |
2021 year | 3 cases | +200 % |
国立大学法人東海国立大学機構 filed 29 joint applications with 国立大学法人大阪大学 for the analysis period (2015 to 2025).
The mean of the number of filings over the last 5 years (2019 to 2024, 11 cases in total) is 1.8, and the median is 2.0. The coefficient of variation (standard deviation/mean) is 0.8, and there have been relatively large fluctuations in the number of filings from year to year.
The highest number of filings in 2017 with 9 cases, and their lowest number in 2023 with 0 cases.
Index | Value |
---|---|
Average | 1.8 patents |
Std Dev | 1.5 |
COV | 0.8 |
Year | Cases | YOY |
---|---|---|
2022 year | 2 cases | 0 |
2021 year | 2 cases | -50.0 % |
2020 year | 4 cases | +33.3 % |
The following shows JP patents held by 国立大学法人東海国立大学機構 that have had an invalidation trial against them demanded or an opposition filed against them by a third party, and 国立大学法人東海国立大学機構’s JP patents/patent applications of high importance cited by Examiners in patent examination processes.
By noting the most important patents, you can obtain knowledge of the competitive business environment in which 国立大学法人東海国立大学機構 is placed (e.g., whether it is a fiercely competitive environment or an oligopolistic market and the like). In general, it can be understood that a company with a large number of demands for invalidation trials is developing their business in a business environment where IP disputes are common.
If you want to search for more detailed information, you can use Patent Integration to retrieve and download by company cited patents/patent applications or patents undergoing invalidation trials. You can quickly extract important patents from a patent set that includes multiple competitors by cross-referencing with other keywords and patent classifications. Please consider using it for searches for important patents/patent applications.
In the last 3 years (2022-01-01 ~ 2024-12-31), there were 2 patents Opposition from third parties. The average number of Opposition is 1.0 times. The most recently Opposition patent is 特許7128530 "油脂含有排水処理方法、システムおよび装置" (Opposition day 2023-02-27) , next is 特許6906766 "ガス処理方法及びガス処理装置" (Opposition day 2022-01-13) .
- | No. | Title | Opposition days |
---|---|---|---|
1 | 特許7128530 | 油脂含有排水処理方法、システムおよび装置 | 2023-02-27 |
2 | 特許6906766 | ガス処理方法及びガス処理装置 | 2022-01-13 |
In the last 3 years (2022-01-01 ~ 2024-12-31), there were 6 patents Protest from third parties. The average number of Protest is 1.8 times. The most recently Protest patent is 特開2023-057256 "燃料電池" (Protest day 2024-09-26) , next is 特許7388627 "水素透過装置及び水素透過装置の製造方法" (Protest day 2023-05-23) .
- | No. | Title | Protest days |
---|---|---|---|
1 | 特開2023-057256 | 燃料電池 | 2024-09-26 |
2 | 特許7388627 | 水素透過装置及び水素透過装置の製造方法 | 2023-05-23 |
3 | 特許7441522 | 負熱膨張材料の製造方法 | 2022-12-08 |
4 | 特許7291374 | 植物成長調整剤 | 2022-06-28 |
5 | 特許7338881 | 負熱膨張材料微粒子群、複合材料及びその製造方法 | 2022-06-23 |
6 | 特許7128530 | 油脂含有排水処理方法、システムおよび装置 | 2022-04-14 |
Of the patent applications filed in the last 10 years (2015-01-01 to 2024-12-31), 9 patents/patent applications were protest more than once in the examination process of other patent applications. The mean of the number of protest is 1.7. The most protest patent is 特許7128530 "油脂含有排水処理方法、システムおよび装置" (6 times) , and the next most protest patent is 特開2017-067804 "スーパーコンティニュアム光源" (2 times) .
- | No. | Title | |
---|---|---|---|
1 | 特許7128530 | 油脂含有排水処理方法、システムおよび装置 | 6 times |
2 | 特開2017-067804 | スーパーコンティニュアム光源 | 2 times |
3 | 特許7338881 | 負熱膨張材料微粒子群、複合材料及びその製造方法 | 1 times |
4 | 特許7291374 | 植物成長調整剤 | 1 times |
5 | 特開2017-227260 | 耐摩耗部材およびこれを用いたメカニカルシール | 1 times |
In the last 3 years (2022-01-01 ~ 2024-12-31), there were 13 patents Inspection from third parties. The average number of Inspection is 1.6 times. The most recently Inspection patent is 特許6988034 "妊産婦うつ症状の推定システムおよび推定方法、推定モデル生成装置" (Inspection day 2024-12-12) , next is 特開2023-057256 "燃料電池" (Inspection day 2024-10-01) .
- | No. | Title | Inspection days |
---|---|---|---|
1 | 特許6988034 | 妊産婦うつ症状の推定システムおよび推定方法、推定モデル生成装置 | 2024-12-12 |
2 | 特開2023-057256 | 燃料電池 | 2024-10-01 |
3 | 特許5987197 | 水素分離膜及び水素分離方法 | 2023-08-08 |
4 | 特許6384831 | 水素分離装置および水素分離方法 | 2023-08-08 |
5 | 特許7388627 | 水素透過装置及び水素透過装置の製造方法 | 2023-06-15 |
6 | 特許7338881 | 負熱膨張材料微粒子群、複合材料及びその製造方法 | 2023-06-05 |
7 | 特許7066178 | III族窒化物半導体素子の製造装置および製造方法ならびに半導体ウエハの製造方法 | 2023-02-01 |
8 | 特許7441522 | 負熱膨張材料の製造方法 | 2023-01-06 |
9 | 特許7285595 | 接触検出方法および加工装置 | 2022-08-29 |
10 | 特許5468783 | 組織再生用のフィルム | 2022-08-08 |
11 | 特許7289563 | 加工方法、加工装置および加工プログラム | 2022-08-05 |
12 | 特許5792442 | 細胞特異的ペプチドを含有する繊維構造体 | 2022-05-18 |
13 | 特許7128530 | 油脂含有排水処理方法、システムおよび装置 | 2022-04-18 |
Of the patent applications filed in the last 10 years (2015-01-01 to 2024-12-31), 33 patents/patent applications were inspection more than once in the examination process of other patent applications. The mean of the number of inspection is 1.4. The most inspection patent is 特許7128530 "油脂含有排水処理方法、システムおよび装置" (7 times) , and the next most inspection patent is 特許7338881 "負熱膨張材料微粒子群、複合材料及びその製造方法" (3 times) .
- | No. | Title | |
---|---|---|---|
1 | 特許7128530 | 油脂含有排水処理方法、システムおよび装置 | 7 times |
2 | 特許7338881 | 負熱膨張材料微粒子群、複合材料及びその製造方法 | 3 times |
3 | 特許6579587 | プラズマ処理装置 | 2 times |
4 | 特開2017-067804 | スーパーコンティニュアム光源 | 2 times |
5 | 特開2016-144617 | 電気刺激装置 | 2 times |
Of the patent applications filed in the last 10 years (2015-01-01 to 2024-12-31), 345 patents/patent applications were cited more than once in the examination process of other patent applications. The mean of the number of cited is 2.6. The most cited patent is 特許6232649 "仮想空間表示システム" (21 times) , and the next most cited patent is 特許6448129 "細胞評価装置、インキュベータ、細胞評価方法、プログラム、及び細胞の培養方法" (18 times) .
- | No. | Title | |
---|---|---|---|
1 | 特許6232649 | 仮想空間表示システム | 21 times |
2 | 特許6448129 | 細胞評価装置、インキュベータ、細胞評価方法、プログラム、及び細胞の培養方法 | 18 times |
3 | 特許6293710 | 半導体ナノ粒子およびその製造方法 | 16 times |
4 | 特許6411942 | 物体認識装置 | 15 times |
5 | 特許6464215 | 半導体ナノ粒子およびその製造方法 | 15 times |
"Patent Integration Report" is a web service provided by "Patent Integration Co., Ltd." operated by patent attorneys who are experts in intellectual property rights. Based on the latest patent data, this is one of the largest patent report services in Japan that provides information on technology trends in various companies and technology fields.
The purpose of this web service is to make intellectual property information familiar to many people, regardless of whether they have an interest in intellectual property rights, and to make use of it.
We actively provide various types of patent information that can be used in various media articles such as newspapers, magazines, and web media. Please feel free to contact us from "Inquiry form for details on the content of patent information that can be provided, conditions for provision, etc. Please contact us.
All rights related to the data, documents and charts belong to "an integrated patent search/analysis service provider, Patent Integration". Please specify the source “Patent Integration Report, URL: https://patent-i.com/report/en/" when inserting them into in-house materials, external report materials, etc., regardless of whether they are paid or free of charge.
Patent data is obtained by aggregating and analyzing the latest patent data issued by the Patent Offices of respective countries and jurisdictions and by WIPO. Although we take great care in publishing and analyzing the results, we do not guarantee the correctness of the data. We appreciate your understanding.
If you have any concerns about this service, please feel free to contact us.
All rights to the data, documents, figures and tables are reserved by e-Patent. When publishing internal documents, external reports, etc. (whether paid or free of charge), please use the following URL: https://e-patent.co.jp/.
e-Patent will not be liable for any damages or losses arising from the use of the global patent application status, ranking information, or population search formula in the "SDGs Global Company Ranking from a Patent Perspective". Items with ● in front of the target are not supported at this time (judged to be difficult to approach from the patent information analysis).
There is no problem to cite patent application status and ranking information, but please clearly indicate "Source: e-Patent Co.
Credit notation
・MeCab user dictionary for science technology term © National Bioscience Database Center licensed under CC Attribution-Share Alike 4.0 International