モデル (JP Patent Analysis Report)
The Technical Field "モデル" had 1,857 patent application filings in the most recent period (2023-01-01 to 2023-03-31). This is a significantly decreased of -738 filings (-28.4%) over 2,595 they had in the same period of the previous year (2022-01-01 to 2022-03-31). This report also includes technical terms related to " 模型 " in the search set.
The highest number of filings in 2021 with 9,888 cases, and their lowest number in 2014 with 3,762 cases.
The mean of the number of filings over the last 5 years (2018 to 2023, 48,655 cases in total) is 8,109, and the median is 9,118. The coefficient of variation (standard deviation/mean) is 0.25, and there have been small fluctuations in the number of filings from year to year.
| Index | Value |
|---|---|
| Average | 8,109 patents |
| Std Dev | 2,051 |
| COV | 0.25 |
The number of filings has been decreasing for the last 3 years (2020 to 2023).
| Year | Cases | YOY |
|---|---|---|
| 2022 year | 9,256 cases | -6.39 % |
| 2021 year | 9,888 cases | +1.97 % |
| 2020 year | 9,697 cases | +7.98 % |
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 モデル for the period of the last 10 years (2014-01-01 to 2024-11-30). 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 モデル, 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..
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.
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.
モデル, Changes in the Number of JP Patents/Patent Applications
The changes in the number of patent filings of モデル 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.
Search Set (Analysis Patents)
This patent analysis report was created for a patent search set of 66,982 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.
モデル
Same industry / competition company information (JP)
The number of patents and changes in the number of patents of other companies (competitors) in the same industry as モデル 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.
Trends in filing of joint patent applications in the last 3 years (2022 to 2024).
Comparing the number of applications of each company, 三菱電機株式会社 has the highest number of joint applications in the last in the last 3 years (2022 to 2024) with 426 cases, followed by 株式会社日立製作所 with 418 cases.
| Name | Cases |
|---|---|
| 三菱電機株式会社 | 426 cases |
| 株式会社日立製作所 | 418 cases |
| キヤノン株式会社 | 376 cases |
| トヨタ自動車株式会社 | 374 cases |
| 富士通株式会社 | 308 cases |
| 株式会社東芝 | 209 cases |
| 日本電気株式会社 | 183 cases |
| 三菱重工業株式会社 | 88 cases |
| コーニンクレッカフィリップスエヌヴェ | 71 cases |
| 日本電信電話株式会社 | 66 cases |
| ソニーグループ株式会社 | 52 cases |
Trends in filing of joint patent applications for the target period (2014 to 2024).
Comparing the number of applications of each company, 株式会社日立製作所 has the highest number of joint applications in the last for the target period (2014 to 2024) with 1,782 cases, followed by キヤノン株式会社 with 1,734 cases.
| Name | Cases |
|---|---|
| 株式会社日立製作所 | 1,782 cases |
| キヤノン株式会社 | 1,734 cases |
| 三菱電機株式会社 | 1,594 cases |
| 日本電気株式会社 | 1,491 cases |
| 富士通株式会社 | 1,486 cases |
| 日本電信電話株式会社 | 1,417 cases |
| トヨタ自動車株式会社 | 1,149 cases |
| 株式会社東芝 | 1,017 cases |
| コーニンクレッカフィリップスエヌヴェ | 726 cases |
| ソニーグループ株式会社 | 462 cases |
| 三菱重工業株式会社 | 422 cases |
Same industry / competition company, Change in the Number of JP Patents
Below is a patent map showing changes in the number of applications for JP patents of 11 companies in the same industry over the past 20 years.
Top company information (JP)
The number of patents and changes in the number of patents of other companies (competitors) in the same industry as モデル 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.
Trends in filing of joint patent applications in the last 3 years (2022 to 2024).
Among the top coapplicants, 三菱電機株式会社 has the highest number of joint applications in the last in the last 3 years (2022 to 2024) with 426 cases, followed by 株式会社日立製作所 with 418 cases.
| Name | Cases |
|---|---|
| 三菱電機株式会社 | 426 cases |
| 株式会社日立製作所 | 418 cases |
| トヨタ自動車株式会社 | 374 cases |
| 富士通株式会社 | 308 cases |
| 株式会社東芝 | 209 cases |
| 日本電気株式会社 | 183 cases |
| 日本電信電話株式会社 | 66 cases |
Trends in filing of joint patent applications for the target period (2014 to 2024).
Among the top coapplicants, 株式会社日立製作所 has the highest number of joint applications in the last for the target period (2014 to 2024) with 1,782 cases, followed by 三菱電機株式会社 with 1,594 cases.
| Name | Cases |
|---|---|
| 株式会社日立製作所 | 1,782 cases |
| 三菱電機株式会社 | 1,594 cases |
| 日本電気株式会社 | 1,491 cases |
| 富士通株式会社 | 1,486 cases |
| 日本電信電話株式会社 | 1,417 cases |
| トヨタ自動車株式会社 | 1,149 cases |
| 株式会社東芝 | 1,017 cases |
Top company, Change in the Number of JP Patents
Below is a ranking of the number of JP patent applications by モデル’s top 7 coapplicants over the last 20 years.
Below is a patent map showing the changes in the numbers of JP patent filings by モデル’s top 7 coapplicants over the last 20 years.
Top company Details (JP)
Trends in filing of joint patent applications with 株式会社日立製作所
モデル filed 1,782 joint applications with 株式会社日立製作所 for the analysis period (2014 to 2024).
The mean of the number of filings over the last 5 years (2018 to 2023, 1,328 cases in total) is 221, and the median is 236. The coefficient of variation (standard deviation/mean) is 0.27, and there have been small fluctuations in the number of filings from year to year.
The number of filings has been increasing for the last 3 years (2020 to 2023). The highest number of filings in 2022 with 293 cases, and their lowest number in 2014 with 88 cases.
| Index | Value |
|---|---|
| Average | 221 patents |
| Std Dev | 60.3 |
| COV | 0.27 |
| Year | Cases | YOY |
|---|---|---|
| 2022 year | 293 cases | +7.33 % |
| 2021 year | 273 cases | +6.64 % |
| 2020 year | 256 cases | +18.52 % |
Trends in filing of joint patent applications with 株式会社東芝
モデル filed 1,017 joint applications with 株式会社東芝 for the analysis period (2014 to 2024).
The mean of the number of filings over the last 5 years (2018 to 2023, 684 cases in total) is 114, and the median is 114. The coefficient of variation (standard deviation/mean) is 0.21, and there have been small fluctuations in the number of filings from year to year.
The number of filings has been decreasing for the last 3 years (2020 to 2023). The highest number of filings in 2021 with 145 cases, and their lowest number in 2014 with 66 cases.
| Index | Value |
|---|---|
| Average | 114 patents |
| Std Dev | 24.5 |
| COV | 0.21 |
| Year | Cases | YOY |
|---|---|---|
| 2022 year | 138 cases | -4.83 % |
| 2021 year | 145 cases | +23.93 % |
| 2020 year | 117 cases | +6.36 % |
Trends in filing of joint patent applications with 三菱電機株式会社
モデル filed 1,594 joint applications with 三菱電機株式会社 for the analysis period (2014 to 2024).
The mean of the number of filings over the last 5 years (2018 to 2023, 1,240 cases in total) is 207, and the median is 210. The coefficient of variation (standard deviation/mean) is 0.4, and there have been big fluctuations in the number of filings from year to year.
The number of filings has been increasing for the last 3 years (2020 to 2023). The highest number of filings in 2022 with 291 cases, and their lowest number in 2015 with 75 cases.
| Index | Value |
|---|---|
| Average | 207 patents |
| Std Dev | 75.6 |
| COV | 0.4 |
| Year | Cases | YOY |
|---|---|---|
| 2022 year | 291 cases | +2.11 % |
| 2021 year | 285 cases | +6.34 % |
| 2020 year | 268 cases | +77.5 % |
Trends in filing of joint patent applications with 富士通株式会社
モデル filed 1,486 joint applications with 富士通株式会社 for the analysis period (2014 to 2024).
The mean of the number of filings over the last 5 years (2018 to 2023, 1,065 cases in total) is 178, and the median is 202. The coefficient of variation (standard deviation/mean) is 0.24, and there have been small fluctuations in the number of filings from year to year.
The number of filings has been decreasing for the last 3 years (2020 to 2023). The highest number of filings in 2020 with 213 cases, and their lowest number in 2014 with 71 cases.
| Index | Value |
|---|---|
| Average | 178 patents |
| Std Dev | 43.1 |
| COV | 0.24 |
| Year | Cases | YOY |
|---|---|---|
| 2022 year | 202 cases | 0 |
| 2021 year | 202 cases | -5.16 % |
| 2020 year | 213 cases | +4.93 % |
Trends in filing of joint patent applications with 日本電気株式会社
モデル filed 1,491 joint applications with 日本電気株式会社 for the analysis period (2014 to 2024).
The mean of the number of filings over the last 5 years (2018 to 2023, 1,031 cases in total) is 172, and the median is 169. The coefficient of variation (standard deviation/mean) is 0.4, and there have been big fluctuations in the number of filings from year to year.
The highest number of filings in 2020 with 288 cases, and their lowest number in 2016 with 94 cases.
| Index | Value |
|---|---|
| Average | 172 patents |
| Std Dev | 74.1 |
| COV | 0.4 |
| Year | Cases | YOY |
|---|---|---|
| 2022 year | 134 cases | -13.55 % |
| 2021 year | 155 cases | -46.2 % |
| 2020 year | 288 cases | +29.73 % |
Information on important patents (JP)
The following shows JP patents held by モデル that have had an invalidation trial against them demanded or an opposition filed against them by a third party, and モデル’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 モデル 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.
Glossary
- Cited
- Indicates that the patent/patent application has been cited (by Examiners) in notices of reasons for rejection in the examination process of other (Japanese, U.S., or European) patent applications. The higher the number of citations, the more important the patent/patent application is considered to be.
- Request for invalidation trial
- Indicates that a third party has requested a procedure to invalidate the patent. It is likely to affect the business of third parties and is considered to be of high importance.
- Opposition
- Indicates that a third party has filed a petition with the Patent Office to hear the validity of the patent again. Like the trial for invalidation, it is considered to be of high importance.
- Information provision
- Indicates that a third party has provided the Patent Office with useful information for examination for the patent filed. It is usually considered to be of high importance because it is done to prevent the patent from being granted.
- Browsing request
- Indicates that a third party has requested the Patent Office to view the patent bag (a set of documents exchanged between the Patent Office and the applicant). The bag is often checked prior to trial for invalidation, opposition, and provision of information, and is considered to be a highly important patent.
Invalidationed Trial cases
List of latest Invalidationed Trial patents
In the last 3 years (2021-12-01 ~ 2024-11-30), there were 2 patents Invalidation Trial from third parties. The average number of Invalidation Trial is 1.0 times. The most recently Invalidation Trial patent is 特許6934143 "自動車の損傷度を査定する方法" (Invalidation Trial day 2023-10-06) , next is 特許6203879 "配列操作のための系、方法および最適化ガイド組成物のエンジニアリング" (Invalidation Trial day 2022-09-30) .
| - | No. | Title | Invalidation Trial days |
|---|---|---|---|
| 1 | 特許6934143 | 自動車の損傷度を査定する方法 | 2023-10-06 |
| 2 | 特許6203879 | 配列操作のための系、方法および最適化ガイド組成物のエンジニアリング | 2022-09-30 |
Top Patents/Patent Applications with the Highest Number of Invalidationed Trial
Of the patent applications filed in the last 10 years (2014-12-01 to 2024-11-30), 2 patents/patent applications were invalidation trial more than once in the examination process of other patent applications. The mean of the number of invalidation trial is 1.0. The most invalidation trial patent is 特許6934143 "自動車の損傷度を査定する方法" (1 times) , and the next most invalidation trial patent is 特許6203879 "配列操作のための系、方法および最適化ガイド組成物のエンジニアリング" (1 times) .
| - | No. | Title | |
|---|---|---|---|
| 1 | 特許6934143 | 自動車の損傷度を査定する方法 | 1 times |
| 2 | 特許6203879 | 配列操作のための系、方法および最適化ガイド組成物のエンジニアリング | 1 times |
Oppositioned cases
List of latest Oppositioned patents
In the last 3 years (2021-12-01 ~ 2024-11-30), there were 81 patents Opposition from third parties. The average number of Opposition is 1.0 times. The most recently Opposition patent is 特許7472034 "ショベル、ショベル支援システム" (Opposition day 2024-10-18) , next is 特許7466801 "制御装置、工作機械システム、および加工方法" (Opposition day 2024-10-08) .
| - | No. | Title | Opposition days |
|---|---|---|---|
| 1 | 特許7472034 | ショベル、ショベル支援システム | 2024-10-18 |
| 2 | 特許7466801 | 制御装置、工作機械システム、および加工方法 | 2024-10-08 |
| 3 | 特許7450309 | ＡＩ管路劣化予測システム、ＡＩ管路劣化予測方法及びＡＩ管路劣化予測プログラム | 2024-09-09 |
| 4 | 特許7444489 | 学習支援システム及びサービス提供方法 | 2024-09-03 |
| 5 | 特許7430437 | 印刷物に印刷された文字情報を収集する方法、プログラム及び情報処理装置 | 2024-08-05 |
| 6 | 特許7409580 | 炉温制御装置、炉温制御方法及びコークスの製造方法 | 2024-07-09 |
| 7 | 特許7439206 | 情報処理方法、情報処理装置、プログラム、記録媒体、生産システム、ロボットシステム、物品の製造方法 | 2024-07-05 |
| 8 | 特許7440220 | 板金加工見積作成支援装置及び板金加工見積作成支援方法 | 2024-06-27 |
| 9 | 特許7404196 | 故障診断装置、故障診断システム、及び故障診断プログラム | 2024-06-25 |
| 10 | 特許7404197 | 故障診断装置、故障診断システム、及び故障診断プログラム | 2024-06-25 |
Protested cases
List of latest Protested patents
In the last 3 years (2021-12-01 ~ 2024-11-30), there were 141 patents Protest from third parties. The average number of Protest is 1.2 times. The most recently Protest patent is 特開2024-052561 "溶接構造物用厚鋼板及びその製造方法、溶接部欠陥発生予測モデルの生成方法、並びに溶接構造物" (Protest day 2024-11-20) , next is 特開2024-037736 "推測装置、推測システム、推測プログラム及び推測方法" (Protest day 2024-11-12) .
| - | No. | Title | Protest days |
|---|---|---|---|
| 1 | 特開2024-052561 | 溶接構造物用厚鋼板及びその製造方法、溶接部欠陥発生予測モデルの生成方法、並びに溶接構造物 | 2024-11-20 |
| 2 | 特開2024-037736 | 推測装置、推測システム、推測プログラム及び推測方法 | 2024-11-12 |
| 3 | 特開2022-012974 | 廃棄物処理システム及び廃棄物処理方法 | 2024-11-12 |
| 4 | 特開2023-050804 | 路面判定装置、及び、路面判定方法 | 2024-11-07 |
| 5 | 特開2023-074843 | 転がり抵抗解析方法及び転がり抵抗解析装置 | 2024-11-01 |
| 6 | 特開2023-088168 | 連続体の挙動解析装置、連続体の挙動解析方法、及びプログラム | 2024-10-31 |
| 7 | 特開2023-069910 | 風車配置適正化装置、風車配置適正化方法、およびプログラム | 2024-09-27 |
| 8 | 特開2023-070530 | タイヤのシミュレーション方法 | 2024-09-26 |
| 9 | 特開2024-046200 | 樹脂成形品のボイドを予測する方法、樹脂成形品のボイドを低減する方法、樹脂成形品のボイドを予測するためのプログラム及び樹脂成形品のボイドを低減するためのプログラム | 2024-09-19 |
| 10 | 特開2023-142392 | 含水率計測装置及び含水率計測方法 | 2024-09-03 |
| 11 | 特開2023-128432 | 診断装置、および診断装置の制御方法 | 2024-09-02 |
| 12 | 特開2024-056067 | 情報処理装置、情報処理方法、制御装置、構造物、学習済みモデルの生成方法、及びプログラム | 2024-08-26 |
| 13 | 特許7421740 | 分析プログラム、情報処理装置、および分析方法 | 2024-08-11 |
| 14 | 特開2023-013058 | 機械学習装置、生産計画策定装置、及び、推論装置 | 2024-08-09 |
| 15 | 特開2022-073649 | 判定装置、判定方法、プログラム及び回収装置 | 2024-07-30 |
| 16 | 特開2022-048698 | 高炉の制御装置、高炉の操業方法、及びプログラム | 2024-07-24 |
| 17 | 特開2022-075066 | 免震装置の施工方法及び建物 | 2024-07-11 |
| 18 | 特表2022-503837 | 体外血液処理装置のための流体加温装置および体外血液処理装置のための流体加温装置の出口における流体温度を検出する方法 | 2024-06-21 |
| 19 | 特開2023-114578 | 電子帳票作成支援装置、方法及びプログラム | 2024-06-14 |
| 20 | 特開2022-166350 | 材料プロセス探索装置、材料プロセス探索システム、および、相関モデル生成方法 | 2024-06-03 |
Top Patents/Patent Applications with the Highest Number of Protested
Of the patent applications filed in the last 10 years (2014-12-01 to 2024-11-30), 221 patents/patent applications were protest more than once in the examination process of other patent applications. The mean of the number of protest is 1.2. The most protest patent is 特開2023-050804 "路面判定装置、及び、路面判定方法" (7 times) , and the next most protest patent is 特許6587556 "情報処理装置及び情報処理方法" (5 times) .
| - | No. | Title | |
|---|---|---|---|
| 1 | 特開2023-050804 | 路面判定装置、及び、路面判定方法 | 7 times |
| 2 | 特許6587556 | 情報処理装置及び情報処理方法 | 5 times |
| 3 | 特表2019-528113 | 機械学習モデルを使用した眼底画像の処理 | 5 times |
| 4 | 特許6351075 | 三次元的印刷方法 | 3 times |
| 5 | 特許7281768 | 情報処理装置、情報処理プログラム、および情報処理方法 | 3 times |
Inspectioned cases
List of latest Inspectioned patents
In the last 3 years (2021-12-01 ~ 2024-11-30), there were 357 patents Inspection from third parties. The average number of Inspection is 1.2 times. The most recently Inspection patent is 特表2021-535739 "下流精製でのラマン分光法の使用" (Inspection day 2024-11-26) , next is 特開2022-012974 "廃棄物処理システム及び廃棄物処理方法" (Inspection day 2024-11-22) .
| - | No. | Title | Inspection days |
|---|---|---|---|
| 1 | 特表2021-535739 | 下流精製でのラマン分光法の使用 | 2024-11-26 |
| 2 | 特開2022-012974 | 廃棄物処理システム及び廃棄物処理方法 | 2024-11-22 |
| 3 | 特表2022-516199 | ニューレグリンを用いて心筋損傷を予防、治療、又は緩和するための方法及びそのための組成物 | 2024-11-21 |
| 4 | 特開2022-160618 | ロボット支援再置換手技用のシステム | 2024-11-19 |
| 5 | 特開2023-101875 | 鉄筋コンクリート用の鉄筋部材の加工方法、鉄筋部材加工システム、鉄筋コンクリート建物の施工方法、及び、建物設計サーバ | 2024-11-12 |
| 6 | 特表2022-528961 | 胚を選択する方法及びシステム | 2024-10-23 |
| 7 | 特表2022-551683 | 人工知能（ＡＩ）モデルを使用した非侵襲的遺伝子検査を行う方法及びシステム | 2024-10-23 |
| 8 | 特開2023-070530 | タイヤのシミュレーション方法 | 2024-10-22 |
| 9 | 特許7236543 | ＨＬＡクラスＩＩ特異的エピトープの予測およびＣＤ４＋ Ｔ細胞の特徴付けのための方法およびシステム | 2024-10-07 |
| 10 | 特表2024-535653 | 低血糖症リスクを特定および予測するためのシステムおよび方法 | 2024-10-04 |
| 11 | 特開2023-069910 | 風車配置適正化装置、風車配置適正化方法、およびプログラム | 2024-10-01 |
| 12 | 特開2024-046200 | 樹脂成形品のボイドを予測する方法、樹脂成形品のボイドを低減する方法、樹脂成形品のボイドを予測するためのプログラム及び樹脂成形品のボイドを低減するためのプログラム | 2024-09-30 |
| 13 | 特開2023-128432 | 診断装置、および診断装置の制御方法 | 2024-09-27 |
| 14 | 特開2022-074092 | 医用画像のシードに基づくセグメント化のシードの再ラベル付けのための方法、コンピュータ・プログラムおよび装置（医用画像のシードに基づくセグメント化のシードの再ラベル付け） | 2024-09-25 |
| 15 | 特開2022-074088 | 病変検出人工知能パイプライン・コンピューティング・システムのための方法、コンピュータ・プログラム、および装置（病変検出人工知能パイプライン・コンピューティング・システム） | 2024-09-25 |
| 16 | 特開2023-050804 | 路面判定装置、及び、路面判定方法 | 2024-09-17 |
| 17 | 特開2023-055873 | 物体の三次元モデルを形成するための１つ又は複数の光度エッジの生成 | 2024-09-13 |
| 18 | 特開2022-034404 | 医用画像生成装置、治療計画作成装置、治療システム、医用画像生成方法、治療計画作成方法、医用画像生成プログラム及び治療計画作成プログラム | 2024-09-12 |
| 19 | 特表2022-546381 | オーグメント式股関節形成術手順のためのロボット外科システム | 2024-09-11 |
| 20 | 特許7167084 | 異常検出システム、異常検出方法、異常検出プログラム及び学習済モデル生成方法 | 2024-09-06 |
Top Patents/Patent Applications with the Highest Number of Inspectioned
Of the patent applications filed in the last 10 years (2014-12-01 to 2024-11-30), 689 patents/patent applications were inspection more than once in the examination process of other patent applications. The mean of the number of inspection is 1.2. The most inspection patent is 特許6444494 "予測データ分析のためのシステムおよび技術" (11 times) , and the next most inspection patent is 特許7287060 "セラミックスボール" (8 times) .
| - | No. | Title | |
|---|---|---|---|
| 1 | 特許6444494 | 予測データ分析のためのシステムおよび技術 | 11 times |
| 2 | 特許7287060 | セラミックスボール | 8 times |
| 3 | 特許7371535 | 自動運転制御装置、自動運転制御システム、自動運転制御方法、および廃棄物処理施設 | 7 times |
| 4 | 特許7281768 | 情報処理装置、情報処理プログラム、および情報処理方法 | 6 times |
| 5 | 特許6325617 | 心肺機能不全に対する易罹患性（ｓｕｓｃｅｐｔｉｂｉｌｉｔｙ）を判断するシステム及びその装置を制御する方法 | 5 times |
Cited cases
Top Patents/Patent Applications with the Highest Number of Cited
Of the patent applications filed in the last 10 years (2014-12-01 to 2024-11-30), 14,335 patents/patent applications were cited more than once in the examination process of other patent applications. The mean of the number of cited is 2.9. The most cited patent is 特許6423402 "セキュリティ処理方法及びサーバ" (90 times) , and the next most cited patent is 特許6522488 "ワークの取り出し動作を学習する機械学習装置、ロボットシステムおよび機械学習方法" (73 times) .
| - | No. | Title | |
|---|---|---|---|
| 1 | 特許6423402 | セキュリティ処理方法及びサーバ | 90 times |
| 2 | 特許6522488 | ワークの取り出し動作を学習する機械学習装置、ロボットシステムおよび機械学習方法 | 73 times |
| 3 | 特許6573739 | 室内用有酸素運動装置、運動システム | 69 times |
| 4 | 特許6453917 | 音声ウェイクアップ方法及び装置 | 67 times |
| 5 | 特許6421689 | 運動情報測定装置、運動支援方法、及び運動支援プログラム | 62 times |
Providing patent information to the media (newspapers, magazines, etc.)
"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.
About this Site
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/.
Please note the following points for use.
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).
Citation of patent application status and ranking information
There is no problem to cite patent application status and ranking information, but please clearly indicate "Source: e-Patent Co.
Graphs are image data.
Please note that the various graphs are image data, but we cannot provide them in text data.Scope of coverage for each goal/target
- Based on the description of each goal and target of the SDGs, we have set the scope of technologies to be covered based on our and e-Patent's past experience, etc. (in some cases, the search is based on social issues themselves). Therefore, please note that there is a possibility that this "SDGs Global Company Ranking from Patent Perspective" may not cover 100%.
- A population search formula is clearly indicated for each goal/target (database: Patent Integration). You may use the population search formula as it is, or you may improve it by yourself.
- This search covers patents and utility models, including both published and registered patents (design and design patents are excluded). The unit of count is the number of applications, not the number of patent families.
About the name collation and name control of applicants and right holders
- Company rankings are based on the results calculated by "Patent Integration", with Japanese organizations in Japanese and other companies in English (some are in Japanese).
- Company names may be the names of the companies at the time of application, but the results calculated by Patent Integration are used as is. Company names are used as they were at the time of application.
- Because of the fluctuation in the names of companies (i.e., applicant/right holder names in the patent information), there are cases where the same company appears more than once in the top 10. The number of applications filed by the same company in the top 10 is the total number of applications filed by the company.
Credit notation
・MeCab user dictionary for science technology term © National Bioscience Database Center licensed under CC Attribution-Share Alike 4.0 International
Our Commitment to Safety and Security
Patent Integration Co., Ltd. is committed to providing high-quality patent information based on the latest patent data on more than 45 million cases collected from the Patent Offices in Japan, the U.S., Europe, and Taiwan and from PCT publication. 
Patent Integration Co., Ltd. collects the patent data from the Patent Offices in Japan, the U.S., Europe, and Taiwan and from PCT publications to provide it widely in the form of reports so that anyone can check patent information and patent trends with confidence. 
Patent Integration Co., Ltd. is committed to various efforts to enhance the reliability of the information and to allow users to search patent information with confidence.