The Technical Field "アルゴリズム" had 94 patent application filings in the most recent period (2023-01-01 to 2023-02-28). This is a significantly decreased of -174 filings (-64.9%) over 268 they had in the same period of the previous year (2022-01-01 to 2022-02-28). This report also includes technical terms related to " 演算法 ", " 演算規則 ", " 算法 ", " 系統的手順 " in the search set.
The highest number of filings in 2021 with 2,155 cases, and their lowest number in 2014 with 1,539 cases.
The mean of the number of filings over the last 5 years (2018 to 2023, 10,289 cases in total) is 1,715, and the median is 1,980. 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.
Index | Value |
---|---|
Average | 1,715 patents |
Std Dev | 604 |
COV | 0.4 |
The number of filings has been decreasing for the last 3 years (2020 to 2023).
Year | Cases | YOY |
---|---|---|
2022 year | 1,597 cases | -25.89 % |
2021 year | 2,155 cases | +0.65 % |
2020 year | 2,141 cases | +2.39 % |
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 アルゴリズム for the period of the last 10 years (2014-01-01 to 2024-10-31). 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 アルゴリズム, 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 アルゴリズム 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.
This patent analysis report was created for a patent search set of 16,899 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 アルゴリズム 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, インターナショナル・ビジネス・マシーンズ・コーポレーション has the highest number of joint applications in the last in the last 3 years (2022 to 2024) with 47 cases, followed by 株式会社日立製作所 with 40 cases.
Name | Cases |
---|---|
インターナショナル・ビジネス・マシーンズ・コーポレーション | 47 cases |
株式会社日立製作所 | 40 cases |
三菱電機株式会社 | 35 cases |
コーニンクレッカフィリップスエヌヴェ | 34 cases |
富士通株式会社 | 33 cases |
株式会社東芝 | 19 cases |
日本電気株式会社 | 17 cases |
キヤノン株式会社 | 17 cases |
日本電信電話株式会社 | 11 cases |
Comparing the number of applications of each company, コーニンクレッカフィリップスエヌヴェ has the highest number of joint applications in the last for the target period (2014 to 2024) with 469 cases, followed by 株式会社日立製作所 with 320 cases.
Name | Cases |
---|---|
コーニンクレッカフィリップスエヌヴェ | 469 cases |
株式会社日立製作所 | 320 cases |
日本電信電話株式会社 | 235 cases |
富士通株式会社 | 232 cases |
インターナショナル・ビジネス・マシーンズ・コーポレーション | 215 cases |
三菱電機株式会社 | 209 cases |
日本電気株式会社 | 163 cases |
ソニーグループ株式会社 | 146 cases |
キヤノン株式会社 | 140 cases |
株式会社東芝 | 115 cases |
パナソニックホールディングス株式会社 | 4 cases |
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.
The number of patents and changes in the number of patents of other companies (competitors) in the same industry as アルゴリズム 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.
Among the top coapplicants, 株式会社日立製作所 has the highest number of joint applications in the last in the last 3 years (2022 to 2024) with 40 cases, followed by コーニンクレッカフィリップスエヌヴェ with 34 cases.
Name | Cases |
---|---|
株式会社日立製作所 | 40 cases |
コーニンクレッカフィリップスエヌヴェ | 34 cases |
富士通株式会社 | 33 cases |
株式会社東芝 | 19 cases |
日本電気株式会社 | 17 cases |
日本電信電話株式会社 | 11 cases |
Among the top coapplicants, コーニンクレッカフィリップスエヌヴェ has the highest number of joint applications in the last for the target period (2014 to 2024) with 469 cases, followed by 株式会社日立製作所 with 320 cases.
Name | Cases |
---|---|
コーニンクレッカフィリップスエヌヴェ | 469 cases |
株式会社日立製作所 | 320 cases |
日本電信電話株式会社 | 235 cases |
富士通株式会社 | 232 cases |
日本電気株式会社 | 163 cases |
株式会社東芝 | 115 cases |
パナソニックホールディングス株式会社 | 4 cases |
Below is a ranking of the number of JP patent applications by アルゴリズム’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 アルゴリズム’s top 7 coapplicants over the last 20 years.
アルゴリズム filed 320 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, 158 cases in total) is 26.3, and the median is 28.0. The coefficient of variation (standard deviation/mean) is 0.28, 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 2015 with 49 cases, and their lowest number in 2019 with 25 cases.
Index | Value |
---|---|
Average | 26.3 patents |
Std Dev | 7.2 |
COV | 0.28 |
Year | Cases | YOY |
---|---|---|
2022 year | 27 cases | -25.00 % |
2021 year | 36 cases | +24.14 % |
2020 year | 29 cases | +16.00 % |
アルゴリズム filed 469 joint applications with コーニンクレッカフィリップスエヌヴェ for the analysis period (2014 to 2024).
The mean of the number of filings over the last 5 years (2018 to 2023, 252 cases in total) is 42.0, and the median is 50.5. 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.
The number of filings has been decreasing for the last 3 years (2020 to 2023). The highest number of filings in 2021 with 63 cases, and their lowest number in 2022 with 34 cases.
Index | Value |
---|---|
Average | 42.0 patents |
Std Dev | 20.7 |
COV | 0.5 |
Year | Cases | YOY |
---|---|---|
2022 year | 34 cases | -46.0 % |
2021 year | 63 cases | +16.67 % |
2020 year | 54 cases | +1.89 % |
アルゴリズム filed 163 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, 94 cases in total) is 15.7, and the median is 16.0. The coefficient of variation (standard deviation/mean) is 0.6, and there have been big 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 31 cases, and their lowest number in 2021 with 8 cases.
Index | Value |
---|---|
Average | 15.7 patents |
Std Dev | 8.7 |
COV | 0.6 |
Year | Cases | YOY |
---|---|---|
2022 year | 13 cases | +62.5 % |
2021 year | 8 cases | -74.2 % |
2020 year | 31 cases | +63.2 % |
アルゴリズム filed 115 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, 57 cases in total) is 9.5, and the median is 9.5. The coefficient of variation (standard deviation/mean) is 0.3, and there have been big 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 2016 with 17 cases, and their lowest number in 2021 with 5 cases.
Index | Value |
---|---|
Average | 9.5 patents |
Std Dev | 3.1 |
COV | 0.3 |
Year | Cases | YOY |
---|---|---|
2022 year | 10 cases | +100 % |
2021 year | 5 cases | -66.7 % |
2020 year | 15 cases | +36.4 % |
アルゴリズム filed 4 joint applications with パナソニックホールディングス株式会社 for the analysis period (2014 to 2024).
The mean of the number of filings over the last 10 years (2013 to 2023, 6 cases in total) is 0.5, and the median is 0. The coefficient of variation (standard deviation/mean) is 1.4, and there have been very big fluctuations in the number of filings from year to year.
The highest number of filings in 2016 with 2 cases, and their lowest number in 2022 with 0 cases.
Index | Value |
---|---|
Average | 0.5 patents |
Std Dev | 0.8 |
COV | 1.4 |
Year | Cases | YOY |
---|---|---|
2017 year | 1 cases | -50.0 % |
2016 year | 2 cases | +100 % |
2015 year | 1 cases | - |
The following shows JP patents held by アルゴリズム that have had an invalidation trial against them demanded or an opposition filed against them by a third party, and アルゴリズム’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 アルゴリズム 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 (2021-11-01 ~ 2024-10-31), there were 17 patents Opposition from third parties. The average number of Opposition is 1.0 times. The most recently Opposition patent is 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" (Opposition day 2024-07-05) , next is 特許7421740 "分析プログラム、情報処理装置、および分析方法" (Opposition day 2024-06-10) .
- | No. | Title | Opposition days |
---|---|---|---|
1 | 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 |
2 | 特許7421740 | 分析プログラム、情報処理装置、および分析方法 | 2024-06-10 |
3 | 特許7390581 | 情報処理装置、情報処理方法、および情報処理プログラム | 2024-05-31 |
4 | 特許7391286 | 情報処理装置、情報処理方法、および情報処理プログラム | 2024-05-31 |
5 | 特許7366132 | 投影装置、収集装置及びこれらを備えた三次元走査システム | 2024-04-19 |
6 | 特許7346356 | 予測装置および予測方法 | 2024-02-22 |
7 | 特許7330453 | X線検査システム、破袋システムおよび破砕システム | 2024-01-23 |
8 | 特許7288207 | 低分子化合物探索方法、プログラム、装置、およびシステム | 2023-12-06 |
9 | 特許7274529 | 薬剤識別システムおよび薬剤識別方法 | 2023-11-15 |
10 | 特許7258046 | 経路決定装置、ロボット及び経路決定方法 | 2023-10-12 |
In the last 3 years (2021-11-01 ~ 2024-10-31), there were 21 patents Protest from third parties. The average number of Protest is 1.4 times. The most recently Protest patent is 特許7421740 "分析プログラム、情報処理装置、および分析方法" (Protest day 2024-08-11) , next is 特開2024-038396 "画像解析方法、画像解析装置、およびプログラム" (Protest day 2024-07-16) .
- | No. | Title | Protest days |
---|---|---|---|
1 | 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 |
2 | 特開2024-038396 | 画像解析方法、画像解析装置、およびプログラム | 2024-07-16 |
3 | 特許7038388 | 医療システム及びそれを実行する方法 | 2024-03-10 |
4 | 特開2023-110924 | 情報処理装置、情報処理プログラム、および情報処理方法 | 2023-11-24 |
5 | 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 | 2023-11-24 |
6 | 特開2021-162323 | 疾患鑑別支援方法、疾患鑑別支援装置、及び疾患鑑別支援コンピュータプログラム | 2023-09-01 |
7 | 特開2023-085971 | 籾摺プラント | 2023-07-31 |
8 | 特許7551603 | 自動化資産管理及び計画 | 2023-07-28 |
9 | 特表2021-528155 | マイクロニードルアレイを検査するための方法及び装置 | 2023-07-25 |
10 | 特表2022-543542 | 収穫された製品内における作物保護製品残留量の予測 | 2023-06-05 |
11 | 特表2022-530612 | クランプ解除ツール及び方法 | 2023-03-24 |
12 | 特開2022-092308 | 設計支援装置、設計支援方法及び設計支援プログラム | 2023-02-21 |
13 | 特開2022-092297 | 設計支援装置、設計支援方法及び設計支援プログラム | 2023-02-21 |
14 | 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 | 2022-12-27 |
15 | 特開2020-183876 | 特徴点認識システムおよびワーク処理システム | 2022-12-08 |
16 | 特許7410937 | インピーダンス測定の評価 | 2022-10-11 |
17 | 特許7217589 | 画像解析方法、画像解析装置、プログラム、学習済み深層学習アルゴリズムの製造方法および学習済み深層学習アルゴリズム | 2022-09-29 |
18 | 特許7252943 | 航空機のための対象物検出及び回避 | 2022-09-13 |
19 | 特許7180187 | 眼科画像処理装置、OCT装置、および眼科画像処理プログラム | 2022-02-04 |
20 | 特許7196908 | 眼科画像処理装置および眼科画像処理プログラム | 2022-01-26 |
Of the patent applications filed in the last 10 years (2014-11-01 to 2024-10-31), 37 patents/patent applications were protest more than once in the examination process of other patent applications. The mean of the number of protest is 1.5. The most protest patent is 特許6284991 "外部接点を有する双配向電子コネクタ" (5 times) , and the next most protest patent is 特開2016-035763 "国政選挙といった情勢調査が公表される場合に事前標本調査から母集団を推定する方法" (3 times) .
- | No. | Title | |
---|---|---|---|
1 | 特許6284991 | 外部接点を有する双配向電子コネクタ | 5 times |
2 | 特開2016-035763 | 国政選挙といった情勢調査が公表される場合に事前標本調査から母集団を推定する方法 | 3 times |
3 | 特許7038388 | 医療システム及びそれを実行する方法 | 3 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 | 3 times |
5 | 特開2015-164731 | 逆浸透膜分離装置 | 2 times |
In the last 3 years (2021-11-01 ~ 2024-10-31), there were 97 patents Inspection from third parties. The average number of Inspection is 1.2 times. The most recently Inspection patent is 特許6218220 "撮像画像処理装置および方法、撮像画像処理プログラム並びに撮像画像処理システム" (Inspection day 2024-09-11) , next is 特許7421740 "分析プログラム、情報処理装置、および分析方法" (Inspection day 2024-09-02) .
- | No. | Title | Inspection days |
---|---|---|---|
1 | 特許6218220 | 撮像画像処理装置および方法、撮像画像処理プログラム並びに撮像画像処理システム | 2024-09-11 |
2 | 特許7421740 | 分析プログラム、情報処理装置、および分析方法 | 2024-09-02 |
3 | 特開2020-113253 | ファイルのデジタル署名を検証するためのシステム及び方法 | 2024-08-20 |
4 | 特許4906505 | 癌診断のための発現プロフィールアルゴリズムおよび試験 | 2024-08-08 |
5 | 特開2023-168331 | 様々な用途のためのエネルギー送達の最適化 | 2024-08-07 |
6 | 特開2024-038396 | 画像解析方法、画像解析装置、およびプログラム | 2024-08-06 |
7 | 特開2023-110924 | 情報処理装置、情報処理プログラム、および情報処理方法 | 2024-07-23 |
8 | 特許7572534 | 金属鋳造システムにおけるイベントの感知 | 2024-07-01 |
9 | 特許7561736 | 放射線治療における解剖学的変化の自動定性的記述 | 2024-06-28 |
10 | 特表2021-531453 | 放射線の定量化のための新しい線量測定装置 | 2024-06-19 |
11 | 特開2022-105079 | 画像中の物体の視覚化および特徴づけのためのシステムおよび方法 | 2024-06-11 |
12 | 特開2023-169241 | 一酸化窒素供給システム | 2024-06-10 |
13 | 特開2022-091773 | 患者の呼吸回路の吸気肢部における呼吸ガス内に治療ガスを供給するシステムの作動方法 | 2024-06-10 |
14 | 特表2021-533302 | 真空ポンプ | 2024-04-23 |
15 | 特許7450994 | 時分割制御信号生成装置およびこれを用いたテレビ視聴制限解除方法 | 2024-04-06 |
16 | 特許7038388 | 医療システム及びそれを実行する方法 | 2024-04-01 |
17 | 特開2022-092297 | 設計支援装置、設計支援方法及び設計支援プログラム | 2024-02-15 |
18 | 特許7488287 | 動的な航空機ルーティング | 2024-02-08 |
19 | 特開2024-081150 | バッテリ状態に基づく車両の始動方法、それを実施するための電気車両、及びコンピュータプログラム | 2024-01-04 |
20 | 特開2024-086627 | ランダムビンピッキングの利用分野における残留物を削減するための自動グリッパフィンガチップ設計 | 2024-01-04 |
Of the patent applications filed in the last 10 years (2014-11-01 to 2024-10-31), 237 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6284991 "外部接点を有する双配向電子コネクタ" (8 times) , and the next most inspection patent is 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) .
- | No. | Title | |
---|---|---|---|
1 | 特許6284991 | 外部接点を有する双配向電子コネクタ | 8 times |
2 | 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 |
3 | 特許6878923 | 画像処理装置、画像処理システム、および画像処理プログラム | 4 times |
4 | 特表2018-505695 | 組換えウイルス粒子の特徴付けのための分析超遠心分離法 | 3 times |
5 | 特開2017-085591 | 通信装置及び通信方法、並びにコンピューター・プログラム | 3 times |
Of the patent applications filed in the last 10 years (2014-11-01 to 2024-10-31), 3,355 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" (85 times) , and the next most cited patent is 特許6653432 "気化装置のシステムおよび方法" (67 times) .
- | No. | Title | |
---|---|---|---|
1 | 特許6423402 | セキュリティ処理方法及びサーバ | 85 times |
2 | 特許6653432 | 気化装置のシステムおよび方法 | 67 times |
3 | 特許6453917 | 音声ウェイクアップ方法及び装置 | 63 times |
4 | 特許7060221 | 物品情報管理装置、システム、方法およびプログラム | 46 times |
5 | 特許6629762 | 画像内の生物学的構造及び/又はパターンの検出のためのシステム及び方法 | 44 times |
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