The Technical Field "データ収集" had 207 patent application filings in the most recent period (2023-01-01 to 2023-02-28). This is a significantly decreased of -56 filings (-21.3%) over 263 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 " データコレクション ", " データーコレクション ", " データー収録 ", " データー収集 ", " データー取得 ", " データー捕捉 ", " データー採取 ", " データー獲得 ", " データ収録 ", " データ取得 ", " データ捕捉 ", " データ採取 ", " データ獲得 " in the search set.
The highest number of filings in 2019 with 2,275 cases, and their lowest number in 2015 with 1,563 cases.
The mean of the number of filings over the last 5 years (2018 to 2023, 10,872 cases in total) is 1,812, and the median is 1,996. 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.
Index | Value |
---|---|
Average | 1,812 patents |
Std Dev | 544 |
COV | 0.3 |
Year | Cases | YOY |
---|---|---|
2022 year | 1,747 cases | -8.82 % |
2021 year | 1,916 cases | -12.87 % |
2020 year | 2,199 cases | -3.34 % |
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 データ収集 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 データ収集, 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 データ収集 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 17,867 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 データ収集 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, 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 167 cases, followed by キヤノン株式会社 with 55 cases.
Name | Cases |
---|---|
三菱電機株式会社 | 167 cases |
キヤノン株式会社 | 55 cases |
株式会社日立製作所 | 50 cases |
日本電気株式会社 | 36 cases |
キヤノンメディカルシステムズ株式会社 | 31 cases |
セイコーエプソン株式会社 | 24 cases |
株式会社東芝 | 23 cases |
ブラザー工業株式会社 | 21 cases |
株式会社リコー | 16 cases |
富士通株式会社 | 5 cases |
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 for the target period (2014 to 2024) with 876 cases, followed by キヤノン株式会社 with 406 cases.
Name | Cases |
---|---|
三菱電機株式会社 | 876 cases |
キヤノン株式会社 | 406 cases |
日本電気株式会社 | 366 cases |
株式会社日立製作所 | 366 cases |
ブラザー工業株式会社 | 284 cases |
株式会社東芝 | 274 cases |
株式会社リコー | 247 cases |
キヤノンメディカルシステムズ株式会社 | 244 cases |
セイコーエプソン株式会社 | 171 cases |
富士通株式会社 | 133 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 データ収集 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, 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 167 cases, followed by キヤノン株式会社 with 55 cases.
Among the top coapplicants, 三菱電機株式会社 has the highest number of joint applications in the last for the target period (2014 to 2024) with 876 cases, followed by キヤノン株式会社 with 406 cases.
Name | Cases |
---|---|
三菱電機株式会社 | 876 cases |
キヤノン株式会社 | 406 cases |
日本電気株式会社 | 366 cases |
株式会社日立製作所 | 366 cases |
株式会社東芝 | 274 cases |
セイコーエプソン株式会社 | 171 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 データ収集’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 データ収集’s top 7 coapplicants over the last 20 years.
データ収集 filed 274 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, 134 cases in total) is 22.3, and the median is 26.0. 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 decreasing for the last 3 years (2020 to 2023). The highest number of filings in 2015 with 38 cases, and their lowest number in 2022 with 21 cases.
Index | Value |
---|---|
Average | 22.3 patents |
Std Dev | 9.6 |
COV | 0.4 |
Year | Cases | YOY |
---|---|---|
2022 year | 21 cases | -25.00 % |
2021 year | 28 cases | +16.67 % |
2020 year | 24 cases | -14.29 % |
データ収集 filed 876 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, 633 cases in total) is 106, and the median is 106. 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 highest number of filings in 2020 with 161 cases, and their lowest number in 2016 with 56 cases.
Index | Value |
---|---|
Average | 106 patents |
Std Dev | 34.5 |
COV | 0.3 |
Year | Cases | YOY |
---|---|---|
2022 year | 117 cases | -4.10 % |
2021 year | 122 cases | -24.22 % |
2020 year | 161 cases | +76.9 % |
データ収集 filed 171 joint applications with セイコーエプソン株式会社 for the analysis period (2014 to 2024).
The mean of the number of filings over the last 5 years (2018 to 2023, 73 cases in total) is 12.2, and the median is 12.0. 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 2014 with 33 cases, and their lowest number in 2020 with 8 cases.
Index | Value |
---|---|
Average | 12.2 patents |
Std Dev | 3.3 |
COV | 0.27 |
Year | Cases | YOY |
---|---|---|
2022 year | 15 cases | +50.0 % |
2021 year | 10 cases | +25.00 % |
2020 year | 8 cases | -42.9 % |
データ収集 filed 366 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, 236 cases in total) is 39.3, and the median is 35.5. 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 highest number of filings in 2020 with 74 cases, and their lowest number in 2017 with 27 cases.
Index | Value |
---|---|
Average | 39.3 patents |
Std Dev | 20.9 |
COV | 0.5 |
Year | Cases | YOY |
---|---|---|
2022 year | 28 cases | -12.50 % |
2021 year | 32 cases | -56.8 % |
2020 year | 74 cases | +34.5 % |
データ収集 filed 366 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, 216 cases in total) is 36.0, and the median is 42.5. 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 decreasing for the last 3 years (2020 to 2023). The highest number of filings in 2018 with 46 cases, and their lowest number in 2014 with 33 cases.
Index | Value |
---|---|
Average | 36.0 patents |
Std Dev | 14.9 |
COV | 0.4 |
Year | Cases | YOY |
---|---|---|
2022 year | 46 cases | +31.4 % |
2021 year | 35 cases | -23.91 % |
2020 year | 46 cases | +17.95 % |
The following shows JP patents held by データ収集 that have had an invalidation trial against them demanded or an opposition filed against them by a third party, and データ収集’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 データ収集 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.
Of the patent applications filed in the last 10 years (2014-11-01 to 2024-10-31), 1 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6174725 "肌状態測定分析情報管理システムおよび肌状態測定分析情報管理方法" (1 times) .
- | No. | Title | |
---|---|---|---|
1 | 特許6174725 | 肌状態測定分析情報管理システムおよび肌状態測定分析情報管理方法 | 1 times |
In the last 3 years (2021-11-01 ~ 2024-10-31), there were 20 patents Opposition from third parties. The average number of Opposition is 1.0 times. The most recently Opposition patent is 特許7448937 "医薬品製造システム、及び医薬品製造方法" (Opposition day 2024-07-26) , next is 特許7372020 "動画生成配信処理装置、動画生成配信方法、および動画生成配信プログラム" (Opposition day 2024-04-09) .
- | No. | Title | Opposition days |
---|---|---|---|
1 | 特許7448937 | 医薬品製造システム、及び医薬品製造方法 | 2024-07-26 |
2 | 特許7372020 | 動画生成配信処理装置、動画生成配信方法、および動画生成配信プログラム | 2024-04-09 |
3 | 特許7330347 | データ収集機能を備えた決算開示書類作成システム及びプログラム | 2024-02-21 |
4 | 特許7320693 | 電子小黒板出力システム、判定結果出力方法及びプログラム | 2024-01-19 |
5 | 特許7309103 | 合否判定システム、合否判定方法及びプログラム | 2024-01-05 |
6 | 特許7316483 | 判定結果出力システム、判定結果出力方法及びプログラム | 2024-01-05 |
7 | 特許7197953 | 情報処理システム、情報処理方法及びプログラム | 2023-06-28 |
8 | 特許7197952 | 情報処理システム、情報処理方法及びプログラム | 2023-06-28 |
9 | 特許7192513 | 管理装置 | 2023-06-19 |
10 | 特許7154012 | 画像処理プログラム、画像処理装置、および画像処理方法 | 2023-04-14 |
In the last 3 years (2021-11-01 ~ 2024-10-31), there were 35 patents Protest from third parties. The average number of Protest is 1.2 times. The most recently Protest patent is 特開2022-031000 "生体情報モニタリングシステム、生体情報モニタリング方法及びプログラム" (Protest day 2024-09-09) , next is 特開2023-050804 "路面判定装置、及び、路面判定方法" (Protest day 2024-09-07) .
- | No. | Title | Protest days |
---|---|---|---|
1 | 特開2022-031000 | 生体情報モニタリングシステム、生体情報モニタリング方法及びプログラム | 2024-09-09 |
2 | 特開2023-050804 | 路面判定装置、及び、路面判定方法 | 2024-09-07 |
3 | 特開2022-179012 | 金属疲労評価装置、該方法および該プログラム | 2024-09-04 |
4 | 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 |
5 | 特開2023-050535 | 印刷機の故障診断システムおよび方法、プログラム、印刷管理装置、リモートモニタリングシステム | 2024-06-06 |
6 | 特開2022-147839 | 学習モデル生成方法、情報処理装置、予測方法、情報処理プログラム、および、化粧品の製造方法 | 2024-04-15 |
7 | 特開2021-100208 | 記録装置、記録方法およびプログラム | 2024-02-29 |
8 | 特開2021-179784 | カードリーダ及び決済システム | 2024-01-18 |
9 | 特開2022-099480 | 卵分類システム | 2023-11-27 |
10 | 特開2022-108117 | 予測装置、学習装置、予測プログラム、及び学習プログラム | 2023-11-06 |
11 | 特許7540700 | 生体音取得支援システム | 2023-10-23 |
12 | 特開2020-119301 | 携帯通信端末、コンピュータプログラム、および駐車場管理システム | 2023-09-01 |
13 | 特許7447399 | 映像配信制御装置、映像配信制御方法、およびプログラム | 2023-07-25 |
14 | 特許7504075 | 生産機械の診断システムおよび方法、製函機、リモートモニタリングシステム | 2023-07-19 |
15 | 特許7457299 | 給水装置および管理システム | 2023-07-14 |
16 | 特許7415570 | 眼科撮影装置制御用プログラム、眼科撮影システム、および、眼科撮影装置 | 2023-07-04 |
17 | 特許7448937 | 医薬品製造システム、及び医薬品製造方法 | 2023-03-03 |
18 | 特許7440877 | 卵分類装置、卵分類方法及びコンピュータプログラム | 2023-03-01 |
19 | 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 |
20 | 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 |
Of the patent applications filed in the last 10 years (2014-11-01 to 2024-10-31), 73 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 特許6725471 "観測装置、観測方法及び観測プログラム" (3 times) , and the next most protest patent is 特許7127666 "光コヒーレンストモグラフィ装置、および光コヒーレンストモグラフィ演算プログラム" (2 times) .
- | No. | Title | |
---|---|---|---|
1 | 特許6725471 | 観測装置、観測方法及び観測プログラム | 3 times |
2 | 特許7127666 | 光コヒーレンストモグラフィ装置、および光コヒーレンストモグラフィ演算プログラム | 2 times |
3 | 再公表2019/004305 | 農業支援システム、農業支援装置及び農業支援方法 | 2 times |
4 | 特許7457299 | 給水装置および管理システム | 2 times |
5 | 特許6997408 | 画像撮影装置および画像撮影制御プログラム | 2 times |
In the last 3 years (2021-11-01 ~ 2024-10-31), there were 61 patents Inspection from third parties. The average number of Inspection is 1.2 times. The most recently Inspection patent is 特開2023-050804 "路面判定装置、及び、路面判定方法" (Inspection day 2024-09-17) , next is 特開2023-114371 "作業機械の監視システム及び作業機械の監視方法" (Inspection day 2024-09-12) .
- | No. | Title | Inspection days |
---|---|---|---|
1 | 特開2023-050804 | 路面判定装置、及び、路面判定方法 | 2024-09-17 |
2 | 特開2023-114371 | 作業機械の監視システム及び作業機械の監視方法 | 2024-09-12 |
3 | 特開2022-179012 | 金属疲労評価装置、該方法および該プログラム | 2024-09-10 |
4 | 特開2024-115452 | システム、移動体、データ収集システム、方法及びプログラム | 2024-09-04 |
5 | 特開2017-123061 | 出来形の可視化システム及び出来形の可視化データ生成プログラム | 2024-09-03 |
6 | 特許5806423 | 3次元モデル表示システム、3次元モデル表示方法、及び3次元モデル表示用プログラム | 2024-09-03 |
7 | 特開2023-013058 | 機械学習装置、生産計画策定装置、及び、推論装置 | 2024-08-26 |
8 | 特許7448937 | 医薬品製造システム、及び医薬品製造方法 | 2024-08-22 |
9 | 特開2023-050535 | 印刷機の故障診断システムおよび方法、プログラム、印刷管理装置、リモートモニタリングシステム | 2024-07-02 |
10 | 特開2022-147839 | 学習モデル生成方法、情報処理装置、予測方法、情報処理プログラム、および、化粧品の製造方法 | 2024-06-03 |
11 | 特許5812451 | 3Dデータ表示システム | 2024-04-10 |
12 | 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 |
13 | 特開2024-114382 | 溝形状測定方法、溝形状測定装置、加工装置の制御方法、及び加工装置 | 2023-12-27 |
14 | 特開2024-068195 | アース基準線 | 2023-12-06 |
15 | 特開2022-108117 | 予測装置、学習装置、予測プログラム、及び学習プログラム | 2023-11-30 |
16 | 特開2022-099480 | 卵分類システム | 2023-11-29 |
17 | 特許7413275 | 車両データの取得およびアクセスシステム、および方法 | 2023-11-17 |
18 | 特許7506201 | 情報管理システム | 2023-11-17 |
19 | 特開2020-119301 | 携帯通信端末、コンピュータプログラム、および駐車場管理システム | 2023-10-02 |
20 | 特許7504075 | 生産機械の診断システムおよび方法、製函機、リモートモニタリングシステム | 2023-08-16 |
Of the patent applications filed in the last 10 years (2014-11-01 to 2024-10-31), 156 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7440877 "卵分類装置、卵分類方法及びコンピュータプログラム" (4 times) , and the next most inspection patent is 特許6997408 "画像撮影装置および画像撮影制御プログラム" (3 times) .
- | No. | Title | |
---|---|---|---|
1 | 特許7440877 | 卵分類装置、卵分類方法及びコンピュータプログラム | 4 times |
2 | 特許6997408 | 画像撮影装置および画像撮影制御プログラム | 3 times |
3 | 特許7448937 | 医薬品製造システム、及び医薬品製造方法 | 3 times |
4 | 特開2016-179527 | ロボットの異常診断を行う機能を有するロボット制御装置 | 3 times |
5 | 特開2022-147839 | 学習モデル生成方法、情報処理装置、予測方法、情報処理プログラム、および、化粧品の製造方法 | 3 times |
Of the patent applications filed in the last 10 years (2014-11-01 to 2024-10-31), 4,490 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7319542 "評価装置" (62 times) , and the next most cited patent is 特許6775757 "機能改善支援システムおよび機能改善支援装置" (58 times) .
- | No. | Title | |
---|---|---|---|
1 | 特許7319542 | 評価装置 | 62 times |
2 | 特許6775757 | 機能改善支援システムおよび機能改善支援装置 | 58 times |
3 | 特許6541365 | 姿勢検出装置及びデータ取得装置 | 53 times |
4 | 特許6148316 | 故障条件を学習する機械学習方法及び機械学習装置、並びに該機械学習装置を備えた故障予知装置及び故障予知システム | 45 times |
5 | 特許6140331 | 主軸または主軸を駆動するモータの故障予知を学習する機械学習装置および機械学習方法、並びに、機械学習装置を備えた故障予知装置および故障予知システム | 42 times |
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