The Technical Field "データ蓄積" had 212 patent application filings in the most recent period (2023-01-01 to 2023-04-30). This is a significantly decreased of -106 filings (-33.3%) over 318 they had in the same period of the previous year (2022-01-01 to 2022-04-30). This report also includes technical terms related to " データストレイジ ", " データストレージ ", " データー記憶 ", " データ保存 ", " データ格納 ", " データ記憶 ", " データ貯蔵 ", " データ集積 " in the search set.
The highest number of filings in 2015 with 1,860 cases, and their lowest number in 2023 with 358 cases.
The mean of the number of filings over the last 5 years (2019 to 2024, 4,954 cases in total) is 826, and the median is 978. 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.
Index | Value |
---|---|
Average | 826 patents |
Std Dev | 493 |
COV | 0.6 |
Year | Cases | YOY |
---|---|---|
2023 year | 358 cases | -58.2 % |
2022 year | 857 cases | -22.09 % |
2021 year | 1,100 cases | -0.09 % |
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 データ蓄積 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 データ蓄積, 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 データ蓄積 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 11,749 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 データ蓄積 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 (2023 to 2025) with 18 cases, followed by 株式会社日立製作所 with 12 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 (2015 to 2025) with 394 cases, followed by 株式会社日立製作所 with 251 cases.
Name | Cases |
---|---|
三菱電機株式会社 | 394 cases |
株式会社日立製作所 | 251 cases |
株式会社東芝 | 222 cases |
株式会社リコー | 198 cases |
日本電気株式会社 | 184 cases |
株式会社三共 | 183 cases |
富士通株式会社 | 151 cases |
キヤノン株式会社 | 108 cases |
シャープ株式会社 | 75 cases |
カシオ計算機株式会社 | 66 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 データ蓄積 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 (2023 to 2025) with 18 cases, followed by 株式会社日立製作所 with 12 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 (2015 to 2025) with 394 cases, followed by 株式会社日立製作所 with 251 cases.
Below is a ranking of the number of JP patent applications by データ蓄積’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 データ蓄積’s top 7 coapplicants over the last 20 years.
データ蓄積 filed 222 joint applications with 株式会社東芝 for the analysis period (2015 to 2025).
The mean of the number of filings over the last 5 years (2019 to 2024, 74 cases in total) is 12.3, and the median is 12.0. 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 highest number of filings in 2015 with 45 cases, and their lowest number in 2023 with 9 cases.
Index | Value |
---|---|
Average | 12.3 patents |
Std Dev | 7.2 |
COV | 0.6 |
Year | Cases | YOY |
---|---|---|
2023 year | 9 cases | -30.8 % |
2022 year | 13 cases | -27.78 % |
2021 year | 18 cases | -21.74 % |
データ蓄積 filed 184 joint applications with 日本電気株式会社 for the analysis period (2015 to 2025).
The mean of the number of filings over the last 5 years (2019 to 2024, 51 cases in total) is 8.5, and the median is 5.0. The coefficient of variation (standard deviation/mean) is 1.0, 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 57 cases, and their lowest number in 2022 with 3 cases.
Index | Value |
---|---|
Average | 8.5 patents |
Std Dev | 8.6 |
COV | 1.0 |
Year | Cases | YOY |
---|---|---|
2023 year | 4 cases | +33.3 % |
2022 year | 3 cases | -50.0 % |
2021 year | 6 cases | -50.0 % |
データ蓄積 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 (2015 to 2025).
The mean of the number of filings over the last 10 years (2014 to 2024, 4 cases in total) is 0.4, and the median is 0. The coefficient of variation (standard deviation/mean) is 1.8, and there have been very big fluctuations in the number of filings from year to year.
The highest number of filings in 2018 with 2 cases, and their lowest number in 2023 with 0 cases.
Index | Value |
---|---|
Average | 0.4 patents |
Std Dev | 0.6 |
COV | 1.8 |
Year | Cases | YOY |
---|---|---|
2019 year | 1 cases | -50.0 % |
2018 year | 2 cases | - |
2017 year | 0 cases | - |
データ蓄積 filed 251 joint applications with 株式会社日立製作所 for the analysis period (2015 to 2025).
The mean of the number of filings over the last 5 years (2019 to 2024, 129 cases in total) is 21.5, and the median is 27.5. 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 2015 with 40 cases, and their lowest number in 2023 with 12 cases.
Index | Value |
---|---|
Average | 21.5 patents |
Std Dev | 11.6 |
COV | 0.5 |
Year | Cases | YOY |
---|---|---|
2023 year | 12 cases | -53.8 % |
2022 year | 26 cases | -18.75 % |
2021 year | 32 cases | +10.34 % |
データ蓄積 filed 151 joint applications with 富士通株式会社 for the analysis period (2015 to 2025).
The mean of the number of filings over the last 5 years (2019 to 2024, 24 cases in total) is 4.0, and the median is 4.0. 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 2015 with 45 cases, and their lowest number in 2023 with 2 cases.
Index | Value |
---|---|
Average | 4.0 patents |
Std Dev | 2.8 |
COV | 0.7 |
Year | Cases | YOY |
---|---|---|
2023 year | 2 cases | -50.0 % |
2022 year | 4 cases | -20.00 % |
2021 year | 5 cases | +25.00 % |
The following shows JP patents held by データ蓄積 that have had an invalidation trial against them demanded or an opposition filed against them by a third party, and データ蓄積’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 データ蓄積 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 17 patents Opposition from third parties. The average number of Opposition is 1.0 times. The most recently Opposition patent is 特許7448647 "ロボット制御装置及びロボットシステム" (Opposition day 2024-09-11) , next 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) .
- | No. | Title | Opposition days |
---|---|---|---|
1 | 特許7448647 | ロボット制御装置及びロボットシステム | 2024-09-11 |
2 | 特許7448937 | 医薬品製造システム、及び医薬品製造方法 | 2024-07-26 |
3 | 特許7320953 | プログラマブルロジックコントローラ及びそのログデータ保存方法 | 2024-02-01 |
4 | 特許7230598 | 情報処理装置、暗号化データの復号方法及び電子機器 | 2023-09-01 |
5 | 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 |
6 | 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 |
7 | 特許7193526 | 浴室環境で使用するバイオモニタリング・デバイス、方法、及びシステム | 2023-06-20 |
8 | 特許7162709 | 曲げ加工時間算出装置、曲げ加工時間算出システムおよびプログラム | 2023-04-27 |
9 | 特許7083554 | 消防団活動支援装置及び消防団活動支援プログラム | 2022-12-13 |
10 | 特許7065755 | 物品検査装置 | 2022-10-12 |
In the last 3 years (2022-01-01 ~ 2024-12-31), there were 23 patents Protest from third parties. The average number of Protest is 1.0 times. The most recently Protest patent is 特開2023-025377 "特装車車両データサーバ" (Protest day 2024-12-13) , next is 特開2023-013058 "機械学習装置、生産計画策定装置、及び、推論装置" (Protest day 2024-08-09) .
- | No. | Title | Protest days |
---|---|---|---|
1 | 特開2023-025377 | 特装車車両データサーバ | 2024-12-13 |
2 | 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 |
3 | 特表2023-547067 | 遊技カード・カートリッジ | 2024-07-10 |
4 | 特許7529085 | 遊技機 | 2024-05-18 |
5 | 特許7609188 | 遊技機 | 2024-05-18 |
6 | 特開2023-115177 | 遊技機 | 2024-05-18 |
7 | 特開2022-084328 | 電力需要予測システム及び電力需要予測方法 | 2024-04-26 |
8 | 特許7494981 | 遊技機 | 2024-04-18 |
9 | 特開2022-151122 | 検査選別装置、検査装置及び選別装置 | 2024-01-29 |
10 | 特許5368741 | 遷移金属酸化膜を有する半導体素子およびその製造方法 | 2024-01-05 |
11 | 特許7456592 | 黒鉛球状化処理装置、学習装置、および、マグネシウム投入量の決定方法 | 2023-03-23 |
12 | 特許7588126 | 浴室環境で使用するバイオモニタリング・デバイス、方法、及びシステム | 2023-03-15 |
13 | 特許7448937 | 医薬品製造システム、及び医薬品製造方法 | 2023-03-03 |
14 | 特許7367467 | スイング解析システム、スイング解析プログラムおよびスイング解析方法 | 2022-12-08 |
15 | 特許7428488 | 医療システム及び生体情報検査装置 | 2022-10-12 |
16 | 特開2021-154097 | 遊技機 | 2022-08-08 |
17 | 特許7464221 | 遊技機 | 2022-08-08 |
18 | 特開2022-093720 | バックアップ方法、バックアップ装置およびバックアッププログラム | 2022-07-19 |
19 | 特許7343962 | 車載装置、車載装置用制御プログラム、及び車載装置用制御方法 | 2022-06-21 |
20 | 特許7351603 | 仮想空間シミュレーション装置、プログラム、及び確認書作成方法 | 2022-03-22 |
Of the patent applications filed in the last 10 years (2015-01-01 to 2024-12-31), 63 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6695102 "加工システム" (4 times) , and the next most protest patent is 特許6283630 "スロットマシン" (3 times) .
- | No. | Title | |
---|---|---|---|
1 | 特許6695102 | 加工システム | 4 times |
2 | 特許6283630 | スロットマシン | 3 times |
3 | 特開2018-019840 | 心電図監視システム及びこのシステムで使用する携帯型心電計 | 3 times |
4 | 特許6250010 | スロットマシン | 2 times |
5 | 特開2019-164350 | サーベイ(眺望)型ナビゲーションシステム | 2 times |
In the last 3 years (2022-01-01 ~ 2024-12-31), there were 51 patents Inspection from third parties. The average number of Inspection is 1.3 times. The most recently Inspection patent is 特開2024-036465 "アクティブ温度制御を備えた携帯型冷却器" (Inspection day 2024-12-24) , next is 特許5233749 "拠点サーバ装置、通信方法、通信制御プログラム、配信システム及び通信システム" (Inspection day 2024-09-13) .
- | No. | Title | Inspection days |
---|---|---|---|
1 | 特開2024-036465 | アクティブ温度制御を備えた携帯型冷却器 | 2024-12-24 |
2 | 特許5233749 | 拠点サーバ装置、通信方法、通信制御プログラム、配信システム及び通信システム | 2024-09-13 |
3 | 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 |
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 | 2024-08-26 |
5 | 特許7448937 | 医薬品製造システム、及び医薬品製造方法 | 2024-08-22 |
6 | 特表2023-547067 | 遊技カード・カートリッジ | 2024-07-11 |
7 | 特表2023-524265 | 日周曲線の追跡及び分析のためのシステム及び方法 | 2024-06-18 |
8 | 特許7529085 | 遊技機 | 2024-06-11 |
9 | 特許7603762 | 情報処理装置、プログラム、及び情報処理方法 | 2024-06-11 |
10 | 特許7609188 | 遊技機 | 2024-06-11 |
11 | 特開2023-115177 | 遊技機 | 2024-06-11 |
12 | 特開2022-084328 | 電力需要予測システム及び電力需要予測方法 | 2024-05-23 |
13 | 特許7494981 | 遊技機 | 2024-05-14 |
14 | 特開2024-174343 | エレベーターの表示装置 | 2024-05-08 |
15 | 特表2023-529745 | 処置および手術情報警告システム | 2024-03-08 |
16 | 特許5085853 | 積層構造における電気的な交差を提供する方法 | 2024-01-09 |
17 | 特開2022-132923 | ICカード | 2023-12-29 |
18 | 特許7576054 | 3次元空間内の姿勢推定 | 2023-12-05 |
19 | 特許6374977 | SSD部品及びSSD | 2023-09-07 |
20 | 特表2021-513146 | データの処理方法及び装置 | 2023-08-29 |
Of the patent applications filed in the last 10 years (2015-01-01 to 2024-12-31), 148 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6695102 "加工システム" (4 times) , and the next most inspection patent is 特許7448937 "医薬品製造システム、及び医薬品製造方法" (3 times) .
- | No. | Title | |
---|---|---|---|
1 | 特許6695102 | 加工システム | 4 times |
2 | 特許7448937 | 医薬品製造システム、及び医薬品製造方法 | 3 times |
3 | 特開2017-010038 | サーベイ(眺望)型ナビゲーションシステム | 3 times |
4 | 特許6128668 | コミュニケーション支援装置、方法、及びコンピュータプログラム | 3 times |
5 | 特開2018-019840 | 心電図監視システム及びこのシステムで使用する携帯型心電計 | 3 times |
Of the patent applications filed in the last 10 years (2015-01-01 to 2024-12-31), 3,497 patents/patent applications were cited more than once in the examination process of other patent applications. The mean of the number of cited is 3.3. The most cited patent is 特許6154863 "遊技機" (110 times) , and the next most cited patent is 特許6516508 "遊技機" (108 times) .
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