The Theme Code "数値制御技術" had 79 patent application filings in the most recent period (2023-01-01 to 2023-03-31). This is a significantly decreased of -40 filings (-33.6%) over 119 they had in the same period of the previous year (2022-01-01 to 2022-03-31).
The highest number of filings in 2019 with 645 cases, and their lowest number in 2022 with 350 cases.
The mean of the number of filings over the last 5 years (2018 to 2023, 2,578 cases in total) is 430, and the median is 416. 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 | 430 patents |
Std Dev | 163 |
COV | 0.4 |
The number of filings has been decreasing for the last 3 years (2020 to 2023).
Year | Cases | YOY |
---|---|---|
2022 year | 350 cases | -24.57 % |
2021 year | 464 cases | +25.75 % |
2020 year | 369 cases | -42.8 % |
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 数値制御技術[3C269] 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 数値制御技術, 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 数値制御技術 over the last 20 years (JP) are shown below.
The change in the number of patents/patent applications is the most basic index in patent analysis. By examining the change in the number of patents/patent applications, you can see the status of technological development and R&D focus for each company or technology. It should be noted that since there is a one and a half year lag between the filing and the laying open of patent applications, it is not possible to analyze the situation more recently than one and half years prior to the present.
In this report, you can only see the change in the number of patents/patent applications by company or technology, whereas Patent Integration allows you to quickly compare the number of patent applications with your competitors in each technical field by cross-referencing with other keywords and patent classifications.
Patent landscaping is a visualization of the distribution of patent filings (application focus areas) for each technical keyword. Mountains and islands indicated by heatmap contours represent clusters of patent applications filed, and red areas on the heatmap indicate many patent filings relating to the keyword.
The patent landscape for 数値制御技術 gives an intuitive understanding of what patent filings they have made and what technical position is to be established. By selecting filing year checkboxes and filtering, you can track their past filing trends (what technical area they have focused on).
By selecting applicant/patent holder checkboxes and filtering, you can visually grasp the technical areas of the filings for each applicant and the partnerships or alliances formed. Please use it as a guide for patent analysis and IP landscaping.
In addition, by visually representing the patent data in this manner, you can convincingly show the technical positions of your company and its competitors to your management and business strategists in order to formulate management strategies and business strategies.
In Patent Integration, you can check the specifics of a patent filing by clicking anywhere on the patent landscape screen. You can also quickly check the position of each applicant for each technical field by cross-referencing with other keywords and patent classifications. You can use it as a guide when considering hypotheses about each company's IP strategy on the IP Landscape. You can also use it for higher-grade intellectual property activities. It has reasonable pricing and a simple user interface that is easy for beginners to handle.
The following is a list of words (characteristic terms) often used in 数値制御技術 patent applications. Characteristic terms with a higher importance are used in more patents/patent applications.
This patent analysis report was created for a patent search set of 4,399 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 patent information of the higher applicant in the technical theme 数値制御技術 is shown below. By comparing the number of patents of each company, you can check the research and development status of each company's past and present technical themes and the position of each company in the technical theme.
Comparing the number of applications of each company, ファナック株式会社 has the highest number of joint applications in the last in the last 3 years (2022 to 2024) with 57 cases, followed by 三菱電機株式会社 with 42 cases.
Name | Cases |
---|---|
ファナック株式会社 | 57 cases |
三菱電機株式会社 | 42 cases |
ブラザー工業株式会社 | 35 cases |
DMG森精機株式会社 | 31 cases |
オークマ株式会社 | 30 cases |
株式会社アマダ | 10 cases |
株式会社日立製作所 | 8 cases |
トヨタ自動車株式会社 | 5 cases |
株式会社安川電機 | 4 cases |
Comparing the number of applications of each company, ファナック株式会社 has the highest number of joint applications in the last for the target period (2014 to 2024) with 1,369 cases, followed by 三菱電機株式会社 with 255 cases.
Name | Cases |
---|---|
ファナック株式会社 | 1,369 cases |
三菱電機株式会社 | 255 cases |
ブラザー工業株式会社 | 200 cases |
DMG森精機株式会社 | 198 cases |
オークマ株式会社 | 153 cases |
株式会社アマダ | 58 cases |
株式会社日立製作所 | 42 cases |
株式会社安川電機 | 36 cases |
トヨタ自動車株式会社 | 34 cases |
株式会社東芝 | 9 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 patent information of the higher applicant in the technical theme 数値制御技術 is shown below. By comparing the number of patents of each company, you can check the research and development status of each company's past and present technical themes and the position of each company in the technical theme.
among the top coapplicants, ファナック株式会社 has the highest number of joint applications in the last in the last 3 years (2022 to 2024) with 57 cases, followed by 三菱電機株式会社 with 42 cases.
among the top coapplicants, ファナック株式会社 has the highest number of joint applications in the last for the target period (2014 to 2024) with 1,369 cases, followed by 三菱電機株式会社 with 255 cases.
Below is a ranking of the number of JP patent applications by 数値制御技術’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 数値制御技術’s top 7 coapplicants over the last 20 years.
数値制御技術 filed 1,369 joint applications with ファナック株式会社 for the analysis period (2014 to 2024).
The mean of the number of filings over the last 5 years (2018 to 2023, 693 cases in total) is 116, and the median is 103. The coefficient of variation (standard deviation/mean) is 0.8, and there have been relatively large fluctuations in the number of filings from year to year.
The number of filings has been decreasing for the last 3 years (2020 to 2023). The highest number of filings in 2019 with 240 cases, and their lowest number in 2020 with 26 cases.
Index | Value |
---|---|
Average | 116 patents |
Std Dev | 91.0 |
COV | 0.8 |
Year | Cases | YOY |
---|---|---|
2022 year | 40 cases | -75.9 % |
2021 year | 166 cases | +538 % |
2020 year | 26 cases | -89.2 % |
数値制御技術 filed 255 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, 150 cases in total) is 25.0, and the median is 23.0. 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 2018 with 36 cases, and their lowest number in 2015 with 16 cases.
Index | Value |
---|---|
Average | 25.0 patents |
Std Dev | 5.9 |
COV | 0.24 |
Year | Cases | YOY |
---|---|---|
2022 year | 19 cases | -13.64 % |
2021 year | 22 cases | -24.14 % |
2020 year | 29 cases | +20.83 % |
数値制御技術 filed 153 joint applications with オークマ株式会社 for the analysis period (2014 to 2024).
The mean of the number of filings over the last 5 years (2018 to 2023, 95 cases in total) is 15.8, and the median is 15.0. 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 increasing for the last 3 years (2020 to 2023). The highest number of filings in 2018 with 24 cases, and their lowest number in 2020 with 11 cases.
Index | Value |
---|---|
Average | 15.8 patents |
Std Dev | 5.4 |
COV | 0.3 |
Year | Cases | YOY |
---|---|---|
2022 year | 21 cases | +23.53 % |
2021 year | 17 cases | +54.5 % |
2020 year | 11 cases | -15.38 % |
数値制御技術 filed 36 joint applications with 株式会社安川電機 for the analysis period (2014 to 2024).
The mean of the number of filings over the last 5 years (2018 to 2023, 21 cases in total) is 3.5, and the median is 3.5. 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 2017 with 7 cases, and their lowest number in 2016 with 0 cases.
Index | Value |
---|---|
Average | 3.5 patents |
Std Dev | 1.9 |
COV | 0.5 |
Year | Cases | YOY |
---|---|---|
2022 year | 4 cases | +33.3 % |
2021 year | 3 cases | 0 |
2020 year | 3 cases | -50.0 % |
数値制御技術 filed 42 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, 36 cases in total) is 6.0, and the median is 6.5. 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 9 cases, and their lowest number in 2017 with 1 cases.
Index | Value |
---|---|
Average | 6.0 patents |
Std Dev | 2.6 |
COV | 0.4 |
Year | Cases | YOY |
---|---|---|
2022 year | 7 cases | +40.0 % |
2021 year | 5 cases | -16.67 % |
2020 year | 6 cases | -25.00 % |
The following shows JP patents held by 数値制御技術 that have had an invalidation trial against them demanded or an opposition filed against them by a third party, and 数値制御技術’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 数値制御技術 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 (2021-12-01 ~ 2024-11-30), there were 11 patents Opposition from third parties. The average number of Opposition is 1.0 times. The most recently Opposition patent 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) , next is 特許7462849 "数値制御装置" (Opposition day 2024-10-03) .
- | No. | Title | Opposition days |
---|---|---|---|
1 | 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 |
2 | 特許7462849 | 数値制御装置 | 2024-10-03 |
3 | 特許7448647 | ロボット制御装置及びロボットシステム | 2024-09-11 |
4 | 特許7487468 | 数値制御装置、数値制御方法、及び記憶媒体 | 2024-07-26 |
5 | 特許7423030 | 工具交換時自動補正機能を備えた工作機械 | 2024-07-17 |
6 | 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 |
7 | 特許7199616 | 加工結果評価装置、加工結果評価方法、加工条件決定装置、および加工条件決定方法 | 2023-06-22 |
8 | 特許7158862 | 情報処理方法及び情報処理装置 | 2023-04-20 |
9 | 特許7104121 | 故障予知装置、故障予知システム及び故障予知方法 | 2023-01-17 |
10 | 特許7088872 | 評価用ワークおよび加工プログラム | 2022-12-14 |
In the last 3 years (2021-12-01 ~ 2024-11-30), there were 6 patents Protest from third parties. The average number of Protest is 1.0 times. The most recently Protest patent is 特開2023-000009 "工作機械のための振動切削条件設定装置" (Protest day 2024-10-21) , next is 特開2023-045130 "工作機械、異常検出システム及び異常検出方法" (Protest day 2024-10-10) .
- | No. | Title | Protest days |
---|---|---|---|
1 | 特開2023-000009 | 工作機械のための振動切削条件設定装置 | 2024-10-21 |
2 | 特開2023-045130 | 工作機械、異常検出システム及び異常検出方法 | 2024-10-10 |
3 | 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 |
4 | 特許7454381 | 工作機械の工具主軸位置補正装置 | 2023-05-26 |
5 | 特開2021-137898 | ロボットシステム | 2023-03-17 |
6 | 特許7184595 | 工作機械システム | 2022-03-01 |
Of the patent applications filed in the last 10 years (2014-12-01 to 2024-11-30), 25 patents/patent applications were protest more than once in the examination process of other patent applications. The mean of the number of protest is 1.1. 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 特開2017-193018 "工程異常検知システム、及び工程異常検知方法" (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 | 特開2017-193018 | 工程異常検知システム、及び工程異常検知方法 | 2 times |
3 | 特開2019-040264 | 工作機械とロボットの連携システム | 1 times |
4 | 特許6748140 | 工作機械の制御装置 | 1 times |
5 | 特許7083232 | 自動研削装置 | 1 times |
In the last 3 years (2021-12-01 ~ 2024-11-30), there were 13 patents Inspection from third parties. The average number of Inspection is 1.1 times. The most recently Inspection patent is 特開2023-045130 "工作機械、異常検出システム及び異常検出方法" (Inspection day 2024-11-15) , next is 特開2023-000009 "工作機械のための振動切削条件設定装置" (Inspection day 2024-10-30) .
- | No. | Title | Inspection days |
---|---|---|---|
1 | 特開2023-045130 | 工作機械、異常検出システム及び異常検出方法 | 2024-11-15 |
2 | 特開2023-000009 | 工作機械のための振動切削条件設定装置 | 2024-10-30 |
3 | 特開2024-156614 | 消費者製品の製造または包装のための自動機械の少なくとも一部の動作のシミュレート方法 | 2024-07-05 |
4 | 特許7398830 | ピックアンドプレイスシステムのための深層強化学習装置及び方法 | 2024-06-28 |
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 | 2023-11-28 |
6 | 特許7504231 | 2.5軸除去製造プロセスを容易にする工具サイズ制御を用いるコンピュータ支援ジェネレーティブ設計 | 2023-11-16 |
7 | 特開2022-030158 | 加工装置 | 2023-09-13 |
8 | 特許7454381 | 工作機械の工具主軸位置補正装置 | 2023-06-23 |
9 | 特開2021-137898 | ロボットシステム | 2023-03-23 |
10 | 特許7304315 | 工作機械及びこの工作機械の制御装置 | 2023-03-14 |
11 | 特開2023-054791 | インテリジェントな明確経路 | 2022-11-07 |
12 | 特許7145057 | デジタルコンピュータを用いたハイブリッド製造のためのプロセスプランを構築するためのシステムおよび方法 | 2022-07-15 |
13 | 特許7184595 | 工作機械システム | 2022-03-14 |
Of the patent applications filed in the last 10 years (2014-12-01 to 2024-11-30), 42 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6721307 "複数軸を備えた工作機械の制御装置" (3 times) , and the next most inspection patent is 特許6725471 "観測装置、観測方法及び観測プログラム" (2 times) .
- | No. | Title | |
---|---|---|---|
1 | 特許6721307 | 複数軸を備えた工作機械の制御装置 | 3 times |
2 | 特許6725471 | 観測装置、観測方法及び観測プログラム | 2 times |
3 | 特許6669714 | 教示操作盤およびロボット制御システム | 2 times |
4 | 特開2017-193018 | 工程異常検知システム、及び工程異常検知方法 | 2 times |
5 | 特許6564412 | 機械学習装置及び熱変位補正装置 | 2 times |
Of the patent applications filed in the last 10 years (2014-12-01 to 2024-11-30), 1,423 patents/patent applications were cited more than once in the examination process of other patent applications. The mean of the number of cited is 3.2. The most cited patent is 特許6625914 "機械学習装置、レーザ加工システムおよび機械学習方法" (55 times) , and the next most cited patent is 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) .
- | No. | Title | |
---|---|---|---|
1 | 特許6625914 | 機械学習装置、レーザ加工システムおよび機械学習方法 | 55 times |
2 | 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 |
3 | 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 | 43 times |
4 | 特許6487475 | 工具状態推定装置及び工作機械 | 33 times |
5 | 特許6156566 | 診断装置、診断方法、プログラムおよび診断システム | 29 times |
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