4C130 手術ロボット技術 Patent Trends
The Theme Code "手術ロボット技術" had 140 patent application filings in the publication-lag-adjusted comparison period (2024-01-01 to 2024-10-31). This is a significantly increased of +24 filings (20.7%) over 116 they had in the same period of the previous year (2023-01-01 to 2023-10-31).
The highest number of filings in 2022 with 227 cases, and their lowest number in 2024 with 144 cases (years covered: 2021, 2022, 2023, 2024).
The mean of the number of filings over the last 4 years (2021 to 2024, 712 cases in total) is 178, and the median is 170. The coefficient of variation (standard deviation/mean) is 0.19, and filings have been moderate fluctuations.
| Index | Value |
|---|---|
| Average | 178 patents |
| Std Dev | 34.2 |
| COV | 0.19 |
| Year | Cases | YOY |
|---|---|---|
| 2025 year | 17 cases | -88.2% |
| 2024 year | 144 cases | -2.70% |
| 2023 year | 148 cases | -34.8% |
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 手術ロボット技術[4C130] for the period of the last 6 years (2020 to 2025). You can compare the information in this report with the trends in your competitors’ patent filings and technologies.
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 手術ロボット技術, 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, and their top coapplicants (joint research partners, alliance partners). 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.
手術ロボット技術, Changes in the Number of JP Patents/Patent Applications
The changes in the number of patent filings of 手術ロボット技術 over the last 6 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.
手術ロボット技術 JP patent filing trend (unit: cases)
| Year | Cases |
|---|---|
| 2021 | 193 |
| 2022 | 227 |
| 2023 | 148 |
| 2024 | 144 |
| 2025 | 17 |
Search Set (Analysis Patents)
This patent analysis report was created for a patent search set of 729 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.
手術ロボット技術[4C130]
Recent publications
| Publication No. | Title | Bibliographic info | Theme |
|---|---|---|---|
| 1. JPA-HYO2026-534456 | テレスコープ型ロボット | ・Applicant ネプチューンメディカルインク ・Filing date 2024-09-30 ・Publication date 2026-10-16 | 4C130, 4C161 |
| 2. JPA-HYO2026-534436 | 調整可能なサージカルガイド、仮想計画、及びその外科用ナビゲーション | ・Applicant エンコアメディカルエルピー ・Filing date 2024-08-29 ・Publication date 2026-10-16 | 4C130, 4C160 |
| 3. JPA-HYO2026-534305 | 施術道具制御装置 | ・Applicant エルエヌロボティクスインコーポレイテッド ・Filing date 2024-05-24 ・Publication date 2026-10-14 | 4C130 |
| 4. JPA-HYO2026-534207 | 腹壁閉鎖に用いるシステム、装置および方法 | ・Applicant ティーエーエスメディカルインコーポレイテッド, トッツィマイケル ・Filing date 2024-09-18 ・Publication date 2026-10-14 | 4C130, 4C160 |
| 5. JPA-HYO2026-533911 | 3次元シーン表現からの手術室セマンティクスの弱教師あり生成 | ・Applicant シラグ・ゲーエムベーハー・インターナショナル ・Filing date 2024-10-04 ・Publication date 2026-10-13 | 4C130, 5L096 |
| 6. JPA2026-162781 | システムおよび制御方法 | ・Applicant シスメックス株式会社, 慶應義塾 ・Filing date 2025-03-27 ・Publication date 2026-10-09 | 4C130 |
| 7. JPP7894096 | ロボット, ロボット | ・Applicant DMG森精機株式会社, 公立大学法人奈良県立医科大学 ・Filing date 2025-03-26 ・Publication date 2026-10-08 | 3C707, 4C130, 4C601 |
| 8. JPA-HYO2026-533338 | 眼科用観察システム | ・Applicant アルコンインコーポレイティド ・Filing date 2024-09-10 ・Publication date 2026-10-06 | 4C130, 4C316 |
| 9. JPA2026-156004 | 学習モデル作成装置、支援装置、学習モデル作成方法、支援方法およびプログラム | ・Applicant 国立大学法人大分大学, 学校法人福岡工業大学 ・Filing date 2025-03-19 ・Publication date 2026-10-06 | 4C130, 4C161 |
| 10. JPA2026-154986 | ロボット手術用の外科器具及びロボット手術アセンブリ | ・Applicant メディカル・マイクロインストゥルメンツ・インコーポレイテッド ・Filing date 2021-12-17 ・Publication date 2026-10-05 | 4C130 |
| 11. JPA-HYO2026-532738 | 医用画像診断モダリティで使用するためのアクチュエータ及びそのシステム | ・Applicant マルチ-スケールメディカルロボティクスセンターリミテッド ・Filing date 2024-09-20 ・Publication date 2026-10-01 | 4C130, 4C160 |
| 12. JPA-HYO2026-532640 | 超音波手術ツール、組立可能な超音波手術ツールアセンブリ及び手術ロボットシステム | ・Applicant 北京術鋭機器人股ふん有限公司 ・Filing date 2024-02-21 ・Publication date 2026-09-30 | 4C130, 4C160 |
| 13. JPA-HYO2026-532375 | 支持構造を備えた医用装置及びその使用方法 | ・Applicant キヤノンユーエスエイインコーポレイテッド ・Filing date 2024-09-11 ・Publication date 2026-09-29 | 3C707, 4C130, 4C161 |
| 14. JPA-HYO2026-532432 | 磁気共鳴画像法で安全な操作システム:流体式ベローズアクチュエータ、センサ、機構、およびシステム | ・Applicant マルチ-スケールメディカルロボティクスセンターリミテッド ・Filing date 2024-09-15 ・Publication date 2026-09-29 | 4C130 |
| 15. JPA2026-151531 | ロボット手術システムおよびロボット手術システムの制御方法 | ・Applicant 株式会社メディカロイド ・Filing date 2025-03-13 ・Publication date 2026-09-29 | 4C130 |
Same industry / competition company information (JP)
{'ja': '技術テーマ「手術ロボット技術」における上位出願人の特許情報を以下に示します。各企業の特許件数を比較することで、過去および現在の各社の技術テーマにおける研究開発状況や、技術テーマにおける各社の位置付けを確認できます。なお、特許は出願から公開までに一年半のタイムラグがあるため、一年半より直近の状況については分析できない点に注意する必要があります。', 'en': "The patent information of the higher applicant in the technical theme 手術ロボット技術 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. Patents have a time lag of about 18 months from filing to publication."}
Trends in filing of joint patent applications in the last 3 years (2023 to 2025).
Comparing the number of applications of each company, 川崎重工業株式会社 has the highest number of joint applications in the last in the last 3 years (2023 to 2025) with 22 cases, followed by オーリスヘルスインコーポレイテッド with 18 cases.
| Name | Cases |
|---|---|
| 川崎重工業株式会社 | 22 cases |
| オーリスヘルスインコーポレイテッド | 18 cases |
| メディカル・マイクロインストゥルメンツ・インコーポレイテッド | 16 cases |
| 株式会社メディカロイド | 11 cases |
| リバーフィールド株式会社 | 5 cases |
| シーメンスヘルシニアーズエンドバスキュラーロボティクスインコーポレイテッド | 4 cases |
Trends in filing of joint patent applications for the target period (2020 to 2025).
Comparing the number of applications of each company, 川崎重工業株式会社 has the highest number of joint applications in the last for the target period (2020 to 2025) with 88 cases, followed by リバーフィールド株式会社 with 67 cases.
| Name | Cases |
|---|---|
| 川崎重工業株式会社 | 88 cases |
| リバーフィールド株式会社 | 67 cases |
| オーリスヘルスインコーポレイテッド | 66 cases |
| 株式会社メディカロイド | 61 cases |
| メディカル・マイクロインストゥルメンツ・インコーポレイテッド | 32 cases |
| シーメンスヘルシニアーズエンドバスキュラーロボティクスインコーポレイテッド | 31 cases |
Same industry / competition company JP patent filing ranking
佐藤総合特許事務所 代表弁理士
佐藤 寿のコメント
競合企業の長期推移をどう読むか
同業や競合企業の長期的な特許出願件数の推移から、長期トレンドと出願件数の山や谷を確認することができます。
解説の続きを読む
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 6 companies in the same industry over the past 6 years.
Competitor filing ranking
| Name | Cases |
|---|---|
| 川崎重工業株式会社 | 88 |
| リバーフィールド株式会社 | 67 |
| オーリスヘルスインコーポレイテッド | 66 |
| 株式会社メディカロイド | 61 |
| メディカル・マイクロインストゥルメンツ・インコーポレイテッド | 32 |
| シーメンスヘルシニアーズエンドバスキュラーロボティクスインコーポレイテッド | 31 |
Top company information (JP)
{'ja': '技術テーマ「手術ロボット技術」における上位出願人の特許情報を以下に示します。各企業の特許件数を比較することで、過去および現在の各社の技術テーマにおける研究開発状況や、技術テーマにおける各社の位置付けを確認できます。なお、特許は出願から公開までに一年半のタイムラグがあるため、一年半より直近の状況については分析できない点に注意する必要があります。', 'en': "The patent information of the higher applicant in the technical theme 手術ロボット技術 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. Patents have a time lag of about 18 months from filing to publication."}
佐藤総合特許事務所 代表弁理士
佐藤 寿のコメント
競合企業との比較のポイント
同業や競合企業が特許に注力している分野を知ることで、自社の戦略や製品開発の方向性を把握することができます。
解説の続きを読む
Trends in filing of joint patent applications in the last 3 years (2023 to 2025).
among the top coapplicants, 川崎重工業株式会社 has the highest number of joint applications in the last in the last 3 years (2023 to 2025) with 22 cases, followed by オーリスヘルスインコーポレイテッド with 18 cases.
| Name | Cases |
|---|---|
| 川崎重工業株式会社 | 22 cases |
| オーリスヘルスインコーポレイテッド | 18 cases |
| メディカル・マイクロインストゥルメンツ・インコーポレイテッド | 16 cases |
Trends in filing of joint patent applications for the target period (2020 to 2025).
among the top coapplicants, 川崎重工業株式会社 has the highest number of joint applications in the last for the target period (2020 to 2025) with 88 cases, followed by オーリスヘルスインコーポレイテッド with 66 cases.
| Name | Cases |
|---|---|
| 川崎重工業株式会社 | 88 cases |
| オーリスヘルスインコーポレイテッド | 66 cases |
| メディカル・マイクロインストゥルメンツ・インコーポレイテッド | 32 cases |
Top company JP patent filing ranking
Below is a ranking of the number of JP patent applications by 手術ロボット技術’s top 3 coapplicants over the last 6 years.
佐藤総合特許事務所 代表弁理士
佐藤 寿のコメント
競合企業の長期推移をどう読むか
同業や競合企業の長期的な特許出願件数の推移から、長期トレンドと出願件数の山や谷を確認することができます。
解説の続きを読む
Top co-applicant filing ranking
| Name | Cases |
|---|---|
| 川崎重工業株式会社 | 88 |
| リバーフィールド株式会社 | 67 |
| オーリスヘルスインコーポレイテッド | 66 |
Top company, Change in the Number of JP Patents
Below is a patent map showing the changes in the numbers of JP patent filings by 手術ロボット技術’s top 3 coapplicants over the last 6 years.
Top co-applicant filing ranking
| Name | Cases |
|---|---|
| 川崎重工業株式会社 | 88 |
| リバーフィールド株式会社 | 67 |
| オーリスヘルスインコーポレイテッド | 66 |
Top company details
Trends in filing of joint patent applications with 川崎重工業株式会社
手術ロボット技術 filed 88 joint applications with 川崎重工業株式会社 for the analysis period (2020 to 2025).
The mean of the number of filings over the last 5 years (2020 to 2024, 88 cases in total) is 17.6, and the median is 19.0. The coefficient of variation (standard deviation/mean) is 0.5, and filings have been large fluctuations.
Because some years show zero filings in the collected data, strong trend claims are avoided; see the yearly table. The highest number of filings in 2021 with 29 cases, and their lowest number in 2023 with 3 cases (years covered: 2020, 2021, 2022, 2023, 2024).
| Index | Value |
|---|---|
| Average | 17.6 patents |
| Std Dev | 8.5 |
| COV | 0.5 |
| Year | Cases | YOY |
|---|---|---|
| 2025 year | 0 cases | -100% |
| 2024 year | 19 cases | +533% |
| 2023 year | 3 cases | -81.2% |
Trends in filing of joint patent applications with オーリスヘルスインコーポレイテッド
手術ロボット技術 filed 66 joint applications with オーリスヘルスインコーポレイテッド for the analysis period (2020 to 2025).
The mean of the number of filings over the last 5 years (2020 to 2024, 66 cases in total) is 13.2, and the median is 13.0. The coefficient of variation (standard deviation/mean) is 0.7, and filings have been large fluctuations.
Because some years show zero filings in the collected data, strong trend claims are avoided; see the yearly table. The highest number of filings in 2021 with 29 cases, and their lowest number in 2020 with 4 cases (years covered: 2020, 2021, 2022, 2023, 2024).
| Index | Value |
|---|---|
| Average | 13.2 patents |
| Std Dev | 9.0 |
| COV | 0.7 |
| Year | Cases | YOY |
|---|---|---|
| 2025 year | 0 cases | -100% |
| 2024 year | 5 cases | -61.5% |
| 2023 year | 13 cases | -13.33% |
Trends in filing of joint patent applications with メディカル・マイクロインストゥルメンツ・インコーポレイテッド
手術ロボット技術 filed 32 joint applications with メディカル・マイクロインストゥルメンツ・インコーポレイテッド for the analysis period (2020 to 2025).
The mean of the number of filings over the last 5 years (2020 to 2024, 32 cases in total) is 6.4, and the median is 6.0. The coefficient of variation (standard deviation/mean) is 0.8, and filings have been large fluctuations.
Because some years show zero filings in the collected data, strong trend claims are avoided; see the yearly table. The highest number of filings in 2022 with 14 cases, and their lowest number in 2020 with 0 cases (years covered: 2020, 2021, 2022, 2023, 2024).
| Index | Value |
|---|---|
| Average | 6.4 patents |
| Std Dev | 5.1 |
| COV | 0.8 |
| Year | Cases | YOY |
|---|---|---|
| 2025 year | 0 cases | -100% |
| 2024 year | 6 cases | -40.0% |
| 2023 year | 10 cases | -28.57% |
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.
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.
佐藤総合特許事務所 代表弁理士
佐藤 寿のコメント
競合企業との比較のポイント
同業や競合企業が特許に注力している分野を知ることで、自社の戦略や製品開発の方向性を把握することができます。
解説の続きを読む