Gartner has a total of 73 patents globally, out of which 28 have been granted. Of these 73 patents, more than 39% patents are active. United States of America is where Gartner has filed the maximum number of patents, followed by Europe and China, it has generated an annual revenue of $4.73 billion in the year 2021. Parallelly, United States of America seems to be the main focused R&D center of Gartner.
Gartner was founded in the year 1979 by Gideon Gartner. Company is doing business in technological research and consulting. As of May 2022, Gartner has a market cap of $20.57 Billion.
Do read about some of the most popular patents of Gartner which have been covered by us in this article and also you can find Gartner patents information, the worldwide patent filing activity and its patent filing trend over the years, and many other stats over Gartner patent portfolio.
How many patents does the founder and the CEO of Gartner have?
The founders, Gideon Gartner has 0 patents. The CEO, Eugene A. Hall has 0 patents.
How many patents does Gartner have?
Gartner has a total of 73 patents globally. These patents belong to 31 unique patent families. Out of 73 patents, 29 patents are active.
How Many Patents did Gartner File Every Year?
Are you wondering why there is a drop in patent filing for the last two years? It is because a patent application can take up to 18 months to get published. Certainly, it doesn’t suggest a decrease in the patent filing.
|Year of Patents Filing or Grant||Gartner Applications Filed||Gartner Patents Granted|
How many Gartner patents are Alive/Dead?
How Many Patents did Gartner File in Different Countries?
Countries in which Gartner Filed Patents
|United States Of America||32|
|Hong Kong (S.A.R.)||1|
Where are Research Centers of Gartner Patents Located?
10 Best Gartner Patents
US20040068431A1 is the most popular patent in the Gartner portfolio. It has received 373 citations so far from companies like Accenture, Microsoft, and IBM.
Below is the list of 10 most cited patents of Gartner:
|Publication Number||Citation Count|
Which Companies are using Gartner Patents to Advance their Research?
If patents or patents from a particular technology area of a company receive a lot of citations, it implies that the technology is being followed and incrementally innovated by the citing companies. It also indicates that citing companies are working on similar and closely related technologies.
The top citing companies in the Gartner patent portfolio are Microsoft, IBM, and JPMorgan Chase Bank.
List of the top forward citing Companies –
|Company||Number of Patents|
|JPMorgan Chase Bank||5|
|Bank Of America||2|
Count of 102 and 103 Type Rejections based on Gartner Patents
Top Gartner Patents used in Rejecting Most Patent Applications
|Patent Number||Count of Rejected Applications|
List of Gartner Patents
|US10817518B2||Implicit profile for use with recommendation engine and/or question router|
|US10600011B2||Methods and systems for improving engagement with a recommendation engine that recommends items, peers, and services|
|US10586174B2||Methods and systems for finding and ranking entities in a domain specific system|
|US20200057960A1||Customizable machine learning models|
|US10402749B2||Customizable machine learning models|
|US10320094B2||Multi-band dual polarization omni-directional antenna|
|US10318617B2||Methods and apparatus for extraction of content from an email or email threads for use in providing implicit profile attributes and content for recommendation engines|
|US10248725B2||Methods and apparatus for integrating search results of a local search engine with search results of a global generic search engine|
|US10102278B2||Methods and systems for modifying a user profile for a recommendation algorithm and making recommendations based on user interactions with items|
|US20170308841A1||Predictive Analytics System Using Current And Historical Role Information|
|US9773043B2||Implicit profile for use with recommendation engine and/or question router|
|US9747259B2||Searching, reviewing, comparing, modifying, and/or merging documents|
|US9477672B2||Implicit profile for use with recommendation engine and/or question router|
|US9425515B2||Multi-slot common aperture dual polarized omni-directional antenna|
|US9258051B2||Optimization of transmit signal polarization of an adaptive polarization array (APA)|
|US9184507B2||Multi-slot common aperture dual polarized omni-directional antenna|
|US8954023B2||Adaptive polarization array (APA)|
|US8918391B2||Interactive peer directory with question router|
|US8661034B2||Bimodal recommendation engine for recommending items and peers|
|US8570239B2||Spiraling surface antenna|
|US20130179236A1||Computerized method and system for enhancing the sales performance of selected sales force professionals|
|US20120253891A1||Computer-Implemented Generation Of Roadmap Visualizations|
|US8249915B2||Computer-implemented method and system for collaborative product evaluation|
|US8244674B2||Interactive peer directory|
|US8203500B2||Compact circularly polarized omni-directional antenna|
|US20110191311A1||Bi-model recommendation engine for recommending items and peers|
|US7948440B1||Horizontally-polarized omni-directional antenna|
|US20070094595A1||Survey portal system and method of use|
|US20060093095A1||Method and apparatus for test administration|
|US20040068431A1||Methods and systems for evaluation of business performance|
|US20020147776A1||System and method for monitoring consumer preferences|
|EP3186754B1||Customizable machine learning models|
|EP2335317A4||Spiraling surface antenna|
|EP2412057A2||Compact circularly polarized omni-directional antenna|
|EP1625478A4||Method and apparatus for survey processing|
|EP1952220A2||Survey portal system and method of use|
|EP1559043A4||Methods and systems for evaluation of business performance|
|EP1582808A1||Forced-draft burner comprising a ventilation box inclined with respect to the combustion head|
|EP1514187A2||System and method for assigning an engine measure metric to a computing system|
|CN102177615A||Spiraling surface antenna|
|CN1973281A||Method and apparatus for survey processing|
|CN1636367A||System and method for assigning an engine measure metric to a computing system|
|WO2013106507A1||Computerized method and system for enhancing the sales performance of selected sales force professionals|
|WO2012178076A3||Adaptive polarization array (APA)|
|WO2010085706A3||Compact circularly polarized omni-directional antenna|
|WO2010042846A3||Spiraling surface antenna|
|WO2010068263A1||Interactive peer directory|
|WO2007047234A2||Survey portal system and method of use|
|WO2004104772A3||Method and apparatus for survey processing|
|WO2006041788A2||Method and apparatus for test administration|
|WO2003032167A8||System and method for deriving a computing system processing capacity metric|
|WO2004034188B1||Methods and systems for evaluation of business performance|
|CA2959340A1||Customizable machine learning models|
|CA2462608A1||System and method for assigning an engine measure metric to a computing system|
|AU2015306693A1||Customizable machine learning models|
|AU2003275392A1||Methods and systems for evaluation of business performance|
|AU2002351465A1||System and method for deriving a computing system processing capacity metric|
|JP2007516502A||Method and apparatus for applications relating to survey processing|
|JP2006508427A||Method and system for evaluating business performance|
|JP2005508539A||System and method for allocating engine measurement metrics to the computer system|
|ZA201701393B||Customizable machine learning models|
|DE602015061879T2||Customizable machine learning models|
|IT1392115B1||angular joint for modular electric wardrobes and modular electric cabinet comprising this angular joint|
|KR1020110107348A||Compact circularly polarized omni-directional antenna|
|HK1087502A||Method and apparatus for survey processing|
|IT1335160B1||method for bending metal sheets and structural element obtained by this method|
|IT1335159B1||hinge for connecting mobile structures to supporting structures.|
|KR1020060009354A||Method and apparatus for survey processing|
|MXPA04003127A||System and method for assigning an engine measure metric to a computing system.|
|KR1020040054711A||System and method for assigning an engine measuremetric to a computing system|