InQuartik-PATENT CHARTING: Patent Information Analyzed by Key Data Fields of Choice product image in hero

InQuartik-PATENT CHARTING: Patent Information Analyzed by Key Data Fields of Choice

A dataset by InQuartik
q* Trade Names numbers* Patent Numbers xfl* Field Name for X axis yfl* Field Name for Y axis
[ "IBM UNITED KINGDOM LTD", "IBM JAPAN LTD"] ["US20180000656A1", "US20180000656", EP3111903B1", EP3111903"] ["Appl Year"] ["Legal Status"]
[ "IBM UNITED KINGDOM LTD", "IBM JAPAN LTD"] ["US20180000656A1", "US20180000656", EP3111903B1", EP3111903"] ["Appl Year"] ["Legal Status"]
Request Free Data Sample Request InQuartik-PATENT CHARTING: Patent Information Analyzed by Key Data Fields of Choice sample icon
Pricing available upon request
InQuartik-PATENT CHARTING: Patent Information Analyzed by Key Data Fields of Choice 133M patents icon
133M patents
InQuartik-PATENT CHARTING: Patent Information Analyzed by Key Data Fields of Choice 99% completness  icon
99% completness
InQuartik-PATENT CHARTING: Patent Information Analyzed by Key Data Fields of Choice 102 countries covered icon
102 countries covered
InQuartik-PATENT CHARTING: Patent Information Analyzed by Key Data Fields of Choice 50 years of historical data icon
50 years of historical data

Description

Enter a list of company names or patent numbers to analyze patent info in relation between X and Y legends selected from application year, country, legal status, family and quality/ value etc.
How can you easily gain an insight from the patent data without using a statistical chart? For instance, can you identify the key market paradigm shifted by the patent trajectories in terms of the numbers of patent applications in each market over the past years? How about patent value distribution across all the markets to tell in which countries the patent portfolio has the strongest monetization potential? The Patent Charting data provides you with a quick analysis on a patent portfolio by selecting one key parameter for the X axis and another on for the Y axis, ranging from application year, to country, to legal status, to quality and value to name a few. How do we do that? We include decades’ worth of global full-text databases, such as the US, China, EM/EUIPO, Japan, Korea, WIPO and so on, and keep them updated on a timely basis—as frequently as every day or week, depending on the sources. Furthermore, the data downloaded are cleansed to minimize data errors and thus search and analysis errors. For example, we standardize assignee names to enables individual patents to correspond to a single owner; logic-based corrections ensure that values are corrected based on rules. In addition, we use advanced algorithms in analyzing, selecting, and presenting the most current and accurate information from multiple available data sources. For instance, a single patent’s legal status is triangulated across different patent data for accuracy. Moreover, proprietary Quality and Value rankings put patents that are applied in the same Patent Trademark Office under equally evaluative criteria, offering subjective predictions for the patent's likelihood of validity and monetization.

Data Attributes

Attribute & Description Example
q* Trade Names
q = an array of companies' trade names. The maximum number is 200.
[ "IBM UNITED KINGDOM LTD", "IBM JAPAN LTD"]
numbers* Patent Numbers
numbers = [P1, P2, P3,....Pn]. The maximum number is 300
["US20180000656A1", "US20180000656", EP3111903B1", EP3111903"]
xfl* Field Name for X axis
xfl = [Party : Assignee , Curr. Assignee , Inventor , Agency , Examiner , Assignor (Reassignment) , Assignee (Reassignment) , Agent (Reassignment) , Licensor , Licensee , Pledgor , Pledgee ; Date (Year) : Priority Year , Appl. Year , Issue Year , Pub. Year , Abandon Year , Estimated Exp. Year , Transfer Year , Licensing Year , Pledge Year ; Date (Month) : Priority Month , Appl. Month , Issue Month , Pub. Month , Abandon Month , Estimated Exp. Month , Transfer Month , Licensing Month , Pledge Month ; Patent Ranking : Patent Value , Patent Quality ; Classification : IPC (Subclass) , IPC (Subgroup) , CPC (Subclass) , CPC (Subgroup) , USPC , FI (Subclass) , FI (Subgroup) , Locarno ; Status Data : Patent Type , Patent Office , Legal Status , Active , Revoked , Reissued , Pending , Exam. , Abandoned , Expired ; Assignment Data : Reassignment , Number of Reassignment , Licensing , Pledge]
["Appl Year"]
yfl* Field Name for Y axis
yfl = Party : Assignee , Curr. Assignee , Inventor , Agency , Examiner , Assignor (Reassignment) , Assignee (Reassignment) , Agent (Reassignment) , Licensor , Licensee , Pledgor , Pledgee ; Date (Year) : Priority Year , Appl. Year , Issue Year , Pub. Year , Abandon Year , Estimated Exp. Year , Transfer Year , Licensing Year , Pledge Year ; Date (Month) : Priority Month , Appl. Month , Issue Month , Pub. Month , Abandon Month , Estimated Exp. Month , Transfer Month , Licensing Month , Pledge Month ; Patent Ranking : Patent Value , Patent Quality ; Classification : IPC (Subclass) , IPC (Subgroup) , CPC (Subclass) , CPC (Subgroup) , USPC , FI (Subclass) , FI (Subgroup) , Locarno ; Status Data : Patent Type , Patent Office , Legal Status , Active , Revoked , Reissued , Pending , Exam. , Abandoned , Expired ; Assignment Data : Reassignment , Number of Reassignment , Licensing , Pledge]
["Legal Status"]

Geography

Africa (10)
Algeria
Congo
Ghana
Kenya
Libya
Morocco
Nigeria
South Africa
Sudan
Tunisia
Asia (26)
Brunei Darussalam
Cambodia
China
Cyprus
Hong Kong
India
Indonesia
Israel
Japan
Jordan
Korea (Republic of)
Lebanon
Macao
Malaysia
Myanmar
Philippines
Saudi Arabia
Singapore
Sri Lanka
Syrian Arab Republic
Taiwan, Province of China
Thailand
Turkey
United Arab Emirates
Vietnam
Yemen
Europe (36)
Andorra
Austria
Belarus
Belgium
Bulgaria
Croatia
Czech Republic
Denmark
Finland
France
Germany
Greece
Hungary
Iceland
Ireland
Italy
Latvia
Liechtenstein
Lithuania
Luxembourg
Malta
Monaco
Netherlands
Norway
Poland
Portugal
Romania
Russian Federation
Serbia
Slovakia
Slovenia
Spain
Sweden
Switzerland
Ukraine
United Kingdom
North America (9)
Bermuda
Canada
Costa Rica
El Salvador
Greenland
Guatemala
Honduras
Mexico
United States of America
Oceania (2)
Australia
New Zealand
South America (19)
Argentina
Bahamas
Bolivia (Plurinational State of)
Brazil
Chile
Colombia
Cuba
Curaçao
Dominican Republic
Ecuador
Haiti
Jamaica
Martinique
Peru
Puerto Rico
Uruguay
Venezuela (Bolivarian Republic of)
Virgin Islands (British)
Virgin Islands (U.S.)

History

50 years of historical data

Volume

133 million patents

Pricing

Free sample available
InQuartik has not published pricing information for this product yet. You can request detailed pricing information below.

Suitable Company Sizes

Small Business
Medium-sized Business
Enterprise

Quality

Self-reported by the provider
completness

Delivery

Methods
Email
UI Export
REST API
Frequency
monthly
weekly
daily
Format
.json
.csv
.xls
.sql

Use Cases

Business Intelligence (BI) Competitor Analysis
Portfolio Due Diligence and Valuation
Intangible Asset Evaluation
Technological Innovation Analysis

Categories

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Frequently asked questions

What is InQuartik-PATENT CHARTING: Patent Information Analyzed by Key Data Fields of Choice?

Enter a list of company names or patent numbers to analyze patent info in relation between X and Y legends selected from application year, country, legal status, family and quality/ value etc.

What are the data attributes of InQuartik-PATENT CHARTING: Patent Information Analyzed by Key Data Fields of Choice?

This product has 4 key data attributes. These include q* Trade Names , numbers* Patent Numbers, xfl* Field Name for X axis, and yfl* Field Name for Y axis. Request a data sample from InQuartik to see these attributes in more detail and see what information they can provide.

What is InQuartik-PATENT CHARTING: Patent Information Analyzed by Key Data Fields of Choice used for?

This product has 5 key use cases. InQuartik recommends using the data for Business Intelligence (BI), Competitor Analysis, Portfolio Due Diligence and Valuation, Intangible Asset Evaluation, and Technological Innovation Analysis. Global businesses and organizations buy Intellectual Property Data from InQuartik to fuel their analytics and enrichment.

Who can use InQuartik-PATENT CHARTING: Patent Information Analyzed by Key Data Fields of Choice?

This product is best suited if you’re a Enterprise, Medium-sized Business, or Small Business looking for Intellectual Property Data. Get in touch with InQuartik to see what their data can do for your business and find out which integrations they provide.

How far back does the data in InQuartik-PATENT CHARTING: Patent Information Analyzed by Key Data Fields of Choice go?

This Dataset / Database / Data Feed / Data API has 50 years of historical coverage. It can be delivered on a monthly, weekly, and daily basis.

Which countries does InQuartik-PATENT CHARTING: Patent Information Analyzed by Key Data Fields of Choice cover?

This product includes data covering 102 countries like USA, China, Japan, Germany, and India. InQuartik is headquartered in Taiwan, Province of China.

How much does InQuartik-PATENT CHARTING: Patent Information Analyzed by Key Data Fields of Choice cost?

Pricing information for InQuartik-PATENT CHARTING: Patent Information Analyzed by Key Data Fields of Choice is available by getting in contact with InQuartik. Connect with InQuartik to get a quote and arrange custom pricing models based on your data requirements.

How can I get InQuartik-PATENT CHARTING: Patent Information Analyzed by Key Data Fields of Choice?

Businesses can buy Intellectual Property Data from InQuartik and get the data via Email, UI Export, and REST API. Depending on your data requirements and subscription budget, InQuartik can deliver this product in .json, .csv, .xls, and .sql format.

What is the data quality of InQuartik-PATENT CHARTING: Patent Information Analyzed by Key Data Fields of Choice?

InQuartik has reported that this product has the following quality and accuracy assurances: 99% completness . You can compare and assess the data quality of InQuartik using Datarade’s data marketplace. InQuartik appears on selected Datarade top lists ranking the best data providers, including Who’s New on Datarade? September Edition.

What are similar products to InQuartik-PATENT CHARTING: Patent Information Analyzed by Key Data Fields of Choice?

This Dataset / Database / Data Feed / Data API has 3 related products. These alternatives include InQuartik-PATENT LISTING: Patent Information Detailed with Key Data Fields, InQuartik-PATENT PORTFOLIO: Overview of Current Assignee’s Patent Assets, and International Trade Information. You can compare the best Intellectual Property Data providers and products via Datarade’s data marketplace and get the right data for your use case.