In the fiscal year of 2023, a total number of ******* patents were granted at the U.S. Patent and Trademark Office. This is an increase from the fiscal year of 2000, when ******* patents were issued.

As of 2023, the number of patent applications worldwide amounted to about **** million. It was also the highest number of patent applications worldwide in the last 30 years.

Graph and download economic data for U.S. Granted Patents: Total Patents Originating in the United States (PATENTUSALLTOTAL) from 1992 to 2020 about patent granted, intellectual property, origination, patents, and USA.

The South Korean technology giant Samsung Electronics was awarded a total of 6,377 United States patents in 2024, the most of any company. Taiwan Semiconductor Manufacturing Company ranked second among companies, with 3,989 U.S. patents granted, followed by the likes of Qualcomm and Apple. Patents explained Patents grant exclusionary rights to an invention - a product or process that is a solution to a specific technological problem. They can be seen as an indicator of innovation, to track rates of technological change or progress, or monitor the health of research and development. Where specific patents are linked to businesses, they can occasionally be used as a barometer for judging the current or future direction of a business's interests. Globally, the number of patent grants has continued to grow year-on-year. US Patent and Trademark Office (USPTO) The United States Patent and Trademark Office (USPTO) is the federal agency for granting U.S. patents and registering trademarks. At the cutting edge of technological progress and achievement in the U.S., the USPTO serves to protect new ideas and investments in innovation and creativity. Of the national patent offices globally, the U.S. was second only to China in terms of the number of patents in force. This has been supported by policy implementation and a framework developed by the U.S. to protect intellectual property (IP), regarded as being one of the best intellectual property environments worldwide.

The number of patents issued to resident persons or corporations of a city is an indicator of innovation, which is a result of the production and use of knowledge.

The patents counted in this indicator were 'standard' and 'innovation patents. Standard patents are granted only for inventions - in other words an invention that is not an obvious thing to do for someone with knowledge and experience in the technological field of the invention. The innovation patent is granted for an incremental advance on existing technology or knowledge that makes a substantial contribution to the working of the invention.

To derive the figure for per 100,000 residents, the total number of patents granted annually to individuals and entities living or working in the municipality is divided by the municipality's population divided by 100,000. The result is a figures expressed as the number of new patents granted per 100,000 population.

The OECD have created a search strategy for environment-related technologies (ENV-TECH) based on more than 200,000 different classification symbols, containing both International Patent Classification (IPC) symbols and Cooperative Patent Classification (CPC) symbols. The classifications cover a broad spectrum of technologies related to environmental pollution, water scarcity and climate change mitigation. The classifications found in the ENV-TECH search strategy have been grouped according to their relevance within 12 innovation systems. Not all the classifications found in the ENV-TECH search strategy have been used. For each innovation system, a list of the relevant CPC and IPC schemes is created. The raw patent data found in the OECD REGPAT database (which contains all patent filed to the EPO) is then filtered for each list. This yields the number of patent applications relevant within each innovation system. These are allocated fractionally to the inventor(s) country according to inventor share. The patents are then sorted according to the priority year of filing. Only patents filed to the EPO are listed in the data. This contains inventions sought protected within the jurisdiction of the EPO and also captures international patents filed under the Patent Cooperation Treaty (PCT), which must also be filed to the EPO. The method does, however, not list patents which are filed to either the United States Patents and Trademark Office (USPTO) or the Japan Patent Office (JPO) alone. Hence, inventions which are sought protected in the ERA countries and all the PCT member states are covered, but not inventions which are sought protected under the jurisdiction of either the USPTO or JPO alone. The patents are also listed according to the country of the inventor(s), though an invention may have been developed in a different country. Many patents are never used in any industrial application, and do therefore not contribute to innovation directly. Many inventions are also not sought patented, either because they cannot be patented or because the inventors attempt to protect the invention through other means. These inventions are not captured through patent statistics, which are then not a perfect indicator for innovation. Be aware that due to delayed data entries in the OECD patent database the values for the last couple of years might be underestimated and could possibly increase over the next years. Have this in mind when working with data from recent years.

Graph and download economic data for U.S. Granted Patents: Total Patents Originating in New York (PATENTUSNYTOTAL) from 1992 to 2020 about patent granted, intellectual property, origination, patents, NY, and USA.

Fork this notebook to get started on accessing data in the BigQuery dataset by writing SQL queries using the BQhelper module.

Context

The Office of the Chief Economist (OCE) is responsible for advising the Under Secretary of Commerce for Intellectual Property and Director of the USPTO on the economic implications of policies and programs affecting the U.S. intellectual property (IP) system. The office disseminates detailed patent and trademark data, undertakes research, and conducts economic analysis on a variety of IP issues. OCE works with policy makers, collaborates with academics, and engages the public more generally through conferences it organizes, the publicly accessible research datasets it provides, and its publications.

Content

The USPTO OCE Patent Assignment Dataset contains detailed data patent assignments and other transactions recorded at the USPTO since 1970.

Acknowledgements

"USPTO OCE Patent Assignment Data" by the USPTO, for public use. Marco, Alan C., Graham, Stuart J.H., Myers, Amanda F., D'Agostino, Paul A and Apple, Kirsten, "The USPTO Patent Assignment Dataset: Descriptions and Analysis" (July 27, 2015).

Data Origin: https://bigquery.cloud.google.com/dataset/patents-public-data:uspto_oce_assignment

Banner photo by Jeff Sheldon on Unsplash

Patent Assignment Daily XML (PADX)

This dataset contains daily patent assignment (ownership) text (no drawings/images) for 10/18/2016 derived from patent assignment recordations made at the USPTO.

Context

Each day, the US Patent and Trademark Office (USPTO) records patent assignments (changes in ownership). These assignments can be used to track chain-of-ownership for patents and patent applications. For more information about Ownership/Assignability of Patents and Applications, please see the USPTO Manual of Patent Examining Procedure (MPEP), Section 301.

• Frequency: Weekly (MON-SUN)
• Period: 10/18/2016

Inspiration

This dataset provides insight into where new knowledge and technological advances originate in the United States. To get started working with XML files, fork the kernel Exploring Daily Patent Assignment Files. You can use this dataset to understand what sector is currently up-and-coming or which companies are filing a lot of patents, which can proxy their level of innovation, a corporate strength, or a focus of new research and development.

https://www.kaggle.io/svf/441320/a6bdce278d093c91424ea5b96296db3e/_results_files/_results_6_0.png" alt="Exploring Daily Patent Assignments Files">

Acknowledgements

The USPTO owns the dataset. These files are extracted nightly from the Assignment Historical Database (AHD).

License

Creative Commons - Public Domain Mark 1.0

In 2020, a total of ******* patents were granted to U.S. companies, both in the United States and abroad. This is a slight decrease from the previous year, when ******* patents were granted to U.S. companies.

Front page data for patents issued from January 1, 1975 to December 31, 2010, including patent numbers, issue dates, application dates, application numbers, country of origin of first named inventor, first named assignee, ownership assignment category, the primary class and subclass of each patent, the number of claims, the number of forward citations to the patent (i.e. citations in subsequently issued patents), the number of backward citations to previous U.S. utility patents, and the number of citations to non-patent references. Citations file includes citing / cited patent pairs for the 1975 to 2010 period.

Graph and download economic data for U.S. Granted Patents: Total Patents Originating in Florida (PATENTUSFLTOTAL) from 1992 to 2020 about patent granted, intellectual property, origination, patents, FL, and USA.

Italy IT: Share of Countries in Triadic Patent Families: Priority Year data was reported at 1.569 % in 2021. This records an increase from the previous number of 1.545 % for 2020. Italy IT: Share of Countries in Triadic Patent Families: Priority Year data is updated yearly, averaging 1.558 % from Dec 1985 (Median) to 2021, with 37 observations. The data reached an all-time high of 2.260 % in 1986 and a record low of 1.288 % in 2010. Italy IT: Share of Countries in Triadic Patent Families: Priority Year data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Italy – Table IT.OECD.MSTI: Number of Patents Applications: OECD Member: Annual.

For Italy, the population frame was improved in 2016 (the number of units increased by +18% compared to the 2015 frame) and for the first time, an imputation procedure was applied for handling non responses. In 2005 and 1997, new methods for estimating R&D in universities were introduced, resulting in breaks in series in the higher education sector.

Up until 1990, the total expenditure on R&D is overestimated by more than 10% as extramural R&D expenditures is included. From 1991, data on extramural R&D expenditure is available separately.

2010 GBARD data are calculated with a new set of coefficients especially affecting the data on non-oriented research programmes.

These data provide fiscal-year totals for US utility patents that include US governmental property interest. FiscalYear -- Begins Oct 1 of prior year. PatCount -- Total number of US Utility patents in the dataset for each fiscal year. USGovtInterest -- Total number of US Utility patents that list a U.S. Gov't interest as derived from bulk data released from the USPTO in XML (and prior SGML/WPK) files. USGovtOwner -- Total number of US Utility patents identified as being assigned to the US Government as of the patent issuance date. This uses the "ROLE" flag from the xml data. AnyUSGovtInterest -- Total number of patents that include either USGovtInterest or USGovtOwner, but avoiding double counting (some patents fit both categories).

Italy IT: Number of Patent Applications Filed under The PCT: ICT Sector: Priority Year data was reported at 307.158 Number in 2021. This records a decrease from the previous number of 364.656 Number for 2020. Italy IT: Number of Patent Applications Filed under The PCT: ICT Sector: Priority Year data is updated yearly, averaging 180.607 Number from Dec 1981 (Median) to 2021, with 41 observations. The data reached an all-time high of 364.656 Number in 2020 and a record low of 0.000 Number in 1983. Italy IT: Number of Patent Applications Filed under The PCT: ICT Sector: Priority Year data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Italy – Table IT.OECD.MSTI: Number of Patents Applications: OECD Member: Annual.

For Italy, the population frame was improved in 2016 (the number of units increased by +18% compared to the 2015 frame) and for the first time, an imputation procedure was applied for handling non responses. In 2005 and 1997, new methods for estimating R&D in universities were introduced, resulting in breaks in series in the higher education sector.

Up until 1990, the total expenditure on R&D is overestimated by more than 10% as extramural R&D expenditures is included. From 1991, data on extramural R&D expenditure is available separately.

2010 GBARD data are calculated with a new set of coefficients especially affecting the data on non-oriented research programmes.

Data version: 3.3.0

Authors:
Bernhard Ganglmair (University of Mannheim, Department of Economics, and ZEW Mannheim)
W. Keith Robinson (Wake Forest University, School of Law)
Michael Seeligson (Southern Methodist University, Cox School of Business)

1. Notes on Data Construction
2. Citation and Code
3. Description of the Data Files
3.1. File List
3.2. List of Variables for Files with Claim-Level Information
3.3. List of Variables for Files with Patent-Level Information
4. Coming Soon!

1. Notes on Data Construction

This is version 3.3.0 of the patccat data (patent claim classification by algorithmic text analysis).

Patent claims define an invention. A patent application is required to have one or more claims that distinctly claim the subject matter which the patent applicant regards as her invention or discovery. We construct a classifier of patent claims that identifies three distinct claim types: process claims, product claims, and product-by-process claims.

For this classification, we combine information obtained from both the preamble and the body of a claim. The preamble is a general description of the invention (e.g., a method, an apparatus, or a device), whereas the body identifies steps and elements (specifying in detail the invention laid out in the preamble) that the applicant is claiming as the invention. The combination of the preamble type and the body type provides us with a more detailed and more accurate classification of claims than other approaches in the literature. This approach also accounts for unconventional drafting approaches. We eventually validate our classification using close to 10,000 manually classified claims.

The data files contain the results of our classification. We provide claim-level information for each independent claim of U.S. utility patents granted between 1836 and 2020. We also provide patent-level information, i.e., the counts of different claim types for a given patent.

For a detailed description of our classification approach, please take a look at the accompanying paper (Ganglmair, Robinson, and Seeligson 2022).

2. Citation

Please cite the following paper when using the data in your own work:

Ganglmair, Bernhard, W. Keith Robinson, and Michael Seeligson (2022): "The Rise of Process Claims: Evidence from a Century of U.S. Patents," unpublished manuscript available at https://papers.ssrn.com/abstract=4069994.

In the paper, we document the use of process claims in the U.S. over the last century, using the patccat data. We show an increase in the annual share of process claims of about 25 percentage points (from below 10% in 1920). This rise in process intensity of patents is not limited to a few patent classes, but we observe it across a broad spectrum of technologies. Process intensity varies by applicant type: companies file more process-intense patents than individuals, and U.S. applicants file more process-intense patents than foreign applicants. We further show that patents with higher process intensity are more valuable but are not necessarily cited more often. Last, process claims are on average shorter than product claims (with the gap narrowing since the 1970s).

We would love to see how other researchers use the data and eventually learn from it. If you have a discussion paper or a publication in which you use the data, please send us a copy at patccat.data@gmail.com.

We will the R code used to construct the data on Github with the next data version (version 3.4.0). Contact us at b.ganglmair@gmail.com if you would like to take a look at an earlier version of the code.

3. Description of the Data Files

The data files contain claim-level information for independent claims of 10,140,848 U.S. utility patents granted between 1836 and 2020. The files further contain patent-level information for U.S. utility patents.

3.1. File List

File list

claims-patccat-v3-3-sample.csv	claim-level information for independent claims of a sample of 1000 patents issued between 1976 and 2020
claims-patccat-v3-3-1836-1919.csv	claim-level information for independent claims of 1,038,041 patents issued between 1836 and 1919
claims-patccat-v3-3-1920-2020.csv	claim-level information for independent claims of 9,102,807 patents issued between 1920 and 2020
patents-patccat-v3-3-sample.csv	patent-level information for a sample of 1000 patents issued between 1976 and 2020
patents-patccat-v3-3-1836-1919.csv	patent-level information for 1,038,041 patents issued between 1836 and 1919
patents-patccat-v3-3-1920-2020.csv	patent-level information for 9,102,807 patents issued between 1920 and 2020

3.2. List of Variables for Files with Claim-Level Information

For detailed descriptions, see the appendix in Ganglmair, Robinson, and Seeligson (2022).

List of Variables (Claim-Level Information)

PatentClaim	patent claim identifier; 8-digit patent number and 4-digit claim number (Ex: 01234567-0001)
singleLine	=1 if claim is published in single-line format
singleReformat	outcome code of reformating of single-line claims
Jepson	=1 if claim is a Jepson claim
JepsonReformat	outcome code of reformating of Jepson claims
inBegin	=1 if claim begins with the word "in"
wordsPreamble	number of words in the claim preamble
wordsBody	number of words in the claim body
dependentClaims	number of dependent claims that refer to this independent claim
isMeansPreamble	=1 if term "means" is used in the preamble
isMeansBody	=1 if term "means" is used in the body
isMeans	=1 if term "means" is used anywhere in the claim (~ means-plus-function claim)
processPreamble	=1 if terms "method" or "process" are used in the preamble
processBody	=1 if terms "method" or "process" are used in the body
processSimple	=1 if terms "method" or "process" are used anywhere in the claim (for simple approach of process claim classification)
claimType	claim type of full classification (1 = process; 2 = product; 3 = product-by-process; 0 = no type)
preambleType	preamble type
preambleTerm	keyword used to classify preamble type
preambleTermAlt	alternative keyword (if preambleTerm were not used)
preambleTextStub	first 15 words of the preamble
bodyType	body type
bodyLinesStep	number of steps in the body
bodyLinesElement	number of elements in the body
bodyLinesTotal	total number of identified lines in the body
label	2-character label of the preamble-body combination; classification table maps label to claim type

3.3. List of Variables for Files with Patent-Level Information

For detailed descriptions, see the appendix in Ganglmair, Robinson, and Seeligson (2022).

List of Variables (Patent-Level Information)

patent_id	U.S. patent number (8-digit patent number)
claims	number of independent claims (the sum of the four claim types: 0, 1, 2, and 3)
noCategory	number of claims without a classified type
processClaims	number of process claims
productClaims	number of product claims
prodByProcessClaims	number of product-by-process claims
firstClaim	type of the first claim (1 = process; 2 = product; 3 = product-by-process; 0 = no type)
simpleProcessClaims	number of process claims by simple approach (terms "method" or "process" anywhere in the claim)
simpleProcessPreamble	number of process claims by simple approach (terms "method" or "process" in the preamble)
meansClaims	number of means-plus-function claims
meansFirst	=1 if first claim is a means-plus-function claim
JepsonClaims	number of Jepson claims
JepsonFirst	=1 if first claim is a Jepson claim

Note: The following variables/fields are currently empty (March 30, 2020); we will populate these variables/fields with data version 3.4.0.

preambleTerm
preambleTermAlt
preambleTextStub
bodyLinesStep
bodyLinesElement
bodyLinesTotal

Note: We will release the data for patents issued in 2021 with data version 3.4.0.

4. Coming Soon!

We are working on a number of extensions of the patccat data.

- With data version 3.4.0, we plan to release data for all published U.S. patent applications (2001 through 2021)
- In late spring/early summer 2022, we will release data for patents issued by the European Patent Office (EPO) [Update: March 28, 2023: see https://doi.org/10.5281/zenodo.7776092]
-

Italy IT: Number of Patent Applications Filed under The PCT: Biotechnology Sector: Priority Year data was reported at 206.054 Number in 2021. This records a decrease from the previous number of 216.411 Number for 2020. Italy IT: Number of Patent Applications Filed under The PCT: Biotechnology Sector: Priority Year data is updated yearly, averaging 133.534 Number from Dec 1981 (Median) to 2021, with 41 observations. The data reached an all-time high of 216.411 Number in 2020 and a record low of 0.000 Number in 1982. Italy IT: Number of Patent Applications Filed under The PCT: Biotechnology Sector: Priority Year data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Italy – Table IT.OECD.MSTI: Number of Patents Applications: OECD Member: Annual.

For Italy, the population frame was improved in 2016 (the number of units increased by +18% compared to the 2015 frame) and for the first time, an imputation procedure was applied for handling non responses. In 2005 and 1997, new methods for estimating R&D in universities were introduced, resulting in breaks in series in the higher education sector.

Up until 1990, the total expenditure on R&D is overestimated by more than 10% as extramural R&D expenditures is included. From 1991, data on extramural R&D expenditure is available separately.

2010 GBARD data are calculated with a new set of coefficients especially affecting the data on non-oriented research programmes.

Forecast: Number of Patents in the ICT Sector in the US 2023 - 2027 Discover more data with ReportLinker!

Dataset

This dataset was created by Peter_Ng2104

Released under U.S. Government Works

Contents

The dataset consists of green technology patents sourced from the "patents-public-data.patents.publications" dataset and is structured in three versions:

• Version 1: Contains 30,000 records up until 2022.
• Version 2: Includes all records published in 2022.
• Version 3: Contains records published from 2022 to 2024.

All versions are sorted by publication date, with the most recent patents listed first and provided in JSON format.

Selection Criteria: The patents included in this dataset are filtered based on keywords related to renewable energy and sustainable technology solutions. The SQL query utilizes regular expressions to search for terms such as "solar energy," "photovoltaics," "hydropower," "hydrogen energy," "geothermal energy," "wind energy," and "carbon capture and storage/e-mobility" within both the abstract and title of the patents.

Data Source: The data is sourced from the publicly accessible Google Patents dataset, which aggregates global patent information.