Skip to main content
PatentCliff

Updated April 2026 · USPTO PatentsView

CPC G06

Computing & Data Processing Patent Landscape

4,460 patents tracked across 10 companies in CPC G06.

The Computing & Data Processing technology class (CPC G06) covers 4,460 U.S. patents tracked here, held across 10 companies. Filing activity, top patent holders, and recent grants below all come directly from USPTO records.

Patent landscape for Computing & Data Processing technology (CPC class G06). Covers innovations in computing & data processing from leading companies worldwide.

Computing & Data Processing at a Glance

With 4,460 tracked patents, Computing & Data Processing is a substantial technology class — large enough to support multiple specialist firms competing on incremental improvements, and large enough that any one company's portfolio is a meaningful but rarely dominant share of the total.

IBM (150 patents, grade B), Huawei (120, grade C), and Google (110, grade C) hold the top three positions in Computing & Data Processing. The grade column reflects each company's overall Patent Strength Score across its full portfolio, not just patents in this technology class.

Patent Activity by Year

2013
101
2014
132
2015
124
2016
113
2017
162
2018
221
2019
285
2020
268
2021
262
2022
267
2023
268
2024
270
2025
264
2026
290
2027
177
2028
82

Filing activity in Computing & Data Processing has accelerated, with the most recent five years averaging about 217 new patents per year — roughly 48% above the earlier window. Acceleration often correlates with a technology shift attracting fresh corporate R&D, and it tends to push expiration cliffs further out as new filings replace older ones.

Recent Patents in Computing & Data Processing

Patent #TitleAssigneeGrantedExpiresClaimsStatus
10004287Method for configurable wireless communication using AI-drivenDeereDec 26, 2028Feb 24, 20442917.9y left
10002964Computer-implemented method for optimized lidar optimizationGileadDec 18, 2028Oct 8, 20444918.5y left
10004953Method for optimized channel estimation in cloud communicationsBlue OriginDec 10, 2028May 9, 20444118.1y left
10001779Method for integrated machine learning inference using 5GOracleDec 9, 2028Mar 2, 20441117.9y left
10001238Computer-implemented method for low-latency AI-driven optimizationSonyDec 4, 2028Apr 27, 20441818.1y left
10004368System for modular signal transmission in MEMS networksIllinois Tool WorksDec 2, 2028Dec 21, 20443118.7y left
10004667Method for efficient wireless communication using CMOSStrykerNov 28, 2028Dec 11, 20441918.7y left
10002561Apparatus for configurable data encoding in 5G systemsLam ResearchNov 27, 2028Aug 22, 2044718.4y left
10003874System for distributed signal transmission in lidar networksMetaNov 20, 2028Aug 9, 20442318.3y left
10004390System for adaptive signal transmission in analog networksIllinois Tool WorksNov 11, 2028Jun 28, 20443318.2y left
10000701Apparatus for modular data encoding in RF systemsLGOct 27, 2028Jun 21, 20443218.2y left
10003362Method for adaptive machine learning inference using MEMSDowOct 24, 2028Jun 24, 20444718.2y left
10005120Method for enhanced channel estimation in nano-scale communicationsBio-RadOct 23, 2028Sep 7, 20444818.4y left
10000099Electronic component with optimized blockchain configurationIBMOct 21, 2028Jun 27, 2044918.2y left
10002250Apparatus for high-performance data encoding in photonic systemsRaytheonOct 20, 2028Dec 13, 20444618.7y left
10003914System for low-latency signal transmission in graphene networksUberOct 16, 2028May 23, 20441118.1y left
10004169Method for multi-layer wireless communication using edgeLenovoOct 15, 2028Jun 20, 20442218.2y left
10003240System for efficient neural network processing with grapheneBayerOct 10, 2028Nov 1, 20444718.6y left
10004748Method for distributed machine learning inference using lidarEdwards LifesciencesOct 8, 2028Apr 26, 2044918.1y left
10002382Method for scalable machine learning inference using nano-scaleAMDOct 7, 2028Nov 22, 20444718.6y left

What Expirations Mean for Computing & Data Processing

As patents in Computing & Data Processing expire, the underlying methods and apparatuses enter the public domain. Competitors gain freedom to operate without licensing the original claims, and downstream products incorporating the formerly protected technology can ship without a royalty stack. This is the ground-truth mechanism that drives generic-drug economics and the broader competitive dynamics in semiconductor process generations and consumer electronics platforms.

For pharmaceutical and biotech CPC classes, drug-specific exclusivities tracked in the FDA Orange Book can delay generic entry past patent expiration. For non-drug technology classes, expiration is a cleaner trigger — competitors generally gain freedom-to-operate immediately. Either way, the underlying expiration math comes from USPTO records.

How This Patent Landscape Is Built

Patents are assigned to Computing & Data Processing based on their primary CPC classification (G06) as recorded by USPTO examiners. Total counts include all patents in the tracked dataset that carry this CPC prefix; recent-patent and yearly-trend tables are derived from the same record set. Each company\'s grade reflects its overall Patent Strength Score across its entire tracked portfolio, not just patents in this CPC class. Read the full methodology for the data pipeline, score weights, and known limitations.

Frequently Asked Questions

What is the Computing & Data Processing CPC class?

Computing & Data Processing corresponds to Cooperative Patent Classification (CPC) prefix G06, the international system used by the USPTO and EPO to organize patents by technical subject matter. Patent landscape for Computing & Data Processing technology (CPC class G06). Covers innovations in computing & data processing from leading companies worldwide. CPC classes are assigned by patent examiners and update as the technology evolves, so the patent set tracked here reflects the current classification of every included patent.

Who are the top patent holders in Computing & Data Processing?

IBM (150 patents), Huawei (120 patents), Google (110 patents), Microsoft (100 patents), Apple (95 patents) are the leading holders in Computing & Data Processing. Patent counts at the company level are useful for spotting concentration, but they do not tell you about claim strength — for a finer signal, see each company's Patent Strength Score grade in the table below.

How many Computing & Data Processing patents will expire soon?

Per-year expiration counts for this technology class can be derived from the recent patents table on this page combined with each patent's expiration date — patents typically expire 20 years from earliest non-provisional filing. For year-by-year expiration totals across all CPC classes, see the expiring-year pages on this site, which break down each year's cohort by company and technology.

What happens when patents in Computing & Data Processing expire?

When a patent expires, its claims enter the public domain. For Computing & Data Processing, that means competitors can implement the underlying methods or apparatus without licensing fees. The practical impact varies — in regulated areas like pharmaceuticals, FDA-granted exclusivities can extend market protection past patent expiry. In unregulated technology areas, expiration usually translates directly into freedom-to-operate for new entrants.

Where does Computing & Data Processing patent data come from?

All patent data is sourced from the U.S. Patent and Trademark Office through the PatentsView and Open Data Portal APIs. CPC classifications are assigned by USPTO examiners and are part of the official patent record. Verify any individual patent through USPTO Patent Public Search (ppubs.uspto.gov) or Google Patents.

All companies →Plain-English guides →Methodology →

Sources: U.S. Patent and Trademark Office (PatentsView, Open Data Portal). Public-domain federal data. Cite as: "PatentCliff, Computing & Data Processing landscape, April 2026. Data: USPTO."

Last updated 2026-04-10 · 4,460 patents tracked in Computing & Data Processing.