Updated April 2026 · USPTO PatentsView
Control & Regulation Patent Landscape
195 patents tracked across 5 companies in CPC G05.
The Control & Regulation technology class (CPC G05) covers 195 U.S. patents tracked here, held across 5 companies. Filing activity, top patent holders, and recent grants below all come directly from USPTO records.
Patent landscape for Control & Regulation technology (CPC class G05). Covers innovations in control & regulation from leading companies worldwide.
Control & Regulation at a Glance
195 patents tracked under Control & Regulation. Smaller technology classes can be either nascent areas with growing filing activity or legacy areas where filing has slowed — the yearly trend on this page is the easiest way to tell which.
Siemens (56 patents, grade D), Honeywell (55, grade D), and Boeing (40, grade D) hold the top three positions in Control & Regulation. 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
Filing activity in Control & Regulation has accelerated, with the most recent five years averaging about 9 new patents per year — roughly 40% 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 Control & Regulation
| Patent # | Title | Assignee | Granted | Expires | Claims | Status |
|---|---|---|---|---|---|---|
| 10003546 | System and method for dynamic data processing using lidar | Ford | Sep 26, 2028 | Oct 10, 2044 | 23 | 18.5y left |
| 10003585 | Method for high-performance autonomous AI-driven navigation | Ford | Aug 12, 2028 | Mar 13, 2044 | 37 | 17.9y left |
| 10001501 | System and method for advanced data processing using blockchain | Siemens | Jan 16, 2028 | May 26, 2044 | 17 | 18.1y left |
| 10002050 | System for scalable signal transmission in edge networks | Honeywell | Dec 24, 2027 | May 28, 2044 | 8 | 18.1y left |
| 10003581 | Internal combustion engine with configurable neural system | Ford | Nov 25, 2027 | Mar 6, 2044 | 26 | 17.9y left |
| 10003584 | high-performance electric vehicle nano-scale management system | Ford | Sep 24, 2027 | Feb 15, 2043 | 44 | 16.9y left |
| 10003578 | Method for low-latency neural fuel efficiency | Ford | Jul 6, 2027 | Mar 28, 2043 | 44 | 17.0y left |
| 10001528 | Power conversion system with advanced AI-driven efficiency | Siemens | May 13, 2027 | Dec 18, 2044 | 21 | 18.7y left |
| 10002086 | System for adaptive signal transmission in digital networks | Honeywell | May 11, 2027 | Aug 7, 2044 | 24 | 18.3y left |
| 10002089 | Apparatus for integrated computational operations in lidar environments | Honeywell | Mar 28, 2027 | Jan 15, 2043 | 29 | 16.8y left |
| 10002062 | System for configurable signal transmission in quantum networks | Honeywell | Mar 27, 2027 | Apr 28, 2044 | 44 | 18.1y left |
| 10002068 | Method for distributed MEMS detection and analysis | Honeywell | Jan 11, 2027 | Feb 9, 2043 | 28 | 16.8y left |
| 10001560 | Power conversion system with high-performance analog efficiency | Siemens | Nov 10, 2026 | Aug 27, 2044 | 29 | 18.4y left |
| 10001530 | Power conversion system with dynamic neural efficiency | Siemens | Oct 27, 2026 | Mar 4, 2043 | 18 | 16.9y left |
| 10002054 | System for distributed signal transmission in MEMS networks | Honeywell | Sep 24, 2026 | Nov 19, 2042 | 39 | 16.6y left |
| 10003575 | System and method for enhanced data processing using quantum | Ford | Sep 19, 2026 | Apr 27, 2042 | 29 | 16.1y left |
| 10001378 | System and method for modular data processing using neural | Boeing | Jun 20, 2026 | Jan 15, 2042 | 33 | 15.8y left |
| 10003579 | Method for distributed machine learning inference using 5G | Ford | Jun 12, 2026 | Apr 19, 2044 | 5 | 18.0y left |
| 10001397 | Aircraft MEMS system with advanced design | Boeing | May 6, 2026 | May 9, 2042 | 24 | 16.1y left |
| 10001563 | Method for distributed AI-driven detection and analysis | Siemens | Apr 12, 2026 | Dec 4, 2044 | 48 | 18.7y left |
What Expirations Mean for Control & Regulation
As patents in Control & Regulation 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 Control & Regulation based on their primary CPC classification (G05) 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 Control & Regulation CPC class?
Control & Regulation corresponds to Cooperative Patent Classification (CPC) prefix G05, the international system used by the USPTO and EPO to organize patents by technical subject matter. Patent landscape for Control & Regulation technology (CPC class G05). Covers innovations in control & regulation 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 Control & Regulation?
Siemens (56 patents), Honeywell (55 patents), Boeing (40 patents), Ford (35 patents), Tesla (9 patents) are the leading holders in Control & Regulation. 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 Control & Regulation 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 Control & Regulation expire?
When a patent expires, its claims enter the public domain. For Control & Regulation, 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 Control & Regulation 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.
Sources: U.S. Patent and Trademark Office (PatentsView, Open Data Portal). Public-domain federal data. Cite as: "PatentCliff, Control & Regulation landscape, April 2026. Data: USPTO."
Last updated 2026-04-10 · 195 patents tracked in Control & Regulation.