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Gate-Level Netlist Optimization Patents: Leaders & Trends 2026

Gate-Level Netlist Optimization Patents: Leaders & Trends 2026
https://www.patsnap.com/resources/blog/rd-blog/eda-and-chip-design-gate-level-netlist-optimization-patent-landscape-patent-landscape/ · Patsnap · data cut-off 2026-08-31 · downloaded from the live page
Patent Landscape · Semiconductors & Microelectronics
Gate-Level Netlist Optimization Patents: Who Holds the Claim Space

A patent landscape review of gate-level netlist optimization covering assignee concentration, filing trends, IPC composition and white space across 236 records published 2015-2026.

236
Published Records
44%
Top-5 Share of All Records
+100%
Filing Growth 2021→2024
US
Leading Jurisdiction

Filing growth = 2021 (3 records) → 2024 (6); 2024 is the last year we treat as complete. Top-5 share = the 5 largest assignees ÷ all 236 records in scope (CR5), not the ranked leaders only.

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Published byPatsnap Research··6 min readSourced from Patsnap Eureka
Overview

What this landscape covers

Gate-level netlist optimization sits at the intersection of logic synthesis and physical design: restructuring, resynthesizing or remapping a netlist to hit timing, area or power targets after the logic network already exists. This landscape draws on 236 published records filed between 2015 and 2026, gathered from title/abstract and claims text matching netlist, gate-level and logic-synthesis optimization language alongside timing, area and power qualifiers. Patent families, not raw filings, are the fairer unit here because they neutralise continuation practice and multi-jurisdiction duplication.

The scope leans heavily on US filings, with the WIPO/PCT, Chinese, Indian, European and German offices contributing smaller but active shares. Because publication lags filing by roughly 18 months, the most recent one to two years in any trend chart will always look thinner than they will eventually be once later publications catch up.

Filing activity and technology composition, 2015-2026
  1. 1SYNOPSYS INC31
  2. 2CADENCE DESIGN SYST INC23
  3. 3ALTERA CORP22
  4. 4XILINX INC16
  5. 5BELL SEMICONDUCTOR LLC11
  6. 6SIEMENS INDUSTRY SOFTWARE INC8
  7. 7INTERNATIONAL BUSINESS MACHINE CORPORATION8
  8. 8OXFORD BROOKES UNIVERSITY7
  9. 9GLOBALFOUNDRIES INC5
  10. 10TAIWAN SEMICONDUCTOR MANUFACTURING CO LTD5
Source: Patsnap Eureka. Assignee ranking and totals. Derived from a Patsnap search on EDA & Chip Design: Gate-Level Netlist Optimization Patent Landscape covering 2015–2026, data cut-off 2026-08-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
The data

Filing trends and technology composition

Two views of the same 236-record dataset: how filing activity has moved year over year, and which IPC subclasses the records are actually claimed under.

Filing activity, 2017-2026

Filings climbed from 7 in 2017 to a peak of 15 in 2022, then eased; the 2021-to-2024 span shows filings roughly doubling from 3 to 6, which is the most recent stretch that can be read as a complete trend given publication lag. Treat 2025 and 2026 figures as provisional undercounts rather than evidence of a slowdown.

Filing activity, 2017-2026048111572017201820192020202115202220232024202542026Most recent year is partial — publication lag means later filings are not yet visible.

Publication lags filing by roughly 18 months, so 2025 onwards are still filling in. Growth rates on this page therefore end at 2024; running them to the last bar would understate the field.

Technology composition by IPC subclass

G06F (electric digital data processing) covers 96.6% of the 236 records, confirming this is overwhelmingly an EDA-software domain. H01L (semiconductor devices, 8.1%), G01R (electric and magnetic measurement, 5.5%) and G06N (AI-based computing, 3.4%) trail well behind, marking smaller but present cross-filing into device, test and machine-learning-assisted design territory. Because a single record can carry several IPC codes, these shares add up to more than 100% and should not be read as a partition of the field.

Technology composition by IPC subclassG06F · Electric digital data processi…22896.6%H01L · Semiconductor devices198.1%G01R · Electric & magnetic measurement135.5%G06N · Computing based on AI models83.4%H03K · Pulse technique & logic circui…62.5%H04L · Digital information transmissi…52.1%H04W · Wireless communication networks41.7%C12N · Microorganisms & genetic engin…31.3%Other2611.0%

Shares are the percentage of the 236 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.

Source: Patsnap Eureka. Filing trend and technology composition. Derived from a Patsnap search on EDA & Chip Design: Gate-Level Netlist Optimization Patent Landscape covering 2015–2026, data cut-off 2026-08-31. Counts reflect published records only and shift as new filings publish.

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Key patents

Representative filing and most-cited prior art

Representative filing
US9646126B12017-05-09

US9646126B1 — Post-routing structural netlist optimization for circuit designs (Xilinx, 2017-05-09)

XILINX, INC.

Post-routing processing of a circuit design may include determining, using a processor, a baseline delay for a path of a routed circuit design, comparing, using the processor, the baseline delay of the path with a timing constraint of the path, and selectively applying, according to the comparing, a structural netlist optimization to the path resulting in an optimized path using a processor.Filed after routing rather than before it — the claim scope turns on applying structural changes to an already-routed path once a timing constraint comparison flags a violation.

US9646126B1 — patent drawing 1US9646126B1 — patent drawing 2
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Most-cited records in this landscape
#Publication no.Patent titleCitations
1US6324678B1Method and system for creating and validating low level description of electronic design272
2US5933356AMethod and system for creating and verifying structural logic model of electronic design from behavioral desc…266
3US7225423B2Method for automated design of integrated circuits with targeted quality objectives using dynamically generat…246
4US20080168406A1Methods and apparatuses for thermal analysis based circuit design213
5US5903466AConstraint driven insertion of scan logic for implementing design for test within an integrated circuit design165
6US20010010090A1Method for design optimization using logical and physical information164
7US6360356B1Creating optimized physical implementations from high-level descriptions of electronic design using placement…162
8US7337100B1Physical resynthesis of a logic design150
9US5491640AMethod and apparatus for synthesizing datapaths for integrated circuit design and fabrication119
10US6622291B1Method and apparatus for physical budgeting during RTL floorplanning107

Citation counts favour older filings inside a searched corpus and should be read as a signal of influence on downstream design tools, not as a marker of current commercial relevance.

Each row carries its publication number; clicking a row searches Eureka by that number.

Source: Patsnap Eureka. Citation counts and representative records. Derived from a Patsnap search on EDA & Chip Design: Gate-Level Netlist Optimization Patent Landscape covering 2015–2026, data cut-off 2026-08-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
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Insights

What the numbers mean for a filing decision

Four readings of the same dataset, aimed at where to file, who to watch and what is genuinely open.

Concentration
43.6% of 236 records
held by the top 5 assignees

Claim space is concentrated at the top

Five assignees account for 103 of the 236 records in scope, and the top ten combined reach 57.6%. A new entrant filing broad netlist-restructuring claims is filing directly into prior art held by a small group of established EDA and semiconductor players.

Ranking reflects the full 92-company assignee list, not a top-50 or top-100 cut.
Growth
3 → 6 filings, 2021-2024
+100% over three years

Activity has roughly doubled, not slowed

The peak year so far is 2022 at 15 filings, and the 2021-to-2024 span shows filings doubling. Because publication lags filing by about 18 months, the softer-looking 2025-2026 counts are provisional and should not be read as declining interest.

Read growth from complete years only; 2025 onward will still fill in.
Technology mix
96.6% in G06F
vs. 8.1% in H01L

This is a software-method field, not a device field

Almost every record carries a G06F digital-data-processing classification, while device-level (H01L), measurement (G01R) and AI-assisted (G06N) classes are minority cross-filings. Drafting strategy should follow that: claims anchored in circuit-design methodology carry the weight here, not physical structure.

IPC shares sum above 100% because records carry multiple classes.
Jurisdiction
172 US filings
of the receiving offices tracked

Filing activity is centred on the US office

The United States receives far more filings than WIPO/PCT, China, India, Europe or Germany combined in this dataset. Defensive filers targeting this space should treat US prosecution history as the primary prior-art pool to clear before drafting new claims.

Receiving office counts are not mutually exclusive with family counts.
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Source: Patsnap Eureka. Co-assignee relationships and derived observations. Derived from a Patsnap search on EDA & Chip Design: Gate-Level Netlist Optimization Patent Landscape covering 2015–2026, data cut-off 2026-08-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
What's next

Where to take this analysis

The dataset points to a few concrete next steps depending on what you are trying to decide.

Map your own claims against the top assignees

If you are drafting in netlist restructuring, technology mapping or timing/area/power optimization, run your draft claims against the records held by the leading five assignees before filing.

Explore assignee claim coverage in Eureka

Track the 2022 peak and post-peak filings

Filings peaked in 2022 at 15; understanding what shifted in the years around that peak helps separate a genuine technology pivot from ordinary filing noise.

Build a custom filing trend in Eureka

Watch the G06N cross-filing

AI-based computing (G06N) already touches 3.4% of records — a small but present signal of machine-learning-assisted netlist optimization entering an otherwise classical EDA field.

Monitor emerging IPC overlap in Eureka
Source: Patsnap Eureka. Forward-looking reading of the same dataset. Derived from a Patsnap search on EDA & Chip Design: Gate-Level Netlist Optimization Patent Landscape covering 2015–2026, data cut-off 2026-08-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
FAQ

Common questions about this landscape

Answers are grounded in the same dataset. Derived from a Patsnap search on EDA & Chip Design: Gate-Level Netlist Optimization Patent Landscape covering 2015–2026, data cut-off 2026-08-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP

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Disclaimer. This page is generated from Patsnap Eureka data drawn from a limited snapshot of global patent and scientific-literature records, and is provided for general information and reference only.

Patent data carries inherent limitations: recent filings (typically the most recent 18–24 months) are under-counted due to standard publication lag; counts may be reported at either a patent-family or a patent-record basis and are not always directly comparable; classification, applicant-name, and citation data may contain errors, duplicates, or omissions; and the underlying search query defines and constrains the scope shown. As a result, the analysis may be incomplete or inaccurate and may not reflect the full technology landscape.

Nothing on this page constitutes an exhaustive prior-art, novelty, freedom-to-operate, or validity search, nor does it constitute legal, financial, investment, or professional advice, and it should not be relied upon as such. Any patent, commercial, or strategic decision should be verified independently and reviewed with qualified patent, legal, and domain professionals. Patsnap makes no warranties, express or implied, as to the accuracy, completeness, or fitness for any particular purpose of the information presented.

Machine translation. Assignee and organisation names originally recorded in Chinese, Japanese or Korean have been rendered into English by an AI translation step so that the tables stay readable. These renderings are best-effort and may not match a company’s registered English name; the original name is what the underlying patent record carries, and it is what any Eureka query launched from this page uses.

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