Book a demo

GaN Micro/Chip-Scale LED Patent Snapshot 2026

GaN Micro/Chip-Scale LED Patent Snapshot 2026
Evidence Snapshot
GaN Micro/Chip-Scale LED Patent Snapshot in 2026

The GaN micro/chip-scale LED patent corpus is small and highly concentrated, with academic institutions — led by Yale University and Peking University — holding the dominant positions. Filing activity has been episodic rather than sustained, and the field’s competitive structure is still being shaped by a handful of research-driven applicants.

12
Patent families in scope
N/A
Concentration not assessed
N/A
Growth trend not assessed
China
Leading jurisdiction
↗ Tap any metric to explore the underlying patents and uncover deeper insights in Patsnap Eureka
Published byPatsnap Insights Team··5 min readVerified by Patsnap Eureka data
Overview

Yale University and Peking University lead a tight, academically dominated field

Yale University holds the largest share of documented filings, followed closely by Peking University, with three additional applicants each contributing a single patent family. Together, the top five filers account for all activity within the ranked applicants visible in this query — an unusually high concentration signalling that commercial entities have yet to establish a meaningful patent presence.

The tier gap between the top two is narrow: Yale University leads with 5 patent families and Peking University follows with 4, leaving the remaining three applicants — Tectus Corp, Shenzhen University, and Hubei Jiufengshan Lab — at one family each. There is effectively no second-tier cluster.

Leading applicants
#ApplicantPatent familiesShare
1Yale University5
2Peking University4
3Tectus Corporation1
4Shenzhen University1
5Hubei Jiufengshan Laboratory1
↗ Hover a row · click a company to ask Eureka

The dominance of two research universities and one national laboratory signals that foundational, device-architecture IP is being established in academia before large semiconductor manufacturers have entered. This creates both freedom-to-operate questions around the Yale nanoporous micro-LED work and potential licensing leverage for early commercial entrants.

Filings from the most recent 18–24 months are typically under-counted due to publication lag; the corpus of 12 patent families should be treated as a minimum floor for the period examined. Longer-window growth, applicant concentration, and technology-route coverage are therefore more reliable signals than the latest-year bar alone.

Source: Patsnap Eureka. Chart shows the top applicants ranked by patent families. Applicant counts can overlap where a patent family lists several applicants, so they need not sum to the total in scope. This same dataset is now available on Patsnap Open Platform via MCP.Connect via MCP →
Trends & Structure

Episodic filing bursts and near-total dominance of semiconductor device classifications

The annual filing trend reveals two discrete bursts of activity rather than a steady ramp, while the technology composition is almost entirely anchored in semiconductor device IPC classes. These two patterns together suggest the field is in an exploratory, pre-commercial phase.

Annual filing trend

Filings clustered in two periods — 2018 and 2022 — with single-family years in 2023 and 2025 and no recorded activity in the intervening years. This episodic pattern is consistent with a field driven by discrete research programmes rather than continuous commercial development. The apparent zero for 2024–2026 should be read cautiously given publication lag.

Annual filing trendAnnual values from 2017 to 2026, peaking at 5 in 2018.02017520180201902020020215202212023020241202502026↗ Hover for values · click a bar to ask Eureka

Technology composition

The H01L semiconductor devices class accounts for all 12 patent families, confirming that device architecture and fabrication are the primary focal areas. C09K (materials for miscellaneous applications), C30B (crystal growth), and H10H (light-emitting semiconductor devices) each appear once, flagging adjacent technical directions that remain sparsely covered.

Technology compositionH01L · Semiconductor devices leads with 12; C09K · Materials for misc. applications 1.H01L · Semiconductor dev…12C09K · Materials for mis…1C30B · Crystal growth1H10H · Light-emitting se…1↗ Hover for values · click a bar to ask Eureka
Source: Patsnap Eureka. Technology-branch counts are measured in patent records; a single patent family can carry several IPC classes, so class totals can exceed the family total in scope.Explore deeper in Eureka →
Key Patents

Highly cited patent families surfaced by the query

Citation-heavy patent families returned by the query. Use this section as citation context, not as a curated list of the most topic-specific patents.

Featured patent
US20200152841A1Published 2020-05-14

Nanoporous micro-led devices and methods for making

Yale University

The present invention provides LED devices comprising gallium nitride LED diodes, at least a portion of which have been modified with color-converting quantum dots. The invention also provides methods of fabricating the LED devices of the invention. (excerpt from the patent abstract)

Nanoporous micro-led devices and methods for making — patent drawingNanoporous micro-led devices and methods for making — patent drawing
Representative drawings from the patent document.
Open this patent in Eureka →
Highly cited patent families surfaced by this query
#PatentCitations
1Nanoporous micro-led devices and methods for making51
2Nanoporous micro-led devices and methods for making43
3纳米多孔微LED器件及其制造方法13
4一种外延片及其制备方法4

Ranked by total forward citations. Citation counts favour older and broadly cited patent families, and broad or adjacent patents may appear when they match the search scope. Treat this section as citation context, not as a curated list of the most topic-specific patents. Some patent titles may be shown in their original, non-English language where an accurate translation could not be guaranteed.

Source: Patsnap Eureka. Citation-ranked patent families surfaced by this query.Open in Eureka →
Visible assignees

Assignee snapshot from the current evidence set

The applicants below are visible in this query result. Because the evidence set is relatively small, read this section as a directional snapshot rather than a full competitive ranking.

Leader · Yale University

Yale University

Yale University holds 5 patent families, the largest share in this corpus, concentrated in H01L 33 semiconductor device structures and extending into C09K 11 phosphor/luminescent materials and H01L 25 multi-component assemblies. The most-cited works in the dataset — the nanoporous micro-LED devices and methods series — originate from this group, with citation counts of 51 and 43 recorded. No momentum trend data is available for Yale in the applicant momentum evidence, suggesting its core filing activity predates the recent measurement window.

families: 5
Challenger · Peking University

Peking University

Peking University holds 4 patent families and is flagged as a new entrant in the applicant momentum data, with all 4 recent-window filings representing a fresh entry into this corpus. Its technical focus spans both H01L 27 (semiconductor devices — arrays and integrated circuits) and H01L 33 (LED-specific device structures), indicating an approach that links micro-LED device design to larger-scale integration. This trajectory positions Peking University as the most active emerging challenger.

families: 4
🔍
More assignee evidence is available in Eureka
Use Eureka to validate whether these visible assignees remain central after refining the query scope and adding related patent classes.
Tectus CorpHubei Jiufengshan Lab+ more
Unlock full assignee analysis →
Source: Patsnap Eureka. Assignee evidence is drawn from the current PatSnap Eureka query. In small evidence sets, applicant counts should be treated as directional signals, not a complete competitive ranking.Explore players →
Frequently asked questions

Frequently asked questions

Still have questions? Patsnap Eureka answers them from patent and research data.Ask Eureka →

Built on Patsnap Open Platform

This report’s underlying patent dataset — filings, assignees, technology clusters — is open for developers via MCP and REST API. Free to start, 10,000 credits, no credit card required.

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.

Explore in Eureka ↗
Powered by Patsnap Eureka

Help us improve this page

Found incorrect or outdated information? Let us know and we'll get it fixed.