Optical Sensing Patents: Who Leads, Where the Gaps Are 2026
- Leadership is real but not locked in. the top 5 assignees hold just 10.8% of all 275,947 records in scope, and the top 10 only 16.6% — concentration without a lockout.
- Filing has cooled from its 2020 peak. filings ran from 1,176 in 2021 to 718 in 2024, a 39% decline over that span, before the usual 18-month publication lag makes 2025-2026 look artificially thin.
- No single IPC class dominates. the largest subclass, material analysis and testing (G01N), still covers only 1.3% of records, meaning claim activity is spread thin across optics, imaging and semiconductor classes rather than piled into one.
Filing growth compares 2021 (1,176 records) with 2024 (718) — a three-year span. 2024 is the most recent year we treat as complete: publication lags filing by roughly 18 months, so 2025 onwards are still filling in and any growth rate that ends there would understate the field. Top-5 share is the combined record count of the five largest assignees divided by all 275,947 records in scope (CR5), not by the ranked leaders only.
What the optical sensing filing record actually shows
Optical sensing sits at the intersection of imaging hardware, light-measurement physics and the software that turns raw signal into a usable feature or object detection. The search set spans 275,947 published records filed or published between 2015 and the 2026 cut-off, covering everything from image-sensor pixel design to diagnostic light-based instruments. Filing volume is high, but no single assignee or IPC subclass controls a decisive share of it — this is a crowded field with room still open at its edges, not a field with one gatekeeper.
The practical read for anyone filing next is that dense claim space clusters around a handful of IPC subclasses tied to imaging and material analysis, while the assignee ranking shows a leader with meaningful share but a long tail of single-digit-share filers behind it. That combination — moderate concentration, broad technical spread — is what makes freedom-to-operate work here more about class-by-class mapping than about clearing one dominant portfolio.
Filing trend and technology composition
Two views of the same 275,947-record set: how filing activity moved year over year, and which IPC subclasses carry the claim density today.
Filing rose to a 2020 peak, then eased back
Annual filings ran from 1,030 in 2017 to a peak of 1,330 in 2020, then declined to 718 by 2024 (down from 1,176 in 2021, a 39% drop over that three-year span). Counts for 2025 and 2026 are still incomplete because publication trails filing by roughly 18 months — read the last two bars as a floor, not a trend.
Claim density spreads across eight core IPC subclasses
G01N (material analysis and testing) leads at 1.3% of all records, followed by H04N (pictorial communication) at 1.2% and G02B (optical elements and systems) at 1.1%. Because a single record can carry several IPC classes, these shares add up to more than 100% of the 275,947-record total — they describe overlap in claim scope, not a partition of the field.
Shares are the percentage of the 275,947 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.
Go deeper on Optical Sensing Patent Landscape with Eureka
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Try EurekaThe records shaping this field
US20200380710A1 — Optical sensing and 3D reconstruction in turbid media
Filed by the University of Connecticut, this application describes a light source and image sensor array positioned in or around turbid media (fog, turbid water) to capture multi-perspective video frames, reconstruct three-dimensional images per frame, and combine them into a 3D video sequence — extending optical sensing into environments where direct line-of-sight imaging normally fails.Published 2020-12-03.
| # | Publication no. | Patent title | Citations |
|---|---|---|---|
| 1 | US9737301B2 | Monitoring device degradation based on component evaluation | 2,447 |
| 2 | US20130127980A1 | Video display modification based on sensor input for a see-through near-to-eye display | 1,897 |
| 3 | US5769791A | Tissue interrogating device and methods | 1,728 |
| 4 | US20130201316A1 | System and method for server based control | 1,726 |
| 5 | US6869430B2 | Tissue biopsy and treatment apparatus and method | 1,672 |
| 6 | US20190201104A1 | Surgical HUB spatial awareness to determine devices in operating theater | 1,666 |
| 7 | US6311214B1 | Linking of computers based on optical sensing of digital data | 1,287 |
| 8 | US20040105264A1 | Multiple Light-Source Illuminating System | 1,261 |
| 9 | US20160270656A1 | Methods and systems for diagnosing and treating health ailments | 1,201 |
| 10 | US20120075168A1 | Eyepiece with uniformly illuminated reflective display | 1,186 |
Citation counts favour older filings simply because they have had more time to accumulate citations inside this corpus — treat this table as a map of historical influence, not of current commercial priority.
Each row carries its publication number; clicking a row searches Eureka by that number.
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Three read-throughs from the concentration, trend and citation figures above.
No single filer controls the field
The leading assignee holds 7,898 records and the top 5 combined reach only 10.8% of all records in scope. That leaves most of the filing space held by mid-size and single-filing entrants, which is exactly where freedom-to-operate analysis needs to be class-specific rather than assignee-specific.
Volume is down from its 2020 peak, not necessarily demand
Filings fell from 1,176 in 2021 to 718 in 2024. Several of the most active historical filers show sharp year-over-year declines in the latest available year, but that latest year is still filling in under the usual 18-month publication lag, so treat the drop as a slowdown from peak activity rather than a verdict on the field's future.
Claim density is spread, not stacked
The busiest IPC subclass, G01N, still accounts for only 1.3% of all records, with H04N and G02B close behind. That spread across imaging, optics, semiconductor and diagnostic classes means dense prior art in one subclass rarely blocks a claim written against an adjacent one.
Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to optical sensing patent landscape, with the prior art for and against each one.
Leaders, collaborators and where the room is
The ranking spans 100 companies counted by record volume. It shows a leader with clear scale, several tightly-linked co-filing pairs, and a wide gap below the top 10 where activity thins fast.
Scale without exclusivity
The top-ranked assignee's 7,898 records give it the largest single share of the field, but that share still leaves the majority of filing activity with everyone else — consistent with a technology area defined by many parallel implementations rather than one controlling architecture.
Sensor makers pair with research and sibling entities
The strongest co-assignee links pair a large electronics manufacturer with a research institute, and pair sibling entities within the same corporate group — a pattern typical of sensor hardware being co-developed with either academic optics groups or an internal semiconductor arm.
Several historical leaders have gone quiet in the latest year
Multiple assignees with meaningful historical filing counts show steep year-over-year declines — some to zero — in the most recent year tracked. Given the publication lag, this likely reflects incomplete data more than an actual pullback, but it is worth confirming directly with any specific assignee before drawing conclusions.
| Assignee | Recent year | YoY |
|---|---|---|
| Apple Inc. | 3 | -86% |
| Samsung Electronics Co., Ltd. | 1 | -94% |
| Koninklijke Philips N.V. | 0 | -100% |
| PixArt Imaging Inc. | 0 | -100% |
| Shenzhen Goodix Technology Co., Ltd. | 0 | -100% |
| Trinamix GmbH | 0 | -100% |
| Silverbrook Research Pty Ltd | 0 | — |
| Sony Semiconductor Solutions Corporation | 0 | -100% |
Where to take this analysis
The figures above establish the shape of the field. Turning that into a filing or freedom-to-operate decision means going deeper on the specific claims and assignees that matter to your own work.
Check claim scope against a specific IPC subclass
Concentration figures at the whole-field level hide how dense any one subclass, like G01N or G02B, actually is for the claim you want to write.
Explore IPC-level detail in EurekaTrack a specific assignee's momentum, not the field average
Field-wide filing decline mixes assignees pulling back with assignees whose recent filings simply have not published yet.
Set up assignee tracking in EurekaSearch the white space before assuming it is empty
Under-claimed sub-areas identified from IPC composition still need a direct prior-art search before a first claim is drafted against them.
Run a white space search in EurekaCommon questions about the optical sensing patent landscape
The assignee ranking behind this dataset covers 100 companies, with the leader holding 7,898 records. That leader's share, along with the rest of the top 5, only adds up to 10.8% of the 275,947 records in scope, so no single company controls the field outright. Anyone doing competitive tracking should look at the full ranked list rather than assuming the top filer sets the terms for the whole space.
Filings rose from 1,030 in 2017 to a peak of 1,330 in 2020, then declined to 718 by 2024, a 39% drop from the 1,176 filed in 2021. That decline is measured only through 2024 because publication typically lags filing by about 18 months, which makes 2025 and 2026 figures look artificially low. Treat the recent slowdown as real through 2024, but reserve judgment on the most current years until more filings publish.
The densest IPC subclass is G01N, material analysis and testing, at 1.3% of all 275,947 records, followed by H04N (pictorial communication) at 1.2% and G02B (optical elements and systems) at 1.1%. Because a single patent record can carry multiple IPC classes, these percentages overlap rather than summing to 100%, and the eight core subclasses tracked span imaging, semiconductor and diagnostic applications in addition to pure optics.
The evidence points to under-claimed ground adjacent to the dense classes: turbid-media optical reconstruction, multi-dimensional integral imaging, non-line-of-sight light propagation sensing, and hybrid diagnostic-imaging optical probes all sit next to high-density subclasses like G01N and G02B without matching their filing volume. A representative example is US20200380710A1, which claims 3D reconstruction through turbid media using multi-perspective imaging — a specific technical route rather than a broad sensing concept. Confirming these gaps still requires a targeted prior-art search before drafting, since low visible volume is not the same as an open field.
This University of Connecticut application claims a specific combination: a light source and image sensor array positioned in or near turbid media, capturing multi-perspective video frames, reconstructing a 3D image per frame, and combining those into a 3D video sequence. It does not block optical sensing generally, or even 3D reconstruction generally — it blocks that particular pipeline for turbid or obscured media. Anyone building sensing systems for clear-media or single-frame applications, or using a different reconstruction method, is likely working outside its claim scope, though a formal freedom-to-operate opinion should confirm the exact claim language.
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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.