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Run your analysis now →https://www.patsnap.com/resources/blog/rd-blog/quantum-sensing-and-metrology-patent-landscape-patent-landscape/ · Patsnap · data cut-off 2026-08-31 · downloaded from the live page
Patent Landscape · Quantum Sensing & MetrologyQuantum sensing and metrology patents: who leads, and what's still open
- Concentrated but not locked up. the top 5 assignees hold 31.7% of all 687 records in scope, and the top 10 hold 46.7% — leaving well over half the field to a long tail of single- and few-filing entrants.
- Growth is real, not a spike. filings rose from 82 in 2021 to 100 in 2024, a 22% increase over that span, before a 2023 peak of 124 that the trend has not yet repeated in complete-year data.
- Claims cluster around AI-based processing, not sensor hardware. 71.2% of records carry a G06N (AI-model computing) class, versus 8.3% for G01R electric/magnetic measurement — a sign that control and readout logic, not the sensing element itself, is where claim density sits.
687
Published Records
32%
Top-5 Share of All Records
+22%
Filing Growth 2021→2024
US
Leading Jurisdiction
Filing growth compares 2021 (82 records) with 2024 (100) — 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 687 records in scope (CR5), not by the ranked leaders only.
Published byPatsnap Research··7 min readSourced from Patsnap Eureka
Overview
What this landscape covers
Quantum sensing and metrology patents span devices that exploit quantum states — superposition, entanglement, discrete energy levels — to measure physical quantities with precision beyond classical limits. This dataset pulls 687 published records filed between 2015 and 2026 that combine quantum-sensing terminology with the control and readout language that separates a working sensor architecture from a purely theoretical claim: qubit arrays, quantum gates, control pulses, and calibration references. Publication lags filing by roughly 18 months, so the most recent one to two years in any trend understate actual filing activity.
The scope deliberately favours records that describe how a quantum sensor signal is generated, gated and read out, rather than physics papers dressed as patents. That is why the technology composition below skews toward computing and control classes alongside the expected measurement classes — a useful signal for where the commercial claim activity actually sits.
Filing trend and technology composition, 2015-2026
Source: Patsnap Eureka. Assignee ranking and totals. Derived from a Patsnap search on Quantum Sensing & Metrology 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 687-record corpus: how filing volume has moved year over year, and which technology classes carry the claim weight.
Filing trend, 2017-2026
Filings climbed from 8 in 2017 to a peak of 124 in 2023, with 2021-to-2024 complete-year data showing a 22% rise (82 to 100). 2025 and 2026 figures are still filling in under the usual publication lag and should not be read as a slowdown.
IPC subclass composition
G06N (AI-model computing) appears in 71.2% of the 687 records, far ahead of B82Y nanotechnology applications (13.8%) and the measurement-focused G01R and G01N classes (8.3% and 8.0%). Because records can carry multiple classes, these shares sum to well over 100%; they describe overlap, not a partition of the corpus.
Shares are the percentage of the 687 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 Quantum Sensing & Metrology 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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Representative filing and most-cited records
Representative Filing
Method for Processing a Quantum Sensor Signal
SIEMENS AKTIENGESELLSCHAFT
Various embodiments of the teachings herein include methods for processing a quantum sensor signal of a quantum sensor. An example includes: obtaining a quantum sensor signal including a quantum-physical superposition state with the quantum sensor; and processing the superposition state without prior reduction with quantum information processing.Filed by Siemens, published 2026-07-16 — illustrative of claims that process a superposition state directly, without collapsing it before information extraction.
Most-cited records in this corpus
| # | Publication no. | Patent title | Citations |
|---|---|---|---|
| 1 | US20210157312A1 | Intelligent vibration digital twin systems and methods for industrial environments | 715 |
| 2 | US20220108262A1 | Industrial digital twin systems and methods with echelons of executive, advisory and operations messaging and… | 387 |
| 3 | WO2021108680A1 | Intelligent vibration digital twin systems and methods for industrial environments | 210 |
| 4 | US20230176550A1 | Quantum, biological, computer vision, and neural network systems for industrial internet of things | 176 |
| 5 | WO2022236064A2 | Quantum, biological, computer vision, and neural network systems for industrial internet of things | 121 |
| 6 | US20230176557A1 | Quantum, biological, computer vision, and neural network systems for industrial internet of things | 107 |
| 7 | US20230281527A1 | User interface for industrial digital twin providing conditions of interest with display of reduced dimension… | 102 |
| 8 | US20230186201A1 | Industrial digital twin systems providing neural net-based adjustment recommendation with data relevant to ro… | 101 |
| 9 | WO2024155584A1 | Systems, methods, devices, and platforms for industrial internet of things | 95 |
| 10 | US20230196230A1 | User interface for industrial digital twin system analyzing data to determine structures with visualization o… | 79 |
Citation counts favour older filings that have had more time to accumulate citations within this searched corpus; read them as a signal of influence, not current importance.
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 Quantum Sensing & Metrology 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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What the numbers mean for filing strategy
Three patterns stand out once the raw counts are put in context: where claim density sits, how concentrated ownership is, and what the multi-jurisdiction filing pattern says about where enforcement risk actually lives.
Concentration
31.7%
of 687 records held by top 5
Leadership is real but not exclusionary
The top 5 assignees combine for 31.7% of all 687 records in scope, and the top 10 for 46.7%. That leaves more than half the corpus to a long tail of single- and few-filing entrants, so a new entrant is not filing into a fully closed field.
Based on the 100-company assignee ranking returned by the dataset.
Technology skew
71.2%
of records carry a G06N class
Control and readout logic dominates the claim space
G06N (AI-model computing) appears in 71.2% of records, well ahead of the classical measurement classes G01R (8.3%) and G01N (8.0%). Filers are claiming the processing pipeline around the sensor more heavily than the sensing hardware itself.
Class shares sum above 100% because records carry multiple IPC codes.
Growth
+22%
filings, 2021 to 2024
Momentum is upward through the last complete year
Complete-year filings rose from 82 in 2021 to 100 in 2024, a 22% increase, after touching a 2023 peak of 124. 2025-2026 figures will rise as publications catch up with filing dates.
Publication lag of roughly 18 months means the newest years always understate activity.
Jurisdiction
244
US-received filings, the largest single office
US and PCT routes carry the bulk of filing activity
United States receiving-office filings (244) and WIPO PCT filings (151) together dominate over Europe (118), Australia (46), Canada (31) and India (21), pointing to where freedom-to-operate checks matter most.
Counts are by receiving office, not by inventor nationality.
Eureka AI Agent
Looking for what nobody has claimed yet?
Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to quantum sensing & metrology patent landscape, with the prior art for and against each one.
Source: Patsnap Eureka. Co-assignee relationships and derived observations. Derived from a Patsnap search on Quantum Sensing & Metrology 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
Players
Who is filing, and where the gaps sit
The ranked leaders span large technology companies, university research offices and specialised quantum-computing startups — a mix that reflects how early-stage and applied-research filers coexist in this field. Recent-year momentum data shows several leaders slowing sharply in the latest year, consistent with the publication lag rather than a genuine pullback.
Leader
89
records, the single largest filer
One filer holds a clear lead
The leading assignee's 89 records put it well ahead of fifth place (23) and tenth place (20), a gap that signals sustained, deliberate filing rather than opportunistic single filings.
Counted in records across the 687-record corpus.
Mid-tier
20-23
records for 5th-10th place
A compact second tier, then a long tail
Places five through ten cluster between 20 and 23 records each, forming a recognisable second tier before the ranking thins into single- and few-filing entrants.
From the 100-company assignee ranking.
Collaboration
10
co-assignee pairs identified
Co-filing is concentrated among a few pairs
Ten co-assignee pairs appear in the data, with the strongest university and corporate pairings filing jointly well over a dozen times — evidence of durable research partnerships rather than one-off joint filings.
Strength measured by count of jointly filed records.
Recent-year filing momentum by assignee
| Assignee | Recent year | YoY |
|---|---|---|
| Strong Force IOT Portfolio 2016 LLC | 1 | -50% |
| President and Fellows of Harvard College | 1 | 0% |
| Massachusetts Institute of Technology | 1 | 0% |
| Atom Computing Inc | 1 | -91% |
| Google LLC | 0 | -100% |
| ALIRO TECHNOLOGIES INC | 0 | — |
| Goldman Sachs & Co LLC | 0 | -100% |
| PsiQuantum Corp | 0 | — |
Source: Patsnap Eureka. Assignee-level momentum. Derived from a Patsnap search on Quantum Sensing & Metrology 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 specific next steps depending on whether the goal is freedom-to-operate, whitespace filing, or competitive tracking.
Check freedom-to-operate against the leader's portfolio
With one assignee holding 89 records versus 20-23 for the next tier, any new filing in control-pulse or readout logic should be checked against that leader's claim scope before drafting.
Explore assignee portfolios in EurekaDraft into the under-claimed branches
Sub-areas like distributed calibration protocols and hybrid readout circuits show comparatively light claim density relative to the core corpus, which is where a narrowly drafted first claim has more room to stand.
Map white space in EurekaTrack momentum, not just totals
Recent-year YoY figures swing sharply for several leaders; treat the latest one to two years as provisional and re-check momentum once publication lag has caught up.
Set up assignee monitoring in EurekaSource: Patsnap Eureka. Forward-looking reading of the same dataset. Derived from a Patsnap search on Quantum Sensing & Metrology 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 on quantum sensing patents
One assignee leads the ranked field with 89 records, well ahead of the fifth-place holder at 23 and tenth place at 20. The top 5 assignees combined account for 31.7% of all 687 records in scope, and the top 10 for 46.7%, which leaves more than half the corpus spread across a long tail of smaller filers. This is a concentrated-but-open field rather than one locked up by a single owner, so new entrants still have meaningful room to establish a position.
Yes, based on complete-year data: filings rose from 82 in 2021 to 100 in 2024, a 22% increase, after touching a peak of 124 in 2023. Figures for 2025 and 2026 appear lower in the raw data, but that reflects the roughly 18-month lag between filing and publication rather than a real slowdown. Treat any year within the last 18 months as provisional and expect it to rise as more filings publish.
G06N, the classification for AI-model computing, appears in 71.2% of the 687 records in this corpus, far ahead of the classical measurement classes G01R (8.3%) and G01N (8.0%). That skew indicates most claim activity centres on the control, calibration and signal-processing logic around a quantum sensor rather than on the sensing hardware itself. A filer targeting pure sensing-element hardware is competing in a comparatively less crowded class.
The evidence points to under-claimed branches adjacent to the dense core: distributed sensor-network calibration protocols, quantum-classical hybrid readout circuits, and field-deployable calibration reference standards all sit outside the heaviest claim density in G06N and G01R. These branches still touch the same technical vocabulary as the core corpus, which lowers examiner-mismatch risk while avoiding the most crowded claim territory. A first claim there is more likely to stand on narrower, specific language than a broad control-pulse claim would be.
The United States receives the largest share of filings at 244 records, followed by the WIPO PCT route at 151 and the European Patent Office at 118. Australia, Canada and India follow at meaningfully lower volumes (46, 31 and 21 respectively). Anyone assessing freedom-to-operate risk should prioritise US and PCT prior art searches first, since that is where the bulk of enforceable claim scope currently sits.
Answers are grounded in the same dataset. Derived from a Patsnap search on Quantum Sensing & Metrology 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.