Eureka on the web
When you want the answer in the next five minutes.
The agent works the prompt against patents and technical literature, citing every source.
Run your analysis now →A data-backed look at quantum gravimeter patent filings: who leads a fragmented field, how filings grew fivefold from 2021 to 2024, and where the technology white space sits across geophysics, drilling and AI-assisted se
Filing growth = 2021 (1 records) → 2024 (6); 2024 is the last year we treat as complete. Top-5 share = the 5 largest assignees ÷ all 27 records in scope (CR5), not the ranked leaders only.
Quantum gravimeters use atom interferometry or related quantum-coherent effects to measure gravitational acceleration with a precision that classical spring or superconducting-bearing gravimeters cannot match. The 27 records in scope span 2015 through the 2026 cut-off, and the claim language ranges from downhole drilling tools to satellite-borne gravity mapping. Most of the activity sits inside geophysics and gravity surveying (G01V), but a meaningful slice of recent filings pairs the sensor with AI-based signal processing (G06N), suggesting the next competitive layer is in interpretation, not just measurement.
The assignee field is unusually open for a quantum-hardware category: the leader holds only 4 of 27 records, and combined concentration at the top stays well under half the corpus. That points to a technology still being staked out, not one already fenced in by a handful of incumbents.
Pick a task. Every answer cites the patents behind it.
Two views of the same 27-record corpus: how filing volume moved year over year, and which IPC subclasses carry the claim language.
Annual filings rose from 1 record in 2017 to a peak of 8 in 2025, with the most reliable growth signal being the 2021-to-2024 span, where filings went from 1 to 6 — a +500% increase. 2025 and 2026 figures will keep rising as publication catches up with filing, since publication typically lags filing by around 18 months; treat the most recent two years as a floor, not a ceiling.
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.
G01V (geophysics and gravity surveying) appears in 63.0% of the 27 records, making it the dominant claim area by a wide margin. G06N (AI-based computing) follows at 25.9%, and E21B (earth and rock drilling) at 14.8% shows a concrete downhole application. The remaining subclasses — material analysis, optical modulation, lasers, transmission and navigation — each sit at 7.4% or below, marking narrower, more exploratory claim territory. Because a single record can carry several IPC codes, these shares add up to more than 100% of the record total.
Shares are the percentage of the 27 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.
This page is one run against one query. Ask Eureka your own question about quantum sensing & metrology: quantum gravimeter patent landscape and every answer comes back with the patent numbers behind it.
Try EurekaA quantum measuring system comprises a satellite, a quantum tip, a quantum gravimeter, and a data processing system. The quantum gravimeter and the data processing system are onboard the satellite. The quantum tip comprises spaced apart high precision clocks that are physically supported by the satellite. The quantum tip and the quantum gravimeter are in data communication with the data processing system, which combines structural data from an alternative modality sensor with functional gravity-related data from the quantum tip and quantum gravimeter.Filed by Canadian Space Mining Corporation, this is one of the most recent entries in the corpus and points to satellite-based subsurface mapping as an emerging application beyond terrestrial and downhole survey work.


| # | Publication no. | Patent title | Citations |
|---|---|---|---|
| 1 | US6079267A | Method and apparatus for measuring gravitational acceleration utilizing a high temperature superconducting be… | 25 |
| 2 | US10371856B1 | Zero dead-time gravimeter | 7 |
| 3 | WO2008140498A1 | Gravitational tomography technique for determining a mass distribution | 5 |
| 4 | WO2025073060A1 | Quantum anomaly subsurface mapper | 4 |
| 5 | CN114499693A | 基于相参累积的多物理场量子测量组网方法 | 2 |
| 6 | CN121831934A | 用于绝对量子重力仪的动态姿态稳定平台及其控制方法 | 1 |
Citation counts reflect influence within the searched corpus and skew toward older filings; a 2025 filing with fewer citations may still be more relevant to current claim boundaries.
Patent titles are shown in the language they were filed in, not translated, so that each record stays verifiable against the original filing — a translated title will not match in Eureka or in any national register. Publication numbers are shown where the record carries one (6 of 6 rows); clicking a row searches Eureka by that number.
When you want the answer in the next five minutes.
The agent works the prompt against patents and technical literature, citing every source.
Run your analysis now →When it has to run inside your own pipeline.
Patent search, landscape analysis and assignee resolution as MCP tools. Drop them into any agent framework, or call REST directly.
Browse MCP servers →Four data points that matter more for strategy than the raw counts alone.
The leading assignee holds just 4 of the 27 records in scope, and the top 5 combined account for 44.4% of all filings. That is concentration without dominance — no single filer has locked down the category, which leaves room for a well-drafted claim to matter.
Filings moved from 1 in 2021 to 6 in 2024, a five-fold increase over three years. That is the most reliable growth read in the dataset because 2024 is the most recent year publication delay has fully cleared; treat 2025-2026 counts as still filling in.
Nearly two-thirds of records sit in G01V (geophysics and gravity surveying), the expected core. G06N (AI-based computing) at 25.9% is the second-largest class, signalling that signal processing and interpretation layers are becoming as contested as the sensor hardware itself.
India leads receiving offices with 8 filings, ahead of China at 6, the United States at 5 and WIPO/PCT at 5. That spread suggests the technology is being staked out across multiple national programmes rather than funnelled through a single dominant jurisdiction.
Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to quantum sensing & metrology: quantum gravimeter patent landscape, with the prior art for and against each one.
The dataset points to a fragmented, fast-growing field with room to move — the next step is deciding where your own claims would sit inside it.
Before drafting, check how a proposed claim overlaps with the highest-cited records in this set, particularly the zero dead-time and gravitational tomography approaches that anchor the prior art.
Explore the citation network in EurekaG06N's 25.9% share is growing inside a still-open field; a claim pairing quantum sensing hardware with a specific inference or calibration method may face less crowded prior art than pure hardware claims.
Run a white space search in EurekaWith concentration at only 44.4% for the top 5, single-filing entrants may hold narrow but useful claims worth monitoring for licensing or acquisition rather than direct competition.
Monitor new entrants in EurekaThe tracked corpus contains 27 published records spanning 2015 through the 2026 data cut-off, ranked across 38 distinct assignees. This is a small, young field compared to most sensor categories, which is consistent with quantum gravimetry only recently moving from laboratory demonstration to filed intellectual property. Because publication lags filing by roughly 18 months, the true 2025-2026 filing count will be higher once later applications publish.
No single company dominates the field: the leading assignee holds only 4 of the 27 records, and the top 5 assignees combined account for 44.4% of all filings. The top 10 assignees together reach 63.0% of records, meaning more than a third of the field is held by entities with just one or two filings each. This long-tail structure suggests the technology is still being staked out rather than controlled by an established incumbent.
Filing volume grew from 1 record in 2021 to 6 in 2024, a roughly five-fold increase over three years, with the peak year so far being 2025 at 8 records. The growth spans multiple applications, from geophysical survey and downhole drilling tools to satellite-based gravity mapping, rather than being driven by one use case. Readers should treat the most recent one to two years as understated, since publication typically lags actual filing by about 18 months.
The dominant classification is G01V, geophysics and gravity surveying, which appears in 63.0% of the 27 records. G06N, covering AI-based computing methods, is the second most common at 25.9%, followed by E21B for earth and rock drilling at 14.8%. Smaller shares in optical modulation, lasers, material analysis, transmission and navigation classes point to narrower or more exploratory applications still being defined.
The clearest opening is around the intersection of sensing hardware and AI-assisted signal processing, since G06N-tagged records already make up a quarter of the corpus but the specific inference or calibration methods used remain thinly claimed. Applications outside pure geophysical survey, such as the drilling and satellite-based mapping approaches seen in recent filings, also show less claim density than the core G01V category. Any new filing should still be checked against the most-cited prior art, particularly the zero dead-time and gravitational tomography approaches that anchor this field.
Go past this page: query the whole quantum sensing & metrology: quantum gravimeter patent landscape corpus yourself, in your own scope.
Every answer comes back with patent numbers you can open.
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.