Urban Environmental Monitoring Patents: Who Leads, Where the Gaps Are 2026
- Filing is small but rising. records run from 2 in 2017 to 8 in 2026, the highest year on record even though the latest year is still incomplete in the published data.
- The top 5 assignees already cover most of the field. 8 of the 13 records in scope, 61.5%, sit with the top 5 filers, and the top 10 account for every record in scope.
- Filings cluster in sensing and AI, not in deployment infrastructure. G01N material analysis and G06N AI-based computing lead the IPC mix, while lighting and district-system classes each hold a single record.
Top-5 share is the combined record count of the five largest assignees divided by all 13 records in scope (CR5), not by the ranked leaders only.
What the record actually covers
Urban environmental monitoring sits at the intersection of sensor hardware, AI-based data processing and municipal data platforms. The 13 records in scope span 2015 to 2026 and combine gas and air-quality sensing, occupancy and building digital-twin concepts, and district-level energy or environmental systems. Filings arrive from India, the United States, China and the WIPO PCT route, with India contributing the largest single share of receiving-office filings.
The dataset is small enough that individual filers move the ranking meaningfully, and the most recent year is understated because publication typically lags filing by around 18 months. Read the trend as directional, not as a finished count for 2026.
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Filing trend and technology composition
Two views of the same 13 records: how filing activity has moved year over year, and which IPC subclasses carry the claims.
A small field with a recent uptick
Filings moved from 2 in 2017 to a peak of 8 in 2026. With fewer than four complete years once the publication lag is accounted for, no growth rate can be stated reliably from this trend alone.
Sensing and AI dominate; lighting and district systems barely appear
G01N (material analysis & testing) covers 46.2% of the 13 records and G06N (AI-based computing) covers 38.5%. G06Q (business/admin data processing) sits at 30.8%, while G01D, G01W, and the lighting-related classes F21S, F21V and F21W each cover a single-digit share. Because records can carry multiple classes, these figures sum to more than 100% of the record total.
Shares are the percentage of the 13 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.
Go deeper on Urban Environmental Monitoring Patent Landscape with Eureka
This page is one run against one query. Ask Eureka your own question about urban environmental monitoring patent landscape and every answer comes back with the patent numbers behind it.
Try EurekaRepresentative filing and most-cited records
Microbial air quality monitoring system (US20260029392A1)
A device comprising a microcontroller integrated with an environmental sensor and a plurality of gas sensors. At least one application running on the microcontroller processor takes environmental sensor data and gas sensor data as inputs and uses them to determine an environmental state.Filed by Arizona State University's board of regents, published 2026-01-29.
| # | Publication no. | Patent title | Citations |
|---|---|---|---|
| 1 | US20180156766A1 | Networked Environmental Monitoring System and Method | 52 |
| 2 | WO2020043030A1 | 大气污染监测设备数据可信度评价及校准方法 | 50 |
| 3 | CN113330283A | 大气污染检测设备数据可信度评价及校准方法 | 6 |
| 4 | US10802009B2 | Networked environmental monitoring system and method | 1 |
Citation counts favour older records in a searched corpus; treat them as a signal of influence rather than of current importance.
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 (4 of 4 rows); clicking a row searches Eureka by that number.
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Three read-throughs from the concentration, technology mix and citation pattern above.
The field is small and already crowded at the top
With 8 of 13 records in scope held by the top 5 assignees, and all 13 records accounted for by the top 10, a new entrant is filing into a field where a handful of players already hold most of the documented claim space. That does not mean the underlying technology is saturated — it means the visible claim space around core sensing and processing concepts is occupied.
Material analysis and AI processing carry the claims, not deployment hardware
G01N and G06N together touch the majority of records, meaning claims skew toward how measurements are taken and interpreted rather than how a monitoring network is deployed at district scale. Lighting-related classes (F21S, F21V, F21W) and general measuring/recording (G01D) each cover only one or two records.
Influence sits with older networked-monitoring filings
The most-cited record, a networked environmental monitoring system and method, predates the recent AI-processing wave and is followed by a related pollution-monitoring calibration filing. High citation counts here reflect age and searchability inside the corpus more than current commercial relevance.
Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to urban environmental monitoring patent landscape, with the prior art for and against each one.
Who is filing, and where momentum sits now
The ranking is drawn from 23 companies and individual inventors, counted in records. Concentration is real, but the most recent filing activity is spread across different names than the historical leader.
A narrow lead at the top
The top-ranked filer holds 2 of the 13 records in scope, with the field dropping to single-record filers by fifth place and beyond. That gap is thin enough that one or two new filings could reorder the top of the table.
Most participants file once and do not return
Beyond the top handful, the ranking is dominated by academic institutions and individual inventors with a single record each. This pattern is typical of an emerging field where research groups stake early claims before commercial consolidation.
New names, not the historical leaders, are filing most recently
The filers active in the most recent year are different individuals and university-linked entities than the pair behind the strongest historical co-filing relationship. That co-filing pair shows zero activity in the latest year, suggesting the early cluster has gone quiet while new academic filers enter.
| Assignee | Recent year | YoY |
|---|---|---|
| V JANARDHAN BABU | 1 | — |
| SWAMI VIVEKANANDA SUBHARTI UNIVERSITY | 1 | — |
| SR UNIVERSITY | 1 | — |
| ZENG NING | 0 | — |
| MARTIN CORY | 0 | — |
| Xu Jun | 0 | — |
| Shandong Nova Fitness Electronic Technology Co., Ltd. | 0 | — |
| Si Shuchun | 0 | — |
Where to take this analysis
The dataset points to a field that is still small enough for a new filer to find open claim space, provided the search starts from the gaps rather than the leaders.
Map the white space against your own claims
Run your draft claims against the under-claimed branches above — particularly district-scale digital twin integration and occupancy-linked building controls, where this dataset shows almost no coverage.
Explore white space in EurekaWatch the recent-year filers, not the historical leader
The strongest historical co-filing pair has gone quiet in the latest year while new university-linked filers enter. Track those names going forward rather than anchoring on the top of the all-time ranking.
Track assignee momentum in EurekaCommon questions on this landscape
This dataset contains 13 published records in scope, covering filings from 2015 through 2026. That is a small field by patent-landscape standards, which means individual filings can shift rankings and shares more than they would in a larger technology area. The filing trend runs from 2 records in 2017 up to 8 in 2026, though the most recent year is understated because publication typically lags filing by about 18 months.
The assignee ranking covers 23 companies and individual filers, with the leader holding 2 of the 13 records in scope. The top 5 filers together account for 8 records, or 61.5% of all records in scope, and the top 10 account for all 13. Beyond the top few, most filers — largely universities and individual inventors — appear only once, which is typical of an early-stage research field rather than a commercially consolidated one.
IPC classification shows G01N (material analysis and testing) on 46.2% of the 13 records and G06N (AI-based computing) on 38.5%, meaning claims concentrate on sensing accuracy and data interpretation. G06Q (business and administrative data processing) covers 30.8%, reflecting a municipal-data-platform angle. Deployment-oriented classes like lighting components and general measuring devices each appear on only one or two records, suggesting less-crowded claim space there.
The filing count rose from 2 in 2017 to a peak of 8 in 2026, the highest year in the dataset. However, fewer than four complete years remain once the publication lag is accounted for, so no reliable growth rate can be stated from this trend alone. Treat the 2026 figure as a floor, not a ceiling, since additional filings from that year are still working through publication.
US20260029392A1, filed by the Arizona State University board of regents and published 2026-01-29, describes a microcontroller integrated with an environmental sensor and multiple gas sensors, running an application that combines both data streams to determine an environmental state. It is a hardware-plus-software sensing device rather than a network or platform claim. Anyone building a similar integrated microcontroller-based air-quality device should review its specific claim language before finalizing a design.
Based on IPC coverage, district-scale digital twin integration, occupancy-linked building energy control, and lighting-network environmental tie-ins all show minimal representation in this 13-record set. Cross-jurisdiction sensor calibration and meteorology-linked pollution forecasting are similarly thin. These gaps do not guarantee an easy path to a granted patent, but they indicate claim space that established filers have not yet occupied heavily.
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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.