CEMS Patents: Who Leads, Where the Gaps Are 2026
- Concentrated but not locked up. The top 5 assignees hold 32.1% of all 386 records in scope, and the top 10 hold 44.6% — leaving more than half the field to a long tail of single- and few-filing entrants.
- Filing has cooled from its 2022 peak. Filings peaked at 34 in 2022; the 2021→2024 span shows a 17% decline (23 to 19), though 2025-2026 figures are still filling in as publications lag filing.
- Control and data layers now outweigh the sensor itself. G05B control systems (22.5%), G06Q data processing (19.2%) and G06N AI-based computing (10.9%) together touch more records than combustion control (F23N, 7.8%), pointing to where the claim activity has moved.
Filing growth compares 2021 (23 records) with 2024 (19) — 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 386 records in scope (CR5), not by the ranked leaders only.
What the CEMS patent record actually shows
Continuous emission monitoring systems (CEMS) patenting spans a hardware core — extractive sampling, dilution probes, stack gas analyzers — and an increasingly software-heavy shell built around calibration drift checks, availability requirements and data acquisition. The 386 records in scope run from 2015 through the 2026 cut-off, giving a decade-plus view of how claim activity has shifted from analytical hardware toward control logic and reporting infrastructure.
Filing offices skew toward China and the United States, with meaningful volume also routed through the EPO, PCT and India, which signals a technology still being filed for multi-jurisdiction industrial and regulatory compliance markets rather than a single home market.
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Filing trends and technology composition
Two views of the same 386-record dataset: the pace of filing over time, and where those filings sit across the IPC classification system.
Filing trend, 2017-2026
Filings rose from 19 in 2017 to a peak of 34 in 2022, then eased to 19 by 2024 (a 17% decline from 2021's 23) before the still-incomplete 2025-2026 count of 10, which understates true recent activity because publication lags filing by roughly 18 months.
IPC composition across 8 subclasses
G01N material analysis and testing leads at 37.3% of records, followed by G05B control systems at 22.5% and G06Q business/data processing at 19.2%. Records commonly carry more than one class, so these shares sum to well over 100% of the 386-record base — the overlap itself shows how tightly sensing, control and data reporting are now claimed together.
Shares are the percentage of the 386 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.
Go deeper on Continuous Emission Monitoring Systems with Eureka
This page is one run against one query. Ask Eureka your own question about continuous emission monitoring systems and every answer comes back with the patent numbers behind it.
Try EurekaA representative claim and the most-cited records
US5596154A — Dilution control method and apparatus
An apparatus and method for maintaining a constant dilution ratio for a dilution probe used in a continuous emission monitoring system. The apparatus includes a regulator for regulating the flow of dilution gas to the probe, a mechanism for measuring changes in gas density of the emission gas and a mechanism for determining an adjusted flow rate for the dilution gas based on the measured changes in gas density to control the dilution ratio.Filed by Enviroplan, Inc.; granted 1997-01-21. One of the earliest dilution-probe control patents in the dataset and a frequent reference point for later drift-compensation claims.
| # | Publication no. | Patent title | Citations |
|---|---|---|---|
| 1 | US20200348662A1 | Platform for facilitating development of intelligence in an industrial internet of things system | 732 |
| 2 | US20210157312A1 | Intelligent vibration digital twin systems and methods for industrial environments | 715 |
| 3 | US20220108262A1 | Industrial digital twin systems and methods with echelons of executive, advisory and operations messaging and… | 386 |
| 4 | CN104655495A | 一种煤岩高温高压真三轴压裂渗流试验装置与试验方法 | 280 |
| 5 | WO2021108680A1 | Intelligent vibration digital twin systems and methods for industrial environments | 210 |
| 6 | US20230176550A1 | Quantum, biological, computer vision, and neural network systems for industrial internet of things | 176 |
| 7 | WO2020227429A1 | Platform for facilitating development of intelligence in an industrial internet of things system | 163 |
| 8 | US20060053791A1 | Method and apparatus for the production of energy | 145 |
| 9 | US6455851B1 | Spectroscopic remote sensing exhaust emission monitoring system | 142 |
| 10 | WO2022236064A2 | Quantum, biological, computer vision, and neural network systems for industrial internet of things | 121 |
Citation counts favour older filings inside any searched corpus — read them as a signal of influence on later filers, not as a measure of current commercial relevance.
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. Each row carries its publication number; clicking a row searches Eureka by that number.
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Browse MCP servers →What the numbers mean for a filing decision
Three patterns worth acting on before drafting a new claim or scoping freedom-to-operate.
The top of the field is dense, the rest is open
With the leader alone holding 68 records and the field dropping to 11 by fifth place and 9 by tenth, the concentration is front-loaded rather than evenly spread. Below the top 10, claim space thins out quickly across the remaining 90 ranked assignees.
Growth has cooled from the 2022 peak
The 2022 peak of 34 filings has not been sustained; the 2021-2024 comparison shows a 17% pullback. Treat 2025-2026 counts as provisional, since publication lag means recent-year activity is still being filed in.
Sensing still leads, but control and software are catching up
Material analysis and testing (G01N) remains the largest single class, but G05B control systems, G06Q data processing and G06N AI-based computing collectively cover a comparable share of records, showing claims have broadened beyond the analyzer itself into how readings are controlled, reported and modelled.
Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to continuous emission monitoring systems, with the prior art for and against each one.
Who is filing, and where the gaps sit
The ranked leaders span industrial IoT platforms, oil and gas majors, analytical instrument makers and process-control specialists — a mix that reflects CEMS's position at the intersection of environmental compliance and industrial data infrastructure.
One clear leader, then a sharp drop-off
The leading assignee's 68 records dwarf the fifth-place count of 11, indicating a single large filer has built a substantial position while the rest of the top 10 compete much closer together.
A long tail of narrow filers
The ranking runs to 100 companies total, and beyond the top 10's 44.6% combined share, the remainder file in small numbers — often single records — spanning universities, regional utilities and instrument specialists.
Filing is split across two primary markets
China and the United States lead receiving-office counts, with the EPO, WIPO/PCT, India and Australia each carrying a meaningful secondary share — consistent with a technology tied to national emissions-compliance regimes as much as to any single manufacturing base.
| Assignee | Recent year | YoY |
|---|---|---|
| Strong Force IOT Portfolio 2016 LLC | 1 | -67% |
| Saudi Arabian Oil Co (Saudi Aramco) | 0 | — |
| Augury Systems Ltd | 0 | — |
| Goyen Controls Co Pty Ltd | 0 | — |
| Exergetic Systems | 0 | — |
| LANG FRED D | 0 | — |
| Rosemount Analytical Inc | 0 | — |
| Applied Materials Inc | 0 | — |
Where to take this analysis
The dataset points to next steps depending on whether the goal is freedom-to-operate, whitespace filing, or competitor tracking.
Run a freedom-to-operate check on the leader's portfolio
With 68 records concentrated in one assignee, any new dilution-probe or drift-compensation filing should be checked against that portfolio specifically before drafting claims.
Explore assignee portfolios in EurekaScope claims in the under-claimed control-and-data overlap
G05B, G06Q and G06N classes show rising overlap with core G01N sensing claims but lower absolute density than the sensing core itself, suggesting room for narrowly-scoped control or AI-validation claims.
Map white space in EurekaTrack momentum, not just headcount
Several formerly active filers show zero filings in the latest year; pair the ranking with year-on-year momentum before assuming a competitor is still active.
Set up assignee monitoring in EurekaCommon questions about CEMS patents
The dataset used for this analysis contains 386 published records filed between 2015 and the 2026 data cut-off, covering extractive sampling, dilution probes, stack gas analyzers and the calibration, data acquisition and certification claims built around them. This counts families in the assignee ranking rather than raw document duplicates across jurisdictions, which gives a fairer picture of distinct inventions than a raw publication count would. Because publication lags filing by roughly 18 months, the true count for 2025-2026 filings will rise as those applications continue to publish.
Filing is concentrated at the top: the leading assignee holds 68 of the 386 records, and the top 5 assignees combined account for 32.1% of the field. The top 10 extend that to 44.6%, after which the ranking spreads across 90 more companies with much smaller counts, including industrial IoT platforms, oil and gas operators, analytical instrument makers and university research groups. This shape — one strong leader, a competitive next tier, then a long tail — is typical of a technology tied to both regulatory compliance and industrial process control.
Filings peaked at 34 in 2022 and had eased to 19 by 2024, a 17% decline over that three-year span using only complete-year data. The 2025 and 2026 figures currently show lower counts, but these should not be read as a slowdown since publication lag means recent applications are still being published. The honest read is that growth has cooled from its 2022 high point, not that the field is shrinking.
Material analysis and testing (IPC class G01N) is the largest single category at 37.3% of the 386 records, reflecting the core sensing and analyzer function of CEMS. Control and regulating systems (G05B, 22.5%) and business/data processing (G06Q, 19.2%) follow closely, with AI-based computing (G06N, 10.9%) also present — showing that claim activity has broadened well beyond the physical sensor into how readings are controlled, reported and modelled. Because a single record can carry several IPC classes, these shares overlap rather than sum to 100%.
The lower-density but functionally important areas include calibration drift auto-compensation, AI-based validation of emissions data, multi-pollutant dilution ratio control, and automated availability-requirement reporting — all sub-areas that sit inside the well-populated G01N and G05B classes but are not yet claimed as densely as the core sensing and control functions. A first claim in these areas would typically need to specify the automated decision logic or data-validation step precisely enough to distinguish it from the broader control-systems prior art already on file.
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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.