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 →Filing growth compares 2021 (76 records) with 2024 (37) — 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 880 records in scope (CR5), not by the ranked leaders only.
This dataset tracks 880 patent families published between 2015 and mid-2026 that combine SCADA, industrial automation and distributed control system claims with human-machine interface, data historian, alarm management, redundancy or cyber security language, filtered to control-systems and networked-data IPC classes. It is a view of how vendors have claimed the software and interface layer sitting on top of industrial control hardware, not of the control hardware itself.
Filing activity concentrates heavily in the United States and Europe, with China, WIPO/PCT and India as secondary filing routes. Publication lags filing by roughly 18 months, so the last one to two years in any chart will read lower than the underlying filing activity actually was.
Two views of the same 880 families: how filing volume has moved year over year, and which IPC subclasses carry the claim weight.
Annual filings climbed from 31 in 2017 to a peak of 81 in 2022, then fell back toward the single digits by 2026 (a partial year). Because the most recent years are undercounted due to publication lag, the true decline is likely less steep than the raw chart shows — but the plateau after 2022 is real.
G05B (control and regulating systems) touches 827 of 880 families — nearly the entire dataset — while G06F (data processing) and H04L (digital transmission) sit well behind at 249 and 179. G06Q (business/admin processing) and G06N (AI-based computing) are minority classes, at 83 and 27 respectively, suggesting AI-driven SCADA analytics is still a small slice of a much larger control-systems claim base.
Shares are the percentage of the 880 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 industrial automation and scada systems and every answer comes back with the patent numbers behind it.
Try EurekaA system for testing a distributed control system of an industrial plant is provided. The distributed control system includes at least two industrial control devices and at least one data communication device. The system includes at least one engineering computer that includes an engineering data storage unit for storing engineering data of at least one part of the distributed control system, and at least one human machine interface for manipulating the engineering data. The system also includes at least one remote data processing server connected to the at least one engineering computer via a remote data connection and including an emulating virtual machine on which a soft emulator is installed.Filed by ABB Schweiz AG, published 2016-02-04.


| # | Publication no. | Patent title | Citations |
|---|---|---|---|
| 1 | US5769527A | Computer controlled lighting system with distributed control resources | 550 |
| 2 | US6167464A | Mobile human/machine interface for use with industrial control systems for controlling the operation of proce… | 333 |
| 3 | US5682476A | Distributed control system having central control providing operating power to wireless transceiver connected… | 302 |
| 4 | US20030182396A1 | Internet based distributed control system | 237 |
| 5 | US5793963A | Apparatus for providing non-redundant secondary access to field devices in a distributed control system | 230 |
| 6 | US6236334B1 | Distributed control system for controlling material flow having wireless transceiver connected to industrial … | 213 |
| 7 | US6505247B1 | Industrial automation system and method for efficiently transferring time-sensitive and quality-sensitive data | 203 |
| 8 | US20140336785A1 | Using cloud-based data for virtualization of an industrial environment | 199 |
| 9 | US20160274558A1 | Cloud-based analytics for industrial automation | 194 |
| 10 | EP2660667A2 | Cloud gateway for industrial automation information and control systems | 180 |
Citation counts favour older filings that have had longer to accumulate citations inside this corpus; treat them as a measure of historical influence on the field, not of present-day importance.
Each row carries its publication number; 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 read-throughs from the trend, IPC and citation data, useful for deciding where filing effort is worth spending.
Filings rose steadily from 2017 through 2022 then fell back sharply. Even allowing for publication lag understating the last two years, the pattern is a maturing space rather than an expanding one — new entrants face a denser prior-art floor for a shrinking rate of return in fresh filings.
Almost every family in this dataset touches G05B, meaning HMI, historian and redundancy claims are almost always anchored to a control-systems architecture claim. Filers working purely in the data or networking layer (G06F, H04L) without a control-systems tie are the minority.
Only 27 of 880 families sit in G06N, versus 827 in G05B. AI-based anomaly detection, predictive alarm management and similar analytics layers are present but far from saturated relative to core control claims.
The most-cited records in this corpus date from the distributed-control and wireless-redundancy era and are cited far more heavily than recent filings — a sign that foundational architecture claims, not recent software layers, remain the reference point examiners and drafters work against.
Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to industrial automation and scada systems, with the prior art for and against each one.
Recent-year momentum is muted across the assignees tracked here: the most active recent filer is down sharply year-on-year, and several long-established names show no filings at all in the latest year — a pattern more consistent with defensive maintenance of existing claim positions than active expansion.
The only assignee tracked with meaningful latest-year output, but even this leader's filing rate fell 40% year-on-year, suggesting the pace set in the peak years is not being sustained.
Fisher-Rosemount Systems, Inc. (Fisher-Rosemount Systems), Siemens AG (Siemens), Honeywell International Inc. (Honeywell International) and ABB Switzerland Ltd. (ABB Switzerland) all show no filings in the latest tracked year, several after a -100% year-on-year drop, pointing to portfolios that are being held rather than grown.
Only four co-assignee pairs appear across 880 families, and the strongest links are between a parent company and its own subsidiary or named inventor rather than cross-company joint filings — this is a field of solo corporate filers, not alliances.
| Assignee | Recent year | YoY |
|---|---|---|
| Rockwell Automation Technologies, Inc. | 6 | -40% |
| Fisher-Rosemount Systems, Inc. | 0 | — |
| Siemens AG | 0 | -100% |
| Honeywell International Inc. | 0 | — |
| ABB Switzerland Ltd. | 0 | — |
| Nordson Corporation | 0 | — |
| Fieldbus Foundation | 0 | — |
| ABB Technology Ltd. | 0 | — |
The trend and IPC data point to a field that is dense at the core and thin at the edges. Two directions are worth a closer look before committing filing budget.
The highest-cited records in this corpus date from the early distributed-control and wireless-redundancy era. Any new HMI, historian or redundancy claim should be checked against that foundational layer before assuming it is novel.
Explore prior art in EurekaAI-based analytics (G06N) and power-grid integration (H02J) carry far fewer families than core control claims (G05B). That gap is either genuine white space or an area nobody has found commercially worth claiming yet — worth checking before filing.
Run a white space search in EurekaFiling activity in this dataset concentrates among a small group of established industrial control vendors, with a long tail of single-filing entrants behind them. Rather than one dominant leader, the data shows several large incumbents holding significant but declining recent-year output, alongside smaller players filing once or twice. Recent-year momentum has slowed across nearly all of the largest names, so historical filing volume is a better guide to who holds foundational claims than to who is actively expanding right now.
No — filings rose from 31 in 2017 to a peak of 81 in 2022, then declined toward the single digits by 2026. Because publication typically lags filing by around 18 months, the most recent one to two years are undercounted and the real decline is probably less steep than the raw chart implies. Even accounting for that lag, the plateau after 2022 suggests the field has moved from active growth into a maturing phase.
Core control and regulating systems (IPC class G05B) appear in 827 of the 880 families in this dataset, making it by far the dominant classification. Data processing (G06F) and digital transmission (H04L) are present in a meaningful minority of families, while AI-based computing (G06N) and business-process data handling (G06Q) are smaller still. This means most HMI, historian, alarm and redundancy claims are drafted as extensions of a control-systems architecture rather than as standalone software or networking inventions.
The lighter-populated IPC branches in this dataset — AI-based analytics overlapping with control systems, power-grid integration for redundancy, multiplex field-device communication, and business-process analytics layered on data historians — carry far fewer filed families than the dominant control-systems classification. That does not guarantee the space is commercially valuable, but it does mean the claim floor is lower there than in core control and HMI claims, which sit on a much denser prior-art base including some heavily cited foundational patents.
Patent applications typically publish about 18 months after filing, so any year within roughly the last two years in a filing trend chart will show fewer records than were actually filed. In this dataset, that means the apparent drop-off after the 2022 peak is likely overstated, particularly for the most recent partial year. Analysts should treat the last one to two data points as provisional and weight the multi-year trend more heavily than the final year when judging whether activity is truly declining.
Go past this page: query the whole industrial automation and scada systems 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.