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The agent works the prompt against patents and technical literature, citing every source.
Run your analysis now →28 simple patent families and 59 published records cover ML/SPC predictive quality control, with filings split across 21 listed organisations.
59 published records collapse into 28 simple (DOCDB) families; the difference is the same invention filed in more than one country. In force = 24 of 59 records still granted and maintained at the data cut-off; the rest are pending, withdrawn, refused or lapsed.
This set gathers records matching statistical process control or SPC alongside machine learning or predictive model terms, combined with manufacturing or quality-control language. The search string sets no date limit, so the dataset spans whatever filing years the matching records happen to carry, and the chart on this page shows only a recent filing window rather than the full set. Across the result, 28 simple patent families correspond to 59 published records, reflecting that single inventions are frequently filed into more than one office.
This is a small pool: 28 families is not enough to support claims about market concentration, technology maturity or white space, and the search string itself may have pulled in records that only loosely match the intended topic. Treat this page as a starting point for a more targeted search, not as a map of the field.
Ordered by volume only, not by importance or claim strength. Counted in simple (DOCDB) patent families, so one invention filed in several countries counts once. Names come from Patsnap's standardised assignee field as recorded on each document; subsidiaries and group companies are not merged. The icon before each name is read from the name itself (words such as University, Institute or Ltd); the data carries no organisation-type field, so treat it as a reading aid rather than a classification. Filings held by named individuals rather than organisations are removed where they can be identified (5 here); that identification is not exhaustive, so an individually held filing can still appear below. Either way those filings stay inside the totals above. This table shows the top 21 of the 21 filers returned for this search; the data endpoint returns at most 100 entities, so even that 21 is not the complete set of filers. A single family can name more than one filer, so these counts overlap and do not add up to the total.
Two views of the same 28-family dataset: how publication activity by filing year moves through the available window, and which IPC subclasses recur most across the families.
Records run from 2018 through 2026, with a peak so far at 2019 (14 records). From 2022 onward the counts are still filling in as later filings publish, so no decline should be read into the most recent years.
Counted in published records by earliest filing year, not de-duplicated into families. A filing is counted in the year it was filed, but it only becomes visible after it publishes: roughly 18 months for most routes, and up to 30 months where a PCT application enters national phase. 2022 onwards are therefore still filling in and are shaded; no growth figure on this page uses them. Because this series counts documents rather than inventions, a rise can mean more inventions or the same inventions filed in more countries; this dataset cannot separate the two.
G05B (control and regulating systems) appears on 42.9% of families and G06N (AI-based computing) on 39.3%, with G06Q (business/admin data processing) at 25.0% and G01N (material analysis and testing) at 17.9%. Because a family can carry more than one IPC class, these shares add up to more than 100%.
Shares are the percentage of the 28 patent families in scope. One patent family 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 machine learning based predictive quality control using statistical process control patent landscape and every answer comes back with the patent numbers behind it.
Try EurekaThe abstract describes a method and system for patient-based real-time quality control during instrument testing, and a method for building the underlying quality control model. The system acquires actual test results for a target item together with patient information such as disease, age, gender or ordering department, and uses that patient information to inform the quality control process alongside the live test results.This is the first record returned under the database's default ordering, not the most cited, newest or broadest filing in the set. What its granted claims actually require has to be read from the claim set itself; an abstract and a family count cannot establish claim scope.


Selected as the first record the search returns under the database default order, then shown in full. It is not ranked by citations, claim breadth or commercial importance, and it is not a judgement about which filing in this space matters most.
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 →These figures describe counts only: how many families each listed filer is named on, and how many families carry each IPC subclass. Neither establishes scope, importance or market position.
Shenzhen Mindray Bio-Medical Electronics Co Ltd is named on 2 of the 28 simple patent families in scope (7.1%). Four other listed filers also hold 2 families each, so five rows share the top count rather than one filer standing above the rest.
All 21 listed filers hold 2 or fewer simple patent families each. Filer rows are not rolled up to corporate group and can overlap when a family names more than one filer, so rows cannot be summed into a coverage or concentration figure.
G05B (control and regulating systems) appears on 12 of the 28 families (42.9%) and G06N (AI-based computing) on 11 of 28 (39.3%). G06Q (business/admin data processing) and G01N (material analysis and testing) follow at 25.0% and 17.9%. Shares add to more than 100% because a family can carry multiple IPC classes.
24 of the 59 published records were granted and still in force as of the 2026-10-15 retrieval date. The remainder are pending, withdrawn, refused, lapsed or not determinable, and this breakdown is not available on this page.
Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to machine learning based predictive quality control using statistical process control patent landscape, with the prior art for and against each one.
This page is a first pass over a small, broadly worded search. Narrowing the terms or reading individual claim sets is the next step for any of the following.
The topic terms are broad enough to pull in records that only loosely match predictive quality control. Tightening the Boolean string and re-running the search would separate genuine matches from noise, particularly among the smaller IPC subclasses this page does not break out.
Refine the search in EurekaFamily and IPC counts cannot establish what any single filing covers. For any record of interest, including EP4723126A1, the next step is pulling the granted claim set rather than relying on the abstract.
Open the full record in EurekaBecause 2022 onward is still filling in as later filings publish, a monitoring search catches new records in this space as they appear rather than relying on a one-off snapshot.
Set up monitoring in EurekaThis search returns 28 simple patent families, corresponding to 59 published records, with no date limit applied to the search string. A family counts one invention regardless of how many countries it was filed in, while a record counts each publication separately, so the same invention can appear multiple times in the record total. Because the pool is small, it should be treated as a starting point for a more targeted search rather than a complete count of everything filed in this space.
Five organisations tie for the largest count in this dataset, each named on 2 of the 28 simple patent families: Shenzhen Mindray Bio-Medical Electronics, Elisa Oyj, Wearne Digital, NIMS University Rajasthan Jaipur, and Sri Eshwar College of Engineering. All 21 listed filers hold 2 or fewer families each, which is a long tail rather than a small group with outsized share. Filer rows are not rolled up to corporate group and can overlap across a single family, so these counts should not be added together into a combined percentage.
The trend chart counts published records by earliest filing year, running from 2018 through 2026 with a peak so far of 14 records in 2019. Records from 2022 onward are still filling in because of normal publication lag, which runs roughly 18 months for direct filings and up to 30 months where a PCT application enters national phase, so the most recent years understate their eventual totals. The series also counts documents, not inventions, so a rise can reflect the same invention being filed into more offices rather than more distinct inventions appearing.
Across the 28 families in scope, G05B (control and regulating systems) appears most often at 42.9%, followed by G06N (AI-based computing) at 39.3%, G06Q (business and administrative data processing) at 25.0%, and G01N (material analysis and testing) at 17.9%. A family can carry more than one IPC class, so these shares add up to more than 100% rather than partitioning the dataset. The full classification breakdown includes 25 subclasses in total, though only the largest few are discussed here.
No. The underlying search string sets no date limit but is still a Boolean match on specific terms, so it can both miss relevant filings that use different language and pull in records that only loosely match the intended topic. The filer list returns 21 organisations and excludes filings held by named individuals, even though those individual filings remain inside the overall totals and shares. Treat the numbers here as a scoped snapshot retrieved on 2026-10-15, not a definitive census of the technology.
Go past this page: query the whole machine learning based predictive quality control using statistical process control patent landscape corpus yourself, in your own scope.
Every answer comes back with patent numbers you can open.
Search. Every figure on this page comes from one Patsnap search, run once and not edited afterwards. This is the exact search string:
TAC:(("statistical process control" OR "SPC") AND ("machine learning" OR "predictive model") AND (manufactur* OR "quality control"))
Reading the field codes: TAC searches the title, abstract and claims of each record, not the full description. The search string sets no date limit, so the scope is every matching record in the database regardless of when it was filed. It is not restricted to recent years. How this string was built matters for how far the counts can be pushed. It was generated in batch from a topic list rather than hand-crafted for this page, and the result set is not manually screened. A keyword search over title, abstract and claims both over-captures (unrelated filings that happen to use the same words) and under-captures (the same invention written in different words). This page cannot measure either effect, so read every figure here as what this particular string returned, not as what exists in the field. No subclass carries much of this set: the most common one is on 42.9% of the patent families and the set spans 25 subclasses in all. That can mean the technology genuinely sits across several areas, or that the search string is also matching adjacent work that happens to use the same words. This page cannot separate the two, and the result set is not screened by hand.
What is being counted. Two different units appear on this page and they are not interchangeable. The filer list and the technology split are counted in simple (DOCDB) patent families: one invention counts once however many countries it was filed in. The total, the jurisdiction split and the filing-year chart are counted in published records: the same invention counts once per publication. For this search that is 59 records and 28 families. Record counts reward filing in many jurisdictions; family counts do not. Shares are only ever taken against a denominator in the same unit, and each one names it.
Who the filers are. Names come from Patsnap's standardised assignee field, as recorded on the documents themselves. They are not rolled up to corporate group: a parent and its subsidiaries appear as separate entries, and a portfolio acquired from another company stays under the name on the document unless the assignment is reflected there. This list is meant to carry organisations, not people. Filings held by a named individual are identified by matching the assignee against the inventors on the same search, and, for names written in Chinese, Japanese or Korean characters, by the name carrying no organisational suffix; those are removed from the list (5 of them here). Neither test is exhaustive: the inventor list it matches against is itself capped, and a personal name written in Latin script with no organisational wording in it cannot be told apart from a short company name by rule. So an individually held filing can still appear in the list. Those filings stay inside every total and share on this page either way, so the listed entries can add up to less than the total. A record shown in full further down still names its assignee exactly as the patent office records it, including where that is a person: that name is how the record is identified and checked. What is left out of the ranking is people as ranked entries, not people as cited sources. The table shows the top 21 of the 21 filers returned, ordered by count alone; the data endpoint returns at most 100 entities, so even that 21 is not every filer. One patent family can name several filers and each is counted separately, so these rows are not slices of a divided whole: adding them together over-counts, and this page deliberately publishes no combined "top five" share for that reason. See every filer, individuals included
Dates. The year chart counts by earliest filing year, not publication year. A filing only becomes visible once it publishes: roughly 18 months for most routes, and up to 30 months where a PCT application enters national phase. Measured across these pages, the year four back from today still holds only about 89% of its eventual count. 2022 onwards are therefore shaded on the chart as still filling in. The data behind this page was retrieved on 2026-10-15.
Legal status. "In force" counts documents whose legal status at retrieval was granted and maintained (24 of 59). Everything else is pending, withdrawn, refused, lapsed or not determinable, and those states are not broken out here because the underlying codes do not separate them cleanly. Legal status changes continuously and is reported per document, not per family. Get the status breakdown in Eureka
Classification. The technology split uses IPC subclasses (four characters, for example H01M). A single record usually carries several, so the shares add up to more than 100% and a record can appear in more than one bar. Subclass is a coarse grouping; it describes the field a record was classified into, not what the claims cover. Break the classes down to subgroup level
Who wrote the words. The tables, charts, counts, shares and patent numbers on this page are produced directly from the search result by a program; none of them are written or estimated by a language model. The surrounding prose, headings, FAQ answers and the answers in the question panel are drafted by a language model that is given those same figures and is not permitted to introduce others. Prose can still mis-describe a correct figure, so where the two disagree, the tables and charts are the record.
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 limitations that apply to every figure above. Recent filings are under-counted, because an application is not public until roughly 18 months after filing and database loading adds further delay. The search string defines and constrains everything shown: records that use different terminology, or that sit outside the fields searched, are absent and cannot be counted. Applicant names, classification codes, legal-status codes and citation records are taken as recorded and may contain errors, duplicates, omissions or stale entries. Ordering by volume is not a measure of quality, scope, enforceability or commercial value, and a larger portfolio is not a stronger one. 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, validity or infringement search, nor does it constitute legal, financial, investment, or professional advice, and it should not be relied upon as such. No attorney-client relationship is created by it. Any patent, commercial, or strategic decision should be verified independently against the primary records 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.
The question panel. The answers behind the suggested questions on this page were written when the page was generated, not in response to your click. The progress steps that play before an answer appears are an animation of how that analysis was done; nothing is being searched or computed at that moment. Typing your own question instead opens Patsnap Eureka, which does run it live.
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.
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