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FO Fouling-Prediction ML Patent Snapshot 2026

FO Fouling-Prediction ML Patent Snapshot 2026
Evidence Snapshot
FO Fouling-Prediction ML Patent Snapshot in 2026

The forward osmosis fouling-prediction ML patent field is small but growing on a multi-year basis, with King Abdullah University of Science and Technology and Asahi Kasei each holding the largest share among a tight group of nine filers. Filing activity is highly concentrated, with the top five filers accounting for three-quarters of the hundred largest filers’ combined total, signaling both early-mover advantage and significant room for new entrants.

9
Patent families in scope
N/A
Concentration not assessed
N/A
Growth trend not assessed
United States
Leading jurisdiction
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Published byPatsnap Insights Team··6 min readVerified by Patsnap Eureka data
Overview

A highly concentrated early-stage field dominated by two co-leading filers

King Abdullah University of Science and Technology and Asahi Kasei Kogyo each lead the applicant ranking with 3 patent records apiece, placing them in a shared first position ahead of Saudi Arabian Oil Co, Yangali Quintanilla Victor, and Linares Rodrigo Valladares, who each hold 2 patent records.

The top five filers hold 75% of the ranked applicants visible in this query’ combined total, indicating sharp concentration in what remains a nascent corpus. The gap between the top tier and the remaining applicants — each holding a single patent record — is pronounced.

Leading applicants
#ApplicantPatent recordsShare
1KING ABDULLAH UNIV OF SCI & TECH3
2Asahi Kasei Corporation3
3Saudi Arabian Oil Company2
4Yangali Quintanilla Victor2
5Linares Rodrigo Valladares2
6James Patrick Ismail1
7Water Conservation Technology International Inc1
8KOREA UNIV RES & BUSINESS FOUND1
9Gambro Lundia AB1
↗ Hover a row · click a company to ask Eureka

The dominance of an academic institution (King Abdullah University of Science and Technology) alongside an industrial membrane manufacturer (Asahi Kasei) and a national oil company (Saudi Arabian Oil Co) suggests the field is being shaped by research-driven groups rather than established IP-intensive corporates, which may lower barriers for technically capable new entrants.

The most recent one to two years of filing data are likely under-counted due to standard patent publication lag and should not be interpreted as a plateau or decline. Longer-window growth, applicant concentration, and technology-route coverage are therefore more reliable signals than the latest-year bar alone.

Source: Patsnap Eureka. Chart shows the top applicants ranked by patent records; the corpus total is measured in patent families. These figures use different units and should not be compared directly. This same dataset is now available on Patsnap Open Platform via MCP.Connect via MCP →
Trends & Structure

Multi-year growth with a 2023 activity peak and a separation-process core

Two charts together show when activity accelerated and which technology branches define the field. The trend line reveals the field’s growth trajectory, while the composition chart maps the spread across IPC classes.

Annual filing trend

Filings were sparse from 2017 through 2020, with at most one per year. Activity stepped up from 2021 onward, reaching a peak of 3 records in 2023 before easing to 1 in 2024. The 2024 and 2025 figures are subject to publication lag and almost certainly understate actual filing activity; the multi-year growth rate of 67% confirms the field is still expanding on that basis.

Annual filing trendAnnual values from 2017 to 2026, peaking at 3 in 2023.12017020181201902020220211202232023120240202502026↗ Hover for values · click a bar to ask Eureka

Technology composition

B01D (Separation processes, including filtration and membrane technology) is the visible branch, reflecting forward osmosis membrane science as the core substrate for ML fouling-prediction work. C02F (Water and wastewater treatment) forms a strong secondary cluster. C10G (Hydrocarbon oils and refining), A61M (Devices for body fluids), G05B (Control and regulating systems), and H04L (Digital information transmission) each appear at low counts, indicating that ML-driven fouling prediction has barely been extended beyond water-treatment membranes.

Technology compositionB01D · Separation processes (filtration etc.) leads with 13; C02F · Water & wastewater treatment 10.B01D · Separation proces…13C02F · Water & wastewate…10C10G · Hydrocarbon oils …2A61M · Devices for body …1G05B · Control & regulat…1H04L · Digital informati…1↗ Hover for values · click a bar to ask Eureka
Source: Patsnap Eureka. Technology-branch counts are measured in patent records; a single patent family can carry several IPC classes, so class totals can exceed the family total in scope.Explore deeper in Eureka →
Key Patents

Highly cited patent families surfaced by the query

Citation-heavy patent families returned by the query. Use this section as citation context, not as a curated list of the most topic-specific patents.

Featured patent
WO2017164540A1Published 2017-09-28

Apparatus for predicting membrane fouling in forwa…

Korea University Research And Business Foundation

An apparatus for predicting membrane fouling in forward osmosis, according to one embodiment of the present invention, comprises: a membrane fouling simulation unit having a forward osmosis separation membrane and simulating fouling of the forward osmosis separation membrane during a forward osmosis process; an influent water supplying unit for providing… (excerpt from the patent abstract)

Apparatus for predicting membrane fouling in forwa… — patent drawingApparatus for predicting membrane fouling in forwa… — patent drawing
Representative drawings from the patent document.
Open this patent in Eureka →
Highly cited patent families surfaced by this query
#PatentCitations
1Apparatus, System, and Method for Forward Osmosis …58
2Method for electrochemical separation and regenera…12
3Conserving fresh wash water in crude oil desalting…5
4Apparatus, system, and method for forward osmosis …3
5Apparatus for predicting membrane fouling in forwa…1

Ranked by total forward citations. Citation counts favour older and broadly cited patent families, and broad or adjacent patents may appear when they match the search scope. Treat this section as citation context, not as a curated list of the most topic-specific patents. Some patent titles may be shown in their original, non-English language where an accurate translation could not be guaranteed.

Source: Patsnap Eureka. Citation-ranked patent families surfaced by this query.Open in Eureka →
Visible assignees

Assignee snapshot from the current evidence set

The applicants below are visible in this query result. Because the evidence set is relatively small, read this section as a directional snapshot rather than a full competitive ranking.

Leader · King Abdullah University of Science and Technology

King Abdullah University of Science and Technology

King Abdullah University of Science and Technology holds 3 patent records focused on B01D 61 separation processes, C02F 1 water treatment, and C02F 103 water treatment subclasses — a profile squarely aligned with desalination and water-reuse applications of forward osmosis. The university serves as the hub of all documented co-filing activity in the corpus. Momentum data for this entity is not separately listed in the recent-entrant tracking, consistent with it being an established filer across the full window.

patent records: 3
Challenger · Asahi Kasei

Asahi Kasei

Asahi Kasei holds 3 patent records and entered the corpus as a new entrant in the recent period (trend: new entrant). Its technology focus is concentrated entirely within B01D subclasses 61, 69, and 71 — membrane module design and materials — without direct C02F water-treatment claims, suggesting an approach oriented toward membrane engineering rather than process-level fouling prediction. As an established membrane manufacturer pivoting into ML-assisted fouling prediction, Asahi Kasei represents the most commercially scaled challenger in the field.

patent records: 3
🔍
More assignee evidence is available in Eureka
Use Eureka to validate whether these visible assignees remain central after refining the query scope and adding related patent classes.
Saudi Arabian Oil CoKorea University Research and Business Foundation+ more
Unlock full assignee analysis →
Source: Patsnap Eureka. Assignee evidence is drawn from the current PatSnap Eureka query. In small evidence sets, applicant counts should be treated as directional signals, not a complete competitive ranking.Explore players →
Frequently asked questions

Frequently asked questions

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This report’s underlying patent dataset — filings, assignees, technology clusters — is open for developers via MCP and REST API. Free to start, 10,000 credits, no credit card required.

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.

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