RO Desalination AI/ML Patent Landscape 2026
The RO desalination AI/ML patent field is moderately concentrated, with the top five filers collectively holding nearly a third of the activity among the hundred largest filers, and Fluence Water Israel Ltd leading the ranking. Annual volume has plateaued near its multi-year peak, signalling a maturing but still active competitive front with new academic entrants joining industrial players.
Fluence Water Israel leads a field with a visible but not dominant concentration
Fluence Water Israel Ltd holds the top-ranked position among all filers, followed closely by Synauta Inc and Nanyang Technology University. The top five filers account for roughly 31% of the combined activity among the hundred largest filers, indicating a moderately concentrated field rather than an oligopoly.
A narrow gap separates the top two commercial players, while the third-ranked applicant is an academic institution — a structural signal that university-originated IP plays a material role in shaping the technology frontier. Below the top five, most filers hold only two or three patent records, confirming a long tail of smaller contributors.
| # | Applicant | Patent records | Share |
|---|---|---|---|
| 1 | Fluence Water Israel Ltd | 14 | |
| 2 | Synauta Inc | 13 | |
| 3 | Nanyang Technological University | 8 | |
| 4 | VEOLIA WATER SOLUTIONS & TECHNOLOGIES SUPPORT SAS | 6 | |
| 5 | Purdue Research Foundation | 4 | |
| 6 | Ozono Polaris S.A. de C.V. | 3 | |
| 7 | Richard Paul Posa | 3 | |
| 8 | Water Conservation Technology International Inc | 3 | |
| 9 | Hangzhou Dianzi University | 3 | |
| 10 | Swing Corp | 2 |
| # | Applicant | Patent records | Share |
|---|---|---|---|
| 11 | Dehlsen Associates of the Pacific Ltd | 2 | |
| 12 | Kookmin University Industry-Academia Cooperation Foundation | 2 | |
| 13 | GWANGJU INST OF SCI & TECH | 2 | |
| 14 | Guangdong Lizi Technology Co Ltd | 2 | |
| 15 | Yokogawa Electric Corporation | 2 | |
| 16 | West Virginia University Board of Governors | 2 | |
| 17 | Richard Paul Posa | 2 | |
| 18 | ACWA Power Company | 2 | |
| 19 | TIANJIN SEA WATER DESALINATION & COMPLEX UTILIZATI… | 2 | |
| 20 | Ebb Carbon Inc | 2 |
Fluence Water Israel Ltd’s lead position, built on water-treatment and membrane-separation claims, suggests that industrial systems integrators have been the primary vehicle for commercialising AI/ML optimisation in RO operations, but academic and startup entrants are increasingly active.
Filing counts for the most recent 18–24 months are likely under-represented due to standard patent publication lag; apparent activity levels for 2025–2026 should be treated as a floor, not a ceiling. Longer-window growth, applicant concentration, and technology-route coverage are therefore more reliable signals than the latest-year bar alone.
Activity has plateaued at a mature level; treatment and membrane classes dominate, with AI computing still a minor share
The annual filing trend and technology-branch composition together reveal a field where the process-engineering roots remain dominant and AI/ML classification codes are present but far from the bulk of the corpus.
Annual filing trend
Annual filings have been irregular, with notable peaks in 2017, 2020–2021, and again in 2023–2024, before a preliminary 2025 spike that is likely inflated by recent publications not yet fully indexed. The lifecycle evidence indicates annual volume has plateaued near its peak rather than entering sustained growth; the multi-year window still shows a modest positive trajectory. The 2026 count should be treated as a partial year.
↗ Hover for values · click a bar to ask EurekaTechnology composition
Water and wastewater treatment (C02F) and separation/filtration processes (B01D) together account for the large majority of IPC classifications across the corpus, reflecting that most patents are fundamentally about membrane and treatment operations. AI computing (G06N) and digital data processing (G06F and G06Q) are present but each hold a small share, confirming that explicit AI/ML claims remain a secondary layer atop a process-engineering core.
↗ Hover for values · click a bar to ask EurekaHighly 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.
Design method of polymeric seawater desalination m…
The present disclosure discloses a design method of a polymeric seawater desalination membrane based on a graph neural network, including the following steps: S1: constructing a knowledge graph of element-molecular group-molecular structure based on chemical knowledge, and constructing a molecular structure information data set; S2: obtaining related data… (excerpt from the patent abstract)
| # | Patent | Citations |
|---|---|---|
| 1 | Packed bed bioreactor for biofouling control of re… | 43 |
| 2 | Automated Aquaponics Apparatus | 26 |
| 3 | Water conservation methods combining osmotic membr… | 21 |
| 4 | 一种基于MEA‑BP神经网络的船用反渗透海水淡化系统性能预测方法 | 20 |
| 5 | Water treatment system, operation and management s… | 15 |
| 6 | Containerized desalination system | 13 |
| 7 | 反渗透系统的预测及诊断方法及其装置 | 11 |
| 8 | Containerized desalination system | 11 |
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.
What the patent structure means for R&D investment decisions
Four structural observations — maturity stage, concentration level, collaboration patterns, and geographic distribution — collectively define where defensible positions still exist and where competitive risk is lower.
Field is at or near plateau; incremental differentiation is the dominant strategy
The lifecycle evidence places this field at a Maturity stage, with annual filings plateaued near their peak. New entrants must either occupy distinct technical sub-niches or outperform incumbents on claim breadth. The presence of academic new entrants (Nanyang Technology University, Hangzhou Dianzi University) suggests that foundational algorithmic contributions are still being filed, offering a potential differentiation window for AI-native approaches.
Maturity stageTop-five filers hold roughly 31% of the hundred largest filers’ combined activity
The top five filers — Fluence Water Israel Ltd, Synauta Inc, Nanyang Technology University, Veolia Water Solutions & Technologies Support, and Purdue Research Foundation — together account for 31% of the activity among the hundred largest filers. This moderate concentration means no single player has locked up the field, and a credible portfolio in a focused sub-area can still be competitively significant. The inclusion of two academic institutions in the top five also signals that licensing-based strategies may be viable.
Moderate concentrationCross-institutional co-filing is rare; two pairs identified
Only two co-applicant pairs appear in the corpus: Nanyang Technology University collaborating with Oxford University Innovation Ltd, and Hangzhou Dianzi University collaborating with its Shangyu Institute branch. Both are university-internal or university-to-tech-transfer pairings rather than industry–academia alliances. The absence of commercial cross-company co-filings suggests that collaborative IP strategies between industry players have not yet emerged as a competitive pattern in this space.
Sparse collaborationUS and China lead filings; PCT and EPO coverage signals global commercial intent
The United States is the leading filing jurisdiction, followed by China, with WIPO PCT, Israel, India, and Europe (EPO) rounding out the top tiers. The spread across PCT and EPO reflects that key players are seeking multi-regional protection, particularly for commercial desalination markets in the Middle East and Asia-Pacific. India’s presence as a top-six jurisdiction aligns with growing national water-scarcity policy drivers.
US–China–PCT triadGo beyond the landscape: Eureka’s TRIZ Solution agent breaks down an R&D problem and returns patented concept solutions, each with a technical approach and cited patent & literature evidence.
| Applicant | Collaborator | Co-filings |
|---|---|---|
| Nanyang Technological University | Oxford University Innovation Ltd | 1 |
| Hangzhou Dianzi University | Hangzhou Dianzi University Shangyu Institute | 1 |
Co-filing pairs, ranked by the number of jointly-filed patent families.
Fluence Water Israel leads on systems integration; Synauta Inc concentrated on membrane-process claims
The top two commercial filers occupy distinct positions: Fluence Water Israel Ltd has built the largest portfolio with an emphasis on water treatment and membrane maintenance, while Synauta Inc holds nearly as many patent records with an equally strong filtration and treatment focus but has seen a sharp recent decline in new filings.
Fluence Water Israel Ltd
Fluence Water Israel Ltd ranks first with 14 patent records, focused primarily on water and wastewater treatment (C02F 1) and membrane separation and maintenance (B01D 65, B01D 61). Its applicant momentum data is not individually listed in the trend evidence, indicating a stable rather than recently accelerating position. The portfolio’s breadth across treatment and membrane sub-classes reflects a systems-level approach to AI/ML-assisted RO operation.
14 patent recordsSynauta Inc
Synauta Inc holds 13 patent records — nearly matching the leader — with claims concentrated in membrane separation (B01D 61) and water treatment (C02F 1). However, its recent filing momentum shows a sharp decline of 92% versus the prior period, suggesting either a strategic pivot, portfolio consolidation, or a shift away from patenting as a protection strategy. Engineers evaluating freedom-to-operate in membrane-process AI should map Synauta’s existing claims carefully.
13 patent records| Applicant | Recent (3 yrs) | Trend |
|---|---|---|
| Synauta Inc | 1 | ▼ -92% |
| Nanyang Technological University | 1 | ▲ new entrant |
| Veolia Water Solutions & Technologies Support | 2 | ▲ new entrant |
| Ozono Polaris S.A. de C.V. | 1 | ▲ new entrant |
| Hangzhou Dianzi University | 2 | ▲ new entrant |
Under-served IPC branches adjacent to the dominant process core
Several IPC classes appear at low counts relative to the dominant C02F and B01D classes, pointing to areas where patent density is currently sparse. These are observations of relative under-coverage; technical and commercial feasibility should be validated before treating any as an investment signal.
G05B · Control & Regulating Systems
G05B covers industrial control and automation systems — the natural IP home for closed-loop AI controllers governing pump pressure, flow rate, and energy recovery in RO trains. With only 4 patent records in this branch, it is notably sparse relative to the volume of process-engineering claims in C02F and B01D. A filer with existing RO process IP could extend into automated control architectures with limited immediate competitive pressure in this sub-class. Entry path: combine existing membrane-performance AI models with feedback-control claim structures explicitly targeting G05B.
Search this in Eureka →G16C · Computational Chemistry
G16C, covering computational chemistry and materials modelling, contains only 3 patent records in this corpus — the lowest count among the identified adjacent branches. This branch is technically relevant to AI/ML-driven membrane material design, fouling prediction at the molecular level, and ion-rejection optimisation, all of which are active research areas. Sparsity here likely reflects the early stage of translating computational chemistry tools into RO-specific commercial IP rather than a lack of technical value. Entry path: membrane-material or molecular-simulation work combined with RO-specific application claims.
Search this in Eureka →How leading filers differ across technology routes
Route coverage across the main technology branches in the current evidence set.
| Player | C02F 1 · Water & wastewater treatment | B01D 61 · Separation processes (filtration etc.) | B01D 65 · Separation processes (filtration etc.) | C02F 103 · Water & wastewater treatment | C02F 9 · Water & wastewater treatment |
|---|---|---|---|---|---|
| Fluence Water Israel Ltd | Strong · 11 | Strong · 7 | Strong · 10 | Strong · 9 | Absent |
| Synauta Inc | Strong · 13 | Strong · 13 | Absent | Absent | Absent |
| Nanyang Technological University | Strong · 8 | Strong · 8 | Strong · 7 | Absent | Absent |
| Veolia Water Solutions & Technologies Support | Strong · 6 | Strong · 5 | Strong · 5 | Absent | Absent |
| Amaral Avraham Israel | Strong · 3 | Strong · 2 | Strong · 3 | Strong · 2 | Absent |
Frequently asked questions
The evidence covers 104 patent families in scope for this topic, providing the baseline for all applicant rankings and trend analysis presented here.
Fluence Water Israel Ltd holds the top-ranked position with 14 patent records, ahead of Synauta Inc (13 patent records) and Nanyang Technology University (8 patent records).
The field is at a Maturity stage, with annual filings plateaued near their peak rather than on a sustained upward trajectory. The multi-year window still reflects positive growth, but annual volume has eased from earlier highs. Recent-period counts (2025–2026) are likely under-reported due to publication lag.
The United States leads with 37 patent records, followed by China (26), WIPO PCT (13), Israel (12), India (12), and Europe via the EPO (10). The spread across PCT and EPO indicates that key players are pursuing multi-regional protection.
No. Water and wastewater treatment (C02F) and separation/filtration processes (B01D) together account for the large majority of IPC assignments. AI computing (G06N) and digital data processing (G06F, G06Q) are each present but at significantly lower counts, confirming that most patents are rooted in process engineering with AI/ML as an applied layer.
The evidence identifies G05B (control and regulating systems, 4 patent records) and G16C (computational chemistry, 3 patent records) as the sparsest branches with plausible technical relevance to RO AI/ML. G01N (material analysis and testing) and G06Q (business and commerce data processing) are also at low coverage relative to the process-engineering core.
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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.
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