Process Analytical Technology Patents: Leaders & Filing Trends 2026
- Filings grew 39% from 2021 to 2024, climbing from 31 to 43 published records a year even as the field passed its 2020 peak of 63.
- The top 5 assignees hold 29.0% of all 603 records, with the leader alone at 59 — a concentrated head sitting over a long tail of single- and few-filing entrants.
- G01N material analysis touches 43.3% of records, but C12M bioreactor apparatus (22.2%) and F26B drying (10.6%) show the technology reaches well past spectroscopy alone.
Filing growth compares 2021 (31 records) with 2024 (43) — 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 603 records in scope (CR5), not by the ranked leaders only.
What the Process Analytical Technology patent record actually covers
Process Analytical Technology (PAT) patents sit at the intersection of measurement and control: inline sensors, spectroscopic and chromatographic analysis, and the multivariate models that turn a raw signal into a process decision. The 603 records in scope span pharmaceutical manufacturing, bioreactor monitoring, drying, and mixing operations, which is why the IPC composition spreads across material analysis (G01N), bioreactor apparatus (C12M), and radiation measurement (G01J) rather than clustering in a single class.
That spread matters for freedom-to-operate work: a claim written narrowly around a spectroscopic technique may still collide with prior art filed under bioreactor or drying apparatus classes if the underlying control loop is similar. Reading the landscape by IPC class alongside assignee concentration gives a more reliable picture of where claim space is actually occupied than either view alone.
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Filing trends and technology composition
Publication records lag filing by roughly 18 months, so the 2025 and 2026 figures in this dataset are still filling in — the trend should be read through 2024, the last year that can be treated as complete.
A decade of filing activity
Annual publications rose from 28 in 2017 to a peak of 63 in 2020, then settled into a lower but growing band: 31 in 2021 climbing to 43 in 2024, a 39% increase over that span. The apparent decline into 2025-2026 is a publication-lag artefact, not a real slowdown.
Where the claims sit
G01N material analysis and testing covers 43.3% of the 603 records, the largest single class, followed by C12M bioreactor and enzyme apparatus at 22.2% and G01J radiation measurement at 16.3%. A61B diagnosis, A61K medicinal preparations, F26B drying, B01F mixing and B01J catalysis each sit in the 9-13% range, showing that PAT claims are distributed across measurement, formulation and processing apparatus rather than concentrated in one function.
Shares are the percentage of the 603 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.
Go deeper on Process Analytical Technology Patent Landscape with Eureka
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Try EurekaRepresentative filing and most-cited records
Apparatus and method for use in a process analytical technology system (WO2016120589A2)
A process control apparatus for a Process Analytical Technology system including a knowledge management module for defining an external process in terms of at least one quality attribute measurable by a process analytical chemistry tool, enabling a relationship to be defined between a process parameter and that quality attribute, and monitoring variations to control the process accordingly.Filed by Optimal Industrial Automation Limited, published 2016-08-04.


| # | Publication no. | Patent title | Citations |
|---|---|---|---|
| 1 | US20140183362A1 | Short-wave infrared super-continuum lasers for detecting counterfeit or illicit drugs and pharmaceutical proc… | 76 |
| 2 | US9651533B2 | Short-wave infrared super-continuum lasers for detecting counterfeit or illicit drugs and pharmaceutical proc… | 71 |
| 3 | WO2007050013A1 | Multipurpose flow module | 67 |
| 4 | US20120061869A1 | Tablet production module and method for continuous production of tablets | 64 |
| 5 | US20150335248A1 | Methods related to real-time cancer diagnostics at endoscopy utilizing fiber-optic raman spectroscopy | 62 |
| 6 | US20080267845A1 | Multipurpose Flow Module | 55 |
| 7 | US20060208191A1 | System for monitoring a drying process | 53 |
| 8 | WO2010128359A1 | Tablet production module and method for continuous production of tablets | 52 |
| 9 | US11160455B2 | Multi-wavelength wearable device for non-invasive blood measurements in tissue | 51 |
| 10 | US20170130186A1 | Cross-scale modeling of bioreactor cultures using raman spectroscopy | 45 |
Citation counts favour older records still active in a searched corpus; they signal influence on later filings, not current commercial importance.
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Browse MCP servers →What the numbers mean for a filing decision
The concentration and class data point to a field with an established core and a genuinely open edge — the two do not overlap much.
A concentrated head, a long tail
The leading assignee alone accounts for 59 records, and the top 10 combined hold 43.0% of the field. Below that the ranking thins quickly into single- and few-filing entrants, which means most of the 100 ranked companies are defending a narrow position rather than a broad portfolio.
Measurement claims dominate, but not exclusively
G01N is the largest class by a wide margin, yet C12M bioreactor apparatus at 22.2% and F26B drying at 10.6% show that a meaningful share of filings protect the process equipment around the sensor, not just the sensing method itself.
Momentum is real, not a 2020 echo
The field peaked at 63 records in 2020, likely tied to pandemic-era manufacturing scrutiny, but the 2021-2024 climb from 31 to 43 shows sustained filing activity independent of that spike.
Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to process analytical technology patent landscape, with the prior art for and against each one.
Who is filing, and who is not moving
Recent-year momentum data is thin because of publication lag, but it already shows most tracked assignees flat or down year-on-year, with only isolated single-digit activity at the top of the ranking.
A single leader well ahead of the field
The top assignee's 59 records sit well clear of fifth place at 20 and tenth place at 16, indicating a portfolio built over years rather than a recent surge.
A crowded second tier
Between fifth and tenth place the gap narrows to a handful of records each, meaning several organisations hold comparable-sized positions worth watching for opposition or licensing activity.
Latest-year counts are too thin to call a trend
Individual assignee momentum figures for the most recent year are mostly zero or single digits, which is expected given publication lag rather than a sign that filing has stopped.
| Assignee | Recent year | YoY |
|---|---|---|
| OMNI MEDSCI INC | 1 | -50% |
| Regeneron Pharmaceuticals Inc | 1 | — |
| Millrock Technology Inc | 0 | — |
| University of Maryland, Baltimore County | 0 | -100% |
| Kikusui Seisakusho Ltd | 0 | — |
| GEA Pharma Systems Ltd | 0 | — |
| Alfa Laval Corporate AB | 0 | — |
| National University of Singapore | 0 | — |
Where to take this analysis
The published record only shows what has already cleared examination or publication; the current filing frontier sits in applications not yet public.
Map freedom-to-operate against the top assignees
With 43.0% of records held by ten organisations, a targeted clearance search against those portfolios is more efficient than a broad novelty search across all 603 records.
Explore assignee portfolios in EurekaWatch the under-claimed branches
Continuous drying control and mixing feedback loops show lower filing density than core spectroscopy classes, making them candidates for a first-mover claim rather than a crowded one.
Run a white space search in EurekaFrequently asked questions
The dataset ranks 100 assignees by patent family count, with the leader holding 59 records against 603 total in scope. The top 5 assignees together account for 29.0% of all records, and the top 10 for 43.0%, so the field has a clear concentrated head. Below that, filing activity thins into a long tail of organisations with only a few records each, which is typical for a cross-disciplinary field spanning pharma, bioprocessing and instrumentation.
Filings grew 39% between 2021 and 2024, rising from 31 to 43 published records a year, which is the most reliable recent trend the data supports. The field's all-time peak was 2020 at 63 records, likely tied to a burst of pharmaceutical manufacturing activity. Figures for 2025 and 2026 look lower, but that reflects the roughly 18-month lag between filing and publication rather than an actual drop in activity.
G01N, material analysis and testing, is the largest class at 43.3% of the 603 records, reflecting the centrality of inline measurement and spectroscopy. C12M bioreactor and enzyme apparatus follows at 22.2%, and G01J radiation measurement at 16.3%. Because records can carry multiple IPC classes, these percentages add up to more than 100%, and the presence of A61K, F26B and B01F classes at 9-13% each shows the technology extends into formulation, drying and mixing equipment as well as pure sensing.
WO2016120589A2 describes a process control apparatus with a knowledge management module that links a measurable quality attribute to a process parameter and uses that relationship to control the external process. It is a representative filing rather than the single most-cited one in this dataset, but it illustrates the closed-loop control-and-monitoring architecture that recurs across many PAT filings. Anyone designing a similar knowledge-management or feedback-control layer around inline analytics should review its specific claim scope directly rather than assume novelty from the general architecture alone.
Relative to the dense G01N and C12M classes, sub-areas such as real-time drying endpoint control, mixing homogeneity feedback, and mass-transfer sensing in continuous bioreactors show lower filing density in this dataset. That does not mean they are unclaimed, but it does mean the claim space is less occupied than core spectroscopic measurement. A first filing in one of these branches with a specific, narrowly drafted control loop has a better chance of clearing prior art than a broad spectroscopy claim would.
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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.