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Raman Process Monitoring Calibration Model Patents: Leaders & Trends 2026

Raman Process Monitoring Calibration Model Patents: Leaders & Trends 2026
https://www.patsnap.com/resources/blog/rd-blog/raman-process-monitoring-calibration-model-patent-landscape/ · Patsnap · data cut-off 2026-07-31 · downloaded from the live page
Patent Landscape · Updated 2026
Raman Process Monitoring Calibration Model Patents: Who Files, Where and What's Still Open
  • A fragmented field, not a monopoly. the leader holds 44 records and the top 5 combined account for only 13.8% of the 1,243 records in scope — most of the field sits with single- and few-filing entrants.
  • Filing has cooled from its 2022 peak. annual output ran from 70 records in 2021 to 52 in 2024, a 26% decline over that span, after peaking at 90 records in 2022.
  • Optics and material analysis dominate the claim space. G01N appears in 99.4% of records and G01J in 29.4%, while AI-based computation (G06N) appears in just 3.8% — a narrow, largely open seam between spectroscopy hardware and model-building software.
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1,243
Published Records
14%
Top-5 Share of All Records
-26%
Filing Growth 2021→2024
US
Leading Jurisdiction

Filing growth compares 2021 (70 records) with 2024 (52) — 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 1,243 records in scope (CR5), not by the ranked leaders only.

Published byPatsnap Research··7 min readSourced from Patsnap Eureka
Overview

What this landscape covers

This landscape tracks patent filings at the intersection of Raman spectroscopy hardware and calibration modelling practice — reference samples, calibration transfer, prediction error, validation sets, concentration ranges and model updates — across IPC classes covering optical spectroscopy (G01N21/65, G01N21/359) and enzymatic/DNA measurement (C12Q3/00). It spans 1,243 published records filed between 2015 and mid-2026.

The scope deliberately sits at the boundary between instrumentation claims and the statistical or software methods used to keep a calibration model valid as reference conditions drift, which is why bioprocessing, diagnostics and materials-analysis assignees all appear in the same ranking.

Filing activity and technology composition, 2015–2026
  1. 1JOHNSON MATTHEY PLC44
  2. 2REGENERON PHARMACEUTICALS INC40
  3. 3BECTON DICKINSON & CO32
  4. 4MASSACHUSETTS INST OF TECH28
  5. 5CELL THERAPY CATAPULT27
  6. 6VIAVI SOLUTIONS INC(US)25
  7. 7EASTMAN CHEM CO24
  8. 8CHEMIMAGE CORP20
  9. 9BIOGEN MA INC18
  10. 10JANSSEN BIOTECH INC17
Source: Patsnap Eureka. Assignee ranking and totals. Derived from a Patsnap search on Raman Process Monitoring Calibration Model covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP

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The Data

Filing trend and technology composition

Two views of the same 1,243-record corpus: annual filing volume, and the IPC subclasses those records carry.

Filing trend, 2017–2026

Filings rose from 52 records in 2017 to a peak of 90 in 2022, then eased to 52 by 2024 — a 26% decline over the 2021–2024 span. Note that 2025 and 2026 figures are still incomplete, since publication typically lags filing by around 18 months, so the most recent years understate true activity rather than signalling an accelerating drop.

Filing trend, 2017–20260255075100522017201820192020202190202220232024202582026Most recent year is partial — publication lag means later filings are not yet visible.

IPC subclass composition

G01N (material analysis and testing) touches almost the entire corpus at 99.4% of records, with G01J (radiation and light measurement) present in 29.4%. Life-science-adjacent classes — A61B at 13.6%, C12Q at 6.3%, C12M at 3.4% — mark where Raman calibration work overlaps bioprocessing and diagnostics, while G06N at 3.8% shows AI-based model computation is still a minority claim element rather than the norm.

IPC subclass compositionG01N · Material analysis & testing1,23699.4%G01J · Radiation & light measurement36529.4%A61B · Diagnosis & surgery16913.6%B82Y · Nanotechnology applications917.3%C12Q · Measuring & testing involving …786.3%G06N · Computing based on AI models473.8%C07K · Peptides & proteins453.6%C12M · Bioreactors & enzyme apparatus423.4%Other65252.5%

Shares are the percentage of the 1,243 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.

Source: Patsnap Eureka. Filing trend and technology composition. Derived from a Patsnap search on Raman Process Monitoring Calibration Model covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.

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Key Patents

Most-cited records and a representative filing

Representative Filing
US20220299370A12022-09-22

A Raman spectroscopy integrated perfusion cell culture system for monitoring and auto-controlling perfusion cell culture

WUXI BIOLOGICS IRELAND LIMITED

Filed by WuXi Biologics Ireland Limited, this application describes a bioreactor fitted with Raman probes immersed directly in the culture, feeding a host computer that monitors and auto-controls perfusion cell culture in real time. It ties spectroscopic measurement directly to bioprocess control rather than to offline analysis.Filed 2022-09-22 · US20220299370A1

US20220299370A1 — patent drawing 1US20220299370A1 — patent drawing 2
View full record →
Most-cited records in this corpus
#Publication no.Patent titleCitations
1US5615673AApparatus and methods of raman spectroscopy for analysis of blood gases and analytes369
2US20040073120A1Systems and methods for spectroscopy of biological tissue329
3US6197503B1Integrated circuit biochip microsystem containing lens303
4US20040127777A1Indirect measurement of tissue analytes through tissue properties243
5US20040180379A1Surface-enhanced raman nanobiosensor224
6US6448064B1Integrated circuit biochip microsystem219
7US5850623AMethod for standardizing raman spectrometers to obtain stable and transferable calibrations216
8US9554738B1Spectroscopic tomography systems and methods for noninvasive detection and measurement of analytes using coll…178
9US6610351B2Raman-active taggants and their recognition174
10US5404218AFiber optic probe for light scattering measurements174

Citation counts favour older filings that have had more time to accumulate citations within the searched corpus — treat them as a signal of influence on the field, not of current commercial importance.

Each row carries its publication number; clicking a row searches Eureka by that number.

Source: Patsnap Eureka. Citation counts and representative records. Derived from a Patsnap search on Raman Process Monitoring Calibration Model covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
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Insights

What the numbers mean for a filing decision

Three patterns worth weighing before committing claim language in this space.

Concentration
13.8%
of 1,243 records held by top 5 assignees

No single assignee controls the field

The leader holds 44 records and the top 5 combined account for 13.8% of the 1,243 records in scope; the top 10 reach 22.1%. That leaves the large majority of filings distributed across a long tail of entrants with just one or a handful of records each.

Ranking covers 100 assignees, counted in records.
Momentum
70 → 52
records, 2021 to 2024 (-26%)

Volume has eased from its 2022 peak

Annual filings peaked at 90 records in 2022 and fell to 52 by 2024, a 26% decline over that three-year span. Because publication lags filing by roughly 18 months, 2025-2026 figures are still filling in and should not be read as a continued fall.

2024 is the most recent year treatable as complete.
Composition
3.8%
of records carry G06N (AI-based computation)

Model-side computation is thinly claimed

G01N and G01J together cover the great majority of records, confirming this is still primarily an optics-and-materials-analysis field. G06N appears in only 3.8% of records, C12M (bioreactors) in 3.4% — the software and apparatus layers around calibration itself are comparatively open.

Shares are of all 1,243 records; a record can carry multiple IPC classes.
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Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to raman process monitoring calibration model, with the prior art for and against each one.

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Source: Patsnap Eureka. Co-assignee relationships and derived observations. Derived from a Patsnap search on Raman Process Monitoring Calibration Model covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
Players

Who is filing, and where the gaps sit

The ranking spans instrument makers, diagnostics firms and pharmaceutical manufacturers, reflecting how calibration-model patenting spreads across hardware, bioprocessing and diagnostic use cases rather than sitting with one industry.

Leader
44
records

A modest lead, not a monopoly

The top-ranked assignee holds 44 of the 1,243 records in scope, roughly 3.5% of the total corpus — enough to lead the ranking but far short of dominating the claim space.

Fifth place holds 27 records; tenth place holds 17.
Tail
22.1%
held by top 10 combined

A long tail beyond the leaders

With the top 10 assignees together accounting for 22.1% of all records, close to four-fifths of filings sit outside the ranked leadership — spread across the 90 remaining ranked assignees and unranked single-filers.

Ranking includes 100 assignees, counted in records.
Recent activity
0
latest-year filings for several ranked leaders

Several established filers show no latest-year output

A number of assignees that appear high in the overall ranking, including instrumentation and pharmaceutical names, show zero filings in the latest tracked year. That reads as a lag in publication for very recent filings as much as a slowdown, given the 18-month publication delay.

Momentum is measured year-over-year against each assignee's own prior filings.
🔍
Under-claimed sub-areas
Branches where filing density is thin relative to the core spectroscopy claims
automated calibration-transfer across instrumentsAI-driven model drift correctionbioreactor-integrated Raman probes for perfusion culturesurface-enhanced Raman calibration standardsenzyme/DNA concentration-range validation sets
Rank all filers by momentum →
Recent-year filing momentum
AssigneeRecent yearYoY
Johnson Matthey Plc0
Regeneron Pharmaceuticals Inc0-100%
Becton, Dickinson and Company0
Eastman Chemical Company0
Cell Therapy Catapult0
Viavi Solutions Inc0
Massachusetts Institute of Technology0
ChemImage Corp0
Source: Patsnap Eureka. Assignee-level momentum. Derived from a Patsnap search on Raman Process Monitoring Calibration Model covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
What's Next

Where to take this next

The dataset points to specific follow-up questions rather than a single conclusion.

Track the 2025-2026 publication lag

Current filing figures for the most recent years will keep rising as applications publish. Revisit the trend once the 18-month lag has cleared to see whether the 2022 peak was a plateau or a genuine high point.

Explore filing trends in Eureka →

Map the G06N-G01N overlap

Only 3.8% of records carry G06N alongside the dominant G01N class, suggesting AI-based calibration-model methods are still lightly claimed against the hardware base. That overlap is worth a dedicated search before committing claim language.

Run a targeted overlap search in Eureka →

Watch the long tail for consolidation

With 22.1% of records held by the top 10 and the rest spread thinly, licensing or acquisition activity among smaller filers could shift concentration quickly. Monitor assignee-level momentum rather than relying on a single snapshot.

Set up assignee monitoring in Eureka →
Source: Patsnap Eureka. Forward-looking reading of the same dataset. Derived from a Patsnap search on Raman Process Monitoring Calibration Model covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
FAQ

Common questions on this landscape

Answers are grounded in the same dataset. Derived from a Patsnap search on Raman Process Monitoring Calibration Model covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP

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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.

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