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Accelerometer for Condition Monitoring Patent Landscape

Accelerometer for Condition Monitoring Patent Landscape
Competitive Landscape
Accelerometer for Condition Monitoring Patent Landscape in 2026

The accelerometer-for-condition-monitoring field is in a Growth stage, with annual filings rising and India accounting for the largest share of jurisdictional activity. Activity is moderately concentrated, with academic institutions and IoT-portfolio holders sharing the lead alongside established semiconductor players.

81
Patent families in scope
39%
Top-5 share of top-100 filers
+22%
3-yr filing growth (lag-adj.)
India
Leading jurisdiction
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Published byPatsnap Insights Team··6 min readVerified by Patsnap Eureka data
Overview

India-led academic filers dominate a moderately concentrated field

Lovely Professional University holds the top position with 14 patent records, followed by Strong Force IoT Portfolio 2016 LLC at 10 and Galgotias University at 8. The top five filers together account for 39% of the hundred largest filers’ combined total, indicating moderate concentration with meaningful room for challengers.

A visible tier gap exists between the top two filers (14 and 10 patent records respectively) and the cluster of mid-tier players filing 6 or fewer records. STMicroelectronics at 6 and Hitachi at 5 are the only established industrial-electronics firms in the top five.

Leading applicants
#ApplicantPatent recordsShare
1Lovely Professional University14
2Strong Force IoT Portfolio 2016 LLC10
3Galgotias University8
4STMicroelectronics Inc6
5Hitachi Ltd5
6Easwari Engineering College3
7ITT Manufacturing Enterprises LLC2
8Analog Devices Inc2
9CSI Technologies LLC2
10Augury Systems Ltd2
#ApplicantPatent recordsShare
11Vellore Institute of Technology2
12Guilin University of Electronic Technology2
13Chongqing University2
14SRM INST OF SCI & TECH (RAMAPURAM CAMPUS)2
15Movus Technologies Pty Ltd1
16Dr. Putti Srinivasa Rao1
17Ludwik Jan Liszka1
18Tianjin Fushenmoen Information Technology Co Ltd1
19Guru Nanak Institute of Technology1
20Mitsubishi Electric Corporation1
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The dominance of academic and research institutions in the upper tier suggests that foundational and applied research is still being actively published, and that commercial players have not yet consolidated the IP landscape to the degree typical of mature technology fields.

Filings from the most recent 18–24 months are likely under-counted due to publication lag; the current rankings and totals should be treated as a floor rather than a ceiling for recent activity. 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

Filing volumes rising with dominant control-systems and vibration-measurement themes

Annual filing activity shows a growth trajectory across the review window, while the technology composition reveals a corpus spanning control systems, vibration measurement, AI-based inference, and digital communications.

Annual filing trend

Filings were relatively sparse from 2017 to 2021, then accelerated sharply in 2024 (17 records) and remained elevated in 2025 (15 records). The 2026 count of 9 records is almost certainly understated due to publication lag and should not be read as a slowdown. Overall recent-window growth stands at 22%.

Annual filing trendAnnual values from 2017 to 2026, peaking at 17 in 2024.42017220181420193202062021720224202317202415202592026↗ Hover for values · click a bar to ask Eureka

Technology composition

G05B (Control and regulating systems) is the dominant branch with 64 patent records, reflecting the condition-monitoring application layer. G01H (Measuring vibrations and sound, 34 records) and G01M (Testing machine and structural balance, 26 records) form the core sensing layer, while G06N (AI models, 24 records) and H04L (Digital information transmission, 15 records) show increasing integration of machine-learning inference and IoT connectivity.

Technology compositionG05B · Control & regulating systems leads with 64; G01H · Measuring vibrations & sound 34.G05B · Control & regulat…64G01H · Measuring vibrati…34G01M · Testing machine &…26G06N · Computing based o…24H04L · Digital informati…15G01P · Velocity & accele…14G01R · Electric & magnet…13G06Q · Business, commerc…12↗ 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
US20200133255A1Published 2020-04-30

Methods and systems for data collection, learning,…

Strong Force Iot Portfolio 2016, LLC

An industrial machine predictive maintenance system may include an industrial machine data analysis facility that generates streams of industrial machine health monitoring data by applying machine learning to data representative of conditions of portions of industrial machines received via a data collection network. The system may include an industrial… (excerpt from the patent abstract)

Methods and systems for data collection, learning,… — patent drawingMethods and systems for data collection, learning,… — patent drawing
Representative drawings from the patent document.
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Highly cited patent families surfaced by this query
#PatentCitations
1Methods and systems for detection in an industrial…177
2Methods and systems for data collection, learning,…145
3Methods and systems for determining a normalized s…133
4Methods and systems for data collection, learning,…129
5Methods and systems for data collection, learning,…89
6System for operational monitoring of a machine69
7Methods and systems for data collection, learning,…41
8Electronic vibration sensor32

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 →
Insights

What the competitive structure means for R&D investment

The field’s growth stage and mixed applicant profile create both openings for new entrants and risks from well-resourced incumbents building portfolio positions. The four structural observations below inform where effort is best directed.

Growth

Growth stage with rising annual filings

The lifecycle assessment places this field firmly in Growth, with annual filings still rising and the most recent years understated by publication lag. A 22% recent-window growth rate confirms the field has not yet peaked. R&D teams entering now can still establish foundational positions before the landscape matures and freedom-to-operate narrows.

Growth stage
Concentration

Moderate concentration, with academic filers leading

The top five filers hold 39% of the hundred largest filers’ combined total, a moderate concentration level that leaves substantial space for commercial entrants. The leading positions are held by universities and an IoT-portfolio holder rather than vertically integrated manufacturers, which means core sensing and system-integration IP may still be acquirable or licensable at reasonable terms.

Moderate HHI
Collaboration

STMicroelectronics cross-entity filings most active; limited broader ecosystem co-filing

The most active co-filing relationship is between STMicroelectronics (Italy) and STMicroelectronics Inc, with 7 co-filed records — likely reflecting intra-corporate coordination across legal entities. Chongqing University co-filed with State Grid Chongqing Electric Power Co. and State Grid Corporation of China (1 record each), indicating early utility-sector collaboration in China. Broader cross-sector or cross-institutional collaboration remains sparse, representing an ecosystem gap.

Low co-filing depth
Geography

India is the dominant filing jurisdiction; US and China are secondary

India accounts for 42 patent records at the jurisdictional level, more than the United States (24) and China (9) combined. Europe via EPO registers 7 records. The India-heavy profile reflects the large academic applicant base. Commercial protection strategies focused on industrial markets should prioritise US and European coverage, where end-market demand for condition-monitoring systems is highest.

India-led, US secondary
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Top collaboration links
ApplicantCollaboratorCo-filings
STMicroelectronics (Italy)STMicroelectronics Inc7
Chongqing UniversityState Grid Chongqing Electric Power Co. Electric Power Science Research Institute1
Chongqing UniversityState Grid Corporation of China1

Co-filing pairs, ranked by the number of jointly-filed patent families.

Source: Patsnap Eureka. Insights are derived from applicant ranking, lifecycle assessment, collaboration data, and jurisdictional distribution in the corpus.Explore insights →
Leaders

Top filers range from academic institutions to semiconductor specialists

The leading applicants reflect two distinct strategic postures: university-driven applied research filing broadly across the control-and-sensing stack, and focused semiconductor-IP holders concentrating on acceleration measurement physics.

Leader · Lovely Professional University

Lovely Professional University

Lovely Professional University leads with 14 patent records and entered as a new entrant in the recent period, concentrating filings across G05B 23 (condition monitoring within control systems), G07C 5 (checking devices), and A61B 5 (medical diagnostics). The breadth of technology focus suggests exploratory academic filing rather than a tightly scoped commercial IP strategy.

14 patent records
Challenger · STMicroelectronics

STMicroelectronics

STMicroelectronics (consolidated across its Italian and US legal entities) holds 6 patent records with a sharply focused profile in G01P 15 and G01P 21 (velocity and acceleration measurement), also entering as a new entrant in the recent window with 4 recent records. This concentrated MEMS-sensing focus positions it as the most commercially oriented filer in the top tier, with co-filing activity indicating cross-entity IP coordination.

6 patent records
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Hitachi LtdStrong Force IoT Portfolio 2016 LLC+ more
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Leading-applicant momentum (recent 3 yrs, lag-adjusted)
ApplicantRecent (3 yrs)Trend
Lovely Professional University14▲ new entrant
Strong Force IoT Portfolio 2016 LLC1▲ new entrant
Galgotias University1▲ new entrant
STMicroelectronics (Italy)4▲ new entrant
STMicroelectronics Inc4▲ new entrant
Chongqing University1▲ new entrant
Source: Patsnap Eureka. Player cards are based on patent-record counts from the applicant ranking and technology focus from IPC sub-class analysis.Explore players →
Adjacent Branches

Under-served branches adjacent to the dominant sensing and control core

Several IPC branches appear at lower filing densities relative to the dominant G05B and G01H core; these are observations of relative sparsity and are noted here where they also carry plausible technical value for condition-monitoring applications.

G01P · Velocity & Acceleration (core sensor physics)

With only 14 patent records, the G01P branch — covering the fundamental physics of acceleration sensing — is sparse relative to the application-layer G05B branch (64 records). This gap suggests that novel accelerometer transducer designs, calibration methods, and MEMS architectures for condition-monitoring duty cycles remain under-patented. A realistic entry path exists for semiconductor and MEMS-specialist firms with sensor-physics expertise, as STMicroelectronics and Analog Devices have begun staking positions here but the branch is far from crowded.

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G01M · Machine & Structural Testing

G01M (Testing machine and structural balance) holds 26 patent records — meaningful in absolute terms but representing only 8% of the corpus at the patent-record level, and sparse relative to the breadth of industrial machinery applications (pumps, turbines, bearings, shafts) covered by the condition-monitoring domain. Co-filings between Chongqing University and State Grid entities signal utility-sector interest in rotating-machine diagnostics. Engineers focused on bearing-fault detection, shaft imbalance characterisation, or multi-axis structural health monitoring would find limited incumbent density in this branch.

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Access detailed branch-level gap analysis across all IPC classes identified in this corpus.
G06N · AI model inference for vibration diagnosticsH04L · Secure transmission of sensor data+ more
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Source: Patsnap Eureka. Adjacent branch cards are based on lower-share IPC classes identified in the whitespace analysis; sparsity is relative to the dominant G05B branch.Explore emerging →
Route Matrix

How leading applicants differ by technology route

Route coverage across the main technology branches in the current evidence set.

PlayerG05B 23 · Control & regulating systemsG05B 19 · Control & regulating systemsG06N 20 · Computing based on AI modelsG01H 1 · Measuring vibrations & soundG01M 13 · Testing machine & structure balance
Strong Force IoT Portfolio 2016 LLCStrong · 10Strong · 10Strong · 9AbsentEmerging · 2
Galgotias UniversityStrong · 5Moderate · 2AbsentStrong · 3Strong · 4
Lovely Professional UniversityStrong · 8Moderate · 2Moderate · 3AbsentAbsent
Hitachi LtdStrong · 5AbsentAbsentStrong · 3Absent
CSI Technologies LLCStrong · 2AbsentAbsentStrong · 2Strong · 2
Easwari Engineering CollegeStrong · 3Moderate · 1AbsentAbsentModerate · 1
Vellore Institute of TechnologyStrong · 2AbsentStrong · 2AbsentAbsent
Source: Patsnap Eureka. Matrix values are measured in patent records and should not be compared directly with family-level applicant totals.Compare in Eureka →
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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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