https://www.patsnap.com/resources/blog/rd-blog/analog-in-memory-computing-precision-and-conversion-patent-landscape/ · Patsnap · data cut-off 2026-07-31 · downloaded from the live page
Patent Landscape · Computing Architecture
Analog In-Memory Computing Precision and Conversion Patents
  • Filing has already peaked. 2022 was the high point at 855 filings; the trend since is flat to declining, not accelerating.
  • No single company controls the field. The leader holds 717 records and the top 5 combined are just 7.3% of all 41,171 records in scope.
  • Coding and conversion dominate the claim map. H03M (coding & code conversion) alone touches 16.6% of records — several times any other subclass.
Get a prior-art report on your approach
41.2K
Published Records
7%
Top-5 Share of All Records
-30%
Filing Growth 2021→2024
US
Leading Jurisdiction

Filing growth compares 2021 (809 records) with 2024 (566) — 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 41,171 records in scope (CR5), not by the ranked leaders only.

Published byPatsnap Research··6 min readSourced from Patsnap Eureka
Overview

What this landscape covers

Analog in-memory computing precision and conversion sits at the intersection of mixed-signal circuit design and compute-in-memory architecture: how a system converts digital weights and activations into analog signals, accumulates partial sums inside a memory array, and converts the result back to digital without losing accuracy to IR drop, device mismatch or ADC energy overhead. This dataset spans 41,171 published records filed between 2015 and mid-2026, searched against terms covering ADC energy share, bit slicing, partial sum accumulation, IR drop and calibration routines that recover achievable effective bit precision.

Because publication lags filing by roughly 18 months, the most recent year in any trend below is necessarily undercounted — treat the 2025-2026 figures as a floor, not a ceiling.

Filing activity, 2017-2026
  1. 1QUALCOMM INC717
  2. 2TEXAS INSTRUMENTS INC672
  3. 3ANALOG DEVICES INC593
  4. 4SAMSUNG ELECTRONICS CO LTD571
  5. 5INTEL CORP447
  6. 6TELEFONAKTIEBOLAGET LM ERICSSON (PUBL)395
  7. 7AVAGO TECHNOLOGIES INTERNATIONAL SALES PTE LTD361
  8. 8REALTEK SEMICON CORP323
  9. 9NXP BV316
  10. 10INTERNATIONAL BUSINESS MACHINE CORPORATION291
Source: Patsnap Eureka. Assignee ranking and totals. Derived from a Patsnap search on Analog In-Memory Computing Precision and Conversion 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

Let an AI agent run this analysis on your own technology

Pick a task. Every answer cites the patents behind it.

10,000 free credits to start
The data

Filing trend and technology composition

Two views of the same 41,171-record corpus: the pace of filing over time, and where those filings sit across the IPC classification system.

Filings rose then plateaued

Filings climbed from 755 in 2017 to a peak of 855 in 2022, then eased off. The most recent full year sits well below peak, and 2026 (42 filings) is a partial year still filling in as publications catch up.

Filings rose then plateaued02505007501,000755201720182019202020218552022202320242025422026Most recent year is partial — publication lag means later filings are not yet visible.

Coding and conversion lead by a wide margin

H03M (coding & code conversion) covers 16.6% of all records, more than three times the next largest class, H04B (transmission, general) at 5.1%. Because a record can carry multiple IPC classes, these shares add up past 100% — the point is the relative weight, not a partition of the whole.

Coding and conversion lead by a wide marginH03M · Coding & code conversion6,82716.6%H04B · Transmission (general)2,0905.1%G06F · Electric digital data processi…1,6734.1%G01R · Electric & magnetic measurement1,5413.7%H04L · Digital information transmissi…1,3773.3%H04N · Pictorial communication (video…1,3483.3%G01N · Material analysis & testing9782.4%H03K · Pulse technique & logic circui…9362.3%Other15,56237.8%

Shares are the percentage of the 41,171 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 Analog In-Memory Computing Precision and Conversion covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.

Go deeper on Analog In-Memory Computing Precision and Conversion with Eureka

This page is one run against one query. Ask Eureka your own question about analog in-memory computing precision and conversion and every answer comes back with the patent numbers behind it.

Try Eureka
Key patents

A representative filing

Representative record
US20240396568A12024-11-28

Adaptive analog partial sum accumulation technology for energy-efficient compute-in-memory

INTEL CORPORATION

Filed by Intel, this application describes a DAC stage generating analog input activations, a multiply-accumulate stage combining those signals with multi-bit weight data, an analog integration stage performing partial sum accumulation, and an ADC stage converting the accumulated result back to digital.The claim scope centres on where accumulation happens: keeping partial sums in the analog domain before the final ADC step, rather than converting after every multiply-accumulate operation.

US20240396568A1 — patent drawing 1US20240396568A1 — patent drawing 2
View full record
Most-cited records in this corpus
#Publication no.Patent titleCitations
1US20150272571A1Surgical instrument utilizing sensor adaptation2,944
2US5012411AApparatus for monitoring, storing and transmitting detected physiological information1,450
3US20080114250A1Transducer array imaging system1,234
4US5001649ALinear power control for ultrasonic probe with tuned reactance1,023
5US5923027AMoisture sensor and windshield fog detector using an image sensor961
6US5564434AImplantable capacitive absolute pressure and temperature sensor849
7US5606242ASmart battery algorithm for reporting battery parameters to an external device803
8US5580794ADisposable electronic assay device800
9US6243654B1Transducer assembly with smart connector707
10US7215991B2Wireless medical diagnosis and monitoring equipment660

Citation counts favour older filings that have had more time to accumulate citations inside this searched corpus — read them as a signal of influence, not of current 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 Analog In-Memory Computing Precision and Conversion 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
Run it yourself

Put your own technology through the same analysis


  
Where to run it
Fastest

Eureka on the web

When you want the answer in the next five minutes.

The agent works the prompt against patents and technical literature, citing every source.

Run your analysis now →
For builders

MCP server & REST API

When it has to run inside your own pipeline.

Patent search, landscape analysis and assignee resolution as MCP tools. Drop them into any agent framework, or call REST directly.

Browse MCP servers →
Insights

What the numbers mean for a filing decision

Three patterns worth acting on before drafting claims in this space.

Concentration
7.3% of 41,171
top 5 combined share

No single owner blocks the field

The leader holds 717 records against a total of 41,171, and the top 5 combined amount to just 7.3% of all records in scope. That is a fragmented field rather than one dominated by a handful of blocking portfolios — freedom-to-operate risk is spread thin rather than concentrated.

Assignee ranking, 100 companies
Momentum
855 in 2022, 42 in 2026 (partial)
filings, peak vs. latest

Filing has already crested

The trend peaked at 855 filings in 2022 and has since declined; the leading assignees in the recent-year momentum data all show negative year-on-year movement. This is a maturing filing cycle, not a growth curve — new entrants are filing into a field where the pace has already slowed.

Filing trend, 2017-2026
Composition
16.6% of records in H03M
coding & code conversion

Conversion circuitry is the densest claim area

H03M (coding & code conversion) accounts for 16.6% of all 41,171 records, well ahead of transmission (H04B, 5.1%) or digital data processing (G06F, 4.1%). Precision and conversion claims are concentrated in coding circuitry rather than spread evenly across the compute-in-memory stack.

IPC composition, all records
Geography
13,237 US filings
vs. 3,221 EPO, 1,989 PCT

Filing is US-centred with a PCT tail

United States filings (13,237) far outnumber Europe (3,221) and WIPO PCT filings (1,989), with Canada, Australia and the UK trailing further behind. A filing strategy built only around US coverage would miss the smaller but non-trivial European and PCT routes some assignees are already using.

Receiving office breakdown
Eureka AI Agent
Looking for what nobody has claimed yet?

Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to analog in-memory computing precision and conversion, with the prior art for and against each one.

Find the white space →
Source: Patsnap Eureka. Co-assignee relationships and derived observations. Derived from a Patsnap search on Analog In-Memory Computing Precision and Conversion 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 holds the ground, and where it's thinning

The ranked leaders sit atop a long tail, and several of the most active historical filers have pulled back sharply in the most recent year.

Leader
717 records
leading assignee

A leader without a lock

The top-ranked assignee holds 717 records, well ahead of fifth place at 447 and tenth at 291 — a real lead, but nowhere near control of a 41,171-record field.

Assignee ranking
Pullback
-100% YoY
two major filers, latest year

Historic leaders are stepping back

Two of the most historically active filers show zero filings in the latest year, a -100% year-on-year drop, while others in the momentum data show declines between -43% and -90%. Recent activity does not track historical share.

Recent-year momentum by assignee
Collaboration
10 co-assignee pairs
strongest pair: 22 shared records

Co-filing is limited and mostly intra-group

Only 10 co-assignee pairs appear in the data, and the strongest pair — a company and its Japanese instrument subsidiary — share 22 records. Co-assignment here looks more like corporate structure than external partnership.

Co-assignee pairs
🔍
Under-claimed sub-areas worth checking before filing
These sit adjacent to the dense H03M and H04B clusters but carry markedly fewer records.
IR-drop compensation calibration loopsmixed-signal bit-slicing for multi-bit weightsADC energy-share reduction circuitsruntime achievable-effective-bit trackingcross-array partial sum routing
Rank all filers by momentum →
Recent-year filing momentum
AssigneeRecent yearYoY
Texas Instruments Inc4-43%
Analog Devices Inc1-75%
Qualcomm Inc1-89%
Samsung Electronics Co Ltd1-90%
Intel Corp0-100%
International Business Machines Corporation0-100%
Broadcom Inc0
Telefonaktiebolaget LM Ericsson (publ)0
Source: Patsnap Eureka. Assignee-level momentum. Derived from a Patsnap search on Analog In-Memory Computing Precision and Conversion 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

Two directions depend on what you're trying to decide.

Check freedom-to-operate against the representative claim

Intel's 2024 filing on adaptive analog partial sum accumulation defines where accumulation happens in the signal chain — a detail worth checking against any design that keeps sums in the analog domain before final conversion.

Explore the full record in Eureka

Map the under-claimed sub-areas against your own roadmap

IR-drop compensation and runtime effective-bit tracking sit at lower filing density than coding and conversion circuitry generally — worth a closer look before assuming that ground is occupied.

Run a white space search in Eureka
Source: Patsnap Eureka. Forward-looking reading of the same dataset. Derived from a Patsnap search on Analog In-Memory Computing Precision and Conversion 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 Analog In-Memory Computing Precision and Conversion 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

Research Analog In-Memory Computing Precision and Conversion in depth with Eureka

Go past this page: query the whole analog in-memory computing precision and conversion corpus yourself, in your own scope.
Every answer comes back with patent numbers you can open.

Try Eureka

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.