https://www.patsnap.com/resources/blog/rd-blog/intermediate-representation-design-patent-landscape/ · Patsnap · data cut-off 2026-07-31 · downloaded from the live page
Patent Landscape · Compilers & Code Optimization
Intermediate representation design patents: who holds the ground compilers stand on
  • 66.2% of 6,021 records sit with just five assignees — filing here means measuring your claims against an already-crowded top.
  • Filings fell 32% from 683 in 2021 to 465 in 2024, the last year the data treats as complete.
  • 77.1% of records carry a G06F class, but AI-model computing (G06N, 16.2%) and image processing (G06T, 21.2%) show where IR work is now being pulled.
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6,021
Published Records
66%
Top-5 Share of All Records
-32%
Filing Growth 2021→2024
US
Leading Jurisdiction

Filing growth compares 2021 (683 records) with 2024 (465) — 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 6,021 records in scope (CR5), not by the ranked leaders only.

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

What this landscape covers

Intermediate representation (IR) design sits at the core of how compilers translate source code into something a machine can execute efficiently. This landscape tracks patent activity around static single assignment form, compiler optimization passes, code lowering, pass ordering, and the supporting infrastructure of invariant verification and debug information that keeps an IR trustworthy as it moves through transformation stages. The scope spans 6,021 published records filed between 2015 and mid-2026.

The dataset captures both classic CPU-targeted compiler work and the newer wave of IR design built for graph transformation on AI accelerators — a split visible in the IPC composition, where general digital data processing (G06F) dominates but AI-model computing (G06N) and image/graph processing (G06T) carry a meaningful share.

Filing activity and technology composition, 2015–2026
  1. 1INTEL CORP1,825
  2. 2NVIDIA CORP1,445
  3. 3INTERNATIONAL BUSINESS MACHINE CORPORATION278
  4. 4MICROSOFT TECHNOLOGY LICENSING LLC253
  5. 5SAMBANOVA SYSTEMS INC187
  6. 6ORACLE INT CORP113
  7. 7DIGITAL EQUIPMENT CORP80
  8. 8APPLE INC80
  9. 9ADVANCED MICRO DEVICES INC75
  10. 10HUAWEI TECH CO LTD58
Source: Patsnap Eureka. Assignee ranking and totals. Derived from a Patsnap search on Intermediate Representation Design 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
The Numbers

Filing trend and technology mix

Two views of the same 6,021-record dataset: how filing volume moved year over year, and which IPC subclasses the underlying technology falls into.

Filing trend, 2017–2026

Filings rose from 275 in 2017 to a peak of 871 in 2022, then declined to 465 by 2024 — a 32% drop across 2021 to 2024. Years from 2025 onward are still filling in under an 18-month publication lag, so the apparent tail-off should not be read as the field slowing; the 2026 figure of 48 is a partial year.

Filing trend, 2017–202602505007501,000275201720182019202020218712022202320242025482026Most recent year is partial — publication lag means later filings are not yet visible.

Technology composition by IPC subclass

G06F (electric digital data processing) appears in 77.1% of the 6,021 records, confirming this is fundamentally compiler-and-runtime territory. G06T (21.2%) and G06N (16.2%) point to IR work increasingly built around image/graph pipelines and AI-model execution, while H05K, H04L, G06V, G09G and H04N each register single-digit shares, marking narrower application niches rather than core claim territory.

Technology composition by IPC subclassG06F · Electric digital data processi…4,64177.1%G06T · Image data processing & genera…1,27521.2%G06N · Computing based on AI models97616.2%H05K · Printed circuits & assemblies2564.3%H04L · Digital information transmissi…2404.0%G06V · Image/video recognition1442.4%G09G · Display control circuits881.5%H04N · Pictorial communication (video…861.4%Other70911.8%

Shares are the percentage of the 6,021 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 Intermediate Representation Design covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.

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Foundational Filing

A representative early claim

Representative Record · 1999
US5999735A1999-12-07

US5999735A — Method for constructing a static single assignment language accommodating complex symbolic memory references

INTEL CORPORATION

The invention describes creating a rank-n static single assignment intermediate language from a rank-(n-1) SSA intermediate language, where n is a positive integer, by searching the lower-rank language for a rank-1 definition that reaches at least one use, then renaming that definition and its use to a compiler temporary.Filed by Intel Corporation, granted 1999-12-07 — one of the earliest filings in this dataset to formalise multi-rank SSA construction for symbolic memory references.

US5999735A — patent drawing 1US5999735A — patent drawing 2
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Most-cited records in this landscape
#Publication no.Patent titleCitations
1US20090018996A1Cross-category view of a dataset using an analytic platform1,559
2US7089272B1Specializing write-barriers for objects in a garbage collected heap565
3US20080288889A1Data visualization application528
4US20080294996A1Customized retailer portal within an analytic platform517
5US6721941B1Collection of timing and coverage data through a debugging interface499
6US6760903B1Coordinated application monitoring in a distributed computing environment471
7US20050273772A1Method and apparatus of streaming data transformation using code generator and translator425
8US6785673B1Method for converting relational data into XML415
9US6507947B1Programmatic synthesis of processor element arrays406
10US6427234B1System and method for performing selective dynamic compilation using run-time information402

Citation counts reflect influence within the searched corpus and favour older filings; they are not a measure of current commercial relevance.

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 Intermediate Representation Design 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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Analysis

What the data means for filing strategy

Three patterns stand out once concentration, timing and classification are read together.

Concentration
66.2% of 6,021
held by top 5 assignees

The top of the field is dense

Five assignees hold 3,988 of the 6,021 records in scope. That density means core SSA-construction and pass-ordering claims are largely spoken for; new entrants need to look at adjacent implementation detail rather than the foundational mechanics.

Based on the full 100-company ranking returned by the dataset.
Momentum
-32%
2021 → 2024 filings

Volume peaked, then cooled from a high base

Filings peaked at 871 in 2022 before easing to 465 by 2024, a 32% decline over that span. Recent-year assignee momentum shows steep pullbacks across the largest filers, though this reads more like normalization after a filing surge than an exit from the field.

2025–2026 figures are still incomplete under typical publication lag.
Composition
16.2% G06N
of 6,021 records

AI-model computing is now a real share of IR work

Nearly a fifth of records (21.2%) fall under G06T image data processing and 16.2% under G06N AI-model computing — evidence that IR design has moved well beyond classic scalar-code compilers into graph-based accelerator pipelines.

Classes overlap; shares are measured against the 6,021-record total, not against each other.
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Looking for what nobody has claimed yet?

Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to intermediate representation design, with the prior art for and against each one.

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Cross-filing between organisations is rare
AssigneeCo-assigneeShared families
International Business Machines Corporation (IBM)IBM DEUTSCHLAND GMBH16
Intel CorpYAO ANBANG10
Intel CorpXU LIN9
Intel CorpWANG SHANDONG9
Intel CorpWANG LIBIN9
Intel CorpHU PING9
Intel CorpGUO YIWEN9
Intel CorpCHENG WENHUA9

Only 10 co-assignee pairs appear in the dataset, and the strongest pairings link a single corporate parent to its own subsidiary or named inventors rather than to independent third parties — collaboration across separate companies is not a meaningful feature of this landscape.

Source: Patsnap Eureka. Co-assignee relationships and derived observations. Derived from a Patsnap search on Intermediate Representation Design 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
Competitive Landscape

Who is filing, and where the openings are

The ranked leaders span classic CPU and systems vendors alongside newer AI-accelerator entrants, but recent-year momentum has cooled sharply even among the largest filers.

Leader
1,825 records
single largest assignee

One filer sits well ahead of the field

The leading assignee's 1,825 records dwarf the fifth-place total of 187, a gap wide enough that most competitive dynamics in this landscape are really about the distance between the top filer and everyone else.

Tenth place holds 58 records, underlining a long tail below the top group.
Momentum
-73% to -100%
YoY, latest year

Even active filers are pulling back

Recent-year momentum shows steep drops across the largest names, with several major assignees recording zero filings in the latest tracked year. Given publication lag, this likely overstates the slowdown, but it is a real shift from the 2021-2022 filing pace.

Read alongside the 18-month publication lag noted for the trend chart.
Geography
3,799 US filings
of tracked receiving offices

Filing activity is US-centred with a European tail

The United States receives the large majority of filings tracked here, with EPO, WIPO/PCT, UK and Germany forming a secondary tier. That distribution suggests the commercially decisive jurisdiction for freedom-to-operate work is the US, with EPO filings worth checking for parallel European coverage.

Receiving-office counts are not mutually exclusive with family counts.
🔍
Under-claimed sub-areas worth a closer look
Branches where filing density is visibly lower relative to the core SSA and pass-ordering territory.
debug-info preservation across lowering passesinvariant verification for graph-form IRpass-ordering heuristics for accelerator targetsdisplay-pipeline IR (G09G-adjacent)video/pictorial IR lowering (H04N-adjacent)
Rank all filers by momentum →
Recent-year filing momentum by assignee
AssigneeRecent yearYoY
NVIDIA Corp35-73%
SambaNova Systems Inc4-83%
Intel Corp2-98%
International Business Machines Corporation (IBM)0-100%
Microsoft Corp0—
Microsoft Technology Licensing LLC0—
Oracle International Corp0-100%
Digital Equipment Corp0—
Source: Patsnap Eureka. Assignee-level momentum. Derived from a Patsnap search on Intermediate Representation Design 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
Next Steps

Where to take this analysis

The concentration and composition patterns here raise questions that benefit from claim-level and citation-level follow-up.

Map claim scope inside the top five

With 66.2% of records held by five assignees, the practical question is which specific claim elements they actually hold versus what remains open around SSA construction, pass ordering and debug-info preservation.

Explore assignee claim maps

Track the AI-accelerator IR shift

The 16.2% G06N and 21.2% G06T shares suggest IR design work is migrating toward graph-based accelerator pipelines; a focused search on that intersection would sharpen where new filings are landing.

Run a focused technology search
Source: Patsnap Eureka. Forward-looking reading of the same dataset. Derived from a Patsnap search on Intermediate Representation Design 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 IR design patents

Answers are grounded in the same dataset. Derived from a Patsnap search on Intermediate Representation Design 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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