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Autonomous Driving Patent Landscape 2026

Autonomous Driving Patent Landscape 2026
Competitive Landscape

Autonomous Driving Patent Landscape in 2026

Autonomous driving IP is a moderately concentrated field dominated by established automakers and dedicated AV platforms, with Toyota Motor Corporation holding the largest position among the hundred largest filers. Annual filing volume peaked in 2020 and has since eased, reflecting both market consolidation and normal publication lag in the most recent periods.

18,171
Patent families in scope
28%
Top-5 share of top-100 filers
-23%
3-yr filing growth (lag-adj.)
United States
Leading jurisdiction
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Published byPatSnap Insights Team··7 min readVerified by PatSnap Eureka data
Overview

Toyota leads a moderately concentrated field; the top five share roughly a quarter of the hundred largest filers’ combined output

Toyota Motor Corporation holds the leading position among all ranked applicants, followed closely by Waymo LLC, Hyundai Motor Company, Ford Global Technologies, and Honda Motor Company — five incumbents that together account for roughly 28% of the top hundred filers’ combined patent records.

The tier gap between the leader and the rest is meaningful: Toyota Motor Corporation’s record count is nearly double that of Waymo LLC in second place, and roughly 2.4 times that of Ford Global Technologies in fourth. Below the top five, the ranking declines more gradually through General Motors, Robert Bosch, Zoox, Nissan, and LG Electronics, indicating a competitive second tier rather than a long tail of isolated contributors.

Leading applicants
#ApplicantPatent recordsShare
1Toyota Motor Corporation7,251
2Waymo LLC3,705
3Hyundai Motor Company3,664
4Ford Global Technologies LLC3,100
5Honda Motor Co Ltd3,043
6GM Global Technology Operations LLC2,538
7Robert Bosch GmbH2,040
8Zoox Inc1,990
9Nissan Motor Co Ltd1,976
10LG Electronics Inc1,856
#ApplicantPatent recordsShare
11Baidu USA LLC1,592
12Motional AD LLC1,536
13Aurora Operations Inc1,523
14Denso Corporation1,441
15Mobileye Vision Technologies Ltd1,302
16NVIDIA Corporation1,247
17GM Cruise Holdings LLC1,180
18Qualcomm Inc1,148
19Yinwang Intelligent Technologies Co Ltd987
20Samsung Electronics Co Ltd987
↗ Hover a row · click a company to ask Eureka

The breadth of entity types at the top — legacy OEMs, robotaxi-focused pure-plays, Tier-1 suppliers, and technology platform companies — signals that autonomous driving IP remains contested across multiple industry segments rather than consolidating around a single dominant archetype.

Figures for 2024 and especially 2025–2026 should be read as provisional; patents typically publish 12–18 months after filing, so recent-period counts understate true 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.Explore deeper in Eureka →
Trends & Structure

Filing volume peaked in 2020 and has eased; vehicle control and navigation dominate the technology mix

The annual trend chart captures the arc of industry filing intensity from 2017 through the present, while the technology composition chart reveals which IPC branches underpin the corpus and which remain comparatively sparse.

Annual filing trend

Annual filings grew steadily from 2017 through 2020, reaching a peak, then moderated through 2022 before easing further. The sharp apparent drops in 2024–2026 largely reflect publication lag and should not be read as a continuation of decline; the true recent-period filing rate is higher than the visible counts suggest.

Annual filing trendAnnual values from 2017 to 2026, peaking at 2,735 in 2020.1,99220172,20820182,47520192,73520202,36920212,45420222,15020231,24420245012025432026↗ Hover for values · click a bar to ask Eureka

Technology composition

B60W (hybrid and joint vehicle control) and G05D (control of non-electric variables) together dominate the corpus, reflecting the core vehicle-motion and decision-making layer of autonomous driving. Navigation and positioning (G01C), traffic control systems (G08G), and image/video recognition (G06V) form a substantial secondary cluster, while AI model computing (G06N), digital data processing (G06F), and radar/positioning (G01S) represent meaningful but smaller shares. Branches such as aerial vehicles (B64C, B64U), agricultural automation (A01B, A01D), and rail traffic control (B61L) are sparsely represented, indicating that cross-domain spillover remains limited.

Technology compositionB60W · Hybrid/joint vehicle control leads with 13,372; G05D · Control of non-electric variables 11,172.B60W · Hybrid/joint vehi…13,372G05D · Control of non-el…11,172G01C · Distance, navigat…3,431G08G · Traffic control s…3,209G06V · Image/video recog…2,807G06N · Computing based o…2,014G06F · Electric digital …1,976G06K · Data recognition …1,773↗ 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
US20230082897A1Published 2023-03-16

System for guiding an autonomous vehicle by a towi…

Gm Global Technology Operations LLC

An autonomous driving system for an autonomous vehicle includes an automated driving controller wirelessly connected to a towing taxi. The automated driving controller determines the autonomous driving system is non-functional. In response to determining the autonomous driving system is non-functional, the automated driving controller generates a… (excerpt from the patent abstract)

System for guiding an autonomous vehicle by a towi… — patent drawingSystem for guiding an autonomous vehicle by a towi… — patent drawing
Representative drawings from the patent document.
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Highly cited patent families surfaced by this query
#PatentCitations
1Autonomous vehicle arrangement and method for cont…1,062
2Systems and methods for safe and reliable autonomo…1,019
3Using Autonomous Vehicles in a Taxi Service901
4Coordination of dispatching and maintaining fleet …671
5Navigational control system for an autonomous vehi…660
6Autonomous vehicle system647
7System And Method To Operate An Automated Vehicle626
8A Method and Apparatus for Collecting and Using Se…595

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 decisions

Four structural observations — maturity, concentration, ecosystem collaboration, and geographic footprint — together define the risk and opportunity profile for new entrants and incumbents alike.

Decline

Post-peak consolidation phase

Annual filings are easing back from the 2020 peak, placing the field in a consolidation stage. This does not mean the technology is stagnant; rather, the rapid land-grab phase of the mid-to-late 2010s has given way to more selective, higher-quality filings as companies concentrate on commercially viable systems. Entrants face a dense prior-art landscape in core vehicle-control and navigation branches.

Lifecycle: Post-peak
Concentration

Moderate concentration with a strong leader gap

The top five filers account for 28% of the hundred largest filers’ combined patent records, indicating moderate rather than extreme concentration. However, Toyota Motor Corporation’s record count is roughly double that of second-ranked Waymo LLC, creating a meaningful leader gap. The competitive second tier — General Motors, Robert Bosch, Zoox, Nissan — narrows this gap only gradually, leaving room for focused challengers in specific technology sub-domains.

Concentration: Moderate
Collaboration

OEM-affiliate and corporate-family co-filing dominate collaboration signals

The most active co-filing pair is Hyundai Motor Company and Kia Corporation, with 745 joint records, reflecting deep intra-group integration. Baidu USA and Baidu Times Technology (Beijing) follow with 218 joint records, showing cross-entity coordination within the Baidu autonomous driving program. Hyundai Motor also co-files with Hyundai AutoEver (25 records) and with Asia University (18 records), while GM Global Technology Operations co-files with Carnegie Mellon University (11 records), indicating selective academic linkages. UATC LLC co-files with Volvo Car Corporation (11 records), a notable cross-industry pairing.

Collaboration: OEM-affiliate dominant
Geography

US-centric filing with limited secondary coverage

The United States is the primary filing jurisdiction by a wide margin, followed by the European Patent Office and WIPO PCT filings, with the United Kingdom, Canada, and Australia forming a smaller third tier. Singapore and South Africa appear but with very limited coverage. This concentration in US filings suggests that non-US protection strategies — particularly in Europe and Asia — may be underweighted relative to market significance, offering potential freedom-to-operate opportunities in those regions.

Geography: US-dominant
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Top collaboration links
ApplicantCollaboratorCo-filings
Hyundai Motor CompanyKia Corporation745
Baidu USA LLCBaidu Times Technology (Beijing) Co Ltd218
Hyundai Motor CompanyHyundai AutoEver Corporation25
Kia CorporationHyundai AutoEver Corporation25
Hyundai Motor CompanyAsia University18
Kia CorporationAsia University18
Toyota Motor CorporationAdvics Co Ltd12
GM Global Technology Operations LLCCarnegie Mellon University11
UATC LLCVolvo Car Corporation11
Hyundai Motor CompanyStryker Corporation10

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

Source: PatSnap Eureka. Cards are grounded in applicant ranking, collaboration pairs, lifecycle stage, and jurisdiction distribution from the scoped corpus.Explore insights →
Leaders

Toyota and Waymo lead on volume; Hyundai and Kia show the strongest recent momentum

The top applicants diverge in both technology emphasis and recent filing trajectory, signaling different strategic priorities as the field matures.

Leader · Toyota Motor Corporation

Toyota Motor Corporation

Toyota holds the largest position in the ranked corpus with 7,251 patent records. Its technology emphasis spans G05D 1 (control of non-electric variables), B60W 60, and B60W 50 (hybrid and joint vehicle control), reflecting broad coverage of the autonomous decision-making and motion-planning stack. Recent filing momentum is positive at +16% versus the prior three-year period, distinguishing Toyota from several pure-play AV companies that are reducing output.

patent records: 7,251
Challenger · Hyundai Motor Company

Hyundai Motor Company

Hyundai Motor Company ranks third overall with 3,664 patent records and shows the strongest recent growth trajectory among major filers at +30% versus the prior period — matched by co-group filer Kia Corporation at the same rate. Hyundai’s technology focus centers on B60W 60, B60W 50, and B60W 30 (vehicle control sub-classes), closely aligned with Toyota’s dominant branches, indicating direct competitive overlap. The deep co-filing relationship with Kia Corporation effectively amplifies the group’s combined IP footprint.

patent records: 3,664
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Access ranked profiles, momentum scores, and technology-route matrices for all top-100 filers in autonomous driving.
Waymo LLCRobert Bosch GmbH+ more
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Leading-applicant momentum (recent 3 yrs, lag-adjusted)
ApplicantRecent (3 yrs)Trend
Waymo LLC447▼ -27%
Toyota Motor Corporation429▲ +16%
Baidu USA LLC28▼ -92%
Hyundai Motor Company366▲ +30%
GM Global Technology Operations LLC177▼ -18%
Uber Technologies Inc36▼ -68%
GM Cruise Holdings LLC279▬ -5%
Source: PatSnap Eureka. Trajectory figures are from recent-period versus prior-period filing comparisons; technology emphasis reflects top IPC sub-class concentrations per applicant.Explore players →
Adjacent Branches

Under-served branches adjacent to the dominant vehicle-control core

Several IPC branches sit at the periphery of the autonomous driving corpus with low patent-record counts relative to the domain’s scale. These represent observations of relative sparsity; where plausible technical value and a realistic entry path exist, they are noted as warranting closer investigation.

G06N · AI model computing for AV decision-making

G06N (computing based on AI models) accounts for a comparatively modest share of the corpus despite AI being central to autonomous driving perception and planning. Given that B60W and G05D dominate filings at the system-integration level, there appears to be under-patenting of the underlying AI model architectures themselves — particularly for real-time inference, uncertainty estimation, and reinforcement learning in driving contexts. Companies with AI research depth and existing AV hardware partnerships have a plausible entry path by filing at the model-architecture layer rather than the vehicle-system layer.

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G08G · Traffic control systems and V2X coordination

G08G (traffic control systems) holds a meaningful but comparatively lower share than the vehicle-onboard control branches, suggesting that infrastructure-side and vehicle-to-everything (V2X) coordination patents are less densely filed than purely vehicle-centric approaches. As connected infrastructure deployments expand, patents covering cooperative perception, traffic-signal interaction, and fleet-level coordination in G08G may become strategically valuable. Tier-1 suppliers and telecom infrastructure players are well-positioned to enter this space given existing network and roadside-unit expertise.

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Unlock the full white-space map
Access the complete branch-level sparsity analysis and freedom-to-operate signals across all IPC classes in the autonomous driving corpus.
G01S · Radar, sonar & positioningH04W · Wireless communication networks+ more
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Source: PatSnap Eureka. Branch counts are patent-record-level observations; sparsity relative to corpus size does not by itself confirm commercial opportunity.Explore emerging →
Route Matrix

How leading applicants differ by technology route emphasis

Strength of each leader across the main technology routes.

PlayerG05D 1 · Control of non-electric variablesB60W 60 · Hybrid/joint vehicle controlB60W 30 · Hybrid/joint vehicle controlB60W 50 · Hybrid/joint vehicle controlB60W 40 · Hybrid/joint vehicle control
Waymo LLCStrong · 833Strong · 632Strong · 440Moderate · 351Moderate · 314
Toyota Motor CorporationStrong · 557Strong · 493Strong · 360Strong · 466Moderate · 136
Hyundai Motor CompanyModerate · 234Strong · 527Strong · 310Strong · 326Moderate · 166
Baidu USA LLCStrong · 622AbsentModerate · 305Moderate · 170Emerging · 118
GM Global Technology Operations LLCStrong · 470Moderate · 187Moderate · 193Moderate · 187Moderate · 114
Uber Technologies IncStrong · 506AbsentModerate · 134Moderate · 153Absent
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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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.

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