Automotive Lidar Patent Landscape 2026
Automotive Lidar Patent Landscape in 2026
Automotive lidar patenting is highly concentrated at the top, with Waymo and Aurora Operations together holding near-parity leadership across 1,221 patent families globally. The field peaked in 2021 and annual volume has since eased, though both frontrunners continue to post modest filing growth while most challengers have pulled back sharply.
Waymo and Aurora define a narrow, dominant tier
Waymo LLC and Aurora Operations Inc sit at the top of the next-ranked filer, NIO Tech Anhui, trails at 109 patent families, and the drop-off to the fourth-ranked applicant is steeper still.
The top five filers account for 49 percent of the combined output of the hundred largest filers, confirming a two-tier structure: a tight duopoly at the apex, a mid-tier of specialist lidar and autonomy companies in the 20–60 family range, and a long tail of OEMs, chipmakers, and component suppliers each contributing fewer than 30 families.
| # | Applicant | Patent families | Share |
|---|---|---|---|
| 1 | Waymo LLC | 189 | |
| 2 | Aurora Operations Inc | 188 | |
| 3 | NIO Tech Anhui Co Ltd | 109 | |
| 4 | Perceptive Automata Inc | 60 | |
| 5 | OPSys Tech Ltd | 39 | |
| 6 | Ford Global Technologies LLC | 30 | |
| 7 | Ouster Inc | 26 | |
| 8 | NVIDIA Corporation | 25 | |
| 9 | Pronto AI Inc | 25 | |
| 10 | VayaVision Sensing Ltd | 24 |
| # | Applicant | Patent families | Share |
|---|---|---|---|
| 11 | Amazon Technologies Inc | 23 | |
| 12 | Plus.ai Inc | 22 | |
| 13 | Aeva Inc | 20 | |
| 14 | Zoox Inc | 19 | |
| 15 | Hiab AB (Cargotec Sweden AB) | 17 | |
| 16 | Qualcomm Inc | 14 | |
| 17 | CreateAI Inc | 14 | |
| 18 | GM Cruise Holdings LLC | 13 | |
| 19 | Caterpillar Inc | 12 | |
| 20 | Extend Robotics Ltd | 11 |
The near-identical portfolios of Waymo and Aurora imply overlapping claim territory across autonomy stack IP; entrants and challengers should map freedom-to-operate carefully before investing in the core vehicle-control and sensor-fusion classes that these two leaders dominate.
Filing counts for 2024 and 2025 are subject to publication lag and should be treated as provisional minimums rather than evidence of further decline. Longer-window growth, applicant concentration, and technology-route coverage are therefore more reliable signals than the latest-year bar alone.
A 2021 peak, a broad technology stack, and a hardware underbelly
The annual filing trend shows how quickly the autonomous-vehicle investment wave translated into patent activity, while the technology composition chart reveals where the IP is concentrated and where coverage thins out toward the hardware layer.
Annual filing trend
Filings accelerated from 45 families in 2017 to a 2021 peak of 231, then eased. The 2022–2023 window held close to the peak level, but 2024 and 2025 counts reflect publication lag and should not be read as confirmed contraction. The sustained multi-year volume from 2020 onward shows that the field remains materially active even as the single-year peak has passed.
↗ Hover for values · click a bar to ask EurekaTechnology composition
The three dominant IPC classes — hybrid/joint vehicle control (B60W), control of non-electric variables (G05D), and radar/sonar/positioning (G01S) — account for the bulk of the corpus, reflecting a stack oriented toward autonomy software and sensor fusion rather than lidar hardware per se. Optical elements (G02B), laser devices (H01S), and semiconductor devices (H01L and H10F) carry materially lower counts, pointing to relative sparsity in the physical-hardware and photonics layers.
↗ Hover for values · click a bar to ask EurekaHighly 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.
Solid-state lidar transmitter with laser control
A solid state LIDAR transmitter with matrix-addressable laser drive circuit includes a first electrical bus that provides a first voltage potential to columns of the matrix-addressable laser drive circuit and a second electrical bus that provide a second voltage potential to rows of the matrix-addressable laser drive circuit. A plurality of column switches… (excerpt from the patent abstract)
| # | Patent | Citations |
|---|---|---|
| 1 | Systems and methods for safe and reliable autonomo… | 1,021 |
| 2 | Control of automated following in vehicle convoys | 200 |
| 3 | Multi-network-based path generation for vehicle pa… | 181 |
| 4 | Method and system for multiple sensor correlation … | 180 |
| 5 | Feedback Performance Control and Tracking | 157 |
| 6 | Method and apparatus for vehicle maneuver planning… | 147 |
| 7 | Control of Autonomous Vehicle Based on Environment… | 133 |
| 8 | Vehicle autonomous collision prediction and escapi… | 129 |
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.
What the portfolio structure means for R&D decisions
Four structural signals — lifecycle stage, concentration, collaboration patterns, and geographic spread — each carry distinct implications for where new investment is likely to be productive.
Post-peak but still commercially active
The lifecycle evidence indicates that annual filings have eased back from the 2021 peak, placing the field in a declining phase on a single-year basis. That said, the multi-year accumulated corpus is substantial, and the two leading filers are still growing their portfolios. New entrants face a maturing claim landscape in core autonomy-stack classes and should focus on differentiated sub-domains rather than broad coverage plays.
Post-peakDuopoly at the top, fragmented mid-tier
Waymo and Aurora together represent close to a third of the top-hundred filers’ combined output. Below them, roughly a dozen companies — including NIO Tech Anhui, Perceptive Automata, OPSys Tech, Ford, and Ouster — occupy a diffuse middle tier. This structure means that licensing negotiations and freedom-to-operate analyses will be dominated by two parties, while the mid-tier remains potentially acquirable or licensable at lower friction.
High concentrationNo co-filing activity detected in this corpus
Evidence for formal co-applicant relationships is pending — the collaboration data returned no recorded co-filing pairs within this corpus. The field appears to be prosecuted through proprietary portfolios rather than joint-development agreements, which is consistent with the competitive dynamics of the autonomous-vehicle sector where IP is a primary competitive moat.
Solo filersUS-centric with limited Asian and European reach
The United States is the primary filing jurisdiction by a wide margin, followed by Europe via EPO, WIPO PCT filings, and China. Germany, Canada, India, and South Korea each have meaningful but much smaller footprints. Israel appears in the top ten jurisdictions, reflecting the presence of Israeli-founded lidar and autonomy startups such as OPSys Tech and VayaVision among the leading filers. Coverage in Japan and the UK is thin relative to those markets’ automotive significance.
US-dominantGo beyond the landscape: Eureka’s TRIZ Solution agent breaks down an R&D problem and returns patented concept solutions, each with a technical approach and cited patent & literature evidence.
Co-filing pairs, ranked by the number of jointly-filed patent families.
Waymo anchors the autonomy stack; Aurora leans into sensor and control
The two leading filers are separated by a single patent family but differ in their technology emphasis: Waymo’s portfolio is weighted toward vehicle-behavior control, while Aurora’s is skewed toward sensor-signal processing and lidar-specific positioning. Both are on a modestly rising trajectory in recent filings.
Waymo LLC
Waymo holds 189 patent families, the largest in the corpus, with a recent filing trend of +13% versus the prior period. Its technology focus sits primarily in hybrid/joint vehicle control (B60W60: 126 filings), lidar-based positioning (G01S17: 48), and image/video recognition (G06V20: 45) — a profile that reflects full-stack autonomy system integration rather than sensor hardware alone. The stable, growing trajectory suggests continued platform consolidation.
families: 189Aurora Operations Inc
Aurora Operations holds 188 patent families and shows a +16% recent filing trend, the strongest growth rate among the top two. Its emphasis on radar/sonar and positioning (G01S7: 96 and G01S17: 95) and autonomous vehicle control (G05D1: 70) indicates a sensor-and-perception-first strategy that complements rather than mirrors Waymo’s behavior-control orientation. Aurora’s active filing momentum at near-parity scale makes it the most direct competitive counterpart to Waymo.
families: 188| Applicant | Recent (3 yrs) | Trend |
|---|---|---|
| Waymo LLC | 86 | ▲ +13% |
| Aurora Operations Inc | 66 | ▲ +16% |
| NIO USA Inc | 2 | ▼ -93% |
| Perceptive Automata Inc | 7 | ▼ -85% |
| Aurora Innovation Inc | 2 | ▼ -94% |
| OPSys Tech Ltd | 7 | ▼ -59% |
| Ouster Inc | 8 | ▲ new entrant |
Under-served routes in AI perception and traffic-system integration
Several IPC branches appear at notably lower relative share within a corpus otherwise dominated by vehicle-control and sensor-fusion classes. Two of these carry plausible technical value and a realistic entry path for teams with the right capabilities.
G06N · AI model computing for lidar perception
G06N covers computing based on AI models and accounts for a comparatively modest share of the corpus relative to the broader vehicle-control classes. Given that lidar point-cloud interpretation is increasingly dependent on learned models — particularly for adverse-weather robustness and edge-case detection — this branch represents an under-served area where IP coverage has not kept pace with the technical importance of the sub-domain. Teams with deep-learning inference expertise applied to sparse 3D data have a credible entry path here.
Search this in Eureka →H01S · Laser and stimulated-emission devices
H01S, which covers lasers and stimulated emission, carries only 39 patent records in this corpus — a markedly thin layer for a technology whose core sensing mechanism is a laser. This sparsity suggests that hardware-level lidar source innovation (solid-state VCSEL arrays, FMCW laser architectures, photonic integrated circuits) is either filed under different classification hierarchies or is genuinely under-patented relative to the software stack built on top of it. Photonics and laser-device teams targeting automotive wavelengths and solid-state beam steering have observable white space here.
Search this in Eureka →How leaders diverge across sensor, control, and perception routes
Strength of each leader across the main technology routes.
| Player | G05D 1 · Control of non-electric variables | G01S 17 · Radar, sonar & positioning | G01S 7 · Radar, sonar & positioning | B60W 60 · Hybrid/joint vehicle control | B60W 30 · Hybrid/joint vehicle control |
|---|---|---|---|---|---|
| Aurora Operations Inc | Strong · 70 | Strong · 95 | Strong · 96 | Strong · 63 | Emerging · 11 |
| Waymo LLC | Moderate · 44 | Moderate · 48 | Moderate · 29 | Strong · 126 | Moderate · 44 |
| OPSys Tech Ltd | Strong · 39 | Strong · 39 | Strong · 35 | Absent | Absent |
| NIO USA Inc | Strong · 50 | Moderate · 18 | Moderate · 13 | Absent | Moderate · 21 |
| Perceptive Automata Inc | Strong · 39 | Absent | Absent | Strong · 33 | Strong · 28 |
| Aurora Innovation Inc | Strong · 29 | Strong · 38 | Moderate · 18 | Moderate · 8 | Absent |
| Ouster Inc | Absent | Strong · 26 | Strong · 25 | Absent | Absent |
Frequently asked questions
The corpus contains 1,221 patent families. This total covers global filings across the jurisdictions and time window reflected in the evidence.
Waymo LLC leads with 189 patent families and Aurora Operations Inc follows with 188 — a gap of just one family. Both are on a modestly growing recent trajectory, with Waymo at +13% and Aurora at +16% versus their respective prior periods.
Annual filing volume peaked in 2021 at 231 families and has eased since then, consistent with a post-peak lifecycle stage. The 2024 and 2025 figures are subject to publication lag and represent provisional minimums, not confirmed continued decline. On a multi-year accumulated basis the corpus remains substantial.
The United States is the dominant jurisdiction, followed by Europe via the EPO, WIPO PCT filings, and China. Germany, Canada, India, and South Korea each have smaller but meaningful footprints. Israel appears in the top ten, reflecting the presence of Israeli-founded lidar and perception startups among the leading filers.
The three largest IPC branches are B60W (hybrid/joint vehicle control), G05D (control of non-electric variables), and G01S (radar, sonar, and positioning). This distribution shows that IP is concentrated in the autonomy software and sensor-fusion layers rather than in the physical lidar hardware.
Two branches stand out for relative sparsity combined with technical relevance: G06N (AI model computing), which is under-represented given the importance of learned models for point-cloud perception, and H01S (lasers and stimulated emission), which has only 39 patent records despite laser-source innovation being central to next-generation solid-state lidar architectures.
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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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