Overall rank by patents
#2,274
Across all tracked assignees
USPTO PatentsView assignee record — 172 granted patents across 29 technology areas, active 2021–2025. Filing-trend and competitive-moat analysis cross-referenced to USPTO Patent Public Search. Primary class: G01S (RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRA).
The verdict
Aeva holds 172 US patents across 29 technology areas — rank #2,274 of 50,000 tracked assignees.
Aeva, Inc. has been granted 172 US utility patents between 2021 and 2025, placing Aeva, Inc. at rank #2,274 across all assignees tracked by PlainPatent. This portfolio spans 29 distinct Cooperative Patent Classification (CPC) subclasses, averaging 18.1 claims per patent with primary concentration in G01S (RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRA). As a US Corporation, Aeva, Inc. is one of the more focused assignees in the PatentsView dataset. The composite Innovation Score of 67.7/100 blends portfolio volume, filing velocity, technology breadth, and claim depth into a single comparable measure drawn directly from USPTO PatentsView records.
Filing cadence tells the strategic story. Historical data spans 2021 through 2025, with 172 total grants over that period. Velocity comparisons require five years of historical filings to calibrate. The US Corporation classification further shapes interpretation, since corporate, government, and individual filers pursue patents for materially different reasons.
Claim depth and technology breadth together indicate competitive posture. Aeva, Inc.'s 18.1 average claims per patent sits within the typical range for solid legal coverage without excessive prosecution cost, while a multi-domain presence across 29 subclasses balances depth with breadth. Combined with portfolio volume, these signals let analysts, investors, and licensing professionals benchmark Aeva, Inc. against peers pursuing similar technology classes.
Granted US patents 2015–2025 versus the largest corporate holders — this company marked ◀
SAMSUNG ELECTRONICS CO., LTD.
106,890 patents
International Business Machines Corporation
72,926 patents
Canon Kabushiki Kaisha
34,378 patents
LG ELECTRONICS INC.
32,607 patents
TAIWAN SEMICONDUCTOR MANUFACTURING COMPANY LTD.
31,041 patents
Apple Inc.
30,560 patents
QUALCOMM Incorporated
30,354 patents
Intel Corporation
27,498 patents
Aeva, Inc.
172 patents
What this shows Aeva holds 172 patents — placing it at rank #2,274 overall, well behind the volume leaders but ahead of the tens of thousands of smaller assignees in the dataset.
Aeva's Innovation Score vs. every tracked assignee
Composite of portfolio volume, filing velocity, technology breadth, and claim depth (0–100)
68 Top 1% higher than 99% of 50,000 US assignees
Each bar is a band; taller bars hold more US assignees. The dashed line + filled bar mark this entry. Hover or tap any bar for its full count, share, and where it sits relative to this entry.
Source USPTO PatentsView — PlainPatent Innovation Score · 2015–2025
Teal-shaded recent years (2020–present) versus the 2021–2019 baseline. Full figures in the table below.
| Year | Patents Granted | Share of Period |
|---|---|---|
| 2021 | 20 | 11.6% |
| 2022 | 46 | 26.7% |
| 2023 | 37 | 21.5% |
| 2024 | 45 | 26.2% |
| 2025 | 24 | 14.0% |
Top 15 of 29 technology areas
Overall rank by patents
#2,274
Across all tracked assignees
67.7 out of 100
Aeva, Inc.'s primary CPC class — all holders and yearly trends
See where Aeva, Inc. ranks among the largest US patent assignees
Browse every CPC technology area by patent activity
The four dimensions behind the Innovation Score
Disclaimer: This information is provided for informational purposes only and does not constitute professional advice. Data is sourced from the USPTO PatentsView database. Consult a qualified professional before making decisions based on this data.
Read our methodology — how this data is sourced, computed, and verified.