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USPTO Open Data · Calendar Years 2020-2024 A deeper reading

01 Five years.
324,040 patents.
Twenty companies.


324,040
Grants in 2024
351,997
Grants in 2020
-8%
5-year change
20
Assignees ranked
Total U.S. utility-patent grants · per year Column · zero-based · USPTO ODP

The backdrop the twenty ranked companies sit inside: total grants fell from 351,997 in 2020 to 312,067 in 2023, then edged back to 324,040 - a net decline of 8% over five years. Counted from the USPTO Open Data Portal PatentsView bulk grant tables.

02

Trajectories

Top 20 assignees · 2020-2024 grants
slope graph · shared linear scale

Each line is one company's annual U.S. utility-patent grants over five years. The two endpoint columns - 2020 and 2024 - sit on the same vertical scale, so changes in slope are real changes in volume. IBM dropped from a three-decade #1 streak to seventh place - down 73% over the window; TSMC climbed more than 40%. The level lines in the middle are the big steady filers - Samsung, LG.

0 2,389 4,778 7,166 9,555 20202021202220232024 IBM TSMC Huawei Hyundai Motor Samsung Electronics 9,555 TSMC 3,985 Qualcomm 3,422 Huawei 3,045 LG Electronics 2,768 IBM 2,461 Hyundai Motor 1,282
Trajectory · circles mark each year Notable mover (IBM, TSMC, Huawei, Hyundai) Endpoints label the highlighted movers and the largest steady filers; all 20 are named in Small Multiples below. On narrow screens the endpoint names are dropped here for legibility - read them in the Small Multiples grid.
03

Small Multiples

Each company's five-year arc, on its own scale
20 plots · y-axis local

The slope graph above shares one vertical scale, so the small lines flatten under the big ones. These twenty plots give every company its own y-axis - same x-axis (2020-2024), independently scaled - so the shape of each trajectory is visible. The five-year change at the top right is unscaled. Read across; patterns surface fast.

01 Samsung Electronics +6%
9.0k 9.6k
KR · Electricity
02 TSMC +41%
2.8k 4.0k
TW · Electricity
03 Qualcomm +50%
2.3k 3.4k
US · Electricity
04 Apple +11%
2.8k 3.1k
US · Electricity
05 Huawei +10%
2.8k 3.0k
CN · Electricity
06 LG Electronics -2%
2.8k 2.8k
KR · Electricity
07 IBM -73%
9.1k 2.5k
US · Physics & Computing
08 Canon -28%
3.2k 2.3k
JP · Physics & Computing
09 Google +13%
1.8k 2.1k
US · Physics & Computing
10 Intel -33%
2.9k 1.9k
US · Electricity
11 BOE Technology -13%
2.1k 1.9k
CN · Physics & Computing
12 Micron Technology +17%
1.5k 1.8k
US · Physics & Computing
13 Toyota -14%
2.1k 1.8k
JP · Transport & Ops
14 Microsoft -41%
2.9k 1.7k
US · Physics & Computing
15 Ericsson +12%
1.4k 1.5k
SE · Electricity
16 Dell Technologies +79%
849 1.5k
US · Physics & Computing
17 Amazon -36%
2.2k 1.4k
US · Physics & Computing
18 Sony Group -36%
2.2k 1.4k
JP · Electricity
19 Mitsubishi Electric -7%
1.4k 1.3k
JP · Electricity
20 Hyundai Motor -12%
1.5k 1.3k
KR · Transport & Ops
04

Sector Composition

CPC main classes · share of 2024 grants
ranked list · coxcomb
10%20%30% GHABCFED 8 CPC sections
Coxcomb · wedge area ∝ section share (radius ∝ √share). The ranked list carries the exact figures.
05

Geography

Selected metros · 2024 grants
dot plot · linear scale

Patent counts by inventor address (not assignee HQ). Each dot represents one metro; size is patent count, position is rank. Read horizontally for the absolute concentration in San Jose-Sunnyvale-Santa Clara, then read down for the long-tail metros where invention quietly accumulates - Minneapolis, Raleigh, Phoenix, Detroit. The Texas triangle is the underrated growth story. These are 18 selected invention hubs ranked by their real 2024 counts, not the automatic national top 18 - a few metros with more grants (notably Washington, Denver and Miami) sit off this curated list.

01 CA San Jose - Sunnyvale - Santa Clara Apple, Google, Nvidia, Intel 14,249 4.4%
02 CA San Francisco - Oakland - Hayward Salesforce, Stripe, Lyft, Cruise 11,397 3.5%
03 MA Boston - Cambridge - Newton MIT, Moderna, Akamai 6,618 2.0%
04 NY New York - Newark - Jersey City IBM, Pfizer, Bloomberg 6,589 2.0%
05 CA Los Angeles - Long Beach - Anaheim Disney, SpaceX, Northrop 6,588 2.0%
06 CA San Diego - Chula Vista - Carlsbad Qualcomm, Illumina, ViaSat 5,924 1.8%
07 WA Seattle - Tacoma - Bellevue Microsoft, Amazon, Boeing 5,076 1.6%
08 TX Dallas - Fort Worth - Arlington Texas Instruments, AT&T 3,516 1.1%
09 IL Chicago - Naperville - Elgin Abbott, Boeing HQ, Motorola 3,326 1.0%
10 TX Houston - Pasadena - The Woodlands ExxonMobil, Halliburton 2,872 0.9%
11 MN Minneapolis - St. Paul - Bloomington 3M, Medtronic, Cargill 2,865 0.9%
12 TX Austin - Round Rock - Georgetown Tesla, AMD, Dell, IBM 2,688 0.8%
13 MI Detroit - Warren - Dearborn Ford, GM, Stellantis 2,667 0.8%
14 PA Philadelphia - Camden - Wilmington Comcast, Merck, DuPont 2,417 0.7%
15 OR Portland - Vancouver - Hillsboro Intel Hillsboro, Nike 2,360 0.7%
16 AZ Phoenix - Mesa - Chandler Intel Chandler, Honeywell 2,001 0.6%
17 GA Atlanta - Sandy Springs - Roswell Coca-Cola, Delta, NCR 1,967 0.6%
18 NC Raleigh - Cary IBM RTP, Cisco, GSK 1,217 0.4%
06

Side by Side

Samsung Electronics vs IBM
exact mix · trajectory · centerline Δ

Two assignees, the same numbers in parallel. The exact portfolio mix below compares their share across the eight CPC sections, with the difference in percentage points down the centerline; the trajectory overlay isolates their five-year divergence from the slope graph above. Want a different pair? The compare page lets you pick any two.

AKR

Samsung Electronics

9,555grants in 2024
+1.4%YoY
+6.4%5-year
20202021202220232024
Samsung ElectronicsIBMShared vertical scale · grants per year
BUS

IBM

2,461grants in 2024
-32.7%YoY
-73.0%5-year
Exact portfolio mix · share of each firm's grants by CPC section
CPC SectionSamsung ElectronicsΔ ppIBM
H51%+2427%
G40%-2868%
A2%02%
B2%02%
C3%+3-
F1%+1-

Compare any two assignees →

07

Methodology

Notes on the data
Real · PatentsView

This page reads U.S. utility-patent grants for 2020-2024. The source is the USPTO Open Data Portal - PatentsView Granted Patent Disambiguated Data (product PVGPATDIS), whose bulk tables cover 1976 to the present. All counts are granted, non-withdrawn utility patents; a patent's year is its grant year.

Data status

Every figure on this page is real, computed directly from the PatentsView bulk tables by scripts/build-data.ts: it streams g_patent.tsv, g_assignee_disambiguated.tsv, g_cpc_current.tsv, and the disambiguated inventor + location tables through DuckDB and writes src/data/derived.json. Grant counts, per-year trajectories, shares, CPC-section leans and each firm's portfolio mix are all measured from the raw grants. Only a small set of labels stays curated - assignee family display names (a disambiguated cluster is shown under its recognizable name), geography anchor employers, the sector-table titles and examples, and the compare-chip short names.

Trajectories (slope graph)

The slope graph shares one vertical scale across all 20 lines. Four series are highlighted in red: IBM (-73% over five years, the dramatic collapse from a three-decade #1), TSMC (+41%, the steepest climb among the fabs), and two Asian challengers, Huawei (+10%) and Hyundai Motor (-12%). The remaining sixteen are rendered in light grey for shape, not identification. To avoid a pile-up, endpoint names are shown only for the four movers plus the largest steady filers (Samsung, Qualcomm, LG); on narrow screens the names are dropped entirely. Every company is named in the small-multiples grid.

Small multiples

Each plot rescales to its own y-axis so trajectory shape reads regardless of magnitude. The five-year delta in the upper right is unscaled. Companies with a five-year decline beyond 5% are tinted red; rises beyond 5% are inked in black.

Sector composition (coxcomb)

Wedges are equal-angle, with wedge area proportional to the section's share of all 2024 grants (so radius scales with the square root of share - the honest Nightingale construction, where the eye reads area). The ranked list beside it carries the exact percentages and counts and is the primary read. Section codes are top-level CPC: H Electricity, G Physics, A Human Necessities, B Operations & Transport, C Chemistry, F Mechanical, E Constructions, D Textiles. A patent counts toward every section it's classified under; here we normalize to the dominant classification per patent.

Compare

On the home page the fixed Samsung × IBM pair leads with the parallel-bars table - reading toward the centerline you see Δ in percentage points, with positive numbers favoring assignee A, negative favoring B - above a trajectory overlay that isolates the same two series on a shared scale. The compare page generalizes this to any two of the top 20 assignees with a fully static CSS-only picker (no JavaScript): because an arbitrary pair is chosen in the browser, no pairwise Δ is computed there - instead the trajectory, 2024-share, and CPC-mix marks all use one shared scale in both panels, and the mix bars mirror outward from the centerline, so a mark's size is the comparison across the gutter.

Out of scope

Citation counts (which patents cite which) - the most-cited inventor list is more interesting than the most-prolific list, but citations require g_us_patent_citation.tsv, which is the largest bulk file and is not yet ingested here. Pre-grant publication data, design / plant patents, and reissues are also out of scope. The compare picker is live over the top 20 assignees; a future pass can add a citation-impact dimension (and inventor / co-inventor networks) as a fourth axis alongside trajectory, share, and CPC mix.


Generated 2026-07-10 23:54 UTC

Source: USPTO Open Data Portal - PatentsView Granted Patent Disambiguated Data (product PVGPATDIS)