01
Five years.
324,040 patents.
Twenty companies.
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.
Trajectories
Top 20 assignees · 2020-2024 grantsEach 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.
Small Multiples
Each company's five-year arc, on its own scaleThe 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.
Sector Composition
CPC main classes · share of 2024 grantsGeography
Selected metros · 2024 grantsPatent 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.
Side by Side
Samsung Electronics vs IBMTwo 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.
Samsung Electronics
IBM
Methodology
Notes on the dataThis 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 All counts are granted, non-withdrawn utility patents; a patent's year is its grant year.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)