# Fastest Assignees 1Y

> Top Fastest Assignees: Most Patents in 1 Year

## At a glance

- **Publisher:** Idiyas Com
- **Data source:** idiyas.com
- **Category:** Information
- **Price:** 0 credits (about $0.00 per request, billed on a successful response)
- **Coverage:** US
- **Type:** VISUALIZATION
- **URL:** https://marketplace.spartera.com/products/fastest-assignees-1y/8e6cdadd-e8a0-476f-9df0-72a76cfc4a4f

## Description

Top Fastest Assignees: Most Patents in 1 Year
This benchmark dataset and patent intelligence report provide a comprehensive performance analysis of top global patent assignees (corporations, universities, and research institutes) receiving the highest volume of granted patents within a single calendar year. Analyzing filings across major international patent offices—including the USPTO, EPO, and WIPO—this dataset identifies key corporate innovation drivers and rapid-growth patent recipients across high-tech sectors.
Key Insights & Data Points Included:
- Global Assignee Rankings: Absolute volume breakdowns of top corporate patent recipients (led by global technology leaders such as Samsung Electronics, TSMC, Qualcomm, Huawei, and Canon).

- High-Velocity Annual Growth: Tracking fast-moving assignees displaying significant year-over-year percentage increases (CAGR %) in key focus areas like artificial intelligence, semiconductor fabrication, and clean technology.

- Institutional & Academic Leaders: Benchmarking top research institutions and university patent systems (such as the University of California system and King Fahd University) alongside commercial enterprise leaders.

- B2B & Legal Tech Integration: Structured baseline data designed for corporate IP strategy, competitive licensing evaluations, M&A due diligence, and enterprise R&D benchmarking.

Who is this for?
Essential for IP attorneys, patent strategy directors, corporate licensing leads, enterprise technology scouts, venture capital analysts, and competitive intelligence teams evaluating annual intellectual property velocity.

## Machine-readable

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Published by Idiyas Com on the Spartera Analytics Marketplace. Licensed under https://marketplace.spartera.com/terms.