Intel is positioning itself for AI futures with leading GPU semiconductor filings and a strong footprint in AI-in-IC architecture, while expanding activity in memory-heavy and analog AI patents.

Samsung is leveraging its memory leadership to broaden its AI-chip strength, leading in AI architecture patenting and memory-related AI work across areas like HBM, NPUs, PIM, and SoCs.

Qualcomm is shifting from mobile/edge AI toward data-center AI, showing robust growth in AI architecture filings and increasing GPU presence backed by data-center accelerators such as the AI200 and AI250.

China-based entities have dramatically increased filings, totaling 5,387 over five years, tripling private rivals amid export controls and a push for domestic alternatives.

Readers can obtain a free copy of the report via Anaqua’s provided link on the article’s page.

Anaqua is highlighted as a provider of IP management technology and services with broad global reach and adoption among top patent filers and brands.

Publication lags at patent offices, spanning 18 to 30 months, help explain spikes in filings that mirror past chip shortages and subsidy programs like Chips Act incentives.

Anaqua’s Semiconductor Industry Patent Report is a key resource in measuring AI-driven growth in patent activity and the expanding influence of AI across the chip stack.

China dominates AI inference patenting and is rising in GPU filings, driven by government-affiliated entities and a strategic push amid export restrictions affecting chip sovereignty.

Industry outlook emphasizes geopolitics and IP as central to technology dominance, with a trend toward closer memory-processing integration and specialized algorithms powering AI performance.

Anaqua’s 2026 Semiconductor Industry Patent Report shows AI and semiconductor filings up about 114% over five years, outpacing overall semiconductor patent growth, signaling AI-driven innovation across architecture, GPUs, inference processors, and hyperscaler accelerators.

Hyperscalers like Alphabet/Google (TPU) and Microsoft (Maia) are increasingly designing their own chips, signaling a shift toward vertical integration in AI hardware.