SEMICONDUCTOR RESEARCH REPORT

AI is now defining semiconductor innovation

Anaqua analyzed 700,000+ patent filings over five years. The key finding: AI-driven semiconductor patents grew 114% — nearly 40% faster than the broader market.

 

The full 2026 report, The Semiconductor Industry Patent Report: AI & Innovation Trends, maps artificial intelligence's fingerprint across chip architecture, GPUs, inference processors, and custom hyperscaler accelerators and reveals which companies and countries are positioning to own the foundational technology of the AI era.

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"AI isn't just influencing semiconductor innovation anymore. It's defining it — and the scale of that impact is astounding."

Toni Njim
Chief Product Officer
Anaqua

 

  • icon - outpace the market

    Outpacing the market

    Analysis shows 114% growth in AI x semiconductor patent filings, vs. 78% for the broader market
  • icon - a deep dataset

    A deep dataset

    A total of 713,755 semiconductor filings were analyzed from Anaqua's patent database

  • icon - accelerating now

    Accelerating now

    The analysis included 174,000+ filings in the most recent 12 months alone

  • icon - the next frontier

    The next frontier

    5,700+ analog and processing-in-memory filings, an emerging AI hardware frontier

Company-specific highlights

  • Samsung is converting its memory dominance into end-to-end AI-hardware leadership, leading AI architecture and HBM filings.

  • Intel leads GPU-titled filings, redirecting decades of processor leadership toward AI acceleration.

  • IBM leads the hardest science — quantum, neuromorphic, and phase-change memory — with its Spyre accelerator claiming ~14x better energy efficiency.

  • NVIDIA's modest patent count belies its market dominance; its real moat is the CUDA software ecosystem.

  • China's government-affiliated entities dominate AI inference/accelerator filings, a likely response to U.S. export restrictions.

  • Qualcomm and the hyperscalers (Google, Microsoft) are among the fastest-growing filers, custom-designing silicon for their own workloads.

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