AI

New Anaqua Report Reveals Surge in AI Semiconductor Patent Filings

AI emerges as the defining innovation driver at 114% growth in patent filings, reshaping semiconductor R&D investment across every layer of the technology stack

Boston, MA – September 1, 2026 – Anaqua, the leading provider of innovation and intellectual property (IP) management technology and services, today announced key findings from its 2026 Semiconductor Industry Patent Report: AI & Innovation Trends, published earlier today. The report, an analysis of global semiconductor patent activity, reveals a market undergoing structural transformation, driven significantly by the demands of artificial intelligence (AI). While overall semiconductor patenting grew 78% over the last five years, patents at the intersection of AI and semiconductors grew 114%, which is nearly 40 percent faster. AI is not merely influencing semiconductor innovation, it is increasingly defining it at every level of the technology stack – across chip architecture, graphics processing units (GPUs), inference processors and custom accelerators for hyperscalers.

"Semiconductors are the foundation of the technology industry, and their advances unlock entire new categories of innovation," said Toni Njim, chief product officer, Anaqua. "We set out to measure exactly how much artificial intelligence (AI) is driving that foundation forward, and the answer is clear: AI isn't just influencing semiconductor innovation anymore. It's defining it and the scale of that impact is astounding."

Using Anaqua's AcclaimIP patent analytics platform to analyze more than 700,000 semiconductor patent filings, the report shows AI's influence on nearly every layer of chip innovation.

Key Findings from Anaqua’s 2026 Semiconductor Industry Patent Report: 

  • AI is a disproportionate, structural driver of semiconductor innovation. It’s not just a cyclical bump. AI-and-semiconductor patents grew 114% versus 78% for the broader combined universe. A closer examination of key semiconductor subcategories across the AI landscape makes it even more evident that AI is driving an outsized impact on the chip market. This isn’t a niche trend: AI has become the primary organizing force behind where semiconductor R&D investment and patent filings are being directed.

  • NVIDIA’s patent footprint may appear smaller relative to its market dominance because its moat isn’t in hardware. NVIDIA holds just 49 GPU-titled semiconductor patents (ranking #7) and ranks #15 in inference chips. Its durable advantage lies in its CUDA (Compute Unified Device Architecture) software ecosystem, introduced in 2006.

  • IBM leads where the science is hardest. IBM tops AI-semiconductor crossover filings (794) and analog AI (389), with a footprint concentrated in frontier technologies. These include quantum computing, neuromorphic chips and phase-change memory that encodes neural-network weights directly onto the chip (claiming roughly 14 times better energy efficiency, now reaching commercial deployment via its Spyre accelerator).

  • Qualcomm is quickly pivoting from mobile into the data center. Long anchored in on-device and edge AI, Qualcomm now ranks #9 in inference (655 filings, notably with none granted five years ago) and shows some of the steepest growth in the report, up 186% in AI architecture (252 filings), with a rising GPU position (#4, 134 filings). Its analog work spans neuromorphic mobile circuits and its new AI200/AI250 data-center inference accelerators, which lean on power efficiency and memory capacity as differentiators against competitors.

  • Samsung is leveraging its memory position into broad AI-hardware leadership. Samsung leads AI architecture patenting (1,194 filings), leads HBM (107 filings), and ranks second in both inference and analog AI, spanning neural processing units (NPUs), processing-in-memory (PIM), and its Exynos system-on-chip (SoC) line. It’s the clearest case of a memory manufacturer converting that base into end-to-end AI-chip strength.

  • China dominates AI inference patenting by a significant margin and is rising fast in GPUs. Chinese government-affiliated entities lead inference and accelerator filings with 5,387 over five years, far ahead of Samsung’s 1,897, spreading across universities, national labs and state research institutes. The same entities rank third in GPU filings, with startups like Moore Threads and Muxi emerging. This can be read as the result of a chip-sovereignty response to U.S. export restrictions.

  • Intel is strategically positioned for an AI future. Intel leads GPU semiconductor filings with 188. It ranks second, with 967 filings, in the AI-in-IC (integrated circuits)-architecture space. Intel ranks third with 23 patents that address HBM, and fifth in patents granted (225) at the convergence of AI and analog ICs, ranking 8th in inference semiconductor patents with 792.

  • Hyperscalers have become silicon designers. Alphabet/Google’s tensor processing unit (TPU) and Microsoft’s Maia accelerator-related patenting appear across nearly every AI-and-semiconductor patenting intersection. This reflects cloud giants designing custom chips for their own workloads rather than buying off the shelf, a vertical-integration shift emerging in terms of who controls AI hardware.


Anaqua’s Semiconductor Industry Patent Report

Anaqua’s Semiconductor Industry Patent Report is based on an analysis of 713,755 total semiconductor-related filings over the latest five-year period, including more than 174,000 in the most recent 12-month period alone. The report was generated using data from Anaqua’s AcclaimIP patent analytics platform, accessed between May and June of 2026. All queries were executed via the AcclaimIP Model Context Protocol (MCP) connector, enabling direct programmatic access to the full patent database. For a free copy of the report, please visit https://go.anaqua.com/2026-semiconductor-patent-report.

About Anaqua

Anaqua, Inc. is a premier provider of integrated intellectual property (IP) management technology solutions and services for corporations and law firms. Its IP management software platforms offer best practice workflows with big data analytics and tech-enabled services to create an intelligent environment designed to inform IP strategy, enable IP decision-making, and streamline IP operations, and protect organizations’ freedom to operate tailored to each segment’s needs. Today, nearly half of the top 100 U.S. patent filers and global brands, as well as a growing number of law firms worldwide use Anaqua’s solutions. Over two million IP executives, attorneys, paralegals, administrators, and innovators use the platform for their IP management needs. The company’s global operations are headquartered in Boston, with offices across the U.S., Europe, Asia, and Australia. For additional information, please visit Anaqua.com, or on Anaqua's LinkedIn.

AI Industry Association patent prior art found

The team at Unified used Pearl to successfully identify and chart prior art against U.S. Patent 11,257,272, owned by the Artificial Intelligence Industry Association Incorporated, an NPE.  The ‘272 patent generates synthetic images, depth information, and optical flow data by assembling virtual objects into scenes and capturing them from realistic perspectives, defined by specific camera settings. It has been asserted against Osaro, Parallel Domain, CERES AI, MVision AI, Topaz Labs, Elementary Robotics, and Geisel Software.

Identified Prior Art

Unified Patents Approved for OpenAI Zero Data Retention; Equivalent Zero-Retention Configuration Confirmed for Gemini

Unified Patents, LLC secured approval from OpenAI for Zero Data Retention (ZDR) following an individual review process. ZDR removes OpenAI’s standard API log retention for our approved use cases. In parallel, our Gemini integrations on Google Cloud are configured for an equivalent zero-retention posture, including disabling context caching and avoiding features that store prompts or responses. These additional protections apply to Unified’s Portal tools: Pearl, Precision, and Ask Patty.

To our members, customers, and users in the legal community: we built these controls to reinforce the confidentiality. With these zero retention configurations, provider systems do not retain the prompts or outputs our tools send for approved endpoints and configurations—and neither provider uses our API data to train their models. These measures complement our internal safeguards and procedures designed to protect work product.

What this means for you

  • Zero provider-side retention by OpenAI: OpenAI does not retain inputs or outputs.

  • Gemini set to zero retention: Our Gemini integrations are configured to avoid provider retention (e.g., disabling context caching) and to exclude stored modes that could keep data.

  • No training on our business/API data: Our AI usage is implemented so that model providers do not use our prompts or responses to train their models.

  • Aligned with confidentiality: Our approach is designed to minimize provider-side exposure and help maintain the confidentiality of sensitive matters.

Defensive Alliance to Shield AI Companies from Patent Troll Litigation

Unified Patents is happy to launch the Artificial Intelligence (AI) Zone. This new Zone will deter patent abuse and bring together a large and growing network of members to address non-practicing entities that assert vague software patents.

The Zone combines ex parte reexamination challenges, litigation trend monitoring, ownership intelligence, prior‑art workflows, and USPTO challenges to change trolls’ cost–benefit calculus across AI domains.

Members gain access to shared data on litigation trends, patent ownership changes, and aggressive actors in the AI patent space. As part of the AI Zone, Unified Patents has developed the first-ever GenAI patent landscape.  This landscape, OPAL for GenAI, will help companies identify and mitigate risk, plan their legal strategies, grow their portfolios, and understand their own value.

This tool, available exclusively to the members of Unified Patents’ new Zone, allows for a new way to identify and value patents, analyze risk, and determine the total top-down patent landscape quickly and easily—and be more prepared and better value the competition and litigations of tomorrow.

To learn more about membership, the landscape, or other services, contact sasha@unifiedpatents.com.

New AI NPE Campaign — Prior Art Found

Using Pearl, Unified has successfully identified and charted prior art against a patent owned by the Artificial Intelligence Industry Association Incorporated, an NPE.  These patents generally relate to machine learning and artificial intelligence technologies. They have been asserted against Osaro, Topaz Labs, Elementary Robotics, and Geisel Software.

Unified Patents used its first-ever GenAI patent landscape, OPAL for GenAI, to find the patent activity from the Artificial Intelligence Industry Association. OPAL for GenAI, available exclusively to the members of Unified Patents’ new Artificial Intelligence Zone, allows for a new way to identify and value patents, analyze risk, and determine the total top-down patent landscape quickly and easily—and be more prepared and better value the competition and litigations of tomorrow.