The Rise of AI Patents: How Filings Exploded 10x in a Decade

In 2014, the USPTO granted roughly 2,000 AI-related patents. By 2024, that number topped 20,000. That's a lot of patents.

We ran the numbers across Patent Bear's index of over 6 million US patents, and the growth isn't subtle. It tracks almost exactly with the deep learning boom — first CNNs eating computer vision alive, then transformers doing the same to NLP, and now generative AI pulling every industry into the mix. What used to be a quiet corner of the patent system is now one of the most crowded areas in the entire USPTO.

The Numbers

| Year | AI Patent Grants (approx.) | YoY Growth | |------|----------------------------:|----------:| | 2014 | 2,000 | — | | 2015 | 2,400 | +20% | | 2016 | 3,100 | +29% | | 2017 | 4,200 | +35% | | 2018 | 5,800 | +38% | | 2019 | 7,600 | +31% | | 2020 | 9,400 | +24% | | 2021 | 12,100 | +29% | | 2022 | 15,300 | +26% | | 2023 | 18,500 | +21% | | 2024 | 20,800 | +12% |

The percentage growth has slowed down, but that's just math — 12% of 20,000 is still 2,000+ new patents in a single year. The absolute volume keeps climbing.

Where AI Patents Live: CPC Codes You Should Know

If you're actually trying to search for AI patents (not just read about them), here are the CPC codes that matter:

G06N is the big one. Computing arrangements based on specific computational models — machine learning, neural networks, genetic algorithms, it's all here. Within that, G06N 3/08 covers learning methods for neural nets specifically, and it's become one of the most-cited subclasses in the entire patent system.

G06F 18 handles pattern recognition and classification. A lot of the older ML patents — your SVMs, random forests, clustering algorithms — end up here.

G06V is where computer vision lands. Object detection, image segmentation, all the stuff that makes your phone recognize faces.

G10L covers speech analysis. Siri, Alexa, and every voice assistant you've ever yelled at.

G06N 5 is knowledge-based and expert systems — more of a legacy class, but still gets filings.

You can search by CPC code on Patent Bear using the advanced search filter. Honestly, it's the fastest way to find prior art in a specific AI sub-area without wading through thousands of keyword results.

Who's Filing All These Patents?

No surprises at the top. IBM has led total US patent grants for something like 30 years running, and AI is no different.

| Rank | Assignee | AI Patents (2020-2024) | |------|----------|---:| | 1 | IBM | 8,200+ | | 2 | Samsung | 6,800+ | | 3 | Microsoft | 4,500+ | | 4 | Google / Alphabet | 3,900+ | | 5 | Amazon | 3,200+ | | 6 | Intel | 2,800+ | | 7 | Qualcomm | 2,400+ | | 8 | Apple | 2,100+ | | 9 | Huawei | 1,900+ | | 10 | Meta / Facebook | 1,700+ |

Samsung's position might seem surprising until you remember they're heavily invested in edge AI and on-device inference for mobile chips. And Apple's numbers are probably understated — they're notorious for filing under subsidiary names and shell LLCs to keep things quiet.

The top five are all primarily software and cloud companies. This is a software-driven patent boom, full stop.

Sub-Areas: What's Actually Being Patented

NLP Has Taken Off

NLP patents saw the sharpest growth post-2020, and you can thank (blame?) large language models for that. About 4,500 NLP patents granted in 2024 alone — text generation, sentiment analysis, machine translation, chatbot architectures. Two years ago, "transformer-based" wasn't a term that showed up much in patent claims. Now it's everywhere.

Computer Vision Is Still the Biggest Category

By raw volume, computer vision wins. Around 6,200 patents in 2024. Image recognition, object detection, video analysis, medical imaging. But the growth rate has cooled to about 15% annually — this area matured faster, and a lot of the foundational stuff was patented years ago.

Self-Driving Is Its Own World

Autonomous vehicle patents — roughly 2,800 per year — tend to be unusually complex. A single AV patent might cover sensor fusion, real-time path planning, and ML inference all in one application. Waymo, Tesla, and Toyota dominate, with a handful of startups mixed in.

Healthcare AI Is the Fastest-Growing Niche

About 40% year-over-year growth since 2021. Radiology image analysis, drug molecule prediction, clinical decision support. Around 1,800 patents in 2024. If you're doing FTO work in medical devices right now, you're probably already drowning in AI-related prior art.

Recommendation Systems

Netflix, Spotify, Amazon, TikTok — they're all patenting their recommendation algorithms. Collaborative filtering, reinforcement learning for personalization, real-time ranking. Roughly 1,200 patents per year. Steady but not explosive.

What This Actually Means for You

Patent Thickets Are a Real Problem

Try building anything commercial in NLP or computer vision without potentially stepping on someone's claims. Go ahead. I'll wait. The density of overlapping patent portfolios in popular AI sub-areas has created genuine thickets — and they slow innovation down.

FTO Analysis Has Gotten Brutal

A freedom-to-operate search in machine learning circa 2015 might turn up a few hundred relevant patents. Run that same search today and you're looking at thousands. If you're a startup without decent patent search tools, you're flying blind. That's not a sales pitch — it's just the reality of a space that went from 2,000 to 20,000 patents in ten years.

Examiner Workload Is Crushing

The examiners in Technology Center 2100 (computer architecture and software) are dealing with some of the highest case volumes in the entire USPTO. AI patents have a higher-than-average rate of prior art issues, partly because so much foundational work was published in academic papers that examiners don't always catch. The quality concerns are real.

Most Big Companies Are Filing Defensively

Here's something people outside patent law don't always get: a huge chunk of these filings aren't meant to be enforced. They're defensive. The big cross-licensing deals between tech companies — IBM and Samsung, Google and Microsoft — they depend on each side having a big enough portfolio. Filing AI patents is partly about having chips at the negotiating table.

Searching AI Patents

If you're doing prior art research, competitive intelligence, or FTO analysis in AI, the trick is combining keyword search with CPC classification filtering. Keywords alone will bury you.

On Patent Bear, you can search by keyword, filter by CPC class, read full claims and descriptions with inline figures, save and annotate patents into collections, and generate claim charts to compare claims against products or prior art.

This space isn't getting simpler. Whether you're filing, defending, or just trying to understand what your competitors have locked down, the data is the starting point.