featured-image-standard-abstract-lines-dots-nodes-connecting

AI patent applications surge, says new WIPO report

Published: 13:41, February 2, 2019

There has been a dramatic surge in artificial intelligence patent applications globally, says a new report. According to WIPO, which prepared the report, the greatest untapped opportunities exist outside of the software industry in healthcare, manufacturing, and agriculture. WIPO stands or the World Intellectual Property Organization.

According to WIPO, AI (artificial intelligence) is revolutionizing every aspect of how we live and work. To maximize its benefits, we must create a common understanding of artificial intelligence based on facts.

Analyzing data from patent applications

WIPO’s first report in its ‘Technology Trends‘ series offers evidence-based projections. It aims to inform policymakers on AI’s future.

The authors gathered and analyzed data in patent applications to better understand the latest trends in the AI field. They also analyzed data in scientific publications.

Patent applications surging

Since the emergence of AI in the 1950s, there have been patent applications for nearly 340,000 AI-related inventions. Over the same period, there have been more than 1.6 million scientific publications.

Since 2013, the number of patent applications in the field of AI has risen significantly. More than half of all identified inventions have been published since 2013.

In the report’s Executive Summary, the authors wrote:

“While scientific publications on AI date back decades, the boom in scientific publications on AI only started around 2001, approximately 12 years in advance of an upsurge in patent applications.”

“Moreover, the ratio of scientific papers to inventions has decreased from 8:1 in 2010 to 3:1 in 2016 – indicative of a shift from theoretical research to the use of AI technologies in commercial products and services.”

Japanese, US, and Chinese companies dominate patent applications

Of the top thirty AI patent applicants, twenty-six are companies and just four are universities or public research organizations.

This ratio applies across most artificial intelligence fields, techniques, and applications.

Of the twenty top companies filing AI-related patent applications, twelve are Japanese, three are American, and two are Chinese.

Regarding IBM and Microsoft, the leaders in AI patenting, the authors wrote:

“IBM has the largest portfolio of AI patent applications with 8,290 inventions, followed by Microsoft with 5,930.”

“Both companies’ portfolios span a range of AI techniques, applications and fields, indicating that these companies are not limiting their activity to a specific industry or field.”

Universities focusing more on specific AI fields

Even though companies dominate, universities and public research organizations are leading in specific AI areas. They lead, for example, in some machine learning techniques, neuroscience, neurorobotics, and distributed AI.

Among the top twenty non-company patent applications, seventeen are from Chinese organizations. Ten Chinese academic organizations are among the top twenty AI-related scientific publications.

Chinese organizations are exceptionally strong in the emerging technique of deep learning. CAS has more than 2,500 patent families and over 20,000 scientific publications on AI. CAS stands for the Chinese Academy of Sciences.

Regarding CAS, the authors wrote:

“CAS has the largest deep learning portfolio (235 patent families). Chinese organizations are consolidating their lead, with patent filings having grown on average by more than 20 percent per year from 2013 to 2016, matching or beating the growth rates of organizations from most other countries.”

South Korea’s Electronics and Telecommunications Research Institute is among the top overall patent applicants. It stands out as second in patent applications among public research organizations and universities.


Christian Nordqvist Avatar

Other News

UK late-payment bill would cap terms and strengthen suppliers’ rights

Sep 30, 2026

Sumitomo completes battery-recycling plants designed to recover four metals

Sep 30, 2026

Smarter controls could make room for 330 GW on existing power grids

Sep 30, 2026

Biosimilars cut into Humira sales and offer savings on costly medicines

Sep 30, 2026

Global wealth hit a record, but much of the gain was on paper, MGI says

Sep 29, 2026

Progress closes $400 million Domo deal to add AI data platform

Sep 29, 2026

SOCAR and Comstock set a $1.65 billion framework for Haynesville gas investment

Sep 28, 2026

HCLSoftware plans Robotiq.ai deal to connect AI agents with older business systems

Sep 28, 2026

ONS research says payroll records could sharpen the UK labor market picture

Sep 28, 2026

Select Water agrees $700 million deal for Pilot Water’s oilfield network

Sep 27, 2026

US firms are pulling back investment in China, Federal Reserve analysis finds

Sep 26, 2026

NetApp plans PEAK:AIO acquisition to scale storage for larger AI clusters

Sep 26, 2026

Bank AI use was linked to a smaller share of small-business lending, Fed study finds

Sep 26, 2026

Iridium shareholders approve Rocket Lab takeover: what still has to happen

Sep 25, 2026

Akamai’s 11.6 billion dollar Anthropic deal ties cloud revenue to a 5.5 billion dollar buildout

Sep 25, 2026

Bentley completes 350 million pound Crewe investment as it unveils its first electric vehicle

Sep 25, 2026

Falling birth rates did not reduce total output in historical data, NBER study finds

Sep 25, 2026

Cheaper renewable power does not solve the capital problem for poorer countries

Sep 25, 2026

Facial payments may feel novel, but money worries can curb repeat use

Sep 24, 2026

Precision farming cuts water use while raising crop yields, study finds

Sep 24, 2026