Artificial intelligence (AI) is revolutionizing every aspect of life and work. Creating a common understanding of AI based on facts is critical to maximize its benefits.
This first report in our "Technology Trends" series offers evidence-based projections to inform global policymakers on the future of AI. It analyzes data in patent applications and scientific publications to better understand the latest trends in the field.
Browse our collection of key findings to get an overview of the main takeaways from the report.
For more detail, read the executive summary .
AI patenting has grown dramatically since 2013, with U.S. and Asian companies leading the way.
Machine learning is the most popular AI technique being patented and includes the fastest growing technique, deep learning.
AI for robotics and control methods to manage the behavior of devices are the AI application areas with the fastest growth.
Transportation is the dominant industry and is seeing the fastest growth in AI patenting.
One-click access to patent applications related to artificial intelligence.
The index follows the same categorization and equivalent search model used in the WIPO Technology Trends Report: Artificial Intelligence.
Access the PATENTSCOPE AI indexWe partnered with leading experts from around the world to get their views on a wide range of AI issues.
We’ll be adding more expert views to this page on a regular basis.
Kay Firth-Butterfield, World Economic Forum
Kai-Fu Lee, Chairman & CEO, Sinovation Ventures
Ben Lorica, O’Reilly Media
Haifeng Wang, Baidu
Discover where our data comes from, how we collected it, and why we chose the approach we use.
What’s the difference between deep learning and machine learning? Find out in our helpful glossary of AI terms.
Access the unabridged data set behind the report.