Artificial Intelligence-based marketing patents are the fastest growing global category with a CAGR of 29.3 percent from 2010 to 2018. Since 2010, there have been more than 154,000 AI patents filed globally, where the healthcare sector, industry-specific solutions, and AI-based digital survey held the majority with 29.5 percent, 25.3 percent, and 15.7 percent, respectively.
In this period, the second- and third-fastest growing global AI patent categories are AI-based digital security, with 23.4 percent, and 23 percent for AI-based mobility. In the U.S., 79,936 patents were filed through this period, with 32.6 percent in the healthcare sector, 20.5 percent in industry-specific solutions and 18 percent in AI-based digital security. Today, Machine Learning leads the AI patent landscape, including Deep Learning and Neural Networks. These insights, titled with Artificial Intelligence as a Key Technology and Driver of Technological Progress, are recently presented by EconSight, found that Microsoft dominates the AI patent race going into 2019 with 697 world class patents where the company identifies as having a major cutthroat impact as of November 2018. As defined by EconSight, out of 30 companies and research institutions, Microsoft has generated 20-percent of all patents in the global group of patent-producing companies and institutions.
As Machine learning lead the AI patent landscape today, along with all segments of AI patents including deep learning and neural networks, it is based on the foundational concepts of Bayesian analysis, data mining, and predictive analytics. Machine learning algorithms and the applications they depend on are designed to uncover patterns in large-scale data sets, while also being able to unravel intricate, constraint-based issues by learning from the data. Enterprise software firms like Microsoft, SAP, and others are dynamically building AI technologies that incorporate into their accessible platforms, streamlining adoption across their many clients.