Taipei-based research institute MIC (Market Intelligence & Consulting Institute) compared and cross-examined 22,976 AI-related patents and found that 66.2% of patents are used for Natural Language Data Processing, followed by E Expert Systems(5.4%), Machine Learning(4.2%), Adaptive Control Systems(3.6%), Neural Network(1.2%), Fuzzy Logic(1.1%), Genetic Models(0.3%), and Chaos Models(0.3%).

AI Patent Distribution Share of International Assignees by Field

Source: MIC, April 2017

"It is noteworthy that the patent counts of Machine Learning remain relatively low despite its growing popularity and is worth the investment in resources and time. Based on our findings, three representative vendors Microsoft, IBM, and Google have all concentrated on Natural Language Data Processing. IBM has a lot more patent counts in Expert Systems compared to Microsoft and Google and this is maybe got something to do with its cognitive system Watson. Most of Machine Learning patents however fall into the hands of Microsoft, Google and IBM," says David Chen, senior industry analyst with MIC.

To see more about this report, please visit: Artificial Intelligence: Patents, Business Opportunity, and Brand Strength Analysis

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About MIC

Market Intelligence & Consulting Institute (MIC), based in Taipei, Taiwan, was founded in 1987. MIC is Taiwan's premier IT industry research and consulting firm providing intelligence, in-depth analysis, and strategic consulting services on global IT product and technology trends, focusing on markets and industries in Asia-Pacific. MIC is part of the Institute for Information Industry. https://mic.iii.org.tw/english