Artificial Intelligence: Patents, Business Opportunity, and Brand Strength Analysis
Global Artificial Intelligence Market Size, Industry, Patents and Brand Strength Analysis
One of the most talk-about news in 2016 is how Googles AlphaGo beat Lee Sedol, a Go world champion in March. The first known example of AI (Artificial Intelligence) technology defeating a human brain can be tracked back to 1997 when IBMs chess computer Deep Blue won world chess champion Garry Kasparov. In the IoT (Internet of Things) age, AI is a major accelerator to smarten up electronics products, leading to the emergence of smart cars, smart elevators, smart home appliances, smart pets, smart robots, smartphones, and more. This report provides an overview of AI through thorough patent data mining techniques to reflect major vendors patent deployment and technology readiness; examines the strategic planning and challenges of leading AI companies such as Microsoft, IBM, Google, Canon, Xerox, Sony, Oracle, and SAP. Also included are the insights about market opportunities of AI for newcomers.
List of Topics
Overview of AI technologies which have four important algorithms and applications, including neural network, expert system, fuzzy logic, and genetic algorithm
Analysis of 22,976 patents by technology field and sector using the data mining techniques; also included are
Detailed profile of top 20 assignees and their relative R&D intensity ranking
Patent distribution share by country, by sector, and by technology field, and includes patent counts by technology field
Detailed analysis of patent/assignee matrix, with 230 key patented technologies being sorted into eight categories
Analysis of AI developments of major players, including IBM, Microsoft, Google, Siemens, and Rockwell Automation
1.Technology overview
1.1 Neural Network
1.2 Expert System
1.3 Fuzzy Logic
1.4 Genetic Algorithm
2. Patent Mining
2.1 Patent Search
2.1.1 Selecting a Patent Database
2.1.2 Identifying Search Keywords
2.1.3 Data Selection
2.1.4 Data Analysis
3. Trend Analysis
3.1 Data Mining
3.1.1 Patent Distribution by Country
3.1.2 Patent Distribution by Sector and Field
3.1.3 Patent Distribution by Key Technology Field
3.1.4 Patent Distribution by Key Correlative Technology
3.2 R&D Readiness Analysis
3.2.1 R&D Intensity
4. Patent Portfolio Analysis
4.1 International Assignees
4.2 Development of Major Patent Assignees
4.2.1 IBM
4.2.2 Microsoft
4.2.3 Google
4.2.4 Siemens
4.2.5 Rockwell Automation
5. Conclusion
Appendix
Glossary of Terms
List of Companies
List of Tables
Table 1: AI Patent Core Technology/Correlative Technology Matrix Analysis
Table 2: R&D Intensity of Top 20 International AI Patent Assignees
Table 3: R&D Intensity of Top 20 Taiwanese AI Patent Assignees
Table 4: AI Patent/International Assignee Matrix Analysis
List of Figures
Figure 1: AI Patent Distribution Share by Country
Figure 2: AI Patent Distribution Share of International Assignees by Sector
Figure 3: AI Patent Distribution Share of Taiwanese Assignees by Sector
Figure 4: AI Patent Distribution Share of International Assignees by Field
Figure 5: AI Patent Distribution Share of Taiwanese Assignees by Field
Figure 6: AI Correlative Patent Distribution Share by Technology Type: International Assignees
Figure 7: AI Correlative Patent Distribution Share by Technology Type: Taiwanese Assignees
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