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Artificial Intelligence: Patents, Business Opportunity and Brand Strength Analysis

  • ID: 4213887
  • Report
  • 32 pages
  • Market Intelligence & Consulting Institute (MIC)
until Dec 31st 2019
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AI Patents are Mostly Commonly Used for Natural Language Data Processing and Expert Systems


  • Academia Sinica
  • Canon
  • Hitachi
  • Intel
  • Nuance Communications
  • Siemens
  • MORE

One of the most talk-about news in 2016 is how Google's 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 IBM's 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
Note: Product cover images may vary from those shown
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  • Academia Sinica
  • Canon
  • Hitachi
  • Intel
  • Nuance Communications
  • Siemens
  • MORE

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


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

Note: Product cover images may vary from those shown
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  • AT&T
  • Academia Sinica
  • Adobe Systems
  • Amazon
  • Apple
  • Blackberry
  • Canon
  • Chi Mei Communication Systems
  • Chunghwa Telecom
  • Delta Electronics
  • Fujitsu
  • General Electric
  • Google
  • HP
  • HTC
  • Hitachi
  • Hon Hai Precision
  • IBM
  • ITRI
  • Inotera Memories
  • Institute of Nuclear Energy Research Atomic Energy Council
  • Intel
  • Inventec
  • Mediatek
  • Microsoft
  • NEC
  • National Central University
  • National Cheng Kung University
  • National Chiao Tung University
  • National Pingtung University of Science and Technology
  • National Taiwan University
  • National Taiwan University of Science and Technology
  • Nuance Communications
  • Oracle
  • Qualcomm
  • Rockwell Automation
  • SAP
  • Samsung
  • Siemens
  • Sony
  • TSMC
  • Toshiba
  • Wistron
  • Xeros
  • Yahoo!
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Primary research with a holistic, cross-domain approach

The exhaustive primary research methods are central to the value that the analyst delivers. A combination of questionnaires and on-site visits to the major manufacturers provides a first view of the latest data and trends. Information is subsequently validated by interviews with the manufacturers' suppliers and customers, covering a holistic industry value chain. This process is backed up by a cross-domain team-based approach, creating an interlaced network across numerous interrelated components and system-level devices to ensure statistical integrity and provide in-depth insight.

Complementing primary research is a running database and secondary research of industry and market information. Dedicated research into the macro-environmental trends shaping the ICT industry also allows the analyst to forecast future development trends and generate foresight perspectives. With more than 20 years of experience and endeavors in research, the methods and methodologies include:


  • Component supplier interviews
  • System supplier interviews
  • User interviews
  • Channel interviews
  • IPO interviews
  • Focus groups
  • Consumer surveys
  • Production databases
  • Financial data
  • Custom databases


  • Technology forecasting and assessment
  • Product assessment and selection
  • Product life cycles
  • Added value analysis
  • Market trends
  • Scenario analysis
  • Competitor analysis