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Chinese Natural Language Data Processing: China Patent Deployment, Business Opportunity and Challenge Analysis

  • ID: 4309508
  • Report
  • May 2017
  • Region: China
  • 20 pages
  • Market Intelligence & Consulting Institute (MIC)
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FEATURED COMPANIES

  • Apple
  • Baidu
  • Google
  • Huawei
  • IBM
  • Microsoft
  • MORE

NLDP (Natural Language Data Processing) technology is a field of AI (Artificial Intelligence) and is widely used in smart technology applications such as smart customer service, smart retailing, chatbots, educational robots and domestic robots. By adopting NLDP technology, a computer is able to communicate and interact with humans more naturally and intuitively. More and more leading international vendors are rolling out various kinds of smart devices supporting English and Japanese NLDP technology. In contrast, there are relatively few Chinese NLDP-supported devices in the market. This report provides an overview of Chinese NLDP patent trends analysis by country and field; examines key technologies and major patent assignees. Also included are the insights about potential market opportunities and challenges of NLDP patent deployment for newcomers.

List of Topics

  • Overview of the development of Chinese natural language data processing technology
  • Analysis of 2,147 patents by technology field and sector using the data mining techniques
  • Patent distribution share of international and Taiwanese assignees by country, by sector, and by technology field, and includes patent matrix analysis of key verses relevant technologies

 

Note: Product cover images may vary from those shown
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FEATURED COMPANIES

  • Apple
  • Baidu
  • Google
  • Huawei
  • IBM
  • Microsoft
  • MORE

1. Patent Mining
1.1 Patent Search
1.1.1 Selecting a Patent Database
1.1.2 Identifying Search Keywords
1.1.3 Data Selection
1.1.4 Data Analysis

2. Trends Analysis Using Data Mining
2.1 Analysis of Trends by Country
2.2 Analysis of Trends by Sector and Field
2.3 Analysis of Trends by Key Technology Segment

3. Conclusion
3.1 Computer Technology Has the Highest Numbers of Patent Filings, Followed by Digital Communication
3.2 Automatic Analysis Claims Largest Share of Key NLDP Patents in China, Followed by Processing or Translating
3.3 NLDP Relevant Patents Concentrated Mostly on Electric Digital Data Processing

Appendix

List of Tables
Table 1 Chinese NLDP Patents' Matrix Analysis: Key Technology vs. Relevant Technology

List of Figures
Figure 1 Chinese NLDP Patent Distribution Share by Country: International Assignees
Figure 2 Chinese NLDP Patent Distribution Share by Field: International Assignees
Figure 3 Chinese NLDP Patent Distribution Share by Field: Taiwanese Assignees
Figure 4 Chinese NLDP Patent Distribution Share by Sector: International Assignees
Figure 5 Chinese NLDP Patent Distribution Share by Sector: Taiwanese Assignees
Figure 6 Chinese NLDP Patent Distribution Share by Relevant Technology Segment: International Assignees
Figure 7 Chinese NLDP Patent Distribution Share by Relevant Technology Segment: Taiwanese Assignees

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  • Apple
  • Baidu
  • Google
  • Huawei
  • IBM
  • Microsoft
  • Samsung
Note: Product cover images may vary from those shown
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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:

Method

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

Methodology

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

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