Blockchain IoT Development in China: Patent Distribution, Market Trend, and Opportunity Analysis

In recent years, the cooperation between blockchain technology and IoT (Internet of Things) has become an important development trend. This main reason is that the blockchain has decentralized characteristics and digital signatures, and can record modified data to lower malicious attacks to IoT and connected devices. Blockchain technology has enhanced security between connected devices thus has encouraged widespread adoption of IoT applications.

Other than virtual currencies, blockchain has also begun to extend reach to logistics, smart home appliances, IoV (Internet of Vehicle), energy management, smart healthcare, and smart farming. This report provides an overview of what Chinese big names and startups have invested in blockchain IoT and fully examines their patent deployment strategies in this sector.

List of Topics

Overview of blockchain IoT development from a technology perspective
China blockchain-IoT patent counts by patent sector, by patent field, by application year, by country, by patent technology, and by assignees such as China Mobile, China Unicom, Huawei, Tencent, JD.com, Intel, and Samsung, and some startups
Patent analysis from an industrial-analytic perspective

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Technology

introduction
1.1 Definition

2. Patent Analysis

2.1 Patent Mining
2.2 Trend Analysis
2.2.1 Analysis by Sector
2.2.2 Analysis by Field
2.2.3 Analysis by Patent Field and Patent Application Year
2.2.4 Analysis by Patent Field and Enterprise Assignee
2.2.5 Analysis by Technology
2.2.6 Matrix Analysis by Patent Technology and Patent Application Year
2.2.7 Analysis by Patent Technology and Corporate Assignee
2.2.8 Analysis by Application
2.2.9 Analysis by Patent Application and Patent Application Year

3. Author's PerspectiveAppendixGlossary of TermsList of Companies

List of Tables

Table 1 Matrix Analysis of China Blockchain IoT Patent Counts by Patent Field and Patent Application Year
Table 2 Matrix Analysis of China Blockchain IoT Patent Counts by Patent Field and Enterprise Assignee
Table 3 Matrix Analysis of China Blockchain IoT Patent Counts by Patent Field and by Chinese Startup Assignee
Table 4 China Blockchain IoT Patent Application Share by Technology
Table 5 Matrix Analysis of China Blockchain IoT Patent Counts by Patent Technology and Patent Application Year
Table 6 Matrix Analysis of China Blockchain IoT Patent Counts by Patent Technology and Corporate Assignee
Table 7 Matrix Analysis of China Blockchain IoT Patent Counts by Patent Technology and Chinese Startup Assignee
Table 8 China Blockchain IoT Patent Application Share by Application
Table 9 Matrix Analysis of China Blockchain IoT Patent Counts by Patent Application and Patent Application Year

List of Figures

Figure 1 Blockchain IoT Use Cases
Figure 2 China Blockchain IoT Patent Application Share by Sector
Figure 3 China Blockchain IoT Patent Application Share by Field

Companies Mentioned

A selection of companies mentioned in this report includes:

Alibaba
Bubi (Beijing) Network Technology
Changhong
China Mobile
China Unicom
Comba
EMIS
Gree Electric
Hepu Energy
Huawei
Inspur
Intel
JD.com
Knowcloud Technology (Beijing)
Neng Lian Technology
Qihoo 360
Samsung
Singularity (Shenzhen)
State Grid Zhejiang Electric Power Co. LTD
Tencent
Turning
VeChain
VeChain (Shanghai)
WellnessChain
Wistron
Zhicheauto Technology (Beijing)
ZhongAn Technology
ZLT Tech

Methodology

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