The Applications of IoT Technology in the Industrial Sector Have Been Seen as a Huge Opportunity for 5G-Related Hardware Ecosystems
The applications of IoT (Internet of Things) technology in the industrial sector have been seen as a huge opportunity for 5G-related hardware ecosystems. However, compared with the current mainstream technologies used for industrial IoT such as industrial Ethernet, 5G is not particularly appealing to enterprises in the short run. This report examines the advantages of 5G technology in the industrial IoT, compares it with the current industrial IoT technologies, and examines the IoT product strategies of Qualcomm and Huawei in the era of 5G.
List of Topics
- Applications of 5G technology in the industrial IoT in the areas of motion control, mobile robots, mobile control panels with safety functions, and process automation
- Development of industrial IoT technologies and includes the development communications chipmakers such as Qualcomm and Huawei
Table of Contents
Samples
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Companies Mentioned (Partial List)
A selection of companies mentioned in this report includes, but is not limited to:
- Cambricon
- Huawei
- Intel
- Qualcomm
- Siemens
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
- 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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