Driven by the development of Industry 4.0, a national strategic initiative from the German government, many countries have established smart manufacturing strategies, making it the most eye-catching topic in the global manufacturing industry. 2019 marks the commercial launch of 5G networks. With the aggressive efforts of 5G telecom operators and equipment vendors, it is believed that 5G will make a splash in smart manufacturing. However, reliability is the biggest concern for manufacturers. Since 5G NR Release-16 will not be released until late 2019, standards for industrial automation will not be completely ready until then.
This report presents the development of the global smart manufacturing industry, outlines three major 5G use cases in manufacturing, explores potential applications of 5G in smart manufacturing such as device monitoring, AR/VR (Augmented Reality/Virtual Reality), AGR/AMR (Automated Guided Vehicle)/(Autonomous Mobile Robot), digital twin, AI (Artificial Intelligence), and cybersecurity.
List of Topics:
- Development of 5G applications in the smart manufacturing sector and includes 5G market value forecast in this sector for the period 2020-2026
- Potential applications of 5G in smart manufacturing, touching on monitoring device, AR/VR, AGV/AMR, Digital Twin, AI, and cybersecurity
Table of Contents
1.5G Smart Manufacturing Market to Hit US$40 Billion in 2026
1.1 Increased Smart Manufacturing Applications in Verticals
1.2 Smart Manufacturing Made Easy with 5G
2.Three Primary 5G Use Cases in Manufacturing
3. Potential Applications of 5G in Smart Manufacturing
3.1 Device Monitoring
3.2 AR/VR
3.3 AGV/AMR
3.4 Digital Twin
3.4.1 Collect Product Data from Customers
3.4.2 Collect Simulation Data from Products under Production
3.4.3 Collect Data from Factory Facilities
3.5 AI
3.6 Cybersecurity
4. Author's Perspective
4.1 Difficulty in Measuring Short-term Benefits Deters Adoption of 5G
4.2 5G Meets Strict Requirements of Smart Manufacturing Applications
4.3 Manufacturers of Highly Added-value Products More Likely to Adopt 5G
Appendix
Glossary of Terms
List of Companies
List of Figures
Figure 1 5G Market Value in Smart Manufacturing Sector, 2020 - 2026
Figure 2 Three Primary 5G Use Cases in Manufacturing
Figure 3 Blisk Uses 5G to Create Blisks with Integrated Vibration Sensors
Figure 4 Boeing Uses 5G and AR Glasses to Facilitate Electrical Wiring on Aircrafts
Figure 5 Applications of AGVs and AMRs in Factories
Figure 6 Boeing’s Digital Twin Application
Figure 7 Virtual Wall by Intel, ABB, and HP
Samples
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Companies Mentioned (Partial List)
A selection of companies mentioned in this report includes, but is not limited to:
- ABB
- Belkin
- BLISK
- Boeing
- Docomo
- Ericsson
- HP
- Intel
- KT
- McAfee
- Nokia
- Qualcomm
- SKT
- Telia
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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