The implementation and integration of edge computing and emerging communication technologies is the last mile towards achieving crucial intelligent applications in the manufacturing industry for leading manufacturers. This is due to the fact that intelligent manufacturing applications, such as predictive maintenance, heterogeneous device collaboration, and MR (Mixed Reality)/AR (Augmented Reality) inspection, can only be effectively realized utilizing low-latency and high-reliability features of edge computing and emerging communication technologies.
This report provides insights into the development of edge computing and emerging communication technologies, explores future innovations in smart manufacturing applications, and addresses challenges and opportunities faced by stakeholders in the smart manufacturing industry.
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Table of Contents
1. Low Latency and High Reliability Features Ideal for Smart Manufacturing
1.1 Defining Edge Computing from the Perspective of Data Flow
1.1.1 Sensor
1.1.2 IoT Device
1.1.3 Edge Node
1.1.4 Networking Device
1.1.5 On Premise / Cloud Server
1.2 Scope of Edge Computing
2. Development of Edge Computing in Smart Manufacturing
2.1 Leading Brands & Development of Edge Computing in Smart Manufacturing
2.1.1 Nvidia
2.1.2 AWS (Amazon Web Service)
2.1.3 Google
2.1.4 IBM
2.1.5 Microsoft
2.2 Key Developments of Edge Computing in Smart Manufacturing Technologies
2.2.1 Sensors and IoT Devices: Emphasizing Reduced Power Consumption
2.2.2 Edge Nodes: Widespread Adoption of AI Chips for Enhanced Production Flexibility
2.2.3 Industry Standards: Interoperability Achieved through Specification Compatibility of Heterogeneous Devices
3. Analysis of Emerging Wireless Communication Technologies in Smart Manufacturing
3.1 LPWAN: Energy-Efficient and Suitable for Non-Real Time Applications
3.2 Wi-Fi 6: Lower Deployment Costs and Suitable for Some Low-Latency Applications
3.3 Private 5G Network: High Deployment Costs but Meets the Minimum Requirements for Latency
4. Opportunities and Challenges in Edge Computing and Emerging Communication Technologies
4.1 Opportunity: Flexible Production, Overcoming Data Export Bottlenecks, and Driving Demand for Sensing and Low Latency
4.2 Challenge: Expensive 5G Deployments and Difficulties in Edge System Operations and Maintenance
5. Analyst Perspective
Appendix
List of Companies
List of Tables
Table 1: Minimum Latency Tolerance for Various Smart Manufacturing Applications
Table 2: A Comparison of 5G, Wi-Fi 6, and LPWAN in Manufacturing Application Scenarios
List of Figures
Figure 1: IBM's Quadruped Robot with Real-time AI Visual Recognition Capability Using Edge Computing
Figure 2: Example of Heterogeneous Network Environment with Edge Computing and Emerging Communication Technologies
Companies Mentioned (Partial List)
A selection of companies mentioned in this report includes, but is not limited to:
- AWS
- Boston Dynamics
- IBM
- Intel
- Microsoft
- Nvidia
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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