5G and edge computing are on the rise
The growing number of smart devices, the need for faster processing and the increased pressure on networks drive the edge computing market.
Edge computing, combined with 5G, creates opportunities to enhance digital experiences, improve performance, support data security and enable continuous operations in every industry. Edge computing brings computation and data storage closer to where data is created by people, places and things.
Gartner estimates that by 2025, 75 percent of data will be processed outside the traditional data center or cloud.1
Forward-looking companies want to unlock the potential of untapped data created by the growth of connected devices to seize new business opportunities, increase operational efficiency and improve customer experiences.
Edge computing can help address Industry 4.0 challenges and enable connected experiences.
Imagine that you’re a manufacturer and you’re trying to deal with the potential cost of outages in your production line—costs that might occur if any of your equipment goes down and stops the production process. Or imagine that you are an automobile manufacturer trying to engage your clients with a better driving experience. These industry examples can be enhanced and extended using edge computing.
In the past, the promise of cloud and AI was to automate and speed innovation by deriving actionable insights from data. However, the scale and complexity of data created by connected devices may strain network and infrastructure capabilities.
IDC predicts that by 2023, half of the newly deployed on-premises infrastructure will be in critical edge locations rather than corporate data centers, up from less than 10% today.2
Edge computing, combined with 5G, creates opportunities for new products, platforms and experiences in every industry
By leveraging the computational capacity of edge devices, gateways and networks, you can continue to take advantage of the principles of dynamic allocation of resources and continuous delivery that are inherent to cloud computing.
With edge computing, today’s businesses have the potential to virtualize the cloud beyond the four walls of the data center. Workloads created in the cloud, including some of the more modern forms of AI and analytics, can now be migrated out toward the edge. Where appropriate, data generated at the edge can be cleansed and optimized and brought back to the cloud.
Edge computing enables:
- Better data control and lower costs by minimizing data transport to central hubs and reducing vulnerabilities
- Faster insights and actions by tapping into more sources of data and processing that data at the edge
- Continuous operations by enabling systems that run autonomously, even when disconnected to reduce disruption and lower costs
IBM has a view of edge computing that spans many industries and multiple tiers, and includes open technologies and standards like Docker and Kubernetes.
The edge computing platform from IBM spans private cloud and enterprise environments and network compute spaces as well as on-premises gateways, controllers and servers, and intelligent devices such as robots, connected vehicles or other products.
Centrally, hyper-scale public clouds, hybrid clouds, colocated managed data centers and traditional enterprise IT data centers will continue to serve as aggregation points for data, analytics and back-end data processing.
Public, private and content-delivery networks are transforming from simple pipes to higher-value hosting environments for applications—a form of edge network cloud.