Frost Radar – What Are the Growth Drivers of Private Multi-Access Edge Computing in Asia-Pacific?
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Overview
Edge computing pushes intelligence, data processing, analytics, and communication capabilities to where the data originates: at network gateways or endpoints. The aim is to reduce latency and ensure efficient networks, operations, and service delivery, and an improved user experience. By bringing computing closer to the data source, edge computing enables latency-sensitive computing and greater business agility through better control and faster analysis. It also lowers operating expenses, resulting in more efficient network bandwidth support.
Private multi-access edge computing (MEC) is a private mobile network deployment with edge computing capabilities that is custom-built for enterprises. It enables an infrastructure that runs mission-critical and latency-sensitive applications by offering ultra-low latency levels (less than 10 milliseconds). Enterprises usually have a choice of two models: either paying upfront for the hardware and the installation charges of the macro cell tower and MEC and then a lower monthly recurring charge for the services provided, or paying for everything as-a-service with no or minimal upfront costs.
- What are the growth avenues for private mobile network deployments with edge computing capabilities that are custom-built for enterprises?
- How can your team optimize growth strategies and approaches that can be ideal for industrial automation, smart factories, and other applications demanding real-time control and stringent data privacy?
- How can you achieve growth by leveraging private MEC, which provides superior control over data and applications, heightened security because of physical isolation, and ultralow latency for real-time operations?
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