Global Experiential Networking Market Report 2020-2025: Essential Support, Maintenance, and Training for Experiential Networking will Reach $42M Globally
DUBLIN, Dec. 17, 2020 /PRNewswire/ -- The "Experiential Networking Market by Technology, Use Case, and Solutions 2020 - 2025" report has been added to ResearchAndMarkets.com's offering.
This report investigates experiential networking market opportunities. The report evaluates companies anticipated to be influential in ENI as well as market positioning and strategies. It includes analysis by technology, use case, and solution. It also assesses experiential networking market opportunities by industry vertical. Quantitative analysis includes global and regional forecasts as well as by leading countries within each region for 2020 through 2025. The report also provides specific recommendations across the ICT and digital technology ecosystem relative to ENI.
More tangibly speaking, ENI is intended to de-risk Service Level Agreement (SLA) commitments by removing errors in key human-machine interfaces as well as automating important decision functions such as resource allocation and prioritization necessary to uphold SLAs in support of Quality of Service (QoS) and Quality of Experience (QoE) requirements. As previously mentioned, ENI will use a data-driven approach, using AI and data analytics for automated decision making. For instances requiring human interaction, the experiential networking market incorporates cognitive computing to enhance decision making. This can be important for delicate areas such as balancing network QoS with end-user QoE, which are sometimes mutually exclusive goals.
Use cases within the experiential networking market range from optimizing existing communications service provider applications to offering completely new business customer solutions focused on stringent QoS requirements. Many of these use cases will involve data and decision-making from many sources including the LTE and 5G RAN as well as core network capabilities such as network slicing. Networks will also benefit by including mobile edge computing infrastructure and systems. Specific use cases include intelligent carrier-managed SD-WAN, optimized 5G network slicing management, automatic address allocation for operation IP managed networks, and RF coverage and capacity optimization.
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SOURCE Research and Markets