Market Research Report
5G Optimization by Network Slicing, Mobile Edge Computing, and Intent Based Networking 2019 - 2024
|Published by||Mind Commerce||Product code||737971|
|Published||Content info||298 Pages
Delivery time: 1-2 business days
|5G Optimization by Network Slicing, Mobile Edge Computing, and Intent Based Networking 2019 - 2024|
|Published: August 22, 2019||Content info: 298 Pages||
Communication service providers must take into account use case specific requirements and parameters, which at the highest level is broken down into three distinct 5G service categories. One of the more important challenges with 5G is juggling multiple requirements found within each category, which are also often mutually exclusive. For example, URRLC applications require high reliability (e.g. works exactly as it is supposed to work exactly when it's needed) yet also require very low latency and very high bandwidth.
Achieving all three of these in support of quality of service and quality of experience requirements for demanding customers such as smart factories will be a major challenge for service providers. 5G network slicing provides a means by which each of these different use cases may have its own portion of available frequently and associated assignable Quality of Service and/or Quality of Experience configuration. 5G network slicing enables communication service providers to balance the disparate requirements between eMBB, URLLC, and mMTC applications such as availability/reliability, bandwidth, connectivity, cost, elasticity, and latency.
In cellular networks, edge computing via Mobile Edge Computing (MEC) is beneficial for LTE, but virtually essential for 5G. This is because MEC facilitates optimization of fifth generation network resources including focusing communications and computational capacity where it is needed the most. As with network slicing, MEC platforms must be accessible for application administration including provisioning of computational resources as well as orchestration of edge computing and network slicing allocations. This will be absolutely essential to manage the unique and evolving needs of many enterprise, industrial, and government clients, whether they be served legacy carriers, or operate their own private wireless networks.
Another one of the key capabilities identified by Mind Commerce is the ability to monitor, identify and react in real time to changing network conditions. This pertains to network (and related apps and services) provisioning and administration as well as proactively and autonomously managing change in operational conditions. Intent based networking provides the ability for network orchestration automation, including software that may implement changes autonomously. Networks are increasingly becoming more self-aware and capable of dynamic optimization, often in real-time. In some cases changes are made to enhance a current state. In other cases, remediation is required to adjust a sub-optimal condition or situation that has gone awry.
This research evaluates enabling technologies and the market outlook for 5G Network slicing. It provides analysis of the market opportunities including Configuration Management, Performance Management, Service Level Agreements, and more. It also includes 5G Network Slicing by specific use cases such as Smart Manufacturing, which includes Remote Monitoring, Supply Chain Management, Asset Management, Real-Time Monitoring, and Network Monitoring. This includes market sizing through 2024.
This research also evaluates the 5G ecosystem including Mobile Edge Computing (MEC) computing infrastructure providers, managed services vendors, carriers and OTT providers. Our MEC analysis includes a focus on company strategies and offerings relative to current and anticipated future market needs. Mind Commerce also provides quantitative analysis of the MEC market including segmentation by industry vertical, region of the world, application and services. It also provides forecasts for MEC based streaming data and real-time data analytics.
This research also provides market forecasts for 2019 to 2024 globally and regionally as well as by technology and solution. This includes Infrastructure (Hardware, Software, Components, and Services - further broken down by programs, API, and SDK), Solutions/Applications, Deployment Type, Degree of Virtualization (Physical Network, Virtual Network, and Hybrid Network), Network Type (WAN, MAN, LAN, PAN), Connection Type (Wired and Wireless - further broken down by 3G, LTE, and 5G), Artificial Intelligence Type (Deep Machine Learning, Deep Neural Network, Machine Vision System, Predictive Analytics, NLP and Voice Recognition), Organization Type (SMB, Enterprise, Government), and Industry Verticals (Automotive, Financial, Government, Healthcare, Manufacturing/Automation, Telecom and IT, and more).
Additionally, it provides quantitative analysis and forecasts for the impact of edge computing and IoT upon the intent driven networking market. This includes both Cellular/3GPP NB-IoT and non-cellular LPWAN (i.e. Sigfox, LoRa, Weightless, Ingenu). It also provides quantitative analysis and forecasts for the market for securing IBN (e.g. the intent driven networking security market). It includes quantitative analysis and forecasts for special integration areas such as IBN support for networking involved with autonomous vehicles, smart cities, and more.