DUBLIN, May 26, 2023 (GLOBE NEWSWIRE) — The ‘Mobile Edge Computing Market 2023-2028 by Infrastructure, Deployment Model, Computing as a Service, Network Connectivity, Applications, Analysis Types, Market Segments and Industry Verticals 2023-2028’ report has been added to ResearchAndMarkets.com offerings .
This mobile edge computing market report evaluates the telecom and IT ecosystem in support of communications and computing infrastructure providers, managed service providers, network operators and OTT providers. This Edge Computing Market Analysis focuses on corporate strategies and offerings in relation to current and anticipated future market needs.
The report also provides a quantitative analysis of the MEC market including segmentation by industry, world region, application and services. It also provides MEC-based streaming data forecasting and real-time data analysis.
Select “Report Results”.
Mobile edge computing will be a key driver for immersive technologies deployed with 5G. The biggest opportunities are in teleoperation/cloud robotics, telepresence and virtual reality. The global mobile edge computing market for software and APIs will reach US$3.16 billion by 2028. IoT applications will reach US$721 million by 2028 worldwide. The biggest industry opportunities for MEC will be manufacturing, healthcare and automotive
Often used interchangeably, MEC refers to Mobile Edge Computing or Multi-Access Edge Computing, with the former being more geared towards cellular networks (LTE and 5G) and the latter terminology being adopted by standards groups to generalize edge computing to make it clear that This can also be used by WLAN and other wireless access technologies.
The distinction between multi-access edge computing and mobile edge computing for MEC largely ends with radio access and network type, as almost all other aspects are the same, including localization of computing (e.g. computation and storage closer to the end user) and virtualization of Network elements, software and service-oriented processes.
In cellular networks, edge computing over MEC is beneficial for LTE, but almost essential for 5G. This is because mobile edge computing enables optimization of fifth-generation network resources, including focusing communications and computing capacity where it’s needed most.
The author’s research indicates a strong connection between edge computing and 5G. Indeed, without MEC, 5G would continue to rely on backhaul to centralized cloud resources for storage and processing, negating much of the otherwise positive impact of the latency reduction that 5G enables.
Another driver for the multi-access edge computing market is that MEC will enable a whole new class of low-power devices for IoT networks and systems. These devices rely on MEC equipment for processing. In other words, some IoT devices will be very computationally lightweight and will rely on edge computing nodes for the majority of their computational needs.
Mobile Edge Computing Market Drivers
The fundamental question often asked by those unfamiliar with telecom networks and application optimization is: What is driving the need for edge computing in data centers? There are many reasons. However, the key areas for improvement in mobile edge computing are: throughput, congestion, latency, and backhaul. Other important considerations arising from these improvements are as follows:
Improved overall throughput: For example, tests between Saguna Networks and Vodafone showed significantly reduced waiting times and delays when watching videos.
Core Congestion Reduction: Associated with improved throughput is core congestion reduction. MEC enables users and devices to store and access much larger amounts of data by directly accessing the Internet, rather than relying on transport through the core of cellular networks.
Application Latency Reduction: Mobile edge computing will be particularly important for supporting Ultra-Reliable and Low-Latency Communication (URLLC) for latency-sensitive apps and services for various consumer, enterprise, and industrial use cases. The combination of 5G and MEC is expected to significantly reduce network latency, enabling many previously connected applications and services such as 4K video streaming, real-time remote control, haptic or tactile communication, and more.
Backhaul Reduction: Related to core congestion reduction, backhaul is reduced because processing may occur at the edge and not be routed back to centralized cloud computing core resources. This will be particularly important for 5G, which would continue to rely on backhaul to centralized cloud resources for storage and computing, negating much of the otherwise beneficial effects of latency reduction enabled by new 5G wireless technology.
Network Awareness and Context: By placing virtual network functions closer to the point of use, network operators can better determine context, leading to operational improvements and better use of localized data.
Streaming data and real-time analytics: Edge computing enables the delivery of large amounts of fast-moving data from sensors and devices. In many use cases, data is constantly flowing from the device or sensor to the network, and sometimes back to the device. In some cases these data streams are simply stored (for possible future use), in other cases there is a need for real-time data processing and analysis.
Network and application resiliency: Edge computing networks are distributed and therefore more resilient because there are many mini data centers instead of one or a few larger ones.
Main topics covered:
3. MEC Technology, Platforms and Architecture
3.1 Building blocks of the MEC platform architecture
3.2 Edge Cloud Computing Value Chain
3.3 Building blocks of MEC technology
3.4 MEC Technology Enabler
3.5 MEC Deployment Considerations
4. MEC Market Drivers and Opportunities
4.1 Cloud Convergence Limitations
4.2 Convergence of IT and telecommunications networks
4.3 Development of the base station
4.4 Cell Aggregation
4.5 Virtualization in the Cloud
4.6 Continuous improvement of server capacity
4.7 Data Center Network Interactions
4.8 Open and flexible app and service ecosystem
Fifth Generation 4.9 Wireless
4.10 Edge Cloud and Data Portability
4.11 Proximate Cloud Computing
4.12 Increasingly Faster Delivery of Content
4.13 Advantages of MEC Small Cell Deployment
4.14 Total Mobile Data Requirements
4.15 Low Latency Applications
4.16 Integration of MEC with Cloud RAN
4.17 MEC improves real-time data and analysis
4.17.1 Why Data at the Edge?
4.17.2 Convergence of Distributed Cloud and Big Data
5. MEC ecosystem
5.1 Entire Edge Computing Ecosystem
5.2 MEC Ecosystem Players
5.3 Individual Company Analysis
6. MEC Application and Service Strategies
6.1 Mobile Cloud Optimization
6.2 Context Aware Services
6.3 Data Services and Analytics
7. Multi-Access Edge Computing Deployment
8. Multi-Access Edge Computing Market Analysis and Forecasts
8.1 Mobile Edge Computing Markets by Component
8.2 Mobile Edge Computing Users by Supporting Network
8.3 Mobile Edge Computing Markets by Technology
8.4 Mobile Edge Computing Markets by Analysis Type
8.5 Mobile Edge Computing Markets by Application
8.6 Mobile Edge Computing by Market Segment
8.7 Mobile Edge Computing Markets by Industry
8.8 Regional Mobile Edge Computing Markets
9. Conclusions and recommendations
9.1 Anticipated Market Needs and Opportunities
9.2 Insights into future market dynamics
10. Appendix One: Earnings from real-time data analytics
11. MEC Case Studies
12. Appendix Two: 5G Technology and Solution Outlook
ADLINK Technology Inc.Advanced Micro DevicesAdvantechAffirmed NetworksAkamai TechnologiesAllot CommunicationsAT&TBrocade Communications SystemsCavium NetworksCeragon NetworksChina MobileChina UnicomCisco SystemsCloudifyCradlepointDeutsche TelekomEdgeConneXEdgeworxEricssonETRIFujitsu Technology SolutionsHewlett Packard Enterprise (HPE)Huawei Technologies Co. Ltd.IBM CorporationIntegrated Device TechnologyIntel CorporationInterDigital Inc. I TRIJuniper NetworksMimic TechnologyMobiledgeX (Google)NEC CorporationNokia CorporationNTT CommunicationsNTT DoCoMoOrangeOriPeerApp Ltd .PixeomPluribus NetworksQuortusRedhat, Inc.Saguna NetworksSamsung Electronics Co. Ltd.SK TelecomSony CorporationSpiderCloud Wireless TelefonicaTIMVapor IOVasona Networks (ZephyrTel)VerizonViavi SolutionsVodafoneXilinx, Inc.Yaana Ltd.ZTE Corporation
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