DUBLIN–(BUSINESS WIRE)–The “Mobile Edge Computing Market by Infrastructure, Deployment Model, Computing as a Service, Network Connectivity, Applications, Analytics Types, Market Segments and Industry Verticals 2023 – 2028” report has been added to ResearchAndMarkets.com’s offering.
This mobile edge computing market report evaluates the telecom and IT ecosystem in support of communications and computing infrastructure providers, managed services vendors, carriers, and OTT providers. This edge computing market analysis includes a focus on company strategies and offerings relative to current and anticipated future market needs.
The report 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.
Select Report Findings
- Mobile edge computing will be a key enabler of immersive technologies deployed with 5G
- Greatest opportunities will be in teleoperation/cloud robotics, telepresence, and virtual reality
- The global mobile edge computing market for software and APIs will reach $3.16 billion by 2028
- The market for MEC software in support of IoT applications will reach $721 million globally by 2028
- The largest industry vertical opportunities for MEC will be manufacturing, healthcare and automobile
Often used synonymously, MEC refers to Mobile Edge Computing or Multi-Access Edge Computing with the former being more cellular network-centric (LTE and 5G) and the latter terminology adopted by standards groups to generalize edge computing to reflect that it may be also be used by WiFi and other wireless access technologies.
The distinction between Multi-Access Edge Computing vs. Mobile Edge Computing for MEC largely ends with radio access and network type as almost every other aspect is the same including localizing computing (e.g. computation and storage closer to the end-user), network element virtualization, software, and service-centric operations.
In cellular networks, edge computing via MEC is beneficial for LTE but virtually essential for 5G. This is because Mobile Edge Computing facilitates optimization of fifth generation network resources including focusing communications and computational capacity where it is needed the most.
The author’s research findings indicate a strong relationship between edge computing and 5G. In fact, if it were not for MEC, 5G would continue to rely upon back-haul to centralized cloud resources for storage and computing, diminishing much of the otherwise positive impact of latency reduction enabled by 5G.
Another driver for the multi-access edge computing market is that MEC will facilitate an entirely new class of low-power devices for IoT networks and systems. These devices will rely upon MEC equipment for processing. Stated differently, some IoT devices will be very lightweight computationally speaking, relying upon edge computing nodes for most of their computation needs.
Key Topics Covered:
1. Executive Summary
2. Introduction
3. MEC Technology, Platforms, and Architecture
3.1 MEC Platform Architecture Building Blocks
3.2 Edge Cloud Computing Value Chain
3.3 MEC Technology Building Blocks
3.4 MEC Technology Enablers
3.5 MEC Deployment Considerations
4. MEC Market Drivers and Opportunities
4.1 Limitations of Cloud Convergence
4.2 IT and Telecom Network Convergence
4.3 Base Station Evolution
4.4 Cell Aggregation
4.5 Virtualization in the Cloud
4.6 Continually Improving Server Capacity
4.7 Data Center to Network Interactions
4.8 Open and Flexible App and Service Ecosystem
4.9 Fifth Generation Wireless
4.10 Edge Cloud and Data Transferability
4.11 Proximate Cloud Computing
4.12 Increasingly Faster Content Delivery
4.13 Advantages of MEC Small Cell Deployment
4.14 Overall Mobile Data Demand
4.15 Low Latency Applications
4.16 Integration of MEC with Cloud RAN
4.17 MEC Enhances Real-time Data and Analytics
4.17.1 Why Data at the Edge?
4.17.2 Convergence of Distributed Cloud and Big Data
5. MEC Ecosystem
5.1 Overall Edge Computing Ecosystem
5.2 MEC Ecosystem Players
5.3 Individual Company Analysis
6. MEC Application and Service Strategies
6.1 Optimizing the Mobile Cloud
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 Components
8.2 Mobile Edge Computing Users by Supporting Network
8.3 Mobile Edge Computing Markets by Technology
8.4 Mobile Edge Computing Markets by Analytics Type
8.5 Mobile Edge Computing Markets by Applications
8.6 Mobile Edge Computing by Market Segment
8.7 Mobile Edge Computing Markets by Industry Vertical
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: Real-time Data Analytics Revenue
11. MEC Case Studies
12. Appendix Two: 5G Technology and Solution Outlook
Companies Mentioned
- ADLINK Technology Inc.
- Advanced Micro Devices
- Advantech
- Affirmed Networks
- Akamai Technologies
- Allot Communications
- AT&T
- Brocade Communications Systems
- Cavium Networks
- Ceragon Networks
- China Mobile
- China Unicom
- Cisco Systems
- Cloudify
- Cradlepoint
- Deutsche Telekom
- EdgeConneX
- Edgeworx
- Ericsson
- ETRI
- Fujitsu Technology Solutions
- Hewlett Packard Enterprise (HPE)
- Huawei Technologies Co. Ltd.
- IBM Corporation
- Integrated Device Technology
- Intel Corporation
- InterDigital Inc.
- ITRI
- Juniper Networks
- Mimic Technology
- MobiledgeX (Google)
- NEC Corporation
- Nokia Corporation
- NTT Communications
- NTT DoCoMo
- Orange
- Ori
- PeerApp Ltd.
- Pixeom
- Pluribus Networks
- Quortus
- Redhat, Inc.
- Saguna Networks
- Samsung Electronics Co. Ltd.
- SK Telecom
- Sony Corporation
- SpiderCloud Wireless
- Telefonica
- TIM
- Vapor IO
- Vasona Networks (ZephyrTel)
- Verizon
- Viavi Solutions
- Vodafone
- Xilinx, Inc.
- Yaana Ltd.
- ZTE Corporation
For more information about this report visit https://www.researchandmarkets.com/r/7jgzcz
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