Combination Report of Mobile Edge Computing and Network Slicing Optimizes Networks, Apps, and Services, 2018-2023

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Nov 12, 2018, 12:30 ET

DUBLIN, Nov. 12, 2018 /PRNewswire/ --

The "5G Optimization: Mobile Edge Computing and Network Slicing 2018 - 2023" report has been added to ResearchAndMarkets.com's offering.

This research evaluates the telecom and IT ecosystem in support of MEC including communications and 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.

The report also provides quantitative analysis of the Mobile Edge Computing 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.

One of the most important aspects of 5G is the ability to optimize network usage as well as applications and services. The use cases for future 5G enabled apps and services are many and varied in terms of type, industry vertical focus, and requirements. Correspondingly, each scenario will have its own requirements and associated network configuration needs.

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 QoS configuration.

An essential component of 5G networks, Mobile Edge Computing (MEC) facilitates optimization of fifth generation network resources including focusing communications and computational capacity where it is needed the most. Without MEC, 5G would continue to rely upon back-haul to centralized cloud resource for storage and computing, diminishing much of the otherwise positive impact of latency reduction enabled by 5G.

In other words, MEC enables users and devices to store/access much higher volumes of data by way of direct access to the Internet rather than relying upon transport through the core of cellular networks.

This research also evaluates enabling technologies and the market outlook for 5G Network slicing. The report provides analysis of the market opportunities including Configuration Management, Performance Management, Service Level Agreements, and more. The report 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.

In addition, it provides an assessment of major segments such as 5G Network Slicing in consumer, enterprise, and industrial IoT. The report includes global forecasts for each area covered as well as regional estimates for 5G Network Slicing by Segment, RF Band, Application, and Industry Vertical through 2023.

Target Audience:

Mobile Network Operators
API management companies
SDN and virtualization vendors
Telecom managed service providers
Wireless/mobile infrastructure providers
Software, Application, and Content Providers
RAN, Cloud Computing, and MEC R&D organizations
Cloud and Cloudlet infrastructure and service providers

Key Topics Covered:

Mobile Edge Computing Market 2018 - 2023

1.0 Executive Summary
1.1 Global Market for Multi Access Edge Computing
1.2 Regional Markets for Multi Access Edge Computing

2.0 Introduction
2.1 Understanding Multi-access Edge Computing
2.1.1 Edge Computing in an ICT Context
2.1.2 Proximity Computing: The Edge in Physical and Logical Context
2.1.3 Edge Computing vs. Other Computational Approaches
2.1.4 Multi-access Edge Computing
2.2 Important Characteristics of MEC
2.2.1 Processing at the Edge
2.2.2 Low Latency
2.2.3 Context Based
2.2.4 Location and Analytics
2.3 MEC Benefits
2.3.1 Business Benefits
2.3.2 Technical Benefits
2.3.3 Mobile Network Operator Benefits
2.3.4 Key Element of Carrier Heterogeneous Network Strategy

3.0 MEC Technology, Platforms, and Architecture
3.1 MEC Platform Architecture Building Blocks
3.1.1 MEC Infrastructure
3.1.2 MEC Application Platforms
3.1.3 MEC Management Framework
3.2 The Edge Cloud Computing Value Chain
3.3 MEC Technology Building Blocks
3.3.1 Radio Network Information Service
3.3.2 Traffic Offload Function
3.3.3 MEC Interfaces
3.3.4 Configuration Management
3.3.5 Application Lifecycle Management
3.3.6 VM Operations and Management
3.3.7 Hardware Virtualization and Infrastructure Management
3.3.8 Core Network Elements
3.3.9 Open Standards
3.4 MEC Technology Enablers
3.4.1 Mobile Computing to Mobile Cloud Computing
3.4.2 Cloudlet based Mobile Cloud Computing
3.4.3 Cloudlet to Cloud
3.4.4 PacketCloud Open Platform for Cloudlets
3.4.5 Enterprise Cloud Architecture
3.4.6 Cloudlet Solutions
3.4.7 Cloudlet Storage Frameworks
3.5 MEC Deployment Considerations
3.5.1 MEC Implementation Challenges
3.5.2 MEC Operational Challenges

4.0 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 (5G) 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

5.0 MEC Ecosystem
5.1 The Overall Edge Computing Ecosystem
5.2 MEC Ecosystem Players
5.2.1 ETSI MEC ISG
5.2.2 Software and ASPs
5.2.3 OTT Service and Content Providers
5.2.4 Network Infrastructure and Equipment Providers
5.2.5 Mobile Network Operators
5.3 Individual Company Analysis
5.3.1 ADLINK Technology Inc.
5.3.2 Advantech
5.3.3 Akamai Technologies
5.3.4 Allot Communications
5.3.5 Advanced Micro Devices
5.3.6 Brocade Communications Systems
5.3.7 Cavium Networks
5.3.8 Ceragon Networks
5.3.9 Cisco Systems
5.3.10 Fujitsu Technology Solutions
5.3.11 Hewlett Packard Enterprise
5.3.12 Huawei Technologies Co. Ltd.
5.3.13 IBM Corporation
5.3.14 Integrated Device Technology
5.3.15 Intel Corporation
5.3.16 InterDigital Inc.
5.3.17 Juniper Networks
5.3.18 NEC Corporation
5.3.19 Nokia Corporation
5.3.20 PeerApp Ltd.
5.3.21 Quortus
5.3.22 Redhat, Inc.
5.3.23 Saguna Networks
5.3.24 Samsung Electronics Co., Ltd.
5.3.25 Sony Corporation
5.3.26 SpiderCloud Wireless
5.3.27 Vasona Networks
5.3.28 Xilinx, Inc.
5.3.29 Yaana Ltd.
5.3.30 ZTE Corporation

6.0 MEC Application and Service Strategies
6.1 Optimizing the Mobile Cloud
6.1.1 Mobile Network Operator Strategies
6.1.2 Service Strategies and End-user Demand
6.2 Context Aware Services
6.2.1 Commerce
6.2.2 Education
6.2.3 Gaming
6.2.4 Healthcare
6.2.5 Location-based Services
6.2.6 Public Safety
6.2.7 Connected Vehicles
6.2.8 Wearables
6.3 Data Services and Analytics
6.3.1 Localized Real-time Data Becomes King
6.3.2 Anonymizing Local and Real-time Data for Third-party Usage
6.3.3 Increasing Demand for Data as a Service (DaaS) in MEC Environment

7.0 Forecasts Mobile Edge Computing 2019 - 2025
7.1 Mobile Edge Computing Markets by Components
7.1.1 Mobile Edge Computing Cloud Server Market by Category
7.1.2 Mobile Edge Computing Equipment Market by Category ($ Millions)
7.1.3 Mobile Edge Computing Platform Market by Category ($ Millions)
7.1.4 Mobile Edge Computing Software & API Market in Vertical Segment ($ Millions)
7.1.5 Mobile Edge Computing As a Service Market by Type
7.2 Forecasts by Number of Mobile Edge Computing Users by Supporting Network
7.3 Mobile Edge Computing Markets by the End Use Technology
7.3.1 Mobile Edge Computing Markets by Analytics Type
7.4 Mobile Edge Computing Markets by Applications
7.5 Mobile Edge Computing Markets by End-Users
7.6 Mobile Edge Computing Markets by Industry
7.7 Geographical Markets for Mobile Edge Computing
7.7.1 North America
7.7.2 Europe
7.7.3 APAC

8.0 Appendix One: Real-time Data Analytics Revenue
8.1 Global Streaming Data Analytics Revenue
8.2 Global Real-time Data Analytics Revenue by App, Software, and Services
8.3 Global Real-time Data Analytics Revenue in Industry Verticals
8.3.1 Real-time Data Analytics Revenue in Retail
8.3.2 Real-time Data Analytics Revenue in Telecom and IT
8.3.3 Real-time Data Analytics Revenue in Energy and Utility
8.3.4 Real-time Data Analytics Revenue in Government
8.3.5 Real-time Data Analytics Revenue in Healthcare and Life Science
8.3.6 Real-time Data Analytics Revenue in Manufacturing
8.3.7 Real-time Data Analytics Revenue in Transportation and Logistics
8.3.8 Real-time Data Analytics Revenue in Banking and Finance
8.3.9 Real-time Data Analytics Revenue in Smart Cities
8.3.10 Real-time Data Analytics Revenue in Automotive
8.3.11 Real-time Data Analytics Revenue in Education
8.3.12 Real-time Data Analytics Revenue in Outsourcing Services
8.4 Real-time Data Analytics Revenue by Leading Vendor Platform
8.4.1 Global Investment in Data by Industry Sector

9.0 Appendix Two: 5G Technology and Solution Outlook
9.1 Market Definition of 5G
9.2 Evolution of Mobile Communication Standards (1G to 5G)
9.3 Introduction to 5G Technology
9.4 5G Spectrum Options and Utilization
9.5 What can 5G Technology Offer?
9.5.1 5G Network will Facilitate Faster and Less Expensive Services
9.6 Key Advantages and Growth Drivers of 5G
9.7 Challenges for 5G
9.7.1 Consistent Growth in Technology Requirements and Service Characteristics
9.7.2 Standardization Challenges
9.7.3 Network Challenges
9.7.4 Mobile Device Challenges
9.7.5 Application Challenges
9.8 5G Roadmap
9.8.1 5G Requirements
9.8.2 5G Wireless Subsystem
9.8.3 Network Virtualization & Software Networks
9.8.4 Converged Connectivity
9.9 5G Use Cases
9.9.1 5G in M2M and IoT
9.9.2 5G in Robotics
9.9.3 5G in Augmented and Virtual Reality
9.9.4 5G in Home Internet
9.9.5 5G in Wireless Office
9.9.6 Other Use Cases
9.9.6.1 High Speed Train
9.9.6.2 Remote Computing
9.9.6.3 Non-Stationary Hot Spots
9.9.6.4 3D Connectivity: Aircraft
9.9.6.5 Natural Disaster
9.9.6.6 Public Safety
9.9.6.7 Context Aware Service
9.10 Business Opportunities

Network Slicing in 5G Networks 2018 - 2023

1 Executive Summary

2 Introduction
2.1 Network Slicing
2.2 Enabling Technologies
2.2.1 Software Defined Networks (SDN)
2.2.2 Network Function Virtualization (NFV)
2.2.3 SDN and NFV Synergies for 5G Service Classes

3 5G Network Slicing Market Analysis and Forecasts
3.1 Global Market Forecast 2018 - 2023
3.1.1 Total 5G Network Slicing Market
3.1.2 5G Network Slicing Market by Segment
3.1.2.1 5G Network Slicing Technology Market
3.1.2.2 5G Network Slicing RF Components Market
3.1.2.3 5G Network Slicing Service Market
3.1.2.3.1 5G Network Slicing Professional Service Market
3.1.2.3.2 5G Network Slicing Network Management Service Market
3.1.2.3.3 5G Network Slicing QoE Service Market by Clients
3.1.2.3.4 5G Network Slicing Management Service Market
3.1.2.3.5 5G Network Slicing Life Cycle Management Service Market
3.1.2.3.6 5G Network Slicing Configuration Management Service Market
3.1.2.3.7 5G Network Slicing Performance Management Service Market
3.1.2.3.8 5G Network Slicing SLA Service Clients Market
3.1.2.3.9 5G Network Slicing Network Orchestration Service Market
3.1.3 5G Network Slicing Market by RF Spectrum Bands
3.1.4 5G Network Slicing Application Market
3.1.4.1 5G Network Slicing Consumer IoT Application Market
3.1.4.2 5G Network Slicing Enterprise/Industrial IoT Application Market
3.1.4.2.1 5G Network Slicing Smart Manufacturing Application Market
3.1.5 5G Network Slicing Market by Industry Vertical
3.2 Regional Market Forecast 2018 - 2023

4 Conclusions and Recommendations

For more information about this report visit https://www.researchandmarkets.com/research/gn4jj7/combination?w=5

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