5G and Edge Computing—Cloud Workloads Shifting to the Edge, Forecast to 2024

5G and Edge Computing—Cloud Workloads Shifting to the Edge, Forecast to 2024

Multi-access Edge Computing (MEC) Deployments to Proliferate as Applications Demand Decentralized Computing

RELEASE DATE
17-Aug-2020
REGION
North America
Research Code: K540-01-00-00-00
SKU: TE03959-NA-MT_24643
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Description

The term 'Edge Computing' refers to computing that pushes intelligence, data processing, analytics, and communication capabilities down to where the data originates, that is, at network gateways or directly at endpoints. The aim is to reduce latency, ensure highly efficient networks and operations, as well as service delivery and an improved user experience. By extending computing closer to the data source, edge computing enables latency-sensitive computing, offers greater business agility through better control and faster insights, lowers operating expenses, and results in more efficient network bandwidth support. Key characteristics of edge computing include:
• Computing power in the network or 'on-premises'
• Proximity
• Real-time data processing
• Wide geo-distribution

There have been 3 major computing revolutions in industrial applications—mainframe, client server, and cloud computing. Taking up where these paradigms left off, edge computing is establishing itself as a foundational technology for industrial enterprises with its shorter latencies, robust security, responsive data collection, and lower costs. It is extremely relevant in the current hyper-connected industrial environment, as its solution-agnostic nature enables its use across a range of applications, including autonomous assets, remote asset monitoring, data extraction from stranded assets, autonomous robotics, autonomous vehicles, smart factories, oilfield operations management, machine monitoring and smart campuses.

The multi-access edge computing (MEC) market is still at nascent stage, with telecom operators and cloud providers conducting trials and, in certain cases, agreements to launch commercial offerings. The recent launch of 5G technology with much lower latency and higher capacity, coupled with MEC, brings computing power closer to customers, driving new applications and experiences. Operators are now deploying smaller data centers in the network edge, closer to customers, optimizing applications performance. However, telecom operators cannot implement and manage MEC alone. They must establish partnerships and an application ecosystem to seize this growth opportunity. Thus, operators are partnering with cloud providers such as Amazon Web Services (AWS), Microsoft Azure, Google Cloud, and IBM Cloud to improve the performance of existing mission-critical applications, and enable new applications over wireless networks.

This market influences growth opportunities in a variety of areas, for both consumer and enterprise use cases, where the low-latency requirements for connectivity are essential for applications and user experience. For consumers, there are innovative applications such as 5G gaming and augmented reality (AR), virtual reality (VR), and ultra-high-definition (UHD) streaming. For enterprises, telecom operators are deploying private wireless networks to enable Manufacturing 4.0, automated mining, precision agriculture, Industrial Internet of Things (IIoT), and other compelling use cases. Frost & Sullivan anticipates that approximately 90% of industrial enterprises will utilize edge computing by 2022, and a majority of the data will be processed in the edge even before 5G coverage reaches higher levels and use cases mature. The geographic coverage of this Frost & Sullivan MEC study is global, and the study period is from 2019 to 2024.

Author: Renato Pasquini

RESEARCH: INFOGRAPHIC

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Table of Contents

Why Is It Increasingly Difficult to Grow?

The Strategic Imperative 8™

The Impact of the Top Three Strategic Imperatives on MEC

Growth Opportunities Fuel the Growth Pipeline Engine™

Market Definitions: Scope of Analysis

Market Definitions: Edge Computing and MEC Concepts

Market Definitions: Historic Computing Revolutions

MEC Market Segmentation

Key Competitors for MEC

Three Core Elements of 5G: eMBB, UMTC, and MMTC

Key Questions this Study will Answer

Key Growth Metrics for Multi-access Edge Computing

Growth Environment

Growth Drivers for MEC

Growth Restraints for MEC

Forecast Assumptions

Revenue Forecast: Multi-access Edge Computing

Revenue Forecast by Type: Multi-access Edge Computing

Revenue Forecast by Segment: Multi-access Edge Computing

Revenue Forecast Analysis by Type: Multi-access Edge Computing

Revenue Forecast by Segment Analysis: Multi-access Edge Computing

Competitive Environment: Multi-access Edge Computing

Agreements for Cooperation in MEC Standardization and Interoperability

Service Provider Mobile Revenue Mix

AT&T’s Multi-Access Edge Computing Profile

AT&T’s Multi-Access Edge Computing Profile (continued)

AT&T’s Multi-Access Edge Computing Profile (continued)

China Mobile’s Multi-Access Edge Computing Profile

China Mobile’s Multi-Access Edge Computing Profile (continued)

China Mobile’s Multi-Access Edge Computing Profile (continued)

Telefonica’s Multi-Access Edge Computing Profile

Telefonica’s Multi-Access Edge Computing Profile (continued)

Telefonica’s Multi-Access Edge Computing Profile (continued)

KT Corp’s Multi-Access Edge Computing Profile

KT Corp’s Multi-Access Edge Computing Profile (continued)

KT Corp’s Multi-Access Edge Computing Profile (continued)

Verizon’s Multi-Access Edge Computing Profile

Verizon’s Multi-Access Edge Computing Profile (continued)

Verizon’s Multi-Access Edge Computing Profile (continued)

Vodafone’s Multi-Access Edge Computing Profile

Vodafone’s Multi-Access Edge Computing Profile (continued)

Vodafone’s Multi-Access Edge Computing Profile (continued)

AWS Multi-Access Edge Computing Profile

Google Cloud Multi-Access Edge Computing Profile

IBM Multi-Access Edge Computing Profile

MS Azure Multi-Access Edge Computing Profile

Intel Multi-Access Edge Computing Profile

Cisco Multi-Access Edge Computing Profile

Growth Opportunities

Growth Opportunities (continued)

Growth Opportunity 1: Mobile Gaming for Interactive and Networked Entertainment

Growth Opportunity 1: Mobile Gaming for Interactive and Networked Entertainment (continued)

Growth Opportunity 1: Mobile Gaming for Interactive and Networked Entertainment (continued)

Growth Opportunity 2: Connected/Autonomous Vehicles for More Efficient Transportation and Zero Accidents

Growth Opportunity 2: Connected/Autonomous Vehicles for More Efficient Transportation and Zero Accidents (continued)

Growth Opportunity 2: Connected/Autonomous Vehicles for More Efficient Transportation and Zero Accidents (continued)

Growth Opportunity 2: Connected/Autonomous Vehicles for More Efficient Transportation and Zero Accidents (continued)

Growth Opportunity 3: AR and VR for Immersive Experiences and Augmentation of Human Cognition

Growth Opportunity 3: AR and VR for Immersive Experiences and Augmentation of Human Cognition (continued)

Growth Opportunity 3: AR and VR for Immersive Experiences and Augmentation of Human Cognition (continued)

Growth Opportunity 4: UHD Video Streaming to Support the Increased Video On-demand Consumption on Mobile

Growth Opportunity 4: UHD Video Streaming to Support the Increased Video On-demand Consumption on Mobile (continued)

Growth Opportunity 4: UHD Video Streaming to Support the Increased Video On-demand Consumption on Mobile (continued)

Growth Opportunity 5: IoT/AI/ML Inferencing for Real Time Video Analytics and Other Analytics Solutions as a Service

Growth Opportunity 5: IoT/AI/ML Inferencing for Real Time Video Analytics and Other Analytics Solutions as a Service (continued)

Growth Opportunity 5: IoT/AI/ML Inferencing for Real Time Video Analytics and Other Analytics Solutions as a Service (continued)

Growth Opportunity 6: Industry 4.0 Solutions for Increased Productivity and Zero Accidents

Growth Opportunity 6: Industry 4.0 Solutions for Increased Productivity and Zero Accidents (continued)

Growth Opportunity 6: Industry 4.0 Solutions for Increased Productivity and Zero Accidents (continued)

Growth Opportunity 7: Smart City Applications for Serving Citizens Better and Reducing Costs and CO2 Emissions

Growth Opportunity 7: Smart City Applications for Serving Citizens Better and Reducing Costs and CO2 Emissions (continued)

Growth Opportunity 7: Smart City Applications for Serving Citizens Better and Reducing Costs and CO2 Emissions (continued)

Your Next Steps

Why Frost, Why Now?

List of Exhibits

Legal Disclaimer

The term 'Edge Computing' refers to computing that pushes intelligence, data processing, analytics, and communication capabilities down to where the data originates, that is, at network gateways or directly at endpoints. The aim is to reduce latency, ensure highly efficient networks and operations, as well as service delivery and an improved user experience. By extending computing closer to the data source, edge computing enables latency-sensitive computing, offers greater business agility through better control and faster insights, lowers operating expenses, and results in more efficient network bandwidth support. Key characteristics of edge computing include: • Computing power in the network or 'on-premises' • Proximity • Real-time data processing • Wide geo-distribution There have been 3 major computing revolutions in industrial applications—mainframe, client server, and cloud computing. Taking up where these paradigms left off, edge computing is establishing itself as a foundational technology for industrial enterprises with its shorter latencies, robust security, responsive data collection, and lower costs. It is extremely relevant in the current hyper-connected industrial environment, as its solution-agnostic nature enables its use across a range of applications, including autonomous assets, remote asset monitoring, data extraction from stranded assets, autonomous robotics, autonomous vehicles, smart factories, oilfield operations management, machine monitoring and smart campuses. The multi-access edge computing (MEC) market is still at nascent stage, with telecom operators and cloud providers conducting trials and, in certain cases, agreements to launch commercial offerings. The recent launch of 5G technology with much lower latency and higher capacity, coupled with MEC, brings computing power closer to customers, driving new applications and experiences. Operators are now deploying smaller data centers in the network edge, closer to customers, optimizing applications performance. However, telecom operators cannot implement and manage MEC alone. They must establish partnerships and an application ecosystem to seize this growth opportunity. Thus, operators are partnering with cloud providers such as Amazon Web Services (AWS), Microsoft Azure, Google Cloud, and IBM Cloud to improve the performance of existing mission-critical applications, and enable new applications over wireless networks. This market influences growth opportunities in a variety of areas, for both consumer and enterprise use cases, where the low-latency requirements for connectivity are essential for applications and user experience. For consumers, there are innovative applications such as 5G gaming and augmented reality (AR), virtual reality (VR), and ultra-high-definition (UHD) streaming. For enterprises, telecom operators are deploying private wireless networks to enable Manufacturing 4.0, automated mining, precision agriculture, Industrial Internet of Things (IIoT), and other compelling use cases. Frost & Sullivan anticipates that approximately 90% of industrial enterprises will utilize edge computing by 2022, and a majority of the data will be processed in the edge even before 5G coverage reaches higher levels and use cases mature. The geographic coverage of this Frost & Sullivan MEC study is global, and the study period is from 2019 to 2024. Author: Renato Pasquini
More Information
No Index No
Podcast No
Author Renato Pasquini
Industries Telecom
WIP Number K540-01-00-00-00
Is Prebook No
GPS Codes 9755-C4,9705-C1,9657