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市場調查報告書

全球5G和邊緣計算市場:到2024年的預測

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

出版商 Frost & Sullivan 商品編碼 955666
出版日期 內容資訊 英文 87 Pages
商品交期: 最快1-2個工作天內
價格
全球5G和邊緣計算市場:到2024年的預測 5G and Edge Computing-Cloud Workloads Shifting to the Edge, Forecast to 2024
出版日期: 2020年08月17日內容資訊: 英文 87 Pages
簡介

邊緣計算是一種在諸如數據生成的地方(即網絡網關和端點附近)擴展諸如智能,數據處理,分析和通信之類的功能的方法,可以減少延遲並提高效率。它使網絡和運營可以得到服務,以改善用戶體驗,並提高業務敏捷性,降低運營成本並有效地支持網絡帶寬。隨著低延遲,大容量5G技術和多路訪問邊緣計算(MEC)的出現,為使計算能力更接近客戶並通過新的應用程序提供空前的體驗而設置的條件已經定下。運營商現在正在通過在靠近客戶的網絡邊緣部署小型數據中心來優化應用程序性能。

該報告調查了5G和邊緣計算的全球市場,並提供了有關增長機會分析,主要運營商,雲端提供商,技術公司,預期增長機會的領域等信息。

目錄

戰略要求

增長機會分析

  • 市場定義:分析範圍
  • 市場定義:邊緣計算和MEC概念
  • 市場定義:迄今為止的計算機革命
  • MEC市場領域
  • 與MEC相關的主要競爭對手
  • 5G的3個核心要素:eMBB,UMTC,MMTC
  • 本報告解決的主要問題
  • 多路訪問邊緣計算的關鍵增長指標
  • 成長環境
  • MEC生長促進要因
  • MEC生長抑制要因
  • 預測的先決條件
  • 收入預測
  • 按類型劃分的收入預測
  • 分部收入預測
  • 按類型分析收入預測
  • 按部門劃分的收入預測分析
  • 競爭環境
  • MEC標準化和互操作性領域的合作
  • 服務提供商與移動相關的收入構成

主要航空公司的資料

  • AT&T
  • China Mobile
  • Telefonica
  • KT Corp
  • Verizon
  • Vodafone

主要雲端提供商和技術公司的資料

  • AWS
  • Google Cloud
  • IBM
  • MS Azure
  • Intel
  • Cisco

可以期待增長機會的區域

  • 增長機會
  • 增長機會1:用於互動和網絡娛樂的手機遊戲
  • 增長機會2:聯網/自動駕駛車輛可實現更高效的運輸和零事故
  • 增長機會3:AR和VR可以擴展沉浸式體驗和人類感知
  • 增長機會4:UHD影片流支持移動影片點播的增長
  • 增長機會5:IoT/AI/ML推理技術,支持作為服務提供的實時影片分析
  • 增長機會6:提高生產率和零事故的工業4.0解決方案
  • 增長機會7:一種智能城市應用程序,可為公民提供更好的服務,並降低成本和二氧化碳排放量

下一步

目錄
Product Code: K540-65

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

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 (UDH) 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.

Table of Contents

Strategic Imperatives

  • 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™

Growth Opportunity Analysis

  • 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

Competitive Profiles of Telcos

  • 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)

Competitive Profiles of Cloud Providers and Tech Companies

  • 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 Opportunity Universe

  • 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)

Next Steps

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