边缘运算创新

概述

本报告对边缘运算进行了全面分析，边缘运算是新技术、创新和通讯领域至关重要的领域。

• 在本报告中，我们深入探讨了业界对此概念产生兴趣的因素以及与其实施相关的高期望。
• 我们强调有多少公司正在进行大量投资来利用这项技术并加强该领域的创新。
• 本报告审视了整个边缘运算生态系统，分析了每个场景中的各种潜在应用以及领先公司采用的多样化策略。
• 它也指出了该技术的挑战和局限性，并让我们了解领先公司未来面临的挑战。
• 最后，我们预测了市场收入前景（2021-2030 年），并提供了不同地区和公司类型的趋势差异以及未来前景等资讯。

目录

第 1 章执行摘要

第二章边缘运算定义

• 边缘运算的定义
• 边缘运算的主要特征
• 各种边缘运算
• 边缘运算与云端运算
• 边缘运算方面的主要工作
• 边缘运算的优势
• 边缘运算故障
• 边缘运算的局限性
• 关注边缘运算的安全问题

第三章主要用途

• 边缘运算驱动的主要市场与技术
• 云端游戏
• 自动驾驶汽车
• IoT（物联网）
• 智慧城市
• IIoT（工业物联网）

第四章边缘运算主要公司（2023）

• 生态系统
• 市场定位
• 设备供应商：Nokia、爱立信、华为
• IT设备供应商：戴尔-IBM
• 工业解决方案供应商：凌华科技 - 施耐德电气
• 边缘硬体专业公司：EdgeConneX - Vapor IO - Mutable
• 边缘软体专业公司：ClearBlade
• 超大规模：AWS - Microsoft Azure - Equinix
• 内容交付网路 (CDN)：Akamai
• 通讯塔公司：中国铁塔
• 电信业者：Orange - 德国电信

第五章边缘运算技术

• SASE（安全存取服务边缘）
• ZTNA（零信任网路存取）
• 5G 的作用
• 边缘运算和 6G
• K8s (Kubernetes)

第六章市场规模

• 连接物件增加
• 边缘运算收入：依公司划分
• 边缘运算收入：依类别
• 来自边缘资料中心的额外收入

Summary

This report offers a comprehensive overview of Edge Computing, a pivotal domain in the realm of new technologies, innovation, and telecommunications.

• It delves into the factors driving significant interest in this concept within the industry and the lofty expectations associated with its implementation.
• It underscores the substantial investments undertaken by numerous companies to harness this technology and enhance their innovations in this sphere.
• By examining the entirety of the Edge Computing ecosystem, the report analyses the diverse strategies employed by key players, along with the various potential applications in each scenario.
• It also pinpoints the challenges and constraints of this technology, offering a glimpse into forthcoming issues for major corporations.
• Finally, the report presents a forecast of anticipated market revenues from 2021 to 2030, distinguishing between regions and types of players, with the aim of providing a forward-looking perspective.

Table of Contents

1. Executive summary

2. Definition of Edge Computing

• 2.1. Definition of Edge Computing
• 2.2. The main characteristics of Edge Computing
• 2.3. The different types of Edge Computing
• 2.4. Edge vs Cloud Computing
• 2.5. The main Edge Computing initiatives
• 2.6. Benefits of Edge Computing
• 2.7. Obstacles to Edge Computing
• 2.8. The limits of Edge Computing
• 2.9. Focus on the security aspect of Edge Computing

3. The main applications

• 3.1. The main markets and technologies driven by Edge Computing
• 3.2. Cloud gaming
• 3.3. Autonomous vehicles
• 3.4. Internet of Things (IoT)
• 3.5. Smart city
• 3.6. Industrial IoT (IIoT)

4. The main players in Edge Computing in 2023

• 4.0.1. The ecosystem
• 4.0.2. Market positioning
• 4.1. Equipment suppliers: Nokia - Ericsson - Huawei
• 4.2. IT equipment suppliers: Dell - IBM
• 4.3. Suppliers of industrial solutions: ADLINK - Schneider Electric
• 4.4. Pure players in Edge hardware: EdgeConneX - Vapor IO - Mutable
• 4.5. Pure players in Edge software: ClearBlade
• 4.6. Hyperscalers: AWS - Microsoft Azure - Equinix
• 4.7. Content delivery networks (CDN): Akamai
• 4.8. Tower companies: China Tower
• 4.9. Telecom operators: Orange - Deutsche Telekom

5. Edge Computing technologies

• 5.1. Secure Access Service Edge (SASE)
• 5.2. Zero Trust Network Access (ZTNA)
• 5.3. The role of 5G
• 5.4. Edge Computing and 6G
• 5.5. Kubernetes (K8s)

6. Market size

• 6.1. Growth in connected objects
• 6.2. Edge Computing revenues by player
• 6.3. Edge Computing revenues by category
• 6.4. Additional revenues from the Edge data centre

List of Tables

3. The main applications

• Online gaming revenues worldwide and regional breakdown in billions of euros, 2022-2026
• How an autonomous car works
• Breakdown of the consumer IoT market 2022-2030
• Sub-segments of smart city spending in Europe
• Breakdown of vertical IoT markets, 2022-2030

4. The main players in Edge Computing in 2023

• Architecture of the Nokia Edge Automation solution
• Four preferred locations for deploying the physical structure of Edge Computing
• Application of the Huawei AR502H
• How the ClearBlade platform works