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市场调查报告书
商品编码
1776706

边缘运算市场预测至 2032 年：按组件、组织规模、部署类型、技术、最终用户和地区进行的全球分析

Edge Computing Market Forecasts to 2032 - Global Analysis By Component (Hardware, Software and Services), Organization Size (Large Enterprises and Small and Medium-sized Enterprises (SMEs)), Deployment Mode, Technology, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3个工作天内

价格

根据 Stratistics MRC 的数据，全球边缘运算市场预计在 2025 年达到 319 亿美元，到 2032 年将达到 2,609 亿美元，预测期内的复合年增长率为 35%。

被称为「边缘运算」的分散式运算范式将资料处理移至更靠近资料产生点的位置，而不是完全依赖集中式云端伺服器。在网路边缘或附近（例如本地边缘伺服器、感测器或物联网设备）处理数据，可以缩短回应时间、降低延迟并促进即时决策。这种方法对于需要即时处理的应用尤其有效，例如智慧城市、工业自动化和无人驾驶汽车。边缘运算无需将敏感资料传输到远端资料中心或云端平台，从而显着减少频宽消耗并增强资料安全性和隐私性。

物联网设备和数据产生的激增

边缘运算的需求日益增长，它能够在更靠近源头的地方处理数据，从而降低延迟。工业自动化、智慧城市和无人驾驶汽车等应用都需要即时数据分析。边缘运算减少了对集中式云端基础架构的依赖，并加快了决策速度。限制资料传输还能提高资料安全性和隐私性。因此，随着物联网应用的日益普及，边缘运算市场正在迅速扩张。

安全和隐私问题

由于端点分散且通常不安全，边缘资料处理增加了网路攻击的可能性。与集中式云端设定相比，边缘设备可能缺乏强大的安全措施，更容易受到攻击。维护资料完整性并遵守 GDPR 等法律法规变得更加困难。由于资料外洩和隐私外洩的风险，组织不愿采用边缘技术。这些问题推迟了边缘技术的大规模采用，并增加了部署成本。

5G部署与AI融合

边缘即时资料处理的改进正在减少对集中式云端系统的依赖。人工智慧的整合进一步增强了这项能力，使智慧决策和分析能够更接近资料来源。这种结合有利于远距医疗、智慧製造和无人驾驶汽车等时间敏感型应用的发展。在各个产业，这种协同效应提高了扩充性、反应能力和效率。为了充分利用 5G 和人工智慧，越来越多的企业正在采用边缘解决方案。

缺乏标准化和互通性

如果没有标准通讯协定，来自众多供应商的设备将难以有效通讯。这种碎片化会导致企业成本高昂，并加强实施难度。由于开发人员必须考虑多个不相容的平台，这也会抑制创新。此外，缺乏互通性会阻碍技术的广泛应用，并降低可扩展扩充性。这阻碍了企业对尖端解决方案的投资，从而减缓了市场扩张。

COVID-19的影响

新冠疫情显着加速了边缘运算的采用，因为各组织都在寻求支援远端办公、最大程度降低延迟并确保即时资料处理。医疗保健、製造业和物流业对低延迟应用的需求激增，推动了边缘运算的采用。然而，供应链中断和计划延迟最初阻碍了硬体部署。儘管有这些挑战，但这场危机凸显了分散式运算的重要性，并鼓励企业加强对边缘技术的投资，以增强疫情后的弹性、效率和资料安全性。

预计智慧城市领域将成为预测期内最大的领域

由于交通管理、监控和公共系统需要即时数据处理，预计智慧城市领域将在预测期内占据最大的市场占有率。在更靠近源头的地方处理资料可以减少延迟和频宽占用，从而提高城市营运效率。边缘运算支援智慧电网、智慧照明和废弃物管理系统等智慧基础设施。物联网设备在智慧城市中的日益普及，推动了对在地化运算解决方案的需求。这种日益增强的整合度正在加速边缘运算的采用，并推动市场成长。

预计大型企业部门在预测期内的复合年增长率最高

预计大型企业细分市场将在预测期内实现最高成长率，这得益于对低延迟资料处理以支援即时应用的旺盛需求。这些企业产生大量数据，需要高效的边缘基础设施来减少网路拥塞并更快地获得洞察。这些企业正在大力投资人工智慧、物联网和 5G 等先进技术，进一步加速边缘运算的采用。大型企业优先考虑资料安全和法规遵循性，这使得在地化边缘解决方案极具吸引力。大型企业雄厚的 IT 预算和对数位转型的专注，正在推动市场持续成长。

占比最大的地区：

在预测期内，由于物联网设备的日益普及、5G 网路的扩展以及智慧城市和工业自动化对即时数据处理日益增长的需求，亚太地区预计将占据最大的市场占有率。中国、日本、韩国和印度等国家正积极投资数位基础设施，推动资料在地化，并鼓励从云端到边缘的迁移。大型通讯业者的出现和政府支持的数位化措施正在加速市场发展。此外，整合人工智慧的边缘解决方案在零售、汽车和医疗保健领域日益普及，推动了创新和在地化资料处理能力的提升。

复合年增长率最高的地区：

由于早期技术采用、成熟的云端生态系以及超大规模资料中心的集中，预计北美在预测期内的复合年增长率最高。美国和加拿大的企业对低延迟服务的需求日益增长，尤其是在自动驾驶汽车、智慧製造和扩增实境等领域。微软、AWS 和Google等科技巨头正在部署边缘基础设施以支援次世代应用程式。网路安全问题和即时分析的需求进一步推动了边缘投资。法律规范和企业数位转型策略持续加强该地区在边缘运算创新方面的主导地位。

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  • 公司简介
    • 对最多三家其他市场公司进行全面分析
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  • 地理细分
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    • 根据产品系列、地理分布和策略联盟对主要企业基准化分析

目录

第一章执行摘要

第二章 前言

  • 概述
  • 相关利益者
  • 调查范围
  • 调查方法
    • 资料探勘
    • 数据分析
    • 数据检验
    • 研究途径
  • 研究材料
    • 主要研究资料
    • 次级研究资讯来源
    • 先决条件

第三章市场走势分析

  • 驱动程式
  • 抑制因素
  • 机会
  • 威胁
  • 技术分析
  • 最终用户分析
  • 新兴市场
  • COVID-19的影响

第四章 波特五力分析

  • 供应商的议价能力
  • 买家的议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争对手之间的竞争

第五章全球边缘运算市场（按组件）

  • 硬体
    • 感应器
    • 边缘节点/网关
    • 路由器
    • 工业用电脑
  • 软体
    • 边缘资料管理
    • 分析和人工智慧软体
    • 边缘安全软体
  • 服务
    • 咨询
    • 整合与部署
    • 支援和维护
    • 託管服务

第六章：全球边缘运算市场（依组织规模）

  • 大公司
  • 小型企业

第七章全球边缘运算市场（依部署类型）

  • 本地
  • 云
  • 杂交种

第 8 章：全球边缘运算市场（按技术）

  • 雾计算
  • 行动边缘运算（MEC）
  • Cloudlets
  • 内容传递网路(CDN)

9. 全球边缘运算市场（依最终用户划分）

  • 能源与公共产业
  • 卫生保健
  • 车
  • 零售
  • 智慧城市
  • 运输/物流
  • 通讯
  • 政府/国防
  • 媒体与娱乐
  • 其他最终用户

第 10 章全球边缘运算市场（按地区）

  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲国家
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 其他亚太地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地区
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲地区

第十一章 重大进展

  • 协议、伙伴关係、合作和合资企业
  • 收购与合併
  • 新产品发布
  • 业务扩展
  • 其他关键策略

第十二章 公司概况

  • Amazon Web Services（AWS）
  • Microsoft
  • Google
  • Cisco Systems
  • Dell Technologies
  • Hewlett Packard Enterprise（HPE）
  • Intel
  • NVIDIA
  • Advanced Micro Devices（AMD）
  • EdgeConneX
  • Akamai Technologies
  • Juniper Networks
  • Cloudflare
  • ADLINK Technology
  • Advantech
  • Schneider Electric
  • Siemens
  • FogHorn Systems
Product Code: SMRC30037

According to Stratistics MRC, the Global Edge Computing Market is accounted for $31.9 billion in 2025 and is expected to reach $260.9 billion by 2032 growing at a CAGR of 35% during the forecast period. A distributed computing paradigm known as "edge computing" moves data processing closer to the point of generation rather than depending entirely on centralised cloud servers. It increases response times, lowers latency, and facilitates real-time decision-making by processing data at or close to the network's edge, such as local edge servers, sensors, or Internet of Things devices. This method works particularly well for applications that need to be processed instantly, such smart cities, industrial automation, and driverless cars. By eliminating the need to send sensitive data to remote data centres or cloud platforms, edge computing significantly lowers bandwidth consumption and enhances data security and privacy.

Market Dynamics:

Driver:

Surge in IoT devices and data generation

The need for edge computing to process data closer to the source and lower latency is heightened by this. Applications such as industrial automation, smart cities, and driverless cars require real-time data analysis. Edge computing reduces dependency on centralised cloud infrastructure, allowing for quicker decision-making. By restricting data transfer, it also improves data security and privacy. Consequently, the market for edge computing is expanding quickly due to the growing usage of IoT.

Restraint:

Security and privacy concerns

Data processing at the edge raises the possibility of cyberattacks because of dispersed and frequently insecure endpoints. In contrast to centralised cloud settings, edge devices might not have strong security measures in place, which leaves them open to attack. It gets harder to maintain data integrity and comply with laws like GDPR. Because of the possibility of data breaches and privacy violations, organisations are hesitant to implement edge technologies. Large-scale deployments are delayed by these issues, which increase implementation costs.

Opportunity:

5G deployment and AI integration

Reliance on centralised cloud systems is decreased as a result of improved real-time data processing at the edge. This is enhanced by AI integration, which makes it possible to make wise decisions and conduct analytics nearer to the data sources. When combined, they facilitate time-sensitive applications such as remote healthcare, smart manufacturing, and driverless cars. Across industries, this synergy increases scalability, responsiveness, and efficiency. In order to fully utilise 5G and AI, organisations are consequently adopting edge solutions at an increasing rate.

Threat:

Lack of standardization and interoperability

Devices from many vendors have trouble communicating effectively if there are no standard protocols. Businesses incur higher expenses as a result of this fragmentation, which also makes implementation more challenging. Because developers have to take into consideration several incompatible platforms, it also stifles innovation. Furthermore, a lack of interoperability hinders broad adoption and decreases scalability. As of this, businesses are reluctant to spend money on cutting-edge solutions, which slows market expansion.

Covid-19 Impact

The Covid-19 pandemic significantly accelerated the adoption of edge computing as organizations sought to support remote work, minimize latency, and ensure real-time data processing. The surge in demand for low-latency applications in healthcare, manufacturing, and logistics fuelled edge deployment. However, supply chain disruptions and project delays initially hindered hardware rollouts. Despite these challenges, the crisis highlighted the importance of decentralized computing, pushing businesses to invest more in edge technologies to enhance resilience, efficiency, and data security in a post-pandemic world.

The smart cities segment is expected to be the largest during the forecast period

The smart cities segment is expected to account for the largest market share during the forecast period, due to real-time data processing for traffic management, surveillance, and public safety systems. It reduces latency and bandwidth usage by processing data closer to the source, enhancing efficiency in urban operations. Edge computing supports intelligent infrastructure such as smart grids, smart lighting, and waste management systems. The rising adoption of IoT devices across smart cities boosts demand for localized computing solutions. This growing integration accelerates edge deployments, driving market growth.

The large enterprises segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the large enterprises segment is predicted to witness the highest growth rate by driving high demand for low-latency data processing to support real-time applications. These organizations generate massive volumes of data, requiring efficient edge infrastructure to reduce network congestion and ensure faster insights. They invest heavily in advanced technologies like AI, IoT, and 5G, which further accelerate edge adoption. Large enterprises prioritize data security and regulatory compliance, making localized edge solutions highly attractive. Their significant IT budgets and focus on digital transformation contribute to sustained market growth.

Region with largest share:

During the forecast period, the Asia Pacific region is expected to hold the largest market share due to increasing adoption of IoT devices, expansion of 5G networks, and rising demand for real-time data processing across smart cities and industrial automation sectors. Countries like China, Japan, South Korea, and India are heavily investing in digital infrastructure, promoting data localization, and encouraging cloud-to-edge transitions. The presence of major telecom players and government-backed digital initiatives accelerates market development. Additionally, AI-integrated edge solutions are gaining traction across retail, automotive, and healthcare, fostering innovation and localized data processing capabilities.

Region with highest CAGR:

Over the forecast period, the North America region is anticipated to exhibit the highest CAGR, owing to by early technology adoption, mature cloud ecosystem, and high concentration of hyperscale data centers. The U.S. and Canada are experiencing growing enterprise demand for low-latency services, particularly in autonomous vehicles, smart manufacturing, and augmented reality. Leading tech giants such as Microsoft, AWS, and Google are deploying edge infrastructure to support next-gen applications. Cybersecurity concerns and the need for real-time analytics further push edge investments. Regulatory frameworks and corporate digital transformation strategies continue to strengthen the region's dominance in edge computing innovations.

Key players in the market

Some of the key players profiled in the Edge Computing Market include Amazon Web Services (AWS), Microsoft, Google, Cisco Systems, Dell Technologies, Hewlett Packard Enterprise (HPE), Intel, NVIDIA, Advanced Micro Devices (AMD), EdgeConneX, Akamai Technologies, Juniper Networks, Cloudflare, ADLINK Technology, Advantech, Schneider Electric, Siemens and FogHorn Systems.

Key Developments:

In April 2025, Google announced the acquisition of Wiz, a cybersecurity firm. This acquisition strengthens Google's edge and cloud security offerings, particularly in protecting AI models and data at the edge-critical for enterprise adoption of edge computing.

In May 2024, AWS entered a strategic collaboration with Mavenir to jointly develop cloud-native telecom solutions, including 5G, IMS, and RAN technologies. This partnership aims to accelerate innovation, reduce deployment complexity, and enhance scalability for global telecom operators.

In August 2023, AWS acquired Hercules Labs (also known as Fig), an infrastructure-testing startup. This acquisition reinforces AWS's developer toolchain, enhancing end-to-end CI/CD pipelines and offering robust support for edge-focused DevOps workflows.

Components Covered:

  • Hardware
  • Software
  • Services

Organization Sizes Covered:

  • Large Enterprises
  • Small and Medium-sized Enterprises (SMEs)

Deployment Modes Covered:

  • On-Premises
  • Cloud
  • Hybrid

Technologies Covered:

  • Fog Computing
  • Mobile Edge Computing (MEC)
  • Cloudlet
  • Content Delivery Network (CDN)

End Users Covered:

  • Energy & Utilities
  • Healthcare
  • Automotive
  • Retail
  • Smart Cities
  • Transportation & Logistics
  • Telecom
  • Government & Defense
  • Media & Entertainment
  • Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Technology Analysis
  • 3.7 End User Analysis
  • 3.8 Emerging Markets
  • 3.9 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Edge Computing Market, By Component

  • 5.1 Introduction
  • 5.2 Hardware
    • 5.2.1 Sensors
    • 5.2.2 Edge Nodes/Gateways
    • 5.2.3 Routers
    • 5.2.4 Industrial PCs
  • 5.3 Software
    • 5.3.1 Edge Data Management
    • 5.3.2 Analytics & AI Software
    • 5.3.3 Edge Security Software
  • 5.4 Services
    • 5.4.1 Consulting
    • 5.4.2 Integration & Deployment
    • 5.4.3 Support & Maintenance
    • 5.4.4 Managed Services

6 Global Edge Computing Market, By Organization Size

  • 6.1 Introduction
  • 6.2 Large Enterprises
  • 6.3 Small and Medium-sized Enterprises (SMEs)

7 Global Edge Computing Market, By Deployment Mode

  • 7.1 Introduction
  • 7.2 On-Premises
  • 7.3 Cloud
  • 7.4 Hybrid

8 Global Edge Computing Market, By Technology

  • 8.1 Introduction
  • 8.2 Fog Computing
  • 8.3 Mobile Edge Computing (MEC)
  • 8.4 Cloudlet
  • 8.5 Content Delivery Network (CDN)

9 Global Edge Computing Market, By End User

  • 9.1 Introduction
  • 9.2 Energy & Utilities
  • 9.3 Healthcare
  • 9.4 Automotive
  • 9.5 Retail
  • 9.6 Smart Cities
  • 9.7 Transportation & Logistics
  • 9.8 Telecom
  • 9.9 Government & Defense
  • 9.10 Media & Entertainment
  • 9.11 Other End Users

10 Global Edge Computing Market, By Geography

  • 10.1 Introduction
  • 10.2 North America
    • 10.2.1 US
    • 10.2.2 Canada
    • 10.2.3 Mexico
  • 10.3 Europe
    • 10.3.1 Germany
    • 10.3.2 UK
    • 10.3.3 Italy
    • 10.3.4 France
    • 10.3.5 Spain
    • 10.3.6 Rest of Europe
  • 10.4 Asia Pacific
    • 10.4.1 Japan
    • 10.4.2 China
    • 10.4.3 India
    • 10.4.4 Australia
    • 10.4.5 New Zealand
    • 10.4.6 South Korea
    • 10.4.7 Rest of Asia Pacific
  • 10.5 South America
    • 10.5.1 Argentina
    • 10.5.2 Brazil
    • 10.5.3 Chile
    • 10.5.4 Rest of South America
  • 10.6 Middle East & Africa
    • 10.6.1 Saudi Arabia
    • 10.6.2 UAE
    • 10.6.3 Qatar
    • 10.6.4 South Africa
    • 10.6.5 Rest of Middle East & Africa

11 Key Developments

  • 11.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 11.2 Acquisitions & Mergers
  • 11.3 New Product Launch
  • 11.4 Expansions
  • 11.5 Other Key Strategies

12 Company Profiling

  • 12.1 Amazon Web Services (AWS)
  • 12.2 Microsoft
  • 12.3 Google
  • 12.4 Cisco Systems
  • 12.5 Dell Technologies
  • 12.6 Hewlett Packard Enterprise (HPE)
  • 12.7 Intel
  • 12.8 NVIDIA
  • 12.9 Advanced Micro Devices (AMD)
  • 12.10 EdgeConneX
  • 12.11 Akamai Technologies
  • 12.12 Juniper Networks
  • 12.13 Cloudflare
  • 12.14 ADLINK Technology
  • 12.15 Advantech
  • 12.16 Schneider Electric
  • 12.17 Siemens
  • 12.18 FogHorn Systems

List of Tables

  • Table 1 Global Edge Computing Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global Edge Computing Market Outlook, By Component (2024-2032) ($MN)
  • Table 3 Global Edge Computing Market Outlook, By Hardware (2024-2032) ($MN)
  • Table 4 Global Edge Computing Market Outlook, By Sensors (2024-2032) ($MN)
  • Table 5 Global Edge Computing Market Outlook, By Edge Nodes/Gateways (2024-2032) ($MN)
  • Table 6 Global Edge Computing Market Outlook, By Routers (2024-2032) ($MN)
  • Table 7 Global Edge Computing Market Outlook, By Industrial PCs (2024-2032) ($MN)
  • Table 8 Global Edge Computing Market Outlook, By Software (2024-2032) ($MN)
  • Table 9 Global Edge Computing Market Outlook, By Edge Data Management (2024-2032) ($MN)
  • Table 10 Global Edge Computing Market Outlook, By Analytics & AI Software (2024-2032) ($MN)
  • Table 11 Global Edge Computing Market Outlook, By Edge Security Software (2024-2032) ($MN)
  • Table 12 Global Edge Computing Market Outlook, By Services (2024-2032) ($MN)
  • Table 13 Global Edge Computing Market Outlook, By Consulting (2024-2032) ($MN)
  • Table 14 Global Edge Computing Market Outlook, By Integration & Deployment (2024-2032) ($MN)
  • Table 15 Global Edge Computing Market Outlook, By Support & Maintenance (2024-2032) ($MN)
  • Table 16 Global Edge Computing Market Outlook, By Managed Services (2024-2032) ($MN)
  • Table 17 Global Edge Computing Market Outlook, By Organization Size (2024-2032) ($MN)
  • Table 18 Global Edge Computing Market Outlook, By Large Enterprises (2024-2032) ($MN)
  • Table 19 Global Edge Computing Market Outlook, By Small and Medium-sized Enterprises (SMEs) (2024-2032) ($MN)
  • Table 20 Global Edge Computing Market Outlook, By Deployment Mode (2024-2032) ($MN)
  • Table 21 Global Edge Computing Market Outlook, By On-Premises (2024-2032) ($MN)
  • Table 22 Global Edge Computing Market Outlook, By Cloud (2024-2032) ($MN)
  • Table 23 Global Edge Computing Market Outlook, By Hybrid (2024-2032) ($MN)
  • Table 24 Global Edge Computing Market Outlook, By Technology (2024-2032) ($MN)
  • Table 25 Global Edge Computing Market Outlook, By Fog Computing (2024-2032) ($MN)
  • Table 26 Global Edge Computing Market Outlook, By Mobile Edge Computing (MEC) (2024-2032) ($MN)
  • Table 27 Global Edge Computing Market Outlook, By Cloudlet (2024-2032) ($MN)
  • Table 28 Global Edge Computing Market Outlook, By Content Delivery Network (CDN) (2024-2032) ($MN)
  • Table 29 Global Edge Computing Market Outlook, By End User (2024-2032) ($MN)
  • Table 30 Global Edge Computing Market Outlook, By Energy & Utilities (2024-2032) ($MN)
  • Table 31 Global Edge Computing Market Outlook, By Healthcare (2024-2032) ($MN)
  • Table 32 Global Edge Computing Market Outlook, By Automotive (2024-2032) ($MN)
  • Table 33 Global Edge Computing Market Outlook, By Retail (2024-2032) ($MN)
  • Table 34 Global Edge Computing Market Outlook, By Smart Cities (2024-2032) ($MN)
  • Table 35 Global Edge Computing Market Outlook, By Transportation & Logistics (2024-2032) ($MN)
  • Table 36 Global Edge Computing Market Outlook, By Telecom (2024-2032) ($MN)
  • Table 37 Global Edge Computing Market Outlook, By Government & Defense (2024-2032) ($MN)
  • Table 38 Global Edge Computing Market Outlook, By Media & Entertainment (2024-2032) ($MN)
  • Table 39 Global Edge Computing Market Outlook, By Other End Users (2024-2032) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.