全球边缘运算市场规模（按组件、部署模式、应用程式、最终用户产业、区域范围和预测）

边缘运算市场规模与预测

边缘运算市场规模预计在 2024 年达到 62.4 亿美元，到 2032 年将达到 348.1 亿美元，2026 年至 2032 年的复合年增长率为 23.97%。

• 边缘运算是一种分散式运算技术，它在更靠近源头的地方处理数据，无需将资料传输到集中式资料中心，从而减少了延迟和频宽消耗。这种方法对于需要即时处理的应用尤其有用，例如物联网 (IoT) 设备、无人驾驶汽车和扩增实境。
• 此外，边缘运算透过在资料来源处或资料来源附近（例如工厂中的感测器或安全系统中的摄影机）进行运算来提高反应速度和营运效率。智慧城市需要即时交通管控，医疗保健需要高速数据分析来改善病患治疗效果。

边缘运算市场动态

影响边缘运算市场的关键市场动态包括：

关键市场驱动因素

• 物联网 (IoT) 设备的激增：物联网设备的快速普及推动了对边缘运算的需求，这种运算能够在更靠近源头的地方处理资料。根据国际数据公司 (IDC) 的数据，到 2025 年，全球物联网设备数量预计将达到 416 亿，产生 79.4 Zetta位元组的数据。如此大量的数据需要即时处理能力，而边缘运算恰好能够满足这一需求，从而加速市场成长。
• 低延迟应用需求日益增长：随着越来越多的应用需要即时资料处理和低延迟，边缘运算正日益普及。根据思科的《2018-2023年年度互联网报告》，到2023年，连接到IP网路的设备数量将达到全球人口的三倍以上。该报告还预测，到2023年，50%的连网设备和通讯将是机器对机器（M2M）的，其中许多都需要边缘运算提供的低延迟功能。
• 5G技术日益普及：5G网路的发展正在加速边缘运算的发展。根据全球行动通讯系统协会 (GSMA) 预测，到2025年，5G连线数预计将达到18亿，占所有行动连线的21%。这种高速、低延迟的网路架构将赋能边缘运算能力，从而实现更快的资料处理速度，并为广泛的应用提升效能。

主要挑战

• 安全隐患：边缘运算的分散式特性扩大了攻击面，使其更容易受到网路攻击。必须部署加密和入侵侦测等强大的安全机制来保护边缘的敏感资料。此外，企业必须重视持续监控和快速升级，以应对新出现的风险。如果无法有效管理安全风险，可能导致大规模资料洩露，最终导致消费者信任度的丧失。
• 运算资源有限：运算资源有限是边缘运算市场发展的一大障碍。边缘设备的处理能力、记忆体和储存空间有限，难以部署复杂的应用程式和服务。为了突破这一限制，必须使用轻量级技术和有效的资料过滤来优化效能。如果运算资源不足，企业就无法充分发挥边缘运算的潜力，进而导致效率低下和营运成本增加。

主要趋势：

• 物联网和 5G 技术的应用日益广泛：物联网与 5G 的整合正在推动边缘运算市场的发展。随着越来越多的设备实现互联，对低延迟处理的需求将不断增长，从而实现即时数据分析和决策。这一趋势将推动边缘运算解决方案的部署，这些解决方案能够有效处理物联网设备产生的大量数据，从而提高製造业、医疗保健和交通运输等行业的业务效率。
• 硬体投资成长：随着企业投资支援分散式运算的最佳化设备，边缘运算市场的硬体部分预计将快速成长。这包括边缘伺服器、网关和用于即时资料处理的专用晶片。随着企业认识到高效硬体在降低延迟和提高效能方面的价值，先进边缘基础设施的支出可能会激增，从而推动整体市场的成长。

目录

第一章 全球边缘运算市场简介

• 市场概览
• 研究范围
• 先决条件

第二章执行摘要

第三章：已验证的市场研究调查方法

• 资料探勘
• 验证
• 第一手资料
• 资料来源列表

第四章 全球边缘运算市场展望

• 概述
• 市场动态
  • 驱动程式
  • 限制因素
  • 机会
• 波特五力模型
• 价值链分析

第五章 全球边缘运算市场（按组件）

• 概述
• 硬体
• 解决方案
• 服务
• 平台

第六章全球边缘运算市场（依部署模式）

• 概述
• 云
• 本地

第七章全球边缘运算市场（按应用）

• 概述
• 智慧城市
• 分析
• 定位服务
• 资料快取
• 扩增实境
• 优化本地内容
• 环境监测
• 其他的

第八章全球边缘运算市场（按最终用户产业）

• 概述
• 製造业
• 运输
• 卫生保健
• 媒体和娱乐
• 资讯科技和电讯
• 政府/公共
• 能源与公共产业
• 零售
• 其他的

第九章 全球边缘运算市场（按地区）

• 概述
• 北美洲
  • 美国
  • 加拿大
  • 墨西哥
• 欧洲
  • 德国
  • 英国
  • 法国
  • 其他欧洲国家
• 亚太地区
  • 中国
  • 日本
  • 印度
  • 其他亚太地区
• 世界其他地区
  • 中东和非洲
  • 拉丁美洲

第十章全球边缘运算市场的竞争格局

• 概述
• 各公司市场排名
• 主要发展策略

第十一章 公司简介

• Amazon Web Services, Inc.
• Cisco Systems, Inc
• Dell Technologies, Inc.
• Huawei Technologies Co. Ltd.
• IBM Corporation
• Microsoft Corporation
• Nokia Corporation
• Google LLC
• Intel Corporation
• Hewlett Packard Enterprise（HPE）Company

第十二章 附录

• 相关调查

Edge Computing Market Size And Forecast

Edge Computing Market size was valued at USD 6.24 Billion in 2024 and is projected to reach USD 34.81 Billion by 2032, growing at a CAGR of 23.97% from 2026 to 2032.

• Edge computing is a distributed computing technology that processes data closer to the source, reducing latency and bandwidth consumption by eliminating the need to transport data to centralized data centers. This approach is especially useful for applications that require real-time processing, such as Internet of Things (IoT) devices, driverless vehicles, and augmented reality.
• Furthermore, edge computing improves responsiveness and operational efficiency by processing computations at or near the data source-for example, sensors in a factory or cameras in a security system. Smart cities require real-time traffic control, and healthcare relies on fast data analysis to improve patient care outcomes.

Edge Computing Market Dynamics

The key market dynamics that are shaping the Edge Computing Market include:

Key Market Drivers

• Proliferation of Internet of Things (IoT) devices: The rapid proliferation of IoT devices is fueling the demand for edge computing, which processes data closer to its source. According to the International Data Corporation (IDC), the number of IoT devices worldwide is expected to reach 41.6 billion by 2025, creating 79.4 zettabytes of data. This vast amount of data necessitates real-time processing capabilities, which edge computing can deliver, accelerating market growth.
• Growing Demand for Low-latency Applications: Edge computing is gaining popularity as more applications require real-time data processing and low latency. According to Cisco's Annual Internet Report (2018-2023), the number of devices linked to IP networks will exceed three times the world population by 2023. The report also estimates that by 2023, 50% of all networked devices and communications will be machine-to-machine, with many of them requiring the low-latency capabilities provided by edge computing.
• Increasing Adoption of 5G Technology: The deployment of 5G networks is accelerating the development of edge computing. According to the Global System for Mobile Communications Association (GSMA), 5G connections are estimated to total 1.8 billion by 2025, accounting for 21% of all mobile connections. This high-speed, low-latency network architecture enhances edge computing capabilities, allowing for faster data processing and increased performance across a wide range of applications.

Key Challenges:

• Security Concerns: The distributed nature of edge settings expands the attack surface, making them more vulnerable to cyber assaults. Protecting sensitive data at the edge necessitates the implementation of strong security mechanisms such as encryption and intrusion detection. Furthermore, companies must emphasize ongoing monitoring and quick upgrades to address emerging risks. Failure to effectively manage security risks leads to major data breaches and a loss of consumer trust.
• Limited Computational Resources: Limited computational resources pose a big obstacle to the Edge Computing Market. Edge devices have limited processing power, memory, and storage, preventing the deployment of complicated applications and services. To address this constraint, lightweight methods and effective data filtering must be used to optimize performance. Without enough computational resources, firms struggle to fully realize the potential of edge computing, resulting in inefficiencies and increasing operating expenses.

Key Trends:

• Increased Adoption of IoT & 5G Technologies: The integration of IoT and 5G is propelling the Edge Computing Market. As more devices become interconnected, the demand for low-latency processing increases, allowing for real-time data analysis and decision-making. This trend enables the deployment of edge computing solutions capable of efficiently handling massive volumes of data generated by IoT devices, hence improving operational efficiency in industries such as manufacturing, healthcare, and transportation.
• Growth in Hardware Investments: The hardware component of the Edge Computing Market is expected to expand swiftly as businesses invest in optimized devices capable of enabling distributed computing. This comprises edge servers, gateways, and specialized chips for real-time data processing. As companies grasp the value of efficient hardware in lowering latency and enhancing performance, expenditures in advanced edge infrastructure are likely to skyrocket, propelling overall market growth.

Global Edge Computing Market Regional Analysis

Here is a more detailed regional analysis of the Edge Computing Market:

North America:

• According to Verified Market Research, North America is estimated to dominate the market during the forecast period. North America is at the forefront of 5G technology deployment, which is inextricably linked to edge computing expansion. According to the CTIA (Cellular Telecommunications Industry Association), by the end of 2020, there were over 50 million 5G connections in the United States alone. The CTIA also claims that US mobile carriers are investing $275 billion in 5G networks, building a strong infrastructure that supports edge computing applications and boosting regional market development.
• Furthermore, North America is home to a large number of data centers and major cloud service providers, making edge computing more widely adopted. According to the US Department of Energy, data centers in the United States consumed around 73 billion kilowatt-hours of electricity in 2020, accounting for almost 2% of overall electricity consumption. This substantial data center infrastructure lays a solid foundation for edge computing adoption, as these facilities can be used to bring computation resources closer to end users.

Asia Pacific:

• The Asia Pacific region is estimated to exhibit the highest growth within the market during the forecast period. The Asia Pacific region is experiencing a spike in IoT device adoption, which is fueling the demand for edge computing solutions. According to the GSM Association (GSMA), the Asia-Pacific region is predicted to have 11 billion IoT connections by 2025, accounting for around 40% of worldwide IoT connections. This accelerated growth in connected devices generates large amounts of data that require real-time processing, driving up demand for edge computing solutions in the region.
• Furthermore, the deployment of 5G networks across the Asia Pacific is accelerating edge computing usage. According to the GSMA, by 2025, Asia Pacific will have 1.2 billion 5G connections, accounting for 65% of the global total. Countries such as South Korea are leading the way, with the Ministry of Science and ICT estimating that as of December 2021, the country has 20.92 million 5G customers, accounting for almost 30% of total mobile subscriptions. This enhanced network architecture lays the groundwork for edge computing applications, accelerating market growth.

Global Edge Computing Market: Segmentation Analysis

The Edge Computing Market is segmented on the basis of Component, Deployment Mode, Application, and End-use Industry.

Edge Computing Market, By Component

• Hardware
• Solutions
• Services
• Platforms

Based on Component, the market is segmented into Hardware, Solutions, Services, and Platforms. The hardware segment is estimated to dominate the Edge Computing Market owing to the growing demand for devices that enable dispersed computing closer to data sources. This segment includes several critical components, such as edge servers, routers, and specialized processors, all of which are required for real-time data processing and analytics. As industries continue to use edge computing solutions to improve operational efficiency and reduce latency, the hardware segment is likely to experience further development and innovation, cementing its market leadership.

Edge Computing Market, By Deployment Mode

• Cloud
• On-Premises

Based on Deployment Mode, the Edge Computing Market is segmented into Cloud and On-Premises. The cloud segment is estimated to dominate the market over the forecast period due to its scalability and flexibility, which enable enterprises to use massive computational capabilities without requiring expensive on-premises infrastructure. Cloud solutions simplify the management and integration of edge applications, allowing for faster deployment and upgrades. As organizations seek to improve performance and minimize latency, the cloud's ability to serve a wide range of edge computing applications makes it a popular choice among many enterprises.

Edge Computing Market, By Application

• Smart Cities
• Analytics
• Location Services
• Data Caching
• Augmented Reality
• Optimized Local Content
• Environmental Monitoring
• Others

Based on the Application, the market is divided into Smart Cities, Analytics, Location Services, Data Caching, Augmented Reality, Optimized Local Content, Environmental Monitoring, and Others. The smart cities segment is estimated to dominate the global market. This dominance is fueled by the growing demand for real-time data processing and analytics to improve urban infrastructure and services. Smart city efforts use edge computing to improve traffic management, energy consumption, and public safety by collecting and analyzing data from various IoT devices efficiently. As cities strive to improve sustainability and livability, investments in edge computing technology for smart city applications are likely to skyrocket, cementing their market dominance.

Edge Computing Market, By End-User Industry

• Manufacturing
• Transportation
• Healthcare
• Media and Entertainment
• IT and Telecom
• Government and Public
• Energy and Utilities
• Retail
• Others

Based on the End-User Industry, the market is segmented into Manufacturing, Transportation, Healthcare, Media & Entertainment, IT & Telecom, Government & Public, Energy & Utilities, Retail, and Others. The manufacturing segment is estimated to lead this segment in the forecast period. This dominance is being driven by rising demand for real-time monitoring and predictive maintenance, which improve operational efficiency and productivity. Edge computing allows manufacturers to analyze data locally, which reduces latency and improves decision-making skills. As industries implement Industry 4.0 technologies, the integration of edge solutions in manufacturing is likely to expand, cementing its market leadership.

Key Players

• The "Edge Computing Market" study report will provide valuable insight with an emphasis on the global market. The major players in the market are Amazon Web Services, Inc., Cisco Systems, Inc., Dell Technologies, Inc., Huawei Technologies Co. Ltd., IBM Corporation, Microsoft Corporation, Nokia Corporation, Google LLC, Intel Corporation, and Hewlett Packard Enterprise (HPE) Company.

Our market analysis also entails a section solely dedicated to such major players wherein our analysts provide an insight into the financial statements of all the major players, along with its product benchmarking and SWOT analysis. The competitive landscape section also includes key development strategies, market share, and market ranking analysis of the above-mentioned players globally.

• Edge Computing Market Recent Developments
• In January 2024, IBM and American Tower established a collaboration to accelerate the use of edge computing. The alliance aims to speed the adoption of a hybrid cloud computing platform at the edge, bringing business applications closer to key data sources.
• In December 2023, McDonald's Corporation announced a partnership with Google to use the Google Cloud platform in thousands of locations worldwide. McDonald's will employ Google Cloud's edge computing to power new platforms, including data storage and high-performance computing in individual restaurants.

TABLE OF CONTENTS

1 INTRODUCTION OF GLOBAL EDGE COMPUTING MARKET

• 1.1 Overview of the Market
• 1.2 Scope of Report
• 1.3 Assumptions

2 EXECUTIVE SUMMARY

3 RESEARCH METHODOLOGY OF VERIFIED MARKET RESEARCH

• 3.1 Data Mining
• 3.2 Validation
• 3.3 Primary Interviews
• 3.4 List of Data Sources

4 GLOBAL EDGE COMPUTING MARKET OUTLOOK

• 4.1 Overview
• 4.2 Market Dynamics
  • 4.2.1 Drivers
  • 4.2.2 Restraints
  • 4.2.3 Opportunities
• 4.3 Porters Five Force Model
• 4.4 Value Chain Analysis

5 GLOBAL EDGE COMPUTING MARKET, BY COMPONENT

• 5.1 Overview
• 5.2 Hardware
• 5.3 Solutions
• 5.4 Services
• 5.5 Platforms

6 GLOBAL EDGE COMPUTING MARKET, BY DEPLOYMENT MODE

• 6.1 Overview
• 6.2 Cloud
• 6.3 On-Premises

7 GLOBAL EDGE COMPUTING MARKET, BY APPLICATION

• 7.1 Overview
• 7.2 Smart Cities
• 7.3 Analytics
• 7.4 Location Services
• 7.5 Data Caching
• 7.6 Augmented Reality
• 7.7 Optimized Local Content
• 7.8 Environmental Monitoring
• 7.8 Others

8 GLOBAL EDGE COMPUTING MARKET, BY END-USER INDUSTRY

• 8.1 Overview
• 8.2 Manufacturing
• 8.3 Transportation
• 8.4 Healthcare
• 8.5 Media and Entertainment
• 8.6 IT and Telecom
• 8.7 Government and Public
• 8.8 Energy and Utilities
• 8.9 Retail
• 8.10 Others

9 GLOBAL EDGE COMPUTING MARKET, BY GEOGRAPHY

• 9.1 Overview
• 9.2 North America
  • 9.2.1 U.S.
  • 9.2.2 Canada
  • 9.2.3 Mexico
• 9.3 Europe
  • 9.3.1 Germany
  • 9.3.2 U.K.
  • 9.3.3 France
  • 9.3.4 Rest of Europe
• 9.4 Asia Pacific
  • 9.4.1 China
  • 9.4.2 Japan
  • 9.4.3 India
  • 9.4.4 Rest of Asia Pacific
• 9.5 Rest of the World
  • 9.5.1 Middle East & Africa
  • 9.5.2 Latin America

10 GLOBAL EDGE COMPUTING MARKET COMPETITIVE LANDSCAPE

• 10.1 Overview
• 10.2 Company Market ranking
• 10.3 Key Development Strategies

11 COMPANY PROFILES

• 11.1 Amazon Web Services, Inc.
  • 11.1.1 Overview
  • 11.1.2 Financial Performance
  • 11.1.3 Product Outlook
  • 11.1.4 Key Developments
• 11.2 Cisco Systems, Inc
  • 11.2.1 Overview
  • 11.2.2 Financial Performance
  • 11.2.3 Product Outlook
  • 11.2.4 Key Developments
• 11.3 Dell Technologies, Inc.
  • 11.3.1 Overview
  • 11.3.2 Financial Performance
  • 11.3.3 Product Outlook
  • 11.3.4 Key Developments
• 11.4 Huawei Technologies Co. Ltd.
  • 11.4.1 Overview
  • 11.4.2 Financial Performance
  • 11.4.3 Product Outlook
  • 11.4.4 Key Developments
• 11.5 IBM Corporation
  • 11.5.1 Overview
  • 11.5.2 Financial Performance
  • 11.5.3 Product Outlook
  • 11.5.4 Key Developments
• 11.6 Microsoft Corporation
  • 11.6.1 Overview
  • 11.6.2 Financial Performance
  • 11.6.3 Product Outlook
  • 11.6.4 Key Developments
• 11.7 Nokia Corporation
  • 11.7.1 Overview
  • 11.7.2 Financial Performance
  • 11.7.3 Product Outlook
  • 11.7.4 Key Developments
• 11.8 Google LLC
  • 11.8.1 Overview
  • 11.8.2 Financial Performance
  • 11.8.3 Product Outlook
  • 11.8.4 Key Developments
• 11.9 Intel Corporation
  • 11.9.1 Overview
  • 11.9.2 Financial Performance
  • 11.9.3 Product Outlook
  • 11.9.4 Key Developments
• 11.10 Hewlett Packard Enterprise (HPE) Company
  • 11.10.1 Overview
  • 11.10.2 Financial Performance
  • 11.10.3 Product Outlook
  • 11.10.4 Key Developments

12 APPENDIX

• 12.1 Related Research