查看購物車
  • Simplified Chinese
  • English
  • Japanese
封面
市場調查報告書
商品編碼
1776706

邊緣運算市場預測至 2032 年：按組件、組織規模、部署類型、技術、最終用戶和地區進行的全球分析

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個工作天內

價格

根據 Stratistics MRC 的數據，全球邊緣運算市場預計在 2025 年達到 319 億美元，到 2032 年將達到 2,609 億美元，預測期內的複合年成長率為 35%。

被稱為「邊緣運算」的分散式運算範式將資料處理移至更靠近資料產生點的位置，而不是完全依賴集中式雲端伺服器。在網路邊緣或附近（例如本地邊緣伺服器、感測器或物聯網設備）處理數據，可以縮短回應時間、降低延遲並促進即時決策。這種方法對於需要即時處理的應用尤其有效，例如智慧城市、工業自動化和無人駕駛汽車。邊緣運算無需將敏感資料傳輸到遠端資料中心或雲端平台，從而顯著減少頻寬消耗並增強資料安全性和隱私性。

物聯網設備和數據產生的激增

邊緣運算的需求日益成長，它能夠在更靠近源頭的地方處理數據，從而降低延遲。工業自動化、智慧城市和無人駕駛汽車等應用都需要即時數據分析。邊緣運算減少了對集中式雲端基礎架構的依賴，並加快了決策速度。限制資料傳輸還能提高資料安全性和隱私性。因此，隨著物聯網應用的日益普及，邊緣運算市場正在迅速擴張。

安全和隱私問題

由於端點分散且通常不安全，邊緣資料處理增加了網路攻擊的可能性。與集中式雲端設定相比，邊緣設備可能缺乏強大的安全措施，更容易受到攻擊。維護資料完整性並遵守 GDPR 等法律法規變得更加困難。由於資料外洩和隱私外洩的風險，組織不願採用邊緣技術。這些問題推遲了邊緣技術的大規模採用，並增加了部署成本。

5G部署與AI融合

邊緣即時資料處理的改進正在減少對集中式雲端系統的依賴。人工智慧的整合進一步增強了這項能力，使智慧決策和分析能夠更接近資料來源。這種結合有利於遠距醫療、智慧製造和無人駕駛汽車等時間敏感型應用的發展。在各個產業，這種協同效應提高了擴充性、反應能力和效率。為了充分利用 5G 和人工智慧，越來越多的企業正在採用邊緣解決方案。

缺乏標準化和互通性

如果沒有標準通訊協定，來自眾多供應商的設備將難以有效通訊。這種碎片化會導致企業成本高昂，並加強實施難度。由於開發人員必須考慮多個不相容的平台，這也會抑制創新。此外，缺乏互通性會阻礙技術的廣泛應用，並降低可擴展擴充性。這阻礙了企業對尖端解決方案的投資，從而減緩了市場擴張。

COVID-19的影響

新冠疫情顯著加速了邊緣運算的採用，因為各組織都在尋求支援遠端辦公、最大程度降低延遲並確保即時資料處理。醫療保健、製造業和物流業對低延遲應用的需求激增，推動了邊緣運算的採用。然而，供應鏈中斷和計劃延遲最初阻礙了硬體部署。儘管有這些挑戰，但這場危機凸顯了分散式運算的重要性，並鼓勵企業加強對邊緣技術的投資，以增強疫情後的彈性、效率和資料安全性。

預計智慧城市領域將成為預測期內最大的領域

由於交通管理、監控和公共系統需要即時數據處理，預計智慧城市領域將在預測期內佔據最大的市場佔有率。在更靠近源頭的地方處理資料可以減少延遲和頻寬佔用，從而提高城市營運效率。邊緣運算支援智慧電網、智慧照明和廢棄物管理系統等智慧基礎設施。物聯網設備在智慧城市中的日益普及，推動了對在地化運算解決方案的需求。這種日益增強的整合度正在加速邊緣運算的採用，並推動市場成長。

預計大型企業部門在預測期內的複合年成長率最高

預計大型企業細分市場將在預測期內實現最高成長率，這得益於對低延遲資料處理以支援即時應用的旺盛需求。這些企業產生大量數據，需要高效的邊緣基礎設施來減少網路擁塞並更快地獲得洞察。這些企業正在大力投資人工智慧、物聯網和 5G 等先進技術，進一步加速邊緣運算的採用。大型企業優先考慮資料安全和法規遵循性，這使得在地化邊緣解決方案極具吸引力。大型企業雄厚的 IT 預算和對數位轉型的專注，正在推動市場持續成長。

佔比最大的地區：

在預測期內，由於物聯網設備的日益普及、5G 網路的擴展以及智慧城市和工業自動化對即時數據處理日益成長的需求，亞太地區預計將佔據最大的市場佔有率。中國、日本、韓國和印度等國家正積極投資數位基礎設施，推動資料在地化，並鼓勵從雲端到邊緣的遷移。大型通訊業者的出現和政府支持的數位化措施正在加速市場發展。此外，整合人工智慧的邊緣解決方案在零售、汽車和醫療保健領域日益普及，推動了創新和在地化資料處理能力的提升。

複合年成長率最高的地區：

由於早期技術採用、成熟的雲端生態系以及超大規模資料中心的集中，預計北美在預測期內的複合年成長率最高。美國和加拿大的企業對低延遲服務的需求日益成長，尤其是在自動駕駛汽車、智慧製造和擴增實境等領域。微軟、AWS 和Google等科技巨頭正在部署邊緣基礎設施以支援次世代應用程式。網路安全問題和即時分析的需求進一步推動了邊緣投資。法律規範和企業數位轉型策略持續加強該地區在邊緣運算創新方面的主導地位。

免費客製化服務：

此報告的訂閱者可以從以下免費自訂選項中選擇一項：

  • 公司簡介
    • 對最多三家其他市場公司進行全面分析
    • 主要企業的SWOT分析（最多3家公司）
  • 地理細分
    • 根據客戶興趣對主要國家進行的市場估計、預測和複合年成長率（註：基於可行性檢查）
  • 競爭基準化分析
    • 根據產品系列、地理分佈和策略聯盟對主要企業基準化分析

目錄

第1章執行摘要

第2章 前言

  • 概述
  • 相關利益者
  • 調查範圍
  • 調查方法
    • 資料探勘
    • 數據分析
    • 數據檢驗
    • 研究途徑
  • 研究材料
    • 主要研究資料
    • 次級研究資訊來源
    • 先決條件

第3章市場走勢分析

  • 驅動程式
  • 抑制因素
  • 機會
  • 威脅
  • 技術分析
  • 最終用戶分析
  • 新興市場
  • COVID-19的影響

第4章 波特五力分析

  • 供應商的議價能力
  • 買家的議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭對手之間的競爭

第5章全球邊緣運算市場（按組件）

  • 硬體
    • 感應器
    • 邊緣節點/閘道器
    • 路由器
    • 工業用電腦
  • 軟體
    • 邊緣資料管理
    • 分析和人工智慧軟體
    • 邊緣安全軟體
  • 服務
    • 諮詢
    • 整合與部署
    • 支援和維護
    • 託管服務

第6章：全球邊緣運算市場（依組織規模）

  • 主要企業
  • 小型企業

第7章全球邊緣運算市場（依部署類型）

  • 本地
  • 雲
  • 混合

第 8 章：全球邊緣運算市場（按技術）

  • 霧計算
  • 行動邊緣運算（MEC）
  • Cloudlets
  • 內容傳遞網路(CDN)

9. 全球邊緣運算市場（依最終用戶分類）

  • 能源與公共產業
  • 衛生保健
  • 車
  • 零售
  • 智慧城市
  • 運輸/物流
  • 通訊
  • 政府/國防
  • 媒體與娛樂
  • 其他最終用戶

第 10 章全球邊緣運算市場（按地區）

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲國家
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 其他亞太地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地區
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲地區

第11章 重大進展

  • 協議、夥伴關係、合作和合資企業
  • 收購與合併
  • 新產品發布
  • 業務擴展
  • 其他關鍵策略

第12章 公司概況

  • 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.