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1822454

邊緣運算和即時分析市場預測（至 2032 年）：按組件、部署模型、公司規模、技術、應用和地區進行的全球分析

Edge Computing & Real-Time Analytics Market Forecasts to 2032 - Global Analysis By Component (Hardware, Software and Services), Deployment Model, Enterprise Size, Technology, Application 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，全球邊緣運算和即時分析市場預計在 2025 年達到 401 億美元，到 2032 年將達到 2,760.5 億美元，預測期內的複合年成長率為 31.7%。

邊緣運算是一種分散式運算範式，它將資料處理移至更靠近來源（感測器、裝置和本機伺服器）的位置，從而減少延遲和頻寬佔用。它透過最大限度地減少向集中式雲端系統發送資料的需要，從而加快決策速度。即時分析技術會在資料產生時處理和分析，使企業能夠立即回應不斷變化的情況。邊緣運算與即時分析的結合，使醫療保健、製造和運輸等行業能夠透過在網路邊緣提供及時的、情境感知的情報，更快地響應洞察，提高營運效率並增強用戶體驗。

物聯網設備的普及

物聯網 (IoT) 設備的快速普及是邊緣運算和即時分析市場的主要驅動力。這些設備會產生大量數據，需要即時處理才能實現快速回應的智慧系統。邊緣運算在本地處理數據，從而減少延遲和頻寬負擔，而即時分析則可確保即時洞察。這種協同效應使各行各業能夠最佳化營運、提高自動化程度並提供更智慧的服務，從而推動製造業、醫療保健和交通運輸業等行業的市場成長。

缺乏標準化

市場面臨的一個主要限制因素是跨平台、通訊協定和架構缺乏標準化。這種分散化使整合、互通性和擴充性變得複雜，尤其對於部署多供應商解決方案的公司而言。如果沒有統一的標準，公司將面臨確保一致的效能、安全性和資料管治的挑戰。這阻礙了採用並減緩了創新，尤其是在醫療保健和金融等無縫連接和合規性至關重要且監管協調至關重要的領域。

5G網路擴充

5G 網路的全球部署為邊緣運算和即時分析帶來了變革性機會。憑藉超低延遲和高速連接，5G 能夠實現更快的資料傳輸，並支援更複雜的分散式應用。這將提升邊緣設備和分析平台的效能，使各行各業能夠部署自動駕駛汽車、智慧城市和遠距醫療等進階使用案例。 5G 與邊緣運算的綜效將釋放新的效率，並加速各產業的數位轉型。

基礎設施成本

高昂的基礎設施成本對市場成長構成了重大威脅。部署邊緣節點、維護本地伺服器以及整合即時分析平台都需要大量的資本支出。規模較小的公司可能難以應對定價問題，從而限制其市場滲透。此外，持續的維護、能源消耗和熟練的人力成本也增加了營運成本。這些經濟障礙可能會減緩應用速度，尤其是在發展中地區，減緩創新和可擴展性的步伐。

COVID-19的影響

新冠疫情加速了數位轉型，並刺激了邊緣運算和即時分析的需求。遠距營運、遠端醫療和非接觸式服務激增，對快速在局部資料處理的需求也隨之增加。然而，供應鏈中斷和預算限制暫時阻礙了基礎設施的部署。疫情凸顯了敏捷性和反應能力的重要性，並強化了邊緣運算在所有產業面向未來營運的策略重要性。

預計軟體領域將成為預測期內最大的領域

由於對用於管理、分析和可視化邊緣數據的智慧平台的需求不斷成長，預計軟體領域將在預測期內佔據最大的市場佔有率。軟體解決方案能夠與現有系統無縫整合，支援人工智慧主導的洞察，並為各種應用提供擴充性。隨著各行各業尋求利用即時智慧，軟體將成為邊緣部署的支柱，促進自動化、預測分析和增強決策能力。

預計醫療保健和生命科學領域在預測期內的複合年成長率最高

由於遠端醫療、穿戴式醫療設備和人工智慧診斷技術的日益普及，醫療保健和生命科學領域預計將在預測期內實現最高成長率。邊緣運算可確保資料隱私和低延遲處理。這些技術能夠增強患者照護，簡化醫院營運，並支持個人化醫療，使其成為現代醫療保健生態系統的重要組成部分。

比最大的地區

由於快速的工業化進程、物聯網技術的廣泛應用以及政府大力支持智慧基礎設施建設，預計亞太地區將在預測期內佔據最大的市場佔有率。中國、日本和印度等國家正在大力投資製造業、交通運輸業和醫療保健業等領域的數位轉型。該地區龐大的人口和不斷擴展的技術生態系統進一步擴大了對邊緣運算解決方案的需求。

複合年成長率最高的地區

預計北美地區在預測期內將實現最高的複合年成長率，這得益於其強大的技術基礎設施、先進分析技術的早期應用以及主要市場參與者的強大影響力。該地區專注於自主系統、智慧城市和醫療數位化的技術創新，推動了對邊緣解決方案的需求。此外，對 5G 網路和法律規範的投資正在實現擴充性，從而加速市場擴張。

免費客製化服務

此報告的訂閱者可以選擇以下免費自訂選項之一：

  • 公司簡介
    • 全面分析其他市場參與者（最多 3 家公司）
    • 主要企業的SWOT分析（最多3家公司）
  • 區域細分
    • 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
  • 應用分析
  • 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
  • 買方的議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭對手之間的競爭

5. 全球邊緣運算和即時分析市場（按組件）

  • 硬體
    • 邊緣設備
    • 邊緣閘道器
    • 邊緣伺服器
  • 軟體
    • 邊緣分析平台
    • 人工智慧和機器學習軟體
    • 資料管理與編配軟體
  • 服務
    • 專業服務
    • 託管服務

6. 按部署模式分類的全球邊緣運算與即時分析市場

  • 本地部署
  • 雲端基礎
  • 混合

7. 全球邊緣運算和即時分析市場（按公司規模）

  • 小型企業
  • 主要企業

8. 全球邊緣運算和即時分析市場（按技術）

  • 邊緣人工智慧和機器學習
  • 5G邊緣運算
  • 霧計算
  • 支援物聯網的邊緣分析
  • 流分析

9. 全球邊緣運算與即時分析市場（按應用）

  • 智慧城市/城市基礎設施
  • 工業物聯網 (IIoT)/製造業
  • 國防/航太
  • 能源與公共產業
  • 醫療保健和生命科學
  • 零售與電子商務
  • 運輸/物流
  • 其他

第 10 章：按地區分類的全球邊緣運算與即時分析市場

  • 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
    • 其他南美
  • 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

  • Microsoft
  • SAP
  • Google
  • Huawei
  • Amazon Web Services（AWS）
  • Oracle
  • IBM
  • Siemens
  • Cisco
  • Intel
  • NVIDIA
  • Hewlett Packard Enterprise（HPE）
  • Dell Technologies
  • Ericsson
  • Schneider Electric
  • Fujitsu
  • GE Digital
  • ADLINK Technology
Product Code: SMRC31209

According to Stratistics MRC, the Global Edge Computing & Real-Time Analytics Market is accounted for $40.1 billion in 2025 and is expected to reach $276.05 billion by 2032 growing at a CAGR of 31.7% during the forecast period. Edge computing is a distributed computing paradigm that brings data processing closer to the source-such as sensors, devices, or local servers-reducing latency and bandwidth usage. It enables faster decision-making by minimizing the need to send data to centralized cloud systems. Real-time analytics refers to the immediate processing and analysis of data as it is generated, allowing organizations to respond instantly to changing conditions. Together, edge computing and real-time analytics empower industries like healthcare, manufacturing, and transportation to act on insights quickly, improve operational efficiency, and enhance user experiences by delivering timely, context-aware intelligence at the network's edge.

Market Dynamics:

Driver:

Explosion of IoT Devices

The rapid proliferation of Internet of Things (IoT) devices is a major driver for the edge computing and real-time analytics market. These devices generate massive volumes of data that require immediate processing to enable responsive, intelligent systems. Edge computing reduces latency and bandwidth strain by processing data locally, while real-time analytics ensures instant insights. This synergy empowers industries to optimize operations, enhance automation, and deliver smarter services, fueling market growth across sectors like manufacturing, healthcare, and transportation.

Restraint:

Lack of Standardization

A significant restraint in the market is the lack of standardization across platforms, protocols, and architectures. This fragmentation complicates integration, interoperability, and scalability, especially for enterprises deploying multi-vendor solutions. Without unified standards, organizations face challenges in ensuring consistent performance, security, and data governance. This hinders widespread adoption and slows innovation, particularly in sectors requiring seamless connectivity and compliance, such as healthcare and finance, where regulatory alignment is critical.

Opportunity:

5G Network Expansion

The global rollout of 5G networks presents a transformative opportunity for edge computing and real-time analytics. With ultra-low latency and high-speed connectivity, 5G enables faster data transmission and supports more complex, distributed applications. This enhances the performance of edge devices and analytics platforms, allowing industries to deploy advanced use cases like autonomous vehicles, smart cities, and remote healthcare. The synergy between 5G and edge computing will unlock new efficiencies and accelerate digital transformation across sectors.

Threat:

Infrastructure Costs

High infrastructure costs pose a significant threat to the growth of the market. Deploying edge nodes, maintaining local servers, and integrating real-time analytics platforms require substantial capital investment. Smaller enterprises may struggle with affordability, limiting market penetration. Additionally, ongoing maintenance, energy consumption, and skilled personnel add to operational expenses. These financial barriers can delay adoption, especially in developing regions, and may slow the pace of innovation and scalability.

Covid-19 Impact

The Covid-19 pandemic accelerated digital transformation, boosting demand for edge computing and real-time analytics. Remote operations, telemedicine, and contactless services surged, requiring fast, localized data processing. However, supply chain disruptions and budget constraints temporarily hindered infrastructure deployment. The pandemic highlighted the need for agility and responsiveness, reinforcing the strategic importance of edge computing in future-proofing operations across industries.

The software segment is expected to be the largest during the forecast period

The software segment is expected to account for the largest market share during the forecast period, due to increasing demand for intelligent platforms that manage, analyze, and visualize data at the edge. Software solutions enable seamless integration with existing systems, support AI-driven insights, and offer scalability across diverse applications. As industries seek to harness real-time intelligence, software becomes the backbone of edge deployments, facilitating automation, predictive analytics, and enhanced decision-making.

The healthcare & life sciences segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the healthcare & life sciences segment is predicted to witness the highest growth rate, due to rising adoption of telemedicine, wearable health devices, and AI-powered diagnostics. Real-time analytics enables immediate clinical insights, while edge computing ensures data privacy and low-latency processing. These technologies enhance patient care, streamline hospital operations, and support personalized medicine, making them indispensable in modern healthcare ecosystems.

Region with largest share:

During the forecast period, the Asia Pacific region is expected to hold the largest market share attributed to rapid industrialization, widespread adoption of IoT technologies, and government initiatives supporting smart infrastructure. Countries like China, Japan, and India are investing heavily in digital transformation across sectors such as manufacturing, transportation, and healthcare. The region's large population and expanding tech ecosystem further amplify demand for edge-enabled solutions.

Region with highest CAGR:

Over the forecast period, the North America region is anticipated to exhibit the highest CAGR, owing to robust technological infrastructure, early adoption of advanced analytics, and strong presence of key market players. The region's focus on innovation in autonomous systems, smart cities, and healthcare digitization fuels demand for edge solutions. Additionally, supportive regulatory frameworks and investments in 5G networks enhance scalability and accelerate market expansion.

Key players in the market

Some of the key players profiled in the Edge Computing & Real-Time Analytics Market include Microsoft, SAP, Google, Huawei, Amazon Web Services (AWS), Oracle, IBM, Siemens, Cisco, Intel, NVIDIA, Hewlett Packard Enterprise (HPE), Dell Technologies, Ericsson, Schneider Electric, Fujitsu, GE Digital and ADLINK Technology.

Key Developments:

In March 2025, Microsoft and the Government of Kuwait announced a strategic partnership to establish an AI-powered Azure Region, aligning with Kuwait's Vision 2035. This initiative aims to enhance local AI capabilities, drive economic growth, and foster innovation across industries.

In January 2025, Microsoft and OpenAI deepened their collaboration, extending their strategic partnership. Microsoft retains exclusive rights to OpenAI's intellectual property, integrates OpenAI's models into products like Copilot, and maintains exclusive access to OpenAI's APIs via Azure.

Components Covered:

  • Hardware
  • Software
  • Services

Deployment Models Covered:

  • On-Premises
  • Cloud-Based
  • Hybrid

Enterprise Sizes Covered:

  • Small & Medium Enterprises (SMEs)
  • Large Enterprises

Technologies Covered:

  • Edge AI & Machine Learning
  • 5G-Enabled Edge Computing
  • Fog Computing
  • IoT-Enabled Edge Analytics
  • Streaming Analytics

Applications Covered:

  • Smart Cities & Urban Infrastructure
  • Industrial IoT (IIoT) & Manufacturing
  • Defense & Aerospace
  • Energy & Utilities
  • Healthcare & Life Sciences
  • Retail & E-commerce
  • Transportation & Logistics
  • Other Applications

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 Application 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 & Real-Time Analytics Market, By Component

  • 5.1 Introduction
  • 5.2 Hardware
    • 5.2.1 Edge Devices
    • 5.2.2 Edge Gateways
    • 5.2.3 Edge Servers
  • 5.3 Software
    • 5.3.1 Edge Analytics Platforms
    • 5.3.2 AI & Machine Learning Software
    • 5.3.3 Data Management & Orchestration Software
  • 5.4 Services
    • 5.4.1 Professional Services
    • 5.4.2 Managed Services

6 Global Edge Computing & Real-Time Analytics Market, By Deployment Model

  • 6.1 Introduction
  • 6.2 On-Premises
  • 6.3 Cloud-Based
  • 6.4 Hybrid

7 Global Edge Computing & Real-Time Analytics Market, By Enterprise Size

  • 7.1 Introduction
  • 7.2 Small & Medium Enterprises (SMEs)
  • 7.3 Large Enterprises

8 Global Edge Computing & Real-Time Analytics Market, By Technology

  • 8.1 Introduction
  • 8.2 Edge AI & Machine Learning
  • 8.3 5G-Enabled Edge Computing
  • 8.4 Fog Computing
  • 8.5 IoT-Enabled Edge Analytics
  • 8.6 Streaming Analytics

9 Global Edge Computing & Real-Time Analytics Market, By Application

  • 9.1 Introduction
  • 9.2 Smart Cities & Urban Infrastructure
  • 9.3 Industrial IoT (IIoT) & Manufacturing
  • 9.4 Defense & Aerospace
  • 9.5 Energy & Utilities
  • 9.6 Healthcare & Life Sciences
  • 9.7 Retail & E-commerce
  • 9.8 Transportation & Logistics
  • 9.9 Other Applications

10 Global Edge Computing & Real-Time Analytics 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 Microsoft
  • 12.2 SAP
  • 12.3 Google
  • 12.4 Huawei
  • 12.5 Amazon Web Services (AWS)
  • 12.6 Oracle
  • 12.7 IBM
  • 12.8 Siemens
  • 12.9 Cisco
  • 12.10 Intel
  • 12.11 NVIDIA
  • 12.12 Hewlett Packard Enterprise (HPE)
  • 12.13 Dell Technologies
  • 12.14 Ericsson
  • 12.15 Schneider Electric
  • 12.16 Fujitsu
  • 12.17 GE Digital
  • 12.18 ADLINK Technology

List of Tables

  • Table 1 Global Edge Computing & Real-Time Analytics Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global Edge Computing & Real-Time Analytics Market Outlook, By Component (2024-2032) ($MN)
  • Table 3 Global Edge Computing & Real-Time Analytics Market Outlook, By Hardware (2024-2032) ($MN)
  • Table 4 Global Edge Computing & Real-Time Analytics Market Outlook, By Edge Devices (2024-2032) ($MN)
  • Table 5 Global Edge Computing & Real-Time Analytics Market Outlook, By Edge Gateways (2024-2032) ($MN)
  • Table 6 Global Edge Computing & Real-Time Analytics Market Outlook, By Edge Servers (2024-2032) ($MN)
  • Table 7 Global Edge Computing & Real-Time Analytics Market Outlook, By Software (2024-2032) ($MN)
  • Table 8 Global Edge Computing & Real-Time Analytics Market Outlook, By Services (2024-2032) ($MN)
  • Table 9 Global Edge Computing & Real-Time Analytics Market Outlook, By Professional Services (2024-2032) ($MN)
  • Table 10 Global Edge Computing & Real-Time Analytics Market Outlook, By Managed Services (2024-2032) ($MN)
  • Table 11 Global Edge Computing & Real-Time Analytics Market Outlook, By Deployment Model (2024-2032) ($MN)
  • Table 12 Global Edge Computing & Real-Time Analytics Market Outlook, By On-Premises (2024-2032) ($MN)
  • Table 13 Global Edge Computing & Real-Time Analytics Market Outlook, By Cloud-Based (2024-2032) ($MN)
  • Table 14 Global Edge Computing & Real-Time Analytics Market Outlook, By Hybrid (2024-2032) ($MN)
  • Table 15 Global Edge Computing & Real-Time Analytics Market Outlook, By Enterprise Size (2024-2032) ($MN)
  • Table 16 Global Edge Computing & Real-Time Analytics Market Outlook, By Small & Medium Enterprises (SMEs) (2024-2032) ($MN)
  • Table 17 Global Edge Computing & Real-Time Analytics Market Outlook, By Large Enterprises (2024-2032) ($MN)
  • Table 18 Global Edge Computing & Real-Time Analytics Market Outlook, By Technology (2024-2032) ($MN)
  • Table 19 Global Edge Computing & Real-Time Analytics Market Outlook, By Edge AI & Machine Learning (2024-2032) ($MN)
  • Table 20 Global Edge Computing & Real-Time Analytics Market Outlook, By 5G-Enabled Edge Computing (2024-2032) ($MN)
  • Table 21 Global Edge Computing & Real-Time Analytics Market Outlook, By Fog Computing (2024-2032) ($MN)
  • Table 22 Global Edge Computing & Real-Time Analytics Market Outlook, By IoT-Enabled Edge Analytics (2024-2032) ($MN)
  • Table 23 Global Edge Computing & Real-Time Analytics Market Outlook, By Streaming Analytics (2024-2032) ($MN)
  • Table 24 Global Edge Computing & Real-Time Analytics Market Outlook, By Application (2024-2032) ($MN)
  • Table 25 Global Edge Computing & Real-Time Analytics Market Outlook, By Smart Cities & Urban Infrastructure (2024-2032) ($MN)
  • Table 26 Global Edge Computing & Real-Time Analytics Market Outlook, By Industrial IoT (IIoT) & Manufacturing (2024-2032) ($MN)
  • Table 27 Global Edge Computing & Real-Time Analytics Market Outlook, By Defense & Aerospace (2024-2032) ($MN)
  • Table 28 Global Edge Computing & Real-Time Analytics Market Outlook, By Energy & Utilities (2024-2032) ($MN)
  • Table 29 Global Edge Computing & Real-Time Analytics Market Outlook, By Healthcare & Life Sciences (2024-2032) ($MN)
  • Table 30 Global Edge Computing & Real-Time Analytics Market Outlook, By Retail & E-commerce (2024-2032) ($MN)
  • Table 31 Global Edge Computing & Real-Time Analytics Market Outlook, By Transportation & Logistics (2024-2032) ($MN)
  • Table 32 Global Edge Computing & Real-Time Analytics Market Outlook, By Other Applications (2024-2032) ($MN)

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