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市场调查报告书
商品编码
1822454

边缘运算和即时分析市场预测（至 2032 年）：按组件、部署模型、公司规模、技术、应用和地区进行的全球分析

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个工作天内

价格

根据 Stratistics MRC 的数据，全球边缘运算和即时分析市场预计在 2025 年达到 401 亿美元，到 2032 年将达到 2,760.5 亿美元，预测期内的复合年增长率为 31.7%。

边缘运算是一种分散式运算范式，它将资料处理移至更靠近来源（感测器、装置和本机伺服器）的位置，从而减少延迟和频宽占用。它透过最大限度地减少向集中式云端系统发送资料的需要，从而加快决策速度。即时分析技术会在资料产生时处理和分析，使企业能够立即回应不断变化的情况。边缘运算与即时分析的结合，使医疗保健、製造和运输等行业能够透过在网路边缘提供及时的、情境感知的情报，更快地响应洞察，提高营运效率并增强用户体验。

物联网设备的普及

物联网 (IoT) 设备的快速普及是边缘运算和即时分析市场的主要驱动力。这些设备会产生大量数据，需要即时处理才能实现快速回应的智慧系统。边缘运算在本地处理数据，从而减少延迟和频宽负担，而即时分析则可确保即时洞察。这种协同效应使各行各业能够优化营运、提高自动化程度并提供更智慧的服务，从而推动製造业、医疗保健和交通运输业等行业的市场成长。

缺乏标准化

市场面临的一个主要限制因素是跨平台、通讯协定和架构缺乏标准化。这种分散化使整合、互通性和扩充性变得复杂，尤其对于部署多供应商解决方案的公司而言。如果没有统一的标准，公司将面临确保一致的效能、安全性和资料管治的挑战。这阻碍了采用并减缓了创新，尤其是在医疗保健和金融等无缝连接和合规性至关重要且监管协调至关重要的领域。

5G网路扩充

5G 网路的全球部署为边缘运算和即时分析带来了变革性机会。凭藉超低延迟和高速连接，5G 能够实现更快的资料传输，并支援更复杂的分散式应用。这将提升边缘设备和分析平台的效能，使各行各业能够部署自动驾驶汽车、智慧城市和远距医疗等进阶使用案例。 5G 与边缘运算的综效将释放新的效率，并加速各产业的数位转型。

基础设施成本

高昂的基础设施成本对市场成长构成了重大威胁。部署边缘节点、维护本地伺服器以及整合即时分析平台都需要大量的资本支出。规模较小的公司可能难以应对定价问题，从而限制其市场渗透。此外，持续的维护、能源消耗和熟练的人力成本也增加了营运成本。这些经济障碍可能会减缓应用速度，尤其是在发展中地区，减缓创新和可扩展性的步伐。

COVID-19的影响

新冠疫情加速了数位转型，并刺激了边缘运算和即时分析的需求。远距营运、远端医疗和非接触式服务激增，对快速在局部资料处理的需求也随之增加。然而，供应链中断和预算限制暂时阻碍了基础设施的部署。疫情凸显了敏捷性和反应能力的重要性，并强化了边缘运算在所有产业面向未来营运的策略重要性。

预计软体领域将成为预测期内最大的领域

由于对用于管理、分析和可视化边缘数据的智慧平台的需求不断增长，预计软体领域将在预测期内占据最大的市场份额。软体解决方案能够与现有系统无缝集成，支援人工智慧主导的洞察，并为各种应用提供扩充性。随着各行各业寻求利用即时智能，软体将成为边缘部署的支柱，促进自动化、预测分析和增强决策能力。

预计医疗保健和生命科学领域在预测期内的复合年增长率最高

由于远端医疗、穿戴式医疗设备和人工智慧诊断技术的日益普及，医疗保健和生命科学领域预计将在预测期内实现最高成长率。边缘运算可确保资料隐私和低延迟处理。这些技术能够增强患者照护，简化医院运营，并支持个人化医疗，使其成为现代医疗保健生态系统的重要组成部分。

比最大的地区

由于快速的工业化进程、物联网技术的广泛应用以及政府大力支持智慧基础设施建设，预计亚太地区将在预测期内占据最大的市场份额。中国、日本和印度等国家正在大力投资製造业、交通运输业和医疗保健业等领域的数位转型。该地区庞大的人口和不断扩展的技术生态系统进一步扩大了对边缘运算解决方案的需求。

复合年增长率最高的地区

预计北美地区在预测期内将实现最高的复合年增长率，这得益于其强大的技术基础设施、先进分析技术的早期应用以及主要市场参与者的强大影响力。该地区专注于自主系统、智慧城市和医疗数位化的技术创新，推动了对边缘解决方案的需求。此外，对 5G 网路和法律规范的投资正在实现扩充性，从而加速市场扩张。

免费客製化服务

此报告的订阅者可以选择以下免费自订选项之一：

  • 公司简介
    • 全面分析其他市场参与者（最多 3 家公司）
    • 主要企业的SWOT分析（最多3家公司）
  • 区域细分
    • 根据客户兴趣对主要国家进行的市场估计、预测和复合年增长率（註：基于可行性检查）
  • 竞争基准化分析
    • 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
  • 应用分析
  • 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
  • 买方的议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争对手之间的竞争

5. 全球边缘运算和即时分析市场（按组件）

  • 硬体
    • 边缘设备
    • 边缘网关
    • 边缘伺服器
  • 软体
    • 边缘分析平台
    • 人工智慧和机器学习软体
    • 资料管理与编配软体
  • 服务
    • 专业服务
    • 託管服务

6. 按部署模式分類的全球边缘运算与即时分析市场

  • 本地部署
  • 云端基础
  • 杂交种

7. 全球边缘运算和即时分析市场（按公司规模）

  • 小型企业
  • 大公司

8. 全球边缘运算和即时分析市场（按技术）

  • 边缘人工智慧和机器学习
  • 5G边缘运算
  • 雾计算
  • 支援物联网的边缘分析
  • 流分析

9. 全球边缘运算与即时分析市场（按应用）

  • 智慧城市/城市基础设施
  • 工业物联网 (IIoT)/製造业
  • 国防/航太
  • 能源与公共产业
  • 医疗保健和生命科学
  • 零售与电子商务
  • 运输/物流
  • 其他的

第 10 章：按地区分類的全球边缘运算与即时分析市场

  • 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
    • 其他南美
  • 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 12 章：公司概况

  • 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.