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市场调查报告书
商品编码
1932989

电信边缘分析市场，全球预测至 2032 年：按组件、部署模式、组织类型、用例、技术、最终用户和地区划分

Telecom Edge Analytics Market Forecasts to 2032 - Global Analysis By Component, Deployment Model, Organization Type, Use Case, Technology, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 | 商品交期: 2-3个工作天内

价格

根据 Stratistics MRC 的研究，预计到 2025 年，全球电信边缘分析市场规模将达到 102 亿美元，到 2032 年将达到 463 亿美元，预测期内复合年增长率为 24%。

电信边缘分析是指在通讯网路边缘，也就是使用者、设备和网路元素产生资料的位置附近，直接应用资料分析和人工智慧技术。在基地台、边缘伺服器、存取节点等本地处理数据，可实现即时洞察、超低延迟决策，并减少回程传输传至集中式云端的流量。电信边缘分析支援网路最佳化、预测性维护、诈欺侦测、服务品管和个人化客户体验等应用场景。这在 5G 和物联网环境中尤其重要，因为这些环境中大量资料和对延迟敏感的应用需要更快、更分散的智慧处理。

即时数据分析的需求日益增长

边缘资料处理平台能够降低延迟，加快决策速度。即时分析有助于优化流量、侦测诈欺行为和提升客户体验。供应商正在整合人工智慧驱动的框架，以提高响应速度和扩充性。银行、金融和保险 (BFSI)、医疗保健和零售等行业正在采用边缘分析来提升营运效率。对即时洞察的需求最终推动了市场扩张，并将边缘分析定位为电信创新的基础。

熟练的分析专业人员短缺

通讯业者难以找到管理复杂边缘生态系统所需的专业人才。专业技能的匮乏阻碍了分析技术与关键业务运作的融合。培训和技能提升需要大量的投资和时间。小规模业者尤其受到人才短缺的影响。缺乏熟练的专业人员最终限制了扩充性，并减缓了边缘分析平台的普及应用。

用于预测性网路维护的边缘人工智慧

该平台使营运商能够检测异常情况并预测故障发生。预测性维护可减少停机时间并提高客户满意度。供应商正在将人工智慧驱动的监控工具整合到边缘框架中，以推动其应用。通讯业者正在利用预测分析来优化资源分配并降低成本。用于维护的边缘人工智慧最终将增强电信网路的弹性，从而促进成长。

来自云端分析平台的竞争压力

云端服务供应商提供的可扩展解决方案足以媲美边缘部署。企业难以区分以云端为中心和以边缘为中心的模式。供应商强调降低延迟和本地智慧的优势，迫使他们不断调整市场定位策略。激烈的竞争导致价格压力和利润空间压缩。来自云端平台的持续竞争最终限制了边缘分析的发展，并减缓了其普及应用。

新冠疫情的感染疾病：

新冠疫情加速了数位化连接的发展，并因对弹性自动化通讯服务需求的激增而提高了对电信边缘分析的依赖。远距办公和数据流量的爆炸性增长给网路带来了前所未有的压力。通讯业者部署了边缘驱动的分析技术，以维持服务品质并增强网路弹性。预算限制最初减缓了成本敏感型市场对边缘分析技术的采用。对数位化客户参与的日益重视推动了对边缘平台的投资。新冠疫情最终强化了边缘分析作为通讯创新催化剂的战略重要性。

预计在预测期内，边缘分析平台软体细分市场将占据最大的市场份额。

由于市场对可扩展和可程式设计解决方案的需求，预计在预测期内，边缘分析平台软体细分市场将占据最大的市场份额。软体平台为在边缘处理和分析数据提供了必要的环境。通讯业者正在采用边缘分析软体来降低延迟并提高回应速度。供应商正在整合编配和监控工具以简化整合。大规模通讯业者的采用率正在迅速成长。边缘分析软体最终将透过支撑电信边缘部署而确立其主导。

预计在预测期内，预测性维护领域将呈现最高的复合年增长率。

在对灵活且经济高效的分析环境日益增长的需求推动下，预测性维护领域预计将在预测期内实现最高成长率。软体平台支援即时处理流量、客户资料和物联网讯号。营运商正在将边缘分析功能整合到关键任务应用程式中，以增强可扩展性。供应商正在提供云端原生边缘解决方案，以扩大可存取性。北美和欧洲的部署正在巩固主导。边缘分析软体最终将成为电信边缘部署的基础，从而进一步巩固其主导地位。

占比最大的地区：

由于北美拥有成熟的电信基础设施和强大的企业边缘分析平台应用，预计该地区在预测期内将保持最大的市场份额。美国在5G优化、物联网整合和边缘编配框架方面投入巨资，处于主导。加拿大则透过合规主导的分析解决方案和政府支持的数位化倡议来补充其成长。 AT&T、Verizon和T-Mobile等主要通讯业者的存在巩固了该地区的主导地位。对资料隐私和监管合规性日益增长的需求正在推动包括银行、金融和保险（BFSI）以及医疗保健在内的各个行业的应用。

年复合成长率最高的地区：

在预测期内，亚太地区预计将实现最高的复合年增长率，这主要得益于快速的数位化和不断扩展的电信生态系统。中国正大力投资边缘运算赋能的5G优化和预测性维护平台。印度凭藉其充满活力的Start-Ups生态系统和政府支持的电信数位化项目，正推动成长。日本和韩国则专注于企业自动化和边缘集成，积极推动智慧平台的应用。该地区的电信、银行、金融服务和保险（BFSI）以及电子商务行业正在推动对智慧平台的需求。

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  • 区域细分
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  • 竞争标竿分析
    • 根据主要企业的产品系列、地理覆盖范围和策略联盟进行基准分析

目录

第一章执行摘要

第二章 前言

  • 概括
  • 相关利益者
  • 调查范围
  • 调查方法
  • 研究材料

第三章 市场趋势分析

  • 司机
  • 抑制因素
  • 机会
  • 威胁
  • 技术分析
  • 终端用户分析
  • 新兴市场
  • 新冠疫情的感染疾病

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. 全球电信边缘分析市场（按组件划分）

  • 边缘分析平台软体
  • 即时数据处理引擎
  • 人工智慧和预测分析模组
  • 边缘整合和编配工具
  • 其他部件

6. 全球电信边缘分析市场依部署模式划分

  • 本地部署
  • 基于云端的

7. 全球电信边缘分析市场（依组织类型划分）

  • 通讯业者
  • 公司
  • 小型企业

8. 全球电信边缘分析市场（按用例划分）

  • 网路效能分析
  • 服务品质监控
  • 预测性维护
  • 客户和用户分析
  • 其他用例

9. 全球电信边缘分析市场（依技术划分）

  • 机器学习和人工智慧
  • 边缘和物联网资料处理
  • 云端原生架构
  • 基于 API 的集成
  • 其他技术

第十章 全球电信边缘分析市场（依最终用户划分）

  • 通讯服务供应商
  • 网际服务供应商
  • 行动虚拟网路营运商
  • 电信营运商
  • 其他最终用户

第十一章：全球电信边缘分析市场（按地区划分）

  • 北美洲
    • 我们
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 亚太其他地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 其他南美国家
  • 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

第十二章 重大进展

  • 协议、伙伴关係、合作和合资企业
  • 併购
  • 新产品发布
  • 业务拓展
  • 其他关键策略

第十三章：企业概况

  • Nokia Corporation
  • Ericsson AB
  • Huawei Technologies Co. Ltd.
  • Cisco Systems, Inc.
  • Amazon Web Services, Inc.
  • Microsoft Corporation
  • Google LLC
  • IBM Corporation
  • Oracle Corporation
  • SAP SE
  • Hewlett Packard Enterprise Company
  • Dell Technologies Inc.
  • Intel Corporation
  • NEC Corporation
  • Accenture plc
Product Code: SMRC33557

According to Stratistics MRC, the Global Telecom Edge Analytics Market is accounted for $10.2 billion in 2025 and is expected to reach $46.3 billion by 2032 growing at a CAGR of 24% during the forecast period. Telecom Edge Analytics refers to the application of data analytics and artificial intelligence directly at the edge of telecommunications networks, close to where data is generated by users, devices, and network elements. By processing data locally at base stations, edge servers, or access nodes, it enables real-time insights, ultra-low latency decision-making, and reduced backhaul traffic to centralized clouds. Telecom Edge Analytics supports use cases such as network optimization, predictive maintenance, fraud detection, quality-of-service management, and personalized customer experiences. It is especially critical for 5G and IoT environments, where massive data volumes and latency-sensitive applications demand faster, decentralized intelligence.

Market Dynamics:

Driver:

Growing demand for real-time data insights

Platforms that process data at the edge reduce latency and enable faster decision-making. Real-time analytics supports traffic optimization, fraud detection, and customer experience management. Vendors are integrating AI-powered frameworks to enhance responsiveness and scalability. Industries such as BFSI, healthcare, and retail are adopting edge analytics to strengthen operational efficiency. Demand for immediate insights is ultimately fueling market expansion by positioning edge analytics as a cornerstone of telecom innovation.

Restraint:

Limited skilled analytics professionals available

Telecom providers struggle to recruit experts capable of managing complex edge ecosystems. Lack of specialized skills slows integration of analytics into mission-critical operations. Training and reskilling initiatives require significant investment and time. Smaller operators are disproportionately affected by workforce limitations. Shortage of skilled professionals is ultimately restricting scalability and delaying widespread adoption of edge analytics platforms.

Opportunity:

Edge AI for predictive network maintenance

Platforms enable operators to detect anomalies and anticipate failures before they occur. Predictive maintenance reduces downtime and improves customer satisfaction. Vendors are embedding AI-driven monitoring tools into edge frameworks to broaden adoption. Telecom providers are leveraging predictive analytics to optimize resource allocation and reduce costs. Edge AI for maintenance is ultimately strengthening resilience and fueling growth in telecom networks.

Threat:

Competitive pressure from cloud analytics platforms

Cloud providers deliver scalable solutions that rival edge deployments. Enterprises encounter difficulty in differentiating between cloud-centric and edge-centric models. Vendors must refine positioning strategies to highlight latency reduction and localized intelligence advantages. Intense competition increases pricing pressure and compresses margins. Persistent rivalry with cloud platforms is ultimately constraining growth and slowing adoption of edge analytics.

Covid-19 Impact:

The Covid-19 pandemic accelerates digital connectivity and boosted reliance on Telecom Edge Analytics due to rising demand for resilient and automated telecom services. Remote work and surging data traffic placed unprecedented strain on networks. Operators deployed edge-driven analytics to maintain service quality and foster resilience. Budget constraints initially slowed adoption in cost-sensitive markets. Growing emphasis on digital customer engagement encouraged stronger investments in edge-enabled platforms. The pandemic ultimately reinforced the strategic importance of edge analytics as a catalyst for telecom innovation.

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

The edge analytics platform software segment is expected to account for the largest market share during the forecast period due to demand for scalable and programmable solutions. Software platforms provide the environment required to process and analyze data at the edge. Operators deploy edge analytics software to reduce latency and enhance responsiveness. Vendors are embedding orchestration and monitoring tools to simplify integration. Adoption across large telecom providers is expanding rapidly. Edge analytics software is ultimately consolidating leadership by anchoring the backbone of telecom edge deployments.

The predictive maintenance segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the predictive maintenance segment is predicted to witness the highest growth rate owing to rising demand for flexible and cost-efficient analytics environments. Software platforms support real-time processing of traffic flows, customer data, and IoT signals. Operators embed edge analytics into mission-critical applications to enhance scalability. Vendors are offering cloud-native edge solutions to broaden accessibility. Adoption across North America and Europe is consolidating leadership. Edge analytics software is ultimately strengthening dominance by forming the foundation of telecom edge adoption.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, anchored by mature telecom infrastructure and strong enterprise adoption of edge analytics platforms. The United States leads with significant investments in 5G optimization, IoT integration, and edge orchestration frameworks. Canada complements growth with compliance-driven analytics solutions and government-backed digital initiatives. Presence of major telecom providers such as AT&T, Verizon, and T-Mobile consolidates regional leadership. Rising demand for data privacy and regulatory compliance is shaping adoption across industries including BFSI and healthcare.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR due to rapid digitalization and expanding telecom ecosystems. China is investing heavily in edge-enabled 5G optimization and predictive maintenance platforms. India is fostering growth through a vibrant startup ecosystem and government-backed telecom digitization programs. Japan and South Korea are advancing adoption with strong emphasis on automation and enterprise edge integration. Telecom, BFSI, and e-commerce sectors across the region are driving demand for intelligent platforms.

Key players in the market

Some of the key players in Telecom Edge Analytics Market include Nokia Corporation, Ericsson AB, Huawei Technologies Co., Ltd., Cisco Systems, Inc., Amazon Web Services, Inc., Microsoft Corporation, Google LLC, IBM Corporation, Oracle Corporation, SAP SE, Hewlett Packard Enterprise Company, Dell Technologies Inc., Intel Corporation, NEC Corporation and Accenture plc.

Key Developments:

In October 2025, Cisco deepened its collaboration with T-Mobile by integrating its IoT Operations Dashboard with T-Mobile's 5G Advanced Network Solutions, creating a unified platform for managing and analyzing data from millions of distributed edge devices. This joint solution enables real-time analytics at the network edge, helping enterprises automate operations and derive immediate insights from IoT sensor data.

In June 2025, Huawei partnered with China Unicom to deploy an AI-powered edge analytics solution for their 5G Smart Railway project, enabling real-time predictive maintenance and operational efficiency. This collaboration integrated Huawei's Ascend AI processors with China Unicom's MEC platforms to process data directly at network edges along rail infrastructure.

Components Covered:

  • Edge Analytics Platform Software
  • Real-Time Data Processing Engines
  • AI & Predictive Analytics Modules
  • Edge Integration & Orchestration Tools
  • Other Components

Deployment Models Covered:

  • On-Premise
  • Cloud-Based

Organization Types Covered:

  • Telecom Operators
  • Enterprises
  • Small & Medium Enterprises

Use Cases Covered:

  • Network Performance Analytics
  • Quality of Service Monitoring
  • Predictive Maintenance
  • Customer & Subscriber Analytics
  • Other Use Cases

Technologies Covered:

  • Surface Water Monitoring
  • Groundwater Monitoring
  • Drinking Water Monitoring
  • Wastewater Monitoring

End Users Covered:

  • Telecom Service Providers
  • Internet Service Providers
  • Mobile Virtual Network Operators
  • Communication Providers
  • 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 Telecom Edge Analytics Market, By Component

  • 5.1 Introduction
  • 5.2 Edge Analytics Platform Software
  • 5.3 Real-Time Data Processing Engines
  • 5.4 AI & Predictive Analytics Modules
  • 5.5 Edge Integration & Orchestration Tools
  • 5.6 Other Components

6 Global Telecom Edge Analytics Market, By Deployment Model

  • 6.1 Introduction
  • 6.2 On-Premise
  • 6.3 Cloud-Based

7 Global Telecom Edge Analytics Market, By Organization Type

  • 7.1 Introduction
  • 7.2 Telecom Operators
  • 7.3 Enterprises
  • 7.4 Small & Medium Enterprises

8 Global Telecom Edge Analytics Market, By Use Case

  • 8.1 Introduction
  • 8.2 Network Performance Analytics
  • 8.3 Quality of Service Monitoring
  • 8.4 Predictive Maintenance
  • 8.5 Customer & Subscriber Analytics
  • 8.6 Other Use Cases

9 Global Telecom Edge Analytics Market, By Technology

  • 9.1 Introduction
  • 9.2 Machine Learning & AI
  • 9.3 Edge & IoT Data Processing
  • 9.4 Cloud-Native Architecture
  • 9.5 API-Based Integration
  • 9.6 Other Technologies

10 Global Telecom Edge Analytics Market, By End User

  • 10.1 Introduction
  • 10.2 Telecom Service Providers
  • 10.3 Internet Service Providers
  • 10.4 Mobile Virtual Network Operators
  • 10.5 Communication Providers
  • 10.6 Other End Users

11 Global Telecom Edge Analytics Market, By Geography

  • 11.1 Introduction
  • 11.2 North America
    • 11.2.1 US
    • 11.2.2 Canada
    • 11.2.3 Mexico
  • 11.3 Europe
    • 11.3.1 Germany
    • 11.3.2 UK
    • 11.3.3 Italy
    • 11.3.4 France
    • 11.3.5 Spain
    • 11.3.6 Rest of Europe
  • 11.4 Asia Pacific
    • 11.4.1 Japan
    • 11.4.2 China
    • 11.4.3 India
    • 11.4.4 Australia
    • 11.4.5 New Zealand
    • 11.4.6 South Korea
    • 11.4.7 Rest of Asia Pacific
  • 11.5 South America
    • 11.5.1 Argentina
    • 11.5.2 Brazil
    • 11.5.3 Chile
    • 11.5.4 Rest of South America
  • 11.6 Middle East & Africa
    • 11.6.1 Saudi Arabia
    • 11.6.2 UAE
    • 11.6.3 Qatar
    • 11.6.4 South Africa
    • 11.6.5 Rest of Middle East & Africa

12 Key Developments

  • 12.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 12.2 Acquisitions & Mergers
  • 12.3 New Product Launch
  • 12.4 Expansions
  • 12.5 Other Key Strategies

13 Company Profiling

  • 13.1 Nokia Corporation
  • 13.2 Ericsson AB
  • 13.3 Huawei Technologies Co. Ltd.
  • 13.4 Cisco Systems, Inc.
  • 13.5 Amazon Web Services, Inc.
  • 13.6 Microsoft Corporation
  • 13.7 Google LLC
  • 13.8 IBM Corporation
  • 13.9 Oracle Corporation
  • 13.10 SAP SE
  • 13.11 Hewlett Packard Enterprise Company
  • 13.12 Dell Technologies Inc.
  • 13.13 Intel Corporation
  • 13.14 NEC Corporation
  • 13.15 Accenture plc

List of Tables

  • Table 1 Global Telecom Edge Analytics Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global Telecom Edge Analytics Market Outlook, By Component (2024-2032) ($MN)
  • Table 3 Global Telecom Edge Analytics Market Outlook, By Edge Analytics Platform Software (2024-2032) ($MN)
  • Table 4 Global Telecom Edge Analytics Market Outlook, By Real-Time Data Processing Engines (2024-2032) ($MN)
  • Table 5 Global Telecom Edge Analytics Market Outlook, By AI & Predictive Analytics Modules (2024-2032) ($MN)
  • Table 6 Global Telecom Edge Analytics Market Outlook, By Edge Integration & Orchestration Tools (2024-2032) ($MN)
  • Table 7 Global Telecom Edge Analytics Market Outlook, By Other Components (2024-2032) ($MN)
  • Table 8 Global Telecom Edge Analytics Market Outlook, By Deployment Model (2024-2032) ($MN)
  • Table 9 Global Telecom Edge Analytics Market Outlook, By On-Premise (2024-2032) ($MN)
  • Table 10 Global Telecom Edge Analytics Market Outlook, By Cloud-Based (2024-2032) ($MN)
  • Table 11 Global Telecom Edge Analytics Market Outlook, By Organization Type (2024-2032) ($MN)
  • Table 12 Global Telecom Edge Analytics Market Outlook, By Telecom Operators (2024-2032) ($MN)
  • Table 13 Global Telecom Edge Analytics Market Outlook, By Enterprises (2024-2032) ($MN)
  • Table 14 Global Telecom Edge Analytics Market Outlook, By Small & Medium Enterprises (2024-2032) ($MN)
  • Table 15 Global Telecom Edge Analytics Market Outlook, By Use Case (2024-2032) ($MN)
  • Table 16 Global Telecom Edge Analytics Market Outlook, By Network Performance Analytics (2024-2032) ($MN)
  • Table 17 Global Telecom Edge Analytics Market Outlook, By Quality of Service Monitoring (2024-2032) ($MN)
  • Table 18 Global Telecom Edge Analytics Market Outlook, By Predictive Maintenance (2024-2032) ($MN)
  • Table 19 Global Telecom Edge Analytics Market Outlook, By Customer & Subscriber Analytics (2024-2032) ($MN)
  • Table 20 Global Telecom Edge Analytics Market Outlook, By Other Use Cases (2024-2032) ($MN)
  • Table 21 Global Telecom Edge Analytics Market Outlook, By Technology (2024-2032) ($MN)
  • Table 22 Global Telecom Edge Analytics Market Outlook, By Machine Learning & AI (2024-2032) ($MN)
  • Table 23 Global Telecom Edge Analytics Market Outlook, By Edge & IoT Data Processing (2024-2032) ($MN)
  • Table 24 Global Telecom Edge Analytics Market Outlook, By Cloud-Native Architecture (2024-2032) ($MN)
  • Table 25 Global Telecom Edge Analytics Market Outlook, By API-Based Integration (2024-2032) ($MN)
  • Table 26 Global Telecom Edge Analytics Market Outlook, By Other Technologies (2024-2032) ($MN)
  • Table 27 Global Telecom Edge Analytics Market Outlook, By End User (2024-2032) ($MN)
  • Table 28 Global Telecom Edge Analytics Market Outlook, By Telecom Service Providers (2024-2032) ($MN)
  • Table 29 Global Telecom Edge Analytics Market Outlook, By Internet Service Providers (2024-2032) ($MN)
  • Table 30 Global Telecom Edge Analytics Market Outlook, By Mobile Virtual Network Operators (2024-2032) ($MN)
  • Table 31 Global Telecom Edge Analytics Market Outlook, By Communication Providers (2024-2032) ($MN)
  • Table 32 Global Telecom Edge Analytics Market Outlook, By Other End Users (2024-2032) ($MN)

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