首頁 > 市場調查報告書 > 通訊

IoT 雲端服務邊緣運算

市場調查報告書

商品編碼

2035462

通訊產業邊緣運算市場預測（至2034年）－按組件、部署模式、組織規模、技術、應用、最終用戶和地區分類的全球分析

Edge Computing in Telecom Market Forecasts to 2034 - Global Analysis By Component (Hardware, Software and Services), Deployment Mode, Organization Size, Technology, Application, End User and By Geography

出版日期: 2026年05月11日 | 出版商:

Stratistics Market Research Consulting | 英文 | 商品交期: 2-3個工作天內

價格

簡介目錄圖表

根據 Stratistics MRC 的數據，預計到 2026 年，全球通訊產業的邊緣運算市場規模將達到 180 億美元，並在預測期內以 30.8% 的複合年成長率成長，到 2034 年將達到 1,550 億美元。

電信業的邊緣運算是指在網路邊緣（更靠近終端用戶和連網設備）部署資料處理和儲存能力。這種架構可以降低延遲、緩解核心網路擁塞，並為頻寬應用提供即時分析。將邊緣節點與 5G 基礎設施整合，使通訊業者能夠支援自動駕駛汽車、智慧城市和工業自動化等關鍵應用場景。因此，邊緣運算可以提高網路回應速度、改善用戶體驗、降低資料傳輸成本，並透過低延遲服務開闢新的收入來源。

5G和連網設備的快速成長正在推動邊緣部署。

傳統的集中式雲端架構難以應對現代應用的大量資料、超低延遲要求和頻寬限制。邊緣運算透過在本地處理資料來解決這些瓶頸，將往返延遲降低到毫秒級。這對於自動駕駛、遠端手術和即時工業控制等對時間要求極高的服務至關重要。此外，通訊業者可以透過卸載核心網路流量來避免昂貴的基礎設施升級。隨著 5G 在全球加速部署，邊緣分散式智慧的需求變得至關重要，這直接推動了對邊緣節點、編配軟體和整合硬體解決方案的投資。

高昂的實施成本

與集中式資料中心不同，邊緣節點需要在基地台、街邊機櫃或用戶場所等廣泛部署，導致硬體、空間和維護成本更高。管理數千個地理位置分散的節點給遠端監控、軟體更新、安全性修補程式和資源編配帶來了挑戰。此外，傳統網路設備與新型邊緣平台之間的互通性問題可能會延誤部署進度。不同廠商之間缺乏標準化的邊緣架構進一步加劇了多廠商環境的複雜性。

對延遲敏感型應用的興起

擴增實境(AR)、虛擬實境 (VR)、雲端遊戲和工業IoT(IIoT) 等對延遲敏感、資料密集型應用的興起，為通訊業的邊緣運算帶來了巨大的成長機會。這些應用需要即時處理，而集中式雲端無法滿足這項需求。透過在邊緣部署運算能力，通訊業者可以提供差異化服務，例如超低延遲連接、本地資料分離和邊緣人工智慧推理。此外，與內容供應商、自動駕駛車隊和智慧城市專案建立合作關係，還能讓通訊業者透過收益分成模式實現邊緣基礎設施的商業化。

網路安全風險和資料隱私問題日益加劇

每個邊緣節點，由於實體安全措施往往不足，都可能遭受篡改、惡意軟體注入或資料攔截。一旦邊緣設備遭到入侵，就可能成為核心網路的入口點，導致服務中斷和敏感資料外洩的風險。此外，來自多個端點的資料聚合會引發隱私問題，尤其是在 GDPR 等法規的約束下。確保數千個地理位置分散的節點採用一致的安全策略、加密和存取控制，在技術上極具挑戰性，且成本高昂。

新冠疫情的影響：

新冠疫情初期，遠距辦公、線上學習和串流媒體流量的空前激增給通訊網路帶來了巨大壓力。封鎖措施延緩了基礎設施部署，並擾亂了邊緣硬體的供應鏈。然而，這場危機凸顯了分散式運算對於防止網路擁塞和維持服務品質的迫切性。通訊業者加快了對邊緣運算的投資，以應對本地流量激增、減輕回程傳輸負載，並支援遠端醫療和遠端協作工具。疫情猶如一次壓力測試，顯示僅靠集中式模型不足以應付未來的各種挑戰。

在預測期內，硬體領域預計將佔據最大的市場佔有率。

由於對邊緣伺服器、閘道器、基地台運算模組和網路設備等實體邊緣基礎設施的基本需求，預計硬體領域在預測期內將佔據最大的市場佔有率。通訊業者需要在數千個邊緣節點部署實體硬體以實現本地處理。持續進行的5G小型基地台部署和無線接取網路（RAN）升級將進一步增加硬體需求。此外，更新周期和容量擴張也將確保永續的收入。

預計在預測期內，軟體領域將呈現最高的複合年成長率。

在預測期內，軟體領域預計將呈現最高的成長率。隨著邊緣硬體的商品化，差異化重點正轉向邊緣編配平台、人工智慧驅動的分析、安全軟體和應用部署工具。通訊業者需要先進的軟體來管理分散式節點、自動化生命週期操作並部署第三方應用程式。網路功能虛擬化 (NFV) 和軟體定義網路 (SDN) 的日益普及進一步推動了軟體需求。

市佔率最大的地區：

在預測期內，由於AT&T、Verizon和T-Mobile等主要通訊業者早期且廣泛地部署了5G網路，北美預計將佔據最大的市場佔有率。包括亞馬遜網路服務（AWS）和微軟Azure在內的領先雲端和邊緣技術提供商的存在，正在推動快速創新。此外，對自動駕駛汽車、智慧城市專案和工業自動化的強勁需求，也在加速邊緣技術的應用。

複合年成長率最高的地區：

在預測期內，亞太地區預計將呈現最高的複合年成長率。中國、印度、日本和韓國5G的快速部署，以及工業IoT在製造地的廣泛應用，正在推動邊緣運算的需求。各國政府積極支持智慧城市建設和數位轉型，為邊緣運算的部署創造了有利環境。此外，當地通訊業者和技術供應商也在積極投資邊緣基礎設施，以應對日益成長的數據流量，這使得亞太地區成為成長最快的區域市場。

免費客製化服務：

所有購買此報告的客戶均可享受以下免費自訂選項之一：

企業概況
- 對其他市場公司（最多 3 家公司）進行全面分析
- 對主要公司進行SWOT分析（最多3家公司）
區域細分
- 應客戶要求，我們提供主要國家的市場估算和預測，以及複合年成長率（註：需進行可行性檢查）。
競爭性標竿分析
- 根據產品系列、地理覆蓋範圍和策略聯盟對領先公司進行基準分析。

北美洲
- 美國
- 加拿大
- 墨西哥
歐洲
- 英國
- 德國
- 法國
- 義大利
- 西班牙
- 荷蘭
- 比利時
- 瑞典
- 瑞士
- 波蘭
- 其他歐洲國家
亞太地區
- 中國
- 日本
- 印度
- 韓國
- 澳洲
- 印尼
- 泰國
- 馬來西亞
- 新加坡
- 越南
- 其他亞太國家
南美洲
- 巴西
- 阿根廷
- 哥倫比亞
- 智利
- 秘魯
- 其他南美國家
世界其他地區（RoW）
- 中東
  - 沙烏地阿拉伯
  - 阿拉伯聯合大公國
  - 卡達
  - 以色列
  - 其他中東國家
- 非洲
  - 南非
  - 埃及
  - 摩洛哥
  - 其他非洲國家

第12章策略市場資訊

工業價值網路和供應鏈評估
空白區域和機會地圖
產品演進與市場生命週期分析
通路、經銷商和打入市場策略的評估

第13章產業趨勢與策略舉措

併購
夥伴關係、聯盟和合資企業
新產品發布和認證
擴大生產能力和投資
其他策略舉措

第14章：公司簡介

Huawei Technologies Co., Ltd.
Nokia Corporation
Ericsson AB
Cisco Systems, Inc.
Hewlett Packard Enterprise（HPE）
IBM Corporation
Microsoft Corporation（Azure Edge）
Amazon Web Services（AWS）
Intel Corporation
Dell Technologies Inc.
ZTE Corporation
Juniper Networks, Inc.
AT&T Inc.
Verizon Communications Inc.
Google LLC

簡介目錄圖表

Product Code: SMRC35520

According to Stratistics MRC, the Global Edge Computing in Telecom Market is accounted for $18.0 billion in 2026 and is expected to reach $155.0 billion by 2034 growing at a CAGR of 30.8% during the forecast period. Edge computing in telecom is the deployment of data processing and storage capabilities at the network edge, closer to end-users and connected devices. This architecture reduces latency, alleviates core network congestion, and enables real-time analytics for bandwidth-intensive applications. By integrating edge nodes with 5G infrastructure, telecom operators can support critical use cases such as autonomous vehicles, smart cities, and industrial automation. Consequently, edge computing enhances network responsiveness, improves customer experience, lowers data transmission costs, and unlocks new revenue streams through low-latency services.

Market Dynamics:

Driver:

Exponential Growth of 5G and Connected Devices Driving Edge Adoption

Traditional centralized cloud architectures struggle to handle the massive data volumes, ultra-low latency requirements, and bandwidth constraints of modern applications. Edge computing resolves these bottlenecks by processing data locally, reducing round-trip delays to milliseconds. This is critical for time-sensitive services like autonomous driving, remote surgery, and real-time industrial controls. Furthermore, telecom operators can offload core network traffic, avoiding expensive infrastructure upgrades. As 5G rollouts accelerate globally, the need for distributed intelligence at the edge becomes indispensable, directly driving investments in edge nodes, orchestration software, and integrated hardware solutions.

Restraint:

High Deployment Costs

Unlike centralized data centers, edge nodes require widespread physical placement at base stations, street cabinets, or customer premises, leading to higher hardware, real estate, and maintenance costs. Managing thousands of geographically distributed nodes introduces challenges in remote monitoring, software updates, security patching, and resource orchestration. Additionally, interoperability issues between legacy network equipment and new edge platforms can slow deployment timelines. The lack of standardized edge architecture across vendors further complicates multi-vendor environments.

Opportunity:

Emergence of Latency-Sensitive Applications

The rise of latency-sensitive and data-intensive applications, including augmented reality (AR), virtual reality (VR), cloud gaming, and industrial IoT (IIoT), presents a significant growth avenue for edge computing in telecom. These applications demand real-time processing that centralized clouds cannot deliver. By embedding compute capabilities at the edge, telecom operators can offer differentiated services such as ultra-low-latency connectivity, local data breakout, and edge AI inference. Furthermore, partnerships with content providers, autonomous vehicle fleets, and smart city initiatives allow telcos to monetize edge infrastructure through revenue-sharing models.

Threat:

Rising Cybersecurity Risks and Data Privacy Concerns

Each edge location, often physically unsecured, can be vulnerable to tampering, malware injection, or data interception. Compromised edge devices may serve as entry points to core networks, risking service disruption or sensitive data leaks. Additionally, the aggregation of data from multiple endpoints raises privacy concerns, particularly under regulations like GDPR. Ensuring consistent security policies, encryption, and access controls across thousands of geographically dispersed nodes is technically challenging and costly.

Covid-19 Impact:

The COVID-19 pandemic initially strained telecom networks due to unprecedented surges in remote work, online learning, and streaming traffic. Lockdowns delayed infrastructure deployment and disrupted supply chains for edge hardware. However, the crisis also underscored the urgency of decentralized computing to prevent network congestion and maintain service quality. Telecom operators accelerated edge investments to handle traffic spikes locally, reduce backhaul loads, and support telehealth and remote collaboration tools. The pandemic acted as a stress test, revealing that centralized models alone are insufficient for future disruptions.

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

The hardware segment is expected to account for the largest market share during the forecast period, due to the fundamental requirement for physical edge infrastructure, including edge servers, gateways, base station compute modules, and networking equipment. Telecom operators must deploy tangible hardware at thousands of edge locations to enable local processing. The ongoing rollout of 5G small cells and radio access network (RAN) upgrades further amplifies hardware demand. Additionally, replacement cycles and capacity expansions ensure sustained revenue.

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

Over the forecast period, the software segment is predicted to witness the highest growth rate. As edge hardware becomes commoditized, differentiation shifts to edge orchestration platforms, AI-driven analytics, security software, and application enablement tools. Telecom operators require sophisticated software to manage distributed nodes, automate lifecycle operations, and onboard third-party applications. The growing adoption of Network Function Virtualization (NFV) and Software-Defined Networking (SDN) further drives software demand.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, due to early and extensive 5G deployments by major telecom operators such as AT&T, Verizon, and T-Mobile. The presence of leading cloud and edge technology providers, including Amazon Web Services (AWS) and Microsoft Azure, fosters rapid innovation. Additionally, strong demand for autonomous vehicles, smart city projects, and industrial automation accelerates edge adoption.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR. Rapid 5G rollouts in China, India, Japan, and South Korea, combined with massive industrial IoT adoption in manufacturing hubs, fuel edge computing demand. Governments are actively supporting smart city initiatives and digital transformation, creating fertile ground for edge deployments. Additionally, local telecom operators and technology vendors are aggressively investing in edge infrastructure to capture growing data traffic, making Asia Pacific the fastest-growing regional market.

Key players in the market

Some of the key players in Edge Computing in Telecom Market include Huawei Technologies Co., Ltd., Nokia Corporation, Ericsson AB, Cisco Systems, Inc., Hewlett Packard Enterprise (HPE), IBM Corporation, Microsoft Corporation (Azure Edge), Amazon Web Services (AWS), Intel Corporation, Dell Technologies Inc., ZTE Corporation, Juniper Networks, Inc., AT&T Inc., Verizon Communications Inc., and Google LLC.

Key Developments:

In April 2026, IBM announced a strategic collaboration with Arm to develop new dual-architecture hardware that helps enterprises run future AI and data intensive workloads with greater flexibility, reliability, and security. IBM's leadership in system design, from silicon to software and security, has helped enterprises adopt emerging technologies with the scale and reliability required for mission-critical workloads.

In March 2026, Oracle announced the latest updates to Oracle AI Agent Studio for Fusion Applications, a complete development platform for building, connecting, and running AI automation and agentic applications. The latest updates to Oracle AI Agent Studio include a new agentic applications builder as well as new capabilities that support workflow orchestration, content intelligence, contextual memory, and ROI measurement.

Components Covered:

Hardware
Software
Services

Deployment Modes Covered:

On-Premises Edge
Cloud-Based Edge
Hybrid Edge Infrastructure

Organization Sizes Covered:

Large Enterprises
Small & Medium Enterprises (SMEs)

Technologies Covered:

Multi-Access Edge Computing (MEC)
Edge AI & Machine Learning
Network Function Virtualization (NFV)
Software-Defined Networking (SDN)
5G-Enabled Edge Infrastructure

Applications Covered:

Content Delivery & CDN Optimization
IoT & Industrial IoT (IIoT)
Smart Cities
AR/VR & Immersive Experiences
Autonomous Vehicles
Remote Monitoring
Network Optimization

End Users Covered:

Telecom Operators
Enterprises
Government & Public Sector
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 2023, 2024, 2025, 2026, 2027, 2028, 2029, 2030, 2032 and 2034
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

1 Executive Summary

1.1 Market Snapshot and Key Highlights
1.2 Growth Drivers, Challenges, and Opportunities
1.3 Competitive Landscape Overview
1.4 Strategic Insights and Recommendations

2 Research Framework

2.1 Study Objectives and Scope
2.2 Stakeholder Analysis
2.3 Research Assumptions and Limitations
2.4 Research Methodology
- 2.4.1 Data Collection (Primary and Secondary)
- 2.4.2 Data Modeling and Estimation Techniques
- 2.4.3 Data Validation and Triangulation
- 2.4.4 Analytical and Forecasting Approach

3 Market Dynamics and Trend Analysis

3.1 Market Definition and Structure
3.2 Key Market Drivers
3.3 Market Restraints and Challenges
3.4 Growth Opportunities and Investment Hotspots
3.5 Industry Threats and Risk Assessment
3.6 Technology and Innovation Landscape
3.7 Emerging and High-Growth Markets
3.8 Regulatory and Policy Environment
3.9 Impact of COVID-19 and Recovery Outlook

4 Competitive and Strategic Assessment

4.1 Porter's Five Forces Analysis
- 4.1.1 Supplier Bargaining Power
- 4.1.2 Buyer Bargaining Power
- 4.1.3 Threat of Substitutes
- 4.1.4 Threat of New Entrants
- 4.1.5 Competitive Rivalry
4.2 Market Share Analysis of Key Players
4.3 Product Benchmarking and Performance Comparison

5 Global Edge Computing in Telecom Market, By Component

5.1 Hardware
5.2 Software
5.3 Services

6 Global Edge Computing in Telecom Market, By Deployment Mode

6.1 On-Premises Edge
6.2 Cloud-Based Edge
6.3 Hybrid Edge Infrastructure

7 Global Edge Computing in Telecom Market, By Organization Size

7.1 Large Enterprises
7.2 Small & Medium Enterprises (SMEs)

8 Global Edge Computing in Telecom Market, By Technology

8.1 Multi-Access Edge Computing (MEC)
8.2 Edge AI & Machine Learning
8.3 Network Function Virtualization (NFV)
8.4 Software-Defined Networking (SDN)
8.5 5G-Enabled Edge Infrastructure

9 Global Edge Computing in Telecom Market, By Application

9.1 Content Delivery & CDN Optimization
9.2 IoT & Industrial IoT (IIoT)
9.3 Smart Cities
9.4 AR/VR & Immersive Experiences
9.5 Autonomous Vehicles
9.6 Remote Monitoring
9.7 Network Optimization

10 Global Edge Computing in Telecom Market, By End User

10.1 Telecom Operators
10.2 Enterprises
10.3 Government & Public Sector
10.4 Other End Users

11 Global Edge Computing in Telecom Market, By Geography

11.1 North America
- 11.1.1 United States
- 11.1.2 Canada
- 11.1.3 Mexico
11.2 Europe
- 11.2.1 United Kingdom
- 11.2.2 Germany
- 11.2.3 France
- 11.2.4 Italy
- 11.2.5 Spain
- 11.2.6 Netherlands
- 11.2.7 Belgium
- 11.2.8 Sweden
- 11.2.9 Switzerland
- 11.2.10 Poland
- 11.2.11 Rest of Europe
11.3 Asia Pacific
- 11.3.1 China
- 11.3.2 Japan
- 11.3.3 India
- 11.3.4 South Korea
- 11.3.5 Australia
- 11.3.6 Indonesia
- 11.3.7 Thailand
- 11.3.8 Malaysia
- 11.3.9 Singapore
- 11.3.10 Vietnam
- 11.3.11 Rest of Asia Pacific
11.4 South America
- 11.4.1 Brazil
- 11.4.2 Argentina
- 11.4.3 Colombia
- 11.4.4 Chile
- 11.4.5 Peru
- 11.4.6 Rest of South America
11.5 Rest of the World (RoW)
- 11.5.1 Middle East
  - 11.5.1.1 Saudi Arabia
  - 11.5.1.2 United Arab Emirates
  - 11.5.1.3 Qatar
  - 11.5.1.4 Israel
  - 11.5.1.5 Rest of Middle East
- 11.5.2 Africa
  - 11.5.2.1 South Africa
  - 11.5.2.2 Egypt
  - 11.5.2.3 Morocco
  - 11.5.2.4 Rest of Africa

12 Strategic Market Intelligence

12.1 Industry Value Network and Supply Chain Assessment
12.2 White-Space and Opportunity Mapping
12.3 Product Evolution and Market Life Cycle Analysis
12.4 Channel, Distributor, and Go-to-Market Assessment

13 Industry Developments and Strategic Initiatives

13.1 Mergers and Acquisitions
13.2 Partnerships, Alliances, and Joint Ventures
13.3 New Product Launches and Certifications
13.4 Capacity Expansion and Investments
13.5 Other Strategic Initiatives

14 Company Profiles

14.1 Huawei Technologies Co., Ltd.
14.2 Nokia Corporation
14.3 Ericsson AB
14.4 Cisco Systems, Inc.
14.5 Hewlett Packard Enterprise (HPE)
14.6 IBM Corporation
14.7 Microsoft Corporation (Azure Edge)
14.8 Amazon Web Services (AWS)
14.9 Intel Corporation
14.10 Dell Technologies Inc.
14.11 ZTE Corporation
14.12 Juniper Networks, Inc.
14.13 AT&T Inc.
14.14 Verizon Communications Inc.
14.15 Google LLC

簡介目錄圖表

List of Tables

Table 1 Global Edge Computing in Telecom Market Outlook, By Region (2023-2034) ($MN)
Table 2 Global Edge Computing in Telecom Market Outlook, By Component (2023-2034) ($MN)
Table 3 Global Edge Computing in Telecom Market Outlook, By Hardware (2023-2034) ($MN)
Table 4 Global Edge Computing in Telecom Market Outlook, By Software (2023-2034) ($MN)
Table 5 Global Edge Computing in Telecom Market Outlook, By Services (2023-2034) ($MN)
Table 6 Global Edge Computing in Telecom Market Outlook, By Deployment Mode (2023-2034) ($MN)
Table 7 Global Edge Computing in Telecom Market Outlook, By On-Premises Edge (2023-2034) ($MN)
Table 8 Global Edge Computing in Telecom Market Outlook, By Cloud-Based Edge (2023-2034) ($MN)
Table 9 Global Edge Computing in Telecom Market Outlook, By Hybrid Edge Infrastructure (2023-2034) ($MN)
Table 10 Global Edge Computing in Telecom Market Outlook, By Organization Size (2023-2034) ($MN)
Table 11 Global Edge Computing in Telecom Market Outlook, By Large Enterprises (2023-2034) ($MN)
Table 12 Global Edge Computing in Telecom Market Outlook, By Small & Medium Enterprises (SMEs) (2023-2034) ($MN)
Table 13 Global Edge Computing in Telecom Market Outlook, By Technology (2023-2034) ($MN)
Table 14 Global Edge Computing in Telecom Market Outlook, By Multi-Access Edge Computing (MEC) (2023-2034) ($MN)
Table 15 Global Edge Computing in Telecom Market Outlook, By Edge AI & Machine Learning (2023-2034) ($MN)
Table 16 Global Edge Computing in Telecom Market Outlook, By Network Function Virtualization (NFV) (2023-2034) ($MN)
Table 17 Global Edge Computing in Telecom Market Outlook, By Software-Defined Networking (SDN) (2023-2034) ($MN)
Table 18 Global Edge Computing in Telecom Market Outlook, By 5G-Enabled Edge Infrastructure (2023-2034) ($MN)
Table 19 Global Edge Computing in Telecom Market Outlook, By Application (2023-2034) ($MN)
Table 20 Global Edge Computing in Telecom Market Outlook, By Content Delivery & CDN Optimization (2023-2034) ($MN)
Table 21 Global Edge Computing in Telecom Market Outlook, By IoT & Industrial IoT (IIoT) (2023-2034) ($MN)
Table 22 Global Edge Computing in Telecom Market Outlook, By Smart Cities (2023-2034) ($MN)
Table 23 Global Edge Computing in Telecom Market Outlook, By AR/VR & Immersive Experiences (2023-2034) ($MN)
Table 24 Global Edge Computing in Telecom Market Outlook, By Autonomous Vehicles (2023-2034) ($MN)
Table 25 Global Edge Computing in Telecom Market Outlook, By Remote Monitoring (2023-2034) ($MN)
Table 26 Global Edge Computing in Telecom Market Outlook, By Network Optimization (2023-2034) ($MN)
Table 27 Global Edge Computing in Telecom Market Outlook, By End User (2023-2034) ($MN)
Table 28 Global Edge Computing in Telecom Market Outlook, By Telecom Operators (2023-2034) ($MN)
Table 29 Global Edge Computing in Telecom Market Outlook, By Enterprises (2023-2034) ($MN)
Table 30 Global Edge Computing in Telecom Market Outlook, By Government & Public Sector (2023-2034) ($MN)
Table 31 Global Edge Computing in Telecom Market Outlook, By Other End Users (2023-2034) ($MN)