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市場調查報告書
商品編碼
2035468

面向通訊領域的AI運維（AIOps）市場預測至2034年－按組件、部署模式、功能、組織規模、應用、最終用戶和地區分類的全球分析

Telecom AI Operations (AIOps) Market Forecasts to 2034 - Global Analysis By Component (Platform and Services), Deployment Mode, Functionality, Organization Size, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的數據，全球通訊人工智慧營運 (AIOps) 市場預計將在 2026 年達到 64 億美元，並在預測期內以 25.1% 的複合年成長率成長，到 2034 年達到 386 億美元。

通訊AI運維是指將機器學習、進階分析和自動化應用於通訊網路管理、服務維運、 IT基礎設施監控和營運支援系統的AI驅動型運維智慧平台和服務。它從根本上改變了網路維運方式，使其從被動的人工管理轉變為主動的、AI驅動的自主運維，從而實現智慧事件關聯、異常檢測、預測性故障解決、自動修復以及跨本地、雲端和混合部署主導的持續性能最佳化。

5G網路運作日益複雜，以及對自動化的需求不斷成長。

5G通訊網路的複雜性源於軟體定義基礎設施、網路切片、邊緣運算以及海量物聯網設備的管理，這給營運管理帶來了巨大挑戰，而依賴人力資源的網路營運中心無法以所需的規模和速度應對這些挑戰。投資AIOps平台不再只是提高效率的選擇，而是商業性的必然選擇。 AIOps實施的成熟成果，例如平均修復時間（MTTR）縮短60-80%，網路營運中心人事費用降低40-50%，為全球領先的通訊業者大規模投資AIOps平台提供了強力的論證。

人工智慧模型訓練資料的品質要求

通訊業者的AIOps平台效能取決於高品質的歷史網路效能、警告和事件數據，這些數據用於AI模型訓練。因此，營運歷史資料分散、不一致或標註不完善的業者在初始部署階段會面臨品質挑戰。這些挑戰限制了AIOps的初始分析效能，核准營運商在數據品質改進和標註方面投入大量資金，才能使AIOps平台在生產網路環境中達到營運團隊可接受的異常檢測準確率和誤報率，從而支援自主修復操作。

自主網路的零接觸操作

通訊業以AIOps平台為支撐的零接觸自主網路營運願景，代表電信操作技術最具變革性的商業性機遇，它能夠在日常故障管理和最佳化中實現無需人工干預的封閉回路型自動化診斷和修復。儘早掌握自主營運能力的通訊業者將獲得顯著的成本優勢。 GSM協會自主網路™論壇框架的標準化正在加速各廠商間互通AIOps的採用，並推動市場發展。

網路營運團隊對實施的抵制

網路維運工程師對AIOps平台提供的自動化修復建議的抵觸情緒源於對AI系統在生產網路環境中可靠性的合理擔憂。如果自動化修復措施發生錯誤，可能會造成比最初偵測到的故障更嚴重的業務中斷。這種抵觸情緒構成了組織層面的推廣障礙，使得早期AIOps部署僅限於監控和建議模式，而核准自主操作。因此，在投資報酬率計算中，AIOps帶來的營運效率提升難以充分體現，也難以證明其投資的合理性。

新冠疫情的影響：

在疫情期間，網路營運中心 (NOC) 人員配備受到限制，同時需要快速、自動化地調整容量以應對 COVID-19 造成的網路流量激增。在此期間，AIOps 平台展現了其優於人工維運管理的卓越能力。疫情後的 5G 網路部署為 NOC 管理帶來了前所未有的複雜性，加上營運技術 (OT) 領域的人才市場緊缺，難以招到經驗豐富的網路維運工程師，通訊業者在網路管理部門投資 AIOps 的意願持續成長。

在預測期內，服務業預計將佔據最大的市場佔有率。

預計在預測期內，服務領域將佔據最大的市場佔有率。這是因為AIOps平台部署、AI模型客製化、網路營運中心（NOC）流程轉型以及持續提供託管AIOps服務都需要對專業服務服務進行大量投資。通訊業者正在投資於擁有平台專業知識和電信網路營運領域經驗的專業AIOps部署合作夥伴，這些合作夥伴能夠有效部署AIOps，從而顯著提升網路效能。

預計在預測期內，本地部署細分市場將呈現最高的複合年成長率。

在預測期內，本地部署市場預計將呈現最高的成長率。這是因為通訊業者更傾向於在本地部署AIOps，以處理需要在網路管理系統附近進行即時資料處理的網路維運管理工作負載，而無需承受雲端傳輸的延遲。此外，網路維運資料的自主性和安全性要求也限制了雲端部署的適用性，因為AIOps平台需要處理敏感的網路效能訊息，以實現自動化故障管理和最佳化。

市佔率最大的地區：

在預測期內，北美預計將佔據最大的市場佔有率。這主要歸因於以下幾個因素：美國領先的通訊業者部署了先進的AIOps實施方案，並利用了IBM、思科、ServiceNow和Dynatrace等關鍵平台，這些方案為北美通訊業創造了可觀的收入；運營商為實現競爭優勢，大力投資自主網路運營需求；以及先進的5G網路的部署，這帶來了大規模的AIOps部署需求。

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。這主要歸功於中國、日本、韓國和印度的大規模5G網路部署，這些部署對人工智慧輔助營運管理提出了前所未有的需求；各國政府對數位基礎設施的大力投資，以提升網路營運自動化水準；以及華為和本地廠商開發本土AIOps解決方案，從而在亞太地區的通訊業者中建構了一個競爭激烈的AIOps應用生態系統。

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
    • 對其他市場參與者（最多 3 家公司）進行全面分析
    • 主要參與者（最多3家公司）的SWOT分析
  • 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。

目錄

第1章執行摘要

  • 市場概覽及主要亮點
  • 促進因素、挑戰與機遇
  • 競爭格局概述
  • 戰略洞察與建議

第2章：研究框架

  • 研究目標和範圍
  • 相關人員分析
  • 研究假設和限制
  • 調查方法

第3章 市場動態與趨勢分析

  • 市場定義與結構
  • 主要市場促進因素
  • 市場限制與挑戰
  • 投資成長機會和重點領域
  • 產業威脅與風險評估
  • 技術與創新展望
  • 新興市場/高成長市場
  • 監管和政策環境
  • 新冠疫情的影響及復甦前景

第4章：競爭環境與策略評估

  • 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
    • 競爭公司之間的競爭
  • 主要公司市佔率分析
  • 產品基準評效和效能比較

第5章 全球通訊人工智慧營運（AIOps）市場：按組件分類

  • 平台
    • AIOps軟體解決方案
    • 人工智慧驅動的網路監控平台
    • 預測分析平台
    • 自動化和編配平台
    • 即時數據處理平台
  • 服務
    • 諮詢服務
    • 整合和實施服務
    • 託管服務
    • 培訓和支援服務
    • 開發客製化人工智慧模型

第6章 全球通訊人工智慧維（AIOps）市場：依部署模式分類

  • 現場
  • 基於雲端的
  • 混合實現

第7章：全球通訊人工智慧運維（AIOps）市場：功能

  • 事件相關性
  • 異常檢測
  • 預測分析
  • 根本原因分析
  • 效能監控
  • 自動化和維修

第8章 全球通訊人工智慧營運（AIOps）市場：依組織規模分類

  • 大公司
  • 中小企業

第9章 全球通訊人工智慧營運（AIOps）市場：按應用領域分類

  • 網路效能管理
  • 事件和故障管理
  • 安全管理
  • 客戶體驗管理
  • 基礎設施管理
  • 應用效能分析
  • 即時分析
  • 網路和保全行動
  • 根本原因分析

第10章 全球通訊人工智慧營運（AIOps）市場：依最終用戶分類

  • 通訊業者
  • 託管服務供應商(MSP)
  • 網路設備供應商
  • 系統整合商
  • 其他最終用戶

第11章 全球通訊人工智慧營運（AIOps）市場：按地區分類

  • 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

  • International Business Machines Corporation（IBM）
  • Cisco Systems, Inc.
  • Broadcom Inc.
  • VMware, Inc.
  • Splunk Inc.
  • BMC Software, Inc.
  • Dynatrace LLC
  • New Relic, Inc.
  • Elastic NV
  • PagerDuty, Inc.
  • Moogsoft Inc.
  • Micro Focus International plc
  • HCL Technologies Limited
  • ServiceNow, Inc.
  • Juniper Networks, Inc.
Product Code: SMRC35537

According to Stratistics MRC, the Global Telecom AI Operations (AIOps) Market is accounted for $6.4 billion in 2026 and is expected to reach $38.6 billion by 2034 growing at a CAGR of 25.1% during the forecast period. Telecom AI Operations refers to AI-driven operational intelligence platforms and services that apply machine learning, advanced analytics, and automation to telecommunications network management, service operations, IT infrastructure monitoring, and operational support systems to enable intelligent event correlation, anomaly detection, predictive fault resolution, automated remediation, and continuous performance optimization through on-premises, cloud-based, and hybrid deployment models, fundamentally transforming network operations from reactive manual management to proactive AI-guided autonomous operations.

Market Dynamics:

Driver:

5G Network Operations Complexity Automation Necessity

Telecommunications 5G network complexity from software-defined infrastructure, network slicing, edge computing, and massive IoT device management creating operational management demands that human-staffed network operations centers cannot address at required scale and speed is making AIOps platform investment a commercial necessity rather than optional efficiency improvement. Documented AIOps deployment outcomes including 60 to 80 percent reduction in mean time to repair and 40 to 50 percent reduction in network operations center staffing cost provide compelling justification for substantial AIOps platform investment programs at major global telecommunications operators.

Restraint:

AI Model Training Data Quality Requirements

Telecom AIOps platform performance dependency on high-quality historical network performance, alarm, and incident data for AI model training creating initial deployment quality challenges at operators with fragmented, inconsistent, or insufficiently labeled operational data histories that limit early AIOps analytical performance, requiring substantial data quality remediation and labeling investment before AIOps platforms deliver the anomaly detection accuracy and false positive rates that operational teams accept for autonomous remediation action authorization in production network environments.

Opportunity:

Autonomous Network Zero-Touch Operations

Telecommunications industry vision of zero-touch autonomous network operations enabled by AIOps platforms capable of closed-loop automated diagnosis and remediation without human intervention for routine fault management and optimization represents the most transformative commercial opportunity in telecom operations technology, with operators achieving early autonomous operations capability gaining substantial operational cost advantage. GSM Association Autonomous Networks TM Forum framework standardization enabling vendor-interoperable AIOps adoption accelerates market development.

Threat:

Network Operations Team Adoption Resistance

Network operations engineer resistance to AIOps platform automated remediation recommendations arising from legitimate concerns about AI system reliability in production network environments where automated incorrect remediation actions could cause service outages more severe than the original detected fault creates organizational deployment barriers limiting initial AIOps deployment to monitoring and recommendation modes rather than autonomous action authorization, constraining the operational efficiency benefit realization that justifies AIOps investment business case ROI calculations.

Covid-19 Impact:

COVID-19 network traffic surge management requiring rapid automated capacity response demonstrated AIOps platform capability advantages over manual operations management at a time when NOC staffing access was constrained by pandemic restrictions. Post-pandemic 5G network deployment creating unprecedented NOC management complexity combined with operational technology labor market tightening reducing experienced network operations engineering talent availability continue generating strong AIOps investment motivation across telecommunications operator network management organizations.

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

The Services segment is expected to account for the largest market share during the forecast period, due to the significant professional services and managed service investment required for AIOps platform implementation, AI model customization, NOC process transformation, and ongoing managed AIOps service delivery that telecommunications operators invest in from specialized AIOps implementation partners who combine platform expertise with telecom network operations domain knowledge required for effective AIOps deployment delivering measurable network performance improvement outcomes.

The On-Premises segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the On-Premises segment is predicted to witness the highest growth rate, driven by telecommunications operator preference for on-premises AIOps deployment for network operations management workloads requiring real-time data processing at network management system proximity without cloud transmission latency, combined with network operations data sovereignty and security requirements that constrain cloud deployment suitability for sensitive network performance intelligence that AIOps platforms process for automated fault management and optimization.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, due to the United States hosting advanced telecommunications operator AIOps deployment programs with leading platforms including IBM, Cisco, ServiceNow, and Dynatrace generating substantial North American telecom revenue, strong operator investment in autonomous network operations as competitive differentiation, and advanced 5G network deployment creating largest-scale AIOps deployment requirements.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, due to China, Japan, South Korea, and India hosting massive 5G network deployments requiring AI-assisted operations management at unprecedented scale, strong government digital infrastructure investment funding network operations automation, and domestic AIOps solution development from Huawei and regional vendors creating competitive ecosystem expansion across Asia Pacific telecommunications operator AIOps adoption.

Key players in the market

Some of the key players in Telecom AI Operations (AIOps) Market include International Business Machines Corporation (IBM), Cisco Systems Inc., Broadcom Inc., VMware Inc., Splunk Inc., BMC Software Inc., Dynatrace LLC, New Relic Inc., Elastic N.V., PagerDuty Inc., Moogsoft Inc., Micro Focus International plc, HCL Technologies Limited, ServiceNow Inc., and Juniper Networks Inc..

Key Developments:

In April 2026, ServiceNow Inc. launched a telecommunications-specific AIOps operations module integrating network performance telemetry with IT service management for unified closed-loop automated incident detection, root cause analysis, and remediation workflow automation.

In March 2026, Dynatrace LLC introduced a 5G network observability platform combining AI-powered anomaly detection across RAN, core, and transport network telemetry streams for automated fault identification and service impact prediction in real-time.

Components Covered:

  • Platform
  • Services

Deployment Modes Covered:

  • On-Premises
  • Cloud-Based
  • Hybrid Deployment

Functionalities Covered:

  • Event Correlation
  • Anomaly Detection
  • Predictive Analytics
  • Root Cause Analysis
  • Performance Monitoring
  • Automation & Remediation

Organization Sizes Covered:

  • Large Enterprises
  • Small & Medium Enterprises (SMEs)

Applications Covered:

  • Network Performance Management
  • Fault & Incident Management
  • Security Management
  • Customer Experience Management
  • Infrastructure Management
  • Application Performance Analysis
  • Real-time Analytics
  • Network & Security Operations
  • Root Cause Analysis

End Users Covered:

  • Telecom Operators
  • Managed Service Providers (MSPs)
  • Network Equipment Providers
  • System Integrators
  • 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

Table of Contents

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 Telecom AI Operations (AIOps) Market, By Component

  • 5.1 Platform
    • 5.1.1 AIOps Software Solutions
    • 5.1.2 AI-driven Network Monitoring Platforms
    • 5.1.3 Predictive Analytics Platforms
    • 5.1.4 Automation & Orchestration Platforms
    • 5.1.5 Real-time Data Processing Platforms
  • 5.2 Services
    • 5.2.1 Consulting Services
    • 5.2.2 Integration & Implementation Services
    • 5.2.3 Managed Services
    • 5.2.4 Training & Support Services
    • 5.2.5 Custom AI Model Development

6 Global Telecom AI Operations (AIOps) Market, By Deployment Mode

  • 6.1 On-Premises
  • 6.2 Cloud-Based
  • 6.3 Hybrid Deployment

7 Global Telecom AI Operations (AIOps) Market, By Functionality

  • 7.1 Event Correlation
  • 7.2 Anomaly Detection
  • 7.3 Predictive Analytics
  • 7.4 Root Cause Analysis
  • 7.5 Performance Monitoring
  • 7.6 Automation & Remediation

8 Global Telecom AI Operations (AIOps) Market, By Organization Size

  • 8.1 Large Enterprises
  • 8.2 Small & Medium Enterprises (SMEs)

9 Global Telecom AI Operations (AIOps) Market, By Application

  • 9.1 Network Performance Management
  • 9.2 Fault & Incident Management
  • 9.3 Security Management
  • 9.4 Customer Experience Management
  • 9.5 Infrastructure Management
  • 9.6 Application Performance Analysis
  • 9.7 Real-time Analytics
  • 9.8 Network & Security Operations
  • 9.9 Root Cause Analysis

10 Global Telecom AI Operations (AIOps) Market, By End User

  • 10.1 Telecom Operators
  • 10.2 Managed Service Providers (MSPs)
  • 10.3 Network Equipment Providers
  • 10.4 System Integrators
  • 10.5 Other End Users

11 Global Telecom AI Operations (AIOps) 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 International Business Machines Corporation (IBM)
  • 14.2 Cisco Systems, Inc.
  • 14.3 Broadcom Inc.
  • 14.4 VMware, Inc.
  • 14.5 Splunk Inc.
  • 14.6 BMC Software, Inc.
  • 14.7 Dynatrace LLC
  • 14.8 New Relic, Inc.
  • 14.9 Elastic N.V.
  • 14.10 PagerDuty, Inc.
  • 14.11 Moogsoft Inc.
  • 14.12 Micro Focus International plc
  • 14.13 HCL Technologies Limited
  • 14.14 ServiceNow, Inc.
  • 14.15 Juniper Networks, Inc.

List of Tables

  • Table 1 Global Telecom AI Operations (AIOps) Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global Telecom AI Operations (AIOps) Market Outlook, By Component (2023-2034) ($MN)
  • Table 3 Global Telecom AI Operations (AIOps) Market Outlook, By Platform (2023-2034) ($MN)
  • Table 4 Global Telecom AI Operations (AIOps) Market Outlook, By AIOps Software Solutions (2023-2034) ($MN)
  • Table 5 Global Telecom AI Operations (AIOps) Market Outlook, By AI-driven Network Monitoring Platforms (2023-2034) ($MN)
  • Table 6 Global Telecom AI Operations (AIOps) Market Outlook, By Predictive Analytics Platforms (2023-2034) ($MN)
  • Table 7 Global Telecom AI Operations (AIOps) Market Outlook, By Automation & Orchestration Platforms (2023-2034) ($MN)
  • Table 8 Global Telecom AI Operations (AIOps) Market Outlook, By Real-time Data Processing Platforms (2023-2034) ($MN)
  • Table 9 Global Telecom AI Operations (AIOps) Market Outlook, By Services (2023-2034) ($MN)
  • Table 10 Global Telecom AI Operations (AIOps) Market Outlook, By Consulting Services (2023-2034) ($MN)
  • Table 11 Global Telecom AI Operations (AIOps) Market Outlook, By Integration & Implementation Services (2023-2034) ($MN)
  • Table 12 Global Telecom AI Operations (AIOps) Market Outlook, By Managed Services (2023-2034) ($MN)
  • Table 13 Global Telecom AI Operations (AIOps) Market Outlook, By Training & Support Services (2023-2034) ($MN)
  • Table 14 Global Telecom AI Operations (AIOps) Market Outlook, By Custom AI Model Development (2023-2034) ($MN)
  • Table 15 Global Telecom AI Operations (AIOps) Market Outlook, By Deployment Mode (2023-2034) ($MN)
  • Table 16 Global Telecom AI Operations (AIOps) Market Outlook, By On-Premises (2023-2034) ($MN)
  • Table 17 Global Telecom AI Operations (AIOps) Market Outlook, By Cloud-Based (2023-2034) ($MN)
  • Table 18 Global Telecom AI Operations (AIOps) Market Outlook, By Hybrid Deployment (2023-2034) ($MN)
  • Table 19 Global Telecom AI Operations (AIOps) Market Outlook, By Functionality (2023-2034) ($MN)
  • Table 20 Global Telecom AI Operations (AIOps) Market Outlook, By Event Correlation (2023-2034) ($MN)
  • Table 21 Global Telecom AI Operations (AIOps) Market Outlook, By Anomaly Detection (2023-2034) ($MN)
  • Table 22 Global Telecom AI Operations (AIOps) Market Outlook, By Predictive Analytics (2023-2034) ($MN)
  • Table 23 Global Telecom AI Operations (AIOps) Market Outlook, By Root Cause Analysis (2023-2034) ($MN)
  • Table 24 Global Telecom AI Operations (AIOps) Market Outlook, By Performance Monitoring (2023-2034) ($MN)
  • Table 25 Global Telecom AI Operations (AIOps) Market Outlook, By Automation & Remediation (2023-2034) ($MN)
  • Table 26 Global Telecom AI Operations (AIOps) Market Outlook, By Organization Size (2023-2034) ($MN)
  • Table 27 Global Telecom AI Operations (AIOps) Market Outlook, By Large Enterprises (2023-2034) ($MN)
  • Table 28 Global Telecom AI Operations (AIOps) Market Outlook, By Small & Medium Enterprises (SMEs) (2023-2034) ($MN)
  • Table 29 Global Telecom AI Operations (AIOps) Market Outlook, By Application (2023-2034) ($MN)
  • Table 30 Global Telecom AI Operations (AIOps) Market Outlook, By Network Performance Management (2023-2034) ($MN)
  • Table 31 Global Telecom AI Operations (AIOps) Market Outlook, By Fault & Incident Management (2023-2034) ($MN)
  • Table 32 Global Telecom AI Operations (AIOps) Market Outlook, By Security Management (2023-2034) ($MN)
  • Table 33 Global Telecom AI Operations (AIOps) Market Outlook, By Customer Experience Management (2023-2034) ($MN)
  • Table 34 Global Telecom AI Operations (AIOps) Market Outlook, By Infrastructure Management (2023-2034) ($MN)
  • Table 35 Global Telecom AI Operations (AIOps) Market Outlook, By Application Performance Analysis (2023-2034) ($MN)
  • Table 36 Global Telecom AI Operations (AIOps) Market Outlook, By Real-time Analytics (2023-2034) ($MN)
  • Table 37 Global Telecom AI Operations (AIOps) Market Outlook, By Network & Security Operations (2023-2034) ($MN)
  • Table 38 Global Telecom AI Operations (AIOps) Market Outlook, By Root Cause Analysis (2023-2034) ($MN)
  • Table 39 Global Telecom AI Operations (AIOps) Market Outlook, By End User (2023-2034) ($MN)
  • Table 40 Global Telecom AI Operations (AIOps) Market Outlook, By Telecom Operators (2023-2034) ($MN)
  • Table 41 Global Telecom AI Operations (AIOps) Market Outlook, By Managed Service Providers (MSPs) (2023-2034) ($MN)
  • Table 42 Global Telecom AI Operations (AIOps) Market Outlook, By Network Equipment Providers (2023-2034) ($MN)
  • Table 43 Global Telecom AI Operations (AIOps) Market Outlook, By System Integrators (2023-2034) ($MN)
  • Table 44 Global Telecom AI Operations (AIOps) Market Outlook, By Other End Users (2023-2034) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Rest of the World (RoW) are also represented in the same manner as above.