통신망 AI 운영(AIOps) 시장 예측 - 구성요소, 도입 형태, 기능, 조직 규모, 용도, 최종사용자 및 지역별 분석(-2034년)

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.