Home β€Ί ICT β€Ί Artificial Intelligence β€Ί AI in Telecom Operations Market

AI in Telecom Operations Market Size, Share, Opportunities, And Trends By Component (Solutions, Services), By Application (Network Optimization, Predictive Maintenance, Customer Service Automation And Experience Enhancement, Fraud Detection And Revenue Assurance, Network Security And Threat Detection), By Technology Type (Machine Learning, Generative AI, Digital Twins, Intelligent Automation, Natural Language Processing, Others), By Deployment Mode (Cloud-based, On-premise, Hybrid), By End-User Industry (Telecom Service Providers, Infrastructure Providers, Managed Service Providers), And By Geography – Forecasts From 2025 To 2030

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Report OverviewSegmentationTable of ContentsCustomize Report

Table of Contents

1. EXECUTIVE SUMMARY 

2. MARKET SNAPSHOT

2.1. Market Overview

2.2. Market Definition

2.3. Scope of the Study

2.4. Market Segmentation

3. BUSINESS LANDSCAPE 

3.1. Market Drivers

3.2. Market Restraints

3.3. Market Opportunities 

3.4. Porter’s Five Forces Analysis

3.5. Industry Value Chain Analysis

3.6. Policies and Regulations 

3.7. Strategic Recommendations 

4. TECHNOLOGICAL OUTLOOK

5. AI IN TELECOM OPERATIONS MARKET BY COMPONENTS

5.1. Introduction

5.2. Solutions

5.3. Services

6. AI IN TELECOM OPERATIONS MARKET BY APPLICATION

6.1. Introduction

6.2. Network Optimization

6.3. Predictive Maintenance

6.4. Customer Service Automation and Experience Enhancement

6.5. Fraud Detection and Revenue Assurance

6.6. Network Security and Threat Detection

7. AI IN TELECOM OPERATIONS MARKET BY TECHNOLOGY TYPE

7.1. Introduction

7.2. Machine Learning

7.3. Generative AI

7.4. Digital Twins

7.5. Intelligent Automation

7.6. Natural Language Processing

7.7. Others

8. AI IN TELECOM OPERATIONS MARKET BY DEPLOYMENT MODE

8.1. Introduction

8.2. Cloud-based

8.3. On-premise

8.4. Hybrid

9. AI IN TELECOM OPERATIONS MARKET BY END-USER INDUSTRY

9.1. Introduction

9.2. Telecom Service Providers

9.3. Infrastructure Providers

9.4. Managed Service Providers

10. AI IN TELECOM OPERATIONS MARKET BY GEOGRAPHY

10.1. Introduction

10.2. North America

10.2.1. By Component

10.2.2. By Application

10.2.3. By Technology Type

10.2.4. By Deployment Mode

10.2.5. By End-User Industry

10.2.6. By Country

10.2.6.1. USA

10.2.6.2. Canada

10.2.6.3. Mexico

10.3. South America

10.3.1. By Component

10.3.2. By Application

10.3.3. By Technology Type

10.3.4. By Deployment Mode

10.3.5. By End-User Industry

10.3.6. By Country

10.3.6.1. Brazil

10.3.6.2. Argentina

10.3.6.3. Others

10.4. Europe

10.4.1. By Component

10.4.2. By Application

10.4.3. By Technology Type

10.4.4. By Deployment Mode

10.4.5. By End-User Industry

10.4.6. By Country

10.4.6.1. United Kingdom

10.4.6.2. Germany

10.4.6.3. France

10.4.6.4. Spain

10.4.6.5. Others

10.5. Middle East and Africa

10.5.1. By Component

10.5.2. By Application

10.5.3. By Technology Type

10.5.4. By Deployment Mode

10.5.5. By End-User Industry

10.5.6. By Country

10.5.6.1. Saudi Arabia

10.5.6.2. UAE

10.5.6.3. Others

10.6. Asia Pacific

10.6.1. By Component

10.6.2. By Application

10.6.3. By Technology Type

10.6.4. By Deployment Mode

10.6.5. By End-User Industry

10.6.6. By Country

10.6.6.1. China

10.6.6.2. Japan

10.6.6.3. India

10.6.6.4. South Korea

10.6.6.5. Taiwan

10.6.6.6. Others

11. COMPETITIVE ENVIRONMENT AND ANALYSIS

11.1. Major Players and Strategy Analysis

11.2. Market Share Analysis

11.3. Mergers, Acquisitions, Agreements, and Collaborations

11.4. Competitive Dashboard

12. COMPANY PROFILES

12.1. IBM Corporation

12.2. Google LLC

12.3. Microsoft Corporation

12.4. Huawei Technologies Co., Ltd.

12.5. Nokia Corporation

12.6. Telefonaktiebolaget LM Ericsson

12.7. Cisco Systems, Inc.

12.8. Amazon Web Services, Inc.

12.9. Amdocs Limited

12.10. Subex Limited

12.11. Hewlett-Packard Enterprise

13. APPENDIX

13.1. Currency 

13.2. Assumptions

13.3. Base and Forecast Years Timeline

13.4. Key benefits for the stakeholders

13.5. Research Methodology 

13.6. Abbreviations 

REPORT DETAILS

Report ID:KSI061617547
Published:Jun 2025
Pages:143
Format:PDF, Excel, PPT, Dashboard
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