Generative AI In Telecom Market Size, Share, and Trends 2026 to 2035

Generative AI in Telecom Market (By Type: Text-based, Image-based, Voice-based; By Application: Enhanced Customer Satisfaction, Automated Monitoring Solutions, Manage Dynamic Networks, Improve Network Performance, Network Security and Fraud Mitigation, Network Orchestration; By Deployment: On-Premises, Cloud-Based, Edge, Hybrid) - Global Industry Analysis, Size, Trends, Leading Companies, Regional Outlook, and Forecast 2026 to 2035

Last Updated : 06 Jan 2026  |  Report Code : 3114  |  Category : ICT   |  Format : PDF / PPT / Excel

Chapter 1. Introduction

1.1. Research Objective

1.2. Scope of the Study

1.3. Definition

Chapter 2. Research Methodology (Premium Insights)

2.1. Research Approach

2.2. Data Sources

2.3. Assumptions & Limitations

Chapter 3. Executive Summary

3.1. Market Snapshot

Chapter 4. Market Variables and Scope 

4.1. Introduction

4.2. Market Classification and Scope

4.3. Industry Value Chain Analysis

4.3.1. Raw Material Procurement Analysis 

4.3.2. Sales and Distribution Channel Analysis

4.3.3. Downstream Buyer Analysis

Chapter 5. COVID 19 Impact on Generative AI in Telecom Market 

5.1. COVID-19 Landscape: Generative AI in Telecom Industry Impact

5.2. COVID 19 - Impact Assessment for the Industry

5.3. COVID 19 Impact: Global Major Government Policy

5.4. Market Trends and Opportunities in the COVID-19 Landscape

6.1. Market Dynamics

6.1.1. Market Drivers

6.1.2. Market Restraints

6.1.3. Market Opportunities

6.2. Porter’s Five Forces Analysis

6.2.1. Bargaining power of suppliers

6.2.2. Bargaining power of buyers

6.2.3. Threat of substitute

6.2.4. Threat of new entrants

6.2.5. Degree of competition

Chapter 7. Competitive Landscape

7.1.1. Company Market Share/Positioning Analysis

7.1.2. Key Strategies Adopted by Players

7.1.3. Vendor Landscape

7.1.3.1. List of Suppliers

7.1.3.2. List of Buyers

Chapter 8. Global Generative AI in Telecom Market, By Type

8.1. Generative AI in Telecom Market, by Type

8.1.1 Text-based

8.1.1.1. Market Revenue and Forecast

8.1.2. Image-based

8.1.2.1. Market Revenue and Forecast

8.1.3. Voice-based

8.1.3.1. Market Revenue and Forecast

Chapter 9. Global Generative AI in Telecom Market, By Application

9.1. Generative AI in Telecom Market, by Application

9.1.1. Enhanced Customer Satisfaction

9.1.1.1. Market Revenue and Forecast

9.1.2. Automated Monitoring Solutions

9.1.2.1. Market Revenue and Forecast

9.1.3. Manage Dynamic Networks

9.1.3.1. Market Revenue and Forecast

9.1.4. Improve Network Performance

9.1.4.1. Market Revenue and Forecast

9.1.5. Network Security and Fraud Mitigation

9.1.5.1. Market Revenue and Forecast

9.1.6. Network Orchestration

9.1.6.1. Market Revenue and Forecast

Chapter 10. Global Generative AI in Telecom Market, By Deployment

10.1. Generative AI in Telecom Market, by Deployment

10.1.1. On-Premises

10.1.1.1. Market Revenue and Forecast

10.1.2. Cloud-Based

10.1.2.1. Market Revenue and Forecast

10.1.3. Edge

10.1.3.1. Market Revenue and Forecast

10.1.4. Hybrid

10.1.4.1. Market Revenue and Forecast

Chapter 11. Global Generative AI in Telecom Market, Regional Estimates and Trend Forecast

11.1. North America

11.1.1. Market Revenue and Forecast, by Type

11.1.2. Market Revenue and Forecast, by Application

11.1.3. Market Revenue and Forecast, by Deployment

11.1.4. U.S.

11.1.4.1. Market Revenue and Forecast, by Type

11.1.4.2. Market Revenue and Forecast, by Application

11.1.4.3. Market Revenue and Forecast, by Deployment

11.1.5. Rest of North America

11.1.5.1. Market Revenue and Forecast, by Type

11.1.5.2. Market Revenue and Forecast, by Application

11.1.5.3. Market Revenue and Forecast, by Deployment

11.2. Europe

11.2.1. Market Revenue and Forecast, by Type

11.2.2. Market Revenue and Forecast, by Application

11.2.3. Market Revenue and Forecast, by Deployment

11.2.4. UK

11.2.4.1. Market Revenue and Forecast, by Type

11.2.4.2. Market Revenue and Forecast, by Application

11.2.4.3. Market Revenue and Forecast, by Deployment

11.2.5. Germany

11.2.5.1. Market Revenue and Forecast, by Type

11.2.5.2. Market Revenue and Forecast, by Application

11.2.5.3. Market Revenue and Forecast, by Deployment

11.2.6. France

11.2.6.1. Market Revenue and Forecast, by Type

11.2.6.2. Market Revenue and Forecast, by Application

11.2.6.3. Market Revenue and Forecast, by Deployment

11.2.7. Rest of Europe

11.2.7.1. Market Revenue and Forecast, by Type

11.2.7.2. Market Revenue and Forecast, by Application

11.2.7.3. Market Revenue and Forecast, by Deployment

11.3. APAC

11.3.1. Market Revenue and Forecast, by Type

11.3.2. Market Revenue and Forecast, by Application

11.3.3. Market Revenue and Forecast, by Deployment

11.3.4. India

11.3.4.1. Market Revenue and Forecast, by Type

11.3.4.2. Market Revenue and Forecast, by Application

11.3.4.3. Market Revenue and Forecast, by Deployment

11.3.5. China

11.3.5.1. Market Revenue and Forecast, by Type

11.3.5.2. Market Revenue and Forecast, by Application

11.3.5.3. Market Revenue and Forecast, by Deployment

11.3.6. Japan

11.3.6.1. Market Revenue and Forecast, by Type

11.3.6.2. Market Revenue and Forecast, by Application

11.3.6.3. Market Revenue and Forecast, by Deployment

11.3.7. Rest of APAC

11.3.7.1. Market Revenue and Forecast, by Type

11.3.7.2. Market Revenue and Forecast, by Application

11.3.7.3. Market Revenue and Forecast, by Deployment

11.4. MEA

11.4.1. Market Revenue and Forecast, by Type

11.4.2. Market Revenue and Forecast, by Application

11.4.3. Market Revenue and Forecast, by Deployment

11.4.4. GCC

11.4.4.1. Market Revenue and Forecast, by Type

11.4.4.2. Market Revenue and Forecast, by Application

11.4.4.3. Market Revenue and Forecast, by Deployment

11.4.5. North Africa

11.4.5.1. Market Revenue and Forecast, by Type

11.4.5.2. Market Revenue and Forecast, by Application

11.4.5.3. Market Revenue and Forecast, by Deployment

11.4.6. South Africa

11.4.6.1. Market Revenue and Forecast, by Type

11.4.6.2. Market Revenue and Forecast, by Application

11.4.6.3. Market Revenue and Forecast, by Deployment

11.4.7. Rest of MEA

11.4.7.1. Market Revenue and Forecast, by Type

11.4.7.2. Market Revenue and Forecast, by Application

11.4.7.3. Market Revenue and Forecast, by Deployment

11.5. Latin America

11.5.1. Market Revenue and Forecast, by Type

11.5.2. Market Revenue and Forecast, by Application

11.5.3. Market Revenue and Forecast, by Deployment

11.5.4. Brazil

11.5.4.1. Market Revenue and Forecast, by Type

11.5.4.2. Market Revenue and Forecast, by Application

11.5.4.3. Market Revenue and Forecast, by Deployment

11.5.5. Rest of LATAM

11.5.5.1. Market Revenue and Forecast, by Type

11.5.5.2. Market Revenue and Forecast, by Application

11.5.5.3. Market Revenue and Forecast, by Deployment

Chapter 12. Company Profiles

12.1. NVIDIA Corporation

12.1.1. Company Overview

12.1.2. Product Offerings

12.1.3. Financial Performance

12.1.4. Recent Initiatives

12.2. Cresta

12.2.1. Company Overview

12.2.2. Product Offerings

12.2.3. Financial Performance

12.2.4. Recent Initiatives

12.3. C3.ai, Inc.

12.3.1. Company Overview

12.3.2. Product Offerings

12.3.3. Financial Performance

12.3.4. Recent Initiatives

12.4. Microsoft

12.4.1. Company Overview

12.4.2. Product Offerings

12.4.3. Financial Performance

12.4.4. Recent Initiatives

12.5. Krista Software

12.5.1. Company Overview

12.5.2. Product Offerings

12.5.3. Financial Performance

12.5.4. Recent Initiatives

12.6. Macquarie Group Limited

12.6.1. Company Overview

12.6.2. Product Offerings

12.6.3. Financial Performance

12.6.4. Recent Initiatives

12.7. Xaltius Pte. Ltd.

12.7.1. Company Overview

12.7.2. Product Offerings

12.7.3. Financial Performance

12.7.4. Recent Initiatives

12.8. IBM Corporation

12.8.1. Company Overview

12.8.2. Product Offerings

12.8.3. Financial Performance

12.8.4. Recent Initiatives

12.9. Amdocs

12.9.1. Company Overview

12.9.2. Product Offerings

12.9.3. Financial Performance

12.9.4. Recent Initiatives

Chapter 13. Research Methodology

13.1. Primary Research

13.2. Secondary Research

13.3. Assumptions

Chapter 14. Appendix

14.1. About Us

14.2. Glossary of Terms

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Frequently Asked Questions

Answer : The global generative AI in telecom market size surpassed USD 428.08 million in 2025 and It is expected to increase USD 12,103.62 million by 2035.

Answer : The global generative AI in telecom market will register growth rate of 39.68% between 2026 and 2035.

Answer : The major players operating in the generative AI in telecom market are NVIDIA Corporation, Cresta, C3.ai, Inc., Microsoft, Krista Software, Macquarie Group Limited, Xaltius Pte. Ltd., IBM Corporation, Amdocs, and Others.

Answer : The driving factors of the generative AI in telecom market are the emphasis on improving client services and network optimization and efficiency.

Answer : North America region will lead the global generative AI in telecom market during the forecast period 2026 to 2035.

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