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Generative Artificial Intelligence (AI) in the telecom industry refers to the application of AI technologies capable of creating new content, predictions, or data models to enhance various aspects of telecom services. These technologies leverage advanced algorithms and machine learning techniques to analyze vast datasets, enabling the optimization of network operations, improvement of customer interactions and development of innovative service offerings.

The generative artificial intelligence (AI) in telecom market consists of sales by entities (organizations, sole traders and partnerships) of generative artificial intelligence (AI) in telecom that utilize generative AI to automate processes, predict network issues, personalize customer experiences and bolster security measures, thereby increasing operational efficiency and customer satisfaction. The integration of generative AI is transforming traditional telecom operations by introducing intelligent systems that can adapt and respond to dynamic network conditions and user demands.

The global generative artificial intelligence (AI) in telecom market was valued at $63.11 million in 2019 which grew till 2024 at a compound annual growth rate (CAGR) of more than 49.00%.

Increasing Digital Penetration

The increasing digital penetration has historically supported the growth of generative artificial intelligence (AI) in telecom market. Digital penetration refers to the extent to which digital technologies, such as the internet, smartphones and digital services, are adopted and used by individuals, businesses and societies. Generative artificial intelligence (AI) in telecom drives digital penetration by enhancing network efficiency, personalizing customer experiences and enabling cost-effective service expansion. AI-powered chatbots and virtual assistants improve customer support, making digital services more accessible to users with varying technical skills. In network management, AI automates predictive maintenance and optimizes bandwidth allocation, ensuring better connectivity, especially in remote areas. For instance, in February 2024, according to a report published by the Department for Science, Innovation and Technology, a UK-based ministerial department, the UK digital sector contributed £158.3 billion ($ 199.46 billion) to the UK economy in 2022, accounting for 7.2% of the total UK gross value added (GVA), up from 7.1% in 2021 (in current prices). Therefore, increasing digital penetration supported the growth of the of generative artificial intelligence (AI) in telecom market.

Innovative Telecom-Specific AI Models For Network Efficiency

Leading companies in the generative AI market for telecom are prioritizing the development of AI models tailored for network automation, predictive maintenance, customer service optimization and revenue management. These models enhance real-time decision-making, lower operational costs and improve service personalization, enabling telecom providers to boost efficiency and drive innovation. For instance, in July 2024, LG Uplus, a South Korea-based telecom provider, launched ixi-GEN, a generative AI model tailored for the telecommunications sector. Built on LG AI Research's Exaone platform, ixi-GEN is a small language model (sLLM) trained on LG Uplus' proprietary data, offering faster fine-tuning and enhanced task-specific performance. The model prioritizes security by operating on local servers and using clean, copyright-free data. It will be integrated into eight company services by year-end, including chat agents and mobile advisors and is part of the broader "ixi production" project aimed at revolutionizing digital marketing through AI-driven customer analysis and personalized ad creation.

The global generative artificial intelligence (AI) in telecom markets is fairly fragmented, with large number of players operating in the market. The top 10 competitors in the market made up 16.43% of the total market in 2023.

Generative Artificial Intelligence (AI) In Telecom Global Market Opportunities And Strategies To 2034 from The Business Research Company provides the strategists; marketers and senior management with the critical information they need to assess the global generative artificial intelligence (AI) in telecom market as it emerges from the COVID-19 shut down.

Reasons to Purchase

Where is the largest and fastest-growing market for generative artificial intelligence (AI) in telecom? How does the market relate to the overall economy; demography and other similar markets? What forces will shape the market going forward? The generative artificial intelligence (AI) in telecom market global report from The Business Research Company answers all these questions and many more.

The report covers market characteristics; size and growth; segmentation; regional and country breakdowns; competitive landscape; market shares; trends and strategies for this market. It traces the market's history and forecasts market growth by geography. It places the market within the context of the wider generative artificial intelligence (AI) in telecom market; and compares it with other markets.

The report covers the following chapters

Markets Covered:

Table of Contents

1 Executive Summary

2 Table Of Contents

3 List Of Tables

4 List Of Figures

5 Report Structure

6 Market Characteristics

7 Major Market Trends

8 Global Generative Artificial Intelligence (AI) In Telecom Growth Analysis And Strategic Analysis Framework

9 Global Generative Artificial Intelligence (AI) In Telecom Market Segmentation

10 Generative Artificial Intelligence (AI) In Telecom Market, Regional and Country Analysis

11 Asia-Pacific Market

12 Western Europe Market

13 Eastern Europe Market

14 North America Market

15 South America Market

16 Middle East Market

17 Africa Market

18 Competitive Landscape And Company Profiles

19 Other Major And Innovative Companies

20 Competitive Benchmarking

21 Competitive Dashboard

22 Key Mergers And Acquisitions

23 Recent Developments In The Generative Artificial Intelligence (AI) In Telecom Market

24 Opportunities And Strategies

25 Generative Artificial Intelligence (AI) In Telecom Market, Conclusions And Recommendations

26 Appendix

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