세계의 통신용 생성형 인공지능(AI) 시장 : 기회 및 전략(-2034년)
Generative Artificial Intelligence (AI) In Telecom Global Market Opportunities And Strategies To 2034
상품코드 : 1754820
리서치사 : The Business Research Company
발행일 : 2025년 06월
페이지 정보 : 영문 349 Pages
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한글목차

2019년 세계의 통신용 생성형 인공지능(AI) 시장은 6,311만 달러였고 2024년까지 49.00% 이상의 연평균 성장률(CAGR)을 나타냈습니다.

디지털 보급률 증가

디지털 보급률 증가는 통신용 생성형 인공지능(AI) 시장 성장을 지지해 왔습니다. AI를 탑재한 챗봇이나 버추얼 어시스턴트는 고객 서포트를 개선해, 다양한 기술 스킬을 가지는 유저가 디지털 서비스를 보다 이용하기 쉽게 네트워크 관리는 AI가 예측 유지보수를 자동화하고 대역폭 할당을 최적화함으로써 특히 원격지에서의 연결성을 향상시킵니다. 예를 들어, 2024년 2월 영국 정부 부처인 과학혁신기술부가 발표한 보고서에 따르면 영국 디지털 부문은 2022년 영국 경제에 1,583억 파운드(1,946억 달러)를 기여하여 2021년(현재 가격 기준)의 7.1%에서 증가한 영국 총 부가가치(GVA)의 7.2%를 차지했습니다. 그 때문에 디지털 보급율의 향상이, 통신용 생성형 인공지능(AI)의 성장을 지지하고 있습니다.

목차

제1장 주요 요약

제2장 목차

제3장 표 일람

제4장 그림 일람

제5장 보고서 구성

제6장 시장 특징

제7장 주요 시장 동향

제8장 세계의 통신용 제너레이티브 인공지능(AI) 성장 분석과 전략 분석 프레임워크

제9장 세계의 통신용 생성형 인공지능(AI) 시장 : 세분화

제10장 통신용 생성형 인공지능(AI) 시장 : 지역 및 국가별 분석

제11장 아시아태평양 시장

제12장 서유럽 시장

제13장 동유럽 시장

제14장 북미 시장

제15장 남미 시장

제16장 중동 시장

제17장 아프리카 시장

제18장 경쟁 구도와 기업 프로파일

제19장 기타 주요 기업 및 혁신 기업

제20장 경쟁 벤치마킹

제21장 경쟁 대시보드

제22장 주요 인수합병(M&A)

제23장 최근의 동향 통신용 생성형 인공지능(AI) 시장

제24장 기회와 전략

제25장 통신용 생성형 인공지능(AI) 시장 : 결론과 제안

제26장 부록

KTH
영문 목차

영문목차

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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