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세계의 통신용 인공지능 시장 - 규모, 점유율, 성장 분석 : 컴포넌트별, 전개 모델별, 기술별, 용도별, 지역별 산업 예측(2025-2032년)

Artificial Intelligence In Telecommunication Market Size, Share, Growth Analysis, By Component (Solution, Service), By Deployment Model (On-Premises, Cloud), By Technology, By Application, By Region - Industry Forecast 2025-2032

발행일: | 리서치사: SkyQuest | 페이지 정보: 영문 165 Pages | 배송안내 : 3-5일 (영업일 기준)

    
    
    



※ 본 상품은 영문 자료로 한글과 영문 목차에 불일치하는 내용이 있을 경우 영문을 우선합니다. 정확한 검토를 위해 영문 목차를 참고해주시기 바랍니다.

통신용 인공지능 세계 시장 규모는 2023년에 22억 4,000만 달러로 평가되었고, 예측 기간(2025-2032년)의 CAGR은 40.9%로 성장하여 2024년의 31억 6,000만 달러에서 2032년에는 490억 3,000만 달러로 성장할 전망입니다.

통신사들은 AI와 자동화를 활용하여 운영 비용을 절감하고 고객 경험을 향상시키고 있습니다. 이 기능을 사용하면 네트워크 운영자는 문제의 근본 원인을 신속하게 파악하고 서비스 수준 계약(SLA) 위반을 방지할 수 있습니다. 업계가 4G에서 5G로 전환함에 따라 예상되는 초저지연성은 데이터 전송 속도를 크게 향상시킬 것입니다. 또한, 통신 인프라는 사물 인터넷(IoT) 애플리케이션을 점점 더 많이 지원하고 있습니다. Google은 Google Cloud 기술을 통해 기업이 5G 네트워크 액세스를 이용하는 길을 열어 애널리틱스, AI/머신러닝, 네트워킹을 융합시켜 5G 환경에서 혁신적인 제품 개발을 가능하게 하고 있습니다.

목차

소개

  • 조사의 목적
  • 조사 범위
  • 정의

조사 방법

  • 정보 조달
  • 2차 데이터와 1차 데이터의 방법
  • 시장 규모 예측
  • 시장의 전제조건과 제한

주요 요약

  • 세계 시장 전망
  • 공급과 수요 동향 분석
  • 부문별 기회 분석

시장 역학과 전망

  • 시장 개요
  • 시장 규모
  • 시장 역학
    • 성장 촉진요인과 기회
    • 억제요인과 과제
  • Porter's Five Forces 분석

주요 시장 인사이트

  • 중요성공요인
  • 경쟁도
  • 주요 투자 기회
  • 시장 생태계
  • 시장의 매력 지수(2024년)
  • PESTEL 분석
  • 거시경제지표
  • 밸류체인 분석
  • 가격 분석
  • 기술 분석
  • 규제 분석
  • 특허 분석
  • 사례 연구

통신의 인공지능 시장 규모 : 컴포넌트별

  • 시장 개요
  • 솔루션
  • 서비스
    • 매니지드 서비스
    • 전문 서비스

통신용 인공지능 시장 규모 : 전개 모델별

  • 시장 개요
  • 온프레미스
  • 클라우드

통신용 인공지능 시장 규모 : 기술별

  • 시장 개요
  • 머신러닝과 딥러닝
  • 자연언어처리(NLP)
  • 생성형 AI
  • 기타

통신용 인공지능 시장 규모 : 용도별

  • 시장 개요
  • 고객분석
  • 네트워크 보안
  • 네트워크 최적화
  • 자기 진단
  • 가상 어시스턴스
  • 기타

통신의 인공지능 시장 규모

  • 북미
    • 미국
    • 캐나다
  • 유럽
    • 독일
    • 스페인
    • 프랑스
    • 영국
    • 이탈리아
    • 기타 유럽
  • 아시아태평양
    • 중국
    • 인도
    • 일본
    • 한국
    • 기타 아시아태평양
  • 라틴아메리카
    • 브라질
    • 기타 라틴아메리카
  • 중동 및 아프리카
    • GCC 국가
    • 남아프리카
    • 기타 중동 및 아프리카

경쟁 정보

  • 상위 5개사 비교
  • 주요 기업의 시장 포지셔닝(2024년)
  • 주요 시장 기업이 채용한 전략
  • 시장의 최근 동향
  • 기업의 시장 점유율 분석(2024년)
  • 주요 기업의 기업 프로파일
    • 기업 개요
    • 제품 포트폴리오 분석
    • 부문별 점유율 분석
    • 수익의 전년 대비 비교(2022-2024)

주요 기업 프로파일

  • IBM Corporation(US)
  • Microsoft(US)
  • Intel Corporation(US)
  • Google LLC(US)
  • AT&T Intellectual Property(US)
  • Cisco Systems, Inc.(US)
  • Nuance Communications, Inc.(US)
  • Evolv Technologies Holdings Inc.(US)
  • H2O.ai(US)
  • Infosys Limited(India)
  • Salesforce, Inc.(US)
  • NVIDIA Corporation(US)
  • Telefonaktiebolaget LM Ericsson(Sweden)
  • Nokia Corporation(Finland)
  • ZTE Corporation(China)
  • Amdocs(US)
  • Bharti Airtel(India)
  • Amazon Web Services(AWS)(US)
  • SK Telecom(South Korea)
  • American Tower Corporation(US)

결론과 권장사항

JHS 25.01.22

Global Artificial Intelligence In Telecommunication Market size was valued at USD 2.24 billion in 2023 and is poised to grow from USD 3.16 billion in 2024 to USD 49.03 billion by 2032, growing at a CAGR of 40.9% during the forecast period (2025-2032).

Telecom companies are leveraging AI and automation to reduce operational costs and enhance customer experiences. AI technologies are instrumental in developing self-optimizing networks, enabling real-time system adjustments while maintaining established design parameters. This capability allows network operators to swiftly identify root causes of issues, preventing Service-Level Agreement (SLA) breaches. As the industry transitions from 4G to 5G, the expected ultra-low latency will significantly enhance data transmission speeds. Additionally, telecom infrastructure is increasingly supporting Internet of Things (IoT) applications. Notably, partnerships such as Google and AT&T Intellectual Property are paving the way for businesses to utilize 5G network access via Google Cloud technologies, merging analytics, AI/machine learning, and networking for innovative product development in the 5G landscape.

Top-down and bottom-up approaches were used to estimate and validate the size of the Global Artificial Intelligence In Telecommunication market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.

Global Artificial Intelligence In Telecommunication Market Segmental Analysis

Global Artificial Intelligence In Telecommunication Market is segmented by Component, Deployment Model, Technology, Application and region. Based on Component, the market is segmented into Solution and Service. Based on Deployment Model, the market is segmented into On-Premises and Cloud. Based on Technology, the market is segmented into Machine Learning and Deep Learning, Natural Language Processing (NLP), Generative AI, and Others. Based on Application, the market is segmented into Customer Analytics, Network Security, Network Optimization, Self-Diagnostics, Virtual Assistance and Others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.

Driver of the Global Artificial Intelligence In Telecommunication Market

The Global Artificial Intelligence in Telecommunication market is driven by several key factors that telecom service providers are focusing on to enhance their networks, particularly with the transition to 5G technology. The primary objectives include reducing operational costs and improving returns on network investments. The increasing adoption of AI technology is propelling market growth, primarily for superior network performance management-especially with the rising demand driven by OTT platforms and the evolving landscape of audio and video content. As customers migrate to these platforms, the pressure for higher bandwidth escalates, consequently increasing operational costs for telecommunications companies. However, AI can alleviate these expenses by minimizing human intervention in network configuration and maintenance, facilitating automation that enables quicker outreach to clients and faster service deployment. Thus, the demand for AI solutions within the telecom sector is expected to rise significantly in the coming years.

Restraints in the Global Artificial Intelligence In Telecommunication Market

The Global Artificial Intelligence in Telecommunications market faces challenges due to its dependence on technology that can swiftly detect fraud. As AI integrates into various sectors, including telecommunications, its capacity for real-time fraud analytics becomes essential. When AI identifies any irregular behavior, it can effectively halt the service or user, thereby mitigating potential fraud. Furthermore, the escalating threat of cyberattacks on businesses, coupled with the rising need for self-optimizing networks, is anticipated to drive the growth of AI solutions in telecommunications. However, these factors also underline the importance of upholding robust security measures during this expansion.

Market Trends of the Global Artificial Intelligence In Telecommunication Market

The Global Artificial Intelligence in Telecommunication market is experiencing significant growth, propelled by accelerated 5G rollout initiatives from governments worldwide recognizing its critical role in digital transformation. This technological evolution is set to enhance automation and leverage AI across the telecom sector, fostering the Internet of Things (IoT) and edge computing innovations. The demand for superior services and seamless customer experiences is increasingly driving the integration of AI solutions, leading to improved operational efficiencies and service delivery. As a result, the market is poised for rapid expansion, reflecting the pivotal intersection of advanced connectivity and intelligent systems in telecommunications.

Table of Contents

Introduction

  • Objectives of the Study
  • Scope of the Report
  • Definitions

Research Methodology

  • Information Procurement
  • Secondary & Primary Data Methods
  • Market Size Estimation
  • Market Assumptions & Limitations

Executive Summary

  • Global Market Outlook
  • Supply & Demand Trend Analysis
  • Segmental Opportunity Analysis

Market Dynamics & Outlook

  • Market Overview
  • Market Size
  • Market Dynamics
    • Drivers & Opportunities
    • Restraints & Challenges
  • Porters Analysis
    • Competitive rivalry
    • Threat of substitute
    • Bargaining power of buyers
    • Threat of new entrants
    • Bargaining power of suppliers

Key Market Insights

  • Key Success Factors
  • Degree of Competition
  • Top Investment Pockets
  • Market Ecosystem
  • Market Attractiveness Index, 2024
  • PESTEL Analysis
  • Macro-Economic Indicators
  • Value Chain Analysis
  • Pricing Analysis
  • Technology Analysis
  • Regulatory Analysis
  • Patent Analysis
  • Case Studies

Global Artificial Intelligence In Telecommunication Market Size by Component & CAGR (2025-2032)

  • Market Overview
  • Solution
  • Services
    • Managed Services
    • Professional Services

Global Artificial Intelligence In Telecommunication Market Size by Deployment Model & CAGR (2025-2032)

  • Market Overview
  • On-Premises
  • Cloud

Global Artificial Intelligence In Telecommunication Market Size by Technology & CAGR (2025-2032)

  • Market Overview
  • Machine Learning & Deep Learning
  • Natural Language Processing (NLP)
  • Generative AI
  • Others

Global Artificial Intelligence In Telecommunication Market Size by Application & CAGR (2025-2032)

  • Market Overview
  • Customer Analytics
  • Network Security
  • Network Optimization
  • Self-Diagnostics
  • Virtual Assistance
  • Others

Global Artificial Intelligence In Telecommunication Market Size & CAGR (2025-2032)

  • North America (Component, Deployment Model, Technology, Application)
    • US
    • Canada
  • Europe (Component, Deployment Model, Technology, Application)
    • Germany
    • Spain
    • France
    • UK
    • Italy
    • Rest of Europe
  • Asia Pacific (Component, Deployment Model, Technology, Application)
    • China
    • India
    • Japan
    • South Korea
    • Rest of Asia-Pacific
  • Latin America (Component, Deployment Model, Technology, Application)
    • Brazil
    • Rest of Latin America
  • Middle East & Africa (Component, Deployment Model, Technology, Application)
    • GCC Countries
    • South Africa
    • Rest of Middle East & Africa

Competitive Intelligence

  • Top 5 Player Comparison
  • Market Positioning of Key Players, 2024
  • Strategies Adopted by Key Market Players
  • Recent Developments in the Market
  • Company Market Share Analysis, 2024
  • Company Profiles of All Key Players
    • Company Details
    • Product Portfolio Analysis
    • Company's Segmental Share Analysis
    • Revenue Y-O-Y Comparison (2022-2024)

Key Company Profiles

  • IBM Corporation (US)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Microsoft (US)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Intel Corporation (US)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Google LLC (US)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • AT&T Intellectual Property (US)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Cisco Systems, Inc. (US)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Nuance Communications, Inc. (US)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Evolv Technologies Holdings Inc. (US)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • H2O.ai (US)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Infosys Limited (India)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Salesforce, Inc. (US)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • NVIDIA Corporation (US)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Telefonaktiebolaget LM Ericsson (Sweden)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Nokia Corporation (Finland)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • ZTE Corporation (China)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Amdocs (US)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Bharti Airtel (India)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Amazon Web Services (AWS) (US)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • SK Telecom (South Korea)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • American Tower Corporation (US)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments

Conclusion & Recommendations

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