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1744971

세계의 텔레콤 분야 인공지능(AI) 시장

Artificial Intelligence in Telecom

발행일: | 리서치사: Market Glass, Inc. (Formerly Global Industry Analysts, Inc.) | 페이지 정보: 영문 208 Pages | 배송안내 : 1-2일 (영업일 기준)

    
    
    



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

세계의 텔레콤 분야 인공지능(AI) 시장은 2030년까지 4억 250만 달러에 이를 전망

2024년에 4,860만 달러로 추정되는 텔레콤 분야 인공지능(AI) 세계 시장은 2024-2030년간 CAGR 42.2%로 성장하여 2030년에는 4억 250만 달러에 이를 것으로 예측됩니다. 본 보고서에서 분석한 부문 중 하나인 AI 솔루션은 CAGR44.9%를 나타내고, 분석 기간 종료시에는 3억 1,990만 달러에 이를 것으로 예측됩니다. AI 서비스 부문의 성장률은 분석 기간에 CAGR34.4%로 추정됩니다.

미국 시장은 1,280만 달러로 추정, 중국은 CAGR 39.8%로 성장 예측

미국의 텔레콤 분야 인공지능(AI) 시장은 2024년에 1,280만 달러로 추정됩니다. 세계 2위 경제대국인 중국은 2030년까지 5,880만 달러 규모에 이를 것으로 예측되며, 분석 기간인 2024-2030년 CAGR은 39.8%로 추정됩니다. 기타 주목해야 할 지역별 시장으로서는 일본과 캐나다가 있으며, 분석 기간중 CAGR은 각각 38.7%와 36.0%를 보일 것으로 예측됩니다. 유럽에서는 독일이 CAGR 28.4%를 보일 전망입니다.

세계의 텔레콤 분야 인공지능(AI) 시장 - 주요 동향과 촉진요인 정리

왜 인공지능이 통신의 네트워크 최적화, 고객 경험, 업무 효율성의 중심이 되고 있는가?

인공지능(AI)은 예측적, 자율적, 지능형 네트워크 운영을 가능하게 함으로써 전 세계 통신 환경을 재정의하고 있습니다. 통신사업자들이 급증하는 데이터 양, 5G 구축의 복잡성, 개인화된 디지털 서비스에 대한 수요 증가에 대응하기 위해 AI는 코어, 액세스, 서비스 계층에 통합되어 비용 효율성을 높이고, 서비스 품질을 향상시키며, 실시간 의사결정을 가능하게 합니다. 네트워크 트래픽 예측 및 이상 징후 감지, 예지보전 및 부정행위 감소에 이르기까지, AI는 통신의 디지털 전환을 위한 전략적 자산으로 자리매김하고 있습니다.

AI 기반 네트워크 최적화 도구를 통해 사업자는 방대한 양의 실시간 및 과거 성능 데이터를 분석하여 트래픽을 동적으로 관리하고, 리소스를 할당하고, 서비스 품질(QoS)을 유지할 수 있습니다. 이러한 시스템은 혼잡 패턴을 감지하고, 구성을 자동으로 조정하고, 다운타임을 최소화하고, 처리량을 향상시키기 위한 시정 조치를 취합니다. SON(Self-Organizing Network)에서는 AI 알고리즘이 매개변수 조정, 간섭 완화 및 스펙트럼 관리를 자동화하여 통신사업자가 5G 및 미래 지향적 아키텍처를 보다 정확하고 신속하게 확장할 수 있도록 지원합니다.

고객 응대 업무에서 AI는 지능형 가상 비서, 개인화된 서비스 추천, 역동적인 가격 전략을 실현하고 고객 참여 모델을 변화시키고 있습니다. 자연어 처리(NLP)와 감정 분석을 통해 통신사는 고객의 문의를 해석하고, 해지 위험을 예측하고, 서비스 문제를 사전에 해결할 수 있습니다. 이러한 AI 기반 터치포인트는 콜센터의 업무 부담을 줄이고, 해결 시간을 개선하며, 고객 만족도를 높입니다.

예측 분석, 네트워크 인텔리전스, 엣지에서의 AI가 통신사의 역량을 어떻게 확장하고 있는가?

예측 분석은 통신사업자가 정적 계획에서 예측적 네트워크 관리로 전환할 수 있도록 지원합니다. 사용량 동향, 기기 동작, 지리적 공간 데이터를 기반으로 훈련된 머신러닝(ML) 모델은 미래 수요를 예측하고, 사업자가 인프라 업그레이드를 계획하고, 에너지 소비를 관리하며, 잠재적인 서비스 중단을 완화할 수 있도록 돕습니다. 이러한 선견지명은 5G의 고밀도화, IoT 기기의 급증, 예측할 수 없는 동적 네트워크 부하를 유발하는 하이브리드 작업 환경에서 특히 중요합니다.

AI 기반 네트워크 인텔리전스는 통신 환경 전반의 보안, 부정행위 감지 및 컴플라이언스 모니터링을 지원합니다. AI는 행동 분석, 이상 징후 감지, 학습 모델을 통해 SIM 복제, 통화 스푸핑, 부정 액세스 시도를 실시간으로 식별하고, 합법적 감청 컴플라이언스, 감사 자동화, 사이버 위험 점수화를 지원하여 통신사업자가 서비스의 무결성을 유지하면서 고객 데이터를 보호할 수 있도록 돕습니다. 서비스 무결성을 유지하면서 고객 데이터를 보호할 수 있도록 합니다. 동시에 AI는 장애 관리 시스템의 근본 원인 분석을 자동화하여 평균 해결 시간(MTTR)을 단축하고 서비스 저하를 최소화하는 데 사용됩니다.

엣지 AI는 특히 AR/VR, 자율주행차, 스마트 팩토리, 원격 진단 등의 실시간 용도를 지원하며, 통신에서 초저지연 서비스의 전략적 실현 요소로 부상하고 있습니다. AI는 기지국, 스몰셀 또는 On-Premise MEC 노드 등 네트워크 엣지에서 로컬로 데이터를 처리함으로써 백홀의 혼잡을 완화하고, 빠른 속도와 맥락에 맞는 의사결정을 가능하게 합니다. 통신사업자에게는 핵심 인프라에서 컴퓨팅 부하를 분산시키면서 차별화된 지연 시간 중심의 서비스를 통해 5G 수익화를 촉진할 수 있습니다.

어떤 상업적 모델과 지역 시장이 통신 사업에서 AI 통합을 촉진하고 있는가?

통신사업자들은 네트워크 계획 및 서비스 오케스트레이션에서 고객 유지 및 마케팅 자동화에 이르기까지 여러 운영 및 상업적 계층에 AI를 통합하고 있으며, B2C 모델에서는 가입자 행동을 분석하고, 컨텐츠 번들을 추천하고, 사용 패턴에 따라 오퍼를 조정하여 가입자당 평균 매출(ARPU)을 증가시키는 데 AI를 활용하고 있습니다. AI는 가입자 행동을 분석하고, 컨텐츠 번들을 추천하고, 이용 패턴에 맞게 오퍼를 조정하고, 1인당 평균 매출(ARPU)을 증가시키는 데 사용되고 있으며, B2B 서비스에서는 통신사업자가 AI를 기업 연결, 사이버 보안 솔루션, IoT 플랫폼에 통합하고, 제조, 물류, 헬스케어, 스마트 시티 등 제조, 물류, 헬스케어, 스마트시티 등의 수직적 고객에게 지능적이고 부가가치가 높은 서비스를 제공합니다.

배포 측면에서 통신사업자들은 자체 AI 개발과 AI-as-a-service 파트너십을 결합한 하이브리드 모델을 채택하고 있습니다. 클라우드 하이퍼스케일러와 AI 스타트업은 자동 프로비저닝, 네트워크 디지털 트윈, AI 기반 고객 인사이트 등의 이용 사례를 위한 모듈형 플랫폼을 제공합니다. 이러한 제휴를 통해 사업자는 유연성과 비용 관리를 유지하면서 빠르게 구현할 수 있으며, AI 전문성을 제도화하고 장기적인 혁신 로드맵을 지원하기 위해 AI 우수 센터와 부서 간 데이터 사이언스 팀도 설립되고 있습니다.

지역별로는 북미와 서유럽이 5G의 조기 도입, 강력한 디지털 인프라, 서비스 품질에 대한 규제 의무화 등을 배경으로 통신 사업에서 AI 통합을 주도하고 있습니다. 아시아태평양은 빠르게 성장하고 있으며, 중국, 일본, 한국, 인도 통신사업자들은 네트워크 복잡성을 관리하고, 주파수 대역 활용을 최적화하며, 스마트시티 계획을 지원하기 위해 AI를 도입하고 있습니다. 중동 및 아프리카에서는 모바일 브로드밴드 확대, 농촌 지역 연결 계획 자동화, 자원이 제한된 환경에서의 운영 탄력성 향상에 AI를 활용하고 있습니다.

데이터 거버넌스, 표준화, ROI 지표는 전략적 전개에 어떤 영향을 미치고 있는가?

통신 사업자의 AI 도입은 강력한 데이터 거버넌스, 규제 준수, 윤리적 감시의 필요성에 의해 점점 더 많은 영향을 받고 있습니다. 통신사업자들은 데이터 익명화, 접근 제어, 협업 학습 모델에 투자하여 사용자의 프라이버시를 침해하지 않고 안전하게 AI를 훈련시킬 수 있도록 하고 있으며, GDPR(EU 개인정보보호규정), 지역 통신법, 사이버 보안 프레임워크를 준수하는 것은 특히 고객 경험, 과금, 모니터링 영역에서 AI 모델 구축에 있어 매우 중요한 요소입니다. 특히 고객 경험, 과금, 모니터링 영역에서 AI 모델 구축의 필수 조건이 되고 있습니다.

TM 포럼, GSMA, ETSI 등 업계 단체의 표준화 노력은 공통 아키텍처, API, 성능 벤치마크를 정의함으로써 AI의 확장성을 지원하고 있습니다. 이러한 표준은 AI 모듈 간의 상호운용성을 촉진하고, 벤더 종속성을 줄이고, 통신 생태계 전반의 오픈 이노베이션을 촉진합니다. 이와 함께 설명 가능한 AI(XAI)가 확산되고 있으며, 사업자들은 서비스 제공, 네트워크 스로틀링, 고객 지원의 우선순위를 정할 때 AI 기반 의사결정을 정당화할 수 있어야 합니다.

투자수익률(ROI)은 AI 이니셔티브를 확장하는 데 있어 여전히 중요한 요소입니다. 통신 사업자들은 지능형 냉각 시스템을 통한 에너지 절감, 예측 유지보수를 통한 OPEX 절감, AI 기반 개인화를 통한 해지율 감소 등 가시적인 비용 절감 효과가 있는 이용 사례를 우선적으로 고려하고 있습니다. AI에 대한 대규모 투자를 정당화하기 위해 많은 사업자들은 AI의 성과를 수익 향상, 서비스 수준 개선, 고객 유지 지표로 연결시키는 KPI 프레임워크를 구축하고 있습니다. 이러한 ROI 모델은 경영진의 동의를 얻고 장기적인 AI 혁신 파이프라인을 유지하는 데 핵심적인 역할을 합니다.

통신 AI 시장의 성장을 가속하는 요인은 무엇인가?

텔레콤 분야 AI 시장은 5G의 복잡성, 고객의 기대치 상승, 네트워크 자동화 및 예측적 서비스 제공의 필요성에 힘입어 꾸준히 성장하고 있습니다. 통신사업자들은 AI를 활용하여 자가 최적화, 자가 복구, 사용자 행동 및 서비스 수요에 동적으로 대응할 수 있는 지능형 적응형 네트워크를 구축하고 있습니다.

엣지 컴퓨팅, 실시간 분석, 자율 시스템 등의 기술 발전으로 프론트엔드 및 백엔드 통신 사업에서 AI의 유용성이 증가하고 있으며, AI의 성숙도가 높아짐에 따라 이용 사례는 비용 절감뿐만 아니라 차별화된 서비스, 고급 분석, 지능형 기업 솔루션으로 확대되고 있습니다. 분석, 지능형 기업 솔루션을 통한 수익 창출로 확대되고 있습니다.

향후 통신 사업에서 AI의 성공 여부는 사업자가 데이터 거버넌스, 생태계 협업, 가치 기반 확장성을 디지털 전략에 얼마나 효과적으로 통합할 수 있느냐에 달려 있습니다. 통신사업자가 디지털 서비스 제공업체로 진화하는 가운데, AI가 지능적이고 탄력적이며 수익성 있는 차세대 통신 인프라를 구현할 수 있는 기반이 될 수 있을까?

부문

컴포넌트(솔루션, 서비스), 전개(클라우드, On-Premise), 테크놀러지(머신러닝, 자연언어처리, 데이터 분석), 용도(고객 분석, 네트워크 보안, 네트워크 최적화, 자가진단, 가상 비서, 기타 용도)

조사 대상 기업 예(총 42개사)

  • Amdocs
  • Arista Networks
  • AT&T Inc.
  • Baltic Amadeus
  • C3.ai
  • Cisco Systems, Inc.
  • CM.com
  • Com-IoT Technologies
  • Conectys
  • Dell Technologies
  • Deutsche Telekom AG
  • Ericsson
  • Fujitsu Limited
  • Huawei Technologies Co., Ltd.
  • IBM Corporation
  • Infomark
  • Innowise Group
  • Intel Corporation
  • Itransition
  • Juniper Networks, Inc.

관세 영향 계수

Global Industry Analysts는 본사의 국가, 제조거점, 수출입(완제품 및 OEM)을 기반으로 기업의 경쟁력 변화를 예측했습니다. 이러한 복잡하고 다면적인 시장 역학은 인위적인 수익원가 증가, 수익성 감소, 공급망 재편 등 미시적 및 거시적 시장 역학 중에서도 특히 경쟁사들에게 영향을 미칠 것으로 예측됩니다.

Global Industry Analysts는 세계 주요 수석 이코노미스트(1,4,949명), 싱크탱크(62개 기관), 무역 및 산업 단체(171개 기관)의 전문가들의 의견을 면밀히 검토하여 생태계에 미치는 영향을 평가하고 새로운 시장 현실에 대응하고 있습니다. 모든 주요 국가의 전문가와 경제학자들이 관세와 그것이 자국에 미치는 영향에 대한 의견을 추적 조사했습니다.

Global Industry Analysts는 이러한 혼란이 향후 2-3개월 내에 마무리되고 새로운 세계 질서가 보다 명확하게 확립될 것으로 예상하고 있으며, Global Industry Analysts는 이러한 상황을 실시간으로 추적하고 있습니다.

2025년 4월: 협상 단계

이번 4월 보고서에서는 관세가 세계 시장 전체에 미치는 영향과 지역별 시장 조정에 대해 소개합니다. 당사의 예측은 과거 데이터와 진화하는 시장 영향요인을 기반으로 합니다.

2025년 7월: 최종 관세 재설정

고객님들께는 각 국가별 최종 리셋이 발표된 후 7월에 무료 업데이트 버전을 제공해 드립니다. 최종 업데이트 버전에는 명확하게 정의된 관세 영향 분석이 포함되어 있습니다.

상호 및 양자 간 무역과 관세의 영향 분석 :

미국 <>& 중국 <>& 멕시코 <>& 캐나다 <>&EU <>& 일본 <>& 인도 <>& 기타 176개국

업계 최고의 이코노미스트: Global Industry Analysts의 지식 기반은 국가, 싱크탱크, 무역 및 산업 단체, 대기업, 그리고 세계 계량경제 상황에서 이 전례 없는 패러다임 전환의 영향을 공유하는 분야별 전문가 등 가장 영향력 있는 수석 이코노미스트 그룹을 포함한 14,949명의 이코노미스트를 추적하고 있습니다. 16,491개 이상의 보고서 대부분에 마일스톤에 기반한 2단계 출시 일정을 적용하고 있습니다.

목차

제1장 조사 방법

제2장 주요 요약

  • 시장 개요
  • 주요 기업
  • 시장 동향과 촉진요인
  • 세계 시장 전망

제3장 시장 분석

  • 미국
  • 캐나다
  • 일본
  • 중국
  • 유럽
  • 프랑스
  • 독일
  • 이탈리아
  • 영국
  • 기타 유럽
  • 아시아태평양
  • 기타 지역

제4장 경쟁

LSH 25.06.20

Global Artificial Intelligence in Telecom Market to Reach US$402.5 Million by 2030

The global market for Artificial Intelligence in Telecom estimated at US$48.6 Million in the year 2024, is expected to reach US$402.5 Million by 2030, growing at a CAGR of 42.2% over the analysis period 2024-2030. AI Solutions, one of the segments analyzed in the report, is expected to record a 44.9% CAGR and reach US$319.9 Million by the end of the analysis period. Growth in the AI Services segment is estimated at 34.4% CAGR over the analysis period.

The U.S. Market is Estimated at US$12.8 Million While China is Forecast to Grow at 39.8% CAGR

The Artificial Intelligence in Telecom market in the U.S. is estimated at US$12.8 Million in the year 2024. China, the world's second largest economy, is forecast to reach a projected market size of US$58.8 Million by the year 2030 trailing a CAGR of 39.8% over the analysis period 2024-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 38.7% and 36.0% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 28.4% CAGR.

Global Artificial Intelligence in Telecom Market - Key Trends & Drivers Summarized

Why Is Artificial Intelligence Becoming Central to Network Optimization, Customer Experience, and Operational Efficiency in Telecom?

Artificial Intelligence (AI) is redefining the global telecommunications landscape by enabling predictive, autonomous, and intelligent network operations. As telcos grapple with surging data volumes, the complexity of 5G rollouts, and increasing demand for personalized digital services, AI is being integrated across core, access, and service layers to drive cost efficiencies, elevate service quality, and enable real-time decision-making. Its role spans from network traffic forecasting and anomaly detection to predictive maintenance and fraud mitigation-making AI a strategic asset in telecom digital transformation.

AI-powered network optimization tools allow operators to analyze vast volumes of real-time and historical performance data to dynamically manage traffic, allocate resources, and maintain quality of service (QoS). These systems detect congestion patterns, auto-adjust configurations, and initiate corrective actions-minimizing downtime and enhancing throughput. In self-organizing networks (SONs), AI algorithms automate parameter tuning, interference mitigation, and spectrum management, enabling telcos to scale 5G and future-ready architectures with greater precision and responsiveness.

In customer-facing operations, AI is transforming engagement models by powering intelligent virtual assistants, personalized service recommendations, and dynamic pricing strategies. Natural language processing (NLP) and sentiment analysis allow telcos to interpret customer queries, predict churn risk, and proactively resolve service issues. These AI-driven touchpoints reduce call center loads, improve resolution times, and enhance customer satisfaction-shifting the focus from reactive support to anticipatory service delivery.

How Are Predictive Analytics, Network Intelligence, and AI at the Edge Expanding Telco Capabilities?

Predictive analytics is enabling telecom operators to transition from static planning to anticipatory network management. Machine learning (ML) models trained on usage trends, device behavior, and geospatial data forecast future demand, helping operators plan infrastructure upgrades, manage energy consumption, and mitigate potential service disruptions. This foresight is particularly critical in the context of 5G densification, IoT device proliferation, and hybrid work environments that generate unpredictable and dynamic network loads.

AI-driven network intelligence is supporting security, fraud detection, and compliance monitoring across telecom environments. Behavioral analytics, anomaly detection, and supervised learning models are used to identify SIM cloning, call spoofing, and unauthorized access attempts in real time. AI also supports lawful intercept compliance, audit automation, and cyber risk scoring-allowing telcos to protect customer data while maintaining service integrity. In parallel, AI is used to automate root cause analysis in fault management systems, accelerating mean time to resolution (MTTR) and minimizing service degradation.

Edge AI is emerging as a strategic enabler of ultra-low latency services in telecom, particularly in support of real-time applications such as AR/VR, autonomous vehicles, smart factories, and remote diagnostics. By processing data locally at the edge of the network-within base stations, small cells, or on-premise MEC nodes-AI reduces backhaul congestion and ensures high-speed, context-aware decision-making. For telcos, this facilitates the monetization of 5G through differentiated, latency-sensitive offerings while decentralizing compute loads from core infrastructure.

Which Commercial Models and Regional Markets Are Driving AI Integration in Telecom?

Telecom operators are embedding AI across multiple operational and commercial layers, from network planning and service orchestration to customer retention and marketing automation. In B2C models, AI is used to analyze subscriber behavior, recommend content bundles, and tailor offers to usage patterns, increasing average revenue per user (ARPU). In B2B services, telcos are integrating AI into enterprise connectivity, cybersecurity solutions, and IoT platforms to deliver intelligent, value-added services to vertical clients in manufacturing, logistics, healthcare, and smart cities.

In terms of deployment, telcos are adopting hybrid models that combine in-house AI development with AI-as-a-service partnerships. Cloud hyperscalers and AI startups are providing modular platforms for use cases such as automated provisioning, digital twins for networks, and AI-based customer insights. These collaborations allow operators to fast-track implementation while maintaining flexibility and cost control. AI centers of excellence and cross-functional data science teams are also being established to institutionalize AI expertise and support long-term transformation roadmaps.

Regionally, North America and Western Europe lead AI integration in telecom, driven by early 5G deployment, strong digital infrastructure, and regulatory mandates on service quality. Asia-Pacific is rapidly scaling, with operators in China, Japan, South Korea, and India deploying AI to manage network complexity, optimize spectrum usage, and support smart city initiatives. In the Middle East and Africa, AI is being used to expand mobile broadband, automate rural connectivity planning, and improve operational resilience in resource-constrained environments.

How Are Data Governance, Standards Alignment, and ROI Metrics Influencing Strategic Deployment?

AI adoption in telecom is increasingly shaped by the need for robust data governance, regulatory compliance, and ethical oversight. Operators are investing in data anonymization, access controls, and federated learning models to enable secure AI training without compromising user privacy. Compliance with GDPR, local telecom laws, and cybersecurity frameworks is becoming a prerequisite for AI model deployment-especially in customer experience, billing, and surveillance domains.

Standardization efforts by industry bodies such as TM Forum, GSMA, and ETSI are supporting AI scalability by defining common architectures, APIs, and performance benchmarks. These standards facilitate interoperability between AI modules, reduce vendor lock-in, and promote open innovation across the telecom ecosystem. In parallel, explainable AI (XAI) is gaining traction, with operators required to justify AI-driven decisions in service provisioning, network throttling, or customer support prioritization.

Return on investment (ROI) remains a critical factor in scaling AI initiatives. Telcos are prioritizing use cases with tangible cost reductions, such as energy savings from intelligent cooling systems, OPEX savings from predictive maintenance, and churn reduction through AI-enabled personalization. To justify larger AI investments, many operators are establishing KPI frameworks that link AI outcomes to revenue uplift, service-level improvement, and customer retention metrics. These ROI models are key to securing executive buy-in and sustaining long-term AI innovation pipelines.

What Are the Factors Driving Growth in the AI in Telecom Market?

The AI in telecom market is expanding steadily, fueled by 5G complexity, rising customer expectations, and the imperative for network automation and predictive service delivery. Operators are leveraging AI to build intelligent, adaptive networks that can self-optimize, self-heal, and dynamically align with user behavior and service demand.

Technological advancements in edge computing, real-time analytics, and autonomous systems are enhancing AI’s utility across both front-end and back-end telecom operations. As AI maturity increases, use cases are expanding beyond cost reduction to revenue generation through differentiated services, advanced analytics, and intelligent enterprise solutions.

Looking ahead, the success of AI in telecom will depend on how effectively operators integrate data governance, ecosystem collaboration, and value-based scaling into their digital strategies. As telcos evolve into digital service providers, could AI become the foundational layer enabling intelligent, resilient, and monetizable next-generation telecom infrastructure?

SCOPE OF STUDY:

The report analyzes the Artificial Intelligence in Telecom market in terms of units by the following Segments, and Geographic Regions/Countries:

Segments:

Component (Solutions, Services); Deployment (Cloud, On-Premise); Technology (Machine Learning, Natural Language Processing, Data Analytics); Application (Customer Analytics, Network Security, Network Optimization, Self-Diagnostics, Virtual Assistance, Other Applications)

Geographic Regions/Countries:

World; United States; Canada; Japan; China; Europe (France; Germany; Italy; United Kingdom; and Rest of Europe); Asia-Pacific; Rest of World.

Select Competitors (Total 42 Featured) -

  • Amdocs
  • Arista Networks
  • AT&T Inc.
  • Baltic Amadeus
  • C3.ai
  • Cisco Systems, Inc.
  • CM.com
  • Com-IoT Technologies
  • Conectys
  • Dell Technologies
  • Deutsche Telekom AG
  • Ericsson
  • Fujitsu Limited
  • Huawei Technologies Co., Ltd.
  • IBM Corporation
  • Infomark
  • Innowise Group
  • Intel Corporation
  • Itransition
  • Juniper Networks, Inc.

TARIFF IMPACT FACTOR

Our new release incorporates impact of tariffs on geographical markets as we predict a shift in competitiveness of companies based on HQ country, manufacturing base, exports and imports (finished goods and OEM). This intricate and multifaceted market reality will impact competitors by artificially increasing the COGS, reducing profitability, reconfiguring supply chains, amongst other micro and macro market dynamics.

We are diligently following expert opinions of leading Chief Economists (14,949), Think Tanks (62), Trade & Industry bodies (171) worldwide, as they assess impact and address new market realities for their ecosystems. Experts and economists from every major country are tracked for their opinions on tariffs and how they will impact their countries.

We expect this chaos to play out over the next 2-3 months and a new world order is established with more clarity. We are tracking these developments on a real time basis.

As we release this report, U.S. Trade Representatives are pushing their counterparts in 183 countries for an early closure to bilateral tariff negotiations. Most of the major trading partners also have initiated trade agreements with other key trading nations, outside of those in the works with the United States. We are tracking such secondary fallouts as supply chains shift.

To our valued clients, we say, we have your back. We will present a simplified market reassessment by incorporating these changes!

APRIL 2025: NEGOTIATION PHASE

Our April release addresses the impact of tariffs on the overall global market and presents market adjustments by geography. Our trajectories are based on historic data and evolving market impacting factors.

JULY 2025 FINAL TARIFF RESET

Complimentary Update: Our clients will also receive a complimentary update in July after a final reset is announced between nations. The final updated version incorporates clearly defined Tariff Impact Analyses.

Reciprocal and Bilateral Trade & Tariff Impact Analyses:

USA <> CHINA <> MEXICO <> CANADA <> EU <> JAPAN <> INDIA <> 176 OTHER COUNTRIES.

Leading Economists - Our knowledge base tracks 14,949 economists including a select group of most influential Chief Economists of nations, think tanks, trade and industry bodies, big enterprises, and domain experts who are sharing views on the fallout of this unprecedented paradigm shift in the global econometric landscape. Most of our 16,491+ reports have incorporated this two-stage release schedule based on milestones.

COMPLIMENTARY PREVIEW

Contact your sales agent to request an online 300+ page complimentary preview of this research project. Our preview will present full stack sources, and validated domain expert data transcripts. Deep dive into our interactive data-driven online platform.

TABLE OF CONTENTS

I. METHODOLOGY

II. EXECUTIVE SUMMARY

  • 1. MARKET OVERVIEW
    • Influencer Market Insights
    • World Market Trajectories
    • Artificial Intelligence in Telecom - Global Key Competitors Percentage Market Share in 2025 (E)
    • Competitive Market Presence - Strong/Active/Niche/Trivial for Players Worldwide in 2025 (E)
  • 2. FOCUS ON SELECT PLAYERS
  • 3. MARKET TRENDS & DRIVERS
    • Rising Network Complexity and Data Traffic Throws the Spotlight on AI in Telecom Operations
    • Growth in 5G and Edge Deployments Spurs Use of AI for Network Slicing, Resource Allocation, and Load Balancing
    • OEM Integration of AI in Fault Detection and Self-Healing Networks Enhances Uptime and Performance
    • Expansion of Predictive Maintenance and Automated Ticketing Bodes Well for OPEX Reduction
    • Use of AI in Customer Service Chatbots and Voice Assistants Strengthens Subscriber Engagement
    • Telecom Analytics Platforms Leverage AI for Churn Prediction and Targeted Retention Strategies
    • Adoption of AI in Fraud Detection and Revenue Assurance Supports Real-Time Risk Mitigation
    • AI-Based Traffic Analysis Enhances QoS for Video Streaming, VoIP, and Gaming Applications
    • Growth in Telecom AI-as-a-Service Platforms Enables SME Access to Advanced Network Intelligence
    • Use in Dynamic Spectrum Management and Energy Optimization Supports Green Telecom Objectives
  • 4. GLOBAL MARKET PERSPECTIVE
    • TABLE 1: World Artificial Intelligence in Telecom Market Analysis of Annual Sales in US$ for Years 2015 through 2030
    • TABLE 2: World Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ for Years 2024 through 2030 and % CAGR
    • TABLE 3: World 6-Year Perspective for Artificial Intelligence in Telecom by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets for Years 2025 & 2030
    • TABLE 4: World Recent Past, Current & Future Analysis for Solutions by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ for Years 2024 through 2030 and % CAGR
    • TABLE 5: World 6-Year Perspective for Solutions by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 6: World Recent Past, Current & Future Analysis for Services by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ for Years 2024 through 2030 and % CAGR
    • TABLE 7: World 6-Year Perspective for Services by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 8: World Recent Past, Current & Future Analysis for Network Optimization by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ for Years 2024 through 2030 and % CAGR
    • TABLE 9: World 6-Year Perspective for Network Optimization by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 10: World Recent Past, Current & Future Analysis for Self-Diagnostics by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ for Years 2024 through 2030 and % CAGR
    • TABLE 11: World 6-Year Perspective for Self-Diagnostics by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 12: World Recent Past, Current & Future Analysis for Virtual Assistance by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ for Years 2024 through 2030 and % CAGR
    • TABLE 13: World 6-Year Perspective for Virtual Assistance by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 14: World Recent Past, Current & Future Analysis for Other Applications by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ for Years 2024 through 2030 and % CAGR
    • TABLE 15: World 6-Year Perspective for Other Applications by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 16: World Recent Past, Current & Future Analysis for Customer Analytics by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ for Years 2024 through 2030 and % CAGR
    • TABLE 17: World 6-Year Perspective for Customer Analytics by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 18: World Recent Past, Current & Future Analysis for Network Security by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ for Years 2024 through 2030 and % CAGR
    • TABLE 19: World 6-Year Perspective for Network Security by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 20: World Recent Past, Current & Future Analysis for Cloud by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ for Years 2024 through 2030 and % CAGR
    • TABLE 21: World 6-Year Perspective for Cloud by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 22: World Recent Past, Current & Future Analysis for On-Premise by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ for Years 2024 through 2030 and % CAGR
    • TABLE 23: World 6-Year Perspective for On-Premise by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 24: World Recent Past, Current & Future Analysis for Machine Learning by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ for Years 2024 through 2030 and % CAGR
    • TABLE 25: World 6-Year Perspective for Machine Learning by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 26: World Recent Past, Current & Future Analysis for Natural Language Processing by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ for Years 2024 through 2030 and % CAGR
    • TABLE 27: World 6-Year Perspective for Natural Language Processing by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 28: World Recent Past, Current & Future Analysis for Data Analytics by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ for Years 2024 through 2030 and % CAGR
    • TABLE 29: World 6-Year Perspective for Data Analytics by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030

III. MARKET ANALYSIS

  • UNITED STATES
    • Artificial Intelligence in Telecom Market Presence - Strong/Active/Niche/Trivial - Key Competitors in the United States for 2025 (E)
    • TABLE 30: USA Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Component - Solutions and Services - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 31: USA 6-Year Perspective for Artificial Intelligence in Telecom by Component - Percentage Breakdown of Value Sales for Solutions and Services for the Years 2025 & 2030
    • TABLE 32: USA Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Application - Network Optimization, Self-Diagnostics, Virtual Assistance, Other Applications, Customer Analytics and Network Security - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 33: USA 6-Year Perspective for Artificial Intelligence in Telecom by Application - Percentage Breakdown of Value Sales for Network Optimization, Self-Diagnostics, Virtual Assistance, Other Applications, Customer Analytics and Network Security for the Years 2025 & 2030
    • TABLE 34: USA Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Deployment - Cloud and On-Premise - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 35: USA 6-Year Perspective for Artificial Intelligence in Telecom by Deployment - Percentage Breakdown of Value Sales for Cloud and On-Premise for the Years 2025 & 2030
    • TABLE 36: USA Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Technology - Machine Learning, Natural Language Processing and Data Analytics - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 37: USA 6-Year Perspective for Artificial Intelligence in Telecom by Technology - Percentage Breakdown of Value Sales for Machine Learning, Natural Language Processing and Data Analytics for the Years 2025 & 2030
  • CANADA
    • TABLE 38: Canada Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Component - Solutions and Services - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 39: Canada 6-Year Perspective for Artificial Intelligence in Telecom by Component - Percentage Breakdown of Value Sales for Solutions and Services for the Years 2025 & 2030
    • TABLE 40: Canada Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Application - Network Optimization, Self-Diagnostics, Virtual Assistance, Other Applications, Customer Analytics and Network Security - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 41: Canada 6-Year Perspective for Artificial Intelligence in Telecom by Application - Percentage Breakdown of Value Sales for Network Optimization, Self-Diagnostics, Virtual Assistance, Other Applications, Customer Analytics and Network Security for the Years 2025 & 2030
    • TABLE 42: Canada Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Deployment - Cloud and On-Premise - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 43: Canada 6-Year Perspective for Artificial Intelligence in Telecom by Deployment - Percentage Breakdown of Value Sales for Cloud and On-Premise for the Years 2025 & 2030
    • TABLE 44: Canada Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Technology - Machine Learning, Natural Language Processing and Data Analytics - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 45: Canada 6-Year Perspective for Artificial Intelligence in Telecom by Technology - Percentage Breakdown of Value Sales for Machine Learning, Natural Language Processing and Data Analytics for the Years 2025 & 2030
  • JAPAN
    • Artificial Intelligence in Telecom Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Japan for 2025 (E)
    • TABLE 46: Japan Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Component - Solutions and Services - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 47: Japan 6-Year Perspective for Artificial Intelligence in Telecom by Component - Percentage Breakdown of Value Sales for Solutions and Services for the Years 2025 & 2030
    • TABLE 48: Japan Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Application - Network Optimization, Self-Diagnostics, Virtual Assistance, Other Applications, Customer Analytics and Network Security - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 49: Japan 6-Year Perspective for Artificial Intelligence in Telecom by Application - Percentage Breakdown of Value Sales for Network Optimization, Self-Diagnostics, Virtual Assistance, Other Applications, Customer Analytics and Network Security for the Years 2025 & 2030
    • TABLE 50: Japan Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Deployment - Cloud and On-Premise - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 51: Japan 6-Year Perspective for Artificial Intelligence in Telecom by Deployment - Percentage Breakdown of Value Sales for Cloud and On-Premise for the Years 2025 & 2030
    • TABLE 52: Japan Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Technology - Machine Learning, Natural Language Processing and Data Analytics - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 53: Japan 6-Year Perspective for Artificial Intelligence in Telecom by Technology - Percentage Breakdown of Value Sales for Machine Learning, Natural Language Processing and Data Analytics for the Years 2025 & 2030
  • CHINA
    • Artificial Intelligence in Telecom Market Presence - Strong/Active/Niche/Trivial - Key Competitors in China for 2025 (E)
    • TABLE 54: China Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Component - Solutions and Services - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 55: China 6-Year Perspective for Artificial Intelligence in Telecom by Component - Percentage Breakdown of Value Sales for Solutions and Services for the Years 2025 & 2030
    • TABLE 56: China Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Application - Network Optimization, Self-Diagnostics, Virtual Assistance, Other Applications, Customer Analytics and Network Security - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 57: China 6-Year Perspective for Artificial Intelligence in Telecom by Application - Percentage Breakdown of Value Sales for Network Optimization, Self-Diagnostics, Virtual Assistance, Other Applications, Customer Analytics and Network Security for the Years 2025 & 2030
    • TABLE 58: China Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Deployment - Cloud and On-Premise - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 59: China 6-Year Perspective for Artificial Intelligence in Telecom by Deployment - Percentage Breakdown of Value Sales for Cloud and On-Premise for the Years 2025 & 2030
    • TABLE 60: China Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Technology - Machine Learning, Natural Language Processing and Data Analytics - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 61: China 6-Year Perspective for Artificial Intelligence in Telecom by Technology - Percentage Breakdown of Value Sales for Machine Learning, Natural Language Processing and Data Analytics for the Years 2025 & 2030
  • EUROPE
    • Artificial Intelligence in Telecom Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Europe for 2025 (E)
    • TABLE 62: Europe Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Geographic Region - France, Germany, Italy, UK and Rest of Europe Markets - Independent Analysis of Annual Sales in US$ for Years 2024 through 2030 and % CAGR
    • TABLE 63: Europe 6-Year Perspective for Artificial Intelligence in Telecom by Geographic Region - Percentage Breakdown of Value Sales for France, Germany, Italy, UK and Rest of Europe Markets for Years 2025 & 2030
    • TABLE 64: Europe Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Component - Solutions and Services - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 65: Europe 6-Year Perspective for Artificial Intelligence in Telecom by Component - Percentage Breakdown of Value Sales for Solutions and Services for the Years 2025 & 2030
    • TABLE 66: Europe Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Application - Network Optimization, Self-Diagnostics, Virtual Assistance, Other Applications, Customer Analytics and Network Security - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 67: Europe 6-Year Perspective for Artificial Intelligence in Telecom by Application - Percentage Breakdown of Value Sales for Network Optimization, Self-Diagnostics, Virtual Assistance, Other Applications, Customer Analytics and Network Security for the Years 2025 & 2030
    • TABLE 68: Europe Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Deployment - Cloud and On-Premise - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 69: Europe 6-Year Perspective for Artificial Intelligence in Telecom by Deployment - Percentage Breakdown of Value Sales for Cloud and On-Premise for the Years 2025 & 2030
    • TABLE 70: Europe Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Technology - Machine Learning, Natural Language Processing and Data Analytics - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 71: Europe 6-Year Perspective for Artificial Intelligence in Telecom by Technology - Percentage Breakdown of Value Sales for Machine Learning, Natural Language Processing and Data Analytics for the Years 2025 & 2030
  • FRANCE
    • Artificial Intelligence in Telecom Market Presence - Strong/Active/Niche/Trivial - Key Competitors in France for 2025 (E)
    • TABLE 72: France Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Component - Solutions and Services - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 73: France 6-Year Perspective for Artificial Intelligence in Telecom by Component - Percentage Breakdown of Value Sales for Solutions and Services for the Years 2025 & 2030
    • TABLE 74: France Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Application - Network Optimization, Self-Diagnostics, Virtual Assistance, Other Applications, Customer Analytics and Network Security - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 75: France 6-Year Perspective for Artificial Intelligence in Telecom by Application - Percentage Breakdown of Value Sales for Network Optimization, Self-Diagnostics, Virtual Assistance, Other Applications, Customer Analytics and Network Security for the Years 2025 & 2030
    • TABLE 76: France Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Deployment - Cloud and On-Premise - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 77: France 6-Year Perspective for Artificial Intelligence in Telecom by Deployment - Percentage Breakdown of Value Sales for Cloud and On-Premise for the Years 2025 & 2030
    • TABLE 78: France Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Technology - Machine Learning, Natural Language Processing and Data Analytics - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 79: France 6-Year Perspective for Artificial Intelligence in Telecom by Technology - Percentage Breakdown of Value Sales for Machine Learning, Natural Language Processing and Data Analytics for the Years 2025 & 2030
  • GERMANY
    • Artificial Intelligence in Telecom Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Germany for 2025 (E)
    • TABLE 80: Germany Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Component - Solutions and Services - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 81: Germany 6-Year Perspective for Artificial Intelligence in Telecom by Component - Percentage Breakdown of Value Sales for Solutions and Services for the Years 2025 & 2030
    • TABLE 82: Germany Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Application - Network Optimization, Self-Diagnostics, Virtual Assistance, Other Applications, Customer Analytics and Network Security - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 83: Germany 6-Year Perspective for Artificial Intelligence in Telecom by Application - Percentage Breakdown of Value Sales for Network Optimization, Self-Diagnostics, Virtual Assistance, Other Applications, Customer Analytics and Network Security for the Years 2025 & 2030
    • TABLE 84: Germany Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Deployment - Cloud and On-Premise - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 85: Germany 6-Year Perspective for Artificial Intelligence in Telecom by Deployment - Percentage Breakdown of Value Sales for Cloud and On-Premise for the Years 2025 & 2030
    • TABLE 86: Germany Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Technology - Machine Learning, Natural Language Processing and Data Analytics - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 87: Germany 6-Year Perspective for Artificial Intelligence in Telecom by Technology - Percentage Breakdown of Value Sales for Machine Learning, Natural Language Processing and Data Analytics for the Years 2025 & 2030
  • ITALY
    • TABLE 88: Italy Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Component - Solutions and Services - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 89: Italy 6-Year Perspective for Artificial Intelligence in Telecom by Component - Percentage Breakdown of Value Sales for Solutions and Services for the Years 2025 & 2030
    • TABLE 90: Italy Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Application - Network Optimization, Self-Diagnostics, Virtual Assistance, Other Applications, Customer Analytics and Network Security - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 91: Italy 6-Year Perspective for Artificial Intelligence in Telecom by Application - Percentage Breakdown of Value Sales for Network Optimization, Self-Diagnostics, Virtual Assistance, Other Applications, Customer Analytics and Network Security for the Years 2025 & 2030
    • TABLE 92: Italy Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Deployment - Cloud and On-Premise - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 93: Italy 6-Year Perspective for Artificial Intelligence in Telecom by Deployment - Percentage Breakdown of Value Sales for Cloud and On-Premise for the Years 2025 & 2030
    • TABLE 94: Italy Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Technology - Machine Learning, Natural Language Processing and Data Analytics - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 95: Italy 6-Year Perspective for Artificial Intelligence in Telecom by Technology - Percentage Breakdown of Value Sales for Machine Learning, Natural Language Processing and Data Analytics for the Years 2025 & 2030
  • UNITED KINGDOM
    • Artificial Intelligence in Telecom Market Presence - Strong/Active/Niche/Trivial - Key Competitors in the United Kingdom for 2025 (E)
    • TABLE 96: UK Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Component - Solutions and Services - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 97: UK 6-Year Perspective for Artificial Intelligence in Telecom by Component - Percentage Breakdown of Value Sales for Solutions and Services for the Years 2025 & 2030
    • TABLE 98: UK Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Application - Network Optimization, Self-Diagnostics, Virtual Assistance, Other Applications, Customer Analytics and Network Security - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 99: UK 6-Year Perspective for Artificial Intelligence in Telecom by Application - Percentage Breakdown of Value Sales for Network Optimization, Self-Diagnostics, Virtual Assistance, Other Applications, Customer Analytics and Network Security for the Years 2025 & 2030
    • TABLE 100: UK Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Deployment - Cloud and On-Premise - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 101: UK 6-Year Perspective for Artificial Intelligence in Telecom by Deployment - Percentage Breakdown of Value Sales for Cloud and On-Premise for the Years 2025 & 2030
    • TABLE 102: UK Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Technology - Machine Learning, Natural Language Processing and Data Analytics - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 103: UK 6-Year Perspective for Artificial Intelligence in Telecom by Technology - Percentage Breakdown of Value Sales for Machine Learning, Natural Language Processing and Data Analytics for the Years 2025 & 2030
  • REST OF EUROPE
    • TABLE 104: Rest of Europe Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Component - Solutions and Services - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 105: Rest of Europe 6-Year Perspective for Artificial Intelligence in Telecom by Component - Percentage Breakdown of Value Sales for Solutions and Services for the Years 2025 & 2030
    • TABLE 106: Rest of Europe Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Application - Network Optimization, Self-Diagnostics, Virtual Assistance, Other Applications, Customer Analytics and Network Security - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 107: Rest of Europe 6-Year Perspective for Artificial Intelligence in Telecom by Application - Percentage Breakdown of Value Sales for Network Optimization, Self-Diagnostics, Virtual Assistance, Other Applications, Customer Analytics and Network Security for the Years 2025 & 2030
    • TABLE 108: Rest of Europe Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Deployment - Cloud and On-Premise - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 109: Rest of Europe 6-Year Perspective for Artificial Intelligence in Telecom by Deployment - Percentage Breakdown of Value Sales for Cloud and On-Premise for the Years 2025 & 2030
    • TABLE 110: Rest of Europe Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Technology - Machine Learning, Natural Language Processing and Data Analytics - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 111: Rest of Europe 6-Year Perspective for Artificial Intelligence in Telecom by Technology - Percentage Breakdown of Value Sales for Machine Learning, Natural Language Processing and Data Analytics for the Years 2025 & 2030
  • ASIA-PACIFIC
    • Artificial Intelligence in Telecom Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Asia-Pacific for 2025 (E)
    • TABLE 112: Asia-Pacific Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Component - Solutions and Services - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 113: Asia-Pacific 6-Year Perspective for Artificial Intelligence in Telecom by Component - Percentage Breakdown of Value Sales for Solutions and Services for the Years 2025 & 2030
    • TABLE 114: Asia-Pacific Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Application - Network Optimization, Self-Diagnostics, Virtual Assistance, Other Applications, Customer Analytics and Network Security - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 115: Asia-Pacific 6-Year Perspective for Artificial Intelligence in Telecom by Application - Percentage Breakdown of Value Sales for Network Optimization, Self-Diagnostics, Virtual Assistance, Other Applications, Customer Analytics and Network Security for the Years 2025 & 2030
    • TABLE 116: Asia-Pacific Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Deployment - Cloud and On-Premise - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 117: Asia-Pacific 6-Year Perspective for Artificial Intelligence in Telecom by Deployment - Percentage Breakdown of Value Sales for Cloud and On-Premise for the Years 2025 & 2030
    • TABLE 118: Asia-Pacific Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Technology - Machine Learning, Natural Language Processing and Data Analytics - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 119: Asia-Pacific 6-Year Perspective for Artificial Intelligence in Telecom by Technology - Percentage Breakdown of Value Sales for Machine Learning, Natural Language Processing and Data Analytics for the Years 2025 & 2030
  • REST OF WORLD
    • TABLE 120: Rest of World Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Component - Solutions and Services - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 121: Rest of World 6-Year Perspective for Artificial Intelligence in Telecom by Component - Percentage Breakdown of Value Sales for Solutions and Services for the Years 2025 & 2030
    • TABLE 122: Rest of World Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Application - Network Optimization, Self-Diagnostics, Virtual Assistance, Other Applications, Customer Analytics and Network Security - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 123: Rest of World 6-Year Perspective for Artificial Intelligence in Telecom by Application - Percentage Breakdown of Value Sales for Network Optimization, Self-Diagnostics, Virtual Assistance, Other Applications, Customer Analytics and Network Security for the Years 2025 & 2030
    • TABLE 124: Rest of World Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Deployment - Cloud and On-Premise - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 125: Rest of World 6-Year Perspective for Artificial Intelligence in Telecom by Deployment - Percentage Breakdown of Value Sales for Cloud and On-Premise for the Years 2025 & 2030
    • TABLE 126: Rest of World Recent Past, Current & Future Analysis for Artificial Intelligence in Telecom by Technology - Machine Learning, Natural Language Processing and Data Analytics - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 127: Rest of World 6-Year Perspective for Artificial Intelligence in Telecom by Technology - Percentage Breakdown of Value Sales for Machine Learning, Natural Language Processing and Data Analytics for the Years 2025 & 2030

IV. COMPETITION

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