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市場調查報告書
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1624008

通訊領域的人工智慧市場規模、佔有率、成長分析、按組件、按部署模型、按技術、按應用、按地區 - 行業預測,2025-2032 年

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

出版日期: | 出版商: SkyQuest | 英文 165 Pages | 商品交期: 3-5個工作天內

價格
簡介目錄

到 2023 年,全球通訊人工智慧市場規模將達到 22.4 億美元,在預測期內(2025-2032 年)複合年成長率為 40.9%,從 2024 年的 31.6 億美元成長到 2032 年。到2019 年將達到490.3 億美元。

電信公司正在利用人工智慧和自動化來降低營運成本並改善客戶體驗。人工智慧技術幫助開發了自我最佳化網路,允許即時系統調整,同時保持既定的設計參數。此功能使網路營運商能夠快速識別問題的根本原因並防止違反服務等級協定 (SLA)。隨著產業從4G向5G過渡,預期的超低延遲將顯著提高資料傳輸速度。此外,通訊基礎設施也擴大支援物聯網 (IoT) 應用。值得注意的是,Google和 AT&T 等智慧財產權夥伴關係為企業透過Google雲端技術利用5G 網路存取鋪平了道路,該技術結合了分析、人工智慧/機器學習和網路,創建5G 環境,從而實現創新產品開發。

目錄

介紹

  • 研究目的
  • 調查範圍
  • 定義

調查方法

  • 資訊採購
  • 二手資料和主要資料方法
  • 市場規模預測
  • 市場假設與限制

執行摘要

  • 全球市場展望
  • 供需趨勢分析
  • 按細分市場的機會分析

市場動態及展望

  • 市場概況
  • 市場規模
  • 市場動態
    • 促進因素和機遇
    • 限制因素和挑戰
  • 波特的分析

主要市場考察

  • 關鍵成功因素
  • 競爭程度
  • 主要投資機會
  • 市場生態系統
  • 市場吸引力指數(2024年)
  • PESTEL分析
  • 總體經濟指標
  • 價值鏈分析
  • 價格分析
  • 技術分析
  • 監管分析
  • 專利分析
  • 案例研究

通訊領域人工智慧市場規模:按組成部分

  • 市場概況
  • 解決方案
  • 服務
    • 託管服務
    • 專業服務

通訊領域人工智慧市場規模:按部署模式分類

  • 市場概況
  • 本地

通訊領域人工智慧市場規模:依技術分類

  • 市場概況
  • 機器學習和深度學習
  • 自然語言處理(NLP)
  • 人工智慧世代
  • 其他

通訊領域人工智慧市場規模:按應用分類

  • 市場概況
  • 客戶分析
  • 網路安全
  • 網路最佳化
  • 自診斷
  • 虛擬援助
  • 其他

通訊領域人工智慧市場規模

  • 北美洲
    • 美國
    • 加拿大
  • 歐洲
    • 德國
    • 西班牙
    • 法國
    • 英國
    • 義大利
    • 其他歐洲國家地區
  • 亞太地區
    • 中國
    • 印度
    • 日本
    • 韓國
    • 其他亞太地區
  • 拉丁美洲
    • 巴西
    • 其他拉丁美洲地區
  • 中東/非洲
    • 海灣合作理事會國家
    • 南非
    • 其他中東/非洲

競爭資訊

  • 前5名企業對比
  • 主要企業市場定位(2024年)
  • 主要市場參與者所採取的策略
  • 近期市場趨勢
  • 公司市場佔有率分析(2024年)
  • 主要企業簡介
    • 公司簡介
    • 產品系列分析
    • 按細分市場分類的佔有率分析
    • 收益與前一年同期比較(2022-2024)

主要企業簡介

  • 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)

結論和建議

簡介目錄
Product Code: SQSG45H2012

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