封面
市场调查报告书
商品编码
1624008

通讯领域的人工智慧市场规模、份额、成长分析、按组件、按部署模型、按技术、按应用、按地区 - 行业预测,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个工作天内

价格
简介目录

到 2023 年,全球通讯人工智慧市场规模将达到 22.4 亿美元,在预测期内(2025-2032 年)复合年增长率为 40.9%,从 2024 年的 31.6 亿美元增长到 2032 年。到2019 年将达到490.3 亿美元。

电信公司正在利用人工智慧和自动化来降低营运成本并改善客户体验。人工智慧技术帮助开发了自我优化网络,允许即时系统调整,同时保持既定的设计参数。此功能使网路营运商能够快速识别问题的根本原因并防止违反服务等级协定 (SLA)。随着产业从4G向5G过渡,预期的超低延迟将显着提高资料传输速度。此外,通讯基础设施也越来越多地支援物联网 (IoT) 应用。值得注意的是,Google和 AT&T 等智慧财产权伙伴关係为企业透过Google云端技术利用5G 网路存取铺平了道路,该技术结合了分析、人工智慧/机器学习和网络,创建5G 环境,从而实现创新产品开发。

目录

介绍

  • 研究目的
  • 调查范围
  • 定义

调查方法

  • 资讯采购
  • 二手资料和主要资料方法
  • 市场规模预测
  • 市场假设与限制

执行摘要

  • 全球市场展望
  • 供需趋势分析
  • 按细分市场的机会分析

市场动态及展望

  • 市场概况
  • 市场规模
  • 市场动态
    • 驱动因素和机会
    • 限制因素和挑战
  • 波特的分析

主要市场考察

  • 关键成功因素
  • 竞争程度
  • 主要投资机会
  • 市场生态系统
  • 市场吸引力指数(2024年)
  • PESTEL分析
  • 总体经济指标
  • 价值链分析
  • 价格分析
  • 技术分析
  • 监管分析
  • 专利分析
  • 案例研究

通讯领域人工智慧市场规模:按组成部分

  • 市场概况
  • 解决方案
  • 服务
    • 託管服务
    • 专业服务

通讯领域人工智慧市场规模:按部署模式划分

  • 市场概况
  • 本地

通讯领域人工智慧市场规模:依技术分类

  • 市场概况
  • 机器学习和深度学习
  • 自然语言处理(NLP)
  • 人工智慧世代
  • 其他的

通讯领域人工智慧市场规模:按应用分类

  • 市场概况
  • 客户分析
  • 网路安全
  • 网路最佳化
  • 自诊断
  • 虚拟援助
  • 其他的

通讯领域人工智慧市场规模

  • 北美洲
    • 美国
    • 加拿大
  • 欧洲
    • 德国
    • 西班牙
    • 法国
    • 英国
    • 义大利
    • 其他欧洲国家地区
  • 亚太地区
    • 中国
    • 印度
    • 日本
    • 韩国
    • 其他亚太地区
  • 拉丁美洲
    • 巴西
    • 其他拉丁美洲地区
  • 中东/非洲
    • 海湾合作委员会国家
    • 南非
    • 其他中东/非洲

竞争资讯

  • 前5名企业对比
  • 主要企业市场定位(2024年)
  • 主要市场参与者所采取的策略
  • 近期市场趋势
  • 公司市场占有率分析(2024年)
  • 主要企业简介
    • 公司简介
    • 产品系列分析
    • 按细分市场分類的份额分析
    • 收益与前一年同期比较(2022-2024)

主要企业简介

  • 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)

结论和建议

简介目录
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