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通信市场人工智能（AI）：2019-2029年全球市场规模、份额、趋势分析、机会和预测报告
市场调查报告书
商品编码
1301794

通信市场人工智能（AI）：2019-2029年全球市场规模、份额、趋势分析、机会和预测报告

Artificial Intelligence in Telecommunication Market - Global Size, Share, Trend Analysis, Opportunity and Forecast Report, 2019-2029, Segmented By Component ; By Deployment Model ; By Technology ; By Application ; By Region
出版日期: | 出版商: Blueweave Consulting | 英文 400 Pages | 商品交期: 2-3个工作天内

价格
简介目录

到 2029 年，全球电信人工智能 (AI) 市场将增长 15 倍以上，达到 364 亿美元

由于监控电信网络上传播的内容的需求不断增长、智能手机中 5G 技术的不断涌现以及人工智能解决方案在各种电信应用中的高采用率，全球电信人工智能 (AI) 市场正在蓬勃发展。

领先的战略咨询和市场研究公司 BlueWeave Consulting 最近的一项研究估计，2022 年全球电信人工智能 (AI) 市场规模为 24.1 亿美元。 BlueWeave预测，2023-2029年预测期内，全球电信人工智能（AI）市场规模将以40.25%的年复合成长率稳步增长，2029年达到363.8亿美元。全球电信人工智能（AI）市场的主要增长促进因素包括对高效网络管理的需求不断增长、数据流量的增加、对个性化客户体验的需求不断增长、电信业务的自动化和预测、维护需求等。视频流等 Over-The-Top (OTT) 服务的出现改变了音视频内容的交付和消费。随着OTT服务的用户数量不断增长，对带宽的需求也大幅激增。 OTT 服务流量的激增给电信行业带来了巨大的运营成本。然而，人工智能在电信领域的集成提供了一种解决方案，可以通过最大限度地减少人工参与网络配置和维护的需要来降低运营成本。自动化还使电信公司能够简化客户入职流程并加速新服务的推出。因此，这些因素预计将在预测期内推动全球电信人工智能 (AI) 市场的扩张。

该报告的详细分析提供了有关全球电信市场人工智能（AI）增长潜力、未来趋势和统计数据的信息。它还涵盖了推动市场总规模预测的因素。该报告致力于提供全球通信市场人工智能（AI）的最新技术趋势，以及行业见解，帮助决策者做出明智的战略决策。它还分析了市场的增长促进因素、挑战和竞争力。

目录

第1章研究框架

第2章执行摘要

第3章电信人工智能 (AI) 市场洞察

  • 行业价值链分析
  • DROC分析
    • 增长动力
      • 各种通信应用中越来越多地采用人工智能解决方案
      • 5G技术在智能手机中的兴起
      • 监控通过通信网络传播的内容的需求日益增长
    • 抑制因素
      • 通信系统与AI技术不兼容
    • 机会
      • 电信行业云AI产品
      • 使用配备人工智能的智能手机
    • 任务
      • 技能不足
      • 个人隐私和身份问题
  • 技术进步/最新发展
  • 监管框架
  • 波特五力分析

第4章通信领域人工智能（AI）市场概述

  • 2019-2029 年市场规模和价值预测
    • 按金额
  • 市场份额及预测
    • 按成分
      • 解决方案
      • 服务
    • 按部署模型
      • 本地
      • 云
    • 通过技术
      • 机器学习
      • 自然语言处理（NLP）
      • 数据分析
      • 其他的
    • 按用途
      • 客户分析
      • 网络安全
      • 网络优化
      • 自诊断
      • 虚拟协助
      • 其他的
    • 按地区
      • 北美
      • 欧洲
      • 亚太地区
      • 拉美
      • 中东和非洲

第5章北美电信人工智能（AI）市场

  • 2019-2029 年市场规模和价值预测
    • 按金额
  • 市场份额及预测
    • 按成分
    • 按部署模型
    • 通过技术
    • 按用途
    • 按国家/地区
      • 我们
      • 加拿大

第6章欧洲电信人工智能（AI）市场

  • 2019-2029 年市场规模和价值预测
    • 按金额
  • 市场份额及预测
    • 按成分
    • 按部署模型
    • 通过技术
    • 按用途
    • 按国家/地区
      • 德国
      • 英国
      • 意大利
      • 法国
      • 西班牙
      • 比利时
      • 俄罗斯
      • 荷兰
      • 其他欧洲国家

第7章亚太电信人工智能（AI）市场

  • 2019-2029 年市场规模和价值预测
    • 按金额
  • 市场份额及预测
    • 按成分
    • 按部署模型
    • 通过技术
    • 按用途
    • 按国家/地区
      • 中国
      • 印度
      • 日本
      • 韩国
      • 澳大利亚和新西兰
      • 印尼
      • 马来西亚
      • 新加坡
      • 越南
      • 亚太地区其他国家

第8章拉丁美洲电信人工智能（AI）市场

  • 2019-2029 年市场规模和价值预测
    • 按金额
  • 市场份额及预测
    • 按成分
    • 按部署模型
    • 通过技术
    • 按用途
    • 按国家/地区
      • 巴西
      • 阿根廷
      • 秘鲁
      • 拉丁美洲其他地区

第9章中东和非洲电信人工智能（AI）市场

  • 2019-2029 年市场规模和价值预测
    • 按金额
  • 市场份额及预测
    • 按成分
    • 按部署模型
    • 通过技术
    • 按用途
    • 按国家/地区
      • 沙特阿拉伯
      • 阿拉伯联合酋长国
      • 卡塔尔
      • 科威特
      • 南非
      • 尼日利亚
      • 阿尔及利亚
      • MEA 的其余部分

第10章竞争格局

  • 主要公司及其产品列表
  • 2022 年全球电信公司人工智能市场份额分析
  • 通过运行参数进行竞争基准测试
  • 主要战略发展（合併、收购、合作伙伴关係等）

第11章COVID-19 对通信人工智能 (AI) 市场的影响

第12章公司简介（公司简介、财务矩阵、竞争格局、关键人才、主要竞争、联繫地址、战略展望、SWOT分析）

  • IBM
  • Microsoft
  • Intel
  • Google
  • AT&T
  • Cisco Systems
  • Nuance Communications
  • Sentient Technologies
  • H2O.ai
  • Infosys
  • Salesforce
  • Nvidia
  • Other Prominent Players.

第13章关键战略建议

第14章调查方法

简介目录
Product Code: BWC23485

Global Artificial Intelligence (AI) in Telecommunication Market Size Zooming More Than 15X at Touch USD 36.4 Billion by 2029

Global artificial intelligence (AI) in telecommunication market is flourishing because of an increasing need for monitoring the content spread on telecommunication networks, growing advent of 5G technology in smartphones, and high adoption of AI solutions in various telecom applications

BlueWeave Consulting, a leading strategic consulting and market research firm, in its recent study, estimated global artificial intelligence (AI) in telecommunication market size at USD 2.41 billion in 2022. During the forecast period between 2023 and 2029, BlueWeave expects global artificial intelligence (AI) in telecommunication market size to grow at a robust CAGR of 40.25% reaching a value of USD 36.38 billion by 2029. Major growth drivers for the global artificial intelligence (AI) in telecommunication market include an increasing need for efficient network management, rising data traffic, growing demand for personalized customer experiences, and the requirement for automation and predictive maintenance in telecom operations. The emergence of Over-The-Top (OTT) services, such as video streaming, has transformed the distribution and consumption of audio and video content. As the number of OTT service users continues to rise, there is a significant surge in bandwidth demand. This surge in traffic from OTT services poses a considerable operational cost for the telecommunication industry. However, the integration of AI in the telecom sector offers a solution to reduce operational expenses by minimizing the need for human involvement in network configuration and maintenance. Also, automation enables telecom companies to streamline customer onboarding processes and accelerate the introduction of new services. Consequently, these factors are expected to drive the expansion of the global artificial intelligence (AI) in telecommunication market during the forecast period.

Global Artificial Intelligence in Telecommunication Market - Overview:

Artificial intelligence (AI) empowers the telecommunication industry to leverage its extensive datasets, facilitating streamlined business management and enhanced issue resolution. By harnessing AI capabilities, telecom companies can provide improved customer service and satisfaction. AI represents a cutting-edge technology that mimics human intelligence, enabling machines to make decisions. This transformative technology encompasses features, such as speech recognition, visual recognition, image recognition, and language translation, which are instrumental in driving market growth. Its impact extends across multiple industrial sectors, with telecommunication being particularly influenced. Within the realm of telecommunication, AI presents a wide array of application possibilities, including customer service optimization and network performance enhancement.

Impact of COVID-19 on Global Artificial Intelligence in Telecommunication Market

COVID-19 pandemic had a dual impact on the global artificial intelligence (AI) in telecommunication market. On the one hand, it accelerated the demand for AI-based solutions to manage increased network traffic, optimize resources, and enhance remote communication. This has fueled the adoption of AI in the telecommunication sector. On the other hand, supply chain disruptions and budget constraints have hindered the implementation of AI initiatives. Additionally, regulatory and privacy concerns surrounding AI usage in telecommunication have emerged. Despite the challenges, the recovery from the pandemic is expected to drive the resurgence of AI adoption, as the need for efficient network management and personalized customer experiences persists in the post-pandemic world.

Global Artificial Intelligence in Telecommunication Market - By Application:

Based on application, the global artificial intelligence (AI) in telecommunication market is divided into Customer Analytics Network Security, Network Optimization, Self-Diagnostics, and Virtual Assistance segments. The virtual assistance segment holds the highest share in the global artificial intelligence (AI) in telecommunication market due to its ability to revolutionize customer interactions and support services. Virtual assistants powered by AI can handle customer queries, provide personalized recommendations, and perform tasks like bill payments or service activations. This improves customer satisfaction, reduces wait times, and enhances operational efficiency. Virtual assistants are available round-the-clock and offer consistent service, thereby reducing the need for human intervention. They can also integrate with various channels like websites, apps, and voice interfaces, providing seamless and convenient customer experiences. The growing demand for enhanced customer support and the desire for self-service options contribute to the dominance of the virtual assistance segment in the AI in telecommunication market. Meanwhile, the customer analytics segment holds the second highest share in the global artificial intelligence (AI) in telecommunication market due to its critical role in improving customer understanding and driving personalized experiences. Telecom companies leverage customer analytics powered by AI to gain insights from vast amounts of customer data. These insights enable them to understand customer preferences, behavior patterns, and needs, allowing for targeted marketing campaigns, personalized offers, and improved customer retention. Customer analytics also helps in detecting potential churn, identifying high-value customers, and optimizing customer journeys. By harnessing the power of AI, telecom companies can make data-driven decisions and deliver tailored experiences that enhance customer satisfaction and loyalty. The increasing focus on customer-centric strategies and the need for competitive differentiation contribute to the significance of the customer analytics segment in the AI in telecommunication market.

Competitive Landscape:

Major players operating in the global artificial intelligence (AI) in telecommunication market include: IBM, Microsoft, Intel, Google, AT&T, Cisco Systems, Nuance Communications, Sentient Technologies, H2O.ai, Infosys, Salesforce, and Nvidia. To further enhance their market share, these companies employ various strategies, including mergers and acquisitions, partnerships, joint ventures, license agreements, and new product launches.

The in-depth analysis of the report provides information about growth potential, upcoming trends, and statistics of Global Artificial Intelligence (AI) in Telecommunication Market. It also highlights the factors driving forecasts of total market size. The report promises to provide recent technology trends in Global Artificial Intelligence (AI) in Telecommunication Market and industry insights to help decision-makers make sound strategic decisions. Furthermore, the report also analyzes the growth drivers, challenges, and competitive dynamics of the market.

Table of Contents

1. Research Framework

  • 1.1. Research Objective
  • 1.2. Product Overview
  • 1.3. Market Segmentation

2. Executive Summary

3. Global Artificial Intelligence (AI) in Telecommunication Market Insights

  • 3.1. Industry Value Chain Analysis
  • 3.2. DROC Analysis
    • 3.2.1. Growth Drivers
      • 3.2.1.1. Growing adoption of AI solutions in various telecom applications
      • 3.2.1.2. The advent of 5G technology in smartphones
      • 3.2.1.3. Rising Need for Monitoring the content spread on Telecommunication Networks
    • 3.2.2. Restraints
      • 3.2.2.1. Incompatibility between telecommunication systems and AI technology
    • 3.2.3. Opportunities
      • 3.2.3.1. Cloud based AI offerings in the Telecommunication Industry
      • 3.2.3.2. Utilization of AI-enabled Smartphones
    • 3.2.4. Challenges
      • 3.2.4.1. Insufficient Skills
      • 3.2.4.2. Concerns over the privacy and Identity of Individuals
  • 3.3. Technological Advancements/Recent Developments
  • 3.4. Regulatory Framework
  • 3.5. Porter's Five Forces Analysis
    • 3.5.1. Bargaining Power of Suppliers
    • 3.5.2. Bargaining Power of Buyers
    • 3.5.3. Threat of New Entrants
    • 3.5.4. Threat of Substitutes
    • 3.5.5. Intensity of Rivalry

4. Global Artificial Intelligence (AI) in Telecommunication Market Overview

  • 4.1. Market Size & Forecast by Value, 2019-2029
    • 4.1.1. By Value (USD Billion)
  • 4.2. Market Share & Forecast
    • 4.2.1. By Component
      • 4.2.1.1. Solution
      • 4.2.1.2. Service
    • 4.2.2. By Deployment Model
      • 4.2.2.1. On-premises
      • 4.2.2.2. Cloud
    • 4.2.3. By Technology
      • 4.2.3.1. Machine Learning
      • 4.2.3.2. Natural Language Processing (NLP)
      • 4.2.3.3. Data Analytics
      • 4.2.3.4. Others
    • 4.2.4. By Application
      • 4.2.4.1. Customer Analytics
      • 4.2.4.2. Network Security
      • 4.2.4.3. Network Optimization
      • 4.2.4.4. Self-Diagnostics
      • 4.2.4.5. Virtual Assistance
      • 4.2.4.6. Others
    • 4.2.5. By Region
      • 4.2.5.1. North America
      • 4.2.5.2. Europe
      • 4.2.5.3. Asia Pacific
      • 4.2.5.4. Latin America
      • 4.2.5.5. Middle East and Africa

5. North America Artificial Intelligence (AI) in Telecommunication Market

  • 5.1. Market Size & Forecast by Value, 2019-2029
    • 5.1.1. By Value (USD Billion)
  • 5.2. Market Share & Forecast
    • 5.2.1. By Component
    • 5.2.2. By Deployment Model
    • 5.2.3. By Technology
    • 5.2.4. By Application
    • 5.2.5. By Country
      • 5.2.5.1. United States
      • 5.2.5.1.1. By Component
      • 5.2.5.1.2. By Deployment Model
      • 5.2.5.1.3. By Technology
      • 5.2.5.1.4. By Application
      • 5.2.5.2. Canada
      • 5.2.5.2.1. By Component
      • 5.2.5.2.2. By Deployment Model
      • 5.2.5.2.3. By Technology
      • 5.2.5.2.4. By Application

6. Europe Artificial Intelligence (AI) in Telecommunication Market

  • 6.1. Market Size & Forecast by Value, 2019-2029
    • 6.1.1. By Value (USD Billion)
  • 6.2. Market Share & Forecast
    • 6.2.1. By Component
    • 6.2.2. By Deployment Model
    • 6.2.3. By Technology
    • 6.2.4. By Application
    • 6.2.5. By Country
      • 6.2.5.1. Germany
      • 6.2.5.1.1. By Component
      • 6.2.5.1.2. By Deployment Model
      • 6.2.5.1.3. By Technology
      • 6.2.5.1.4. By Application
      • 6.2.5.2. United Kingdom
      • 6.2.5.2.1. By Component
      • 6.2.5.2.2. By Deployment Model
      • 6.2.5.2.3. By Technology
      • 6.2.5.2.4. By Application
      • 6.2.5.3. Italy
      • 6.2.5.3.1. By Component
      • 6.2.5.3.2. By Deployment Model
      • 6.2.5.3.3. By Technology
      • 6.2.5.3.4. By Application
      • 6.2.5.4. France
      • 6.2.5.4.1. By Component
      • 6.2.5.4.2. By Deployment Model
      • 6.2.5.4.3. By Technology
      • 6.2.5.4.4. By Application
      • 6.2.5.5. Spain
      • 6.2.5.5.1. By Component
      • 6.2.5.5.2. By Deployment Model
      • 6.2.5.5.3. By Technology
      • 6.2.5.5.4. By Application
      • 6.2.5.6. Belgium
      • 6.2.5.6.1. By Component
      • 6.2.5.6.2. By Deployment Model
      • 6.2.5.6.3. By Technology
      • 6.2.5.6.4. By Application
      • 6.2.5.7. Russia
      • 6.2.5.7.1. By Component
      • 6.2.5.7.2. By Deployment Model
      • 6.2.5.7.3. By Technology
      • 6.2.5.7.4. By Application
      • 6.2.5.8. The Netherlands
      • 6.2.5.8.1. By Component
      • 6.2.5.8.2. By Deployment Model
      • 6.2.5.8.3. By Technology
      • 6.2.5.8.4. By Application
      • 6.2.5.9. Rest of Europe
      • 6.2.5.9.1. By Component
      • 6.2.5.9.2. By Deployment Model
      • 6.2.5.9.3. By Technology
      • 6.2.5.9.4. By Application

7. Asia Pacific Artificial Intelligence (AI) in Telecommunication Market

  • 7.1. Market Size & Forecast by Value, 2019-2029
    • 7.1.1. By Value (USD Billion)
  • 7.2. Market Share & Forecast
    • 7.2.1. By Component
    • 7.2.2. By Deployment Model
    • 7.2.3. By Technology
    • 7.2.4. By Application
    • 7.2.5. By Country
      • 7.2.5.1. China
      • 7.2.5.1.1. By Component
      • 7.2.5.1.2. By Deployment Model
      • 7.2.5.1.3. By Technology
      • 7.2.5.1.4. By Application
      • 7.2.5.2. India
      • 7.2.5.2.1. By Component
      • 7.2.5.2.2. By Deployment Model
      • 7.2.5.2.3. By Technology
      • 7.2.5.2.4. By Application
      • 7.2.5.3. Japan
      • 7.2.5.3.1. By Component
      • 7.2.5.3.2. By Deployment Model
      • 7.2.5.3.3. By Technology
      • 7.2.5.3.4. By Application
      • 7.2.5.4. South Korea
      • 7.2.5.4.1. By Component
      • 7.2.5.4.2. By Deployment Model
      • 7.2.5.4.3. By Technology
      • 7.2.5.4.4. By Application
      • 7.2.5.5. Australia & New Zealand
      • 7.2.5.5.1. By Component
      • 7.2.5.5.2. By Deployment Model
      • 7.2.5.5.3. By Technology
      • 7.2.5.5.4. By Application
      • 7.2.5.6. Indonesia
      • 7.2.5.6.1. By Component
      • 7.2.5.6.2. By Deployment Model
      • 7.2.5.6.3. By Technology
      • 7.2.5.6.4. By Application
      • 7.2.5.7. Malaysia
      • 7.2.5.7.1. By Component
      • 7.2.5.7.2. By Deployment Model
      • 7.2.5.7.3. By Technology
      • 7.2.5.7.4. By Application
      • 7.2.5.8. Singapore
      • 7.2.5.8.1. By Component
      • 7.2.5.8.2. By Deployment Model
      • 7.2.5.8.3. By Technology
      • 7.2.5.8.4. By Application
      • 7.2.5.9. Vietnam
      • 7.2.5.9.1. By Component
      • 7.2.5.9.2. By Deployment Model
      • 7.2.5.9.3. By Technology
      • 7.2.5.9.4. By Application
      • 7.2.5.10. Rest of APAC
      • 7.2.5.10.1. By Component
      • 7.2.5.10.2. By Deployment Model
      • 7.2.5.10.3. By Technology
      • 7.2.5.10.4. By Application

8. Latin America Artificial Intelligence (AI) in Telecommunication Market

  • 8.1. Market Size & Forecast by Value, 2019-2029
    • 8.1.1. By Value (USD Billion)
  • 8.2. Market Share & Forecast
    • 8.2.1. By Component
    • 8.2.2. By Deployment Model
    • 8.2.3. By Technology
    • 8.2.4. By Application
    • 8.2.5. By Country
      • 8.2.5.1. Brazil
      • 8.2.5.1.1. By Component
      • 8.2.5.1.2. By Deployment Model
      • 8.2.5.1.3. By Technology
      • 8.2.5.1.4. By Application
      • 8.2.5.2. Argentina
      • 8.2.5.2.1. By Component
      • 8.2.5.2.2. By Deployment Model
      • 8.2.5.2.3. By Technology
      • 8.2.5.2.4. By Application
      • 8.2.5.3. Peru
      • 8.2.5.3.1. By Component
      • 8.2.5.3.2. By Deployment Model
      • 8.2.5.3.3. By Technology
      • 8.2.5.3.4. By Application
      • 8.2.5.4. Rest of LATAM
      • 8.2.5.4.1. By Component
      • 8.2.5.4.2. By Deployment Model
      • 8.2.5.4.3. By Technology
      • 8.2.5.4.4. By Application

9. Middle East & Africa Artificial Intelligence (AI) in Telecommunication Market

  • 9.1. Market Size & Forecast by Value, 2019-2029
    • 9.1.1. By Value (USD Billion)
  • 9.2. Market Share & Forecast
    • 9.2.1. By Component
    • 9.2.2. By Deployment Model
    • 9.2.3. By Technology
    • 9.2.4. By Application
    • 9.2.5. By Country
      • 9.2.5.1. Saudi Arabia
      • 9.2.5.1.1. By Component
      • 9.2.5.1.2. By Deployment Model
      • 9.2.5.1.3. By Technology
      • 9.2.5.1.4. By Application
      • 9.2.5.2. UAE
      • 9.2.5.2.1. By Component
      • 9.2.5.2.2. By Deployment Model
      • 9.2.5.2.3. By Technology
      • 9.2.5.2.4. By Application
      • 9.2.5.3. Qatar
      • 9.2.5.3.1. By Component
      • 9.2.5.3.2. By Deployment Model
      • 9.2.5.3.3. By Technology
      • 9.2.5.3.4. By Application
      • 9.2.5.4. Kuwait
      • 9.2.5.4.1. By Component
      • 9.2.5.4.2. By Deployment Model
      • 9.2.5.4.3. By Technology
      • 9.2.5.4.4. By Application
      • 9.2.5.5. South Africa
      • 9.2.5.5.1. By Component
      • 9.2.5.5.2. By Deployment Model
      • 9.2.5.5.3. By Technology
      • 9.2.5.5.4. By Application
      • 9.2.5.6. Nigeria
      • 9.2.5.6.1. By Component
      • 9.2.5.6.2. By Deployment Model
      • 9.2.5.6.3. By Technology
      • 9.2.5.6.4. By Application
      • 9.2.5.7. Algeria
      • 9.2.5.7.1. By Component
      • 9.2.5.7.2. By Deployment Model
      • 9.2.5.7.3. By Technology
      • 9.2.5.7.4. By Application
      • 9.2.5.8. Rest of MEA
      • 9.2.5.8.1. By Component
      • 9.2.5.8.2. By Deployment Model
      • 9.2.5.8.3. By Technology
      • 9.2.5.8.4. By Application

10. Competitive Landscape

  • 10.1. List of Key Players and Their Offerings
  • 10.2. Global Artificial Intelligence in Telecommunication Company Market Share Analysis, 2022
  • 10.3. Competitive Benchmarking, By Operating Parameters
  • 10.4. Key Strategic Development (Mergers, Acquisitions, Partnerships, and others)

11. Impact of Covid-19 on Global Artificial Intelligence (AI) in Telecommunication Market

12. Company Profile (Company Overview, Financial Matrix, Competitive landscape, Key Personnel, Key Competitors, Contact Address, Strategic Outlook, and SWOT Analysis)

  • 12.1. IBM
  • 12.2. Microsoft
  • 12.3. Intel
  • 12.4. Google
  • 12.5. AT&T
  • 12.6. Cisco Systems
  • 12.7. Nuance Communications
  • 12.8. Sentient Technologies
  • 12.9. H2O.ai
  • 12.10. Infosys
  • 12.11. Salesforce
  • 12.12. Nvidia
  • 12.13. Other Prominent Players.

13. Key Strategic Recommendations

14. Research Methodology

  • 14.1. Qualitative Research
    • 14.1.1. Primary & Secondary Research
  • 14.2. Quantitative Research
  • 14.3. Market Breakdown & Data Triangulation
    • 14.3.1. Secondary Research
    • 14.3.2. Primary Research
  • 14.4. Breakdown of Primary Research Respondents, By Region
  • 14.5. Assumptions & Limitations