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市场调查报告书
商品编码
1356609

通讯市场人工智慧报告：2030 年趋势、预测与竞争分析

AI in the Telecommunication Market Report: Trends, Forecast and Competitive Analysis to 2030
出版日期: | 出版商: Lucintel | 英文 150 Pages | 商品交期: 3个工作天内

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简介目录

通讯的人工智慧趋势与预测

人工智慧在全球通讯市场的前景广阔，在客户分析、网路安全、网路最佳化、自我诊断、虚拟协助市场等领域都有商机。预计到 2030 年，全球通讯人工智慧市场规模将达到 103.736 亿美元，2024 年至 2030 年年复合成长率为 42.3%。促进因素、资料流量的增加、对个人化客户体验的需求不断增长，以及通讯业务对自动化和预测性维护的需求不断增长。

通讯市场的人工智慧洞察

Lucintel 预测，由于通讯公司对人工智慧技术在通讯业的好处的认识不断提高，人工智慧在各种应用中的采用不断增加，以及人工智慧支援的使用不断增加，服务在预测期内将继续成为高成长领域。智慧型手机，我就是。

虚拟协助在预测期内也将实现最高成长率，因为它能够回应客户联络方式，同时提出个人化提案并执行申请帐单和启动服务等任务。它很可能将继续成为一个细分市场。

随着越来越多的通讯业者利用自动化和人工智慧进行客户服务和网路最佳化，预计北美地区将在预测期内实现最高成长。

本报告回答了 11 个关键问题：

  • Q.1. 细分市场中最有前途和高成长的机会是什么？
  • Q.2.哪个细分市场将以更快的速度成长？为什么？
  • Q.3.您认为哪些地区未来会出现更快的成长？为什么？
  • Q.4. 影响市场动态的主要要素有哪些？市场的主要挑战和商业风险是什么？
  • Q.5. 这个市场的商业风险和竞争威胁是什么？
  • Q.6.这个市场有哪些新趋势？为什么？
  • Q.7.市场客户需求有何改变？
  • Q.8. 该市场有哪些新发展以及哪些公司处于领先地位？
  • Q.9.这个市场的主要企业有哪些？主要企业采取哪些策略配合措施来发展业务？
  • Q.10. 该市场上的竞争产品有哪些，由于材料或产品替代导致市场占有率下降的威胁有多大？
  • Q.1.1.过去年度发生了哪些类型的併购，对产业产生了哪些影响？

目录

第1章执行摘要

第2章全球通讯市场中的人工智慧：市场动态

  • 简介、背景、分类
  • 供应链
  • 产业促进因素与挑战

第3章2018-2030年市场趋势及预测分析

  • 宏观经济趋势（2018-2023）与预测（2024-2030）
  • 全球通讯市场人工智慧趋势（2018-2023）及预测（2024-2030）
  • 按全球通讯市场人工智慧的组成部分
    • 解决方案
    • 服务
  • 全球通讯市场人工智慧部署模式
    • 云
    • 本地
  • 全球通讯市场的AI技术
    • 机器学习
    • 自然语言处理（NLP）
    • 资料分析
  • 人工智慧在全球通讯市场的应用
    • 客户分析
    • 网路安全
    • 网路最佳化
    • 自诊断
    • 虚拟协助
    • 其他的

第4章2018-2030年分地区市场趋势及预测分析

  • 北美通讯市场人工智慧（按地区）
  • 北美通讯市场的人工智慧
  • 欧洲通讯市场的人工智慧
  • 亚太通讯市场的人工智慧
  • 其他区域通讯市场中的人工智慧

第5章竞争分析

  • 产品系列分析
  • 营运整合
  • 波特五力分析

第6章成长机会与策略分析

  • 成长机会分析
    • 全球通讯市场的人工智慧成长机会（按组成部分）
    • 全球通讯市场人工智慧成长机会（按部署模式）
    • 人工智慧在全球通讯市场的技术成长机会
    • 全球通讯市场的人工智慧成长机会（按应用）
    • 按地区分類的全球通讯市场人工智慧成长机会
  • 全球通讯市场AI新趋势
  • 战略分析
    • 新产品开发
    • 扩大全球通讯市场的全球人工智慧能力
    • 全球通讯市场中全球人工智慧的合併、收购与合资
    • 认证和许可

第7章主要企业概况

  • IBM
  • Microsoft
  • Intel
  • Google
  • AT&T
  • Cisco Systems
  • Nuance Communications
  • Sentient Technologies
  • H2O.AI
  • Infosys
简介目录

AI in the Telecommunication Trends and Forecast

The future of the AI in the global telecommunication market looks promising with opportunities in the customer analytic, network security, network optimization, self-diagnostic, and virtual assistance markets. The AI in the global telecommunication market is expected to reach an estimated $10,373.6 million by 2030 with a CAGR of 42.3% from 2024 to 2030. The major drivers for this market are surge in demand for efficient network management, growing data traffic, and increasing demand for personalized customer experiences along with rising need for automation and predictive maintenance in telecom operations.

A more than 150-page report is developed to help in your business decisions.

AI in the Telecommunication by Segment

The study includes a forecast for the global AI in the telecommunication by component, deployment mode, technology, application, and region.

AI in the Telecommunication Market by Component [Shipment Analysis by Value from 2018 to 2030]:

  • Solutions
  • Services

AI in the Telecommunication Market by Deployment Mode [Shipment Analysis by Value from 2018 to 2030]:

  • Cloud
  • On-Premises

AI in the Telecommunication Market by Technology [Shipment Analysis by Value from 2018 to 2030]:

  • Machine Learning
  • Natural Language Processing (NLP)
  • Data Analytics

AI in the Telecommunication Market by Application [Shipment Analysis by Value from 2018 to 2030]:

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

AI in the Telecommunication Market by Region [Shipment Analysis by Value from 2018 to 2030]:

  • North America
  • Europe
  • Asia Pacific
  • The Rest of the World

List of AI Companies in the Telecommunication Market

Companies in the market compete on the basis of product quality offered. Major players in this market focus on expanding their manufacturing facilities, R&D investments, infrastructural development, and leverage integration opportunities across the value chain. With these strategies AI companies in the telecommunication market caters increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the AI companies in the telecommunication market are profiled in this report include-

  • IBM
  • Microsoft
  • Intel
  • Google
  • AT&T
  • Cisco Systems
  • Nuance Communications
  • Sentient Technologies
  • H2O.ai
  • Infosys

AI in the Telecommunication Market Insights

Lucintel forecasts that service will remain the higher growing segment over the forecast period due to rising awareness among telecommunication enterprises regarding the benefits of the AI technology in the telecommunication industry, growing adoption of AI for various applications, as well as increasing utilization of AI-enabled smartphones.

Virtual assistance will remain the highest growing segment over the forecast period due to its ability to handle customer queries while offering personalized recommendations and perform tasks like bill payments or service activations.

North America is expected to witness highest growth over the forecast period due to increasing number of telecom companies using automation and AI for customer service and network optimization purposes in this region.

Features of the AI in the Global Telecommunication Market

Market Size Estimates: AI in the global telecommunication market size estimation in terms of value ($B).

Trend and Forecast Analysis: Market trends (2018 to 2023) and forecast (2024 to 2030) by various segments and regions.

Segmentation Analysis: AI in the global telecommunication market size by various segments, such as by component, deployment mode, technology, application, and region. in terms of value ($B).

Regional Analysis: AI in the global telecommunication market breakdown by North America, Europe, Asia Pacific, and Rest of the World.

Growth Opportunities: Analysis of growth opportunities in different component, deployment mode, technology, application, and region.s for the AI in the global telecommunication market .

Strategic Analysis: This includes M&A, new product development, and competitive landscape of the AI in the global telecommunication market .

Analysis of competitive intensity of the industry based on Porter's Five Forces model.

FAQ

Q.1. What is the AI in the global telecommunication market size?

Answer: The global AI in the global telecommunication market is expected to reach an estimated $10,373.6 million by 2030.

Q.2. What is the growth forecast for AI in the global telecommunication market ?

Answer: The global AI in the global telecommunication market is expected to grow with a cagr of 42.3% from 2024 to 2030.

Q.3. What are the major drivers influencing the growth of the AI in the global telecommunication market ?

Answer: The major drivers for this market are surge in demand for efficient network management, growing data traffic, and increasing demand for personalized customer experiences along with rising need for automation and predictive maintenance in telecom operations.

Q.4. What are the major segments for AI in the global telecommunication market ?

Answer: The future of the AI in the global telecommunication market looks promising with opportunities in the customer analytic, network security, network optimization, self-diagnostic, and virtual assistance markets.

Q.5. Who are the key AI companies in the telecommunication market?

Answer: Some of the key AI companies in the telecommunication are as follows:

  • IBM
  • Microsoft
  • Intel
  • Google
  • AT&T
  • Cisco Systems
  • Nuance Communications
  • Sentient Technologies
  • H2O.ai
  • Infosys

Q.6. Which AI in the telecommunication market segment will be the largest in future?

Answer: Lucintel forecasts that service will remain the higher growing segment over the forecast period due to rising awareness among telecommunication enterprises regarding the benefits of the AI technology in the telecommunication industry, growing adoption of AI for various applications, as well as increasing utilization of AI-enabled smartphones.

Q.7. In AI in the global telecommunication market , which region is expected to be the largest in next 5 years?

Answer: North America is expected to witness highest growth over the forecast period due to increasing number of telecom companies using automation and AI for customer service and network optimization purposes in this region.

Q.8. Do we receive customization in this report?

Answer: Yes, Lucintel provides 10% customization without any additional cost.

This report answers following 11 key questions:

  • Q.1. What are some of the most promising, high-growth opportunities for the AI in the telecommunication market by component (solutions and services), deployment mode (cloud and on-premises), technology (machine learning, natural language processing (NLP), and data analytics), application (customer analytics, network security, network optimization, self-diagnostics, virtual assistance, and others), and region. (North America, Europe, Asia Pacific, and the Rest of the World)?
  • Q.2. Which segments will grow at a faster pace and why?
  • Q.3. Which region will grow at a faster pace and why?
  • Q.4. What are the key factors affecting market dynamics? What are the key challenges and business risks in this market?
  • Q.5. What are the business risks and competitive threats in this market?
  • Q.6. What are the emerging trends in this market and the reasons behind them?
  • Q.7. What are some of the changing demands of customers in the market?
  • Q.8. What are the new developments in the market? Which companies are leading these developments?
  • Q.9. Who are the major players in this market? What strategic initiatives are key players pursuing for business growth?
  • Q.10. What are some of the competing products in this market and how big of a threat do they pose for loss of market share by material or product substitution?
  • Q.1. 1. What M&A activity has occurred in the last 5 years and what has its impact been on the industry?

Table of Contents

1. Executive Summary

2. AI in the Global Telecommunication Market : Market Dynamics

  • 2.1: Introduction, Background, and Classifications
  • 2.2: Supply Chain
  • 2.3: Industry Drivers and Challenges

3. Market Trends and Forecast Analysis from 2018 to 2030

  • 3.1. Macroeconomic Trends (2018-2023) and Forecast (2024-2030)
  • 3.2. AI in the Global Telecommunication Market Trends (2018-2023) and Forecast (2024-2030)
  • 3.3: AI in the Global Telecommunication Market by Component
    • 3.3.1: Solutions
    • 3.3.2: Services
  • 3.4: AI in the Global Telecommunication Market by Deployment Mode
    • 3.4.1: Cloud
    • 3.4.2: On-Premises
  • 3.5: AI in the Global Telecommunication Market by Technology
    • 3.5.1: Machine Learning
    • 3.5.2: Natural Language Processing (NLP)
    • 3.5.3: Data Analytics
  • 3.6: AI in the Global Telecommunication Market by Application
    • 3.6.1: Customer Analytics
    • 3.6.2: Network Security
    • 3.6.3: Network Optimization
    • 3.6.4: Self-Diagnostics
    • 3.6.5: Virtual Assistance
    • 3.6.6: Others

4. Market Trends and Forecast Analysis by Region from 2018 to 2030

  • 4.1: AI in the North American Telecommunication Market by Region
  • 4.2: AI in the North American Telecommunication Market
    • 4.2.1: AI in the North American Telecommunication Market by Component: Solutions and Services
    • 4.2.2: AI in the North American Telecommunication Market by Application: Customer Analytics, Network Security, Network Optimization, Self-Diagnostics, Virtual Assistance, and Others
  • 4.3: AI in the European Telecommunication Market
    • 4.3.1: AI in the European Telecommunication Market by Component: Solutions and Services
    • 4.3.2: AI in the European Telecommunication Market by Application: Customer Analytics, Network Security, Network Optimization, Self-Diagnostics, Virtual Assistance, and Others
  • 4.4: AI in the APAC Telecommunication Market
    • 4.4.1: AI in the APAC Telecommunication Market by Component: Solutions and Services
    • 4.4.2: AI in the APAC Telecommunication Market by Application: Customer Analytics, Network Security, Network Optimization, Self-Diagnostics, Virtual Assistance, and Others
  • 4.5: AI in the ROW Telecommunication Market
    • 4.5.1: AI in the ROW Telecommunication Market by Component: Solutions and Services
    • 4.5.2: AI in the ROW Telecommunication Market by Application: Customer Analytics, Network Security, Network Optimization, Self-Diagnostics, Virtual Assistance, and Others

5. Competitor Analysis

  • 5.1: Product Portfolio Analysis
  • 5.2: Operational Integration
  • 5.3: Porter's Five Forces Analysis

6. Growth Opportunities and Strategic Analysis

  • 6.1: Growth Opportunity Analysis
    • 6.1.1: Growth Opportunities for AI in the Global Telecommunication Market by Component
    • 6.1.2: Growth Opportunities for AI in the Global Telecommunication Market by Deployment Mode
    • 6.1.3: Growth Opportunities for AI in the Global Telecommunication Market by Technology
    • 6.1.4: Growth Opportunities for AI in the Global Telecommunication Market by Application
    • 6.1.5: Growth Opportunities for AI in the Global Telecommunication Market by Region
  • 6.2: Emerging Trends in the Global AI in the Global Telecommunication Market
  • 6.3: Strategic Analysis
    • 6.3.1: New Product Development
    • 6.3.2: Capacity Expansion of the Global AI in the Global Telecommunication Market
    • 6.3.3: Mergers, Acquisitions, and Joint Ventures in the Global AI in the Global Telecommunication Market
    • 6.3.4: Certification and Licensing

7. Company Profiles of Leading Players

  • 7.1: IBM
  • 7.2: Microsoft
  • 7.3: Intel
  • 7.4: Google
  • 7.5: AT&T
  • 7.6: Cisco Systems
  • 7.7: Nuance Communications
  • 7.8: Sentient Technologies
  • 7.9: H2O.AI
  • 7.10: Infosys