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市場調查報告書
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1356609

通訊市場人工智慧報告：2030 年趨勢、預測與競爭分析

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個工作天內

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簡介目錄

通訊的人工智慧趨勢與預測

人工智慧在全球通訊市場的前景廣闊，在客戶分析、網路安全、網路最佳化、自我診斷、虛擬協助市場等領域都有商機。預計到 2030 年，全球通訊人工智慧市場規模將達到 103.736 億美元，2024 年至 2030 年年複合成長率為 42.3%。促進因素、資料流量的增加、對個人化客戶體驗的需求不斷成長，以及通訊業務對自動化和預測性維護的需求不斷成長。

通訊市場的人工智慧洞察

Lucintel 預測，由於通訊公司對人工智慧技術在通訊業的好處的認知不斷提高，人工智慧在各種應用中的採用不斷增加，以及人工智慧支援的使用不斷增加，服務在預測期內將繼續成為高成長領域。智慧型手機，我就是。

虛擬協助在預測期內也將實現最高成長率，因為它能夠回應客戶聯絡方式，同時提出個人化提案並執行申請帳單和啟動服務等任務。它很可能將繼續成為一個細分市場。

隨著越來越多的通訊業者利用自動化和人工智慧進行客戶服務和網路最佳化，預計北美地區將在預測期內實現最高成長。

本報告回答了 11 個關鍵問題：

  • Q.1. 細分市場中最有前途和高成長的機會是什麼？
  • Q.2.哪個細分市場將以更快的速度成長？為什麼？
  • Q.3.您認為哪些地區未來會出現更快的成長？為什麼？
  • Q.4. 影響市場動態的主要要素有哪些？市場的主要挑戰和商業風險是什麼？
  • Q.5. 這個市場的商業風險和競爭威脅是什麼？
  • Q.6.這個市場有哪些新趨勢？為什麼？
  • Q.7.市場客戶需求有何改變？
  • Q.8. 該市場有哪些新發展以及哪些公司處於領先地位？
  • Q.9.這個市場的主要企業有哪些？主要企業採取哪些策略配合措施來發展業務？
  • Q.10. 該市場上的競爭產品有哪些，由於材料或產品替代導致市場佔有率下降的威脅有多大？
  • Q.1.1.過去年度發生了哪些類型的併購，對產業產生了哪些影響？

目錄

第1章 執行摘要

第2章 全球通訊市場中的人工智慧：市場動態

  • 簡介、背景、分類
  • 供應鏈
  • 產業促進因素與挑戰

第3章 2018-2030年市場趨勢及預測分析

  • 宏觀經濟趨勢（2018-2023）與預測（2024-2030）
  • 全球通訊市場人工智慧趨勢（2018-2023）及預測（2024-2030）
  • 按全球通訊市場人工智慧的組成部分
    • 解決方案
    • 服務
  • 全球通訊市場人工智慧部署模式
    • 雲
    • 本地
  • 全球通訊市場的AI技術
    • 機器學習
    • 自然語言處理（NLP）
    • 資料分析
  • 人工智慧在全球通訊市場的應用
    • 客戶分析
    • 網路安全
    • 網路最佳化
    • 自診斷
    • 虛擬協助
    • 其他

第4章 2018-2030年分地區市場趨勢及預測分析

  • 北美通訊市場人工智慧（按地區）
  • 北美通訊市場的人工智慧
  • 歐洲通訊市場的人工智慧
  • 亞太通訊市場的人工智慧
  • 其他區域通訊市場中的人工智慧

第5章 競爭分析

  • 產品系列分析
  • 營運整合
  • 波特五力分析

第6章 成長機會與策略分析

  • 成長機會分析
    • 全球通訊市場的人工智慧成長機會（按組成部分）
    • 全球通訊市場人工智慧成長機會（按部署模式）
    • 人工智慧在全球通訊市場的技術成長機會
    • 全球通訊市場的人工智慧成長機會（按應用）
    • 按地區分類的全球通訊市場人工智慧成長機會
  • 全球通訊市場AI新趨勢
  • 戰略分析
    • 新產品開發
    • 擴大全球通訊市場的全球人工智慧能力
    • 全球通訊市場中全球人工智慧的合併、收購與合資
    • 認證和許可

第7章 主要企業概況

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

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