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市場調查報告書
商品編碼
1404573

人工智慧在通訊市場規模、佔有率、趨勢分析報告：按應用、地區、細分市場預測，2023-2030 年

AI In Telecommunication Market Size, Share & Trends Analysis Report By Application (Network Security, Network Optimization, Customer Analytics, Virtual Assistance, Self-Diagnostics), By Region, And Segment Forecasts, 2023 - 2030
出版日期: | 出版商: Grand View Research | 英文 100 Pages | 商品交期: 2-10個工作天內

價格

人工智慧市場成長與通訊趨勢：

Grand View Research, Inc. 的最新報告顯示，到 2030 年，全球人工智慧通訊市場規模預計將達到 112.9 億美元。

預計2023年至2030年市場複合年成長率為28.2%。

通訊服務供應商(虛擬) 越來越關注通訊最佳化，我們需要為我們的規劃和營運帶來智慧。因此，通訊業正在探索和實施人工智慧，以提高網路效率和客戶體驗。

通訊業正在利用雲端運算、巨量資料分析和深度學習等技術來滿足消費者對多媒體服務和網路安全的需求。此外，服務感知網路系統和深度封包檢測技術的發明使得通訊網路智慧化成為可能。產業研究人員正在利用基於人工智慧的技術來最佳化網路架構和管理，並實現更自主的操作。

此外，由於服務需求的多樣化以及設備、系統架構和應用的異質性，下一代無線網路預計將演進為更複雜的系統架構。隨著網路技術變得更加複雜，人工智慧再次在電訊業受到關注。通訊網路中基於人工智慧的潛在使用案例包括網路營運監控和管理、減少詐欺、預測性維護、網路安全以及用於行銷和客戶服務的虛擬助理。然而，網路營運監控和管理仍然是通訊業的首要使用案例，因為一些通訊服務供應商採用人工智慧方法來滿足通訊自動化和敏捷性的需求。

通訊市場人工智慧報告亮點

  • 改善客戶體驗是推動市場成長的主要因素之一，因為為客戶服務引入的聊天機器人正在很好地推動業務收益。
  • 在通訊領域，機器學習方法開始出現以應對虛擬挑戰。
  • 人工智慧支援的以網路為中心的應用程式包括用於維護和配置的異常偵測、效能監控、警報抑制、自動故障單解決、網路故障預測以及網路容量規劃和擁塞預測。
  • 預計亞太地區在預測期內將以 32.9% 的複合年成長率成長最快。這一成長得益於中國和印度等新興國家的快速技術進步。

目錄

第1章調查方法和範圍

第 2 章執行摘要

第3章 人工智慧市場變數、趨勢和通訊領域範圍

  • 市場體系展望
  • 產業價值鏈分析
  • 市場動態
    • 市場促進因素分析
    • 市場抑制因素分析
    • 市場機會分析
  • 通訊市場分析工具中的人工智慧
    • 產業分析-波特五力分析
    • PESTEL分析

第 4 章通訊領域的人工智慧市場：使用估算和趨勢分析

  • 通訊領域的人工智慧市場：重點
  • 通訊人工智慧市場：2022 年和 2030 年趨勢和市場佔有率分析
  • 網路安全
  • 網路最佳化
  • 客戶分析
  • 虛擬援助
  • 自診斷
  • 其他

第5章通訊領域人工智慧市場：區域估算與趨勢分析

  • 區域展望
  • 按地區分類的通訊人工智慧市場：重點
  • 北美洲
    • 2017年至2030年市場預測
    • 美國
    • 加拿大
  • 歐洲
    • 英國
    • 德國
    • 法國
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 韓國
  • 拉丁美洲
    • 巴西
    • 墨西哥
  • 中東/非洲
    • 沙烏地阿拉伯
    • 南非
    • 阿拉伯聯合大公國

第6章競爭形勢

  • 主要市場參與企業的最新趨勢和影響分析
  • 市場參與企業分類
    • IBM Corporation
    • Microsoft
    • Intel Corporation
    • Google LLC
    • AT&T Intellectual Property
    • Cisco Systems, Inc.
    • Nuance Communications, Inc.
    • Evolv Technologies Holdings Inc.
    • H2O.ai.
    • Infosys Limited
    • Salesforce, Inc.
    • NVIDIA Corporation
Product Code: GVR-4-68038-247-1

AI In Telecommunication Market Growth & Trends:

The global AI in telecommunication market size is expected to reach USD 11.29 billion by 2030, according to a new report by Grand View Research, Inc. The market is anticipated to register a CAGR of 28.2% from 2023 to 2030.

Communication Service Providers (CSPs) need to bring the intelligence in their system optimization, planning, and operations to address the increasing complexities in communication networks caused due to the deployment of new technology paradigms, such as Network Function Virtualization (NFV) and Software-Defined Wide-Area Networking (SD-WAN). Therefore, the telecommunications industry is exploring and introducing AI to improve network efficiency and customer experience.

The telecommunication industry has leveraged technologies, such as cloud computing, big data analytics, and deep learning, to fulfill consumer demands of multimedia services and network security. Also, the intellectualization of communication networks has become possible with the invention of technologies of service-aware network systems and deep packet inspection. Researchers in the industry are tapping into artificial intelligence-based techniques to optimize network architecture & management, and to enable more autonomous operations.

Furthermore, the next-generation wireless networks are anticipated to evolve into more complex system architectures due to the diversified service requirements and heterogeneity in devices, system architectures, and applications. Artificial intelligence has renewed interest in the telecom industry due to the rising complexity of network technology. Potential AI-based use-cases in communication networks include network operation monitoring & management, fraud mitigation, predictive maintenance, cybersecurity, and virtual assistants for marketing and customer service. However, network operation monitoring & management remains the top use-case in the telecom industry as several communications service providers have adopted AI approaches to address the need for communication automation and agility.

AI In Telecommunication Market Report Highlights:

  • Improving customer experience is one of the major factors driving the growth of the market since chatbots deployed for customer service have fueled the business earnings adequately
  • Machine learning approaches are beginning to emerge in the telecommunication domain to address the challenges of virtualization
  • AI-supported network-centric applications include anomaly detection for maintenance and provisioning, performance monitoring, alert suppression, automated resolution of a trouble ticket, network faults prediction, and network capacity planning or congestion prediction
  • Asia Pacific is expected to grow at the fastest CAGR of 32.9% during the forecast period. This growth is attributed to the rapid technological advancements in emerging economies, such as China and India.

Table of Contents

Chapter 1. Methodology and Scope

  • 1.1. Market Segmentation & Scope
    • 1.1.1. Application
    • 1.1.2. Regional scope
    • 1.1.3. Estimates and forecast timeline
  • 1.2. Research Methodology
  • 1.3. Information Procurement
    • 1.3.1. Purchased database
    • 1.3.2. GVR's internal database
    • 1.3.3. Secondary sources
    • 1.3.4. Primary research
    • 1.3.5. Details of primary research
  • 1.4. Information or Data Analysis
  • 1.5. Market Formulation & Validation
  • 1.6. Model Details
  • 1.7. List of Secondary Sources
  • 1.8. List of Primary Sources
  • 1.9. Objectives

Chapter 2. Executive Summary

  • 2.1. Market Outlook
  • 2.2. Segment Outlook
    • 2.2.1. Application outlook
    • 2.2.2. Regional outlook
  • 2.3. Competitive Insights

Chapter 3. Artificial Intelligence in Telecommunication Market Variables, Trends & Scope

  • 3.1. Market Lineage Outlook
  • 3.2. Industry Value Chain Analysis
  • 3.3. Market Dynamics
    • 3.3.1. Market driver analysis
    • 3.3.2. Market restraint analysis
    • 3.3.3. Market opportunity analysis
  • 3.4. Artificial Intelligence in Telecommunication Market Analysis Tools
    • 3.4.1. Industry analysis - Porter's
      • 3.4.1.1. Supplier power
      • 3.4.1.2. Buyer power
      • 3.4.1.3. Substitution threat
      • 3.4.1.4. Threat of new entrant
      • 3.4.1.5. Competitive rivalry
    • 3.4.2. PESTEL analysis
      • 3.4.2.1. Political landscape
      • 3.4.2.2. Technological landscape
      • 3.4.2.3. Economic landscape

Chapter 4. Artificial Intelligence in Telecommunication Market: Application Estimates & Trend Analysis

  • 4.1. Artificial Intelligence in Telecommunication Market: Key Takeaways
  • 4.2. Artificial Intelligence in Telecommunication Market: Movement & Market Share Analysis, 2022 & 2030
  • 4.3. Network Security
    • 4.3.1. Network security market estimates and forecasts, 2017 to 2030 (USD Million)
  • 4.4. Network optimization
    • 4.4.1. Network optimization market estimates and forecasts, 2017 to 2030 (USD Million)
  • 4.5. Customer Analytics
    • 4.5.1. Customer analytics market estimates and forecasts, 2017 to 2030 (USD Million)
  • 4.6. Virtual Assistance
    • 4.6.1. Virtual assistance therapy market estimates and forecasts, 2017 to 2030 (USD Million)
  • 4.7. Self-Diagnostics
    • 4.7.1. Self-Diagnostics market estimates and forecasts, 2017 to 2030 (USD Million)
  • 4.8. Others
    • 4.8.1. Others market estimates and forecasts, 2017 to 2030 (USD Million)

Chapter 5. Artificial Intelligence in Telecommunication Market: Regional Estimates & Trend Analysis

  • 5.1. Regional Outlook
  • 5.2. Artificial Intelligence in Telecommunication Market by Region: Key Takeaway
  • 5.3. North America
    • 5.3.1. Market estimates and forecasts, 2017 to 2030 (Revenue, USD Million)
    • 5.3.2. U.S.
      • 5.3.2.1. Market estimates and forecasts, 2017 to 2030 (Revenue, USD Million)
    • 5.3.3. Canada
      • 5.3.3.1. Market estimates and forecasts, 2017 to 2030 (Revenue, USD Million)
  • 5.4. Europe
    • 5.4.1. UK
      • 5.4.1.1. Market estimates and forecasts, 2017 to 2030 (Revenue, USD Million)
    • 5.4.2. Germany
      • 5.4.2.1. Market estimates and forecasts, 2017 to 2030 (Revenue, USD Million)
    • 5.4.3. France
      • 5.4.3.1. Market estimates and forecasts, 2017 to 2030 (Revenue, USD Million)
  • 5.5. Asia Pacific
    • 5.5.1. Japan
      • 5.5.1.1. Market estimates and forecasts, 2017 to 2030 (Revenue, USD Million)
    • 5.5.2. China
      • 5.5.2.1. Market estimates and forecasts, 2017 to 2030 (Revenue, USD Million)
    • 5.5.3. India
      • 5.5.3.1. Market estimates and forecasts, 2017 to 2030 (Revenue, USD Million)
    • 5.5.4. Australia
      • 5.5.4.1. Market estimates and forecasts, 2017 to 2030 (Revenue, USD Million)
    • 5.5.5. South Korea
      • 5.5.5.1. Market estimates and forecasts, 2017 to 2030 (Revenue, USD Million)
  • 5.6. Latin America
    • 5.6.1. Brazil
      • 5.6.1.1. Market estimates and forecasts, 2017 to 2030 (Revenue, USD Million)
    • 5.6.2. Mexico
      • 5.6.2.1. Market estimates and forecasts, 2017 to 2030 (Revenue, USD Million)
  • 5.7. MEA
    • 5.7.1. Saudi Arabia
      • 5.7.1.1. Market estimates and forecasts, 2017 to 2030 (Revenue, USD Million)
    • 5.7.2. South Africa
      • 5.7.2.1. Market estimates and forecasts, 2017 to 2030 (Revenue, USD Million)
    • 5.7.3. UAE
      • 5.7.3.1. Market estimates and forecasts, 2017 to 2030 (Revenue, USD Million)

Chapter 6. Competitive Landscape

  • 6.1. Recent Developments & Impact Analysis, By Key Market Participants
  • 6.2. Market Participant Categorization
    • 6.2.1. IBM Corporation
      • 6.2.1.1. Company overview
      • 6.2.1.2. Financial performance
      • 6.2.1.3. Product benchmarking
      • 6.2.1.4. Strategic initiatives
    • 6.2.2. Microsoft
      • 6.2.2.1. Company overview
      • 6.2.2.2. Financial performance
      • 6.2.2.3. Product benchmarking
      • 6.2.2.4. Strategic initiatives
    • 6.2.3. Intel Corporation
      • 6.2.3.1. Company overview
      • 6.2.3.2. Financial performance
      • 6.2.3.3. Product benchmarking
      • 6.2.3.4. Strategic initiatives
    • 6.2.4. Google LLC
      • 6.2.4.1. Company overview
      • 6.2.4.2. Financial performance
      • 6.2.4.3. Product benchmarking
      • 6.2.4.4. Strategic initiatives
    • 6.2.5. AT&T Intellectual Property
      • 6.2.5.1. Company overview
      • 6.2.5.2. Financial performance
      • 6.2.5.3. Product benchmarking
      • 6.2.5.4. Strategic initiatives
    • 6.2.6. Cisco Systems, Inc.
      • 6.2.6.1. Company overview
      • 6.2.6.2. Financial performance
      • 6.2.6.3. Product benchmarking
      • 6.2.6.4. Strategic initiatives
    • 6.2.7. Nuance Communications, Inc.
      • 6.2.7.1. Company overview
      • 6.2.7.2. Financial performance
      • 6.2.7.3. Product benchmarking
      • 6.2.7.4. Strategic initiatives
    • 6.2.8. Evolv Technologies Holdings Inc.
      • 6.2.8.1. Company overview
      • 6.2.8.2. Financial performance
      • 6.2.8.3. Product benchmarking
      • 6.2.8.4. Strategic initiatives
    • 6.2.9. H2O.ai.
      • 6.2.9.1. Company overview
      • 6.2.9.2. Financial performance
      • 6.2.9.3. Product benchmarking
      • 6.2.9.4. Strategic initiatives
    • 6.2.10. Infosys Limited
      • 6.2.10.1. Company overview
      • 6.2.10.2. Financial performance
      • 6.2.10.3. Product benchmarking
      • 6.2.10.4. Strategic initiatives
    • 6.2.11. Salesforce, Inc.
      • 6.2.11.1. Company overview
      • 6.2.11.2. Financial performance
      • 6.2.11.3. Product benchmarking
      • 6.2.11.4. Strategic initiatives
    • 6.2.12. NVIDIA Corporation
      • 6.2.12.1. Company overview
      • 6.2.12.2. Financial performance
      • 6.2.12.3. Product benchmarking
      • 6.2.12.4. Strategic initiatives

List of Tables

  • Table 1 List of abbreviation
  • Table 2 North America artificial intelligence in telecommunication market, by application, 2017 - 2030 (USD Million)
  • Table 3 North America artificial intelligence in telecommunication market, by region, 2017 to 2030 (USD Million)
  • Table 4 U.S. artificial intelligence in telecommunication market, by application, 2017 - 2030 (USD Million)
  • Table 5 Canada artificial intelligence in telecommunication market, by application, 2017 - 2030 (USD Million)
  • Table 6 Europe artificial intelligence in telecommunication market, by application, 2017 - 2030 (USD Million)
  • Table 7 Europe artificial intelligence in telecommunication market, by region, 2017 to 2030 (USD Million)
  • Table 8 Germany artificial intelligence in telecommunication market, by application, 2017 - 2030 (USD Million)
  • Table 9 UK artificial intelligence in telecommunication market, by application, 2017 - 2030 (USD Million)
  • Table 10 France artificial intelligence in telecommunication market, by application, 2017 - 2030 (USD Million)
  • Table 11 Asia Pacific artificial intelligence in telecommunication market, by application, 2017 - 2030 (USD Million)
  • Table 12 Asia Pacific artificial intelligence in telecommunication market, by region, 2017 to 2030 (USD Million)
  • Table 13 China artificial intelligence in telecommunication market, by application, 2017 - 2030 (USD Million)
  • Table 14 Japan artificial intelligence in telecommunication market, by application, 2017 - 2030 (USD Million)
  • Table 15 India artificial intelligence in telecommunication market, by application, 2017 - 2030 (USD Million)
  • Table 16 Australia artificial intelligence in telecommunication market, by application, 2017 - 2030 (USD Million)
  • Table 17 South Korea artificial intelligence in telecommunication market, by application, 2017 - 2030 (USD Million)
  • Table 18 Latin America artificial intelligence in telecommunication market, by application, 2017 - 2030 (USD Million)
  • Table 19 Latin America artificial intelligence in telecommunication market, by region, 2017 to 2030 (USD Million)
  • Table 20 Brazil artificial intelligence in telecommunication market, by application, 2017 - 2030 (USD Million)
  • Table 21 Mexico artificial intelligence in telecommunication market, by application, 2017 - 2030 (USD Million)
  • Table 22 Middle East and Africa artificial intelligence in telecommunication market, by application, 2017 - 2030 (USD Million)
  • Table 23 Middle East and Africa artificial intelligence in telecommunication market, by region, 2017 to 2030 (USD Million)
  • Table 24 South Africa artificial intelligence in telecommunication market, by application, 2017 - 2030 (USD Million)
  • Table 25 Saudi Arabia artificial intelligence in telecommunication market, by application, 2017 - 2030 (USD Million)
  • Table 26 UAE artificial intelligence in telecommunication market, by application, 2017 - 2030 (USD Million)

List of Figures

  • Fig. 1 Market research process
  • Fig. 2 Data triangulation techniques
  • Fig. 3 Primary research pattern
  • Fig. 4 Market research approaches
  • Fig. 5 Value-chain-based sizing & forecasting
  • Fig. 6 QFD modeling for market share assessment
  • Fig. 7 Market formulation & validation
  • Fig. 8 Artificial intelligence in telecommunication: Market outlook
  • Fig. 9 Artificial intelligence in telecommunication: Competitive insights
  • Fig. 10 Parent market outlook
  • Fig. 11 Related/ancillary market outlook
  • Fig. 12 Penetration and growth prospect mapping
  • Fig. 13 Industry value chain analysis
  • Fig. 14 Artificial intelligence in telecommunication market driver impact
  • Fig. 15 Artificial intelligence in telecommunication market restraint impact
  • Fig. 16 Artificial intelligence in telecommunication market strategic initiatives analysis
  • Fig. 17 Artificial intelligence in telecommunication market: Application movement analysis
  • Fig. 18 Artificial intelligence in telecommunication market: Application outlook and key takeaways
  • Fig. 19 Network security market estimates and forecasts, 2017 - 2030
  • Fig. 20 Network optimization market estimates and forecasts, 2017 - 2030
  • Fig. 21 Customer analytics market estimates and forecasts, 2017 - 2030
  • Fig. 22 Virtual assistance market estimates and forecasts, 2017 - 2030
  • Fig. 23 Self-Diagnostics market estimates and forecasts, 2017 - 2030
  • Fig. 24 Others market estimates and forecasts, 2017 - 2030
  • Fig. 25 Global artificial intelligence in telecommunication market: Regional movement analysis
  • Fig. 26 Global artificial intelligence in telecommunication market: Regional outlook and key takeaways
  • Fig. 27 North America market estimates and forecasts, 2017 - 2030
  • Fig. 28 U.S. market estimates and forecasts, 2017 - 2030
  • Fig. 29 Canada market estimates and forecasts, 2017 - 2030
  • Fig. 30 Europe market estimates and forecasts, 2017 - 2030
  • Fig. 31 UK market estimates and forecasts, 2017 - 2030
  • Fig. 32 Germany market estimates and forecasts, 2017 - 2030
  • Fig. 33 France market estimates and forecasts, 2017 - 2030
  • Fig. 34 Asia Pacific market estimates and forecasts, 2017 - 2030
  • Fig. 35 Japan market estimates and forecasts, 2017 - 2030
  • Fig. 36 China market estimates and forecasts, 2017 - 2030
  • Fig. 37 India market estimates and forecasts, 2017 - 2030
  • Fig. 38 Australia market estimates and forecasts, 2017 - 2030
  • Fig. 39 South Korea market estimates and forecasts, 2017 - 2030
  • Fig. 40 Latin America market estimates and forecasts, 2017 - 2030
  • Fig. 41 Brazil market estimates and forecasts, 2017 - 2030
  • Fig. 42 Mexico market estimates and forecasts, 2017 - 2030
  • Fig. 43 Middle East and Africa market estimates and forecasts, 2017 - 2030
  • Fig. 44 Saudi Arabia market estimates and forecasts, 2017 - 2030
  • Fig. 45 South Africa market estimates and forecasts, 2017 - 2030
  • Fig. 46 UAE market estimates and forecasts, 2017 - 2030