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通信におけるAIの市場規模、シェア、動向分析レポート：用途別、地域別、セグメント予測、2023年～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: | 発行: Grand View Research | ページ情報: 英文 100 Pages | 納期: 2～10営業日

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通信におけるAIの市場規模、シェア、動向分析レポート：用途別、地域別、セグメント予測、2023年～2030年
出版日: 2023年11月02日
発行: Grand View Research
ページ情報: 英文 100 Pages
納期: 2～10営業日
  • 全表示
  • 概要
  • 図表
  • 目次
概要

通信におけるAI市場の成長と動向：

Grand View Research, Incの最新レポートによると、世界の通信におけるAI市場規模は2030年までに112億9,000万米ドルに達する見込みです。

同市場は2023年から2030年にかけて28.2％のCAGRを記録すると予測されています。

通信サービスプロバイダ（CSP）は、ネットワーク機能仮想化（NFV）やソフトウェア定義広域ネットワーキング（SD-WAN）などの新しい技術パラダイムの展開に起因する通信ネットワークの複雑化に対処するため、システムの最適化、計画、運用にインテリジェンスを導入する必要があります。そのため、通信業界はネットワーク効率と顧客体験を向上させるため、AIの探求と導入を進めています。

通信業界はクラウドコンピューティング、ビッグデータ分析、ディープラーニングなどの技術を活用し、マルチメディアサービスやネットワークセキュリティに対する消費者の要求を満たしています。また、サービス・アウェア・ネットワーク・システムやディープ・パケット・インスペクションの技術の発明により、通信ネットワークの知的化が可能になった。業界の研究者たちは、ネットワーク・アーキテクチャと管理を最適化し、より自律的な運用を可能にするために、人工知能ベースの技術を活用しています。

さらに、次世代ワイヤレス・ネットワークは、多様化するサービス要件や、デバイス、システム・アーキテクチャ、アプリケーションの異種性により、より複雑なシステム・アーキテクチャに進化すると予想されています。人工知能は、ネットワーク技術の複雑化に伴い、電気通信業界で再び注目を集めています。通信ネットワークにおけるAIベースの使用事例としては、ネットワーク運用監視・管理、不正行為の軽減、予知保全、サイバーセキュリティ、マーケティングや顧客サービスのためのバーチャルアシスタントなどが考えられます。しかし、いくつかの通信サービスプロバイダーが通信の自動化と俊敏性のニーズに対応するためにAIアプローチを採用しているため、通信業界ではネットワーク運用監視・管理が依然としてトップの使用事例となっています。

通信におけるAI市場レポートのハイライト

  • 顧客サービスのために導入されたチャットボットが事業収益を十分に促進しているため、顧客体験の向上は市場の成長を促進する主な要因の1つです。
  • 通信領域では、仮想化の課題に対処するための機械学習アプローチが登場し始めています。
  • AIがサポートするネットワーク中心のアプリケーションには、メンテナンスやプロビジョニングのための異常検知、パフォーマンス監視、アラート抑制、トラブルチケットの自動解決、ネットワーク障害予測、ネットワーク容量計画や混雑予測などが含まれます。
  • アジア太平洋地域は、予測期間中最も速いCAGR 32.9%で成長する見込みです。この成長は、中国やインドなどの新興国における急速な技術進歩に起因しています。

目次

第1章 調査手法と範囲

第2章 エグゼクティブサマリー

第3章 通信におけるAI市場の変数、動向、範囲

  • 市場系統の見通し
  • 業界のバリューチェーン分析
  • 市場力学
    • 市場促進要因分析
    • 市場抑制要因分析
    • 市場機会分析
  • 通信市場分析ツールにおける人工知能
    • 業界分析- ポーターのファイブフォース分析
    • PESTEL分析

第4章 通信におけるAI市場：用途の推定・動向分析

  • 通信におけるAI市場：重要なポイント
  • 通信におけるAI市場：動向と市場シェア分析、2022年および2030年
  • ネットワークセキュリティー
  • ネットワークの最適化
  • 顧客分析
  • 仮想アシスタンス
  • 自己診断
  • その他

第5章 通信におけるAI市場：地域の推定・動向分析

  • 地域別の見通し
  • 地域別の通信におけるAI市場：重要なポイント
  • 北米
    • 市場推計・予測、2017年から2030年まで
    • 米国
    • カナダ
  • 欧州
    • 英国
    • ドイツ
    • フランス
  • アジア太平洋地域
    • 日本
    • 中国
    • インド
    • オーストラリア
    • 韓国
  • ラテンアメリカ
    • ブラジル
    • メキシコ
  • 中東・アフリカ
    • サウジアラビア
    • 南アフリカ
    • アラブ首長国連邦

第6章 競合情勢

  • 主要市場参入企業による最近の動向と影響分析
  • 市場参入企業の分類
    • 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
図表

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
目次
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