世界各国のリアルタイムなデータ・インテリジェンスで皆様をお手伝い

通信用途向け人工知能:ネットワークオペレーションモニタリング&管理、カスタマーサービス&マーケティングVDA、インテリジェントCMR(顧客関係管理)システム、カスタマーエクスペリエンス管理、サイバー犯罪、不正緩和、その他の使用事例:世界の市場分析と予測

Artificial Intelligence for Telecommunications Applications

Network Operations Monitoring & Management, Customer Service & Marketing VDAs, Intelligent CRM Systems, Customer Experience Management, Cybersecurity, Fraud Mitigation, and Other Use Cases: Global Market Analysis and Forecasts

 

出版社 出版年月電子版価格 ページ数図表数
Omdia | Tractica
オムディア|トラクティカ
2019年9月US$4,500
1-5ユーザライセンス
55 19

サマリー

このレポートは通信AIの市場と使用事例に関連する技術課題を分析しています。機械学習、深層学習(ディープラーニング)、自然言語処理などの技術をカバーしています。産業エコシステムの主要企業のプロフィールや、2025年までの世界の通信AI向けソフトウェアの市場予測を地域別、使用事例別、メタカテゴリ別に掲載しています。

主な掲載内容  ※目次より抜粋

  1. エグゼクティブサマリー
  2. 市場課題
    1. 市場促進要因
    2. 市場阻害要因
  3. 使用事例
    1. ネットワークオペレーションモニタリングと管理
    2. 予測管理
    3. 不正緩和
    4. サイバーセキュリティ
    5. カスタマーサービスとマーケティングのバーチャルデジタルアシスタンス
  4. 技術課題
    1. 機械学習(マシンラーニング)
    2. 深層学習(ディープラーニング)
    3. 自然言語処理
    4. ハードウェアインフラストラクチャ
  5. 産業の主要企業14社
  6. 市場予測
    1. 通信AIソフトウェア収益:使用事例毎、地域毎、メタカテゴリ毎、セグメント毎
    2. 通信AIサービス収益:サービスタイプ毎
    3. 通信AIハードウェア収益:ハードウェアタイプ毎

Report Details

Telecommunications service providers face a handful of daunting market conditions. Around the globe, revenue and subscriber growth are flat. To combat profit erosion, most communications service providers (CSPs) are struggling through a process to become digital service providers more akin to web companies that offer rapidly evolving and highly customized services.

5G/Internet of Things (IoT) and digital transformation are initiatives that CSPs hope will drive top-line growth. While they pursue these, CSPs are under equal pressure to find ways to become more efficient and cut costs as a means to increase profitability. This is an industry ripe for artificial intelligence (AI)-driven solutions. Telecom operators have begun to experiment and deploy AI-driven solutions that leverage fast, scalable interpretation, analytics, and prediction to provide top-line revenue or reduce costs. According to Tractica’s analysis, telecom AI software revenue is expected to grow from $419.0 million in 2018 to more than $11.2 billion in 2025.

This Tractica report details the major market drivers and barriers, technologies, key players, and forecasts related to eight telecom AI use cases. These include network operations monitoring and management; predictive maintenance; fraud mitigation; cybersecurity; customer service and marketing virtual digital assistants (VDAs); intelligent customer relationship management (CRM) systems; customer experience management (CEM)/service delivery; and video compression. The technologies covered include machine learning (ML), deep learning (DL), and natural language processing (NLP). Global software market forecasts for telecom AI, segmented by region, use case, and meta category, extend through 2025.

Key Questions Addressed:

  • What is the current state of the market for telecom AI and how will it develop over the next decade?
  • What use cases will drive greater telecom AI adoption around the globe?
  • What are the key drivers of market growth and the major challenges faced by telecom AI in each world region?
  • Which companies are the major players in the market, what is their competitive positioning, and which are poised for the greatest success in the years ahead?
  • What is the size of the global telecom AI market opportunity?

Who Needs This Report?

  • Telecom network operators
  • Telecom hardware and software providers
  • AI hardware and software companies
  • Network operations solutions providers
  • Customer experience-focused solutions providers
  • Cybersecurity and fraud management solutions providers
  • Government agencies
  • Investor community


目次

Table of Contents

  1. Executive Summary
    1. Introduction
    2. Market Drivers
    3. Market Barriers
    4. Use Cases
    5. Market Forecast Highlights
    6. Conclusions and Recommendations
  2. Market Issues
    1. Introduction
    2. Market Drivers
      1. Top-Line Revenue Growth
      2. World-Class Customer Experience and Service Delivery
      3. Bottom-Line Cost Savings
      4. Complexity of Service Offerings
      5. 5G Networks
    3. Market Barriers
      1. ROI
      2. Cross-Departmental Harmonization
      3. Challenging Abstraction Layers for Telecom Data
      4. Slow Rollout of Software-Defined Networks and Network Functions Virtualization
      5. Digital Transformation
  3. Use Cases
    1. Introduction
    2. Network Operations Monitoring and Management
      1. Network Management and AI
    3. Predictive Maintenance
    4. Fraud Mitigation
    5. Cybersecurity
    6. Customer Service and Marketing VDAs
      1. VDA Market Drivers
      2. Telecom Leadership in VDAs
    7. Intelligent CRM Systems
    8. CEM/Service Delivery
    9. Video Compression
  4. Technology Issues
    1. Introduction
    2. Definition of AI
    3. Machine Learning
    4. Deep Learning
    5. Natural Language Processing
      1. Importance of Machine and Deep Learning to NLP
      2. Natural Language Generation
    6. Hardware Infrastructure
      1. Hardware Considerations: Chipsets, Power, and Performance
      2. Big Data AI Applications: Technology Challenges
        1. Volume of Big Data
        2. High Variety of Data
  5. Key Industry Players
    1. Introduction
    2. Amdocs
    3. Aria Networks
    4. CenturyLink
    5. Cisco
    6. DeviceBits
    7. Ericsson
    8. Guavus
    9. Huawei
    10. Juniper Networks
    11. Nokia
    12. Sandvine
    13. Telefónica
    14. Vodafone
    15. ZTE
    16. Additional Industry Participants
  6. Market Forecasts
    1. Forecast Methodology
    2. Telecom AI Software Revenue
    3. Telecom AI Software Revenue by Use Case
    4. Telecom AI Software Revenue by Region
    5. Telecom AI Software Revenue by Meta Category
    6. Telecom AI Total Revenue by Segment
    7. Conclusions & Recommendations
  7. Company Directory
  8. Acronym and Abbreviation List
  9. Table of Contents
  10. Table of Charts and Figures
  11. Scope of Study, Sources and Methodology, Notes

 

List of Charts, Figures, and Tables

Charts
  • Telecom AI Software Revenue Share by Use Case, World Markets: 2025
  • Telecom AI Software Revenue by Region, World Markets: 2018-2025
  • Telecom AI Total Revenue by Segment, World Markets: 2018-2025
  • Telecom AI Software Revenue by Use Case, World Markets: 2018-2025
  • Telecom AI Software Revenue by Meta Category, World Markets: 2018-2025
  • Telecom AI Total Revenue by Segment, World Markets: 2018-2025
Figures
  • CSP Revenue Forecast
  • AI Encompasses Numerous Technologies
  • Schematic Representation of a Deep Neural Network
  • Progression of Natural Language Generation
Tables
  • Telecom AI Software Revenue by Region, World Markets: 2018-2025
  • Telecom AI Total Revenue by Segment, World Markets: 2018-2025
  • Telecom AI Hardware Revenue by Region, World Markets: 2018-2025
  • Telecom AI Services Revenue by Region, World Markets: 2018-2025
  • Telecom AI Total Software, Services, and Hardware Revenue by Region, World Markets: 2018-2025
  • Telecom AI Software Revenue by Use Case, World Markets: 2018-2025
  • Telecom AI Software Revenue by Meta Category, World Markets: 2018-2025
  • Telecom AI Software Revenue by Meta Category Use Case, World Markets: 2018-2025
  • Additional Industry Participants

 

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