Global Information
회사소개 | 문의 | 위시리스트

통신 부문용 AI : 네트워크 운영 모니터링 및 관리, 고객 서비스 및 마케팅용 VDA, 지능형 CRM 시스템, 고객 경험 관리, 사이버 보안, 부정 경감

Artificial Intelligence for Telecommunications Applications: Network Operations Monitoring/Management, Customer Service/Marketing VDAs, Intelligent CRM Systems, CEM, Cybersecurity, Fraud Mitigation, Other - Global Market Analysis and Forecasts

리서치사 Tractica
발행일 2019년 09월 상품 코드 630464
페이지 정보 영문 55 Pages; 19 Tables, Charts & Figures
가격
US $ 4,500 ₩ 5,415,000 Basic License - PDF and Excel (1-5 Users)
US $ 6,750 ₩ 8,123,000 Enterprise License - PDF and Excel (Unlimited Users)


통신 부문용 AI : 네트워크 운영 모니터링 및 관리, 고객 서비스 및 마케팅용 VDA, 지능형 CRM 시스템, 고객 경험 관리, 사이버 보안, 부정 경감 Artificial Intelligence for Telecommunications Applications: Network Operations Monitoring/Management, Customer Service/Marketing VDAs, Intelligent CRM Systems, CEM, Cybersecurity, Fraud Mitigation, Other - Global Market Analysis and Forecasts
발행일 : 2019년 09월 페이지 정보 : 영문 55 Pages; 19 Tables, Charts & Figures

통신 부문용 AI 시장에 대해 조사했으며, 시장 및 기술의 정의와 개요, 시장 성장 촉진요인 및 과제, 통신 부문의 각종 이용 사례, 기술 동향, 주요 진출 기업 개요, 각종 하드웨어·소프트웨어·서비스 매출 추정과 예측, 결론, 각종 제안 등의 정보를 전해드립니다.

제1장 주요 요약

제2장 시장 분석

  • 서론
  • 시장 성장 촉진요인
  • 시장 장벽

제3장 이용 사례

  • 서론
  • 네트워크 운영 모니터링 및 관리
    • Apstra
    • EnterpriseWeb
    • Aria Networks
    • Huawei
    • Juniper Networks
    • Nokia
  • 예지 보전
  • 부정 경감
  • 사이버 보안
    • Darktrace
  • 고객 서비스 및 마케팅용 가상 디지털 비서
    • 시장 성장 촉진요인
    • Creative Virtual
    • Nuance
  • 지능형 CRM 시스템
    • Automation Anywhere
    • CallidusCloud(SAP)
    • Conversica
  • 고객 경험 관리의 개선
    • DeviceBits
    • Guavus(Thales)
    • Sandvine

제4장 기술 분석

  • 서론
  • AI의 정의
  • 기계학습
  • 딥러닝
  • 기계학습과 딥러닝의 차이
  • 구조화 데이터 vs. 비구조화 데이터
  • 지도 학습 vs. 비지도 학습
  • 자연 언어 처리
  • 자연 언어 생성
  • 하드웨어 인프라
    • 하드웨어에 관한 이해 : 칩셋, 파워, 퍼포먼스
    • 서버 환경
    • 클라우드 인프라
    • 빅데이터 AI 용도 : 기술 과제

제5장 주요 기업

  • 서론
  • Amdocs
  • Apstra
  • Aria Networks
  • AT&T
  • Automation Anywhere
  • CallidusCloud
  • Conversica
  • Creative Virtual
  • Darktrace
  • DeviceBits
  • EnterpriseWeb
  • Ericsson
  • Guavus
  • Huawei
  • Juniper Networks
  • Nokia
  • Nuance
  • Sandvine

제6장 시장 예측

  • 예측 방법
  • 통신 부문용 AI 소프트웨어 매출
    • 이용 사례별
    • 지역별
    • 총매출 : 부문별
  • 통신 부문용 AI 서비스 매출
    • 도입 서비스
    • 트레이닝 서비스
    • 맞춤화 서비스
    • 애플리케이션 통합 서비스
    • 지원 및 보수 서비스
    • 클라우드 서비스
  • 통신 부문용 AI 관련 하드웨어 매출
    • GPU
    • CPU, ASIC, FPGA
    • 네트워크 제품
    • 스토리지 디바이스
  • 결론과 제안

제7장 기업 디렉토리

제8장 용어 및 약어

제9장 목차

제10장 도표

제11장 조사 범위, 정보 출처, 조사 방법, 주석

KSM 18.05.09

이 페이지에 게재되어 있는 내용은 최신판과 약간 차이가 있을 수 있으므로 영문목차를 함께 참조하여 주시기 바랍니다. 기타 자세한 사항은 문의 바랍니다.

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

Table of Contents

1. Executive Summary

  • 1.1. Introduction
  • 1.2. Market Drivers
  • 1.3. Market Barriers
  • 1.4. Use Cases
  • 1.5. Market Forecast Highlights
  • 1.6. Conclusions and Recommendations

2. Market Issues

  • 2.1. Introduction
  • 2.2. Market Drivers
    • 2.2.1. Top-Line Revenue Growth
    • 2.2.2. World-Class Customer Experience and Service Delivery
    • 2.2.3. Bottom-Line Cost Savings
    • 2.2.4. Complexity of Service Offerings
    • 2.2.5. 5G Networks
  • 2.3. Market Barriers
    • 2.3.1. ROI
    • 2.3.2. Cross-Departmental Harmonization
    • 2.3.3. Challenging Abstraction Layers for Telecom Data
    • 2.3.4. Slow Rollout of Software-Defined Networks and Network Functions Virtualization
    • 2.3.5. Digital Transformation

3. Use Cases

  • 3.1. Introduction
  • 3.2. Network Operations Monitoring and Management
    • 3.2.1. Network Management and AI
  • 3.3. Predictive Maintenance
  • 3.4. Fraud Mitigation
  • 3.5. Cybersecurity
  • 3.6. Customer Service and Marketing VDAs
    • 3.6.1. VDA Market Drivers
    • 3.6.2. Telecom Leadership in VDAs
  • 3.7. Intelligent CRM Systems
  • 3.8. CEM/Service Delivery
  • 3.9. Video Compression

4. Technology Issues

  • 4.1. Introduction
  • 4.2. Definition of AI
  • 4.3. Machine Learning
  • 4.4. Deep Learning
  • 4.5. Natural Language Processing
    • 4.5.1. Importance of Machine and Deep Learning to NLP
    • 4.5.2. Natural Language Generation
  • 4.6. Hardware Infrastructure
    • 4.6.1. Hardware Considerations: Chipsets, Power, and Performance
    • 4.6.2. Big Data AI Applications: Technology Challenges
      • 4.6.2.1. Volume of Big Data
      • 4.6.2.2. High Variety of Data
      • 4.6.2.3. Data Velocity

5. Key Industry Players

  • 5.1. Introduction
  • 5.2. Amdocs
  • 5.3. Aria Networks
  • 5.4. CenturyLink
  • 5.5. Cisco
  • 5.6. DeviceBits
  • 5.7. Ericsson
  • 5.8. Guavus
  • 5.9. Huawei
  • 5.10. Juniper Networks
  • 5.11. Nokia
  • 5.12. Sandvine
  • 5.13. Telefónica
  • 5.14. Vodafone
  • 5.15. ZTE
  • 5.16. Additional Industry Participants

6. Market Forecasts

  • 6.1. Forecast Methodology
  • 6.2. Telecom AI Software Revenue
  • 6.3. Telecom AI Software Revenue by Use Case
  • 6.4. Telecom AI Software Revenue by Region
  • 6.5. Telecom AI Software Revenue by Meta Category
  • 6.6. Telecom AI Total Revenue by Segment
  • 6.7. Conclusions and 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

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

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
Back to Top
전화 문의
F A Q