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市場調査レポート

通信部門向けビッグデータ&機械学習の世界市場の分析・予測:2019-2025年

Global Big Data & Machine Learning in Telecom Market Size, Status and Forecast 2019-2025

発行 QYResearch 商品コード 788387
出版日 ページ情報 英文 100 Pages
納期: 2-3営業日
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通信部門向けビッグデータ&機械学習の世界市場の分析・予測:2019-2025年 Global Big Data & Machine Learning in Telecom Market Size, Status and Forecast 2019-2025
出版日: 2019年02月14日 ページ情報: 英文 100 Pages
概要

当レポートでは、世界の通信部門向けビッグデータ&機械学習の市場を調査し、市場の定義と概要、タイプ・用途・地域別の動向と市場規模の推移と予測、市場成長への各種影響因子および市場機会の分析、競合環境、主要製造業者のプロファイルなどをまとめています。

第1章 レポート概要

  • 調査範囲
  • 市場区分
  • 調査対象製造業者
  • 市場:タイプ別
    • 記述的分析
    • 予測分析
    • 機械学習
    • 特徴エンジニアリング
  • 市場:用途別
    • 市場シェア
    • 処理
    • 保存
    • 解析
  • 調査目的
  • 調査対象年

第2章 エグゼクティブサマリー

  • 市場規模
  • 成長動向:地域別
  • 産業動向

第3章 主要企業

  • 主要製造業者の収益
  • 主要企業の本部・営業エリア
  • 主要企業の提供製品・ソリューション・サービス
  • 主要企業の市場参入日
  • 主要企業の資金投入・投資分析
  • 主要企業の評価・時価総額
  • M&A・拡張計画

第4章 市場規模の推移・予測:タイプ・用途別

第5章 米国市場の推移・予測

  • 市場規模の推移・予測
  • 主要企業
  • 市場規模:タイプ別
  • 市場規模:用途別

第6章 欧州市場の推移・予測

  • 市場規模の推移・予測
  • 主要企業
  • 市場規模:タイプ別
  • 市場規模:用途別

第7章 中国市場の推移・予測

  • 市場規模の推移・予測
  • 主要企業
  • 市場規模:タイプ別
  • 市場規模:用途別

第8章 その他の地域市場の推移・予測

  • 日本
  • 東南アジア
  • インド

第9章 主要企業のプロファイル

  • Allot
  • Argyle data
  • Ericsson
  • Guavus
  • HUAWEI
  • Intel
  • NOKIA
  • Openwave mobility
  • Procera networks
  • Qualcomm
  • ZTE
  • Google
  • AT&T
  • Apple
  • Amazon
  • Microsoft

第10章 市場力学

  • 成長推進因子
  • 市場機会
  • 課題
  • エコシステム
  • バリューチェーン分析

第11章 調査結果

第12章 付録

図表

List of Tables and Figures

  • Table Big Data & Machine Learning in Telecom Key Market Segments
  • Table Key Players Big Data & Machine Learning in Telecom Covered
  • Table Global Big Data & Machine Learning in Telecom Market Size Growth Rate by Type 2019-2025 (Million US$)
  • Figure Global Big Data & Machine Learning in Telecom Market Size Market Share by Type 2019-2025
  • Figure Descriptive analytics Figures
  • Table Key Players of Descriptive analytics
  • Figure Predictive analytics Figures
  • Table Key Players of Predictive analytics
  • Figure Machine learning Figures
  • Table Key Players of Machine learning
  • Figure Feature engineering Figures
  • Table Key Players of Feature engineering
  • Table Global Big Data & Machine Learning in Telecom Market Size Growth by Application 2019-2025 (Million US$)
  • Figure Processing Case Studies
  • Figure Storage Case Studies
  • Figure Analyzing Case Studies
  • Figure Big Data & Machine Learning in Telecom Report Years Considered
  • Table Global Big Data & Machine Learning in Telecom Market Size 2018-2025 (Million US$)
  • Figure Global Big Data & Machine Learning in Telecom Market Size and Growth Rate 2018-2025 (Million US$)
  • Table Global Big Data & Machine Learning in Telecom Market Size by Regions 2019-2025 (Million US$)
  • Table Global Big Data & Machine Learning in Telecom Market Size by Regions 2018-2025 (Million US$)
  • Table Global Big Data & Machine Learning in Telecom Market Share by Regions 2014-2019
  • Figure Global Big Data & Machine Learning in Telecom Market Share by Regions 2018-2025
  • Figure Global Big Data & Machine Learning in Telecom Market Share by Regions 2019-2025
  • Table Market Top Trends
  • Table Global Big Data & Machine Learning in Telecom Revenue by Manufacturers (2018-2019) (Million US$)
  • Table Global Big Data & Machine Learning in Telecom Market Share by Manufacturers (2018-2019)
  • Figure Global Big Data & Machine Learning in Telecom Market Share by Manufacturers in 2019
  • Table Global Key Players Big Data & Machine Learning in Telecom Funding/Investment Analysis (Million US$)
  • Table Global Key Players Big Data & Machine Learning in Telecom Valuation & Market Capitalization (Million US$)
  • Table Mergers & Acquisitions, Expansion Plans
  • Table Global Big Data & Machine Learning in Telecom Market Size by Type (2018-2025) (Million US$)
  • Table Global Big Data & Machine Learning in Telecom Market Share by Type (2018-2025)
  • Figure Global Big Data & Machine Learning in Telecom Market Size Share by Type (2018-2025)
  • Table Global Big Data & Machine Learning in Telecom Market Size by Application (2018-2025) (Million US$)
  • Table Global Big Data & Machine Learning in Telecom Market Size Share by Application (2018-2025)
  • Figure Global Big Data & Machine Learning in Telecom Market Size Market Share by Application (2018-2025)
  • Figure Global Big Data & Machine Learning in Telecom Revenue Market Share by Application in 2018
  • Figure United States Big Data & Machine Learning in Telecom Market Size 2018-2025 (Million US$)
  • Table United States Key Players Big Data & Machine Learning in Telecom Revenue (2018-2019) (Million US$)
  • Table United States Key Players Big Data & Machine Learning in Telecom Market Share (2018-2019)
  • Table United States Big Data & Machine Learning in Telecom Market Size by Type (2018-2025) (Million US$)
  • Table United States Big Data & Machine Learning in Telecom Market Share by Type (2018-2025)
  • Table United States Big Data & Machine Learning in Telecom Market Size by Application (2018-2025) (Million US$)
  • Table United States Big Data & Machine Learning in Telecom Market Share by Application (2018-2025)
  • Figure Europe Big Data & Machine Learning in Telecom Market Size 2018-2025 (Million US$)
  • Table Europe Key Players Big Data & Machine Learning in Telecom Revenue (2018-2019) (Million US$)
  • Table Europe Key Players Big Data & Machine Learning in Telecom Market Share (2018-2019)
  • Table Europe Big Data & Machine Learning in Telecom Market Size by Type (2018-2025) (Million US$)
  • Table Europe Big Data & Machine Learning in Telecom Market Share by Type (2018-2025)
  • Table Europe Big Data & Machine Learning in Telecom Market Size by Application (2018-2025) (Million US$)
  • Table Europe Big Data & Machine Learning in Telecom Market Share by Application (2018-2025)
  • Figure China Big Data & Machine Learning in Telecom Market Size 2018-2025 (Million US$)
  • Table China Key Players Big Data & Machine Learning in Telecom Revenue (2018-2019) (Million US$)
  • Table China Key Players Big Data & Machine Learning in Telecom Market Share (2018-2019)
  • Table China Big Data & Machine Learning in Telecom Market Size by Type (2018-2025) (Million US$)
  • Table China Big Data & Machine Learning in Telecom Market Share by Type (2018-2025)
  • Table China Big Data & Machine Learning in Telecom Market Size by Application (2018-2025) (Million US$)
  • Table China Big Data & Machine Learning in Telecom Market Share by Application (2018-2025)
  • Figure Market Size in Japan Big Data & Machine Learning in Telecom 2018-2025 (Million US$)
  • Figure Market Size in Southeast Asia Big Data & Machine Learning in Telecom 2018-2025 (Million US$)
  • Figure Market Size in India Big Data & Machine Learning in Telecom 2018-2025 (Million US$)
  • Table Allot Company Details
  • Table Allot Revenue in Big Data & Machine Learning in Telecom Business in 2018 and 2019
  • Table Allot Recent Development
  • Table Argyle data Company Details
  • Table Argyle data Revenue in Big Data & Machine Learning in Telecom Business in 2018 and 2019
  • Table Argyle data Recent Development
  • Table Ericsson Company Details
  • Table Ericsson Revenue in Big Data & Machine Learning in Telecom Business in 2018 and 2019
  • Table Ericsson Recent Development
  • Table Guavus Company Details
  • Table Guavus Revenue in Big Data & Machine Learning in Telecom Business in 2018 and 2019
  • Table Guavus Recent Development
  • Table HUAWEI Company Details
  • Table HUAWEI Revenue in Big Data & Machine Learning in Telecom Business in 2018 and 2019
  • Table HUAWEI Recent Development
  • Table Intel Company Details
  • Table Intel Revenue in Big Data & Machine Learning in Telecom Business in 2018 and 2019
  • Table Intel Recent Development
  • Table NOKIA Company Details
  • Table NOKIA Revenue in Big Data & Machine Learning in Telecom Business in 2018 and 2019
  • Table NOKIA Recent Development
  • Table Openwave mobility Company Details
  • Table Openwave mobility Revenue in Big Data & Machine Learning in Telecom Business in 2018 and 2019
  • Table Openwave mobility Recent Development
  • Table Procera networks Company Details
  • Table Procera networks Revenue in Big Data & Machine Learning in Telecom Business in 2018 and 2019
  • Table Procera networks Recent Development
  • Table Qualcomm Company Details
  • Table Qualcomm Revenue in Big Data & Machine Learning in Telecom Business in 2018 and 2019
  • Table Qualcomm Recent Development
  • Table ZTE Company Details
  • Table Google Company Details
  • Table AT&T Company Details
  • Table Apple Company Details
  • Table Amazon Company Details
  • Table Microsoft Company Details
  • Table Research Programs/Design for This Report
  • Figure Bottom-up and Top-down Approaches for This Report
  • Figure Data Triangulation
  • Table Key Data Information from Secondary Sources
  • Table Key Data Information from Primary Sources
目次

Telecom big data spending includes distributed storage and computing Hadoop (and Spark) clusters, HDFS file systems, SQL and NoSQL software database frameworks, and other operational software. Telecom analytics software, such as for revenue assurance, business intelligence, strategic marketing, and network performance, are considered separately. The evolution from non-machine learning based descriptive analytics to machine learning driven predictive analytics is also considered. Telecom data meets the fundamental 3Vs criteria of big data: velocity, variety, and volume, and should be supported with a big data infrastructure (processing, storage, and analytics) for both real-time and offline analysis.

In 2018, the global Big Data & Machine Learning in Telecom market size was xx million US$ and it is expected to reach xx million US$ by the end of 2025, with a CAGR of xx% during 2019-2025.

This report focuses on the global Big Data & Machine Learning in Telecom status, future forecast, growth opportunity, key market and key players. The study objectives are to present the Big Data & Machine Learning in Telecom development in United States, Europe and China.

The key players covered in this study:

  • Allot
  • Argyle data
  • Ericsson
  • Guavus
  • HUAWEI
  • Intel
  • NOKIA
  • Openwave mobility
  • Procera networks
  • Qualcomm
  • ZTE
  • Google
  • AT&T
  • Apple
  • Amazon
  • Microsoft

Market analysis by product type:

  • Descriptive analytics
  • Predictive analytics
  • Machine learning
  • Feature engineering

Market analysis by market:

  • Processing
  • Storage
  • Analyzing

Market analysis by Region:

  • United States
  • Europe
  • China
  • Japan
  • Southeast Asia
  • India
  • Central & South America

The study objectives of this report are:

  • To analyze global Big Data & Machine Learning in Telecom status, future forecast, growth opportunity, key market and key players.
  • To present the Big Data & Machine Learning in Telecom development in United States, Europe and China.
  • To strategically profile the key players and comprehensively analyze their development plan and strategies.
  • To define, describe and forecast the market by product type, market and key regions.

In this study, the years considered to estimate the market size of Big Data & Machine Learning in Telecom are as follows:

  • History Year: 2018-2019
  • Base Year: 2018
  • Estimated Year: 2019
  • Forecast Year 2019 to 2025

For the data information by region, company, type and application, 2018 is considered as the base year. Whenever data information was unavailable for the base year, the prior year has been considered.

Table of Contents

1 Report Overview

  • 1.1 Study Scope
  • 1.2 Key Market Segments
  • 1.3 Players Covered
  • 1.4 Market Analysis by Type
    • 1.4.2 Descriptive analytics
    • 1.4.3 Predictive analytics
    • 1.4.4 Machine learning
    • 1.4.5 Feature engineering
  • 1.5 Market by Application
    • 1.5.1 Global Big Data & Machine Learning in Telecom Market Share by Application (2018-2025)
    • 1.5.2 Processing
    • 1.5.3 Storage
    • 1.5.4 Analyzing
  • 1.6 Study Objectives
  • 1.7 Years Considered

2 Executive Summary

  • 2.1 Big Data & Machine Learning in Telecom Market Size
  • 2.2 Big Data & Machine Learning in Telecom Growth Trends by Regions
    • 2.2.1 Big Data & Machine Learning in Telecom Market Size by Regions (2018-2025)
    • 2.2.2 Big Data & Machine Learning in Telecom Market Share by Regions (2018-2025)
  • 2.3 Industry Trends
    • 2.3.1 Market Top Trends
    • 2.3.2 Market Use Cases

3 Key Players

  • 3.1 Big Data & Machine Learning in Telecom Revenue by Manufacturers (2018-2019)
  • 3.2 Big Data & Machine Learning in Telecom Key Players Head office and Area Served
  • 3.3 Key Players Big Data & Machine Learning in Telecom Product/Solution/Service
  • 3.4 Date of Enter into Big Data & Machine Learning in Telecom Market
  • 3.5 Key Players Big Data & Machine Learning in Telecom Funding/Investment Analysis
  • 3.6 Global Key Players Big Data & Machine Learning in Telecom Valuation & Market Capitalization
  • 3.7 Mergers & Acquisitions, Expansion Plans

4 Breakdown Data by Type and Application

  • 4.1 Global Big Data & Machine Learning in Telecom Market Size by Type (2018-2025)
  • 4.2 Global Big Data & Machine Learning in Telecom Market Size by Application (2017-2025)

5 United States

  • 5.1 United States Big Data & Machine Learning in Telecom Market Size (2018-2025)
  • 5.2 Big Data & Machine Learning in Telecom Key Players in United States
  • 5.3 United States Big Data & Machine Learning in Telecom Market Size by Type
  • 5.4 United States Big Data & Machine Learning in Telecom Market Size by Application

6 Europe

  • 6.1 Europe Big Data & Machine Learning in Telecom Market Size (2018-2025)
  • 6.2 Big Data & Machine Learning in Telecom Key Players in Europe
  • 6.3 Europe Big Data & Machine Learning in Telecom Market Size by Type
  • 6.4 Europe Big Data & Machine Learning in Telecom Market Size by Application

7 China

  • 7.1 China Big Data & Machine Learning in Telecom Market Size (2018-2025)
  • 7.2 Big Data & Machine Learning in Telecom Key Players in China
  • 7.3 China Big Data & Machine Learning in Telecom Market Size by Type
  • 7.4 China Big Data & Machine Learning in Telecom Market Size by Application

8 Rest of World

  • 8.1 Japan
    • 8.1.1 Japan Big Data & Machine Learning in Telecom Market Analysis
    • 8.1.2 Key Players in
  • 8.2 Southeast Asia
    • 8.2.1 Southeast Asia Big Data & Machine Learning in Telecom Market Analysis
    • 8.2.2 Key Players in Southeast Asia
  • 8.3 India
    • 8.3.1 India Big Data & Machine Learning in Telecom Market Analysis
    • 8.3.2 Key Players in India

9 International Players Profiles

  • 9.1 Allot
    • 9.1.1 Allot Company Details
    • 9.1.2 Company Description and Business Overview
    • 9.1.3 Big Data & Machine Learning in Telecom Introduction
    • 9.1.4 Allot Revenue in Big Data & Machine Learning in Telecom Business (2018-2019)
    • 9.1.5 Allot Recent Development
  • 9.2 Argyle data
    • 9.2.1 Argyle data Company Details
    • 9.2.2 Company Description and Business Overview
    • 9.2.3 Big Data & Machine Learning in Telecom Introduction
    • 9.2.4 Argyle data Revenue in Big Data & Machine Learning in Telecom Business (2018-2019)
    • 9.2.5 Argyle data Recent Development
  • 9.3 Ericsson
    • 9.3.1 Ericsson Company Details
    • 9.3.2 Company Description and Business Overview
    • 9.3.3 Big Data & Machine Learning in Telecom Introduction
    • 9.3.4 Ericsson Revenue in Big Data & Machine Learning in Telecom Business (2018-2019)
    • 9.3.5 Ericsson Recent Development
  • 9.4 Guavus
    • 9.4.1 Guavus Company Details
    • 9.4.2 Company Description and Business Overview
    • 9.4.3 Big Data & Machine Learning in Telecom Introduction
    • 9.4.4 Guavus Revenue in Big Data & Machine Learning in Telecom Business (2018-2019)
    • 9.4.5 Guavus Recent Development
  • 9.5 HUAWEI
    • 9.5.1 HUAWEI Company Details
    • 9.5.2 Company Description and Business Overview
    • 9.5.3 Big Data & Machine Learning in Telecom Introduction
    • 9.5.4 HUAWEI Revenue in Big Data & Machine Learning in Telecom Business (2017-2018)
    • 9.5.5 HUAWEI Recent Development
  • 9.6 Intel
    • 9.6.1 Intel Company Details
    • 9.6.2 Company Description and Business Overview
    • 9.6.3 Big Data & Machine Learning in Telecom Introduction
    • 9.6.4 Intel Revenue in Big Data & Machine Learning in Telecom Business (2017-2018)
    • 9.6.5 Intel Recent Development
  • 9.7 NOKIA
    • 9.7.1 NOKIA Company Details
    • 9.7.2 Company Description and Business Overview
    • 9.7.3 Big Data & Machine Learning in Telecom Introduction
    • 9.7.4 NOKIA Revenue in Big Data & Machine Learning in Telecom Business (2018-2019)
    • 9.7.5 NOKIA Recent Development
  • 9.8 Openwave mobility
    • 9.8.1 Openwave mobility Company Details
    • 9.8.2 Company Description and Business Overview
    • 9.8.3 Big Data & Machine Learning in Telecom Introduction
    • 9.8.4 Openwave mobility Revenue in Big Data & Machine Learning in Telecom Business (2018-2019)
    • 9.8.5 Openwave mobility Recent Development
  • 9.9 Procera networks
    • 9.9.1 Procera networks Company Details
    • 9.9.2 Company Description and Business Overview
    • 9.9.3 Big Data & Machine Learning in Telecom Introduction
    • 9.9.4 Procera networks Revenue in Big Data & Machine Learning in Telecom Business (2018-2019)
    • 9.9.5 Procera networks Recent Development
  • 9.10 Qualcomm
    • 9.10.1 Qualcomm Company Details
    • 9.10.2 Company Description and Business Overview
    • 9.10.3 Big Data & Machine Learning in Telecom Introduction
    • 9.10.4 Qualcomm Revenue in Big Data & Machine Learning in Telecom Business (2018-2019)
    • 9.10.5 Qualcomm Recent Development
  • 9.11 ZTE
  • 9.12 Google
  • 9.13 AT&T
  • 9.14 Apple
  • 9.15 Amazon
  • 9.16 Microsoft

10 Market Dynamics

  • 10.1 Drivers
  • 10.2 Opportunities
  • 10.3 Challenges
  • 10.4 Market Ecosystem
  • 10.5 Market Value Chain Analysis

11 Key Findings in This Report

12 Appendix

  • 12.1 Research Methodology
    • 12.1.1 Methodology/Research Approach
      • 12.1.1.1 Research Programs/Design
      • 12.1.1.2 Market Size Estimation
      • 12.1.1.3 Market Breakdown and Data Triangulation
    • 12.1.2 Data Source
      • 12.1.2.1 Secondary Sources
      • 12.1.2.2 Primary Sources
  • 12.2 Disclaimer
  • 12.3 Author Details
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