Report Detail

Service & Software Global Machine Learning in Communication Market Size, Status and Forecast 2019-2025

  • RnM3333172
  • |
  • 21 April, 2019
  • |
  • Global
  • |
  • 91 Pages
  • |
  • QYResearch
  • |
  • Service & Software

The field of communications is traditionally built on precise mathematical models that are well understood and have been shown to work exceptionally well for many practical applications. Unfortunately, communication systems designers have been forced to push the boundaries to such an extent that in many applications conventional mathematical models and signal processing techniques are no longer sufficient to accurately describe the encountered complex scenarios. Specifically, there is an increasing number of cases where rigorous mathematical models are either not known or are entirely impractical from a computational perspective. Machine learning methods can come to the rescue as they do not require rigid pre-defined models and can extract meaningful structure from large amounts of data to provide useful results.
In 2018, the global Machine Learning in Communication 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 Machine Learning in Communication status, future forecast, growth opportunity, key market and key players. The study objectives are to present the Machine Learning in Communication development in United States, Europe and China.

The key players covered in this study
Amazon
IBM
Microsoft
Google
Nextiva
Nexmo
Twilio
Dialpad
Cisco
RingCentral

Market segment by Type, the product can be split into
Cloud-Based
On-Premise

Market segment by Application, split into
Network Optimization
Predictive Maintenance
Virtual Assistants
Robotic Process Automation (RPA)

Market segment by Regions/Countries, this report covers
United States
Europe
China
Japan
Southeast Asia
India
Central & South America

The study objectives of this report are:
To analyze global Machine Learning in Communication status, future forecast, growth opportunity, key market and key players.
To present the Machine Learning in Communication 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 Machine Learning in Communication are as follows:
History Year: 2014-2018
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
      • 1.4.1 Global Machine Learning in Communication Market Size Growth Rate by Type (2014-2025)
      • 1.4.2 Cloud-Based
      • 1.4.3 On-Premise
    • 1.5 Market by Application
      • 1.5.1 Global Machine Learning in Communication Market Share by Application (2014-2025)
      • 1.5.2 Network Optimization
      • 1.5.3 Predictive Maintenance
      • 1.5.4 Virtual Assistants
      • 1.5.5 Robotic Process Automation (RPA)
    • 1.6 Study Objectives
    • 1.7 Years Considered

    2 Global Growth Trends

    • 2.1 Machine Learning in Communication Market Size
    • 2.2 Machine Learning in Communication Growth Trends by Regions
      • 2.2.1 Machine Learning in Communication Market Size by Regions (2014-2025)
      • 2.2.2 Machine Learning in Communication Market Share by Regions (2014-2019)
    • 2.3 Industry Trends
      • 2.3.1 Market Top Trends
      • 2.3.2 Market Drivers
      • 2.3.3 Market Opportunities

    3 Market Share by Key Players

    • 3.1 Machine Learning in Communication Market Size by Manufacturers
      • 3.1.1 Global Machine Learning in Communication Revenue by Manufacturers (2014-2019)
      • 3.1.2 Global Machine Learning in Communication Revenue Market Share by Manufacturers (2014-2019)
      • 3.1.3 Global Machine Learning in Communication Market Concentration Ratio (CR5 and HHI)
    • 3.2 Machine Learning in Communication Key Players Head office and Area Served
    • 3.3 Key Players Machine Learning in Communication Product/Solution/Service
    • 3.4 Date of Enter into Machine Learning in Communication Market
    • 3.5 Mergers & Acquisitions, Expansion Plans

    4 Breakdown Data by Type and Application

    • 4.1 Global Machine Learning in Communication Market Size by Type (2014-2019)
    • 4.2 Global Machine Learning in Communication Market Size by Application (2014-2019)

    5 United States

    • 5.1 United States Machine Learning in Communication Market Size (2014-2019)
    • 5.2 Machine Learning in Communication Key Players in United States
    • 5.3 United States Machine Learning in Communication Market Size by Type
    • 5.4 United States Machine Learning in Communication Market Size by Application

    6 Europe

    • 6.1 Europe Machine Learning in Communication Market Size (2014-2019)
    • 6.2 Machine Learning in Communication Key Players in Europe
    • 6.3 Europe Machine Learning in Communication Market Size by Type
    • 6.4 Europe Machine Learning in Communication Market Size by Application

    7 China

    • 7.1 China Machine Learning in Communication Market Size (2014-2019)
    • 7.2 Machine Learning in Communication Key Players in China
    • 7.3 China Machine Learning in Communication Market Size by Type
    • 7.4 China Machine Learning in Communication Market Size by Application

    8 Japan

    • 8.1 Japan Machine Learning in Communication Market Size (2014-2019)
    • 8.2 Machine Learning in Communication Key Players in Japan
    • 8.3 Japan Machine Learning in Communication Market Size by Type
    • 8.4 Japan Machine Learning in Communication Market Size by Application

    9 Southeast Asia

    • 9.1 Southeast Asia Machine Learning in Communication Market Size (2014-2019)
    • 9.2 Machine Learning in Communication Key Players in Southeast Asia
    • 9.3 Southeast Asia Machine Learning in Communication Market Size by Type
    • 9.4 Southeast Asia Machine Learning in Communication Market Size by Application

    10 India

    • 10.1 India Machine Learning in Communication Market Size (2014-2019)
    • 10.2 Machine Learning in Communication Key Players in India
    • 10.3 India Machine Learning in Communication Market Size by Type
    • 10.4 India Machine Learning in Communication Market Size by Application

    11 Central & South America

    • 11.1 Central & South America Machine Learning in Communication Market Size (2014-2019)
    • 11.2 Machine Learning in Communication Key Players in Central & South America
    • 11.3 Central & South America Machine Learning in Communication Market Size by Type
    • 11.4 Central & South America Machine Learning in Communication Market Size by Application

    12 International Players Profiles

    • 12.1 Amazon
      • 12.1.1 Amazon Company Details
      • 12.1.2 Company Description and Business Overview
      • 12.1.3 Machine Learning in Communication Introduction
      • 12.1.4 Amazon Revenue in Machine Learning in Communication Business (2014-2019)
      • 12.1.5 Amazon Recent Development
    • 12.2 IBM
      • 12.2.1 IBM Company Details
      • 12.2.2 Company Description and Business Overview
      • 12.2.3 Machine Learning in Communication Introduction
      • 12.2.4 IBM Revenue in Machine Learning in Communication Business (2014-2019)
      • 12.2.5 IBM Recent Development
    • 12.3 Microsoft
      • 12.3.1 Microsoft Company Details
      • 12.3.2 Company Description and Business Overview
      • 12.3.3 Machine Learning in Communication Introduction
      • 12.3.4 Microsoft Revenue in Machine Learning in Communication Business (2014-2019)
      • 12.3.5 Microsoft Recent Development
    • 12.4 Google
      • 12.4.1 Google Company Details
      • 12.4.2 Company Description and Business Overview
      • 12.4.3 Machine Learning in Communication Introduction
      • 12.4.4 Google Revenue in Machine Learning in Communication Business (2014-2019)
      • 12.4.5 Google Recent Development
    • 12.5 Nextiva
      • 12.5.1 Nextiva Company Details
      • 12.5.2 Company Description and Business Overview
      • 12.5.3 Machine Learning in Communication Introduction
      • 12.5.4 Nextiva Revenue in Machine Learning in Communication Business (2014-2019)
      • 12.5.5 Nextiva Recent Development
    • 12.6 Nexmo
      • 12.6.1 Nexmo Company Details
      • 12.6.2 Company Description and Business Overview
      • 12.6.3 Machine Learning in Communication Introduction
      • 12.6.4 Nexmo Revenue in Machine Learning in Communication Business (2014-2019)
      • 12.6.5 Nexmo Recent Development
    • 12.7 Twilio
      • 12.7.1 Twilio Company Details
      • 12.7.2 Company Description and Business Overview
      • 12.7.3 Machine Learning in Communication Introduction
      • 12.7.4 Twilio Revenue in Machine Learning in Communication Business (2014-2019)
      • 12.7.5 Twilio Recent Development
    • 12.8 Dialpad
      • 12.8.1 Dialpad Company Details
      • 12.8.2 Company Description and Business Overview
      • 12.8.3 Machine Learning in Communication Introduction
      • 12.8.4 Dialpad Revenue in Machine Learning in Communication Business (2014-2019)
      • 12.8.5 Dialpad Recent Development
    • 12.9 Cisco
      • 12.9.1 Cisco Company Details
      • 12.9.2 Company Description and Business Overview
      • 12.9.3 Machine Learning in Communication Introduction
      • 12.9.4 Cisco Revenue in Machine Learning in Communication Business (2014-2019)
      • 12.9.5 Cisco Recent Development
    • 12.10 RingCentral
      • 12.10.1 RingCentral Company Details
      • 12.10.2 Company Description and Business Overview
      • 12.10.3 Machine Learning in Communication Introduction
      • 12.10.4 RingCentral Revenue in Machine Learning in Communication Business (2014-2019)
      • 12.10.5 RingCentral Recent Development

    13 Market Forecast 2019-2025

    • 13.1 Market Size Forecast by Regions
    • 13.2 United States
    • 13.3 Europe
    • 13.4 China
    • 13.5 Japan
    • 13.6 Southeast Asia
    • 13.7 India
    • 13.8 Central & South America
    • 13.9 Market Size Forecast by Product (2019-2025)
    • 13.10 Market Size Forecast by Application (2019-2025)

    14 Analyst's Viewpoints/Conclusions

      15 Appendix

      • 15.1 Research Methodology
        • 15.1.1 Methodology/Research Approach
          • 15.1.1.1 Research Programs/Design
          • 15.1.1.2 Market Size Estimation
          • 12.1.1.3 Market Breakdown and Data Triangulation
        • 15.1.2 Data Source
          • 15.1.2.1 Secondary Sources
          • 15.1.2.2 Primary Sources
      • 15.2 Disclaimer

      Summary:
      Get latest Market Research Reports on Machine Learning in Communication. Industry analysis & Market Report on Machine Learning in Communication is a syndicated market report, published as Global Machine Learning in Communication Market Size, Status and Forecast 2019-2025. It is complete Research Study and Industry Analysis of Machine Learning in Communication market, to understand, Market Demand, Growth, trends analysis and Factor Influencing market.

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