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Global Machine Learning in Communication Market Report, History and Forecast 2014-2025, Breakdown Data by Companies, Key Regions, Types and Application

Published Date: 2019-04-17   |   Pages: 97   |   Tables: 104   | Report Id: 1157531   | Hits: 154 |   Service & Software

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Summary


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% between 2019 and 2025.


This report studies the Machine Learning in Communication market size by players, regions, product types and end industries, history data 2014-2018 and forecast data 2019-2025; This report also studies the global market competition landscape, market drivers and trends, opportunities and challenges, risks and entry barriers, sales channels, distributors and Porter's Five Forces Analysis.


This report focuses on the global top players, covered

Amazon

IBM

Microsoft

Google

Nextiva

Nexmo

Twilio

Dialpad

Cisco

RingCentral


Market segment by Regions/Countries, this report covers

North America

Europe

China

Rest of Asia Pacific

Central & South America

Middle East & Africa


Market segment by Type, the product can be split into

Cloud-Based

On-Premise


Market segment by Application, the market can be split into

Network Optimization

Predictive Maintenance

Virtual Assistants

Robotic Process Automation (RPA)


The study objectives of this report are:

To study and forecast the market size of Machine Learning in Communication in global market.

To analyze the global key players, SWOT analysis, value and global market share for top players.

To define, describe and forecast the market by type, end use and region.

To analyze and compare the market status and forecast among global major regions.

To analyze the global key regions market potential and advantage, opportunity and challenge, restraints and risks.

To identify significant trends and factors driving or inhibiting the market growth.

To analyze the opportunities in the market for stakeholders by identifying the high growth segments.

To strategically analyze each submarket with respect to individual growth trend and their contribution to the market

To analyze competitive developments such as expansions, agreements, new product launches, and acquisitions in the market.

To strategically profile the key players and comprehensively analyze their growth strategies.


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.


Key Stakeholders

Raw material suppliers

Distributors/traders/wholesalers/suppliers

Regulatory bodies, including government agencies and NGO

Commercial research & development (R&D) institutions

Importers and exporters

Government organizations, research organizations, and consulting firms

Trade associations and industry bodies

End-use industries


Available Customizations

With the given market data, QYResearch offers customizations according to the company's specific needs. The following customization options are available for the report:

Further breakdown of Machine Learning in Communication market on basis of the key contributing countries.

Detailed analysis and profiling of additional market players.

Licenses Type

Only one user can access the report
Multiple users can access the report

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Global Machine Learning in Communication market

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