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.
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.