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Machine Learning in Communication Market Segment, Advanced Technologies, & Top Key Players 2024

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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.

According to this study, over the next five years the Machine Learning in Communication market will register a xx% CAGR in terms of revenue, the global market size will reach US$ xx million by 2024, from US$ xx million in 2019. In particular, this report presents the global revenue market share of key companies in Machine Learning in Communication business, shared in Chapter 3.

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This report presents a comprehensive overview, market shares and growth opportunities of Machine Learning in Communication market by product type, application, key companies and key regions.

This study considers the Machine Learning in Communication value generated from the sales of the following segments:

Segmentation by product type:
breakdown data from 2014 to 2019 in Section 2.3; and forecast to 2024 in section 10.7.
Cloud-Based
On-Premise

Segmentation by application:
breakdown data from 2014 to 2019, in Section 2.4; and forecast to 2024 in section 10.8.
Network Optimization
Predictive Maintenance
Virtual Assistants
Robotic Process Automation (RPA)

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This report also splits the market by region: Breakdown data in Chapter 4, 5, 6, 7 and 8.
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Spain
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries

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The report also presents the market competition landscape and a corresponding detailed analysis of the major vendor/manufacturers in the market. The key manufacturers covered in this report: Breakdown data in in Chapter 3.
Amazon
IBM
Microsoft
Google
Nextiva
Nexmo
Twilio
Dialpad
Cisco
RingCentral

In addition, this report discusses the key drivers influencing market growth, opportunities, the challenges and the risks faced by key players and the market as a whole. It also analyzes key emerging trends and their impact on present and future development.

Major Point of TOC:

Chapter One: Scope of the Report

Chapter Two: Executive Summary

Chapter Three: Global Machine Learning in Communication by Players

Chapter Four: Machine Learning in Communication by Regions

Chapter Five: Americas

Chapter Six: APAC

Chapter Seven: Europe

Chapter Eight: Middle East & Africa

Chapter Nine: Market Drivers, Challenges and Trends

Chapter Ten: Global Machine Learning in Communication Market Forecast

Chapter Eleven: Key Players Analysis

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