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.
Scope of the Report:
The global Machine Learning in Communication market is valued at xx million USD in 2018 and is expected to reach xx million USD by the end of 2024, growing at a CAGR of xx% between 2019 and 2024.
The Asia-Pacific will occupy for more market share in following years, especially in China, also fast growing India and Southeast Asia regions.
North America, especially The United States, will still play an important role which cannot be ignored. Any changes from United States might affect the development trend of Machine Learning in Communication.
Europe also play important roles in global market, with market size of xx million USD in 2019 and will be xx million USD in 2024, with a CAGR of xx%.
This report studies the Machine Learning in Communication market status and outlook of Global and major regions, from angles of players, countries, product types and end industries; this report analyzes the top players in global market, and splits the Machine Learning in Communication market by product type and applications/end industries.
Market Segment by Companies, this report covers
Amazon
IBM
Microsoft
Google
Nextiva
Nexmo
Twilio
Dialpad
Cisco
RingCentral
Market Segment by Regions, regional analysis covers
North America (United States, Canada and Mexico)
Europe (Germany, France, UK, Russia and Italy)
Asia-Pacific (China, Japan, Korea, India and Southeast Asia)
South America (Brazil, Argentina, Colombia)
Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)
Market Segment by Type, covers
Cloud-Based
On-Premise
Market Segment by Applications, can be divided into
Network Optimization
Predictive Maintenance
Virtual Assistants
Robotic Process Automation (RPA)
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 2019 by Company, Regions, Type and Application, Forecast to 2024. 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.