The International Machine Learning in Communication market size was xxx million USD with a CAGR xx % from 2015- 2019. It will stretch to xxx million USD in 2020 with a CAGR of xx % from 2020 to 2025.
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.
As the report focuses on global Machine Learning in Communication market, mainly in Europe and Asia Pacific, North America, Middle East and Africa, and South America. This report segmented the market on the basis of regions, manufacturers, applications, and type.
in addition, this report introduces market competition situation among the vendors and company profile, besides, market price analysis and value chain features are covered in this report.
In market segmentation by manufacturers, the report covers the following companies-
Amazon
IBM
Microsoft
Google
Nextiva
Nexmo
Twilio
Dialpad
Cisco
RingCentral
In market segmentation by geographical regions, the report has analyzed the following regions-
North America (USA, Canada and Mexico)
Europe (Germany, France, UK, Russia and Italy)
Asia-Pacific (China, Japan, Korea, India and Southeast Asia)
South America (Brazil, Argentina, Columbia etc.)
Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)
In market segmentation by types covers:
Cloud-Based
On-Premise
In market segmentation by applications :
Network Optimization
Predictive Maintenance
Virtual Assistants
Robotic Process Automation (RPA)
Apart from the drivers, restraints, and opportunities, the report also offers competitive landscape, including various growth strategies adopted by profiled players for establishing significant position in the industry. The segmentation included in the comprehensive report will help respectable manufacturers to set up their processing units in the regions and increase their global presence. This would also benefit the industry and increase the company\'s product portfolio.
The research provides answers to the following key questions:
• What is the estimated growth rate and market share and size of the Machine Learning in Communication market for the forecast period 2020 - 2025?
• What are the driving forces in the Machine Learning in Communication market for the forecast period 2020 - 2025?
• Who are the prominent market players and how have they gained a competitive edge over other competitors?
• What are the market trends influencing the progress of the Machine Learning in Communication industry worldwide?
• What are the major challenges and threats restricting the progress of the industry?
• What opportunities does the market hold for the prominent market players?