Machine Learning in Communication Market Technological Innovation, Demand and Growth Forecast by Key Players: Amazon, IBM, Microsoft, Google, Nextiva, Nexmo, Twilio, Dialpad
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.
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.
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Companies Profiled in this report includes: Amazon, IBM, Microsoft, Google, Nextiva, Nexmo, Twilio, Dialpad, Cisco, RingCentral
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.
Segmentation by application: breakdown data from 2014 to 2019, in Section 2.4; and forecast to 2024 in section 10.8.
Robotic Process Automation (RPA)
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To study and analyze the global Machine Learning in Communication market size by key regions/countries, product type and application, history data from 2014 to 2018, and forecast to 2024.
To understand the structure of Machine Learning in Communication market by identifying its various subsegments.
Focuses on the key global Machine Learning in Communication players, to define, describe and analyze the value, market share, market competition landscape, SWOT analysis and development plans in next few years.
To analyze the Machine Learning in Communication with respect to individual growth trends, future prospects, and their contribution to the total market.
To share detailed information about the key factors influencing the growth of the market (growth potential, opportunities, drivers, industry-specific challenges and risks).
To project the size of Machine Learning in Communication submarkets, with respect to key regions (along with their respective key countries).
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.
Table of Content:
2019-2024 Global Machine Learning in Communication Market Report (Status and Outlook)
1 Scope of the Report
2 Executive Summary
3 Global Machine Learning in Communication by Players
4 Machine Learning in Communication by Regions
8 Middle East & Africa
9 Market Drivers, Challenges and Trends
10 Global Machine Learning in Communication Market Forecast
11 Key Players Analysis
11.1.1 Company Details
11.1.2 Machine Learning in Communication Product Offered
11.1.3 Amazon Machine Learning in Communication Revenue, Gross Margin and Market Share (2017-2019)
11.1.4 Main Business Overview
11.1.5 Amazon News
11.2.1 Company Details
11.2.2 Machine Learning in Communication Product Offered
11.2.3 IBM Machine Learning in Communication Revenue, Gross Margin and Market Share (2017-2019)
11.2.4 Main Business Overview
11.2.5 IBM News
11.3.1 Company Details
11.3.2 Machine Learning in Communication Product Offered
11.3.3 Microsoft Machine Learning in Communication Revenue, Gross Margin and Market Share (2017-2019)
11.3.4 Main Business Overview
11.3.5 Microsoft News
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