Report Detail
Global Machine Learning in Communication Market Growth (Status and Outlook) 2019-2024
- RnM3328928 |
- 22 April, 2019 |
- Global |
- 116 Pages |
- LPI(LP Information) |
- Service & Software
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.
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)
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
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.
Research objectives
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 Contents
2019-2024 Global Machine Learning in Communication Market Report (Status and Outlook)
1 Scope of the Report
- 1.1 Market Introduction
- 1.2 Research Objectives
- 1.3 Years Considered
- 1.4 Market Research Methodology
- 1.5 Economic Indicators
- 1.6 Currency Considered
2 Executive Summary
- 2.1 World Market Overview
- 2.1.1 Global Machine Learning in Communication Market Size 2014-2024
- 2.1.2 Machine Learning in Communication Market Size CAGR by Region
- 2.2 Machine Learning in Communication Segment by Type
- 2.2.1 Cloud-Based
- 2.2.2 On-Premise
- 2.3 Machine Learning in Communication Market Size by Type
- 2.3.1 Global Machine Learning in Communication Market Size Market Share by Type (2014-2019)
- 2.3.2 Global Machine Learning in Communication Market Size Growth Rate by Type (2014-2019)
- 2.4 Machine Learning in Communication Segment by Application
- 2.4.1 Network Optimization
- 2.4.2 Predictive Maintenance
- 2.4.3 Virtual Assistants
- 2.4.4 Robotic Process Automation (RPA)
- 2.5 Machine Learning in Communication Market Size by Application
- 2.5.1 Global Machine Learning in Communication Market Size Market Share by Application (2014-2019)
- 2.5.2 Global Machine Learning in Communication Market Size Growth Rate by Application (2014-2019)
3 Global Machine Learning in Communication by Players
- 3.1 Global Machine Learning in Communication Market Size Market Share by Players
- 3.1.1 Global Machine Learning in Communication Market Size by Players (2017-2019)
- 3.1.2 Global Machine Learning in Communication Market Size Market Share by Players (2017-2019)
- 3.2 Global Machine Learning in Communication Key Players Head office and Products Offered
- 3.3 Market Concentration Rate Analysis
- 3.3.1 Competition Landscape Analysis
- 3.3.2 Concentration Ratio (CR3, CR5 and CR10) (2017-2019)
- 3.4 New Products and Potential Entrants
- 3.5 Mergers & Acquisitions, Expansion
4 Machine Learning in Communication by Regions
- 4.1 Machine Learning in Communication Market Size by Regions
- 4.2 Americas Machine Learning in Communication Market Size Growth
- 4.3 APAC Machine Learning in Communication Market Size Growth
- 4.4 Europe Machine Learning in Communication Market Size Growth
- 4.5 Middle East & Africa Machine Learning in Communication Market Size Growth
5 Americas
- 5.1 Americas Machine Learning in Communication Market Size by Countries
- 5.2 Americas Machine Learning in Communication Market Size by Type
- 5.3 Americas Machine Learning in Communication Market Size by Application
- 5.4 United States
- 5.5 Canada
- 5.6 Mexico
- 5.7 Key Economic Indicators of Few Americas Countries
6 APAC
- 6.1 APAC Machine Learning in Communication Market Size by Countries
- 6.2 APAC Machine Learning in Communication Market Size by Type
- 6.3 APAC Machine Learning in Communication Market Size by Application
- 6.4 China
- 6.5 Japan
- 6.6 Korea
- 6.7 Southeast Asia
- 6.8 India
- 6.9 Australia
- 6.10 Key Economic Indicators of Few APAC Countries
7 Europe
- 7.1 Europe Machine Learning in Communication by Countries
- 7.2 Europe Machine Learning in Communication Market Size by Type
- 7.3 Europe Machine Learning in Communication Market Size by Application
- 7.4 Germany
- 7.5 France
- 7.6 UK
- 7.7 Italy
- 7.8 Russia
- 7.9 Spain
- 7.10 Key Economic Indicators of Few Europe Countries
8 Middle East & Africa
- 8.1 Middle East & Africa Machine Learning in Communication by Countries
- 8.2 Middle East & Africa Machine Learning in Communication Market Size by Type
- 8.3 Middle East & Africa Machine Learning in Communication Market Size by Application
- 8.4 Egypt
- 8.5 South Africa
- 8.6 Israel
- 8.7 Turkey
- 8.8 GCC Countries
9 Market Drivers, Challenges and Trends
- 9.1 Market Drivers and Impact
- 9.1.1 Growing Demand from Key Regions
- 9.1.2 Growing Demand from Key Applications and Potential Industries
- 9.2 Market Challenges and Impact
- 9.3 Market Trends
10 Global Machine Learning in Communication Market Forecast
- 10.1 Global Machine Learning in Communication Market Size Forecast (2019-2024)
- 10.2 Global Machine Learning in Communication Forecast by Regions
- 10.2.1 Global Machine Learning in Communication Forecast by Regions (2019-2024)
- 10.2.2 Americas Market Forecast
- 10.2.3 APAC Market Forecast
- 10.2.4 Europe Market Forecast
- 10.2.5 Middle East & Africa Market Forecast
- 10.3 Americas Forecast by Countries
- 10.3.1 United States Market Forecast
- 10.3.2 Canada Market Forecast
- 10.3.3 Mexico Market Forecast
- 10.3.4 Brazil Market Forecast
- 10.4 APAC Forecast by Countries
- 10.4.1 China Market Forecast
- 10.4.2 Japan Market Forecast
- 10.4.3 Korea Market Forecast
- 10.4.4 Southeast Asia Market Forecast
- 10.4.5 India Market Forecast
- 10.4.6 Australia Market Forecast
- 10.5 Europe Forecast by Countries
- 10.5.1 Germany Market Forecast
- 10.5.2 France Market Forecast
- 10.5.3 UK Market Forecast
- 10.5.4 Italy Market Forecast
- 10.5.5 Russia Market Forecast
- 10.5.6 Spain Market Forecast
- 10.6 Middle East & Africa Forecast by Countries
- 10.6.1 Egypt Market Forecast
- 10.6.2 South Africa Market Forecast
- 10.6.3 Israel Market Forecast
- 10.6.4 Turkey Market Forecast
- 10.6.5 GCC Countries Market Forecast
- 10.7 Global Machine Learning in Communication Forecast by Type
- 10.8 Global Machine Learning in Communication Forecast by Application
11 Key Players Analysis
- 11.1 Amazon
- 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 IBM
- 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 Microsoft
- 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
- 11.4 Google
- 11.4.1 Company Details
- 11.4.2 Machine Learning in Communication Product Offered
- 11.4.3 Google Machine Learning in Communication Revenue, Gross Margin and Market Share (2017-2019)
- 11.4.4 Main Business Overview
- 11.4.5 Google News
- 11.5 Nextiva
- 11.5.1 Company Details
- 11.5.2 Machine Learning in Communication Product Offered
- 11.5.3 Nextiva Machine Learning in Communication Revenue, Gross Margin and Market Share (2017-2019)
- 11.5.4 Main Business Overview
- 11.5.5 Nextiva News
- 11.6 Nexmo
- 11.6.1 Company Details
- 11.6.2 Machine Learning in Communication Product Offered
- 11.6.3 Nexmo Machine Learning in Communication Revenue, Gross Margin and Market Share (2017-2019)
- 11.6.4 Main Business Overview
- 11.6.5 Nexmo News
- 11.7 Twilio
- 11.7.1 Company Details
- 11.7.2 Machine Learning in Communication Product Offered
- 11.7.3 Twilio Machine Learning in Communication Revenue, Gross Margin and Market Share (2017-2019)
- 11.7.4 Main Business Overview
- 11.7.5 Twilio News
- 11.8 Dialpad
- 11.8.1 Company Details
- 11.8.2 Machine Learning in Communication Product Offered
- 11.8.3 Dialpad Machine Learning in Communication Revenue, Gross Margin and Market Share (2017-2019)
- 11.8.4 Main Business Overview
- 11.8.5 Dialpad News
- 11.9 Cisco
- 11.9.1 Company Details
- 11.9.2 Machine Learning in Communication Product Offered
- 11.9.3 Cisco Machine Learning in Communication Revenue, Gross Margin and Market Share (2017-2019)
- 11.9.4 Main Business Overview
- 11.9.5 Cisco News
- 11.10 RingCentral
- 11.10.1 Company Details
- 11.10.2 Machine Learning in Communication Product Offered
- 11.10.3 RingCentral Machine Learning in Communication Revenue, Gross Margin and Market Share (2017-2019)
- 11.10.4 Main Business Overview
- 11.10.5 RingCentral News
12 Research Findings and Conclusion
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 Growth (Status and Outlook) 2019-2024. 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.
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