Machine Learning in Communication Market, Global Outlook and Forecast 2023-2029

Report ID: MMG147256 | Category: Service & Software | Pages: 67 | Format: PDF | Published Date: July 21,2023

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Report Summary

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 aims to provide a comprehensive presentation of the global market for Machine Learning in Communication, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Machine Learning in Communication. This report contains market size and forecasts of Machine Learning in Communication in global, including the following market information:
Global Machine Learning in Communication Market Revenue, 2018-2023, 2024-2029, ($ millions)
Global top five companies in 2022 (%)
The global Machine Learning in Communication market was valued at US$ million in 2022 and is projected to reach US$ million by 2029, at a CAGR of % during the forecast period. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
The U.S. Market is Estimated at $ Million in 2022, While China is to reach $ Million.
Cloud-Based Segment to Reach $ Million by 2029, with a % CAGR in next six years.
The global key manufacturers of Machine Learning in Communication include Amazon, IBM, Microsoft, Google, Nextiva, Nexmo, Twilio, Dialpad and Cisco, etc. in 2022, the global top five players have a share approximately % in terms of revenue.
MARKET MONITOR GLOBAL, INC (MMG) has surveyed the Machine Learning in Communication companies, and industry experts on this industry, involving the revenue, demand, product type, recent developments and plans, industry trends, drivers, challenges, obstacles, and potential risks.
Total Market by Segment:
Global Machine Learning in Communication Market, by Type, 2018-2023, 2024-2029 ($ millions)
Global Machine Learning in Communication Market Segment Percentages, by Type, 2022 (%)
    Cloud-Based
    On-Premise
Global Machine Learning in Communication Market, by Application, 2018-2023, 2024-2029 ($ millions)
Global Machine Learning in Communication Market Segment Percentages, by Application, 2022 (%)
    Network Optimization
    Predictive Maintenance
    Virtual Assistants
    Robotic Process Automation (RPA)
Global Machine Learning in Communication Market, By Region and Country, 2018-2023, 2024-2029 ($ Millions)
Global Machine Learning in Communication Market Segment Percentages, By Region and Country, 2022 (%)
    North America
        US
        Canada
        Mexico
    Europe
        Germany
        France
        U.K.
        Italy
        Russia
        Nordic Countries
        Benelux
        Rest of Europe
    Asia
        China
        Japan
        South Korea
        Southeast Asia
        India
        Rest of Asia
    South America
        Brazil
        Argentina
        Rest of South America
    Middle East & Africa
        Turkey
        Israel
        Saudi Arabia
        UAE
        Rest of Middle East & Africa
Competitor Analysis
The report also provides analysis of leading market participants including:
Key companies Machine Learning in Communication revenues in global market, 2018-2023 (estimated), ($ millions)
Key companies Machine Learning in Communication revenues share in global market, 2022 (%)
Further, the report presents profiles of competitors in the market, key players include:
    Amazon
    IBM
    Microsoft
    Google
    Nextiva
    Nexmo
    Twilio
    Dialpad
    Cisco
    RingCentral
Outline of Major Chapters:
Chapter 1: Introduces the definition of Machine Learning in Communication, market overview.
Chapter 2: Global Machine Learning in Communication market size in revenue.
Chapter 3: Detailed analysis of Machine Learning in Communication company competitive landscape, revenue and market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6: Sales of Machine Learning in Communication in regional level and country level. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space of each country in the world.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 8: The main points and conclusions of the report.

1 Introduction to Research & Analysis Reports
    1.1 Machine Learning in Communication Market Definition
    1.2 Market Segments
        1.2.1 Market by Type
        1.2.2 Market by Application
    1.3 Global Machine Learning in Communication Market Overview
    1.4 Features & Benefits of This Report
    1.5 Methodology & Sources of Information
        1.5.1 Research Methodology
        1.5.2 Research Process
        1.5.3 Base Year
        1.5.4 Report Assumptions & Caveats
2 Global Machine Learning in Communication Overall Market Size
    2.1 Global Machine Learning in Communication Market Size: 2022 VS 2029
    2.2 Global Machine Learning in Communication Market Size, Prospects & Forecasts: 2018-2029
    2.3 Key Market Trends, Opportunity, Drivers and Restraints
        2.3.1 Market Opportunities & Trends
        2.3.2 Market Drivers
        2.3.3 Market Restraints
3 Company Landscape
    3.1 Top Machine Learning in Communication Players in Global Market
    3.2 Top Global Machine Learning in Communication Companies Ranked by Revenue
    3.3 Global Machine Learning in Communication Revenue by Companies
    3.4 Top 3 and Top 5 Machine Learning in Communication Companies in Global Market, by Revenue in 2022
    3.5 Global Companies Machine Learning in Communication Product Type
    3.6 Tier 1, Tier 2 and Tier 3 Machine Learning in Communication Players in Global Market
        3.6.1 List of Global Tier 1 Machine Learning in Communication Companies
        3.6.2 List of Global Tier 2 and Tier 3 Machine Learning in Communication Companies
4 Market Sights by Product
    4.1 Overview
        4.1.1 By Type - Global Machine Learning in Communication Market Size Markets, 2022 & 2029
        4.1.2 Cloud-Based
        4.1.3 On-Premise
    4.2 By Type - Global Machine Learning in Communication Revenue & Forecasts
        4.2.1 By Type - Global Machine Learning in Communication Revenue, 2018-2023
        4.2.2 By Type - Global Machine Learning in Communication Revenue, 2024-2029
        4.2.3 By Type - Global Machine Learning in Communication Revenue Market Share, 2018-2029
5 Sights by Application
    5.1 Overview
        5.1.1 By Application - Global Machine Learning in Communication Market Size, 2022 & 2029
        5.1.2 Network Optimization
        5.1.3 Predictive Maintenance
        5.1.4 Virtual Assistants
        5.1.5 Robotic Process Automation (RPA)
    5.2 By Application - Global Machine Learning in Communication Revenue & Forecasts
        5.2.1 By Application - Global Machine Learning in Communication Revenue, 2018-2023
        5.2.2 By Application - Global Machine Learning in Communication Revenue, 2024-2029
        5.2.3 By Application - Global Machine Learning in Communication Revenue Market Share, 2018-2029
6 Sights by Region
    6.1 By Region - Global Machine Learning in Communication Market Size, 2022 & 2029
    6.2 By Region - Global Machine Learning in Communication Revenue & Forecasts
        6.2.1 By Region - Global Machine Learning in Communication Revenue, 2018-2023
        6.2.2 By Region - Global Machine Learning in Communication Revenue, 2024-2029
        6.2.3 By Region - Global Machine Learning in Communication Revenue Market Share, 2018-2029
    6.3 North America
        6.3.1 By Country - North America Machine Learning in Communication Revenue, 2018-2029
        6.3.2 US Machine Learning in Communication Market Size, 2018-2029
        6.3.3 Canada Machine Learning in Communication Market Size, 2018-2029
        6.3.4 Mexico Machine Learning in Communication Market Size, 2018-2029
    6.4 Europe
        6.4.1 By Country - Europe Machine Learning in Communication Revenue, 2018-2029
        6.4.2 Germany Machine Learning in Communication Market Size, 2018-2029
        6.4.3 France Machine Learning in Communication Market Size, 2018-2029
        6.4.4 U.K. Machine Learning in Communication Market Size, 2018-2029
        6.4.5 Italy Machine Learning in Communication Market Size, 2018-2029
        6.4.6 Russia Machine Learning in Communication Market Size, 2018-2029
        6.4.7 Nordic Countries Machine Learning in Communication Market Size, 2018-2029
        6.4.8 Benelux Machine Learning in Communication Market Size, 2018-2029
    6.5 Asia
        6.5.1 By Region - Asia Machine Learning in Communication Revenue, 2018-2029
        6.5.2 China Machine Learning in Communication Market Size, 2018-2029
        6.5.3 Japan Machine Learning in Communication Market Size, 2018-2029
        6.5.4 South Korea Machine Learning in Communication Market Size, 2018-2029
        6.5.5 Southeast Asia Machine Learning in Communication Market Size, 2018-2029
        6.5.6 India Machine Learning in Communication Market Size, 2018-2029
    6.6 South America
        6.6.1 By Country - South America Machine Learning in Communication Revenue, 2018-2029
        6.6.2 Brazil Machine Learning in Communication Market Size, 2018-2029
        6.6.3 Argentina Machine Learning in Communication Market Size, 2018-2029
    6.7 Middle East & Africa
        6.7.1 By Country - Middle East & Africa Machine Learning in Communication Revenue, 2018-2029
        6.7.2 Turkey Machine Learning in Communication Market Size, 2018-2029
        6.7.3 Israel Machine Learning in Communication Market Size, 2018-2029
        6.7.4 Saudi Arabia Machine Learning in Communication Market Size, 2018-2029
        6.7.5 UAE Machine Learning in Communication Market Size, 2018-2029
7 Machine Learning in Communication Companies Profiles
    7.1 Amazon
        7.1.1 Amazon Company Summary
        7.1.2 Amazon Business Overview
        7.1.3 Amazon Machine Learning in Communication Major Product Offerings
        7.1.4 Amazon Machine Learning in Communication Revenue in Global Market (2018-2023)
        7.1.5 Amazon Key News & Latest Developments
    7.2 IBM
        7.2.1 IBM Company Summary
        7.2.2 IBM Business Overview
        7.2.3 IBM Machine Learning in Communication Major Product Offerings
        7.2.4 IBM Machine Learning in Communication Revenue in Global Market (2018-2023)
        7.2.5 IBM Key News & Latest Developments
    7.3 Microsoft
        7.3.1 Microsoft Company Summary
        7.3.2 Microsoft Business Overview
        7.3.3 Microsoft Machine Learning in Communication Major Product Offerings
        7.3.4 Microsoft Machine Learning in Communication Revenue in Global Market (2018-2023)
        7.3.5 Microsoft Key News & Latest Developments
    7.4 Google
        7.4.1 Google Company Summary
        7.4.2 Google Business Overview
        7.4.3 Google Machine Learning in Communication Major Product Offerings
        7.4.4 Google Machine Learning in Communication Revenue in Global Market (2018-2023)
        7.4.5 Google Key News & Latest Developments
    7.5 Nextiva
        7.5.1 Nextiva Company Summary
        7.5.2 Nextiva Business Overview
        7.5.3 Nextiva Machine Learning in Communication Major Product Offerings
        7.5.4 Nextiva Machine Learning in Communication Revenue in Global Market (2018-2023)
        7.5.5 Nextiva Key News & Latest Developments
    7.6 Nexmo
        7.6.1 Nexmo Company Summary
        7.6.2 Nexmo Business Overview
        7.6.3 Nexmo Machine Learning in Communication Major Product Offerings
        7.6.4 Nexmo Machine Learning in Communication Revenue in Global Market (2018-2023)
        7.6.5 Nexmo Key News & Latest Developments
    7.7 Twilio
        7.7.1 Twilio Company Summary
        7.7.2 Twilio Business Overview
        7.7.3 Twilio Machine Learning in Communication Major Product Offerings
        7.7.4 Twilio Machine Learning in Communication Revenue in Global Market (2018-2023)
        7.7.5 Twilio Key News & Latest Developments
    7.8 Dialpad
        7.8.1 Dialpad Company Summary
        7.8.2 Dialpad Business Overview
        7.8.3 Dialpad Machine Learning in Communication Major Product Offerings
        7.8.4 Dialpad Machine Learning in Communication Revenue in Global Market (2018-2023)
        7.8.5 Dialpad Key News & Latest Developments
    7.9 Cisco
        7.9.1 Cisco Company Summary
        7.9.2 Cisco Business Overview
        7.9.3 Cisco Machine Learning in Communication Major Product Offerings
        7.9.4 Cisco Machine Learning in Communication Revenue in Global Market (2018-2023)
        7.9.5 Cisco Key News & Latest Developments
    7.10 RingCentral
        7.10.1 RingCentral Company Summary
        7.10.2 RingCentral Business Overview
        7.10.3 RingCentral Machine Learning in Communication Major Product Offerings
        7.10.4 RingCentral Machine Learning in Communication Revenue in Global Market (2018-2023)
        7.10.5 RingCentral Key News & Latest Developments
8 Conclusion
9 Appendix
    9.1 Note
    9.2 Examples of Clients
    9.3 Disclaimer

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Machine Learning in Communication Market, Global Outlook and Forecast 2023-2029

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