Report Detail
Global Machine Learning in Communication Market 2024 by Company, Regions, Type and Application, Forecast to 2030
- RnM3651288 |
- 13 August, 2024 |
- Global |
- 115 Pages |
- GIR (Global Info Research) |
- Service & Software
According to our (Global Info Research) latest study, the global Machine Learning in Communication market size was valued at USD million in 2023 and is forecast to a readjusted size of USD million by 2030 with a CAGR of % during review period.
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.
The Global Mobile Economy Development Report 2023 released by GSMA Intelligence pointed out that by the end of 2022, the number of global mobile users would exceed 5.4 billion. The mobile ecosystem supports 16 million jobs directly and 12 million jobs indirectly.
According to our Communications Research Centre, in 2022, the global communication equipment was valued at US$ 100 billion. The U.S. and China are powerhouses in the manufacture of communications equipment. According to data from the Ministry of Industry and Information Technology of China, the cumulative revenue of telecommunications services in 2022 was ¥1.58 trillion, an increase of 8% over the previous year. The total amount of telecommunications business calculated at the price of the previous year reached ¥1.75 trillion, a year-on-year increase of 21.3%. In the same year, the fixed Internet broadband access business revenue was ¥240.2 billion, an increase of 7.1% over the previous year, and its proportion in the telecommunications business revenue decreased from 15.3% in the previous year to 15.2%, driving the telecommunications business revenue to increase by 1.1 percentage points.
The Global Info Research report includes an overview of the development of the Machine Learning in Communication industry chain, the market status of Network Optimization (Cloud-Based, On-Premise), Predictive Maintenance (Cloud-Based, On-Premise), and key enterprises in developed and developing market, and analysed the cutting-edge technology, patent, hot applications and market trends of Machine Learning in Communication.
Regionally, the report analyzes the Machine Learning in Communication markets in key regions. North America and Europe are experiencing steady growth, driven by government initiatives and increasing consumer awareness. Asia-Pacific, particularly China, leads the global Machine Learning in Communication market, with robust domestic demand, supportive policies, and a strong manufacturing base.
Key Features:
The report presents comprehensive understanding of the Machine Learning in Communication market. It provides a holistic view of the industry, as well as detailed insights into individual components and stakeholders. The report analysis market dynamics, trends, challenges, and opportunities within the Machine Learning in Communication industry.
The report involves analyzing the market at a macro level:
Market Sizing and Segmentation: Report collect data on the overall market size, including the revenue generated, and market share of different by Type (e.g., Cloud-Based, On-Premise).
Industry Analysis: Report analyse the broader industry trends, such as government policies and regulations, technological advancements, consumer preferences, and market dynamics. This analysis helps in understanding the key drivers and challenges influencing the Machine Learning in Communication market.
Regional Analysis: The report involves examining the Machine Learning in Communication market at a regional or national level. Report analyses regional factors such as government incentives, infrastructure development, economic conditions, and consumer behaviour to identify variations and opportunities within different markets.
Market Projections: Report covers the gathered data and analysis to make future projections and forecasts for the Machine Learning in Communication market. This may include estimating market growth rates, predicting market demand, and identifying emerging trends.
The report also involves a more granular approach to Machine Learning in Communication:
Company Analysis: Report covers individual Machine Learning in Communication players, suppliers, and other relevant industry players. This analysis includes studying their financial performance, market positioning, product portfolios, partnerships, and strategies.
Consumer Analysis: Report covers data on consumer behaviour, preferences, and attitudes towards Machine Learning in Communication This may involve surveys, interviews, and analysis of consumer reviews and feedback from different by Application (Network Optimization, Predictive Maintenance).
Technology Analysis: Report covers specific technologies relevant to Machine Learning in Communication. It assesses the current state, advancements, and potential future developments in Machine Learning in Communication areas.
Competitive Landscape: By analyzing individual companies, suppliers, and consumers, the report present insights into the competitive landscape of the Machine Learning in Communication market. This analysis helps understand market share, competitive advantages, and potential areas for differentiation among industry players.
Market Validation: The report involves validating findings and projections through primary research, such as surveys, interviews, and focus groups.
Market Segmentation
Machine Learning in Communication market is split by Type and by Application. For the period 2019-2030, the growth among segments provides accurate calculations and forecasts for consumption value by Type, and by Application in terms of value.
Market segment by Type
Cloud-Based
On-Premise
Market segment by Application
Network Optimization
Predictive Maintenance
Virtual Assistants
Robotic Process Automation (RPA)
Market segment by players, 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, Italy, and Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia, Australia and Rest of Asia-Pacific)
South America (Brazil, Argentina and Rest of South America)
Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)
The content of the study subjects, includes a total of 13 chapters:
Chapter 1, to describe Machine Learning in Communication product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of Machine Learning in Communication, with revenue, gross margin and global market share of Machine Learning in Communication from 2019 to 2024.
Chapter 3, the Machine Learning in Communication competitive situation, revenue and global market share of top players are analyzed emphatically by landscape contrast.
Chapter 4 and 5, to segment the market size by Type and application, with consumption value and growth rate by Type, application, from 2019 to 2030.
Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2019 to 2024.and Machine Learning in Communication market forecast, by regions, type and application, with consumption value, from 2025 to 2030.
Chapter 11, market dynamics, drivers, restraints, trends and Porters Five Forces analysis.
Chapter 12, the key raw materials and key suppliers, and industry chain of Machine Learning in Communication.
Chapter 13, to describe Machine Learning in Communication research findings and conclusion.
1 Market Overview
- 1.1 Product Overview and Scope of Machine Learning in Communication
- 1.2 Market Estimation Caveats and Base Year
- 1.3 Classification of Machine Learning in Communication by Type
- 1.3.1 Overview: Global Machine Learning in Communication Market Size by Type: 2019 Versus 2023 Versus 2030
- 1.3.2 Global Machine Learning in Communication Consumption Value Market Share by Type in 2023
- 1.3.3 Cloud-Based
- 1.3.4 On-Premise
- 1.4 Global Machine Learning in Communication Market by Application
- 1.4.1 Overview: Global Machine Learning in Communication Market Size by Application: 2019 Versus 2023 Versus 2030
- 1.4.2 Network Optimization
- 1.4.3 Predictive Maintenance
- 1.4.4 Virtual Assistants
- 1.4.5 Robotic Process Automation (RPA)
- 1.5 Global Machine Learning in Communication Market Size & Forecast
- 1.6 Global Machine Learning in Communication Market Size and Forecast by Region
- 1.6.1 Global Machine Learning in Communication Market Size by Region: 2019 VS 2023 VS 2030
- 1.6.2 Global Machine Learning in Communication Market Size by Region, (2019-2030)
- 1.6.3 North America Machine Learning in Communication Market Size and Prospect (2019-2030)
- 1.6.4 Europe Machine Learning in Communication Market Size and Prospect (2019-2030)
- 1.6.5 Asia-Pacific Machine Learning in Communication Market Size and Prospect (2019-2030)
- 1.6.6 South America Machine Learning in Communication Market Size and Prospect (2019-2030)
- 1.6.7 Middle East and Africa Machine Learning in Communication Market Size and Prospect (2019-2030)
2 Company Profiles
- 2.1 Amazon
- 2.1.1 Amazon Details
- 2.1.2 Amazon Major Business
- 2.1.3 Amazon Machine Learning in Communication Product and Solutions
- 2.1.4 Amazon Machine Learning in Communication Revenue, Gross Margin and Market Share (2019-2024)
- 2.1.5 Amazon Recent Developments and Future Plans
- 2.2 IBM
- 2.2.1 IBM Details
- 2.2.2 IBM Major Business
- 2.2.3 IBM Machine Learning in Communication Product and Solutions
- 2.2.4 IBM Machine Learning in Communication Revenue, Gross Margin and Market Share (2019-2024)
- 2.2.5 IBM Recent Developments and Future Plans
- 2.3 Microsoft
- 2.3.1 Microsoft Details
- 2.3.2 Microsoft Major Business
- 2.3.3 Microsoft Machine Learning in Communication Product and Solutions
- 2.3.4 Microsoft Machine Learning in Communication Revenue, Gross Margin and Market Share (2019-2024)
- 2.3.5 Microsoft Recent Developments and Future Plans
- 2.4 Google
- 2.4.1 Google Details
- 2.4.2 Google Major Business
- 2.4.3 Google Machine Learning in Communication Product and Solutions
- 2.4.4 Google Machine Learning in Communication Revenue, Gross Margin and Market Share (2019-2024)
- 2.4.5 Google Recent Developments and Future Plans
- 2.5 Nextiva
- 2.5.1 Nextiva Details
- 2.5.2 Nextiva Major Business
- 2.5.3 Nextiva Machine Learning in Communication Product and Solutions
- 2.5.4 Nextiva Machine Learning in Communication Revenue, Gross Margin and Market Share (2019-2024)
- 2.5.5 Nextiva Recent Developments and Future Plans
- 2.6 Nexmo
- 2.6.1 Nexmo Details
- 2.6.2 Nexmo Major Business
- 2.6.3 Nexmo Machine Learning in Communication Product and Solutions
- 2.6.4 Nexmo Machine Learning in Communication Revenue, Gross Margin and Market Share (2019-2024)
- 2.6.5 Nexmo Recent Developments and Future Plans
- 2.7 Twilio
- 2.7.1 Twilio Details
- 2.7.2 Twilio Major Business
- 2.7.3 Twilio Machine Learning in Communication Product and Solutions
- 2.7.4 Twilio Machine Learning in Communication Revenue, Gross Margin and Market Share (2019-2024)
- 2.7.5 Twilio Recent Developments and Future Plans
- 2.8 Dialpad
- 2.8.1 Dialpad Details
- 2.8.2 Dialpad Major Business
- 2.8.3 Dialpad Machine Learning in Communication Product and Solutions
- 2.8.4 Dialpad Machine Learning in Communication Revenue, Gross Margin and Market Share (2019-2024)
- 2.8.5 Dialpad Recent Developments and Future Plans
- 2.9 Cisco
- 2.9.1 Cisco Details
- 2.9.2 Cisco Major Business
- 2.9.3 Cisco Machine Learning in Communication Product and Solutions
- 2.9.4 Cisco Machine Learning in Communication Revenue, Gross Margin and Market Share (2019-2024)
- 2.9.5 Cisco Recent Developments and Future Plans
- 2.10 RingCentral
- 2.10.1 RingCentral Details
- 2.10.2 RingCentral Major Business
- 2.10.3 RingCentral Machine Learning in Communication Product and Solutions
- 2.10.4 RingCentral Machine Learning in Communication Revenue, Gross Margin and Market Share (2019-2024)
- 2.10.5 RingCentral Recent Developments and Future Plans
3 Market Competition, by Players
- 3.1 Global Machine Learning in Communication Revenue and Share by Players (2019-2024)
- 3.2 Market Share Analysis (2023)
- 3.2.1 Market Share of Machine Learning in Communication by Company Revenue
- 3.2.2 Top 3 Machine Learning in Communication Players Market Share in 2023
- 3.2.3 Top 6 Machine Learning in Communication Players Market Share in 2023
- 3.3 Machine Learning in Communication Market: Overall Company Footprint Analysis
- 3.3.1 Machine Learning in Communication Market: Region Footprint
- 3.3.2 Machine Learning in Communication Market: Company Product Type Footprint
- 3.3.3 Machine Learning in Communication Market: Company Product Application Footprint
- 3.4 New Market Entrants and Barriers to Market Entry
- 3.5 Mergers, Acquisition, Agreements, and Collaborations
4 Market Size Segment by Type
- 4.1 Global Machine Learning in Communication Consumption Value and Market Share by Type (2019-2024)
- 4.2 Global Machine Learning in Communication Market Forecast by Type (2025-2030)
5 Market Size Segment by Application
- 5.1 Global Machine Learning in Communication Consumption Value Market Share by Application (2019-2024)
- 5.2 Global Machine Learning in Communication Market Forecast by Application (2025-2030)
6 North America
- 6.1 North America Machine Learning in Communication Consumption Value by Type (2019-2030)
- 6.2 North America Machine Learning in Communication Consumption Value by Application (2019-2030)
- 6.3 North America Machine Learning in Communication Market Size by Country
- 6.3.1 North America Machine Learning in Communication Consumption Value by Country (2019-2030)
- 6.3.2 United States Machine Learning in Communication Market Size and Forecast (2019-2030)
- 6.3.3 Canada Machine Learning in Communication Market Size and Forecast (2019-2030)
- 6.3.4 Mexico Machine Learning in Communication Market Size and Forecast (2019-2030)
7 Europe
- 7.1 Europe Machine Learning in Communication Consumption Value by Type (2019-2030)
- 7.2 Europe Machine Learning in Communication Consumption Value by Application (2019-2030)
- 7.3 Europe Machine Learning in Communication Market Size by Country
- 7.3.1 Europe Machine Learning in Communication Consumption Value by Country (2019-2030)
- 7.3.2 Germany Machine Learning in Communication Market Size and Forecast (2019-2030)
- 7.3.3 France Machine Learning in Communication Market Size and Forecast (2019-2030)
- 7.3.4 United Kingdom Machine Learning in Communication Market Size and Forecast (2019-2030)
- 7.3.5 Russia Machine Learning in Communication Market Size and Forecast (2019-2030)
- 7.3.6 Italy Machine Learning in Communication Market Size and Forecast (2019-2030)
8 Asia-Pacific
- 8.1 Asia-Pacific Machine Learning in Communication Consumption Value by Type (2019-2030)
- 8.2 Asia-Pacific Machine Learning in Communication Consumption Value by Application (2019-2030)
- 8.3 Asia-Pacific Machine Learning in Communication Market Size by Region
- 8.3.1 Asia-Pacific Machine Learning in Communication Consumption Value by Region (2019-2030)
- 8.3.2 China Machine Learning in Communication Market Size and Forecast (2019-2030)
- 8.3.3 Japan Machine Learning in Communication Market Size and Forecast (2019-2030)
- 8.3.4 South Korea Machine Learning in Communication Market Size and Forecast (2019-2030)
- 8.3.5 India Machine Learning in Communication Market Size and Forecast (2019-2030)
- 8.3.6 Southeast Asia Machine Learning in Communication Market Size and Forecast (2019-2030)
- 8.3.7 Australia Machine Learning in Communication Market Size and Forecast (2019-2030)
9 South America
- 9.1 South America Machine Learning in Communication Consumption Value by Type (2019-2030)
- 9.2 South America Machine Learning in Communication Consumption Value by Application (2019-2030)
- 9.3 South America Machine Learning in Communication Market Size by Country
- 9.3.1 South America Machine Learning in Communication Consumption Value by Country (2019-2030)
- 9.3.2 Brazil Machine Learning in Communication Market Size and Forecast (2019-2030)
- 9.3.3 Argentina Machine Learning in Communication Market Size and Forecast (2019-2030)
10 Middle East & Africa
- 10.1 Middle East & Africa Machine Learning in Communication Consumption Value by Type (2019-2030)
- 10.2 Middle East & Africa Machine Learning in Communication Consumption Value by Application (2019-2030)
- 10.3 Middle East & Africa Machine Learning in Communication Market Size by Country
- 10.3.1 Middle East & Africa Machine Learning in Communication Consumption Value by Country (2019-2030)
- 10.3.2 Turkey Machine Learning in Communication Market Size and Forecast (2019-2030)
- 10.3.3 Saudi Arabia Machine Learning in Communication Market Size and Forecast (2019-2030)
- 10.3.4 UAE Machine Learning in Communication Market Size and Forecast (2019-2030)
11 Market Dynamics
- 11.1 Machine Learning in Communication Market Drivers
- 11.2 Machine Learning in Communication Market Restraints
- 11.3 Machine Learning in Communication Trends Analysis
- 11.4 Porters Five Forces Analysis
- 11.4.1 Threat of New Entrants
- 11.4.2 Bargaining Power of Suppliers
- 11.4.3 Bargaining Power of Buyers
- 11.4.4 Threat of Substitutes
- 11.4.5 Competitive Rivalry
12 Industry Chain Analysis
- 12.1 Machine Learning in Communication Industry Chain
- 12.2 Machine Learning in Communication Upstream Analysis
- 12.3 Machine Learning in Communication Midstream Analysis
- 12.4 Machine Learning in Communication Downstream Analysis
13 Research Findings and Conclusion
14 Appendix
- 14.1 Methodology
- 14.2 Research Process and Data Source
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 2024 by Company, Regions, Type and Application, Forecast to 2030. 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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