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.
Market Analysis and Insights: Global Machine Learning in Communication Market
The global Machine Learning in Communication market is projected to grow from US$ million in 2024 to US$ million by 2030, at a Compound Annual Growth Rate (CAGR) of % during the forecast period.
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 楼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 楼1.75 trillion, a year-on-year increase of 21.3%. In the same year, the fixed Internet broadband access business revenue was 楼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.
Report Covers:
This report presents an overview of global market for Machine Learning in Communication market size. Analyses of the global market trends, with historic market revenue data for 2019 - 2023, estimates for 2024, and projections of CAGR through 2030.
This report researches the key producers of Machine Learning in Communication, also provides the revenue of main regions and countries. Highlights of the upcoming market potential for Machine Learning in Communication, and key regions/countries of focus to forecast this market into various segments and sub-segments. Country specific data and market value analysis for the U.S., Canada, Mexico, Brazil, China, Japan, South Korea, Southeast Asia, India, Germany, the U.K., Italy, Middle East, Africa, and Other Countries.
This report focuses on the Machine Learning in Communication revenue, market share and industry ranking of main companies, data from 2019 to 2024. Identification of the major stakeholders in the global Machine Learning in Communication market, and analysis of their competitive landscape and market positioning based on recent developments and segmental revenues. This report will help stakeholders to understand the competitive landscape and gain more insights and position their businesses and market strategies in a better way.
This report analyzes the segments data by Type and by Application, revenue, and growth rate, from 2019 to 2030. Evaluation and forecast the market size for Machine Learning in Communication revenue, projected growth trends, production technology, application and end-user industry.
Market Segmentation
By Company
Amazon
IBM
Microsoft
Google
Nextiva
Nexmo
Twilio
Dialpad
Cisco
RingCentral
Segment by Type
Cloud-Based
On-Premise
Segment by Application
Network Optimization
Predictive Maintenance
Virtual Assistants
Robotic Process Automation (RPA)
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
China
Asia (excluding China)
Japan
South Korea
China Taiwan
Southeast Asia
India
Latin America, Middle East & Africa
Brazil
Mexico
Turkey
Israel
GCC Countries
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (product type, application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Revenue of Machine Learning in Communication in global and regional 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, and capacity of each country in the world. This section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Machine Learning in Communication companies鈥� competitive landscape, revenue, market share and industry ranking, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the revenue, 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 revenue, and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6: North America (US & Canada) by Type, by Application and by country, revenue for each segment.
Chapter 7: Europe by Type, by Application and by country, revenue for each segment.
Chapter 8: China by Type, and by Application, revenue for each segment.
Chapter 9: Asia (excluding China) by Type, by Application and by region, revenue for each segment.
Chapter 10: Middle East, Africa, and Latin America by Type, by Application and by country, revenue for each segment.
Chapter 11: Provides profiles of key companies, introducing the basic situation of the main companies in the market in detail, including product descriptions and specifications, Machine Learning in Communication revenue, gross margin, and recent development, etc.
Chapter 12: Analyst's Viewpoints/Conclusions
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1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Machine Learning in Communication Market Size Growth Rate by Type, 2019 VS 2023 VS 2030
1.2.2 Cloud-Based
1.2.3 On-Premise
1.3 Market by Application
1.3.1 Global Machine Learning in Communication Market Size Growth Rate by Application, 2019 VS 2023 VS 2030
1.3.2 Network Optimization
1.3.3 Predictive Maintenance
1.3.4 Virtual Assistants
1.3.5 Robotic Process Automation (RPA)
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global Machine Learning in Communication Market Perspective (2019-2030)
2.2 Global Machine Learning in Communication Growth Trends by Region
2.2.1 Machine Learning in Communication Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Machine Learning in Communication Historic Market Size by Region (2019-2024)
2.2.3 Machine Learning in Communication Forecasted Market Size by Region (2025-2030)
2.3 Machine Learning in Communication Market Dynamics
2.3.1 Machine Learning in Communication Industry Trends
2.3.2 Machine Learning in Communication Market Drivers
2.3.3 Machine Learning in Communication Market Challenges
2.3.4 Machine Learning in Communication Market Restraints
3 Competition Landscape by Key Players
3.1 Global Revenue Machine Learning in Communication by Players
3.1.1 Global Machine Learning in Communication Revenue by Players (2019-2024)
3.1.2 Global Machine Learning in Communication Revenue Market Share by Players (2019-2024)
3.2 Global Machine Learning in Communication Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players of Machine Learning in Communication, Ranking by Revenue, 2022 VS 2023 VS 2024
3.4 Global Machine Learning in Communication Market Concentration Ratio
3.4.1 Global Machine Learning in Communication Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Machine Learning in Communication Revenue in 2023
3.5 Global Key Players of Machine Learning in Communication Head office and Area Served
3.6 Global Key Players of Machine Learning in Communication, Product and Application
3.7 Global Key Players of Machine Learning in Communication, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 Machine Learning in Communication Breakdown Data by Type
4.1 Global Machine Learning in Communication Historic Market Size by Type (2019-2024)
4.2 Global Machine Learning in Communication Forecasted Market Size by Type (2025-2030)
5 Machine Learning in Communication Breakdown Data by Application
5.1 Global Machine Learning in Communication Historic Market Size by Application (2019-2024)
5.2 Global Machine Learning in Communication Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Machine Learning in Communication Market Size (2019-2030)
6.2 North America Machine Learning in Communication Market Size by Type
6.2.1 North America Machine Learning in Communication Market Size by Type (2019-2024)
6.2.2 North America Machine Learning in Communication Market Size by Type (2025-2030)
6.2.3 North America Machine Learning in Communication Market Share by Type (2019-2030)
6.3 North America Machine Learning in Communication Market Size by Application
6.3.1 North America Machine Learning in Communication Market Size by Application (2019-2024)
6.3.2 North America Machine Learning in Communication Market Size by Application (2025-2030)
6.3.3 North America Machine Learning in Communication Market Share by Application (2019-2030)
6.4 North America Machine Learning in Communication Market Size by Country
6.4.1 North America Machine Learning in Communication Market Size by Country: 2019 VS 2023 VS 2030
6.4.2 North America Machine Learning in Communication Market Size by Country (2019-2024)
6.4.3 North America Machine Learning in Communication Market Size by Country (2025-2030)
6.4.4 U.S.
6.4.5 Canada
7 Europe
7.1 Europe Machine Learning in Communication Market Size (2019-2030)
7.2 Europe Machine Learning in Communication Market Size by Type
7.2.1 Europe Machine Learning in Communication Market Size by Type (2019-2024)
7.2.2 Europe Machine Learning in Communication Market Size by Type (2025-2030)
7.2.3 Europe Machine Learning in Communication Market Share by Type (2019-2030)
7.3 Europe Machine Learning in Communication Market Size by Application
7.3.1 Europe Machine Learning in Communication Market Size by Application (2019-2024)
7.3.2 Europe Machine Learning in Communication Market Size by Application (2025-2030)
7.3.3 Europe Machine Learning in Communication Market Share by Application (2019-2030)
7.4 Europe Machine Learning in Communication Market Size by Country
7.4.1 Europe Machine Learning in Communication Market Size by Country: 2019 VS 2023 VS 2030
7.4.2 Europe Machine Learning in Communication Market Size by Country (2019-2024)
7.4.3 Europe Machine Learning in Communication Market Size by Country (2025-2030)
7.4.3 Germany
7.4.4 France
7.4.5 U.K.
7.4.6 Italy
7.4.7 Russia
7.4.8 Nordic Countries
8 China
8.1 China Machine Learning in Communication Market Size (2019-2030)
8.2 China Machine Learning in Communication Market Size by Type
8.2.1 China Machine Learning in Communication Market Size by Type (2019-2024)
8.2.2 China Machine Learning in Communication Market Size by Type (2025-2030)
8.2.3 China Machine Learning in Communication Market Share by Type (2019-2030)
8.3 China Machine Learning in Communication Market Size by Application
8.3.1 China Machine Learning in Communication Market Size by Application (2019-2024)
8.3.2 China Machine Learning in Communication Market Size by Application (2025-2030)
8.3.3 China Machine Learning in Communication Market Share by Application (2019-2030)
9 Asia (excluding China)
9.1 Asia Machine Learning in Communication Market Size (2019-2030)
9.2 Asia Machine Learning in Communication Market Size by Type
9.2.1 Asia Machine Learning in Communication Market Size by Type (2019-2024)
9.2.2 Asia Machine Learning in Communication Market Size by Type (2025-2030)
9.2.3 Asia Machine Learning in Communication Market Share by Type (2019-2030)
9.3 Asia Machine Learning in Communication Market Size by Application
9.3.1 Asia Machine Learning in Communication Market Size by Application (2019-2024)
9.3.2 Asia Machine Learning in Communication Market Size by Application (2025-2030)
9.3.3 Asia Machine Learning in Communication Market Share by Application (2019-2030)
9.4 Asia Machine Learning in Communication Market Size by Region
9.4.1 Asia Machine Learning in Communication Market Size by Region: 2019 VS 2023 VS 2030
9.4.2 Asia Machine Learning in Communication Market Size by Region (2019-2024)
9.4.3 Asia Machine Learning in Communication Market Size by Region (2025-2030)
9.4.4 Japan
9.4.5 South Korea
9.4.6 China Taiwan
9.4.7 Southeast Asia
9.4.8 India
9.4.9 Australia
10 Middle East, Africa, and Latin America
10.1 Middle East, Africa, and Latin America Machine Learning in Communication Market Size (2019-2030)
10.2 Middle East, Africa, and Latin America Machine Learning in Communication Market Size by Type
10.2.1 Middle East, Africa, and Latin America Machine Learning in Communication Market Size by Type (2019-2024)
10.2.2 Middle East, Africa, and Latin America Machine Learning in Communication Market Size by Type (2025-2030)
10.2.3 Middle East, Africa, and Latin America Machine Learning in Communication Market Share by Type (2019-2030)
10.3 Middle East, Africa, and Latin America Machine Learning in Communication Market Size by Application
10.3.1 Middle East, Africa, and Latin America Machine Learning in Communication Market Size by Application (2019-2024)
10.3.2 Middle East, Africa, and Latin America Machine Learning in Communication Market Size by Application (2025-2030)
10.3.3 Middle East, Africa, and Latin America Machine Learning in Communication Market Share by Application (2019-2030)
10.4 Middle East, Africa, and Latin America Machine Learning in Communication Market Size by Country
10.4.1 Middle East, Africa, and Latin America Machine Learning in Communication Market Size by Country: 2019 VS 2023 VS 2030
10.4.2 Middle East, Africa, and Latin America Machine Learning in Communication Market Size by Country (2019-2024)
10.4.3 Middle East, Africa, and Latin America Machine Learning in Communication Market Size by Country (2025-2030)
10.4.4 Brazil
10.4.5 Mexico
10.4.6 Turkey
10.4.7 Saudi Arabia
10.4.8 Israel
10.4.9 GCC Countries
11 Key Players Profiles
11.1 Amazon
11.1.1 Amazon Company Details
11.1.2 Amazon Business Overview
11.1.3 Amazon Machine Learning in Communication Introduction
11.1.4 Amazon Revenue in Machine Learning in Communication Business (2019-2024)
11.1.5 Amazon Recent Developments
11.2 IBM
11.2.1 IBM Company Details
11.2.2 IBM Business Overview
11.2.3 IBM Machine Learning in Communication Introduction
11.2.4 IBM Revenue in Machine Learning in Communication Business (2019-2024)
11.2.5 IBM Recent Developments
11.3 Microsoft
11.3.1 Microsoft Company Details
11.3.2 Microsoft Business Overview
11.3.3 Microsoft Machine Learning in Communication Introduction
11.3.4 Microsoft Revenue in Machine Learning in Communication Business (2019-2024)
11.3.5 Microsoft Recent Developments
11.4 Google
11.4.1 Google Company Details
11.4.2 Google Business Overview
11.4.3 Google Machine Learning in Communication Introduction
11.4.4 Google Revenue in Machine Learning in Communication Business (2019-2024)
11.4.5 Google Recent Developments
11.5 Nextiva
11.5.1 Nextiva Company Details
11.5.2 Nextiva Business Overview
11.5.3 Nextiva Machine Learning in Communication Introduction
11.5.4 Nextiva Revenue in Machine Learning in Communication Business (2019-2024)
11.5.5 Nextiva Recent Developments
11.6 Nexmo
11.6.1 Nexmo Company Details
11.6.2 Nexmo Business Overview
11.6.3 Nexmo Machine Learning in Communication Introduction
11.6.4 Nexmo Revenue in Machine Learning in Communication Business (2019-2024)
11.6.5 Nexmo Recent Developments
11.7 Twilio
11.7.1 Twilio Company Details
11.7.2 Twilio Business Overview
11.7.3 Twilio Machine Learning in Communication Introduction
11.7.4 Twilio Revenue in Machine Learning in Communication Business (2019-2024)
11.7.5 Twilio Recent Developments
11.8 Dialpad
11.8.1 Dialpad Company Details
11.8.2 Dialpad Business Overview
11.8.3 Dialpad Machine Learning in Communication Introduction
11.8.4 Dialpad Revenue in Machine Learning in Communication Business (2019-2024)
11.8.5 Dialpad Recent Developments
11.9 Cisco
11.9.1 Cisco Company Details
11.9.2 Cisco Business Overview
11.9.3 Cisco Machine Learning in Communication Introduction
11.9.4 Cisco Revenue in Machine Learning in Communication Business (2019-2024)
11.9.5 Cisco Recent Developments
11.10 RingCentral
11.10.1 RingCentral Company Details
11.10.2 RingCentral Business Overview
11.10.3 RingCentral Machine Learning in Communication Introduction
11.10.4 RingCentral Revenue in Machine Learning in Communication Business (2019-2024)
11.10.5 RingCentral Recent Developments
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details
Amazon
IBM
Microsoft
Google
Nextiva
Nexmo
Twilio
Dialpad
Cisco
RingCentral
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听
*If Applicable.
