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Global On-premises Telecommunication AI Market Research Report 2024
Synopsis
Telecommunication Artificial Intelligence (AI) is intelligence demonstrated by machines for Telecommunication.
The global On-premises Telecommunication AI market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of % during the forecast period 2024-2030.
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.
This report aims to provide a comprehensive presentation of the global market for On-premises Telecommunication AI, 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 On-premises Telecommunication AI.
Report Scope
The On-premises Telecommunication AI market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global On-premises Telecommunication AI market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the On-premises Telecommunication AI companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
NVIDIA
Alphabet
Cisco Systems
IBM
Sentient Technologies
H2O.ai
Segment by Type
Solutions
Services
Segment by Application
Customer analytics
Network security
Network optimization
Self-diagnostics
Others
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by 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: Introduces executive summary of global market size, regional market size, 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 On-premises Telecommunication AI companies’ competitive landscape, revenue 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, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. 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.
Chapter 11: 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 12: The main points and conclusions of the report.
Telecommunication Artificial Intelligence (AI) is intelligence demonstrated by machines for Telecommunication.
The global On-premises Telecommunication AI market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of % during the forecast period 2024-2030.
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.
This report aims to provide a comprehensive presentation of the global market for On-premises Telecommunication AI, 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 On-premises Telecommunication AI.
Report Scope
The On-premises Telecommunication AI market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global On-premises Telecommunication AI market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the On-premises Telecommunication AI companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
NVIDIA
Alphabet
Cisco Systems
IBM
Sentient Technologies
H2O.ai
Segment by Type
Solutions
Services
Segment by Application
Customer analytics
Network security
Network optimization
Self-diagnostics
Others
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by 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: Introduces executive summary of global market size, regional market size, 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 On-premises Telecommunication AI companies’ competitive landscape, revenue 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, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. 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.
Chapter 11: 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 12: The main points and conclusions of the report.
Index1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global On-premises Telecommunication AI Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Solutions
1.2.3 Services
1.3 Market by Application
1.3.1 Global On-premises Telecommunication AI Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Customer analytics
1.3.3 Network security
1.3.4 Network optimization
1.3.5 Self-diagnostics
1.3.6 Others
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global On-premises Telecommunication AI Market Perspective (2019-2030)
2.2 On-premises Telecommunication AI Growth Trends by Region
2.2.1 Global On-premises Telecommunication AI Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 On-premises Telecommunication AI Historic Market Size by Region (2019-2024)
2.2.3 On-premises Telecommunication AI Forecasted Market Size by Region (2025-2030)
2.3 On-premises Telecommunication AI Market Dynamics
2.3.1 On-premises Telecommunication AI Industry Trends
2.3.2 On-premises Telecommunication AI Market Drivers
2.3.3 On-premises Telecommunication AI Market Challenges
2.3.4 On-premises Telecommunication AI Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top On-premises Telecommunication AI Players by Revenue
3.1.1 Global Top On-premises Telecommunication AI Players by Revenue (2019-2024)
3.1.2 Global On-premises Telecommunication AI Revenue Market Share by Players (2019-2024)
3.2 Global On-premises Telecommunication AI Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by On-premises Telecommunication AI Revenue
3.4 Global On-premises Telecommunication AI Market Concentration Ratio
3.4.1 Global On-premises Telecommunication AI Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by On-premises Telecommunication AI Revenue in 2023
3.5 On-premises Telecommunication AI Key Players Head office and Area Served
3.6 Key Players On-premises Telecommunication AI Product Solution and Service
3.7 Date of Enter into On-premises Telecommunication AI Market
3.8 Mergers & Acquisitions, Expansion Plans
4 On-premises Telecommunication AI Breakdown Data by Type
4.1 Global On-premises Telecommunication AI Historic Market Size by Type (2019-2024)
4.2 Global On-premises Telecommunication AI Forecasted Market Size by Type (2025-2030)
5 On-premises Telecommunication AI Breakdown Data by Application
5.1 Global On-premises Telecommunication AI Historic Market Size by Application (2019-2024)
5.2 Global On-premises Telecommunication AI Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America On-premises Telecommunication AI Market Size (2019-2030)
6.2 North America On-premises Telecommunication AI Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America On-premises Telecommunication AI Market Size by Country (2019-2024)
6.4 North America On-premises Telecommunication AI Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe On-premises Telecommunication AI Market Size (2019-2030)
7.2 Europe On-premises Telecommunication AI Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe On-premises Telecommunication AI Market Size by Country (2019-2024)
7.4 Europe On-premises Telecommunication AI Market Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific On-premises Telecommunication AI Market Size (2019-2030)
8.2 Asia-Pacific On-premises Telecommunication AI Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific On-premises Telecommunication AI Market Size by Region (2019-2024)
8.4 Asia-Pacific On-premises Telecommunication AI Market Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America On-premises Telecommunication AI Market Size (2019-2030)
9.2 Latin America On-premises Telecommunication AI Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America On-premises Telecommunication AI Market Size by Country (2019-2024)
9.4 Latin America On-premises Telecommunication AI Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa On-premises Telecommunication AI Market Size (2019-2030)
10.2 Middle East & Africa On-premises Telecommunication AI Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa On-premises Telecommunication AI Market Size by Country (2019-2024)
10.4 Middle East & Africa On-premises Telecommunication AI Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 NVIDIA
11.1.1 NVIDIA Company Detail
11.1.2 NVIDIA Business Overview
11.1.3 NVIDIA On-premises Telecommunication AI Introduction
11.1.4 NVIDIA Revenue in On-premises Telecommunication AI Business (2019-2024)
11.1.5 NVIDIA Recent Development
11.2 Alphabet
11.2.1 Alphabet Company Detail
11.2.2 Alphabet Business Overview
11.2.3 Alphabet On-premises Telecommunication AI Introduction
11.2.4 Alphabet Revenue in On-premises Telecommunication AI Business (2019-2024)
11.2.5 Alphabet Recent Development
11.3 Cisco Systems
11.3.1 Cisco Systems Company Detail
11.3.2 Cisco Systems Business Overview
11.3.3 Cisco Systems On-premises Telecommunication AI Introduction
11.3.4 Cisco Systems Revenue in On-premises Telecommunication AI Business (2019-2024)
11.3.5 Cisco Systems Recent Development
11.4 IBM
11.4.1 IBM Company Detail
11.4.2 IBM Business Overview
11.4.3 IBM On-premises Telecommunication AI Introduction
11.4.4 IBM Revenue in On-premises Telecommunication AI Business (2019-2024)
11.4.5 IBM Recent Development
11.5 Sentient Technologies
11.5.1 Sentient Technologies Company Detail
11.5.2 Sentient Technologies Business Overview
11.5.3 Sentient Technologies On-premises Telecommunication AI Introduction
11.5.4 Sentient Technologies Revenue in On-premises Telecommunication AI Business (2019-2024)
11.5.5 Sentient Technologies Recent Development
11.6 H2O.ai
11.6.1 H2O.ai Company Detail
11.6.2 H2O.ai Business Overview
11.6.3 H2O.ai On-premises Telecommunication AI Introduction
11.6.4 H2O.ai Revenue in On-premises Telecommunication AI Business (2019-2024)
11.6.5 H2O.ai Recent Development
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
Published By : QY Research
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