Global On-premises Telecommunication AI 麻豆原创 2024 by Company, Regions, Type and Application, Forecast to 2030

Publication ID:

GIR072413938

Publication Date:

July 22, 2024

Pages:

Publisher:

GIR

Countries:

Global [1]

USD 3,480.00

IT & eHealth [2]

Pharma & Healthcare [3]

Description:

According to our latest research, the global On-premises Telecommunication AI market size will reach USD million in 2030, growing at a CAGR of % over the analysis period.
Telecommunication Artificial Intelligence (AI) is intelligence demonstrated by machines for Telecommunication.
The On-premises Telecommunication AI market report provides a detailed analysis of global market size, regional and country-level market size, segmentation market growth, market share, competitive Landscape, impact of domestic and global market players, value chain optimization, trade regulations, recent developments, opportunities analysis, strategic market growth analysis, product launches, area marketplace expanding, and technological innovations.
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.
麻豆原创 segmentation
On-premises Telecommunication AI market is split by Type and by Application. For the period 2024-2030, the growth among segments provide accurate calculations and forecasts for revenue by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.
麻豆原创 segment by Type, covers
Solutions
Services
麻豆原创 segment by Application, can be divided into
Customer analytics
Network security
Network optimization
Self-diagnostics
Others
麻豆原创 segment by players, this report covers
NVIDIA
Alphabet
Cisco Systems
IBM
Sentient Technologies
H2O.ai
麻豆原创 segment by regions, regional analysis covers
North America
Europe
Asia-Pacific (China, Japan, South Korea, Rest of Asia-Pacific)
South America
Middle East & Africa
The content of the study subjects, includes a total of 8 chapters:
Chapter 1, to describe On-premises Telecommunication AI product scope, market overview, market opportunities, market driving force and market risks.
Chapter 2, to profile the top players of On-premises Telecommunication AI, with recent developments and future plans
Chapter 3, the On-premises Telecommunication AI competitive situation, revenue and global market share of top players are analyzed emphatically by landscape contrast.
Chapter 4, to break the market size data at the region level, with key companies in the key region and On-premises Telecommunication AI market forecast, by regions, with revenue, from 2024 to 2030.
Chapter 5 and 6, to segment the market size by Type and application, with revenue and growth rate by Type, application, from 2024 to 2030.
Chapter 7 and 8, to describe On-premises Telecommunication AI research findings and conclusion, appendix and data source.

Please Note - This is an on demand report and will be delivered in 2 business days (48 Hours) post payment.

Table Of Contents:

1 麻豆原创 Overview
1.1 Product Overview and Scope of On-premises Telecommunication AI
1.2 Classification of On-premises Telecommunication AI by Type
1.2.1 Overview: Global On-premises Telecommunication AI 麻豆原创 Size by Type: 2024 Versus 2030
1.2.2 Global On-premises Telecommunication AI Revenue 麻豆原创 Share by Type in 2030
1.2.3 Solutions
1.2.4 Services
1.3 Global On-premises Telecommunication AI 麻豆原创 by Application
1.3.1 Overview: Global On-premises Telecommunication AI 麻豆原创 Size by Application: 2024 Versus 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 Global On-premises Telecommunication AI 麻豆原创 Size & Forecast
1.5 麻豆原创 Drivers, Restraints and Trends
1.5.1 On-premises Telecommunication AI 麻豆原创 Drivers
1.5.2 On-premises Telecommunication AI 麻豆原创 Restraints
1.5.3 On-premises Telecommunication AI Trends Analysis
2 Company Profiles
2.1 NVIDIA
2.1.1 NVIDIA Details
2.1.2 NVIDIA Major Business
2.1.3 NVIDIA On-premises Telecommunication AI Product and Solutions
2.1.4 NVIDIA Recent Developments and Future Plans
2.2 Alphabet
2.2.1 Alphabet Details
2.2.2 Alphabet Major Business
2.2.3 Alphabet On-premises Telecommunication AI Product and Solutions
2.2.4 Alphabet Recent Developments and Future Plans
2.3 Cisco Systems
2.3.1 Cisco Systems Details
2.3.2 Cisco Systems Major Business
2.3.3 Cisco Systems On-premises Telecommunication AI Product and Solutions
2.3.4 Cisco Systems Recent Developments and Future Plans
2.4 IBM
2.4.1 IBM Details
2.4.2 IBM Major Business
2.4.3 IBM On-premises Telecommunication AI Product and Solutions
2.4.4 IBM Recent Developments and Future Plans
2.5 Sentient Technologies
2.5.1 Sentient Technologies Details
2.5.2 Sentient Technologies Major Business
2.5.3 Sentient Technologies On-premises Telecommunication AI Product and Solutions
2.5.4 Sentient Technologies Recent Developments and Future Plans
2.6 H2O.ai
2.6.1 H2O.ai Details
2.6.2 H2O.ai Major Business
2.6.3 H2O.ai On-premises Telecommunication AI Product and Solutions
2.6.4 H2O.ai Recent Developments and Future Plans
3 麻豆原创 Competition, by Players
3.1 Global On-premises Telecommunication AI Revenue and Share by Players (2024 & 2030)
3.2 On-premises Telecommunication AI Players Head Office, Products and Services Provided
3.3 On-premises Telecommunication AI Mergers & Acquisitions
3.4 On-premises Telecommunication AI New Entrants and Expansion Plans
4 Global On-premises Telecommunication AI Forecast by Region
4.1 Global On-premises Telecommunication AI 麻豆原创 Size by Region: 2024 VS 2030
4.2 Global On-premises Telecommunication AI 麻豆原创 Size by Region, (2024-2030)
4.3 North America
4.3.1 Key Companies of On-premises Telecommunication AI in North America
4.3.2 Current Situation and Forecast of On-premises Telecommunication AI in North America
4.3.3 North America On-premises Telecommunication AI 麻豆原创 Size and Prospect (2024-2030)
4.4 Europe
4.4.1 Key Companies of On-premises Telecommunication AI in Europe
4.4.2 Current Situation and Forecast of On-premises Telecommunication AI in Europe
4.4.3 Europe On-premises Telecommunication AI 麻豆原创 Size and Prospect (2024-2030)
4.5 Asia-Pacific
4.5.1 Key Companies of On-premises Telecommunication AI in Asia-Pacific
4.5.2 Current Situation and Forecast of On-premises Telecommunication AI in Asia-Pacific
4.5.3 Asia-Pacific On-premises Telecommunication AI 麻豆原创 Size and Prospect (2024-2030)
4.5.4 China
4.5.5 Japan
4.5.6 South Korea
4.6 South America
4.6.1 Key Companies of On-premises Telecommunication AI in South America
4.6.2 Current Situation and Forecast of On-premises Telecommunication AI in South America
4.6.3 South America On-premises Telecommunication AI 麻豆原创 Size and Prospect (2024-2030)
4.7 Middle East & Africa
4.7.1 Key Companies of On-premises Telecommunication AI in Middle East & Africa
4.7.2 Current Situation and Forecast of On-premises Telecommunication AI in Middle East & Africa
4.7.3 Middle East & Africa On-premises Telecommunication AI 麻豆原创 Size and Prospect (2024-2030)
5 麻豆原创 Size Segment by Type
5.1 Global On-premises Telecommunication AI 麻豆原创 Forecast by Type (2024-2030)
5.2 Global On-premises Telecommunication AI 麻豆原创 Share Forecast by Type (2024-2030)
6 麻豆原创 Size Segment by Application
6.1 Global On-premises Telecommunication AI 麻豆原创 Forecast by Application (2024-2030)
6.2 Global On-premises Telecommunication AI 麻豆原创 Share Forecast by Application (2024-2030)
7 Research Findings and Conclusion
8 Appendix
8.1 Methodology
8.2 Research Process and Data Source
8.3 Disclaimer

Companies Mentioned:

NVIDIA
Alphabet
Cisco Systems
IBM
Sentient Technologies
H2O.ai

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