Global AI In Telecommunication Sales Market Report 2023
SKU ID : QYR-22289514 | Publishing Date : 02-Jan-2023 | No. of pages : 112
Market Analysis and Insights: Global AI In Telecommunication Market
This report studies the AI in Telecommunication market, There are a number of different AI technologies that may be useful in telecoms.
These include:
Self-optimising networks (SON), where the network’s goals and limits are set by designers, and the network’s control software works within those boundaries to make the network as efficient as possible;
Deep neural networks may enable machines perform human like tasks, allowing them to help digitalizing the business and providing better customer engagement;
Software defined networks (SDN) and Network Function Virtualisation (NFV) will increase the diversity of possible traffic through the network. Both services and bundles will be able to become more sophisticated, with customers even able to interact with the services behind the network.
Due to the COVID-19 pandemic, the global AI In Telecommunication market size is estimated to be worth US$ 1723 million in 2022 and is forecast to a readjusted size of US$ 19170 million by 2029 with a CAGR of 40.6% during the forecast period 2023-2029. Fully considering the economic change by this health crisis, Solutions accounting for % of the AI In Telecommunication global market in 2022, is projected to value US$ million by 2029, growing at a revised % CAGR from 2023 to 2029. While Network Optimization segment is altered to an % CAGR throughout this forecast period.
At present, in developed countries, AI in Telecommunication is generally at a more advanced level. The world's top vendors are mainly concentrated in US. The top three manufacturers are IBM, Microsoft and Intel, respectively with global market share as 16%, 15% and 10%.
Geographically, the United States dominated the global AI in Telecommunication market and accounted for around 28% share of the total market in the same year.
Global AI In Telecommunication Scope and Market Size
The global AI In Telecommunication market is segmented by company, region (country), by Type and by Application. Players, stakeholders, and other participants in the global AI In Telecommunication market will be able to gain the upper hand as they use the report as a powerful resource. The segmental analysis focuses on sales, revenue and forecast by region (country), by Type and by Application for the period 2018-2029.
Segment by Type
Solutions
Services
Segment by Application
Network Optimization
Network Security
Customer analytics
Others
By Region
United States
Europe
China
Japan
Southeast Asia
India
Other Regions
By Company
IBM
Microsoft
Intel
AT&T
Cisco Systems
Nuance Communications
H2O.ai
Salesforce
Nvidia
This report studies the AI in Telecommunication market, There are a number of different AI technologies that may be useful in telecoms.
These include:
Self-optimising networks (SON), where the network’s goals and limits are set by designers, and the network’s control software works within those boundaries to make the network as efficient as possible;
Deep neural networks may enable machines perform human like tasks, allowing them to help digitalizing the business and providing better customer engagement;
Software defined networks (SDN) and Network Function Virtualisation (NFV) will increase the diversity of possible traffic through the network. Both services and bundles will be able to become more sophisticated, with customers even able to interact with the services behind the network.
Due to the COVID-19 pandemic, the global AI In Telecommunication market size is estimated to be worth US$ 1723 million in 2022 and is forecast to a readjusted size of US$ 19170 million by 2029 with a CAGR of 40.6% during the forecast period 2023-2029. Fully considering the economic change by this health crisis, Solutions accounting for % of the AI In Telecommunication global market in 2022, is projected to value US$ million by 2029, growing at a revised % CAGR from 2023 to 2029. While Network Optimization segment is altered to an % CAGR throughout this forecast period.
At present, in developed countries, AI in Telecommunication is generally at a more advanced level. The world's top vendors are mainly concentrated in US. The top three manufacturers are IBM, Microsoft and Intel, respectively with global market share as 16%, 15% and 10%.
Geographically, the United States dominated the global AI in Telecommunication market and accounted for around 28% share of the total market in the same year.
Global AI In Telecommunication Scope and Market Size
The global AI In Telecommunication market is segmented by company, region (country), by Type and by Application. Players, stakeholders, and other participants in the global AI In Telecommunication market will be able to gain the upper hand as they use the report as a powerful resource. The segmental analysis focuses on sales, revenue and forecast by region (country), by Type and by Application for the period 2018-2029.
Segment by Type
Solutions
Services
Segment by Application
Network Optimization
Network Security
Customer analytics
Others
By Region
United States
Europe
China
Japan
Southeast Asia
India
Other Regions
By Company
IBM
Microsoft
Intel
AT&T
Cisco Systems
Nuance Communications
H2O.ai
Salesforce
Nvidia
Frequently Asked Questions
This market study covers the global and regional market with an in-depth analysis of the overall growth prospects in the market. Furthermore, it sheds light on the comprehensive competitive landscape of the global market. The report further offers a dashboard overview of leading companies encompassing their successful marketing strategies, market contribution, recent developments in both historic and present contexts.
- By product type
- By End User/Applications
- By Technology
- By Region
The report provides a detailed evaluation of the market by highlighting information on different aspects which include drivers, restraints, opportunities, and threats. This information can help stakeholders to make appropriate decisions before investing.