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The global AI in Telecommunication market was valued at US$ 1772.9 million in 2022 and is projected to reach US$ 7537.4 million by 2029, at a CAGR of 23.0% during the forecast period. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.

The USA market for Global AI in Telecommunication market is estimated to increase from USD million in 2022 to reach USD million by 2030, at a CAGR during the forecast period of 2023 through 2030.

The China market for Global AI in Telecommunication market is estimated to increase from USD million in 2022 to reach USD million by 2030, at a CAGR during the forecast period of 2023 through 2030.

The Europe market for Global AI in Telecommunication market is estimated to increase from USD million in 2022 to reach USD million by 2030, at a CAGR during the forecast period of 2023 through 2030.

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 networks goals and limits are set by designers, and the networks 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.

This report aims to provide a comprehensive presentation of the global market for AI in Telecommunication, 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 AI in Telecommunication. This report contains market size and forecasts of AI in Telecommunication in global, including the following market information:

• Global AI in Telecommunication Market Revenue, 2018-2023, 2024-2029, ($ millions)
• Global top five companies in 2022 (%)

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.
We surveyed the AI in Telecommunication companies, and industry experts on this industry, involving the revenue, demand, product type, recent developments and plans, industry trends, drivers, challenges, obstacles, and potential risks.

Total Market by Segment:

• Machine Learning and Deep Learning
• Natural Language Processing

• Customer Analytics
• Network Security
• Network Optimization
• Self-Diagnostics
• Virtual Assistance
• Others

• North America (United States, Canada, Mexico)
• Europe (Germany, France, United Kingdom, Italy, Spain, Rest of Europe)
• Asia-Pacific (China, India, Japan, South Korea, Australia, Rest of APAC)
• The Middle East and Africa (Middle East, Africa)
• South and Central America (Brazil, Argentina, Rest of SCA)

Competitor Analysis

• Key companies AI in Telecommunication revenues in global market, 2018-2023 (estimated), ($ millions)
• Key companies AI in Telecommunication revenues share in global market, 2022 (%)

• IBM
• Microsoft
• Intel
• Google
• AT&T
• Cisco Systems
• Nuance Communications
• Sentient Technologies
• H2O.ai
• Infosys
• Salesforce
• Nvidia