AITelecommunication Market

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.

AITelecommunication Market 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.
AITelecommunication Market 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. AITelecommunication Market 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.

• Machine Learning and Deep Learning
• Natural Language Processing

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

• North America
• US
• Canada
• Mexico
• Europe
• Germany
• France
• U.K.
• Italy
• Russia
• Nordic Countries
• Benelux
• Rest of Europe
• Asia
• China
• Japan
• South Korea
• Southeast Asia
• India
• Rest of Asia
• South America
• Brazil
• Argentina
• Rest of South America
• Middle East & Africa
• Turkey
• Israel
• Saudi Arabia
• UAE
• Rest of Middle East & Africa

• 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

Outline of Major Chapters:
Chapter 1: Introduces the definition of AI in Telecommunication, market overview.
Chapter 2: Global AI in Telecommunication market size in revenue.
Chapter 3: Detailed analysis of AI in Telecommunication company competitive landscape, revenue and 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: Sales of AI in Telecommunication in regional level and country 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 of each country in the world.
Chapter 7: 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 8: The main points and conclusions of the report.