The global AI In Telecommunication market size is predicted to grow from US$ 3315 million in 2025 to US$ 27310 million in 2031; it is expected to grow at a CAGR of 42.1% from 2025 to 2031.
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.
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.
LPI (LP Information)' newest research report, the “AI In Telecommunication Industry Forecast” looks at past sales and reviews total world AI In Telecommunication sales in 2024, providing a comprehensive analysis by region and market sector of projected AI In Telecommunication sales for 2025 through 2031. With AI In Telecommunication sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world AI In Telecommunication industry.
This Insight Report provides a comprehensive analysis of the global AI In Telecommunication landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyses the strategies of leading global companies with a focus on AI In Telecommunication portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global AI In Telecommunication market.
This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for AI In Telecommunication and breaks down the forecast by Type, by Application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global AI In Telecommunication.
This report presents a comprehensive overview, market shares, and growth opportunities of AI In Telecommunication market by product type, application, key players and key regions and countries.
Segmentation by Type:
Solutions
Services
Segmentation by Application:
Network Optimization
Network Security
Customer analytics
Others
This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries
The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
IBM
Microsoft
Intel
AT&T
Cisco Systems
Nuance Communications
H2O.ai
Salesforce
Nvidia
Please note: The report will take approximately 2 business days to prepare and deliver.
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