Global AI In Telecommunication Market 2023 by Company, Regions, Type and Application, Forecast to 2029

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ﾒs goals and limits are set by designers, and the networkﾒ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.
According to our (Global Info Research) latest study, the global AI In Telecommunication market size was valued at USD 1772.9 million in 2022 and is forecast to a readjusted size of USD 17640 million by 2029 with a CAGR of 38.9% during review period. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
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.
This report is a detailed and comprehensive analysis for global AI In Telecommunication market. Both quantitative and qualitative analyses are presented by company, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2023, are provided.
Key Features:
Global AI In Telecommunication market size and forecasts, in consumption value ($ Million), 2018-2029
Global AI In Telecommunication market size and forecasts by region and country, in consumption value ($ Million), 2018-2029
Global AI In Telecommunication market size and forecasts, by Type and by Application, in consumption value ($ Million), 2018-2029
Global AI In Telecommunication market shares of main players, in revenue ($ Million), 2018-2023
The Primary Objectives in This Report Are:
To determine the size of the total market opportunity of global and key countries
To assess the growth potential for AI In Telecommunication
To forecast future growth in each product and end-use market
To assess competitive factors affecting the marketplace
This report profiles key players in the global AI In Telecommunication market based on the following parameters - company overview, production, value, price, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include IBM, Microsoft, Intel, AT&T and Cisco Systems, etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals, COVID-19 and Russia-Ukraine War Influence.
Market segmentation
AI In Telecommunication market is split by Type and by Application. For the period 2018-2029, the growth among segments provide accurate calculations and forecasts for consumption value by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.
Market segment by Type
    Solutions
    Services
Market segment by Application
    Network Optimization
    Network Security
    Customer analytics
    Others
Market segment by players, this report covers
    IBM
    Microsoft
    Intel
    AT&T
    Cisco Systems
    Nuance Communications
    H2O.ai
    Salesforce
    Nvidia
Market segment by regions, regional analysis covers
    North America (United States, Canada, and Mexico)
    Europe (Germany, France, UK, Russia, Italy, and Rest of Europe)
    Asia-Pacific (China, Japan, South Korea, India, Southeast Asia, Australia and Rest of Asia-Pacific)
    South America (Brazil, Argentina and Rest of South America)
    Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)
The content of the study subjects, includes a total of 13 chapters:
Chapter 1, to describe AI In Telecommunication product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of AI In Telecommunication, with revenue, gross margin and global market share of AI In Telecommunication from 2018 to 2023.
Chapter 3, the AI In Telecommunication competitive situation, revenue and global market share of top players are analyzed emphatically by landscape contrast.
Chapter 4 and 5, to segment the market size by Type and application, with consumption value and growth rate by Type, application, from 2018 to 2029.
Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2018 to 2023.and AI In Telecommunication market forecast, by regions, type and application, with consumption value, from 2024 to 2029.
Chapter 11, market dynamics, drivers, restraints, trends, Porters Five Forces analysis, and Influence of COVID-19 and Russia-Ukraine War
Chapter 12, the key raw materials and key suppliers, and industry chain of AI In Telecommunication.
Chapter 13, to describe AI In Telecommunication research findings and conclusion.