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.
As telecom companies are adopting technologies like virtualization, SDN-NFV, orchestration; Artificial Intelligence is going to play a big role in smooth integration of these technologies and automating the networks. Using AI and data analytics, operators will be able to identify and push various services to the customers at the right time, for e.g. – in case of post-paid customers, operators must encourage high speed data services and offer tailored data packs when subscriber is running low on data.
31.5% of the telecommunication organizations are primarily focusing to leverage existing investments/infrastructure and rest 63.5% are making new technology investments for AI systems and these continue to be global trends.
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 16.19%, 15.00% and 10.81% in 2017.
Geographically, the United States dominated the global AI in Telecommunication market in 2017 and accounted for around 28.9% share of the total market in the same year. Further, the Asia-Pacific region with major markets such as Japan and China is expected to record explosive growth as compared to other regions in later years of the forecast period.
In 2018, the global AI In Telecommunication market size was 340 million US$ and it is expected to reach 5640 million US$ by the end of 2025, with a CAGR of 41.9% during 2019-2025.

This report focuses on the global AI In Telecommunication status, future forecast, growth opportunity, key market and key players. The study objectives are to present the AI In Telecommunication development in United States, Europe and China.

The key players covered in this study
IBM
Microsoft
Intel
AT&T
Cisco Systems
Nuance Communications
H2O.ai
Salesforce
Nvidia

Market segment by Type, the product can be split into
Solutions
Services

Market segment by Application, split into
Network Optimization
Network Security
Customer Analytics
Others

Market segment by Regions/Countries, this report covers
United States
Europe
China
Japan
Southeast Asia
India
Central & South America

The study objectives of this report are:
To analyze global AI In Telecommunication status, future forecast, growth opportunity, key market and key players.
To present the AI In Telecommunication development in United States, Europe and China.
To strategically profile the key players and comprehensively analyze their development plan and strategies.
To define, describe and forecast the market by product type, market and key regions.

In this study, the years considered to estimate the market size of AI In Telecommunication are as follows:
History Year: 2014-2018
Base Year: 2018
Estimated Year: 2019
Forecast Year 2019 to 2025
For the data information by region, company, type and application, 2018 is considered as the base year. Whenever data information was unavailable for the base year, the prior year has been considered.