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.

The Global AI In Telecommunication Market size was xxx million USD with a CAGR xx % from 2018- 2022. It will stretch to xxx million USD in 2023 with a CAGR of xx % from 2023 - 2030.

As the report focuses on global AI In Telecommunication Market, mainly in Europe and Asia Pacific, North America, Middle East and Africa, and South America. This report segmented the Market on the basis of regions, manufacturers, applications, and type.

in addition, this report introduces Market competition situation among the vendors and company profile, besides, Market price analysis and value chain features are covered in this report.

In Market segmentation by manufacturers, the report covers the following companies-

IBM
Microsoft
Intel
AT&T
Cisco Systems
Nuance Communications
H2O.ai
Salesforce
Nvidia

In Market segmentation by geographical regions, the report has analyzed the following regions-
North America (USA, Canada and Mexico)
Europe (Germany, France, UK, Russia and Italy)
Asia-Pacific (China, Japan, Korea, India and Southeast Asia)
South America (Brazil, Argentina, Columbia etc.)
Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)

In Market segmentation by types covers:

Solutions
Services
In Market segmentation by applications :

Network Optimization
Network Security
Customer Analytics
Others

Apart from the drivers, restraints, and opportunities, the report also offers competitive landscape, including various growth strategies adopted by profiled players for establishing significant position in the industry. The segmentation included in the comprehensive report will help respectable manufacturers to set up their processing units in the regions and increase their global presence. This would also benefit the industry and increase the company\'s product portfolio.

The research provides answers to the following key questions:
• What is the estimated growth rate and Market share and size of the AI In Telecommunication Market for the forecast period 2023 - 2030?
• What are the driving forces in the AI In Telecommunication Market for the forecast period 2023 - 2030?
• Who are the prominent Market players and how have they gained a competitive edge over other competitors?
• What are the Market trends influencing the progress of the AI In Telecommunication industry worldwide?
• What are the major challenges and threats restricting the progress of the industry?
• What opportunities does the Market hold for the prominent Market players?
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Note – In order to provide more accurate market forecast, all our reports will be updated before delivery by considering the impact of COVID-19.

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