AI in Telecommunication Market Top Key Vendors, Segmentation, And Swot Analysis

Artificial intelligence (AI) is an advance technology that has human intelligence and decision making ability. The technology focus on creating intelligent machines with the advanced features like speech recognition, image recognition, visual perception, and translation between languages. The technology has the potential to change the operation and functioning of various industry sector owing to the immense potential it holds to achieve a breakthrough for various ideas. Telecommunication, in particular, has wide scope for the application of Artificial intelligence be it front end, customer service or network performance.

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AI in Telecommunication Market - Key Drivers

Global AI in Telecommunication market is expected to rise on account of increasing number of AI-enabled smartphones. These phones have numerous features such as image recognition, voice recognition, robust security and many as compared to the traditional phones. This is reason it is becoming popular among the users.

Further, application of AI in Telecommunication is beneficial for telecom operator as well. This is because it provide a simpler and easier interface which helps to cater to complex processes or telecom service.

Apart from this, artificial intelligence greatly help in improving efficiency of telecommunication network. As with the help of artificial intelligence and machine learning, the telecommunication network can autonomously act and make a qualified decision to reduce network congestion that is not possible in conventional telecommunication.

Furthermore, the rising need to monitor content on telecommunication network and urge to eliminate human error from the telecommunication networks is the primary factor boosting the growth of the global AI in telecommunication market.

Moreover, advent of 5G technologies in mobile networks will give a great boost to AI in telecommunication market.

However, for the application of AI in telecommunication market operators have to upgrade their traditional network to SDN (Software Defined Networks), this will lead to the deployment of comparatively better cloud-based services and network virtualization