Global AI in Telecommunication market is expected to rise on account of increasing number of AI-enabled smartphones.
Also, AI in Telecommunication will help telecom operators to give better service to customers as 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.
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.
Artificial intelligence (AI) is a technology that focuses on creating intelligent machines which are able to imitate human intelligence in processes such as speech recognition, decision making, visual perception, and translation between languages. Telecommunication service providers are focusing more on using simple and easier interface to cater to complex processes or telecom service. In network management, AI is expected to redesign the network and help to manage and secure the network. Technologies that are used in telecommunication industry are machine learning and expert system. The use of machine learning technology is to identify fraudulent calls on mobiles by analyzing the user’s calling pattern or behavior. An expert system is used to manage and configure the local area network. It is also used to control, monitor, and schedule satellite experimenter requests. AI in telecommunication can be more beneficial if operators upgrade their network system to software defined networks (SDN). SDN network is a cloud computing solution that facilitates network management and helps to enhance the efficiency of network configuration. AI for mobile technology works around few applications such as self-optimizing networks, software defined networks, and network function virtualization. Among these, self-optimizing networks enable service providers to optimize the network service quality depending on traffic information by time and region. At present, companies are adopting AI solutions to interact with
their customers in order to improve user experience and reduce the direct human interaction with customers. These solutions also gather customer information and provide a better solution on customer queries. It also identifies potential leads from email and messages and transfers these queries to telecom agents to engage with potential customers.
Increasing utilization of AI-embedded smartphones and growing adoption of AI solutions in various applications are expected to drive the growth of the AI in telecommunication market during the forecast period. Moreover, upgrade with 5G technology in mobile networks is expected to boost AI in telecommunication.
Moreover, growing demand for effective and efficient network management solutions and increasing penetration of AI technology in the telecommunication industry are creating additional revenue opportunities for AI solution providers. However, incompatibility between telecommunication systems and AI technology which leads to integration complexity in these solutions are expected to limit the AI in telecommunication market growth. Telecom industries are expected to adopt AI to provide better customer service communication and personalized user experience which is expected to improve the customer engagement. In the telecom industry, AI acts as a customer service agent which makes this process cost effective for the telecom industry.
In the future years we see many new Telecom use cases where AI will replace traditional procedures currently done with human intervention.
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