AI in Telecommunication Market - Increasing Utilization of AI-Embedded Smartphones And Growing Adoption of AI Solutions

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.

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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.

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. For instance, the Chinese government is trying to improve the telecommunication sector and provide better solutions for network services. China Telecom Corporation is establishing a new 5G base station in Lanzhou city which is the largest and capital city of Gansu province in northwest China, to expand the 5G network.

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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.

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