According to recent research, the AI in Telecommunications industry is predicted to reach over $12 billion by 2031, with a CAGR of 35%. The demand for AI in telecommunication is being driven by factors such as the use of AI-enabled smartphones and the deployment of AI for various telecommunication applications.
What is Driving Demand for AI in Telecommunication?
Demand is increasing for AI-driven predictive analytics as AI-driven predictive analytics is helping the telecom companies in providing better services by utilizing data. AI-driven predictive analytics use the machine learning algorithms and techniques for predicting future results based on past or historical data.
Telecom companies can use the data-driven insights to anticipate failure based on patterns, monitor the state of equipment, and proactively fix problems with communication hardware like power lines, data centers servers, cell towers, and set-up boxes.
AI-driven analytics will help telecom companies to predict the issues and find the root cause of the problem. Also, this technology will underpin more strategic goals like creating new customer experiences and dealing efficiently with emerging business needs. Telecom companies are using machine learning to enhance their end-to-end incident management process by detecting network issues in real-time.
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Robotic Process Automation for Telecommunications
Robotic process automation helps telecom providers to automate the back-end activities and mundane task like data entry, validation, reconciliation, customer support as well as perform cross sell and up-sell by means of AI-powered assisted calls. Robotic process automation application helps in improving efficiency, enhance accuracy, reduce cost and deliver better customer experience.
Robotic process automation provides the telecom companies with power and tools that manages their back-office workflow and deal with huge volume of rule-based and repetitive operational processes. Companies are leveraging robotic process automation capabilities for improving the internal data communication as well as communication with customers.
RPA implementation closes the gap between data sources and access by offering specific data that staff or customer needs. RPA also helps in back up process of customers phone system configurations and manage hundreds of technical tasks for creating a seamless backup system for customers that results in significant time and cost saving. As the telecom industry depends on huge volume of data that is stored in various formats, RPA helps to transform all this data into structured and uniform format and also helps to organize the database.
East Asia AI in Telecommunication Market Outlook
Infrastructure investments is always priority of East Asia region as the telecom sector is witnessing growth with a scope of huge investments in telecom infrastructure.
The governments and public organizations of Japan, China, and South Korea are heavily investing in their telecommunication infrastructure for betterment that, in turn, is driving the AI in telecommunication growth in the region.
Moreover, investments in the telecommunication sector have a high potential to boost economic growth and create employment. 5G technology trend have a significant potential to transform the telecom industry and improve the customer experience. Furthermore, various telecom enterprises in the countries like South Korea, Japan and China have started upgrading their current network infrastructure to LTE advanced and 5G networks and services with high-speed connectivity.
Also companies are heavily investing in artificial and machine learning technology that helps not only to manage, optimize and maintain telecom infrastructure but also the customer support operation as well. Thus, heavy investments for the betterment of telecommunication infrastructure is one of the major factors driving the AI in telecommunication growth.
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Who are the Key Providers of AI in Telecommunication?
Some of the leading AI in Telecommunication providers include
- Microsoft
- IBM
- Intel
- Cisco
Key Segments
By Solution:
- AI Platform
- Services
By Deployment:
- Cloud-based
- On-premises
By Application:
- Network Security
- Network Optimization
- Customer Analytics
- Virtual Assistance
- Others
By Region:
- North America
- Latin America
- Europe
- East Asia
- South Asia & Pacific
- Middle East & Africa
About Future Market Insights (FMI)
Future Market Insights (ESOMAR certified market research organization and a member of Greater New York Chamber of Commerce) provides in-depth insights into governing factors elevating the demand in the market. It discloses opportunities that will favor the market growth in various segments on the basis of Source, Application, Sales Channel and End Use over the next 10-years.
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