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AI in Telecommunication Market

AI in Telecommunication Market : Global Industry Analysis 2016 - 2020 and Opportunity Assessment 2021 - 2031

Market Insights on AI in Telecommunication covering sales outlook, demand forecast & up-to-date key trends

AI in Telecommunication Market Introduction

Telecommunication industry is one of the fastest growing industry that use artificial intelligence in many aspects for their business including network reliability, improving customer experience.

Telecom companies are using AI mostly for customer service applications like use of virtual assistant for addressing support request for installation, troubleshooting and maintenance and automate responses to support claims.

AI in Telecommunication Market Forecast and CAGR

According to latest research, AI in Telecommunication market is estimated to reach around 12 Bn in 2031 with an expected CAGR of 35%. Factors like utilization of AI-enabled smartphones and adoption of AI for various telecommunication applications are driving the demand for AI in telecommunication.

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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.

Machine learning addresses almost 15Mn alarms per day and restore services before customer notice the outage. Telecom companies are using drones for expanding their LTE network coverage and for utilize the data captured by drones for infrastructure maintenance of cell towers and technical support.

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.

Nikhil Kaitwade
Principal Consultant
LinkedIn
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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.

Who are the Key Providers of AI in Telecommunication?

Some of the leading AI in Telecommunication providers include

  • Microsoft
  • IBM
  • Intel
  • Cisco
  • Google
  • AT&T
  • H2O.ai
  • Salesforce
  • NVIDIA
  • Sentient Technologies
  • Nuance Communications among others.

These vendors have adopted various key strategies, to enhance the customer base globally and locally. Companies are also spending millions of dollars into product R&D to fulfill the unmet needs of their customers. Furthermore, many companies are focusing on inorganic strategies by acquiring small and mid-sized organizations present in this market.  

The report is a compilation of first-hand information, qualitative and quantitative assessment by industry analysts, inputs from industry experts and industry participants across the value chain. The report provides in-depth analysis of parent market trends, macro-economic indicators and governing factors along with market attractiveness as per segments. The report also maps the qualitative impact of various market factors on market segments and geographies.

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Key Segments

By Solution:

  • AI Platform
  • Services
    • Professional Services
    • Managed Services

By Deployment:

  • Cloud-based
  • On-premises

By Application:

  • Network Security
  • Network Optimization
  • Customer Analytics
  • Virtual Assistance
  • Others

By Region:

  • North America
    • US
    • Canada
  • Latin America
    • Brazil
    • Mexico
    • Rest of Latin America
  • Europe
    • UK
    • France
    • Germany
    • Italy
    • Spain
    • BENELUX
    • Russia
    • Rest of Europe
  • East Asia
    • China
    • Japan
    • South Korea
  • South Asia & Pacific
    • India
    • Thailand
    • Indonesia
    • Malaysia
    • Australia & New Zealand
    • Rest of South Asia & Pacific
  • Middle East & Africa
    • GCC Countries
    • Turkey
    • South Africa
    • Rest of Middle East and Africa 
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Nikhil Kaitwade
Principal Consultant
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AI in Telecommunication Market