AI in Telecommunication Market Research Report by Forecast to 2023
                     AI in Telecommunication Market Research 
Report By Forecast to 2023
Industry Survey, Growth, Competitive Landscape
and Forecasts to 2023
PREPARED BY
Market Research Future
(Part of Wantstats Research & Media Pvt. Ltd.)
AI in Telecommunication Market 
Market Research Future (MRFR), in its latest “AI in Telecommunication Market” report, states that the global market of AI in 
telecommunication is expected to thrive at a CAGR of 32% during the assessment period (2018 to 2023). The need to simplify 
communication in the world of the digital is a surging need of the hour. This is promoting the adoption of AI-driven solutions by the 
telecom industry. Recently, due to increase in cases of telecommunication breakdown much noise in connectivity and other related 
inconveniences are observed. Hence, this is pressing the need for deploying AI in telecommunication to resolve connectivity issues. As 
per MRFR analysis, the AI in telecommunication market is expected to attain a valuation of about USD 1 billion by 2023.
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AI in Telecommunication Market 
“Taste the market data and market information presented through more than 50 market data tables 
and figures spread in 100 numbers of pages of the project report. Avail the in-depth table of content 
TOC & market synopsis on Internet of AI in Telecommunication Market Forecast To 2023”
Application of AI technology is redefining industrial processes by improving productivity, operational efficacy, cost management, 
automation, providing assistance in making quick decisions. The advent of wireless communication cast a deep impact on the telecom 
industry. While it brings to users a seamless method of communication, the mounting complexities in the technicality of wireless 
connectivity are creating potential opportunities for the market to surge. Another potential driver for the 
AI in Telecommunication Market growth is the growing demand for highly sophisticated and intelligent autonomous network solutions. 
In addition, the growing requirement for data-driven solutions is also expected to propel the AI in telecommunication market. 
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AI in Telecommunication Market 
Regional Analysis
The increase in investment is being made for absorbing technologies, such as AL and big data analytics, in the telecommunication sector 
in the US. This is expected to gain considerable traction for the North America AI telecommunication market. An increase in the adoption 
of AI-driven solutions to enhance operational efficiency is likely to define the telecommunication industry's progress. As per MRFR’s 
findings, the ai in telecom market in North America is expected to generate the highest revenue in the assessment period. Alongside, 
communication solutions providers in the region, such as AT&T, are observed to experiment with AI to bring in the next-gen wireless 
technology. It is likely to favor the regional market growth. 
In Asia Pacific, the market is expected to experience a rapid expansion in the review period. It is due to the rise in funding for research 
and development in the field of AI that can benefit the telecommunication industry. In addition, increase in the adoption of NFV and 
SDN technologies that are dedicated to improving the functioning of enterprises by enabling network to be more powerful, cost-
efficient, flexible and aid in the anomaly detection, network orchestration, predictive maintenance, others.
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AI in Telecommunication Market 
Application & Major Players in this Research:
AI in Telecommunication Market Prominent Players:
• IBM Corporation (US)
• Huawei Technologies Co. Ltd (China), 
• Intel Corporation (US), 
•  Microsoft Corporation (US), 
•  Cisco Systems (US), 
• Infosys Limited (India)
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AI in Telecommunication Market 
AI in Telecommunication Market Segmented on the basis of
Segment:
• By component, the market is sectioned into services and solutions. 
• The solution segment is further sub-segmented into network security, network optimization, NFV (network function 
virtualization), SDN (software-defined network), and others. The services segment is sub-segmented into managed services and 
professional service. 
• By deployment mode, the market is segmented into and on-premise and cloud. 
• By technology, the market is classified into machine learning (ML), deep learning (DL), and natural language processing 
(NLP). 
• By application, the market is segmented into traffic resource utilization, classification, network optimization, and others. 
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