AI in Telecommunication Market Research Report by Forecast to 2023

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AI in Telecommunication Market Research Report By
Forecast to 2023
Industry Survey, Growth, Competitive
Landscapeand Forecasts to 2023
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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
MRFRs 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 ATT, 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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