AI in Telecommunication Market Growth, Scope, Size, Key Players and Forecast 2018 to 2026
The growth of the
market for AI in telecommunication is driven by the enhanced growth of AI
different telecommunication industries and the need to check the security for
the contents shared on telecommunication network.
Market Size – USD 0.80 billion in 2018, Market
Growth - CAGR of 18.6%, Market Trends – monitoring the content shared in
telecommunication network and growing demand for Ai-enabled smartphones.
The AI in telecommunication market is expected to grow from USD 0.80 billion in 2018 to USD 3.74 billion by 2026, at a CAGR of 18.6% during the forecast period. The driving factor for growth being the enhanced growth of AI different telecommunication industries and the need to check the security for the contents shared on telecommunication network.
The increasing demand to build a smarter world
with the help of various technologies is moving faster than ever. Artificial
intelligence (AI) is one such factor that is driving the need for the smart
world. Because of its potential to invent new ideas and technologies, it is the
most noticeable technology among various parts of the industries.
Telecommunication industry is one such industry that is using AI in a larger
portion ton deliver customer service by providing better network performance
and reality. The leading telecommunication industries from various parts of the
world is using AI to increase revenue and process big data. The rapid need for
personalized customer experience is increasing the growth of the market.
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Players
will require increased investments to tackle these challenges and facilitate
growth in the coming years. This report comprises drivers, restraints,
opportunities, and challenges pertaining to the Cloud robotics market; and
extensive value chain analysis, patent analysis, analysis of the current
manufacturing capability and technology status, commercialization potential in
different devices, along with market size forecasts till 2026.
The report “AI in Telecommunication Market by Deployment mode
(Cloud, on premise), Technology (Machine learning & deep learning and
Natural learning), Use (Customer analysis, Network optimization, Network
Optimization, Virtual assistants and self-diagnosis) and Geography - Global
Forecast 2026” is available now to Reports and Data customers and can also be purchased directly
at: https://www.reportsanddata.com/checkout-form/1070
Further key findings from the report suggest
·
Growth of AI in Telecommunication Market is
directly fueled by the enhanced growth of AI in different telecommunication
industries and need to check the content shared in telecommunication industry.
The Ai in telecommunication market is expected to grow from USD 0.80 billion in
2018 to USD 3.74 billion by 2026, at a CAGR of 18.6% during the forecast period
·
The growth of AI in different
telecommunication industries and need to check the content shared in
telecommunication industry are one of the factors expected to drive the market.
However, the issues faced with incompatibility and scarcity of professionals
may act as the restraining factors for the growth of the market.
·
Based on deployment type, the market is
segmented as on cloud, on premise. The cloud deployment uses less expensive
algorithms to perform along with the features of being flexible, easy and quite
affordable, which makes it the faster growing deployment type accepted by
various industries than the on premise. The installation and maintenance cost
is also affordable than the on premise.
·
Based on Use, the market is segmented as
customer analysis, network optimization, network security self-diagnosis and
virtual assistants. Virtual assistants uses AI to follow commands and
instructions given by the user. One such example of virtual assistance is the
online retailer spring that was one of the first among all to initiate the use
of Facebook’s messenger’s Bot store to offer personal shopping assistance for
the shoppers by engaging them in a simple conversations.
·
Based on technology, the market is segmented
as Machine Learning and Natural learning. Machine learning along with the
technology advancement is growing at a huge rate in today’s fast moving world.
The AI for the machine learning is expected to grow the highest CAGR of 18 %
during the forecast period. The growing demand of machine learning in different
industries like automotive, healthcare and manufacturing, e.t.c are benefitting
the growth of this market.
·
Based on region, the market is being
segmented into Europe, APAC, North America, and Row. The largest share of about
40.0% is being brought by Asia Pacific in the global market and is expected to
hold the place in terms of both usage and manufacturing in the upcoming years.
The key contributors to the regional growth are Taiwan, Japan, and China.
·
The
Key players in the Cloud robotics market include IBM (US), Microsoft (US),
Intel (US), Google (US), AT&T (US), Cisco Systems (US), H2O.ai (US), Infosys (India), Salesforce
(US), and NVIDIA (US).
For the purpose of
this report, the market has been segmented on the basis of deployment,
Technology, Application and region:
·
Deployment mode
(Revenue, USD Million; 2016–2026)
o
cloud
o
on premise
·
Use (Revenue, USD
Million; 2016–2026)
o
Customer analysis
o
Network optimization
o
Network security
o
Self-diagnosis
o
Virtual assistants
·
Technology
(Revenue, USD Million; 2016–2026)
o
Machine & deep learning
o
Natural learning
·
Regional
Outlook (Revenue, USD Million; 2016–2026)
o North America
§ US
§ Canada & Mexico
o Europe
§
Germany
§
France
§
UK
§ Rest of Europe
o Asia Pacific
§
China
§
Japan
§
South Korea
§ Rest of APAC
o Rest of the World
§ South America
§ Middle East and
Africa
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