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North America accounted for the largest share in the global smart transportation market in 2016. U.S. is the major growth engine in North America market
Artificial Intelligence in Telecommunication Market Global Industry Insights 2017-2025
Artificial intelligence (AI) is group of methodology that focus on formation of intelligent
machines with the help of human intelligence such as visual perception, speech recognition,
decision-making, and translation between languages. The main application of artificial
intelligence in telecommunications is for network management. The two key technologies
that are widely in telecommunication industry are expert systems and machine learning.
However, AI is expected to be more beneficial in telecom industry, if the operators upgrade
their networks to Software Defined Networks (SDNs), which leads to network virtualization
and the deployment of relatively better cloud-based services.
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Advent of The fifth generation of mobile networks (5G) and Internet of Things (IoT)
technologies, to build future networks is expected to aid in integration of AI in telecom
industry. Mobile networks have to deal with heterogenous data coming from all over the
world and from a huge variety of systems, retailers and network types and they should have
the ability to act in real-time. So, the analysis of these huge data sets from all over the world
is time consuming and somewhere it is next to impossible. In this case Artificial Intelligence
plays a key role because it is used to predict and analyze issues faster than human. Artificial
Intelligence will make the fifth generation of mobile networks more open enabling
connectivity to predictability.
To solve these issues in the telecom industry, machine learning tools are used, which is used
to tackle the churning prediction problem. The methods used for solving churning problem
includes artificial neural networks, decision trees learning, regression analysis, logistic
regression, support vector machines, naive Bayes, sequential pattern mining and market
basket analysis, linear discriminant analysis, and rough set approach. Hence, the use of
machine learning helps to detect fraudulent calls in mobile phones by examining the user’s
calling behavior.
However, lack of availability of cheaper hardware to develop AI-enabled products is the
major factor restraining the growth of the AI in telecommunication market.
Market Taxonomy
On the basis of component, the global artificial intelligence market in telecommunication
industry is segmented into:
● Tools
● Services
On the basis of mode of deployment, the global artificial intelligence market in
telecommunication industry is segmented into:
● Cloud based
● On - premises
On the basis of application, the global artificial intelligence market in telecommunication
industry is segmented into:
●
●
●
●
●
Traffic
Classification
Resource utilization and Network optimization
Anomaly detection
Prediction
Network Orchestration
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Market Outlook – North America held the largest share in global artificial intelligence market
in telecommunication industry in 2016
On the basis of geography, global artificial intelligence market in telecom industry is
classified into North America, Europe, Asia Pacific, Latin America, Middle East, and Africa.
North America held a dominant position in the global artificial intelligence market in telecom
industry in 2016, and is expected to retain its dominance throughout the forecast period. This
is due to increasing adoption of AI solutions and consumers in the region been early adopters
of new technologies. In November 2017, according to Genpact survey of working population
across the developed economies that included the U.S., the U.K., and Australia showed high
inclination towards adoption of AI in industries including telecommunication. Genpact is a
global professional services firm delivering digital transformation.
In addition to this, the Asia Pacific market is estimated to exhibit the highest CAGR over the
forecast period. This is attributed to rising adoption of machine learning and natural language
processing technologies and several 5G pilot projects. This is expected to boost the AI market
in telecom industry. For instance, China Telecom Corporation Ltd. established a new 5G base
station in Lanzhou on December 2017 to expand 5G pilot projects in China.
Key Companies
The key industry players include Atomwise, Inc., Lifegraph, Sense.ly, Inc., Zebra Medical
Vision, Inc., Baidu, Inc., H2O ai, IBM Watson Health, NVIDIA, Enlitic, Inc., Google, Inc.,
Intel Corporation, Microsoft Corporation, and others.
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mmunication-market-1120
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apeksha motghare
apeksha motghare533   documents Email
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