AI in Telecommunication Market Market is to Witness Highest Growth in near future Forecast 2017-2023

This report studies the AI in Telecommunication market status and outlook of global and major regions, from angles of players, regions, product and end Application/industries; this report analyzes the top players in global and major regions, and splits the AI in Telecommunication market by product and Application/end industries.

The global AI in Telecommunication market is valued at 343.32 million USD in 2017 and is expected to reach 3883.68 million USD by the end of 2023, growing at a CAGR of 49.83% between 2017 and 2023. owing to growing awareness among telecommunication enterprises regarding the benefits of the Artificial Intelligence technology and growing necessity for monitoring the content spread on telecommunication networks. Moreover, beginning of the Internet of Things (IoT) technologies and 5G of mobile networks is expected to support the AI in telecom industry. Based on technology, the market has been segmented into Machine Learning & Deep Learning and Natural Language Processing. The machine learning and deep learning segment is expected to grow at a highest CAGR during 2018-2023 due to its use for automating telecommunication operations in telecommunication industry. The major players in Global AI in Telecommunication market are Intel, Microsoft, Sentient Technologies, AT&T, Google and many more.

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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.

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 heterogeneous 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.

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TOP PLAYERS :
IBM
Microsoft
Intel
AT&T
Cisco Systems
Nuance Communications
H2O.ai
Salesforce
Nvidia

Geographically, this report split global into several key Regions, with, revenue (million USD), market share and growth rate of AI in Telecommunication for these regions, from 2012 to 2023 (forecast)
United States
China
Europe
Japan
India
Southeast Asia
Others

On the basis of service patterns, the AI in Telecommunication market is primarily split into
Solutions
Services

On the basis on the end users/Application, this report covers
Network Optimization
Network Security
Customer analytics
Others

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1 Industry Overview
1.1 AI in Telecommunication Market Overview
1.1.1 AI in Telecommunication Product Scope
1.1.2 Market Status and Outlook
1.2 Global AI in Telecommunication Market Size and Analysis by Regions (2013-2018)
1.2.1 United States AI in Telecommunication Market Status and Outlook
1.2.2 EU AI in Telecommunication Market Status and Outlook
1.2.3 Japan AI in Telecommunication Market Status and Outlook
1.2.4 China AI in Telecommunication Market Status and Outlook
1.2.5 India AI in Telecommunication Market Status and Outlook
1.2.6 Southeast Asia AI in Telecommunication Market Status and Outlook
1.3 Classification of AI in Telecommunication by Service Patterns
1.3.1 Global AI in Telecommunication Revenue (Million USD) and Growth Comparison by Service Patterns (2013-2023F)
1.3.2 Global AI in Telecommunication Revenue (Million USD) Market Share by Service Patterns in 2017
1.3.3 Solutions
1.3.4 Service
1.4 AI in Telecommunication Market by End Users/Application
1.4.1 Network Optimization
1.4.2 Network Security
1.4.3 Customer Analytics
2 Global AI in Telecommunication Competition Analysis by Players
2.1 Global AI in Telecommunication Market Size (Million USD) by Players (2017-2018E)
2.2 Competitive Status

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