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.
The AI in Telecommunication Market to Grow steadily at a CAGR of +46% during the forecast period.
The report on the global AI in Telecommunication Market is a complete overview of the market, covering various aspects product definition, segmentation based on various parameters, and the prevailing vendor landscape. It compiles in-depth information and research methodologies.
It is also combined with relevant charts and tables to enable readers to get a better perspective of this global market.
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Companies Profiled in this report includes, IBM, Microsoft, Intel, Google, AT&T, Cisco Systems, Nuance Communications, Sentient Technologies, H2O.ai, Infosys, Salesforce, and NVIDIA.
In the AI in telecommunication market, the cloud deployment mode offers multiple benefits, such as reduced operational and maintenance costs, fewer complexities, and more scalability. The AI in telecommunication solution providers are focusing on the development of robust cloud-based solutions for their clients, as many organizations have started adopting the cloud-based deployment mode.
Additionally, the cloud deployment mode is user-friendly and easy to access.
According to this statistical surveying study, the worldwide market for AI in Telecommunication has been witnessing a significant rise since the last few years and the trend is expected to continue in the near future, thanks to the significant proliferation of the Internet. The report offers a complete study of the global market by analyzing the driving forces, development trends, restraints, and opportunities in details.
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The report also presents a 360-degree overview of the competitive scenario of the global AI in Telecommunication market, thus helping organizations understand the major threat and opportunities that vendors in the market are dealt with and includes detailed business profiles of some of the major vendors in the market. Also, the report offers a SWOT analysis of the global market.
This report gives a clear picture of the AI in Telecommunication market scenario for the better understanding to the readers.
In the last section of the report, the foremost manufacturers operating in the Global AI in Telecommunication Market have been presented. These manufacturers have been investigated in terms of key characteristics such as gross, cost, gross margin, income, product specifications, product scenario, company outline, and contact information.
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Table of Contents
Global AI in Telecommunication Market Research Report 2018
Chapter 1 Global AI in Telecommunication Market Overview
Chapter 2 Global Economic Impact on Industry
Chapter 3 Global Market Competition by Manufacturers
Chapter 4 Global Production, Revenue (Value) by Region
Chapter 5 Global Supply (Production), Consumption, Export, Import by Regions
Chapter 6 Global Production, Revenue (Value), Price Trend by Type
Chapter 7 Global Market Analysis by Application
Chapter 8 Manufacturing Cost Analysis
Chapter 9 Industrial Chain, Sourcing Strategy and Downstream Buyers
Chapter 10 Marketing Strategy Analysis, Distributors/Traders
Chapter 11 Market Effect Factors Analysis
Chapter 12 Global Market Forecast
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