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New report shares details about the AI in telecommunication market forecast to 2022

IT Market Research

The AI in telecommunication market includes various AI in telecommunication vendors, such as IBM (US), Microsoft (US), Intel (US), Google (US), AT&T (US), Cisco Systems (US), Nuance Communications (US), Sentient Technologies (US), H2O.ai (US), Infosys (India), Salesforce (US), and NVIDIA (US).

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Download Brochure of AI in Telecommunication Market spread across 134 Pages, Profiling 13 Companies and Supported with 77 Tables and 54 Figures is now available at www.rnrmarketresearch.com/contacts…ple?rname=1345704 .

In AI in telecommunication market, cloud deployment mode offers multiple benefits, like reduced operational & maintenance costs, fewer complexities, & more scalability. AI in telecommunication solution providers are focusing on development of robust cloud-based solutions for their clients, as many organizations have started adopting cloud-based deployment mode.

Additionally, cloud deployment mode is user-friendly and easy to access.

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The target audience of the market report is given below:

  • Government agencies
  • AI in telecommunication solution/service vendors
  • Application developers
  • System integrators
  • Application end-users

Objective of AI in Telecommunication Market report is to define, describe, and forecast size of AI in telecommunication market on basis of technologies, applications, components (solutions and services), deployment modes, and regions. Report also aims at providing detailed information about the major factors influencing growth of market (drivers, restraints, opportunities, and challenges).

Get More Information on AI in Telecommunication Market with Company Profiles and Top Trends at www.rnrmarketresearch.com/contacts…ing?rname=1345704 .

North America expected to have largest market size in AI in telecommunication market during forecast period. North American region has shown increased investments in market, & several vendors have evolved to cater to rapidly growing market.

A considerable growth is expected in region during forecast period. Major initiatives taken for growth of AI in telecommunication technology have their origin in this region.

Competitive Landscape

1 Overview

2 Top Players Operating in the AI in Telecommunication Market

3 Competitive Situation and Trends

4 New Product Launches

5 Agreements, Partnerships, and Collaborations

6 Acquisitions

7 Business Expansions

The AI in telecommunication market technology segment is subsegmented into machine learning and deep learning, and Natural Language Processing (NLP). Among these, the machine learning and deep learning segment is expected to have a larger market size during the forecast period.

Click now for more Details, Quiries and Other Information on this study “AI in Telecommunication Market by Technology, Application (Network Optimization, Network Security, Self-diagnostics, Customer Analytics, and Virtual Assistance), Component (Solutions and Services), Deployment Mode, and Region - Global Forecast to 2022” report @ www.rnrmarketresearch.com/contacts…ase?rname=1345704 .

The AI in telecommunication market has been segmented on the basis of technologies, applications, components (solutions and services), deployment modes, and regions. The technology segment of AI in telecommunication includes machine learning and deep learning, and NLP.

The application segment includes network optimization, network security, self-diagnostics, customer analytics, virtual assistance, and others. The other applications include contact center analytics and marketing campaign analytics.

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