Sci-Tech

Big Data and Machine Learning in Telecom Market Rising Trends and New Technologies

Analytical Research Cognizance

Summary     

Latest Research Report on “Big Data and Machine Learning in Telecom Market” Added by Analytical Research Cognizance which covers Market Overview, Future Economic Impact, Competition by Manufacturers, Supply (Production), & Consumption Analysis

Description

Telecom big data spending includes distributed storage and computing Hadoop (and Spark) clusters, HDFS file systems, SQL and NoSQL software database frameworks, and other operational software. Telecom analytics software, such as for revenue assurance, business intelligence, strategic marketing, and network performance, are considered separately . The evolution from non-machine learning based descriptive analytics to machine learning driven predictive analytics is also considered. Telecom data meets the fundamental 3Vs criteria of big data: velocity, variety, and volume, and should be supported with a big data infrastructure (processing, storage, and analytics) for both real-time and offline analysis.

According to this study, over the next five years the Big Data & Machine Learning in Telecom market will register a xx% CAGR in terms of revenue, the global market size will reach US$ xx million by 2023, from US$ xx million in 2017. In particular, this report presents the global revenue market share of key companies in Big Data & Machine Learning in Telecom business, shared in Chapter 3.

This report presents a comprehensive overview, market shares, and growth opportunities of Big Data & Machine Learning in Telecom market by product type, application, key manufacturers and key regions and countries.

Brief about Big Data and Machine Learning in Telecom Market Report with TOC @ http://www.arcognizance.com/report/global-big-data-and-machine-learning-in-telecom-market-growth-status-and-outlook-2018-2023

This study considers the Big Data & Machine Learning in Telecom value generated from the sales of the following segments:

Segmentation by product type:
Descriptive analytics
Predictive analytics
Feature engineering

Segmentation by application:
Processing
Storage
Analyzing

This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia

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The report also presents the market competition landscape and a corresponding detailed analysis of the major vendor/manufacturers in the market. The key manufacturers covered in this report:
Allot
Argyle data
Ericsson
Guavus
HUAWEI
Intel
NOKIA
Openwave mobility
Procera networks
Qualcomm
ZTE
Google
AT&T
Apple
Amazon
Microsoft

In addition, this report discusses the key drivers influencing market growth, opportunities, the challenges and the risks faced by key players and the market as a whole. It also analyzes key emerging trends and their impact on present and future development.

Research objectives

To study and analyze the global Big Data & Machine Learning in Telecom market size by key regions/countries, product type and application.

To understand the structure of Big Data & Machine Learning in Telecom market by identifying its various subsegments.

Focuses on the key global Big Data & Machine Learning in Telecom players, to define, describe and analyze the value, market share, market competition landscape, SWOT analysis and development plans in next few years.

To analyze the Big Data & Machine Learning in Telecom with respect to individual growth trends, future prospects, and their contribution to the total market.

To share detailed information about the key factors influencing the growth of the market (growth potential, opportunities, drivers, industry-specific challenges and risks).

To project the size of Big Data & Machine Learning in Telecom submarkets, with respect to key regions (along with their respective key countries).

To analyze competitive developments such as expansions, agreements, new product launches and acquisitions in the market.

To strategically profile the key players and comprehensively analyze their growth strategies.

Some Points Covered in Table of Contents:

Chapter One: Scope of the Report

1.1 Market Introduction

1.2 Research Objectives

1.3 Years Considered

1.4 Market Research Methodology

1.5 Economic Indicators

1.6 Currency Considered

Chapter Two: Executive Summary

2.1 World Market Overview

2.1.1 Global Big Data & Machine Learning in Telecom Market Size 2018-2023

2.1.2 Big Data & Machine Learning in Telecom Market Size CAGR by Region

2.2 Big Data & Machine Learning in Telecom Segment by Type

2.2.1 Descriptive analytics

2.2.2 Predictive analytics

2.2.3 Machine learning

2.2.4 Feature engineering

2.3 Big Data & Machine Learning in Telecom Market Size by Type

2.3.1 Global Big Data & Machine Learning in Telecom Market Size Market Share by Type (2018-2023)

2.3.2 Global Big Data & Machine Learning in Telecom Market Size Growth Rate by Type (2018-2023)

2.4 Big Data & Machine Learning in Telecom Segment by Application

2.4.1 Processing

2.4.2 Storage

2.4.3 Analyzing

2.5 Big Data & Machine Learning in Telecom Market Size by Application

2.5.1 Global Big Data & Machine Learning in Telecom Market Size Market Share by Application (2018-2023)

2.5.2 Global Big Data & Machine Learning in Telecom Market Size Growth Rate by Application (2018-2023)

Chapter Three: Big Data & Machine Learning in Telecom Key Players

3.1 Date of Key Players Enter into Big Data & Machine Learning in Telecom

3.2 Key Players Big Data & Machine Learning in Telecom Product Offered

3.3 Key Players Big Data & Machine Learning in Telecom Funding/Investment Analysis

3.4 Funding/Investment

3.4.1 Funding/Investment by Regions

3.4.2 Funding/Investment by End Industry

3.5 Key Players Big Data & Machine Learning in Telecom Valuation & Market Capitalization

3.6 Key Players Mergers & Acquisitions, Expansion Plans

3.7 Market Ranking

3.8 New Product/Technology Launches

3.9 Partnerships, Agreements, and Collaborations

3.10 Mergers and Acquisitions

Chapter Four: Big Data & Machine Learning in Telecom by Regions

4.1 Big Data & Machine Learning in Telecom Market Size by Regions

4.2 Americas Big Data & Machine Learning in Telecom Market Size Growth

4.3 APAC Big Data & Machine Learning in Telecom Market Size Growth

4.4 Europe Big Data & Machine Learning in Telecom Market Size Growth

Chapter Five: Americas

5.1 Americas Big Data & Machine Learning in Telecom Market Size by Countries

5.2 Americas Big Data & Machine Learning in Telecom Market Size by Type

5.3 Americas Big Data & Machine Learning in Telecom Market Size by Application

5.4 United States

5.5 Canada

5.6 Mexico

5.7 Key Economic Indicators of Few Americas Countries

……..

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