Big Data & Machine Learning in Telecom Market Size 2018 by Top Key Players and Application with Trend and Growth by: Allot, Argyle data, Ericsson, Guavus, HUAWEI, Intel

The Big Data & Machine Learning in Telecom Market report offers a detailed Outlook and future prospects of the Industry. The Big Data & Machine Learning in Telecom market report includes various topics like market size & share, Competitive Analysis, applications, key market drivers & restraints, challenges, growth opportunities, key players, competitive landscape, Regions etc.

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.

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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.

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

Segmentation by product type:

• Descriptive analytics
• Predictive analytics
• Feature engineering

Segmentation by application:

• Processing
• Storage
• Analyzing

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Reasons for Buying this Report:
This report provides pin-point analysis for changing competitive dynamics
It provides a forward looking perspective on different factors driving or restraining market growth
It provides a six-year forecast assessed on the basis of how the market is predicted to grow
It helps in understanding the key product segments and their future
It provides pin point analysis of changing competition dynamics and keeps you ahead of competitors
It helps in making informed business decisions by having complete insights of market and by making in-depth analysis of market segments

Table of Contents

1 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

2 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)

3 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
TOC continued…!

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