Global Big Data & Machine Learning in Telecom Market Size, Status and Forecast 2019-2025

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.
In 2018, the global Big Data & Machine Learning in Telecom market size was xx million US$ and it is expected to reach xx million US$ by the end of 2025, with a CAGR of xx% during 2019-2025.

This report focuses on the global Big Data & Machine Learning in Telecom status, future forecast, growth opportunity, key market and key players. The study objectives are to present the Big Data & Machine Learning in Telecom development in United States, Europe and China.

The key players covered in this study
Allot
Argyle data
Ericsson
Guavus
HUAWEI
Intel
NOKIA
Openwave mobility
Procera networks
Qualcomm
ZTE
Google
AT&T
Apple
Amazon
Microsoft

Market analysis by product type
Descriptive analytics
Predictive analytics
Machine learning
Feature engineering

Market analysis by market
Processing
Storage
Analyzing

Market analysis by Region
United States
Europe
China
Japan
Southeast Asia
India
Central & South America

The study objectives of this report are:
To analyze global Big Data & Machine Learning in Telecom status, future forecast, growth opportunity, key market and key players.
To present the Big Data & Machine Learning in Telecom development in United States, Europe and China.
To strategically profile the key players and comprehensively analyze their development plan and strategies.
To define, describe and forecast the market by product type, market and key regions.

In this study, the years considered to estimate the market size of Big Data & Machine Learning in Telecom are as follows:
History Year: 2018-2019
Base Year: 2018
Estimated Year: 2019
Forecast Year 2019 to 2025
For the data information by region, company, type and application, 2018 is considered as the base year. Whenever data information was unavailable for the base year, the prior year has been considered.