Market Research Report
Global Big Data & Machine Learning in Telecom Market Size, Status and Forecast 2019-2025
|Published by||QYResearch||Product code||788387|
|Published||Content info||100 Pages
Delivery time: 2-3 business days
|Global Big Data & Machine Learning in Telecom Market Size, Status and Forecast 2019-2025|
|Published: February 14, 2019||Content info: 100 Pages||
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:
Market analysis by product type:
Market analysis by market:
Market analysis by Region:
The study objectives of this report are:
In this study, the years considered to estimate the market size of Big Data & Machine Learning in Telecom are as follows:
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.