Market Research Report
Global Big Data in the Manufacturing Sector Market 2016-2020
|Published by||TechNavio (Infiniti Research Ltd.)||Product code||356759|
|Published||Content info||53 Pages
Delivery time: 1-2 business days
|Global Big Data in the Manufacturing Sector Market 2016-2020|
|Published: April 15, 2016||Content info: 53 Pages||
Big data solutions refer to the wide range of hardware, software, and services required for analyzing and processing enterprise data that is too large for traditional data processing tools to manage. This type of data is generated from different sources such as mobile devices, digital repositories, enterprise applications and ranges from terabyte to exabyte in size. Big data solutions help process and analyze this large volume of data. They have a wide array of applications such as analysis of conversations in social networking websites, fraud management in the financial services sector, disease diagnosis in the healthcare sector, and supply chain management in the manufacturing sector.
Technavio's analysts forecast the global big data market in the manufacturing sector to grow at a CAGR of 16.87% during the period 2016-2020.
The report covers the present scenario and the growth prospects of the global big data market in the manufacturing sector for 2016-2020. To calculate the market size, the report considers the revenue generated from the sales of big data solutions in the manufacturing sector, including software, integrated solutions, and services.
The market is divided into the following segments based on geography:
Technavio's report, Global Big Data Market in the Manufacturing Sector 2016-2020, has been prepared based on an in-depth market analysis with inputs from industry experts. The report covers the market landscape and its growth prospects over the coming years. The report also includes a discussion of the key vendors operating in this market.
You can request one free hour of our analyst's time when you purchase this market report. Details are provided within the report.