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Tuesday 4 February 2014

Big Data in Manufacturing Market Analysis, Size, Case Studies, Trends and Forecasts 2014-2019

ResearchMoz include new market research report "Big Data in Manufacturing: Market Analysis, Case Studies, and Forecasts 2014 - 2019" to its huge collection of research reports. View Full Report With Complete TOC at http://www.researchmoz.us/big-data-in-manufacturing-market-analysis-case-studies-and-forecasts-2014-2019-report.html

The manufacturing industry account for a significant share of GDP globally and represents a large ecosystem. The competition in manufacturing sector worldwide forces companies to get smarter through in-depth real time analysis of large datasets produced internally and externally for deep insight and quick decision making.

Big Data refers to a massive volume of structured, unstructured and semi-structured data that is so large and difficult to process using traditional computer, database and software techniques.


This report evaluates the potential for Big data in manufacturing including analysis of important industry attributes, key players and solutions, and case studies. The report also provides a market outlook and forecasts for 2014 to 2019 for big data. The report culminates with specific recommendations for manufacturers and big data solution providers.

Topics Covered in Report

Big Data Technology: An overview of the advanced technologies that promote big data analytics. 
The Case for Big Data in manufacturing: An assessment of the growth drivers and barriers for Big Data in manufacturing. 
Business Processes in Manufacturing: Current enterprise applications and big data improvement. 
Big Data Vertical Chains and Key Players: A review of vertical chain and key players in big data manufacturing market. 
Big Data Market Analysis and Forecast: An assessment of the market size and forecasts for the Big Data market from 2014 to 2019. 
Case Studies: Several case studies of using big data in their organizations. 
Recommendations: Suggestions to manufacturers who want to deploy big data analytics and to big data suppliers who explore business in this sector.

View All Big Data Market Research Reports - http://www.researchmoz.us/big-data-market.htm

Target Audience:

Big Data companies 
Telecom service providers 
Big Data application developers 
Data services and analytics companies 
Cloud and telecom infrastructure providers 
Manufacturers and everyone in the supply chain

Companies in Report:

Alien Technology 
Applied Sensor Technologies 
AT&T 
Big Data Partnership 
CCL Industries Inc 
Cisco 
Coca-Cola 
Concord 
DATAQ Instruments 
EMC 
Ericsson 
Estee Lauder 
Ford Motor 
General Data 
Honeywell 
HP 
HuaWei 
IBM 
iSoftStone 
Measurement Computing 
Microsoft 
Nokia Here 
NXP 
Omron 
Oracle 
RF Code 
SAP 
SAS 
Splunk 
Tata Consultancy Services 
Telefonica 
Teradata 
Texas Instruments 
The Baumer Group 
Think Big Analytics 
ZTE

Browse Other Published Reports By Mind Commerce Publishing - http://www.researchmoz.us/publisher/mind-commerce-publishing-4.html

Related Reports -

Big Data and Telecom Analytics Market: Business Case, Market Analysis & Forecasts 2014 - 2019

Big Data refers to a massive volume of both structured and unstructured data that is so large that it is difficult to process using traditional database and software techniques. While the presence of such datasets is not something new, the past few years have witnessed immense commercial investments in solutions that address the processing and analysis of Big Data.

Big Data opens a vast array of applications and opportunities in multiple vertical sectors including, but not limited to, retail and hospitality, media, utilities, financial services, healthcare and pharmaceutical, telecommunications, government, homeland security, and the emerging industrial Internet vertical.


Big Data in Financial Services Industry: Market Trends, Challenges, and Prospects 2013 - 2018

Big Data is making a big impact already in certain industries such as the healthcare, industrial, and retail sectors. With the exception of the government sector, no other industry has more to gain from leveraging Big Data than the financial services sector. Big Data technology will help financial institutions maximize the value of data and gain competitive advantage, minimize costs, convert challenges to opportunities, and minimize risk in real-time.

Big Data technologies provide financial services firms with the capability to capture and analyze data, build predictive models, back-test and simulate scenarios. Through iteration, firms will determine the most important variables and also key predictive models.


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