Press release
Global Big Data in the Manufacturing Sector Market Key Trends, Size, Growth, Shares And Forecast Research Report 2016-2020
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.
Technavios analysts forecast the global big data market in the manufacturing sector to grow at a CAGR of 16.87% during the period 2016-2020.
Covered in this report
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.
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The market is divided into the following segments based on geography:
Americas
APAC
EMEA
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.
Key vendors
EMC
HP
IBM
Oracle
Other prominent vendors
1010data
10gen
Accenture
Amazon Web Services
Attivio
Calpont
Capgemini
ClickFox
Cloudera
Couchbase
CSC
Datameer
DataStax
Dell
Digital Reasoning Systems
Fractal Analytics
Fujitsu
Hitachi
Hortonworks
HPCC Systems
Huawei Technologies
Informatica
Intel
Karmasphere
Logica
MapR Technologies
MarkLogic
Microsoft
Mu Sigma
NetApp
Opera Solutions
ParAccel
Pervasive Software
QlikTech
RainStor
Red Hat
SAP
SAS Institute
Seagate
Siemens Information Systems
Splunk
Supermicro Computer
Tableau Software
Tata Consultancy Services
Teradata
Think Big Analytics
Xerox
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Market driver
High demand for effective data access
For a full, detailed list, view our report
Market challenge
Lack of skilled professionals
For a full, detailed list, view our report
Market trend
Growth of cloud computing
For a full, detailed list, view our report
Key questions answered in this report
What will the market size be in 2020 and what will the growth rate be?
What are the key market trends?
What is driving this market?
What are the challenges to market growth?
Who are the key vendors in this market space?
What are the market opportunities and threats faced by the key vendors?
What are the strengths and weaknesses of the key vendors?
Table Of Content
PART 01: Executive summary
Highlights
PART 02: Scope of the report
Market overview
Top-vendor offerings
PART 03: Market research methodology
Research methodology
Economic indicators
PART 04: Introduction
Key market highlights
PART 05: Market landscape
Market overview
Big data in the Manufacturing sector
Market size and forecast
Share of manufacturing sector in global big data market
PART 06: Market segmentation by component
PART 07: Market segmentation by solution types
Global big data market in manufacturing sector by solution types 2015
PART 08: Geographical segmentation
Global big data market in manufacturing sector by region
PART 09: Key leading countries
US
UK
China
PART 10: Market drivers
High demand for effective data access
Exponential growth in data
Increased adoption of IoT
Increased demand of ICT
PART 11: Impact of drivers
PART 12: Market challenges
Management of unstructured data
High cost of implementation
Lack of skilled professionals
Performance inconsistency with components
PART 13: Impact of drivers and challenges
PART 14: Market trends
Growth of cloud computing
Emergence of M2M technology
Increased demand from medium-sized enterprises
SaaS-based predictive analytics
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