Press release
Big Data in the Manufacturing Sector Market 2017–2020 : Global Drivers, Opportunities, Trends, and Forecasts
Big Data in the Manufacturing Sector Market
The analysts forecast the global big data market in the manufacturing sector to grow at a CAGR of 16.87% during the period 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.
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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.
The market is divided into the following segments based on geography:
• Americas
• APAC
• EMEA
The 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
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?
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Table Of Contents – Major Key Points
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
Continue…….
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