(MoneyNewsWire.Net, May 05, 2016 ) 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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