The Big Data Enabled Industry report covers the present scenario and the growth prospects of the Big Data Enabled Market for 2016-2019. Big Data Enabled Market report focuses on the major drivers and restraints for the key players. To calculate the market size, the report considers both the direct revenue and the indirect revenue of the vendors.
Market research analysts predict the big data enabled market to grow at a CAGR of over 23% by 2019. Its growth stems from increasing data volume from organizations across all the sectors and the increasing need to enhance business productivity and efficiency.
Also, the inherent advantages of big data helps organizations improve their customer experience while reducing costs. The growing adoption of third-platform technologies like analytics and the cloud help obtain powerful, actionable insights at lower costs, and it is thus expected to drive the growth of big data further across many sectors.
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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 in Big Data Enabled Market
Other prominent vendors in this market are 1010data, Accenture, Amazon, Attivio, CareFusion, Cisco, Cognizant, Cloudera, DataStax, Epic Systems, Explorys, EMC, GNS Healthcare, Google, Hitachi, Hortonworks, Humedica, Informatica, InterSystems, MapR Technologies, MarkLogic, McKesson, Microsoft, MongoDB, MuSigma, NTT Data, Oracle, Palantir, Philips Healthcare, PwC, Salesforce.com, SAS, Sogeti Healthcare, Teradata, and UnitedHealth.
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The Big Data Enabled Market is divided into the following segments based on geography:
Big Data Enabled Market Opportunities During 2016-2019:
With a purpose of enlightening new entrants about the possibilities in this market, this report investigates new project feasibility. Various details about the manufacturing process such as market drivers, impact of drivers, market challenges and impact of drivers and challenges, market trends, vendor landscape analysis and so on, is discussed in the report
Big Data Enabled Market Dynamics:
Structured data is derived from traditional applications like such as ERP, SCM, and CRM tools while unstructured data is derived from web-based searches, social networks, and cloud-based applications. It is practically impossible to analyze such large volumes of data manually. Hence, organizations are increasingly implementing big data technology and solutions.
In the end, the report makes some important proposals for a new project of Big Data Enabled Industry before evaluating its feasibility. Overall, the report provides an in-depth insight of Global Big Data Enabled Market 2016-2019 industry covering all important parameters.
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Key questions answered in this Big Data Enabled Market 2016-2019 report
• What will the market size be in 2019 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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List of Exhibits
Exhibit 01: Product offerings
Exhibit 02: Global big data enabled market by end-user
Exhibit 03: Global big data enabled market 2014-2019 ($ billions)
Exhibit 04: Five forces analysis
Exhibit 05: Segmentation of global big data enabled market by application
Exhibit 06: Segmentation of global big data enabled market by application 2014
Exhibit 07: Smart manufacturing implementation process
Exhibit 08: Global smart manufacturing market 2014-2019 ($ billions)
Exhibit 09: Global telehealth market 2014-2019 ($ billions)
Exhibit 10: Global mobile location-based services market 2014-2019 ($ billions)
Exhibit 11: Risk analytics process flow
Exhibit 12: Global financial risk analytics market 2014-2019 ($ billions)
Exhibit 13: Smart oilfield value chain
Exhibit 14: Global smart oilfield market 2014-2019 ($ billions)
Exhibit 15: Segmentation of global big data enabled market by geography 2014
Exhibit 16: Impact of drivers
Exhibit 17: Impact of drivers and challenges
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