Global Big Data Enabled Market 2015-2019

Category : ICT Media  | Published Date : Nov-2015 | Pages : 80
Global Big Data Enabled Market 2015-2019
Covering: Market forecast for big data enabled services until 2019. The market research study presents an analysis of the key application areas for big data that include smart manufacturing, telehealth, mobile LBS, financial risk analysis, and smart oilfields. Market shares for APAC, Americas, and EMEA regions are also included in this research report. The top companies analyzed by this report are IBM, HP, Dell, and SAP.

Outlook of the global big data enabled services market
Technavio’s 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.

Research scope and segmentation of the global big data enabled market
To calculate the market size, analysts have considered the markets that have been enabled by big data. These are spread across industries that include manufacturing, healthcare, oil and gas, BFSI, and retail, and it covers markets such as manufacturing, telehealth, smart oilfield, risk analytics in the financial sector, and mobile LBS. 
Upcoming trends, drivers, and challenges for big data
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. 

Smart manufacturing is currently trending in the market. By combining information technology, industrial automation, and human intelligence is transforming traditional factories from cost centers into profit centers. 

However, the market is witnessing a shortage of skilled professionals like statistical data scientists, big data analysts, infrastructure professionals with data virtualization experience, and solution architects with knowledge of handling the data in Hadoop and other big data related platforms.

Geographical segmentation of the big data enabled market
The report presents a detailed analysis of the market shares of the following regions: 
• Americas

Leading vendor analysis included in the report
• HP
• Dell

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,, SAS, Sogeti Healthcare, Teradata, and UnitedHealth.

Key questions answered in the report
• What are the key factors driving the big data enabled market?
• What are the key market trends impacting the growth of the big data enabled market?
• What are the various opportunities and threats faced by the vendors in the big data enabled market? 
• Trending factors influencing the market shares for EMEA, APAC, and Americas?
• Key outcome of the five forces analysis on the big data enabled market?
• Growth forecast of the big data enabled market until 2019?

Technavio also offers customization on reports based on specific client requirement.

Related reports
• Global Big Data IT Spending in Financial Sector- Market Research 2015-2019
• Global Big Data Spending in Healthcare Industry- Market Research 2015-2019
• Big Data Professional Services Market in Western Europe 2015-2019
• Global Big Data Professional Services Market 2015-2019
PART 01: Executive summary
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
Market size and forecast
Five forces analysis
PART 06: Market segmentation by application
Segmentation of global big data enabled market by application
Smart manufacturing
Mobile location-based services
Financial risk analytics
Smart oilfield
PART 07: Geographical segmentation
Segmentation of global big data enabled market by geography
PART 08: Market drivers
PART 09: Impact of drivers
PART 10: Market challenges
PART 11: Impact of drivers and challenges
PART 12: Market trends
PART 13: Vendor landscape
Competitive scenario
Major vendors
Other prominent vendors
PART 14: Key vendor analysis
PART 15: Appendix
List of abbreviation
PART 16: Explore Technavio
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
Exhibit 18: IBM: Global technology services segment
Exhibit 19: IBM: Global business services segment
Exhibit 20: HP: Business segmentation by revenue 2014
Exhibit 21: HP: Business segmentation by revenue 2013 and 2014 ($ billions)
Exhibit 22: HP: Geographical segmentation by revenue 2014
Exhibit 23: SAP: Business segmentation by revenue 2014
Exhibit 24: SAP: Business segmentation by revenue 2013 and 2014 ($ billions)
Exhibit 25: SAP: Geographical segmentation by revenue 2014
Publisher Name : Technavio

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