The report provides in depth study of “Big Data Enabled” using SWOT analysis i.e. Strength, Weakness, Opportunities and Threat to the organization
PUNE, INDIA, November 24, 2017 /EINPresswire.com/ —
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.
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Geographical segmentation of the big data enabled market
The report presents a detailed analysis of the market shares of the following regions:
Leading vendor analysis included in the report
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.
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?
Table of Contents:
PART 01: Executive summary
PART 02: Scope of the report
PART 03: Market research methodology
PART 04: Introduction
Key market highlights
PART 05: Market landscape
Market size and forecast
Five forces analysis
PART 06: Market segmentation by application
Segmentation of global big data enabled market by application
Mobile location-based services
Financial risk analytics
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
Other prominent vendors
PART 14: Key vendor analysis
PART 15: Appendix
List of abbreviation
PART 16: Explore Technavio
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Source: EIN Presswire