About Big Data in Oil and Gas sector Big data solutions are the wide range of solutions required for processing and analyzing enterprise data, which are too large for traditional data processing tools to manage. The oil and gas sector generates various types of structured and unstructured data. The type of data ranges from terabytes (10^12 bytes) to zettabytes (10^21 bytes) in size. Big data solutions are used in the oil and gas sector to provide a fast consolidated view of organization-wide information. Big data solutions also help organizations to improve their operational performance and maximize profitability. Technavios analysts forecast the global big data market in the oil and gas sector to grow at a CAGR of 30.67% 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 oil and gas sector for the period 2016?2020. To calculate the market size, the report considers the revenue generated from the sales of big data solutions in the oil... Research Beam Model: Research Beam Product ID: 383379 2500 USD New
Global Big Data Market in the Oil and Gas Sector 2016-2020
 
 

Global Big Data Market in the Oil and Gas Sector 2016-2020

  • Category : ICT & Media
  • Published On : January   2016
  • Pages : 63
  • Publisher : Technavio
 
 
 
About Big Data in Oil and Gas sector

Big data solutions are the wide range of solutions required for processing and analyzing enterprise data, which are too large for traditional data processing tools to manage. The oil and gas sector generates various types of structured and unstructured data.

The type of data ranges from terabytes (10^12 bytes) to zettabytes (10^21 bytes) in size. Big data solutions are used in the oil and gas sector to provide a fast consolidated view of organization-wide information. Big data solutions also help organizations to improve their operational performance and maximize profitability.

Technavios analysts forecast the global big data market in the oil and gas sector to grow at a CAGR of 30.67% 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 oil and gas sector for the period 2016?2020. To calculate the market size, the report considers the revenue generated from the sales of big data solutions in the oil and gas sector from the following:
Software licenses and subscriptions
Software implementation costs
Technical support and maintenance costs

Technavios report, Global Big Data in Oil and Gas 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
HP
IBM
Oracle
Teradata

Other prominent vendors
Actian
Alteryx
Basho
Cloudera
Datameer
Digital Reasoning
DataStax
Guavus
Kognitio
MapR
Opera Solutions
Splunk.

Market driver
Huge amounts of data
For a full, detailed list, view our report

Market challenge
Lack of awareness
For a full, detailed list, view our report

Market trend
Adoption of user-friendly predictive modeling
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?

You can request one free hour of our analysts time when you purchase this market report. Details are provided within the report.
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: Big data overview
Definition of Big data
Big Data in oil and gas sector
Industry dynamics

PART 06: Market landscape
Market overview
Market size and forecast
Big data in oil and gas sector as segment of big data in all sectors
Five forces analysis

PART 07: Market segmentation by product
Services
Software

PART 08: Geographical segmentation

PART 09: Market drivers
Huge amounts of data
Increased demand for enhanced BI solutions
Need to improve productivity in oil and gas sector
Demand for easy data access

PART 10: Impact of drivers

PART 11: Market challenges
Lack of awareness
Lack of talented professionals
Industry barriers
Data security and privacy issues

PART 12: Impact of drivers and challenges

PART 13: Market trends
Adoption of user-friendly predictive modeling
Increased demand for advanced analytics
Emergence of cloud computing technology

PART 14: Vendor landscape
Vendor analysis
Promising pure players of big data market
Other prominent vendors

PART 15: Key vendor analysis
HP
IBM
Oracle
Teradata

PART 16: Appendix
List of abbreviations

PART 17: Explore Technavio

List of Exhibits
Exhibit 01: Product offerings
Exhibit 02: Big data initiatives in oil and gas sector
Exhibit 03: Investments in oil and gas industry
Exhibit 04: Global big data market in oil and gas sector 2015-2020 ($ billions)
Exhibit 05: Percentage of oil and gas sector in big data market
Exhibit 06: Five forces analysis
Exhibit 07: Big data market segmentation by product
Exhibit 08: Geographical segmentation of big data in oil and gas sector 2015
Exhibit 09: Drivers of big data market in oil and gas sector
Exhibit 10: Impact of drivers
Exhibit 11: Market challenges of the big data market in oil and gas sector
Exhibit 12: Impact of drivers and challenges
Exhibit 13: Market trends for big data market in oil and gas sector
Exhibit 14: HP: Business segmentation by revenue 2014
Exhibit 15: HP: Business segmentation by revenue 2013 and 2014 ($ billions)
Exhibit 16: HP: Geographical segmentation by revenue 2014
Exhibit 17: IBM: Business segmentation by revenue 2014
Exhibit 18: IBM: Business segmentation by the revenue 2013 and 2014 ($ billions)
Exhibit 19: IBM: Geographical segmentation by revenue 2014
Exhibit 20: Oracle: Business segmentation by revenue 2014
Exhibit 21: Oracle: Business segmentation by the revenue 2013 and 2014 ($ millions)
Exhibit 22: Oracle: Geographical segmentation by revenue 2014
Exhibit 23: Teradata: Revenue recognition 2014
Exhibit 24: Teradata: Revenue recognition 2013 and 2014 ($ billions)
Exhibit 25: Teradata: Geographical segmentation by revenue 2014

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