1. Executive Summary
2. Research Methodology
3. Market Overview
3.1 Introduction
3.2 Markets Covered
3.3 Market Demand till 2022
3.4 Recent Trends and Opportunities
3.5 Government Policies and Regulations
4. Market Dynamics
4.1 Drivers
4.2 Constraints
4.3 Opportunities
4.4 Big Data in Oil & Gas Exploration and Production (E&P) Value Chain Analysis
4.5 Porters Five Force Analysis
4.5.1 Bargaining Power of Supplier
4.5.2 Bargaining Power of Consumers
4.5.3 Threat of New Entrants
4.5.4 Threat of Substitute Products and Services
4.5.5 Degree of Competition
5. Big Data Technologies Classification in Oil & Gas Exploration and Production (E&P) Market
5.1 Hardware
5.1.1 Computational Devices
5.1.2 Storage Devices
5.1.3 Networking Devices
5.2 Services
5.2.1 Implementation Tools
5.2.1.1 R
5.2.1.2 Python
5.2.1.3 Enterprise Control Language (ECL)
5.2.1.4 Apache PIG
5.2.1.5 SAS
5.2.1.6 SPSS
5.2.1.7 Others
5.2.2 Database
5.2.2.1 Mongo DB
5.2.2.2 Neo 4j
5.2.2.3 Apache Cassandra
5.2.2.4 Hypertable
5.2.2.5 HyperDex
5.2.2.6 Others
5.2.3 Software Framework
5.2.3.1 Microsoft Upstream Reference Architecture (MURA)
5.2.3.2 Apache Hadoop
5.2.3.3 Spark
5.2.3.4 High Performance Computing Cluster (HPCC)
5.2.3.5 Others
5.2.4 Maintainance
5.2.5 Consulting
6. Big Data in Oil & Gas Exploration and Production (E&P) Market Analysis, by Geography
6.1 North America
6.2 Europe
6.3 Africa
6.4 South and Central America
6.5 Asia-Pacific
6.6 Middle East
7. Key Company Analysis
7.1 Microsoft
7.2 Siemens
7.3 IBM
7.4 SAP
7.5 Accenture
7.6 Palantir
7.7 SAS
7.8 Oracle
7.9 Tabluau
7.10 Teradata
8. Competitive Landscape
8.1 Mergers & Acquisitions
8.2 Joint Ventures, Collaborations and Agreements
8.3 Market Share Analysis
9. Appendix
9.1 Contact Us
9.2 Disclaimer