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Market Research Report

Big Data in Oil & Gas Market (Component - Software, Services ; Data Type - Structured, Unstructured, Semi-structured; Application - Global Industry Analysis, Size, Share, Growth, Trends, & Forecast 2018 - 2026

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Big Data in Oil & Gas Market (Component - Software, Services ; Data Type - Structured, Unstructured, Semi-structured; Application - Global Industry Analysis, Size, Share, Growth, Trends, & Forecast 2018 - 2026
Published: June 28, 2018 Content info: 242 Pages
Description

Title:
Big Data in Oil and Gas Market (Component - Software (Data analytics, Data Collection, Data Discovery and Visualization, Data Management), Services (Consulting, System Integration, Operation and Maintenance); Data Type - Structured, Unstructured, Semi-structured; Application - Upstream, Midstream, Downstream and Administration - Global Industry Analysis, Size, Share, Growth, Trends, and Forecast 2018 - 2026.

Big Data in Oil and Gas Market: Overview

The Big Data in Oil and Gas market report provides analysis of the Big Data in Oil and Gas market for the period 2016 -2026, wherein the years from 2018 to 2026 is the forecast period and 2017 is considered as the base year. The report covers all the major trends and technologies playing a major role in the growth of the Big Data in Oil and Gas market over the forecast period. It highlights the drivers, restraints, and opportunities expected to influence the market growth during this period. The study provides a holistic perspective on the market's growth in terms of revenue (in US$ Mn) across different geographical regions, namely North America, Europe, Asia Pacific, Middle East & Africa, and South America.

The market overview section of the report demonstrates market dynamics such as the drivers, restraints, and opportunities that influence the current nature and future status of this market, key trends, regulations and policies, IT spending analysis, ecosystem analysis, Porter's Five Force Analysis, and PESTEL analysis of the market. A market attractiveness analysis has been provided for every segment in the report, in order to provide a thorough understanding of the overall scenario in the Big Data in Oil and Gas market. The report also provides an overview of various strategies adopted by key players in the market.

Global Big Data in Oil and Gas Market: Scope of the Report

The report segments the market on the basis of component which are software and services. Software in the Big Data Oil and Gas market is further classified into data analytics, data collection, data discovery and visualization, and data management. Services are classified into consulting, system integration, and operation and maintenance. Further, the market is also segmented based on data type as structured, unstructured, and semi-structured. By application, the Big Data in Oil and Gas market is segmented into upstream (conventional, unconventional), midstream, downstream, and administration. The report provides in-depth segment analysis of the global Big Data in Oil and Gas market, thereby providing valuable insights at the macro as well as micro levels.

The report also provides the competitive landscape for the Big Data in Oil and Gas market, thereby listing out all the major players according to their geographic presence, market attractiveness, and recent key developments. The competitive landscape section of the report gives an overview about the market share of several key players for the year 2017. Big Data in Oil and Gas market data estimates are the result of our in-depth secondary research, primary interviews, and in-house expert panel reviews. These market estimates have been analyzed by taking into account the impact of different political, social, economic, technological, and legal factors along with the current market dynamics affecting the market growth. Moreover, the key takeaways section provided at the end of the competitive landscape section would help the operating companies to make the best moves in this market.

This report provides all the essential information required to understand the key developments in the Big Data Oil and Gas market, and growth trends of each segment and region. It also includes basic overview, sales area/geographical presence, revenue, strategy and developments under the company profile section. Also, the report provides insights related to trends and their impact on the market. Furthermore, Porter's Five Forces analysis explains the five forces, namely buyers bargaining power, suppliers bargaining power, threat of new entrants, threat of substitutes, and degree of competition in the market. This report also provides a comprehensive ecosystem analysis of the Big Data in Oil and Gas market.

Global Big Data in Oil and Gas Market: Research Methodology

The research methodology is a perfect combination of primary research, secondary research, and expert panel reviews. Secondary research sources such as annual reports, company websites, broker reports, financial reports, SEC filings and investor presentations, national government documents, internal and external proprietary databases, statistical databases, relevant patent and regulatory databases, market reports, government publications, statistical databases, World Bank database and industry white papers are referred.

Primary research involves telephonic interviews, e-mail interactions, and face-to-face interviews for detailed and unbiased reviews on the Big Data in Oil and Gas market, across geographies. Primary interviews are usually conducted on an ongoing basis with industry experts and participants in order to get latest market insights and validate the existing data and analysis. Primary interviews offer first-hand information on important factors such as market trends, market size, competitive landscape, growth trends and outlook etc. These factors help to validate and strengthen secondary research findings and also help to develop the analysis team's expertise and market understanding. Moreover, the data collected and analyzed from secondary and primary research is again discussed and examined by our expert panel.

Global Big Data in Oil and Gas Market: Competitive Dynamics

Accenture, Datawatch, Drillinginfo, Inc., Hitachi Vantara Corporation, HortonWorks, Inc., IBM Corporation, MapR Technologies, Inc., Microsoft Corporation, Oracle Corporation, SAP SE, SAS Institute, Inc., Cloudera, Inc., Palantir Solutions, Capgemini SE, and OSIsoft LLC are some of the key players that have been profiled in this study. Details such as financials, business strategies, key competitors, recent developments, and other such strategic information pertaining to these players have been provided as part of company profiling.

The global Big Data in Oil and Gas market is segmented as below:

Global Big Data in Oil and Gas Market, by Component

  • Software
    • Data Analytics
    • Data Collection
    • Data Discovery and Visualization
    • Data Management
  • Services
    • Consulting
    • System Integration
    • Operation and Maintenance

Global Big Data in Oil and Gas Market, by Data Type

  • Structured
  • Unstructured
  • Semi-structured

Global Big Data in Oil and Gas Market, by Application

  • Upstream
  • Conventional
  • Unconventional
  • Midstream
  • Downstream
  • Administration

Global Big Data in Oil and Gas Market, by Geography

  • North America
    • The U.S.
    • Canada
    • Rest of North America
  • Europe
    • The U.K
    • Germany
    • France
    • Rest of Europe
  • Asia Pacific (APAC)
    • India
    • China
    • Japan
    • Rest of APAC
  • Middle East & Africa (MEA)
    • GCC Countries
    • South Africa
    • Rest of MEA
  • South America
    • Brazil
    • Rest of South America
Table of Contents

Table of Contents

1. Preface

  • 1.1. Market Scope
  • 1.2. Market Segmentation
  • 1.3. Key Research Objectives

2. Assumptions and Research Methodology

  • 2.1. Market Taxonomy - Segment Definitions
  • 2.2. Research Methodology
    • 2.2.1. List of Primary and Secondary Sources
  • 2.3. Key Assumptions for Data Modeling

3. Executive Summary : Global Big Data in Oil & Gas

4. Market Overview

  • 4.1. Introduction
  • 4.2. Global Market - Macro Economic Factors Overview
  • 4.3. Porter's Five Forces Analysis - Global Big Data in Oil & Gas
  • 4.4. Technology/Product Roadmap
  • 4.5. Ecosystem Analysis - Global Big Data in Oil & Gas
  • 4.6. Market Dynamics
    • 4.6.1. Drivers
    • 4.6.2. Restraints
    • 4.6.3. Opportunities
    • 4.6.4. Impact Analysis of Drivers & Restraints
  • 4.7. Regulations and Policies - By Region
  • 4.8. Big Data Spending Analysis (2017)
    • 4.8.1. IT spending CAPEX analysis for Oil & Gas
    • 4.8.2. IT Spending, by Type (US$ Mn)
      • 4.8.2.1. Hardware
      • 4.8.2.2. Software/Platform
      • 4.8.2.3. Services
  • 4.9. Impact of IoT on Big Data Analytics in Oil & Gas
  • 4.10. Big Data Source Analysis (US$ Mn)
    • 4.10.1. Environmental
    • 4.10.2. Oceanographic
    • 4.10.3. Geological Data
    • 4.10.4. Economic
    • 4.10.5. Others
  • 4.11. Market Outlook
  • 4.12. Competitive Scenario and Trends
    • 4.12.1. List of New Entrants
    • 4.12.2. Mergers & Acquisitions, Expansions

5. Global Big Data in Oil & Gas Analysis and Forecast, by Component

  • 5.1. Overview
  • 5.2. Big Data in Oil & Gas Size (US$ Mn) Forecast, By Component, 2016 - 2026
    • 5.2.1. Software
      • 5.2.1.1. Data Analytics
      • 5.2.1.2. Data Collection
      • 5.2.1.3. Data Discovery and Visualization
      • 5.2.1.4. Data Management
    • 5.2.2. Services
      • 5.2.2.1. Consulting
      • 5.2.2.2. System Integration
      • 5.2.2.3. Operation and Maintenance
  • 5.3. Market Attractiveness by Component

6. Global Big Data in Oil & Gas Analysis and Forecast, by Data Type

  • 6.1. Overview & Definition
  • 6.2. Big Data in Oil & Gas Size (US$ Mn and Terabytes) Forecast, by Data Type, 2016 - 2026
    • 6.2.1. Structured Data
    • 6.2.2. Unstructured Data
    • 6.2.3. Semi-Structured Data
  • 6.3. Market Attractiveness by Data Type

7. Global Big Data in Oil & Gas Analysis and Forecast, by Application

  • 7.1. Overview
  • 7.2. Key Trends
  • 7.3. Big Data in Oil & Gas Size (US$ Mn and Terabytes) Forecast, by Application, 2016 - 2026
    • 7.3.1. Upstream
      • 7.3.1.1. Conventional
      • 7.3.1.2. Unconventional
    • 7.3.2. Midstream
    • 7.3.3. Downstream
    • 7.3.4. Administration
  • 7.4. Market Attractiveness by Application

8. Global Big Data in Oil & Gas Analysis and Forecast, by Region

  • 8.1. Key Findings
  • 8.2. Big Data in Oil & Gas Size (US$ Mn and Terabytes) Forecast, by Region, 2016 - 2026
    • 8.2.1. North America
    • 8.2.2. Europe
    • 8.2.3. Asia Pacific
    • 8.2.4. Middle East & Africa
    • 8.2.5. South America
  • 8.3. Market Attractiveness by Region

9. North America Big Data in Oil & Gas Analysis and Forecast

  • 9.1. Key Findings
  • 9.2. Key Trends
  • 9.3. Big Data in Oil & Gas Size (US$ Mn) Forecast, by Component, 2016 - 2026
    • 9.3.1. Software
      • 9.3.1.1. Data Analytics
      • 9.3.1.2. Data Collection
      • 9.3.1.3. Data Discovery and Visualization
      • 9.3.1.4. Data Management
    • 9.3.2. Services
      • 9.3.2.1. Consulting
      • 9.3.2.2. System Integration
      • 9.3.2.3. Operation and Maintenance
  • 9.4. Big Data in Oil & Gas Size (US$ Mn and Terabytes) Forecast, by Data Type, 2016 - 2026
    • 9.4.1. Structured Data
    • 9.4.2. Unstructured Data
    • 9.4.3. Semi-Structured Data
  • 9.5. Big Data in Oil & Gas Size (US$ Mn and Terabytes) Forecast, by Application, 2016 - 2026
    • 9.5.1. Upstream
      • 9.5.1.1. Conventional
      • 9.5.1.2. Unconventional
    • 9.5.2. Midstream
    • 9.5.3. Downstream
    • 9.5.4. Administration
  • 9.6. Big Data in Oil & Gas Size (US$ Mn and Terabytes) Forecast, by Country, 2016 - 2026
    • 9.6.1. The U.S.
    • 9.6.2. Canada
    • 9.6.3. Rest of North America
  • 9.7. Market Attractiveness Analysis
    • 9.7.1. by Component
    • 9.7.2. by Data Type
    • 9.7.3. by Application
    • 9.7.4. by Country

10. Europe Big Data in Oil & Gas Analysis and Forecast

  • 10.1. Key Findings
  • 10.2. Key Trends
  • 10.3. Big Data in Oil & Gas Size (US$ Mn) Forecast, by Component, 2016 - 2026
    • 10.3.1. Software
      • 10.3.1.1. Data Analytics
      • 10.3.1.2. Data Collection
      • 10.3.1.3. Data Discovery and Visualization
      • 10.3.1.4. Data Management
    • 10.3.2. Services
      • 10.3.2.1. Consulting
      • 10.3.2.2. System Integration
      • 10.3.2.3. Operation and Maintenance
  • 10.4. Big Data in Oil & Gas Size (US$ Mn and Terabytes) Forecast, by Data Type, 2016 - 2026
    • 10.4.1. Structured Data
    • 10.4.2. Unstructured Data
    • 10.4.3. Semi-Structured Data
  • 10.5. Big Data in Oil & Gas Size (US$ Mn and Terabytes) Forecast, by Application, 2016 - 2026
    • 10.5.1. Upstream
      • 10.5.1.1. Conventional
      • 10.5.1.2. Unconventional
    • 10.5.2. Midstream
    • 10.5.3. Downstream
    • 10.5.4. Administration
  • 10.6. Big Data in Oil & Gas Size (US$ Mn and Terabytes) Forecast, by Country, 2016 - 2026
    • 10.6.1. Germany
    • 10.6.2. France
    • 10.6.3. UK
    • 10.6.4. Rest of Europe
  • 10.7. Market Attractiveness Analysis
    • 10.7.1. by Component
    • 10.7.2. by Data Type
    • 10.7.3. by Application
    • 10.7.4. by Country

11. Asia Pacific Big Data in Oil & Gas Analysis and Forecast

  • 11.1. Key Findings
  • 11.2. Key Trends
  • 11.3. Big Data in Oil & Gas Size (US$) Forecast, by Component, 2016 - 2026
    • 11.3.1. Software
      • 11.3.1.1. Data Analytics
      • 11.3.1.2. Data Collection
      • 11.3.1.3. Data Discovery and Visualization
      • 11.3.1.4. Data Management
    • 11.3.2. Services
      • 11.3.2.1. Consulting
      • 11.3.2.2. System Integration
      • 11.3.2.3. Operation and Maintenance
  • 11.4. Big Data in Oil & Gas Size (US$ Mn and Terabytes) Forecast, by Data Type, 2016 - 2026
    • 11.4.1. Structured Data
    • 11.4.2. Unstructured Data
    • 11.4.3. Semi-Structured Data
  • 11.5. Big Data in Oil & Gas Size (US$ Mn and Terabytes) Forecast, by Application, 2016 - 2026
    • 11.5.1. Upstream
      • 11.5.1.1. Conventional
      • 11.5.1.2. Unconventional
    • 11.5.2. Midstream
    • 11.5.3. Downstream
    • 11.5.4. Administration
  • 11.6. Big Data in Oil & Gas Size (US$ Mn and Terabytes) Forecast, by Country, 2016 - 2026
    • 11.6.1. China
    • 11.6.2. Japan
    • 11.6.3. India
    • 11.6.4. Australia
    • 11.6.5. Rest of Asia Pacific
  • 11.7. Market Attractiveness Analysis
    • 11.7.1. by Component
    • 11.7.2. by Data Type
    • 11.7.3. by Application
    • 11.7.4. by Country

12. Middle East & Africa (MEA) Big Data in Oil & Gas Analysis and Forecast

  • 12.1. Key Findings
  • 12.2. Key Trends
  • 12.3. Big Data in Oil & Gas Size (US$) Forecast, by Component, 2016 - 2026
    • 12.3.1. Software
      • 12.3.1.1. Data Analytics
      • 12.3.1.2. Data Collection
      • 12.3.1.3. Data Discovery and Visualization
      • 12.3.1.4. Data Management
    • 12.3.2. Services
      • 12.3.2.1. Consulting
      • 12.3.2.2. System Integration
      • 12.3.2.3. Operation and Maintenance
  • 12.4. Big Data in Oil & Gas Size (US$ Mn and Terabytes) Forecast, by Data Type, 2016 - 2026
    • 12.4.1. Structured Data
    • 12.4.2. Unstructured Data
    • 12.4.3. Semi-Structured Data
  • 12.5. Big Data in Oil & Gas Size (US$ Mn and Terabytes) Forecast, by Application, 2016 - 2026
    • 12.5.1. Upstream
      • 12.5.1.1. Conventional
      • 12.5.1.2. Unconventional
    • 12.5.2. Midstream
    • 12.5.3. Downstream
    • 12.5.4. Administration
  • 12.6. Big Data in Oil & Gas Size (US$ Mn and Terabytes) Forecast, by Country, 2016 - 2026
    • 12.6.1. GCC
    • 12.6.2. South Africa
    • 12.6.3. Rest of MEA
  • 12.7. Market Attractiveness Analysis
    • 12.7.1. by Component
    • 12.7.2. by Data Type
    • 12.7.3. by Application
    • 12.7.4. by Country

13. South America Big Data in Oil & Gas Analysis and Forecast

  • 13.1. Key Findings
  • 13.2. Key Trends
  • 13.3. Big Data in Oil & Gas Size (US$ Mn) Forecast, by Component, 2016 - 2026
    • 13.3.1. Software
      • 13.3.1.1. Data Analytics
      • 13.3.1.2. Data Collection
      • 13.3.1.3. Data Discovery and Visualization
      • 13.3.1.4. Data Management
    • 13.3.2. Services
      • 13.3.2.1. Consulting
      • 13.3.2.2. System Integration
      • 13.3.2.3. Operation and Maintenance
  • 13.4. Big Data in Oil & Gas Size (US$ Mn and Terabytes) Forecast, by Data Type, 2016 - 2026
    • 13.4.1. Structured Data
    • 13.4.2. Unstructured Data
    • 13.4.3. Semi-Structured Data
  • 13.5. Big Data in Oil & Gas Size (US$ Mn and Terabytes) Forecast, by Application, 2016 - 2026
    • 13.5.1. Upstream
      • 13.5.1.1. Conventional
      • 13.5.1.2. Unconventional
    • 13.5.2. Midstream
    • 13.5.3. Downstream
    • 13.5.4. Administration
  • 13.6. Big Data in Oil & Gas Size (US$ Mn and Terabytes) Forecast, by Country, 2016 - 2026
    • 13.6.1. Brazil
    • 13.6.2. Rest of South America
  • 13.7. Market Attractiveness Analysis
    • 13.7.1. by Component
    • 13.7.2. by Data Type
    • 13.7.3. by Application
    • 13.7.4. by Industry
    • 13.7.5. by Country

14. Competition Landscape

  • 14.1. Market Player - Competition Matrix
  • 14.2. Market Revenue Share Analysis (%), by Company (2017)

15. Company Profiles(Details - Basic Overview, , Key Competitors, Revenue, Strategy, Recent Developments)

  • 15.1. Accenture
    • 15.1.1. Overview
    • 15.1.2. SWOT
    • 15.1.3. Financial Overview
    • 15.1.4. Strategy
  • 15.2. Datameer
    • 15.2.1. Overview
    • 15.2.2. SWOT
    • 15.2.3. Financial Overview
    • 15.2.4. Strategy
  • 15.3. Datawatch
    • 15.3.1. Overview
    • 15.3.2. SWOT
    • 15.3.3. Financial Overview
    • 15.3.4. Strategy
  • 15.4. Drillinginfo Inc.
    • 15.4.1. Overview
    • 15.4.2. SWOT
    • 15.4.3. Financial Overview
    • 15.4.4. Strategy
  • 15.5. General Electric
    • 15.5.1. Overview
    • 15.5.2. SWOT
    • 15.5.3. Financial Overview
    • 15.5.4. Strategy
  • 15.6. Hitachi Vantara Corporation
    • 15.6.1. Overview
    • 15.6.2. SWOT
    • 15.6.3. Financial Overview
    • 15.6.4. Strategy
  • 15.7. Hortonworks Inc.
    • 15.7.1. Overview
    • 15.7.2. SWOT
    • 15.7.3. Financial Overview
    • 15.7.4. Strategy
  • 15.8. International Business Machines Corporation
    • 15.8.1. Overview
    • 15.8.2. SWOT
    • 15.8.3. Financial Overview
    • 15.8.4. Strategy
  • 15.9. MapR Technologies, Inc.
    • 15.9.1. Overview
    • 15.9.2. SWOT
    • 15.9.3. Financial Overview
    • 15.9.4. Strategy
  • 15.10. Microsoft Corporation
    • 15.10.1. Overview
    • 15.10.2. SWOT
    • 15.10.3. Financial Overview
    • 15.10.4. Strategy
  • 15.11. Northwest Analytics Inc.
    • 15.11.1. Overview
    • 15.11.2. SWOT
    • 15.11.3. Financial Overview
    • 15.11.4. Strategy
  • 15.12. Oracle Corporation
    • 15.12.1. Overview
    • 15.12.2. SWOT
    • 15.12.3. Financial Overview
    • 15.12.4. Strategy
  • 15.13. OSIsoft
    • 15.13.1. Overview
    • 15.13.2. SWOT
    • 15.13.3. Financial Overview
    • 15.13.4. Strategy
  • 15.14. Palantir Economic Solutions Ltd
    • 15.14.1. Overview
    • 15.14.2. SWOT
    • 15.14.3. Financial Overview
    • 15.14.4. Strategy
  • 15.15. SAP SE
    • 15.15.1. Overview
    • 15.15.2. SWOT
    • 15.15.3. Financial Overview
    • 15.15.4. Strategy
  • 15.16. SAS Institute Inc.
    • 15.16.1. Overview
    • 15.16.2. SWOT
    • 15.16.3. Financial Overview
    • 15.16.4. Strategy
  • 15.17. Capgemini SE
    • 15.17.1. Overview
    • 15.17.2. SWOT
    • 15.17.3. Financial Overview
    • 15.17.4. Strategy
  • 15.18. Cloudera, Inc.
    • 15.18.1. Overview
    • 15.18.2. SWOT
    • 15.18.3. Financial Overview
    • 15.18.4. Strategy

16. Key Takeaways

List of Tables

  • Table 1: Big Data in Oil and Gas Market, By Data Source (US$ Mn)
  • Table 2: Global Big Data in Oil and Gas Market Revenue (US$ Mn) Forecast, By Component, 2016 - 2026
  • Table 3: Global Big Data in Oil and Gas Market Revenue (US$ Mn) Forecast, By Software, 2016 - 2026
  • Table 4: Global Big Data in Oil and Gas Market Revenue (US$ Mn) Forecast, By Services, 2016 - 2026
  • Table 5: Global Big Data in Oil and Gas Market Revenue (US$ Mn) Forecast, By Data Type, 2016 - 2026
  • Table 6: Global Big Data in Oil and Gas Market Revenue (US$ Mn) Forecast, By Application, 2016 - 2026
  • Table 7: Global Big Data in Oil and Gas Market Revenue (US$ Mn) Forecast, By Region, 2016 - 2026
  • Table 8: North America Big Data in Oil and Gas Market Revenue (US$ Mn) Forecast, By Component, 2016 - 2026
  • Table 9: North America Big Data in Oil and Gas Market Revenue (US$ Mn) Forecast, By Software, 2016 - 2026
  • Table 10: North America Big Data in Oil and Gas Market Revenue (US$ Mn) Forecast, By Services, 2016 - 2026
  • Table 11: North America Big Data in Oil and Gas Market Revenue (US$ Mn) Forecast, By Data Type, 2016 - 2026
  • Table 12: North America Big Data in Oil and Gas Market Revenue (US$ Mn) Forecast, By Application, 2016 - 2026
  • Table 13: North America Big Data in Oil and Gas Market Revenue (US$ Mn) Forecast, By Country, 2016 - 2026
  • Table 14: Europe Big Data in Oil and Gas Market Revenue (US$ Mn) Forecast, By Component, 2016 - 2026
  • Table 15: Europe Big Data in Oil and Gas Market Revenue (US$ Mn) Forecast, By Software, 2016 - 2026
  • Table 16: Europe Big Data in Oil and Gas Market Revenue (US$ Mn) Forecast, By Services, 2016 - 2026
  • Table 17: Europe Big Data in Oil and Gas Market Revenue (US$ Mn) Forecast, By Data Type, 2016 - 2026
  • Table 18: Europe Big Data in Oil and Gas Market Revenue (US$ Mn) Forecast, By Application, 2016 - 2026
  • Table 19: Europe Big Data in Oil and Gas Market Revenue (US$ Mn) Forecast, By Country, 2016 - 2026
  • Table 20: Asia Pacific Big Data in Oil and Gas Market Revenue (US$ Mn) Forecast, By Component, 2016 - 2026
  • Table 21: Asia Pacific Big Data in Oil and Gas Market Revenue (US$ Mn) Forecast, By Software, 2016 - 2026
  • Table 22: Asia Pacific Big Data in Oil and Gas Market Revenue (US$ Mn) Forecast, By Services, 2016 - 2026
  • Table 23: Asia Pacific Big Data in Oil and Gas Market Revenue (US$ Mn) Forecast, By Data Type, 2016 - 2026
  • Table 24: Asia Pacific Big Data in Oil and Gas Market Revenue (US$ Mn) Forecast, By Application, 2016 - 2026
  • Table 25: Asia Pacific Big Data in Oil and Gas Market Revenue (US$ Mn) Forecast, By Country, 2016 - 2026
  • Table 26: Middle East and Africa Big Data in Oil and Gas Market Revenue (US$ Mn) Forecast, By Component, 2016 - 2026
  • Table 27: Middle East and Africa Big Data in Oil and Gas Market Revenue (US$ Mn) Forecast, By Software, 2016 - 2026
  • Table 28: Middle East and Africa Big Data in Oil and Gas Market Revenue (US$ Mn) Forecast, By Services, 2016 - 2026
  • Table 29: Middle East and Africa Big Data in Oil and Gas Market Revenue (US$ Mn) Forecast, By Data Type, 2016 - 2026
  • Table 31: Middle East & Africa Big Data in Oil and Gas Market Revenue (US$ Mn) Forecast, By Country, 2016 - 2026
  • Table 32: South America Big Data in Oil and Gas Market Revenue (US$ Mn) Forecast, By Component, 2016 - 2026
  • Table 33: South America Big Data in Oil and Gas Market Revenue (US$ Mn) Forecast, By Software, 2016 - 2026
  • Table 34: South America Big Data in Oil and Gas Market Revenue (US$ Mn) Forecast, By Services, 2016 - 2026
  • Table 35: South America Big Data in Oil and Gas Market Revenue (US$ Mn) Forecast, By Data Type, 2016 - 2026
  • Table 36: South America Big Data in Oil and Gas Market Revenue (US$ Mn) Forecast, By Application, 2016 - 2026
  • Table 37: South America Big Data in Oil and Gas Market Revenue (US$ Mn) Forecast, By Country, 2016 - 2026

List of Figures

  • Figure 1: Research Methodology
  • Figure 2: Big Data in Oil and Gas Market
  • Figure 3: Global Oil and Gas CAPEX (US$ Bn), 2015 - 2027
  • Figure 4: Global Oil and Gas IT Spending CAPEX (US$ Bn), 2015 - 2027
  • Figure 5: Global Oil and Gas IT Spending CAPEX, By Type (US$ Bn)
  • Figure 6: Global Oil and Gas IT Spending CAPEX, By Type (% Share)
  • Figure 7: Global Big Data in Oil and Gas Market Revenue (US$ Mn) and Y-o-Y Forecast, 2018- 2026
  • Figure 8: Global Big Data in Oil and Gas Opportunity Growth Analysis (US$ Mn) Forecast, 2016 - 2026
  • Figure 9: Global Big Data in Oil and Gas Market Share Analysis, By Component (2018)
  • Figure 10: Global Big Data in Oil and Gas Market Share Analysis, By Component (2026)
  • Figure 11: Global Big Data in Oil and Gas Market Share Analysis, By Software (2018)
  • Figure 12: Global Big Data in Oil and Gas Market Share Analysis, By Software (2026)
  • Figure 13: Global Big Data in Oil and Gas Market Share Analysis, By Services (2018)
  • Figure 14: Global Big Data in Oil and Gas Market Share Analysis, By Services (2026)
  • Figure 15: Global Big Data in Oil and Gas Market Attractiveness Analysis, By Component, 2016 - 2026
  • Figure 16: Global Big Data in Oil and Gas Market Attractiveness Analysis, By Software, 2016 - 2026
  • Figure 17: Global Big Data in Oil and Gas Market Attractiveness Analysis, By Services, 2016 - 2026
  • Figure 18: Global Big Data in Oil and Gas Market Share Analysis, By Data Type (2018)
  • Figure 19: Global Big Data in Oil and Gas Market Share Analysis, By Data Type (2026)
  • Figure 20: Global Big Data in Oil and Gas Market Attractiveness Analysis, By Data Type, 2016 - 2026
  • Figure 21: Global Big Data in Oil and Gas Market Share Analysis, By Application (2018)
  • Figure 22: Global Big Data in Oil and Gas Market Share Analysis, By Application (2026)
  • Figure 23: Global Big Data in Oil and Gas Market Attractiveness Analysis, By Application, 2016 - 2026
  • Figure 24: Global Big Data in Oil and Gas Market Share Analysis, By Region (2018)
  • Figure 25: Global Big Data in Oil and Gas Market Share Analysis, By Region (2026)
  • Figure 26: Global Big Data in Oil and Gas Market Attractiveness Analysis, by Region
  • Figure 27: North America Big Data in Oil and Gas Market Revenue (US$ Mn) and Y-o-Y Forecast, 2018- 2026
  • Figure 28: North America Big Data in Oil and Gas Opportunity Growth Analysis (US$ Mn) Forecast, 2016 - 2026
  • Figure 29: North America Big Data in Oil and Gas Market Share Analysis, By Component (2018)
  • Figure 30: North America Big Data in Oil and Gas Market Share Analysis, By Component (2026)
  • Figure 31:North America Big Data in Oil and Gas Market Share Analysis, By Software (2018)
  • Figure 32: North America Big Data in Oil and Gas Market Share Analysis, By Software (2026)
  • Figure 33: North America Big Data in Oil and Gas Market Share Analysis, By Services (2018)
  • Figure 34: North America Big Data in Oil and Gas Market Share Analysis, By Services (2026)
  • Figure 35: North America Big Data in Oil and Gas Market Share Analysis, By Data Type (2018)
  • Figure 36: North America Big Data in Oil and Gas Market Share Analysis, By Data Type (2026)
  • Figure 37: North America Big Data in Oil and Gas Market Share Analysis, By Application (2018)
  • Figure 38: North America Big Data in Oil and Gas Market Share Analysis, By Application (2026)
  • Figure 39: North America Big Data in Oil and Gas Market Share Analysis, By Country (2018)
  • Figure 40: North America Big Data in Oil and Gas Market Share Analysis, By Country (2026)
  • Figure 41: North America Big Data in Oil and Gas Market Attractiveness Forecast, By Component, 2016 - 2026
  • Figure 42: North America Big Data in Oil and Gas Market Attractiveness, By Software, 2016 - 2026
  • Figure 43: North America Big Data in Oil and Gas Market Attractiveness, By Services, 2016 - 2026
  • Figure 44: North America Big Data in Oil and Gas Market Attractiveness, By Data Type, 2016 - 2026
  • Figure 45: North America Big Data in Oil and Gas Market Attractiveness, By Application, 2016 - 2026
  • Figure 46: Europe Big Data in Oil and Gas Market Revenue (US$ Mn) and Y-o-Y Forecast, 2018- 2026
  • Figure 47: Europe Big Data in Oil and Gas Opportunity Growth Analysis (US$ Mn) Forecast, 2016 - 2026
  • Figure 48: Europe Big Data in Oil and Gas Market Share Analysis, By Component (2018)
  • Figure 49: Europe Big Data in Oil and Gas Market Share Analysis, By Component (2026)
  • Figure 50: Europe Big Data in Oil and Gas Market Share Analysis, By Software (2018)
  • Figure 51: Europe Big Data in Oil and Gas Market Share Analysis, By Software (2026)
  • Figure 52: Europe Big Data in Oil and Gas Market Share Analysis, By Services (2018)
  • Figure 53: Europe Big Data in Oil and Gas Market Share Analysis, By Services (2026)
  • Figure 54: Europe Big Data in Oil and Gas Market Share Analysis, By Data Type (2018)
  • Figure 55: Europe Big Data in Oil and Gas Market Share Analysis, By Data Type (2026)
  • Figure 56: Europe Big Data in Oil and Gas Market Share Analysis, By Application (2018)
  • Figure 57: Europe Big Data in Oil and Gas Market Share Analysis, By Application (2026)
  • Figure 58: Europe Big Data in Oil and Gas Market Share Analysis, By Country (2018)
  • Figure 59: Europe Big Data in Oil and Gas Market Share Analysis, By Country (2026)
  • Figure 60: Europe Big Data in Oil and Gas Market Attractiveness Forecast, By Component, 2016 - 2026
  • Figure 61: Europe Big Data in Oil and Gas Market Attractiveness, By Software, 2016 - 2026
  • Figure 62: Europe Big Data in Oil and Gas Market Attractiveness, By Services, 2016 - 2026
  • Figure 63: Europe Big Data in Oil and Gas Market Attractiveness, By Data Type, 2016 - 2026
  • Figure 64: Europe Big Data in Oil and Gas Market Attractiveness, By Application, 2016 - 2026
  • Figure 65: Asia Pacific Big Data in Oil and Gas Market Revenue (US$ Mn) and Y-o-Y Forecast, 2018- 2026
  • Figure 66: Asia Pacific Big Data in Oil and Gas Opportunity Growth Analysis (US$ Mn) Forecast, 2016 - 2026
  • Figure 67: Asia Pacific Big Data in Oil and Gas Market Share Analysis, By Component (2018)
  • Figure 68: Asia Pacific Big Data in Oil and Gas Market Share Analysis, By Component (2026)
  • Figure 69: Asia Pacific Big Data in Oil and Gas Market Share Analysis, By Software (2018)
  • Figure 70: Asia Pacific Big Data in Oil and Gas Market Share Analysis, By Software (2026)
  • Figure 71: Asia Pacific Big Data in Oil and Gas Market Share Analysis, By Services (2018)
  • Figure 72: Asia Pacific Big Data in Oil and Gas Market Share Analysis, By Services (2026)
  • Figure 73: Asia Pacific Big Data in Oil and Gas Market Share Analysis, By Data Type (2018)
  • Figure 74: Asia Pacific Big Data in Oil and Gas Market Share Analysis, By Data Type (2026)
  • Figure 75: Asia Pacific Big Data in Oil and Gas Market Share Analysis, By Application (2018)
  • Figure 76: Asia Pacific Big Data in Oil and Gas Market Share Analysis, By Application (2026)
  • Figure 77: Asia Pacific Big Data in Oil and Gas Market Share Analysis, By Country (2018)
  • Figure 78: Asia Pacific Talent Big Data in Oil and Gas Market Share Analysis, By Country (2026)
  • Figure 79: APAC Big Data in Oil and Gas Market Attractiveness Forecast, By Component, 2016 - 2026
  • Figure 80: APAC Big Data in Oil and Gas Market Attractiveness, By Software, 2016 - 2026
  • Figure 81: APAC Big Data in Oil and Gas Market Attractiveness, By Services, 2016 - 2026
  • Figure 82: APAC Big Data in Oil and Gas Market Attractiveness, By Data Type, 2016 - 2026
  • Figure 83: APAC Big Data in Oil and Gas Market Attractiveness, By Application, 2016 - 2026
  • Figure 84: Middle East & Africa Big Data in Oil and Gas Market Revenue (US$ Mn) and Y-o-Y Forecast, 2018- 2026
  • Figure 85: Middle East & Africa Big Data in Oil and Gas Opportunity Growth Analysis (US$ Mn) Forecast, 2016 - 2026
  • Figure 86: Middle East and Africa Big Data in Oil and Gas Market Share Analysis, By Component (2018)
  • Figure 87: Middle East and Africa Big Data in Oil and Gas Market Share Analysis, By Component (2026)
  • Figure 88: Middle East and Africa Big Data in Oil and Gas Market Share Analysis, By Software (2018)
  • Figure 89: Middle East and Africa Big Data in Oil and Gas Market Share Analysis, By Software (2026)
  • Figure 90: Middle East and Africa Big Data in Oil and Gas Market Share Analysis, By Services (2018)
  • Figure 91: Middle East and Africa Big Data in Oil and Gas Market Share Analysis, By Services (2026)
  • Figure 92: Middle East and Africa Big Data in Oil and Gas Market Share Analysis, By Data Type (2018)
  • Figure 93: Middle East and Africa Big Data in Oil and Gas Market Share Analysis, By Data Type (2026)
  • Figure 30: Middle East and Africa Big Data in Oil and Gas Market Revenue (US$ Mn) Forecast, By Application, 2016 - 2026
  • Figure 94: Middle East and Africa Big Data in Oil and Gas Market Share Analysis, By Application (2018)
  • Figure 95: Middle East and Africa Big Data in Oil and Gas Market Share Analysis, By Application (2026)
  • Figure 96: Middle East & Africa Big Data in Oil and Gas Market Share Analysis, By Country (2018)
  • Figure 97: Middle East & Africa Big Data in Oil and Gas Market Share Analysis, By Country (2026)
  • Figure 98: Middle East & Africa Big Data in Oil and Gas Market Attractiveness Forecast, By Component, 2016 - 2026
  • Figure 99: Middle East & Africa Big Data in Oil and Gas Market Attractiveness, By Software, 2016 - 2026
  • Figure 100: Middle East & Africa Big Data in Oil and Gas Market Attractiveness, By Services, 2016 - 2026
  • Figure 101: Middle East & Africa Big Data in Oil and Gas Market Attractiveness, By Data Type, 2016 - 2026
  • Figure 102: Middle East & Africa Big Data in Oil and Gas Market Attractiveness, By Application, 2016 - 2026
  • Figure 103: South America Big Data in Oil and Gas Market Revenue (US$ Mn) and Y-o-Y Forecast, 2018- 2026
  • Figure 104: South America Big Data in Oil and Gas Opportunity Growth Analysis (US$ Mn) Forecast, 2016 - 2026
  • Figure 105: South America Big Data in Oil and Gas Market Share Analysis, By Component (2018)
  • Figure 106: South America Big Data in Oil and Gas Market Share Analysis, By Component (2026)
  • Figure 107: South America Big Data in Oil and Gas Market Share Analysis, By Software (2018)
  • Figure 108: South America Big Data in Oil and Gas Market Share Analysis, By Software (2026)
  • Figure 109: South America Big Data in Oil and Gas Market Share Analysis, By Services (2018)
  • Figure 110: South America Big Data in Oil and Gas Market Share Analysis, By Services (2026)
  • Figure 111: South America Big Data in Oil and Gas Market Share Analysis, By Data Type (2018)
  • Figure 112: South America Big Data in Oil and Gas Market Share Analysis, By Data Type (2026)
  • Figure 113: South America Big Data in Oil and Gas Market Share Analysis, By Application (2018)
  • Figure 114: South America Big Data in Oil and Gas Market Share Analysis, By Application (2026)
  • Figure 115: South America Big Data in Oil and Gas Market Share Analysis, By Country (2018)
  • Figure 116: South America Big Data in Oil and Gas Market Share Analysis, By Country (2026)
  • Figure 117: South America Big Data in Oil and Gas Market Attractiveness Forecast, By Component, 2016 - 2026
  • Figure 118: South America Big Data in Oil and Gas Market Attractiveness, By Software, 2016 - 2026
  • Figure 119: South America Big Data in Oil and Gas Market Attractiveness, By Services, 2016 - 2026
  • Figure 120: South America Big Data in Oil and Gas Market Attractiveness, By Data Type, 2016 - 2026
  • Figure 121: South America Big Data in Oil and Gas Market Attractiveness, By Application, 2016 - 2026
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