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石油与天然气市场大数据 - 2018-2028 年全球产业规模、份额、趋势、机会与预测，按组成部分、按应用、按资料类型、按地区细分

Big Data in Oil & Gas Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, 2018-2028 Segmented By Components, By Application, By Data Type, By Region
出版日期: | 出版商: TechSci Research | 英文 174 Pages | 商品交期: 2-3个工作天内

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简介目录

预计 2024 年至 2028 年预测期内，全球石油和天然气市场大数据将稳定成长。

大数据分析的大量数据处理功能推动市场成长

市场概况
预测期 2024-2028
2022 年市场规模 70.1亿美元
2028 年市场规模 268.7亿美元
2023-2028 年复合年增长率 25.05%
成长最快的细分市场 软体
最大的市场 北美洲

许多产业仍在适应大资料和分析的概念。然而，石油和天然气行业一直是这些服务的最大用户之一，因为它使用大量资料来做出技术决策。为了了解动态并向市场展示新技术，过去几年，各能源公司在视觉化工具、地震软体和其他数位技术上投入了大量资金。

由于大资料分析是超过 88% 的公司的首要目标之一，因此只有约三分之一的企业准备提供该服务。海量资料是推动全球大资料产业的主要因素之一。公司需要大资料解决方案来自动记录其资讯技术系统中保存的资料的行为和效能。大多数企业利用大资料分析来监控其资产和设备、识别营运问题并促进修復。超过 60% 的企业已实施网路自动化，以在分散的环境（例如管道沿线或远端农场）中收集大量资料。

石油和汽油公司可以透过正确的技术解决方案从传统的即时监控过渡到更快的即时预测。他们还提供战术见解，有助于提高生产和钻井性能，同时透过快速审查传入的技术和业务资料并将这些资讯即时应用于复杂模型来避免问题。由于上述原因，预计市场在预测期内将进一步成长。

日益增长的环境和公共安全担忧

如上所述，石油和汽油业务在日常营运中产生大量资料。石油和天然气优化过程面临许多挑战。例如，在地表下寻找石油是一个非常困难的过程，油藏通常位于地球表面下 5,000 至 35,000 英尺处。定位和描述储层的唯一方法是透过低解析度影像和昂贵的测井曲线（在钻井之后）。虽然流体本身俱有复杂的化学和物理特性，但透过岩石移动到井眼是一项艰鉅的挑战。为了解决这个问题，各国的公司和政府正在转向大资料技术。由于这些因素，预计市场在预测期内将出现较高的复合年增长率。

从地下区域开采石油需要花费大量成本。生产一桶石油时必须考虑成本、数量和市场准入，这需要大量的科学、设备和劳动力。在石油勘探过程中可能会出现对环境和公共安全的担忧。因此，为了解决这个问题，人们正在采用大资料技术，因此预计市场在预测期内将出现较高的复合年增长率。

大数据可显着降低风险并优化与营运以及健康、安全和环境相关的成本：帮助避免钻井时出现不良后果（例如井涌）、预测钻机维护/停机时间、改善钻机参数、避免井喷、避免产生危险的工作条件并减少透过使用天气资料或劳动力调度资讯来识别环境危害。

石油和天然气产业投资不断成长推动市场成长

目前，石油需求的成长和油气产业投资的增加日益受到关注，油田大数据的需求也在快速成长。例如，在本财年，印度石油公司和巴拉特石油公司 (BPCL) 已经超越了其资本支出目标。根据石油部的资料，4月至2月期间，印度石油公司支出了1.524亿美元（约合3180亿卢比），而全年资本计划为34.76亿美元，BPCL支出了12.516亿美元，超出了其目标（1,217.5美元）。百万）10,00 亿卢比。此外，儘管石油输出国组织（OPEC）限制产量，但阿布达比未来五年仍将在石油和天然气领域投资4,480亿迪拉姆（1,220亿美元），以提高产能。阿布达比是阿美石油公司自 2019 年底上市以来的首笔重大投资，当时沙乌地阿拉伯政府以 294 亿美元的价格出售了该公司的少数股权，这是全球规模最大的首次公开募股。因此，全球石油和天然气产业对大资料分析的需求不断增长。

市场区隔

石油和天然气市场的全球大数据分为组件、应用程式、资料类型和区域。根据组件，市场进一步分为硬体、软体和服务。根据应用，市场进一步分为上游、中游和下游。根据资料类型，市场进一步分为结构化、非结构化、半结构化。依地区划分，市场分为北美、亚太、欧洲、南美、中东和非洲。

市场参与者

全球石油和天然气大数据市场的主要市场参与者包括埃森哲 PLC、思科系统公司、戴尔 EMC、惠普企业、IBM、微软、甲骨文公司、SAP 集团、SAS Institute Inc、Teradata 和 Hitachi Vantara。

报告范围：

在本报告中，除了下面详细介绍的产业趋势外，石油和天然气市场的全球大数据还分为以下几类。

石油和天然气市场大数据（按组成部分）：

  • 硬体
  • 软体
  • 服务

石油和天然气市场大数据（按应用）：

  • 上游
  • 中游
  • 下游

石油和天然气市场的大数据，依数据类型：

  • 结构化 非结构化
  • 半结构化

石油和天然气市场大数据（按地区）：

  • 北美洲
  • 美国
  • 加拿大
  • 墨西哥
  • 亚太
  • 中国
  • 印度
  • 日本
  • 韩国
  • 印尼
  • 欧洲
  • 德国
  • 英国
  • 法国
  • 俄罗斯
  • 西班牙
  • 南美洲
  • 巴西
  • 阿根廷
  • 中东和非洲
  • 沙乌地阿拉伯
  • 南非
  • 埃及
  • 阿联酋
  • 以色列

竞争格局

  • 公司概况：全球石油和天然气市场大数据中主要公司的详细分析。

可用的客製化：

  • 根据给定的市场资料，TechSci Research 可根据公司的具体需求提供客製化服务。该报告可以使用以下自订选项：

公司资讯

  • 其他市场参与者（最多五个）的详细分析和概况分析。

目录

第 1 章：服务概述

  • 市场定义
  • 市场范围
  • 涵盖的市场
  • 考虑学习的年份
  • 主要市场区隔

第 2 章：研究方法

  • 研究目的
  • 基线方法
  • 主要产业伙伴
  • 主要协会和二手资料来源
  • 预测方法
  • 数据三角测量与验证
  • 假设和限制

第 3 章：COVID-19 对全球石油和天然气市场大数据的影响

第 4 章：执行摘要

第 5 章：客户之声

第 6 章：全球石油与天然气大数据市场展望

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 按组件（硬体、软体、服务）
    • 按应用（上游、中游、下游）
    • 依资料类型（结构化、非结构化、半结构化）
    • 按地区
  • 按公司划分 (2022)
  • 市场地图

第 7 章：北美石油与天然气大数据市场展望

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 按组件
    • 按应用
    • 依资料类型
    • 按国家/地区
  • 北美：国家分析
    • 美国
    • 加拿大
    • 墨西哥

第 8 章：亚太地区石油与天然气大数据市场展望

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 按组件
    • 按应用
    • 依资料类型
    • 按国家/地区
  • 亚太地区：国家分析
    • 中国
    • 印度
    • 日本
    • 韩国
    • 印尼

第 9 章：欧洲石油与天然气大数据市场展望

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 按组件
    • 按应用
    • 依资料类型
    • 按国家/地区
  • 欧洲：国家分析
    • 德国
    • 英国
    • 法国
    • 俄罗斯
    • 西班牙

第 10 章：南美洲石油与天然气大数据市场展望

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 按组件
    • 按应用
    • 依资料类型
    • 按国家/地区
  • 南美洲：国家分析
    • 巴西
    • 阿根廷

第 11 章：中东和非洲石油和天然气大数据市场展望

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 按组件
    • 按应用
    • 依资料类型
    • 按国家/地区
  • 中东和非洲：国家分析
    • 沙乌地阿拉伯
    • 南非
    • 阿联酋
    • 以色列
    • 埃及

第 12 章：市场动态

  • 司机
  • 挑战

第 13 章：市场趋势与发展

第 14 章：公司简介

  • 埃森哲公司
    • Business Overview
    • Key Revenue and Financials (If Available)
    • Recent Developments
    • Key Personnel
    • Key Product/Services
  • 思科系统公司
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel
    • Key Product/Services
  • 戴尔易安信
    • Business Overview
    • Key Revenue and Financials (If Available)
    • Recent Developments
    • Key Personnel
    • Key Product/Services
  • 惠普企业
    • Business Overview
    • Key Revenue and Financials (If Available)
    • Recent Developments
    • Key Personnel
    • Key Product/Services
  • 国际商业机器公司
    • Business Overview
    • Key Revenue and Financials (If Available)
    • Recent Developments
    • Key Personnel
    • Key Product/Services
  • 微软
    • Business Overview
    • Key Revenue and Financials (If Available)
    • Recent Developments
    • Key Personnel
    • Key Product/Services
  • 甲骨文公司
    • Business Overview
    • Key Revenue and Financials
    • Recent Developments
    • Key Personnel
    • Key Product/Services
  • SAP集团
    • Business Overview
    • Key Revenue and Financials (If Available)
    • Recent Developments
    • Key Personnel
    • Key Product/Services
  • SAS 研究所公司
    • Business Overview
    • Key Revenue and Financials (If Available)
    • Recent Developments
    • Key Personnel
    • Key Product/Services
  • 泰拉数据
    • Business Overview
    • Key Revenue and Financials (If Available)
    • Recent Developments
    • Key Personnel
    • Key Product/Services
  • 日立万塔拉
    • Business Overview
    • Key Revenue and Financials (If Available)
    • Recent Developments
    • Key Personnel
    • Key Product/Services

第 15 章：策略建议

第 16 章：关于我们与免责声明

简介目录
Product Code: 15336

Global Big Data in Oil & Gas Market is expected to grow at a steady pace in the forecast period, 2024-2028.

Big Data, also known as Big Data analytics, is a relatively new technology that can be utilized to manage enormous datasets that have six key characteristics: volume, variety, velocity, veracity, value, and complexity. The processors in these reliable technologies must be very quick and accurate. The oil and gas sector has recently undergone a significant data intensive transformation because of the widespread use of data recording devices in exploration, drilling and production processes. Applications of big data in the oil and gas industry include improving reservoir characterization / simulation, reducing drilling time, increasing drilling safety, optimizing the performance of production pumps, improving petrochemical asset management, improving shipping and transportation, and improving workplace safety. Additionally, Big Data offers oil and gas companies a number of advantages, including the potential to extract more oil and gas from hydrocarbon reserves, lower capital and operating costs, boost the speed and accuracy of investment choices, enhance worker safety and health, and reduce environmental concerns.

Large Amount of Data Handling Feature of Big-Data Analytics Driving the Market Growth

Market Overview
Forecast Period2024-2028
Market Size 2022USD 7.01 Billion
Market Size 2028USD 26.87 Billion
CAGR 2023-202825.05%
Fastest Growing SegmentSoftware
Largest MarketNorth America

Numerous industries are still adjusting to the concept of big data and analytics. However, the oil and gas industry has been one of the biggest users of these services since it uses a lot of data to reach technical decisions. To comprehend dynamics and present new technologies to the market, various energy corporations have heavily invested in visualization tools, seismic software, and other digital technologies during the past few years.

As big data analytics is one of the top goals for more than 88% of the companies, only about one-third of the businesses are prepared to provide the service. Large amounts of data are one of the main factors driving the global big data industry. Companies need big data solutions to automatically record the behavior and performance of the data kept in their information technology systems. The majority of businesses utilize big data analytics to monitor their assets and equipment, identify operational problems, and facilitate repair. Over 60% have enforced network automation to assemble a large amount of data in diffused environments such as along pipelines or remote farms.

Oil and gasoline firms can transition from traditional real-time monitoring to quicker real-time prediction with the right technological solutions. They also produce tactical insights that aid in boosting production and drilling performance while averting problems by quickly reviewing incoming technical and business data and implementing that information to complex models in real-time. Owing to above mentioned reasons, the market is expected to grow further during the forecast period.

Growing Environmental & Public Safety Concern

As mentioned above, the oil and petrol business generate a significant amount of data from daily operations. There are many challenges in the oil & gas optimization process. For instance, finding oil below the surface is a very difficult process, reservoirs are generally 5,000 to 35,000 feet below the Earth's surface. The only ways to locate and describe the reservoirs are through low-resolution imagery and pricey well logs (after the wells are drilled). While fluids themselves are intricate with a variety of chemical and physical characteristics, moving via rock to the wellbore is a difficult challenge. To eliminate this problem, companies & governments of various nations are moving toward big data technology. Owing to these factors, the market is expected to register a high CAGR during the forecast period.

It costs a lot to generate oil from the sub-surface area. Cost, quantity, and market accessibility must all be considered while producing a barrel of oil, which requires a significant amount of science, equipment, and labor. Concerns about the environment and public safety may arise during oil exploration. Hence, to resolve this issue people are adopting big data technology owing to which the market is expected to register a high CAGR during the forecast period.

Big Data dramatically lowers risk and optimizes cost associated with operations and health, safety, and environment: Help Avoid undesirable outcomes while drilling, such as kicks, predicting drill maintenance/downtime, improving drill parameters, avoiding blowouts, ducking produced hazardous working conditions and reducing environmental hazards by using weather data or workforce scheduling information.

Growing Investment in Oil & Gas Sector Fueling the Market Growth

As of now, growing demand for oil and increasing investment in the oil & gas sector is gaining traction due to which need of Big Data in oil field is also growing rapidly. For instance, for the current financial year, Indian Oil Corp., and Bharat Petroleum (BPCL) have exceeded their capital spending goals. According to data from the oil ministry, between April and February, India Oil spent USD 152.4 million (Rs 31,800 crore) compared to the entire year's capital plan of USFD 3476 million, and BPCL spent USD 1251.6 million, exceeding its aim of (USD 1217.5 Million) Rs 10,000 crore. Moreover, even though OPEC (Organization of the Petroleum Exporting Countries) is restricting its output, Abu Dhabi will invest 448 billion dirhams (USD 122 billion) in oil and natural gas in order to increase production capacity, over the next five years. Abu Dhabi is the first major investment by Aramco since its listing in late 2019 when the Saudi government sold a minority stake in the firm for USD 29.4 billion in the world's biggest initial public offering. Owing to which, the global need of big data analytics is growing in the oil & gas sector.

Market Segmentation

The Global Big Data in Oil & Gas Market is divided into component, application, data type, and region. Based on component, the market is further divided into hardware, software and service. Based on application, the market is further split into upstream, midstream and downstream. Based on data type, the market is further divided into Structured, Unstructured, Semi-Structured. Based on region, the market is divided into North America, Asia-Pacific, Europe, South America, Middle East & Africa.

Market Players

Major market players in the Global Big Data in Oil & Gas Market are Accenture PLC, Cisco Systems, Inc, Dell EMC, Hewlett-Packard Enterprise, IBM, Microsoft, Oracle Corporation, SAP Group, SAS Institute Inc, Teradata, and Hitachi Vantara.

Report Scope:

In this report, the Global Big Data in Oil & Gas Market has been segmented into following categories, in addition to the industry trends which have also been detailed below.

Big Data in Oil & Gas Market, By Component:

  • Hardware
  • Software
  • Service

Big Data in Oil & Gas Market, By Application:

  • Upstream
  • Midstream
  • Downstream

Big Data in Oil & Gas Market, By Data Type:

  • Structured Unstructured
  • Semi-Structured

Big Data in Oil & Gas Market, By Region:

  • North America
  • United States
  • Canada
  • Mexico
  • Asia-Pacific
  • China
  • India
  • Japan
  • South Korea
  • Indonesia
  • Europe
  • Germany
  • United Kingdom
  • France
  • Russia
  • Spain
  • South America
  • Brazil
  • Argentina
  • Middle East & Africa
  • Saudi Arabia
  • South Africa
  • Egypt
  • UAE
  • Israel

Competitive Landscape

  • Company Profiles: Detailed analysis of the major companies present in the Global Big Data in Oil & Gas Market.

Available Customizations:

  • With the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

  • Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Service Overview

  • 1.1. Market Definition
  • 1.2. Scope of the Market
  • 1.3. Markets Covered
  • 1.4. Years Considered for Study
  • 1.5. Key Market Segmentations

2. Research Methodology

  • 2.1. Objective of the Study
  • 2.2. Baseline Methodology
  • 2.3. Key Industry Partners
  • 2.4. Major Association and Secondary Sources
  • 2.5. Forecasting Methodology
  • 2.6. Data Triangulation & Validation
  • 2.7. Assumptions and Limitations

3. Impact of COVID-19 on Global Big Data in Oil & Gas Market

4. Executive Summary

5. Voice of Customers

6. Global Big Data in Oil & Gas Market Outlook

  • 6.1. Market Size & Forecast
    • 6.1.1. By Value
  • 6.2. Market Share & Forecast
    • 6.2.1. By Components (Hardware, Software, Service)
    • 6.2.2. By Application (Upstream, Midstream, Downstream)
    • 6.2.3. By Data Type (Structure, Unstructured, Semi-Structured)
    • 6.2.4. By Region
  • 6.3. By Company (2022)
  • 6.4. Market Map

7. North America Big Data in Oil & Gas Market Outlook

  • 7.1. Market Size & Forecast
    • 7.1.1. By Value
  • 7.2. Market Share & Forecast
    • 7.2.1. By Component
    • 7.2.2. By Application
    • 7.2.3. By Data Type
    • 7.2.4. By Country
  • 7.3. North America: Country Analysis
    • 7.3.1. United States Big Data in Oil & Gas Market Outlook
      • 7.3.1.1. Market Size & Forecast
        • 7.3.1.1.1. By Value
      • 7.3.1.2. Market Share & Forecast
        • 7.3.1.2.1. By Component
        • 7.3.1.2.2. By Application
        • 7.3.1.2.3. By Data Type
    • 7.3.2. Canada Big Data in Oil & Gas Market Outlook
      • 7.3.2.1. Market Size & Forecast
        • 7.3.2.1.1. By Value
      • 7.3.2.2. Market Share & Forecast
        • 7.3.2.2.1. By Component
        • 7.3.2.2.2. By Application
        • 7.3.2.2.3. By Data Type
    • 7.3.3. Mexico Big Data in Oil & Gas Market Outlook
      • 7.3.3.1. Market Size & Forecast
        • 7.3.3.1.1. By Value
      • 7.3.3.2. Market Share & Forecast
        • 7.3.3.2.1. By Component
        • 7.3.3.2.2. By Application
        • 7.3.3.2.3. By Data Type

8. Asia-Pacific Big Data in Oil & Gas Market Outlook

  • 8.1. Market Size & Forecast
    • 8.1.1. By Value
  • 8.2. Market Share & Forecast
    • 8.2.1. By Component
    • 8.2.2. By Application
    • 8.2.3. By Data Type
    • 8.2.4. By Country
  • 8.3. Asia-Pacific: Country Analysis
    • 8.3.1. China Big Data in Oil & Gas Market Outlook
      • 8.3.1.1. Market Size & Forecast
        • 8.3.1.1.1. By Value
      • 8.3.1.2. Market Share & Forecast
        • 8.3.1.2.1. By Component
        • 8.3.1.2.2. By Application
        • 8.3.1.2.3. By Data Type
    • 8.3.2. India Big Data in Oil & Gas Market Outlook
      • 8.3.2.1. Market Size & Forecast
        • 8.3.2.1.1. By Value
      • 8.3.2.2. Market Share & Forecast
        • 8.3.2.2.1. By Component
        • 8.3.2.2.2. By Application
        • 8.3.2.2.3. By Data Type
    • 8.3.3. Japan Big Data in Oil & Gas Market Outlook
      • 8.3.3.1. Market Size & Forecast
        • 8.3.3.1.1. By Value
      • 8.3.3.2. Market Share & Forecast
        • 8.3.3.2.1. By Component
        • 8.3.3.2.2. By Application
        • 8.3.3.2.3. By Data Type
    • 8.3.4. South Korea Big Data in Oil & Gas Market Outlook
      • 8.3.4.1. Market Size & Forecast
        • 8.3.4.1.1. By Value
      • 8.3.4.2. Market Share & Forecast
        • 8.3.4.2.1. By Component
        • 8.3.4.2.2. By Application
        • 8.3.4.2.3. By Data Type
    • 8.3.5. Indonesia Big Data in Oil & Gas Market Outlook
      • 8.3.5.1. Market Size & Forecast
        • 8.3.5.1.1. By Value
      • 8.3.5.2. Market Share & Forecast
        • 8.3.5.2.1. By Component
        • 8.3.5.2.2. By Application
        • 8.3.5.2.3. By Data Type

9. Europe Big Data in Oil & Gas Market Outlook

  • 9.1. Market Size & Forecast
    • 9.1.1. By Value
  • 9.2. Market Share & Forecast
    • 9.2.1. By Component
    • 9.2.2. By Application
    • 9.2.3. By Data Type
    • 9.2.4. By Country
  • 9.3. Europe: Country Analysis
    • 9.3.1. Germany Big Data in Oil & Gas Market Outlook
      • 9.3.1.1. Market Size & Forecast
        • 9.3.1.1.1. By Value
      • 9.3.1.2. Market Share & Forecast
        • 9.3.1.2.1. By Component
        • 9.3.1.2.2. By Application
        • 9.3.1.2.3. By Data Type
    • 9.3.2. United Kingdom Big Data in Oil & Gas Market Outlook
      • 9.3.2.1. Market Size & Forecast
        • 9.3.2.1.1. By Value
      • 9.3.2.2. Market Share & Forecast
        • 9.3.2.2.1. By Component
        • 9.3.2.2.2. By Application
        • 9.3.2.2.3. By Data Type
    • 9.3.3. France Big Data in Oil & Gas Market Outlook
      • 9.3.3.1. Market Size & Forecast
        • 9.3.3.1.1. By Value
      • 9.3.3.2. Market Share & Forecast
        • 9.3.3.2.1. By Component
        • 9.3.3.2.2. By Application
        • 9.3.3.2.3. By Data Type
    • 9.3.4. Russia Big Data in Oil & Gas Market Outlook
      • 9.3.4.1. Market Size & Forecast
        • 9.3.4.1.1. By Value
      • 9.3.4.2. Market Share & Forecast
        • 9.3.4.2.1. By Component
        • 9.3.4.2.2. By Application
        • 9.3.4.2.3. By Data Type
    • 9.3.5. Spain Big Data in Oil & Gas Market Outlook
      • 9.3.5.1. Market Size & Forecast
        • 9.3.5.1.1. By Value
      • 9.3.5.2. Market Share & Forecast
        • 9.3.5.2.1. By Component
        • 9.3.5.2.2. By Application
        • 9.3.5.2.3. By Data Type

10. South America Big Data in Oil & Gas Market Outlook

  • 10.1. Market Size & Forecast
    • 10.1.1. By Value
  • 10.2. Market Share & Forecast
    • 10.2.1. By Component
    • 10.2.2. By Application
    • 10.2.3. By Data Type
    • 10.2.4. By Country
  • 10.3. South America: Country Analysis
    • 10.3.1. Brazil Big Data in Oil & Gas Market Outlook
      • 10.3.1.1. Market Size & Forecast
        • 10.3.1.1.1. By Value
      • 10.3.1.2. Market Share & Forecast
        • 10.3.1.2.1. By Component
        • 10.3.1.2.2. By Application
        • 10.3.1.2.3. By Data Type
    • 10.3.2. Argentina Big Data in Oil & Gas Market Outlook
      • 10.3.2.1. Market Size & Forecast
        • 10.3.2.1.1. By Value
      • 10.3.2.2. Market Share & Forecast
        • 10.3.2.2.1. By Component
        • 10.3.2.2.2. By Application
        • 10.3.2.2.3. By Data Type

11. Middle East & Africa Big Data in Oil & Gas Market Outlook

  • 11.1. Market Size & Forecast
    • 11.1.1. By Value
  • 11.2. Market Share & Forecast
    • 11.2.1. By Component
    • 11.2.2. By Application
    • 11.2.3. By Data Type
    • 11.2.4. By Country
  • 11.3. Middle East & Africa: Country Analysis
    • 11.3.1. Saudi Arabia Big Data in Oil & Gas Market Outlook
      • 11.3.1.1. Market Size & Forecast
        • 11.3.1.1.1. By Value
      • 11.3.1.2. Market Share & Forecast
        • 11.3.1.2.1. By Component
        • 11.3.1.2.2. By Application
        • 11.3.1.2.3. By Data Type
    • 11.3.2. South Africa Big Data in Oil & Gas Market Outlook
      • 11.3.2.1. Market Size & Forecast
        • 11.3.2.1.1. By Value
      • 11.3.2.2. Market Share & Forecast
        • 11.3.2.2.1. By Component
        • 11.3.2.2.2. By Application
        • 11.3.2.2.3. By Data Type
    • 11.3.3. UAE Big Data in Oil & Gas Market Outlook
      • 11.3.3.1. Market Size & Forecast
        • 11.3.3.1.1. By Value
      • 11.3.3.2. Market Share & Forecast
        • 11.3.3.2.1. By Component
        • 11.3.3.2.2. By Application
        • 11.3.3.2.3. By Data Type
    • 11.3.4. Israel Big Data in Oil & Gas Market Outlook
      • 11.3.4.1. Market Size & Forecast
        • 11.3.4.1.1. By Value
      • 11.3.4.2. Market Share & Forecast
        • 11.3.4.2.1. By Component
        • 11.3.4.2.2. By Application
        • 11.3.4.2.3. By Data Type
    • 11.3.5. Egypt Big Data in Oil & Gas Market Outlook
      • 11.3.5.1. Market Size & Forecast
        • 11.3.5.1.1. By Value
      • 11.3.5.2. Market Share & Forecast
        • 11.3.5.2.1. By Component
        • 11.3.5.2.2. By Application
        • 11.3.5.2.3. By Data Type

12. Market Dynamics

  • 12.1. Drivers
  • 12.2. Challenges

13. Market Trends & Developments

14. Company Profiles

  • 14.1. Accenture PLC
    • 14.1.1. Business Overview
    • 14.1.2. Key Revenue and Financials (If Available)
    • 14.1.3. Recent Developments
    • 14.1.4. Key Personnel
    • 14.1.5. Key Product/Services
  • 14.2. Cisco Systems, Inc
    • 14.2.1. Business Overview
    • 14.2.2. Key Revenue and Financials
    • 14.2.3. Recent Developments
    • 14.2.4. Key Personnel
    • 14.2.5. Key Product/Services
  • 14.3. Dell EMC
    • 14.3.1. Business Overview
    • 14.3.2. Key Revenue and Financials (If Available)
    • 14.3.3. Recent Developments
    • 14.3.4. Key Personnel
    • 14.3.5. Key Product/Services
  • 14.4. Hewlett-Packard Enterprise
    • 14.4.1. Business Overview
    • 14.4.2. Key Revenue and Financials (If Available)
    • 14.4.3. Recent Developments
    • 14.4.4. Key Personnel
    • 14.4.5. Key Product/Services
  • 14.5. IBM
    • 14.5.1. Business Overview
    • 14.5.2. Key Revenue and Financials (If Available)
    • 14.5.3. Recent Developments
    • 14.5.4. Key Personnel
    • 14.5.5. Key Product/Services
  • 14.6. Microsoft
    • 14.6.1. Business Overview
    • 14.6.2. Key Revenue and Financials (If Available)
    • 14.6.3. Recent Developments
    • 14.6.4. Key Personnel
    • 14.6.5. Key Product/Services
  • 14.7. Oracle Corporation
    • 14.7.1. Business Overview
    • 14.7.2. Key Revenue and Financials
    • 14.7.3. Recent Developments
    • 14.7.4. Key Personnel
    • 14.7.5. Key Product/Services
  • 14.8. SAP Group
    • 14.8.1. Business Overview
    • 14.8.2. Key Revenue and Financials (If Available)
    • 14.8.3. Recent Developments
    • 14.8.4. Key Personnel
    • 14.8.5. Key Product/Services
  • 14.9. SAS Institute Inc.
    • 14.9.1. Business Overview
    • 14.9.2. Key Revenue and Financials (If Available)
    • 14.9.3. Recent Developments
    • 14.9.4. Key Personnel
    • 14.9.5. Key Product/Services
  • 14.10. Teradata
    • 14.10.1. Business Overview
    • 14.10.2. Key Revenue and Financials (If Available)
    • 14.10.3. Recent Developments
    • 14.10.4. Key Personnel
    • 14.10.5. Key Product/Services
  • 14.11. Hitachi Vantara
    • 14.11.1. Business Overview
    • 14.11.2. Key Revenue and Financials (If Available)
    • 14.11.3. Recent Developments
    • 14.11.4. Key Personnel
    • 14.11.5. Key Product/Services

15. Strategic Recommendations

16. About Us & Disclaimer