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市場調查報告書

石油&天然氣領域的巨量資料的全球市場 (2016∼2020年)

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

出版商 TechNavio (Infiniti Research Ltd.) 商品編碼 274790
出版日期 內容資訊 英文 63 Pages
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石油&天然氣領域的巨量資料的全球市場 (2016∼2020年) Global Big Data Market in the Oil and Gas Sector 2016-2020
出版日期: 2016年01月13日 內容資訊: 英文 63 Pages
簡介

巨量資料解決方案,是為了處理、分析以傳統資料處理工具管理太過龐大的企業資料所必要的各種種類的解決方案。在石油&天然氣領域產生各種結構化、非結構化資料。在石油&天然氣領域使用的巨量資料解決方案,提供組織規模資訊的敏捷的綜合見解。巨量資料解決方案還有助於改善經營實際成果和收益的最大化。

本報告提供石油&天然氣領域的巨量資料的全球市場的目前方案和成長的展望,以專家意見為基礎的市場分析、主要供應商分析。

第1章 摘要整理

第2章 調查的對象

  • 市場概要
  • 提供產品

第3章 市場調查手法

  • 調查手法
  • 經濟指標

第4章 簡介

  • 主要市場焦點

第5章 巨量資料概要

  • 巨量資料定義
  • 石油&天然氣領域的巨量資料
  • 產業動態

第6章 市場展望

  • 市場概要
  • 市場規模與預測
  • 全領域的巨量資料中的市場區隔之一的石油&天然氣領域的巨量資料
  • 波特的五力分析

第7章 各產品市場分類

  • 服務
  • 軟體

第8章 地區分類

第9章 市場促進要素

第10章 促進要素與其影響

第11章 市場課題

  • 認知度不足
  • 有才能的專家不足
  • 產業的障礙
  • 資料的安全性和隱私的問題

第12章 促進要素的影響與課題

第13章 市場趨勢

  • 採用對用戶友善的預測建模
  • 對高度的分析的需求高漲
  • 雲端運算技術的登場

第14章 供應商的展望

  • 競爭方案
  • 巨量資料市場上有前途的純玩家
  • 其他重要供應商

第14章 主要供應商分析

  • HP
  • IBM
  • Oracle
  • Teradata

第16章 附屬資料

第17章 關於Technavio

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目錄
Product Code: IRTNTR8173

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.

Technavio's 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

Technavio's 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 analyst's time when you purchase this market report. Details are provided within the report.

Table of Contents

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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