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市場調查報告書

全球數位油田資料管理市場上新興企業、市場變化

Emerging Upstarts and Market Transitions in the Global Digital Oilfield Data Management Market

出版商 Frost & Sullivan 商品編碼 324205
出版日期 內容資訊 英文 79 Pages
商品交期: 最快1-2個工作天內
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全球數位油田資料管理市場上新興企業、市場變化 Emerging Upstarts and Market Transitions in the Global Digital Oilfield Data Management Market
出版日期: 2015年02月04日 內容資訊: 英文 79 Pages
簡介

本報告提供Frost & Sullivan的Competitive Advantage and Market 用Positioning (CAMP)工具、上游石油、天然氣(O&G)產業的巨量資料、分析市場上解決方案供應商整體性比較分析提供、各市場區隔分析、今後展望、及主要企業簡介、為您概述為以下內容。

第1章 摘要整理

第2章 調查範圍、目的、背景、手法

第3章 定義、區分

第4章 從市場概要:現場向企業,推進營運的優點的資料的收益化

  • 資訊領域的新時代
  • 促進引進的市場順風
  • 刺激成長的技術進步
  • 成功的實行的成本效益
  • 終端用戶的轉變
  • 上游石油、天然氣產業上資料游泳池
  • 巨量資料、分析平台的經營目標
  • 合巨量資料、分析的主要用途

第5章 摘要章節(型材):Competitive Advantage and Market Positioning(CAMP)分析

  • CAMP:簡介
  • CAMP:圖形表示
  • CAMP:扇形說明
  • CAMP規模、目錄、圖表:上游石油、天然氣產業上巨量資料、分析
  • 企業簡介1:Ayasdi
  • 企業簡介2:Ayata
  • 企業簡介3:Datawatch
  • 企業簡介4:Flutura
  • 企業簡介5:Karmasphere, Inc.
  • 企業簡介6:Mtell
  • 企業簡介7:Neudesic LLC
  • 企業簡介8:Pivotal Software, Inc.
  • 企業簡介9:Predikto
  • 企業簡介10:RapidMiner
  • 企業簡介11:Skytree, Inc.
  • 企業簡介12:TempoIQ

第6章 資料儲存市場區隔分析

  • 資料儲存市場區隔的發展動態
  • 啟用的雲端
  • 結論

第7章 資料整合市場區隔分析

  • 資料整合市場區隔的發展動態
  • 資料整合圖:上游O&G產業上大量的,多資料來源
  • 結論

第8章 資料分析市場區隔分析

  • 資料分析市場區隔的發展動態
  • 附加價值服務:現場營運生產率的最大化
  • 結論

第9章 資料簡報、虛擬化市場區隔分析

  • 資料簡報、虛擬化市場區隔的發展動態
  • 企業人事部的主要資料虛擬化標準
  • 結論

第10章 結論、未來展望:整體市場

  • 結論
  • 彙整:3大預測
  • 免責聲明

第11章 附錄

目錄
Product Code: NF08-01-00-00-00

Strategic Assessment of Top 12 Companies to Watch

The upstream oil and gas industry is moving toward an integrated ecosystem where end users will drive operational excellence from field to enterprise. While smart instruments and intelligent sensors have set the stage for more connected assets on-site, the ability to leverage raw data and derive actionable insights for improved productivity of operations has become imperative. This strategic insight provides a comprehensive competitive analysis of solution providers in the Big Data and Analytics market for the upstream O&G industry using Frost & Sullivan's Competitive Advantage and Market Positioning (CAMP) tool. As niche solution providers penetrate this space, strategic alliances and partnerships will ensure long-term sustainable growth.

Key Questions This Study Will Answer

  • How does end-user adoption of digital oilfields impact the current state of the Big Data and Analytics market? What are some of the key Big Data and Analytics applications used in a digital oilfield?
  • How is the competitive ecosystem evolving? Are vendors in this space ready to go it alone, or do they need partnerships to take their business to the next level? Is it ripe for acquisitions?
  • How is the Big Data and Analytics market segmented in the oil and gas industry? Which segment is expected to see the highest growth? Why?
  • Who are some the niche solution providers that are making inroads into the Big Data and Analytics market for upstream oil and gas operations? What are some of the key applications they cater to?

Table of Contents

1. EXECUTIVE SUMMARY

  • 1. Key Findings
  • 2. Key Findings and Future Outlook

2. RESEARCH SCOPE, OBJECTIVES, BACKGROUND, AND METHODOLOGY

  • 1. Research Scope
  • 2. Research Aims and Objectives
  • 3. Key Questions This Study Will Answer
  • 4. Research Background
  • 5. Research Methodology
  • 6. Key Vendors Compared in This Study

3. DEFINITIONS AND SEGMENTATION

  • 1. Market Segmentation
  • 2. Product Segmentation and Ecosystem

4. MARKET OVERVIEW-MONETIZING DATA TO DRIVE OPERATIONAL EXCELLENCE FROM FIELD TO ENTERPRISE

  • 1. A New Era of Intelligent Fields
  • 2. Market Tailwinds Driving Adoption
  • 3. Technology Advancements Fuelling Growth
  • 4. Cost Benefits of Successful Implementation
  • 5. End User Transition
  • 6. Data Pools in the Upstream Oil and Gas Industry
  • 7. Business Objectives for a Big Data and Analytics Platform
  • 8. Key Applications for Big Data and Analytics

5. SUMMARY SECTION-COMPETITIVE ADVANTAGE AND MARKET POSITIONING (CAMP) ANALYSIS

  • 1. CAMP-An Introduction
  • 2. CAMP-An Introduction (continued)
  • 3. CAMP-Graphical Representation
  • 4. CAMP-Quadrants Explained
  • 5. CAMP Scale for Big Data & Analytics in the Upstream O&G Industry
  • 6. CAMP Index for Big Data & Analytics in the Upstream O&G Industry (continued)
  • 7. CAMP Chart for Big Data & Analytics in the Upstream O&G Industry (continued)
  • 8. Company Profile 1: Ayasdi, Inc.-Snapshot
  • 9. Company Profile 1: Ayasdi, Inc.-Solution Approach
  • 10. Company Profile 2: Ayata-Snapshot
  • 11. Company Profile 2: Ayata-Solution Approach
  • 12. Company Profile 3: Datawatch-Snapshot
  • 13. Company Profile 3: Datawatch-Solution Approach
  • 14. Company Profile 4: Flutura-Snapshot
  • 15. Company Profile 4: Flutura-Solution Approach
  • 16. Company Profile 5: Karmasphere, Inc.-Snapshot
  • 17. Company Profile 5: Karmasphere, Inc.-Solution Approach
  • 18. Company Profile 6: Mtell-Snapshot
  • 19. Company Profile 6: Mtell-Solution Approach
  • 20. Company Profile 7: Neudesic LLC-Snapshot
  • 21. Company Profile 7: Neudesic LLC-Solution Approach
  • 22. Company Profile 8: Pivotal Software, Inc.-Snapshot
  • 23. Company Profile 8: Pivotal Software, Inc.-Solution Approach
  • 24. Company Profile 9: Predikto-Snapshot
  • 25. Company Profile 9: Predikto-Solution Approach
  • 26. Company Profile 10: RapidMiner-Snapshot
  • 27. Company Profile 10: RapidMiner-Solution Approach
  • 28. Company Profile 11: Skytree, Inc.-Snapshot
  • 29. Company Profile 11: Skytree, Inc.-Solution Approach
  • 30. Company Profile 12: TempoIQ-Snapshot
  • 31. Company Profile 12: TempoIQ-Solution Approach

6. DATA STORAGE SEGMENT ANALYSIS

  • 1. Evolving Dynamics in the Data Storage Segment
  • 2. Cloud as an Enabler
  • 3. Conclusions

7. DATA INTEGRATION SEGMENT ANALYSIS

  • 1. Evolving Dynamics in the Data Integration Segment
  • 2. Data Integration Schematic-High Volume, Multiple Data Sources in the Upstream O&G Industry
  • 3. Conclusions

8. DATA ANALYTICS SEGMENT ANALYSIS

  • 1. Evolving Dynamics in the Data Analytics Segment
  • 2. Value-added Services-Maximizing Productivity of Field Operations
  • 3. Conclusions

9. DATA PRESENTATION AND VISUALIZATION SEGMENT ANALYSIS

  • 1. Evolving Dynamics in the Data Visualization Segment
  • 2. Key Data Visualization Metrics for Enterprise Personnel
  • 3. Conclusions

10. CONCLUSIONS AND FUTURE OUTLOOK-TOTAL MARKET

  • 1. Conclusions
  • 2. The Last Word-3 Big Predictions
  • 3. Legal Disclaimer

11. APPENDIX

  • 1. Abbreviations and Acronyms Used
  • 2. Methodology
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