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市場調查報告書
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1914631

石油和天然氣分析市場 - 全球產業規模、佔有率、趨勢、機會和預測（按服務、部署類型、應用、地區和競爭格局分類），2021-2031年

Oil and Gas Analytics Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Service, By Deployment Mode, By Application (Upstream, Midstream, Downstream ), By Region & Competition, 2021-2031F
出版日期: | 出版商: TechSci Research | 英文 185 Pages | 商品交期: 2-3個工作天內

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簡介目錄

全球油氣分析市場預計將從2025年的106.4億美元成長到2031年的330.3億美元，複合年成長率（CAGR）為20.78%。該市場涵蓋先進的軟體和服務解決方案，旨在處理探勘、生產和煉油活動中的複雜資料集，並最佳化決策流程。推動這一成長的關鍵因素包括營運效率的重要性以及預測性維護的普及，後者能夠顯著減少資產停機時間和資本支出。這些營運需求促使企業採用能夠改善資源分配和安全標準的分析工具，而這種需求在一般的技術變革中尤其突出。

市場概覽
預測期 2027-2031
市場規模：2025年 106.4億美元
市場規模：2031年 330.3億美元
複合年成長率：2026-2031年 20.78%
成長最快的細分市場 上游工程
最大的市場 北美洲

然而，資料孤島仍然是市場成長的一大障礙，因為將現代分析技術與分散的舊有系統整合仍然是一項複雜且耗費資源的任務。這種技術壁壘常常阻礙數據順利聚合，進而影響到獲得準確洞察。 DNV報告稱，到2025年，74%的能源專業人士將更加重視數位化，以應對這種複雜性並提升業務績效。這一數字凸顯了能源產業在克服技術鴻溝方面堅定不移的資金投入，儘管現代化現有基礎設施本身就面臨著許多挑戰。

市場促進因素

物聯網 (IoT) 和巨量資料的快速普及正在推動實體資產與先進數位生態系統之間的無縫融合，從根本上改變市場格局。營運商正利用雲端原生平台和邊緣運算來處理大量的地震和營運數據，從而提升儲存表徵和鑽井精度。這種技術融合使得以往孤立的數據流得以貨幣化，並顯著推動了數位服務領域的收入成長。例如，SLB 於 2025 年 1 月公佈，其 2024 會計年度的數位收入年增 20%，達到 24.4 億美元，凸顯了市場對涵蓋整個能源生命週期的整合數據解決方案的強勁需求。

同時，對營運效率和成本降低的日益重視正推動產業利用分析技術來最大化價值並延長資產壽命。隨著現成蘊藏量的減少，企業正優先考慮預測性維護和人工智慧驅動的自動化，以減少計劃外停機時間並最佳化生產力，同時嚴格遵守資本紀律。這種轉變正在將維護從被動支出轉變為策略價值創造。根據彭博社2025年6月的報告，沙烏地阿美宣布，由於在所有營運環節實施人工智慧，其數位轉型措施在2024年創造了40億美元的以金額為準，比上年度加倍。這一趨勢在整個行業中顯而易見：貝克休斯公司報告稱，截至2025年1月，其工業和能源技術部門已訂單2024年全年130億美元的訂單，凸顯了市場對提升工業績效技術的投資。

市場挑戰

全球油氣分析市場面臨許多重大障礙：根深蒂固的資料孤島以及將現代分析軟體與老舊、分散的舊有系統整合的難題。這項技術挑戰直接阻礙了市場擴張，因為它妨礙了準確、即時決策所需的數據的順利聚合。當探勘和生產數據仍然被鎖定在孤立的基礎設施中時，企業在準備分析資料集方面會付出過高的成本和時間，這往往會降低新軟體實施的預期投資收益(ROI)。因此，許多組織不願在初始試點階段之後擴展其分析解決方案，抑制了其在市場上的廣泛應用。

這種碎片化造成了嚴重的能力差距，限制了能源產業充分利用先進預測工具的能力。根據DNV預測，到2024年，僅有21%領導企業%。這種差距表明，相當一部分市場缺乏進行複雜分析所需的基本數據成熟度。只要這些整合挑戰持續存在，就會繼續限制分析供應商的潛在市場規模，進而限制整個產業的獲利能力。

市場趨勢

ESG分析在碳足跡和排放監測領域的興起，正從根本上改變能源公司應對環境合規和永續性目標的方式。在日益成長的監管壓力下，營運商不再滿足於簡單的報告，而是部署複雜的分析平台，整合衛星影像、無人機數據和地面感測器，以實現精準的甲烷檢測。這些工具使公司能夠即時量化排放，並優先制定減排策略，將環境數據從被動的合規義務轉變為關鍵的營運指標。根據石油天然氣氣候舉措（OGCI）於2024年11月發布的《2024年進展報告》，成員公司已利用這些先進的監測框架，成功地將上游甲烷排放強度較2017年降低了62%。

將生成式人工智慧應用於合成資料生成和情境建模，正成為地下表徵和儲存工程領域的一股變革力量。與依賴計算密集型物理模擬的傳統方法相比，這些人工智慧驅動的系統能夠以前所未有的速度生成合成資料集並模擬複雜的地質情景，從而顯著加快探勘和碳儲存評估的速度。這種能力使地球科學家能夠快速評估數千種潛在結果，最佳化油田開發方案，同時降低資本風險。殼牌公司在2024年12月發布的數位化創新策略報告中指出，該公司部署了一種人工智慧模型，其模擬地下儲存二氧化碳儲存的速度比標準實體模擬快約10萬倍。

目錄

第1章概述

第2章調查方法

第3章執行摘要

第4章：客戶評價

第5章 全球油氣分析市場展望

  • 市場規模及預測
    • 按金額
  • 市佔率及預測
    • 依服務類型（專業服務、雲端服務、整合服務）
    • 依部署類型（本機部署、雲端部署）
    • 依應用領域分類（上游（探勘與鑽井、現場監控與監控、生產計畫與預測、設施維護管理、資產績效、勞動力管理）、中游（管道SCADA、船隊、儲存最佳化）、下游（商品交易、需求預測、定價、煉油））
    • 按地區
    • 按公司（2025 年）
  • 市場地圖

6. 北美油氣分析市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 北美洲：國家分析
    • 美國
    • 加拿大
    • 墨西哥

7. 歐洲油氣分析市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 歐洲：國家分析
    • 德國
    • 法國
    • 英國
    • 義大利
    • 西班牙

8. 亞太地區油氣分析市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 亞太地區：國家分析
    • 中國
    • 印度
    • 日本
    • 韓國
    • 澳洲

9. 中東和非洲油氣分析市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 中東和非洲：國家分析
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 南非

10. 南美油氣分析市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 南美洲：國家分析
    • 巴西
    • 哥倫比亞
    • 阿根廷

第11章 市場動態

  • 促進要素
  • 任務

第12章 市場趨勢與發展

  • 併購
  • 產品發布
  • 最新進展

第13章 全球油氣分析市場：SWOT分析

第14章 波特五力分析

  • 產業競爭
  • 新進入者的可能性
  • 供應商電力
  • 顧客權力
  • 替代品的威脅

第15章 競爭格局

  • SAP SE
  • Microsoft Corporation
  • Hitachi America, Ltd.
  • Oracle Corporation
  • Cognizant Technology Solutions US
  • Capgemini SE
  • Accenture plc
  • Cisco System, Inc.
  • Tibco software
  • International Business Machines Corporation

第16章 策略建議

第17章：關於研究公司及免責聲明

簡介目錄
Product Code: 15264

The Global Oil and Gas Analytics Market is projected to expand from USD 10.64 Billion in 2025 to USD 33.03 Billion by 2031, registering a CAGR of 20.78%. This market encompasses advanced software and service solutions engineered to process intricate datasets spanning exploration, production, and refining activities to refine decision-making processes. Key drivers underpinning this growth include the critical need for operational efficiency and the adoption of predictive maintenance, which substantially lowers asset downtime and capital outlays. These operational requirements drive companies to implement analytical tools that improve resource allocation and safety standards, distinguishing these needs from general technological shifts.

Market Overview
Forecast Period2027-2031
Market Size 2025USD 10.64 Billion
Market Size 2031USD 33.03 Billion
CAGR 2026-203120.78%
Fastest Growing SegmentUpstream
Largest MarketNorth America

Nevertheless, market growth encounters a significant obstacle involving data silos, as integrating contemporary analytics with fragmented legacy systems remains complicated and resource-heavy. This technical hurdle frequently hinders the smooth aggregation of data necessary for accurate insights. As reported by DNV, in 2025, 74% of energy professionals indicated a heightened focus on digitalization to manage these complexities and enhance business performance. This figure highlights the industry's determined financial dedication to overcoming technical disparities, despite the inherent challenges involved in modernizing established infrastructure.

Market Driver

The rapid incorporation of the Internet of Things and big data is radically transforming the market by facilitating the smooth merging of physical assets with sophisticated digital ecosystems. Operators are increasingly utilizing cloud-native platforms and edge computing to handle immense seismic and operational datasets, thereby improving reservoir characterization and drilling accuracy. This technological alignment enables companies to monetize previously siloed data streams, fueling substantial revenue growth within digital service sectors. For example, SLB reported in January 2025 that its full-year 2024 digital revenue rose by 20% year-over-year to $2.44 billion, emphasizing the strong demand for integrated data solutions covering the entire energy lifecycle.

Concurrently, the growing focus on operational efficiency and cost reduction drives the industry to utilize analytics for maximizing value and extending asset life. As easily accessible reserves become scarcer, companies are prioritizing predictive maintenance and AI-driven automation to reduce unplanned downtime and optimize production rates while adhering to strict capital discipline. This transition converts maintenance from a reactive expense into a strategic value driver. As noted by Bloomberg, in June 2025, Saudi Aramco announced that its digital transformation efforts yielded $4 billion in value in 2024, a figure that doubled from the prior year due to AI implementation across operations. This trend is evident throughout the sector; according to Baker Hughes, orders for its Industrial and Energy Technology segment reached $13.0 billion for the full year 2024 in January 2025, highlighting market investment in technologies that boost industrial performance.

Market Challenge

The "Global Oil and Gas Analytics Market" encounters a significant obstacle regarding deeply rooted data silos and the difficulty of merging modern analytical software with aging, fragmented legacy systems. This technical hurdle directly impedes market expansion by preventing the smooth aggregation of data needed for accurate, real-time decision-making. When exploration and production data remain locked within isolated infrastructure, companies face excessive costs and delays in readying datasets for analysis, often undermining the anticipated return on investment for new software deployments. As a result, many organizations are reluctant to expand analytics solutions beyond the initial pilot phases, thereby stalling wider market adoption.

This fragmentation generates a severe capability gap that limits the industry's capacity to fully utilize advanced predictive tools. According to DNV, in 2024, only 21% of energy companies identified as "digital laggards" reported possessing quality data for their operations, in contrast to 68% of industry leaders. This discrepancy suggests that a substantial segment of the market lacks the fundamental data maturity required for complex analytics. As long as these integration difficulties endure, they will continue to restrict the addressable market for analytics vendors and constrain the sector's overall revenue potential.

Market Trends

The emergence of ESG Analytics for Carbon Footprint and Emissions Monitoring is radically changing how energy companies approach environmental compliance and sustainability objectives. With increasing regulatory pressure, operators are advancing beyond simple reporting to implement complex analytics platforms that integrate satellite imagery, drone data, and ground sensors for accurate methane detection. These tools enable firms to quantify emissions in real-time and prioritize reduction strategies, transforming environmental data into a crucial operational metric rather than merely a passive compliance obligation. According to the Oil and Gas Climate Initiative (OGCI) 'Progress Report 2024' released in November 2024, member companies used these advanced monitoring frameworks to realize a 62% reduction in aggregate upstream operated methane intensity relative to 2017 levels.

The incorporation of Generative AI for Synthetic Data Generation and Scenario Modeling is developing as a revolutionary force for subsurface characterization and reservoir engineering. In contrast to traditional methods that depend on computationally intensive physics-based simulations, these AI-driven systems produce synthetic datasets and model intricate geological scenarios with unmatched speed, drastically quickening exploration and carbon storage assessments. This ability allows geoscientists to rapidly assess thousands of potential outcomes, optimizing field development plans while lowering capital risk. As reported by Shell in December 2024 regarding its digital innovation strategy, the company implemented AI models capable of simulating carbon dioxide storage in subsurface reservoirs roughly 100,000 times faster than standard physics-based simulations.

Key Market Players

  • SAP SE
  • Microsoft Corporation
  • Hitachi America, Ltd.
  • Oracle Corporation
  • Cognizant Technology Solutions U.S.
  • Capgemini SE
  • Accenture plc
  • Cisco System, Inc.
  • Tibco software
  • International Business Machines Corporation

Report Scope

In this report, the Global Oil and Gas Analytics Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Oil and Gas Analytics Market, By Service

  • Professional
  • Cloud
  • Integration

Oil and Gas Analytics Market, By Deployment Mode

  • On-premises
  • Cloud

Oil and Gas Analytics Market, By Application

  • Upstream
    • Exploration and Drilling
    • Field Surveillance and Monitoring
    • Production Planning and Forecasting
    • Equipment Maintenance Management
    • Asset Performance
    • Workforce Management
  • Midstream
    • Pipeline SCADA
    • Fleet
    • Storage Optimization
  • Downstream
    • Commodity Trading
    • DemForecasting
    • Pricing
    • Refining

Oil and Gas Analytics Market, By Region

  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • France
    • United Kingdom
    • Italy
    • Germany
    • Spain
  • Asia Pacific
    • China
    • India
    • Japan
    • Australia
    • South Korea
  • South America
    • Brazil
    • Argentina
    • Colombia
  • Middle East & Africa
    • South Africa
    • Saudi Arabia
    • UAE

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global Oil and Gas Analytics Market.

Available Customizations:

Global Oil and Gas Analytics Market report 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. Product Overview

  • 1.1. Market Definition
  • 1.2. Scope of the Market
    • 1.2.1. Markets Covered
    • 1.2.2. Years Considered for Study
    • 1.2.3. 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. Executive Summary

  • 3.1. Overview of the Market
  • 3.2. Overview of Key Market Segmentations
  • 3.3. Overview of Key Market Players
  • 3.4. Overview of Key Regions/Countries
  • 3.5. Overview of Market Drivers, Challenges, Trends

4. Voice of Customer

5. Global Oil and Gas Analytics Market Outlook

  • 5.1. Market Size & Forecast
    • 5.1.1. By Value
  • 5.2. Market Share & Forecast
    • 5.2.1. By Service (Professional, Cloud, Integration)
    • 5.2.2. By Deployment Mode (On-premises, Cloud)
    • 5.2.3. By Application (Upstream (Exploration and Drilling, Field Surveillance and Monitoring, Production Planning and Forecasting, Equipment Maintenance Management, Asset Performance, Workforce Management), Midstream (Pipeline SCADA, Fleet, Storage Optimization), Downstream (Commodity Trading, DemForecasting, Pricing, Refining))
    • 5.2.4. By Region
    • 5.2.5. By Company (2025)
  • 5.3. Market Map

6. North America Oil and Gas Analytics Market Outlook

  • 6.1. Market Size & Forecast
    • 6.1.1. By Value
  • 6.2. Market Share & Forecast
    • 6.2.1. By Service
    • 6.2.2. By Deployment Mode
    • 6.2.3. By Application
    • 6.2.4. By Country
  • 6.3. North America: Country Analysis
    • 6.3.1. United States Oil and Gas Analytics Market Outlook
      • 6.3.1.1. Market Size & Forecast
        • 6.3.1.1.1. By Value
      • 6.3.1.2. Market Share & Forecast
        • 6.3.1.2.1. By Service
        • 6.3.1.2.2. By Deployment Mode
        • 6.3.1.2.3. By Application
    • 6.3.2. Canada Oil and Gas Analytics Market Outlook
      • 6.3.2.1. Market Size & Forecast
        • 6.3.2.1.1. By Value
      • 6.3.2.2. Market Share & Forecast
        • 6.3.2.2.1. By Service
        • 6.3.2.2.2. By Deployment Mode
        • 6.3.2.2.3. By Application
    • 6.3.3. Mexico Oil and Gas Analytics Market Outlook
      • 6.3.3.1. Market Size & Forecast
        • 6.3.3.1.1. By Value
      • 6.3.3.2. Market Share & Forecast
        • 6.3.3.2.1. By Service
        • 6.3.3.2.2. By Deployment Mode
        • 6.3.3.2.3. By Application

7. Europe Oil and Gas Analytics Market Outlook

  • 7.1. Market Size & Forecast
    • 7.1.1. By Value
  • 7.2. Market Share & Forecast
    • 7.2.1. By Service
    • 7.2.2. By Deployment Mode
    • 7.2.3. By Application
    • 7.2.4. By Country
  • 7.3. Europe: Country Analysis
    • 7.3.1. Germany Oil and Gas Analytics 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 Service
        • 7.3.1.2.2. By Deployment Mode
        • 7.3.1.2.3. By Application
    • 7.3.2. France Oil and Gas Analytics 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 Service
        • 7.3.2.2.2. By Deployment Mode
        • 7.3.2.2.3. By Application
    • 7.3.3. United Kingdom Oil and Gas Analytics 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 Service
        • 7.3.3.2.2. By Deployment Mode
        • 7.3.3.2.3. By Application
    • 7.3.4. Italy Oil and Gas Analytics Market Outlook
      • 7.3.4.1. Market Size & Forecast
        • 7.3.4.1.1. By Value
      • 7.3.4.2. Market Share & Forecast
        • 7.3.4.2.1. By Service
        • 7.3.4.2.2. By Deployment Mode
        • 7.3.4.2.3. By Application
    • 7.3.5. Spain Oil and Gas Analytics Market Outlook
      • 7.3.5.1. Market Size & Forecast
        • 7.3.5.1.1. By Value
      • 7.3.5.2. Market Share & Forecast
        • 7.3.5.2.1. By Service
        • 7.3.5.2.2. By Deployment Mode
        • 7.3.5.2.3. By Application

8. Asia Pacific Oil and Gas Analytics Market Outlook

  • 8.1. Market Size & Forecast
    • 8.1.1. By Value
  • 8.2. Market Share & Forecast
    • 8.2.1. By Service
    • 8.2.2. By Deployment Mode
    • 8.2.3. By Application
    • 8.2.4. By Country
  • 8.3. Asia Pacific: Country Analysis
    • 8.3.1. China Oil and Gas Analytics 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 Service
        • 8.3.1.2.2. By Deployment Mode
        • 8.3.1.2.3. By Application
    • 8.3.2. India Oil and Gas Analytics 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 Service
        • 8.3.2.2.2. By Deployment Mode
        • 8.3.2.2.3. By Application
    • 8.3.3. Japan Oil and Gas Analytics 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 Service
        • 8.3.3.2.2. By Deployment Mode
        • 8.3.3.2.3. By Application
    • 8.3.4. South Korea Oil and Gas Analytics 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 Service
        • 8.3.4.2.2. By Deployment Mode
        • 8.3.4.2.3. By Application
    • 8.3.5. Australia Oil and Gas Analytics 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 Service
        • 8.3.5.2.2. By Deployment Mode
        • 8.3.5.2.3. By Application

9. Middle East & Africa Oil and Gas Analytics Market Outlook

  • 9.1. Market Size & Forecast
    • 9.1.1. By Value
  • 9.2. Market Share & Forecast
    • 9.2.1. By Service
    • 9.2.2. By Deployment Mode
    • 9.2.3. By Application
    • 9.2.4. By Country
  • 9.3. Middle East & Africa: Country Analysis
    • 9.3.1. Saudi Arabia Oil and Gas Analytics 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 Service
        • 9.3.1.2.2. By Deployment Mode
        • 9.3.1.2.3. By Application
    • 9.3.2. UAE Oil and Gas Analytics 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 Service
        • 9.3.2.2.2. By Deployment Mode
        • 9.3.2.2.3. By Application
    • 9.3.3. South Africa Oil and Gas Analytics 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 Service
        • 9.3.3.2.2. By Deployment Mode
        • 9.3.3.2.3. By Application

10. South America Oil and Gas Analytics Market Outlook

  • 10.1. Market Size & Forecast
    • 10.1.1. By Value
  • 10.2. Market Share & Forecast
    • 10.2.1. By Service
    • 10.2.2. By Deployment Mode
    • 10.2.3. By Application
    • 10.2.4. By Country
  • 10.3. South America: Country Analysis
    • 10.3.1. Brazil Oil and Gas Analytics 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 Service
        • 10.3.1.2.2. By Deployment Mode
        • 10.3.1.2.3. By Application
    • 10.3.2. Colombia Oil and Gas Analytics 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 Service
        • 10.3.2.2.2. By Deployment Mode
        • 10.3.2.2.3. By Application
    • 10.3.3. Argentina Oil and Gas Analytics Market Outlook
      • 10.3.3.1. Market Size & Forecast
        • 10.3.3.1.1. By Value
      • 10.3.3.2. Market Share & Forecast
        • 10.3.3.2.1. By Service
        • 10.3.3.2.2. By Deployment Mode
        • 10.3.3.2.3. By Application

11. Market Dynamics

  • 11.1. Drivers
  • 11.2. Challenges

12. Market Trends & Developments

  • 12.1. Merger & Acquisition (If Any)
  • 12.2. Product Launches (If Any)
  • 12.3. Recent Developments

13. Global Oil and Gas Analytics Market: SWOT Analysis

14. Porter's Five Forces Analysis

  • 14.1. Competition in the Industry
  • 14.2. Potential of New Entrants
  • 14.3. Power of Suppliers
  • 14.4. Power of Customers
  • 14.5. Threat of Substitute Products

15. Competitive Landscape

  • 15.1. SAP SE
    • 15.1.1. Business Overview
    • 15.1.2. Products & Services
    • 15.1.3. Recent Developments
    • 15.1.4. Key Personnel
    • 15.1.5. SWOT Analysis
  • 15.2. Microsoft Corporation
  • 15.3. Hitachi America, Ltd.
  • 15.4. Oracle Corporation
  • 15.5. Cognizant Technology Solutions U.S.
  • 15.6. Capgemini SE
  • 15.7. Accenture plc
  • 15.8. Cisco System, Inc.
  • 15.9. Tibco software
  • 15.10. International Business Machines Corporation

16. Strategic Recommendations

17. About Us & Disclaimer