石油和天然气分析市场 - 全球产业规模、份额、趋势、机会和预测（按服务、部署类型、应用、地区和竞争格局划分），2021-2031年

全球油气分析市场预计将从2025年的106.4亿美元成长到2031年的330.3亿美元，复合年增长率（CAGR）为20.78%。该市场涵盖先进的软体和服务解决方案，旨在处理探勘、生产和炼油活动中的复杂资料集，并优化决策流程。推动这一成长的关键因素包括营运效率的重要性以及预测性维护的普及，后者能够显着减少资产停机时间和资本支出。这些营运需求促使企业采用能够改善资源分配和安全标准的分析工具，而这种需求在一般的技术变革中尤其突出。

然而，资料孤岛仍然是市场成长的一大障碍，因为将现代分析技术与分散的旧有系统整合仍然是一项复杂且耗费资源的任务。这种技术壁垒常常阻碍数据顺利聚合，进而影响到获得准确洞察。 DNV报告称，到2025年，74%的能源专业人士将更加重视数位化，以应对这种复杂性并提升业务绩效。这一数字凸显了能源产业在克服技术鸿沟方面坚定不移的资金投入，儘管现代化现有基础设施本身就面临着许多挑战。

市场驱动因素

物联网 (IoT) 和巨量资料的快速普及正在推动实体资产与先进数位生态系统之间的无缝融合，从根本上改变市场格局。营运商正利用云端原生平台和边缘运算来处理大量的地震和营运数据，从而提升储存表征和钻井精度。这种技术融合使得以往孤立的数据流得以货币化，并显着推动了数位服务领域的收入成长。例如，SLB 于 2025 年 1 月公布，其 2024 财年的数位收入年增 20%，达到 24.4 亿美元，凸显了市场对涵盖整个能源生命週期的整合数据解决方案的强劲需求。

同时，对营运效率和成本降低的日益重视正推动产业利用分析技术来最大化价值并延长资产寿命。随着现成蕴藏量的减少，企业正优先考虑预测性维护和人工智慧驱动的自动化，以减少计划外停机时间并优化生产力，同时严格遵守资本纪律。这种转变正在将维护从被动支出转变为策略价值创造。根据彭博社2025年6月的报告，沙乌地阿美宣布，由于在所有营运环节实施人工智慧，其数位转型措施在2024年创造了40亿美元的以金额为准，比上年度翻了一番。这一趋势在整个行业中显而易见：贝克休斯公司报告称，截至2025年1月，其工业和能源技术部门已订单2024年全年130亿美元的订单，凸显了市场对提升工业绩效技术的投资。

市场挑战

全球油气分析市场面临许多重大障碍：根深蒂固的资料孤岛以及将现代分析软体与老旧、分散的旧有系统整合的难题。这项技术挑战直接阻碍了市场扩张，因为它妨碍了准确、即时决策所需的数据的顺利聚合。当探勘和生产数据仍然被锁定在孤立的基础设施中时，企业在准备分析数据集方面会付出过高的成本和时间，这往往会降低新软体实施的预期投资收益(ROI)。因此，许多组织不愿在初始试点阶段之后扩展其分析解决方案，抑制了其在市场上的广泛应用。

这种碎片化造成了严重的能力差距，限制了能源产业充分利用先进预测工具的能力。根据DNV预测，到2024年，仅有21%领导企业%。这种差距表明，相当一部分市场缺乏进行复杂分析所需的基本数据成熟度。只要这些整合挑战持续存在，就会继续限制分析供应商的潜在市场规模，进而限制整个产业的获利能力。

市场趋势

ESG分析在碳足迹和排放监测领域的兴起，正从根本上改变能源公司应对环境合规和永续性目标的方式。在日益增长的监管压力下，营运商不再满足于简单的报告，而是部署复杂的分析平台，整合卫星影像、无人机数据和地面感测器，以实现精准的甲烷检测。这些工具使公司能够即时量化排放，并优先制定减排策略，将环境数据从被动的合规义务转变为关键的营运指标。根据石油天然气气候倡议（OGCI）于2024年11月发布的《2024年进展报告》，成员公司已利用这些先进的监测框架，成功地将上游甲烷排放强度较2017年降低了62%。

将生成式人工智慧应用于合成资料生成和情境建模，正成为地下表征和储存工程领域的一股变革力量。与依赖计算密集型物理模拟的传统方法相比，这些人工智慧驱动的系统能够以前所未有的速度生成合成数据集并模拟复杂的地质情景，从而显着加快探勘和碳储存评估的速度。这种能力使地球科学家能够快速评估数千种潜在结果，优化油田开发方案，同时降低资本风险。壳牌公司在2024年12月发布的数位化创新策略报告中指出，该公司部署了一种人工智慧模型，其模拟地下储存二氧化碳储存的速度比标准实体模拟快约10万倍。

目录

第一章概述

第二章调查方法

第三章执行摘要

第四章：客户评价

第五章 全球油气分析市场展望

• 市场规模及预测
  • 按金额
• 市占率及预测
  • 依服务类型（专业服务、云端服务、整合服务）
  • 依部署类型（本机部署、云端部署）
  • 依应用领域划分（上游（探勘与钻井、现场监控与监控、生产计画与预测、设施维护管理、资产绩效、劳动力管理）、中游（管道SCADA、船队、储存最佳化）、下游（商品交易、需求预测、定价、炼油））
  • 按地区
  • 按公司（2025 年）
• 市场地图

6. 北美油气分析市场展望

• 市场规模及预测
• 市占率及预测
• 北美洲：国家分析
  • 美国
  • 加拿大
  • 墨西哥

7. 欧洲油气分析市场展望

• 市场规模及预测
• 市占率及预测
• 欧洲：国家分析
  • 德国
  • 法国
  • 英国
  • 义大利
  • 西班牙

8. 亚太地区油气分析市场展望

• 市场规模及预测
• 市占率及预测
• 亚太地区：国家分析
  • 中国
  • 印度
  • 日本
  • 韩国
  • 澳洲

9. 中东和非洲油气分析市场展望

• 市场规模及预测
• 市占率及预测
• 中东和非洲：国家分析
  • 沙乌地阿拉伯
  • 阿拉伯聯合大公国
  • 南非

10. 南美油气分析市场展望

• 市场规模及预测
• 市占率及预测
• 南美洲：国家分析
  • 巴西
  • 哥伦比亚
  • 阿根廷

第十一章 市场动态

• 司机
• 任务

第十二章 市场趋势与发展

• 併购
• 产品发布
• 最新进展

第十三章 全球油气分析市场：SWOT分析

第十四章 波特五力分析

• 产业竞争
• 新进入者的可能性
• 供应商电力
• 顾客权力
• 替代品的威胁

第十五章 竞争格局

• 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

第十六章 策略建议

第十七章：关于研究公司及免责声明

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.

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