石油和天然气市场中人工智慧（AI）的应用、组件、产品和地区

2025 年全球石油和天然气人工智慧 (AI) 市场规模估计为 30.1 亿美元，预计到 2032 年将达到 69.2 亿美元，2025 年至 2032 年的年复合成长率（CAGR）为 12.7%。

数字。 2025年石油和天然气领域人工智慧（AI）市场占有率（按地区）

人工智慧 (AI) 透过自动化日常任务和增强人类决策能力，正在彻底改变每个主要产业。石油和天然气产业也在各种上游和下游业务中使用人工智慧解决方案，包括地震资料分析、储存建模、钻井作业、产量预测和预防性维护。人工智慧正在帮助石油和燃气公司从Petabyte的探勘和生产数据中获得更深入的洞察，以提高采收率、降低成本并优化营运。机器学习演算法可以分析历史资料模式来预测设备故障并建议规范的维护措施。人工智慧的先进分析能力将使石油和天然气公司能够做出明智的商业决策，发现新的蕴藏量，并更有效率地生产石油和天然气。油田的健康和生产商的收益都取决于成功的营运。优化人工智慧（AI）价值链对于这一进程至关重要。

市场动态

石油和天然气领域的人工智慧 (AI) 市场受到优化营运和维护活动的需求驱动。全球能源需求的不断增长和传统型蕴藏量的枯竭促使石油和天然气公司采用数位技术来提高成熟油田的采收率并探勘传统型蕴藏量。然而，高昂的前期投资和熟练劳动力的短缺对人工智慧解决方案的广泛应用构成了挑战。从积极的一面来看，在新冠疫情期间，即时供应链优化和远端营运的重要性日益增加，为人工智慧供应商创造了新的机会。石油公司对排放和永续性目标的日益关注可能会在不久的将来推动对人工智慧主导的效率计画的进一步投资。

研究的主要特点

• 本报告对石油和天然气领域的人工智慧 (AI) 市场进行了详细分析，并以 2024 年为基准年，展示了预测期 (2025-2032) 的市场规模和復合年增长率。
• 它还揭示了各个领域的潜在商机，并说明了该市场的引人注目的投资提案矩阵。
• 它还提供了有关市场驱动因素、限制因素、机会、新产品发布和核准、市场趋势、区域前景以及主要企业采用的竞争策略的主要考察。
• 根据公司亮点、产品系列、关键亮点、财务表现和策略等参数，对石油和天然气市场人工智慧 (AI) 的主要企业进行分析。
• 本报告的见解将使负责人和公司经营团队能够就未来的产品发布、类型升级、市场扩张和行销策略做出明智的决策。
• 石油和天然气市场人工智慧 (AI) 报告迎合了该行业的各个相关人员，例如投资者、供应商、产品製造商、经销商、新进业者和金融分析师。
• 透过在石油和天然气市场分析中人工智慧 (AI) 使用的各种策略矩阵，相关人员将更容易做出决策。

目录

第一章 调查目的与前提条件

• 研究目标
• 先决条件
• 简称

第二章 市场概述

• 报告描述
  • 市场定义和范围
• 执行摘要
• 一致的机会图（COM）

第三章市场动态、法规与趋势分析

• 市场动态
• 石油天然气公司的数位转型之旅
• 需要提高安全性和降低风险
• 初始成本高
• 人工智慧技术人才短缺
• 越来越多采用人工智慧进行预测性维护
• 透过人工智慧整合开发智慧管道和智慧油井。
• 监管情景
• 产品发布/核准
• PEST分析
• 波特分析
• 合併、收购和合作

第四章 石油和天然气市场的人工智慧（AI）－冠状病毒（COVID-19）大流行的影响

• COVID-19流行病学
• 供需侧分析
• 经济影响

5. 2020-2032 年石油和天然气市场中的人工智慧 (AI) 应用

• 介绍
• 能源储存系统（ESS）
• 工业应用

6. 2020-2032 年石油和天然气市场中的人工智慧 (AI) 组成部分

• 介绍
• 可再生能源
• 公共产业
• 製造业

7. 2020-2032 年石油和天然气市场中的人工智慧 (AI)（按产品）

• 介绍
• 直销
• 经销商

8. 2020-2032 年石油和天然气市场中的人工智慧 (AI) 地区分布

• 介绍
• 北美洲
• 欧洲
• 亚太地区
• 拉丁美洲
• 中东和非洲

第九章 竞争态势

• 公司简介
  • Google
  • IBM
  • SAS
  • Microsoft Corporation
  • Accenture Plc.
  • H20.ai.
  • Baidu, Inc.
  • Oracle Corporation

第 10 章 章节

• 参考
• 调查方法
• 关于出版商

Global Artificial Intelligence (AI) in Oil and Gas Market is estimated to be valued at USD 3.01 Bn in 2025 and is expected to reach USD 6.92 Bn by 2032, growing at a compound annual growth rate (CAGR) of 12.7% from 2025 to 2032.

Figure. Artificial Intelligence (AI) In Oil And Gas Market Share (%), By Region 2025

Artificial intelligence (AI) is revolutionizing every major industry by automating routine tasks and augmenting human decision making. The oil and gas industry is also leveraging AI solutions across various upstream and downstream operations like seismic data analysis, reservoir modeling, drilling operations, production forecasting, preventive maintenance, and others. AI is helping oil and gas companies gain deeper insights from vast petabyte volumes of exploration and production data, improve recovery rates, decrease costs and optimize operations. Machine learning algorithms can analyze past data patterns to predict equipment failures and recommend prescriptive maintenance actions. Advanced analytical capabilities of AI are empowering oil and gas companies to make informed business decisions, discover new reserves and produce oil and gas more efficiently. The health of the field and the producer's bottom line both depend on operations running well. Artificial intelligence (AI) value chain optimization is crucial for this journey.

Market Dynamics:

The artificial intelligence (AI) in oil and gas market is driven by the need to optimize operations and maintenance activities. Rising global energy demand and depleting conventional reserves is prompting oil and gas companies to adopt digital technologies for improving recovery rates from mature fields and exploration of unconventional reserves. However, high initial investment and lack of skilled workforce pose a challenge to widespread adoption of AI solutions. On the positive side, growing importance of real-time supply chain optimization and remote operations during COVID-19 pandemic has created new opportunities for AI vendors. Increasing focus on emission reduction and sustainability goals of oil companies will further fuel investments in AI-driven efficiency enhancement programs in near future.

Key features of the study:

• This report provides in-depth analysis of the artificial intelligence(AI) in oil and gas market, and provides market size (US$ Bn) and compound annual growth rate (CAGR %) for the forecast period (2025-2032), considering 2024 as the base year
• It elucidates potential revenue opportunities across different segments and explains attractive investment proposition matrices for this market
• This study also provides key insights about market drivers, restraints, opportunities, new product launches or approval, market trends, regional outlook, and competitive strategies adopted by key players
• It profiles key players in the artificial intelligence (AI) in oil and gas market based on the following parameters - company highlights, products portfolio, key highlights, financial performance, and strategies
• Key companies covered as a part of this study include , Google, IBM, SAS, Microsoft Corporation, Accenture Plc., H2O.ai., Baidu, Inc., and Oracle Corporation
• Insights from this report would allow marketers and the management authorities of the companies to make informed decisions regarding their future product launches, type up-gradation, market expansion, and marketing tactics
• The artificial intelligence(AI) in oil and gas market report caters to various stakeholders in this industry including investors, suppliers, product manufacturers, distributors, new entrants, and financial analysts
• Stakeholders would have ease in decision-making through various strategy matrices used in analyzing the artificial intelligence(AI) in oil and gas market

Detailed Segmentation:

• Artificial Intelligence (AI) in Oil and Gas Market, By Application
  • Energy Storage Systems (ESS)
  • Industrial Applications
• Artificial Intelligence (AI) in Oil and Gas Market, By Component
  • Renewable Energy
  • Utilities
  • Manufacturing
• Artificial Intelligence (AI) in Oil and Gas Market, By Product
  • Direct Sale
  • Distributors
• Artificial Intelligence (AI) in Oil and Gas Market, By Region
  • North America
  • Europe
  • Asia Pacific
  • Latin America
  • Middle East
  • Africa
• Company Profiles
  • Google
  • IBM
  • SAS
  • Accenture Plc
  • Baidu, Inc.
  • H20.ai.
  • Microsoft Corporation
  • Oracle Corporation

Table of Contents

1. Research Objectives and Assumptions

• Research Objectives
• Assumptions
• Abbreviations

2. Market Overview

• Report Description
  • Market Definition and Scope
• Executive Summary
  • AI in Oil and Gas Market, By Application
  • AI in Oil and Gas Market, By Component
  • AI in Oil and Gas Market, By Product
  • AI in Oil and Gas Market, By Region
• Coherent Opportunity Map (COM)

3. Market Dynamics, Regulations, and Trends Analysis

• Market Dynamics
  • Drivers
• Digital transformation efforts by oil and gas companies
• Need for improved safety and risk mitigation
  • Restraints
• High initial costs
• Lack of skilled AI workforce
  • Opportunities
• Increased adoption of AI for predictive maintenance
• Development of smart pipelines and smart wells through AI integration.
• Key Highlights
• Regulatory Scenario
• Recent Trends
• Product Launches/Approvals
• PEST Analysis
• PORTER's Analysis
• Mergers, Acquisitions, and Collaborations

4. Artificial Intelligence (AI) in Oil and Gas Market - Impact of Coronavirus (COVID-19) Pandemic

• COVID-19 Epidemiology
• Supply Side and Demand Side Analysis
• Economic Impact

5. Artificial Intelligence (AI) in Oil and Gas Market, By Application, 2020-2032, (US$ Bn)

• Introduction
  • Market Share Analysis, 2025 and 2032 (%)
  • Y-o-Y Growth Analysis, 2021 - 2032
  • Segment Trends
• Energy Storage Systems (ESS)
  • Introduction
  • Market Size and Forecast, and Y-o-Y Growth, 2025-2032, (US$ Bn)
• Industrial Applications
  • Introduction
  • Market Size and Forecast, and Y-o-Y Growth, 2025-2032,(US$ Bn)

6. Artificial Intelligence (AI) in Oil and Gas Market, By Component, 2020-2032, (US$ Bn)

• Introduction
  • Market Share Analysis, 2025 and 2032 (%)
  • Y-o-Y Growth Analysis, 2021 - 2032
  • Segment Trends
• Renewable Energy
  • Introduction
  • Market Size and Forecast, and Y-o-Y Growth, 2025-2032, (US$ Bn)
• Utilities
  • Introduction
  • Market Size and Forecast, and Y-o-Y Growth, 2025-2032, (US$ Bn)
• Manufacturing
  • Introduction
  • Market Size and Forecast, and Y-o-Y Growth, 2025-2032, (US$ Bn)

7. Artificial Intelligence (AI) in Oil and Gas Market, By Product, 2020-2032,(US$ Bn)

• Introduction
  • Market Share Analysis, 2025 and 2032 (%)
  • Y-o-Y Growth Analysis, 2021 - 2032
  • Segment Trends
• Direct Sales
  • Introduction
  • Market Size and Forecast, and Y-o-Y Growth, 2025-2032, (US$ Bn)
• Distributors
  • Introduction
  • Market Size and Forecast, and Y-o-Y Growth, 2025-2032, (US$ Bn)

8. Artificial Intelligence (AI) in Oil and Gas Market, By Region, 2020-2032, (US$ Bn)

• Introduction
  • Market Share Analysis, By Sub-region, 2025 and 2032 (%)
  • Y-o-Y Growth Analysis, For Sub-region, 2025 -2032
  • Country Trends
• North America
  • Introduction
  • Market Size and Forecast, and Y-o-Y Growth, By Application, 2025-2032, (US$ Bn)
  • Market Size and Forecast, and Y-o-Y Growth, By Component, 2025-2032, (US$ Bn)
  • Market Size and Forecast, and Y-o-Y Growth, By Product, 2025-2032, (US$ Bn)
  • Market Size and Forecast, and Y-o-Y Growth, By Country, 2025-2032, (US$ Bn)
    • U.S.
    • Canada
• Europe
  • Introduction
  • Market Size and Forecast, and Y-o-Y Growth, By Application, 2025-2032,(US$ Bn)
  • Market Size and Forecast, and Y-o-Y Growth, By Component, 2025-2032, (US$ Bn)
  • Market Size and Forecast, and Y-o-Y Growth, By Product, 2025-2032, (US$ Bn)
  • Market Size and Forecast, and Y-o-Y Growth, By Country, 2025-2032, (US$ Bn)
    • Germany
    • U.K.
    • Spain
    • France
    • Italy
    • Russia
    • Rest of Europe
• Asia Pacific
  • Introduction
  • Market Size and Forecast, and Y-o-Y Growth, By Application, 2025-2032,(US$ Bn)
  • Market Size and Forecast, and Y-o-Y Growth, By Component, 2025-2032, (US$ Bn)
  • Market Size and Forecast, and Y-o-Y Growth, By Product, 2025-2032, (US$ Bn)
  • Market Size and Forecast, and Y-o-Y Growth, By Country, 2025-2032, (US$ Bn)
    • China
    • India
    • Japan
    • South Korea
    • ASEAN
    • Rest of Asia Pacific
• Latin America
  • Introduction
  • Market Size and Forecast, and Y-o-Y Growth, By Application, 2025-2032,(US$ Bn)
  • Market Size and Forecast, and Y-o-Y Growth, By Component, 2025-2032, (US$ Bn)
  • Market Size and Forecast, and Y-o-Y Growth, By Product, 2025-2032, (US$ Bn)
  • Market Size and Forecast, and Y-o-Y Growth, By Country, 2025-2032, (US$ Bn)
    • Brazil
    • Argentina
    • Mexico
    • Rest of Latin America
• Middle East & Africa
  • Introduction
  • Market Size and Forecast, and Y-o-Y Growth, By Application, 2025-2032,(US$ Bn)
  • Market Size and Forecast, and Y-o-Y Growth, By Component, 2025-2032, (US$ Bn)
  • Market Size and Forecast, and Y-o-Y Growth, By Product, 2025-2032, (US$ Bn)
  • Market Size and Forecast, and Y-o-Y Growth, By Country/Sub-region, 2025-2032, (US$ Bn)
    • GCC Countries
    • Israel
    • South Africa
    • North Africa
    • Central Africa
    • Rest of Middle East

9. Competitive Landscape

• Company Profile
  • Google
• Company Highlights
• Product Portfolio
• Key Developments
• Financial Performance
• Strategies
  • IBM
• Company Highlights
• Product Portfolio
• Key Highlights
• Financial Performance
• Strategies
  • SAS
• Company Highlights
• Product Portfolio
• Key Highlights
• Financial Performance
• Strategies
  • Microsoft Corporation
• Company Highlights
• Product Portfolio
• Key Highlights
• Financial Performance
• Strategies
  • Accenture Plc.
• Company Highlights
• Product Portfolio
• Key Highlights
• Financial Performance
• Strategies
  • H20.ai.
• Company Highlights
• Product Portfolio
• Key Highlights
• Financial Performance
• Strategies
  • Baidu, Inc.
• Company Highlights
• Product Portfolio
• Key Highlights
• Financial Performance
• Strategies
  • Oracle Corporation
• Company Highlights
• Product Portfolio
• Key Highlights
• Financial Performance
• Strategies
• Analyst Views

10. Section

• References
• Research Methodology
• About us