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市场调查报告书
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1627922

石油和天然气领域的人工智慧 (AI) 市场：预测（2025-2030 年）

Artificial Intelligence (AI) in Oil and Gas Market - Forecasts from 2025 to 2030
出版日期: | 出版商: Knowledge Sourcing Intelligence | 英文 135 Pages | 商品交期: 最快1-2个工作天内

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简介目录

石油和天然气领域的人工智慧（AI）市场预计将从2025年的72.46亿美元增加到2030年的169.51亿美元，复合年增长率为18.53%。

在石油和天然气行业，人工智慧预计将在多种应用中发挥关键作用。基于人工智慧的工具和平台可以帮助了解和分析石油蕴藏量模式，准确探勘新的石油蕴藏量，并降低营运成本。这些工具还有助于监控整个挖掘作业，减少事故和死亡的发生。

推动人工智慧在石油和天然气行业使用的主要因素预计将是全球石油和天然气需求的增加。随着需求的增加，产量也随之增加。公司和组织正在应用基于人工智慧的工具来减少工作时间和成本，并确定新的探勘地点并提高产量。

世界石油和天然气产量每年都在大幅增加。 Enerdata在报告中表示，2022年美国原油总产量为756吨，而加拿大和中国则分别生产约285吨和205吨。 2023年，美国原油产量将增加至820吨，加拿大产量为289吨，中国原油产量为209吨。

预计石油和天然气领域的人工智慧（AI）市场将在预测期内稳步成长。全球石油和天然气产量的成长正在提振市场。此外，在预测期内，人工智慧跨多个产业的不断融合也可能推动人工智慧在石油和天然气市场的发展。

石油和天然气领域人工智慧 (AI) 市场的成长动力

  • 油气生产事故率上升

在石油和天然气行业，人工智慧在检测缺陷、维护服务、了解钻井模式以及探勘石油和天然气蕴藏量等方面具有重要应用。人工智慧在工业中的主要应用是检测系统和机械的缺陷，这有助于减少石油和天然气生产过程中的事故和死亡人数。

全球石油和天然气生产过程中的事故和死亡人数不断增加，将人工智慧纳入业务中可以减少这一数字。国际石油和天然气生产商协会 (IOGP) 在其报告中指出，到 2023 年，承包商的总工作日成本 (LWDC) 为 563，公司为 187。此外，报告发现，2023 年，维修工作约占损失工作日的 20.6%，其次是钻井，占 17.6%，生产占 16.4%。

石油和天然气领域人工智慧 (AI) 市场的地理前景：

  • 北美地区的石油和天然气人工智慧（AI）市场预计将显着成长。

预计北美地区将在预测期内推动全球石油和天然气领域人工智慧（AI）市场的成长。美国由于主要产业集中、政府政策利好以及建设支出增加，在人工智慧领域占据主导市场份额。 OPEC美洲原油蕴藏量2021年为522.3亿桶，2022年增加至557.1亿桶，2023年达582.7亿桶。

根据国际能源统计数据，过去六年美国生产的原油和冷凝油比其他国家都多。 2022年美国原油和租赁冷凝油产量成长6%。 2023 年，美国平均原油产量（包括冷凝油）为 1,290 万桶/日，其次是俄罗斯，为 1,010 万桶/日，沙乌地阿拉伯为 970 万桶/日（ b/d）。

为了因应原油产量的增加，美国能源局（DOE）采取了一系列措施来促进人工智慧的开发和使用。此外，2024 年 6 月，TGS 宣布与 PetroAI 建立策略伙伴关係。此次合作旨在为勘探与生产公司提供整合解决方案，允许用户透过 PetroAI 平台存取 TGS 许可证资料。 PetroAI 利用 TGS 广泛的地下、生产和井眼资料创建先进的人工智慧模型，可准确预测效能并识别设计敏感度。

2024年1月，SLB宣布与Geminus AI达成投资与技术合作协议。这使得 SLB 能够独家存取为石油和天然气营运部署第一个实体人工智慧模型建构器。 Geminus 的模型建构器将基于物理的方法与流程资料结合，产生准确、可部署的 AI 模型。

此外，美国是全球人工智慧研究、开发和部署的主要中心。 2023年美国基本车型数量为109款，远超过第二名中国的20款。基础模型代表了人工智慧的前沿研究。

为什么要购买这份报告？

  • 富有洞察力的分析：获得涵盖关键和新兴地区的深入市场洞察，重点关注客户细分、政府政策和社会经济因素、消费者偏好、行业和其他子区隔。
  • 竞争格局：了解世界主要企业采取的策略策略，并了解透过正确的策略渗透市场的潜力。
  • 市场趋势和驱动因素：探索动态因素和关键市场趋势以及它们将如何影响未来的市场发展。
  • 可行的建议：利用洞察力做出策略决策，以在动态环境中发现新的业务流和收益。
  • 受众广泛：对于新兴企业、研究机构、顾问、中小企业和大型企业有用且具有成本效益。

它有什么用？

产业和市场考量、机会评估、产品需求预测、打入市场策略、地理扩张、资本投资决策、法律规范与影响、新产品开发、竞争影响

调查范围

  • 2022年至2030年历史资料与预测
  • 成长机会、挑战、供应链前景、法规结构、客户行为和趋势分析
  • 竞争定位、策略和市场占有率分析
  • 收益成长与预测 包括国家在内的细分市场和区域评估
  • 公司概况（尤其是重大发展）

石油和天然气市场中的人工智慧（AI）分为以下几个部分进行分析：

按业务

  • 上游
  • 中产阶级
  • 下游

按用途

  • 表面分析
  • 缺陷检测
  • 挖掘/竣工
  • 采矿/运输
  • 加工/精製维护
  • 其他的

按地区

  • 北美洲
  • 美国
  • 加拿大
  • 墨西哥
  • 南美洲
  • 巴西
  • 阿根廷
  • 其他的
  • 欧洲
  • 英国
  • 德国
  • 法国
  • 西班牙
  • 其他的
  • 中东/非洲
  • 沙乌地阿拉伯
  • UAE
  • 南非
  • 其他的
  • 亚太地区
  • 中国
  • 日本
  • 印度
  • 印尼
  • 台湾
  • 其他的

目录

第一章简介

  • 市场概况
  • 市场定义
  • 调查范围
  • 市场区隔
  • 货币
  • 先决条件
  • 基准年和预测年时间表
  • 相关人员的主要利益

第二章调查方法

  • 研究设计
  • 调查过程

第三章执行摘要

  • 主要发现

第四章市场动态

  • 市场驱动因素
  • 市场限制因素
  • 波特五力分析
  • 产业价值链分析
  • 分析师观点

第五章 石油和天然气领域的人工智慧 (AI) 市场：按业务分类

  • 介绍
  • 上游
  • 中产阶级
  • 下游

第六章 石油和天然气领域的人工智慧 (AI) 市场：按应用分类

  • 介绍
  • 表面分析
  • 缺陷检测
  • 钻孔和精加工
  • 集合及交通
  • 加工/精製维护
  • 其他的

第七章 石油和天然气领域的人工智慧（AI）市场：按地区

  • 介绍
  • 北美洲
    • 按操作
    • 按用途
    • 按国家/地区
  • 南美洲
    • 按操作
    • 按用途
    • 按国家/地区
  • 欧洲
    • 按操作
    • 按用途
    • 按国家/地区
  • 中东/非洲
    • 按操作
    • 按用途
    • 按国家/地区
  • 亚太地区
    • 按操作
    • 按用途
    • 按国家/地区

第八章竞争环境及分析

  • 主要企业及策略分析
  • 市场占有率分析
  • 合併、收购、协议和合作
  • 竞争对手仪表板

第九章 公司简介

  • Microsoft Corporation
  • IBM Corporation
  • C3.ai, Inc
  • DataRobot, Inc
  • Aspen Technology Inc
  • FuGenX Technologies
  • Wipro
  • NVIDIA Corporation
  • Advanced Micro Devices, Inc.
  • Huawei Technologies Co., Ltd.
  • Signity Software Solutions
  • Chetu Inc
简介目录
Product Code: KSI061614410

Artificial intelligence (AI) in the oil and gas market is estimated to reach US$16.951 billion by 2030 from US$7.246 billion in 2025, growing at a CAGR of 18.53%.

In the oil and gas industry, AI is set to play a key role in multiple applications. The AI-based tools and platforms can understand and analyze the oil reserve patterns and help in accurately exploring new oil reserves and reducing the cost of operations. These tools also help in monitoring the overall operations of drilling and reduce the occurrence of accidents and fatalities.

A major factor propelling the utilization of AI in the oil and gas industry is forecasted to be the increasing demand for oil and gas worldwide. With this increasing demand, production will witness an increase. Various companies and organizations are applying AI-based tools to reduce operation time and cost and also to identify new exploration locations to boost production.

The global production of oil and gas increased significantly over the years. The Enerdata, in its report, stated that in 2022, the total crude oil produced by the USA was recorded at 756 Mt, whereas Canada and China produced about 285 Mt and 205 Mt, respectively. In 2023, the production of crude oil by the USA increased to 820 Mt, whereas Canada produced 289 Mt, and China produced 209 Mt of crude oil.

Artificial intelligence (AI) in the oil and gas market is estimated to grow at a steady rate during the forecast period. The increasing global oil and gas production is pushing the market forward. Furthermore, the rising integration of AI across multiple industries will also boost the market of AI in oil and gas during the forecasted timeline.

Artificial intelligence (AI) in oil and gas market growth drivers

  • Higher rate of accidents in oil and gas production

In the oil and gas industry, AI will play a key application, like detecting defects, maintaining services, understanding the drilling pattern, and exploring oil & gas reserves. The major application of AI in the industry is the detection of defects in systems and machinery, which can help reduce accidents and fatalities during the production of oil and gas.

The number of accidents and fatalities during the production of oil and gas worldwide are increasing, and this figure can be reduced by integrating AI into the operations. The International Association of Oil & Gas Producers or IOGP , in its report, stated that in 2023, the total cost of the work day (LWDC), which involves incidents of injuries, was recorded at 563 incidents related to contractor, and 187 incidents related to the company. The report further stated that by activity, maintenance caused about 20.6% of the total loss of work days in 2023, followed by 17.6% cases by drilling and 16.4% caused by production.

Artificial intelligence (AI) in the oil and gas market geographical outlook:

  • The North American region is expected to witness significant growth in artificial intelligence (AI) in the oil and gas market.

The North American region is expected to propel the growth of the global AI in the oil and gas market during the forecasted timeline. The USA held the dominant share in artificial intelligence, owing to the concentration of major industries, favorable government policies, and increasing construction expenditure. OPEC America's crude reserves were 52.23 billion barrels in 2021, which increased to 55.71 billion barrels in 2022 and reached 58.27 billion barrels in 2023.

The United States produced more crude oil and condensate than any nation, according to the International Energy Statistics, for the past six years. U.S. crude oil and lease condensate production increased 6% in 2022. Crude oil production in the United States, including condensate, averaged 12.9 million barrels per day (b/d) in 2023, followed by Russia with 10.1 million barrels per day (b/d), and Saudi Arabia with 9.7 million barrels per day (b/d).

This increased production of crude oil led the U.S. Department of Energy (DOE) to take a series of actions delivering on the development and use of Artificial Intelligence. Further, in June 2024, TGS announced a strategic partnership with PetroAI. This collaboration aimed to provide E&P companies with an integrated solution that allows users to access TGS's licensed data via the PetroAI platform. PetroAI would utilize TGS' extensive subsurface, production, and well data to create advanced AI models capable of accurately predicting performance and identifying design sensitivities.

In January 2024, SLB announced an investment and technology partnership agreement with Geminus AI. This gives SLB exclusive access to deploying the first physics-informed AI model builder for Oil and Gas operations. The Geminus model builder fuses physics-based approaches with process data to produce accurate AI models that can be deployed.

Moreover, the United States has become a major hub for global artificial intelligence research, development, and deployment. The number of foundation models in 2023 was 109 for the United States, way higher than the second most prominent country, China, with 20 foundation models. Foundation models represent frontier AI research.

Reasons for buying this report:-

  • Insightful Analysis: Gain detailed market insights covering major as well as emerging geographical regions, focusing on customer segments, government policies and socio-economic factors, consumer preferences, industry verticals, other sub- segments.
  • Competitive Landscape: Understand the strategic maneuvers employed by key players globally to understand possible market penetration with the correct strategy.
  • Market Drivers & Future Trends: Explore the dynamic factors and pivotal market trends and how they will shape up future market developments.
  • Actionable Recommendations: Utilize the insights to exercise strategic decision to uncover new business streams and revenues in a dynamic environment.
  • Caters to a Wide Audience: Beneficial and cost-effective for startups, research institutions, consultants, SMEs, and large enterprises.

What do businesses use our reports for?

Industry and Market Insights, Opportunity Assessment, Product Demand Forecasting, Market Entry Strategy, Geographical Expansion, Capital Investment Decisions, Regulatory Framework & Implications, New Product Development, Competitive Intelligence

Report Coverage:

  • Historical data & forecasts from 2022 to 2030
  • Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, Customer Behaviour, and Trend Analysis
  • Competitive Positioning, Strategies, and Market Share Analysis
  • Revenue Growth and Forecast Assessment of segments and regions including countries
  • Company Profiling (Strategies, Products, Financial Information, and Key Developments among others)

Artificial Intelligence (AI) In the Oil and Gas Market is analyzed into the following segments:

By Operation

  • Upstream
  • Midstream
  • Downstream

By Application

  • Surface Analysis
  • Defect Detection
  • Drilling and Completions
  • Gathering and Transportation
  • Processing and Refining Maintenance
  • Others

By Geography

  • North America
  • USA
  • Canada
  • Mexico
  • South America
  • Brazil
  • Argentina
  • Others
  • Europe
  • United Kingdom
  • Germany
  • France
  • Spain
  • Others
  • Middle East and Africa
  • Saudi Arabia
  • UAE
  • South Africa
  • Others
  • Asia Pacific Region
  • China
  • Japan
  • India
  • Indonesia
  • Taiwan
  • Others

TABLE OF CONTENTS

1. INTRODUCTION

  • 1.1. Market Overview
  • 1.2. Market Definition
  • 1.3. Scope of the Study
  • 1.4. Market Segmentation
  • 1.5. Currency
  • 1.6. Assumptions
  • 1.7. Base and Forecast Years Timeline
  • 1.8. Key benefits for the stakeholders

2. RESEARCH METHODOLOGY

  • 2.1. Research Design
  • 2.2. Research Process

3. EXECUTIVE SUMMARY

  • 3.1. Key Findings

4. MARKET DYNAMICS

  • 4.1. Market Drivers
  • 4.2. Market Restraints
  • 4.3. Porter's Five Forces Analysis
    • 4.3.1. Bargaining Power of Suppliers
    • 4.3.2. Bargaining Power of Buyers
    • 4.3.3. The Threat of New Entrants
    • 4.3.4. Threat of Substitutes
    • 4.3.5. Competitive Rivalry in the Industry
  • 4.4. Industry Value Chain Analysis
  • 4.5. Analyst View

5. ARTIFICIAL INTELLIGENCE (AI) IN OIL AND GAS MARKET BY OPERATION

  • 5.1. Introduction
  • 5.2. Upstream
  • 5.3. Midstream
  • 5.4. Downstream

6. ARTIFICIAL INTELLIGENCE (AI) IN OIL AND GAS MARKET BY APPLICATION

  • 6.1. Introduction
  • 6.2. Surface Analysis
  • 6.3. Defect Detection
  • 6.4. Drilling and Completions
  • 6.5. Gathering and Transportation
  • 6.6. Processing and Refining Maintenance
  • 6.7. Others

7. ARTIFICIAL INTELLIGENCE (AI) IN OIL AND GAS MARKET BY GEOGRAPHY

  • 7.1. Introduction
  • 7.2. North America
    • 7.2.1. By Operation
    • 7.2.2. By Application
    • 7.2.3. By Country
      • 7.2.3.1. United States
      • 7.2.3.2. Canada
      • 7.2.3.3. Mexico
  • 7.3. South America
    • 7.3.1. By Operation
    • 7.3.2. By Application
    • 7.3.3. By Country
      • 7.3.3.1. Brazil
      • 7.3.3.2. Argentina
      • 7.3.3.3. Others
  • 7.4. Europe
    • 7.4.1. By Operation
    • 7.4.2. By Application
    • 7.4.3. By Country
      • 7.4.3.1. United Kingdom
      • 7.4.3.2. Germany
      • 7.4.3.3. France
      • 7.4.3.4. Spain
      • 7.4.3.5. Others
  • 7.5. Middle East and Africa
    • 7.5.1. By Operation
    • 7.5.2. By Application
    • 7.5.3. By Country
      • 7.5.3.1. Saudi Arabia
      • 7.5.3.2. UAE
      • 7.5.3.3. South Africa
      • 7.5.3.4. Others
  • 7.6. Asia Pacific
    • 7.6.1. By Operation
    • 7.6.2. By Application
    • 7.6.3. By Country
      • 7.6.3.1. China
      • 7.6.3.2. Japan
      • 7.6.3.3. India
      • 7.6.3.4. Indonesia
      • 7.6.3.5. Taiwan
      • 7.6.3.6. Others

8. COMPETITIVE ENVIRONMENT AND ANALYSIS

  • 8.1. Major Players and Strategy Analysis
  • 8.2. Market Share Analysis
  • 8.3. Mergers, Acquisitions, Agreements, and Collaborations
  • 8.4. Competitive Dashboard

9. COMPANY PROFILES

  • 9.1. Microsoft Corporation
  • 9.2. IBM Corporation
  • 9.3. C3.ai, Inc
  • 9.4. DataRobot, Inc
  • 9.5. Aspen Technology Inc
  • 9.6. FuGenX Technologies
  • 9.7. Wipro
  • 9.8. NVIDIA Corporation
  • 9.9. Advanced Micro Devices, Inc.
  • 9.10. Huawei Technologies Co., Ltd.
  • 9.11. Signity Software Solutions
  • 9.12. Chetu Inc