2025年石油和天然气产业人工智慧全球市场报告

预计未来几年，油气产业人工智慧市场规模将快速成长。至2029年，该市场规模将成长至66亿美元，复合年增长率为13.1%。预测期间的成长可归因于自主营运的开拓、网路安全措施、能源转型整合、动态定价策略、弹性规划以及因应全球市场波动。预测期内的主要趋势包括用于资产建模的数位双胞胎、自主运营和机器人技术、用于油藏管理的高级分析、用于决策支援的认知计算、云端基础的人工智慧解决方案以及远端监控。

未来五年预测成长率为13.1%，较我们先前对该市场的预测略有下降0.3%。这一下降主要源自于美国与其他国家之间关税的影响。这可能会直接影响美国，限制其从台湾和韩国主要供应商取得高效能运算硬体和人工智慧软体，减缓探勘和钻井作业的效率提升。此外，由于互惠关税以及贸易紧张局势和限制措施加剧对全球经济和贸易的负面影响，其影响也将更加广泛。

市场主要企业正优先考虑人工智慧技术的进步，以改善现金流管理、缩短处理时间并提高开立发票和收款的准确性。人工智慧技术在能够思考、学习和自主决策的机器中模拟人类智慧。例如，印尼网路服务供应商Indosat于2024年7月推出了一款基于人工智慧的云端基础解决方案套件。该套件利用人工智慧，透过高解析度地震测量来增强探勘方法，预计将产量提高高达10%。

目录

第一章执行摘要

第二章 市场特征

第三章 市场趋势与策略

第四章 市场：宏观经济情景，包括利率、通膨、地缘政治、贸易战和关税，以及新冠疫情和復苏对市场的影响

第五章 全球成长分析与策略分析框架

• 全球石油和天然气产业的人工智慧：PESTEL 分析（政治、社会、技术、环境、法律因素、驱动因素和限制因素）
• 最终用途产业分析
• 全球石油和天然气市场人工智慧：成长率分析
• 全球石油与天然气人工智慧市场表现：规模与成长，2019-2024
• 全球石油与天然气人工智慧市场预测：2024-2029 年及 2034 年规模与成长
• 全球石油和天然气产业的人工智慧：总潜在市场（TAM）

第六章市场区隔

• 全球石油天然气市场人工智慧类型、表现及预测（2019-2024 年、2024-2029 年及 2034 年）
• 硬体
• 软体
• 杂交种
• 全球石油天然气市场人工智慧：按功能、表现和预测，2019-2024 年、2024-2029 年、2034 年
• 预测性维护和机器检查
• 物料转移
• 生产计画
• 现场服务
• 品管
• 发展
• 全球石油和天然气人工智慧市场：按流程、性能和预测，2019-2024 年、2024-2029 年、2034 年
• 储存优化
• 钻井优化
• 生产最佳化
• 安全管理
• 其他流程
• 全球石油天然气市场人工智慧技术、表现及预测（2019-2024 年、2024-2029 年及 2034 年）
• 物联网 (IoT)
• 进阶分析
• 机器人技术
• 云端运算
• 行动性
• 其他技术
• 全球石油天然气市场人工智慧，按硬体类型细分，性能和预测，2019-2024 年、2024-2029 年、2034 年
• 人工智慧感测器
• 边缘运算设备
• 机器人和无人机
• 全球石油天然气市场人工智慧，依软体类型细分，绩效及预测，2019-2024 年、2024-2029 年、2034 年
• 机器学习平台
• 数据分析软体
• 预测性维护解决方案
• 视觉化工具
• 全球石油天然气市场人工智慧，依混合类型细分，绩效及预测，2019-2024 年、2024-2029 年、2034 年
• 整合人工智慧系统
• 云端基础的人工智慧解决方案
• 结合物联网和人工智慧的平台

第七章 区域和国家分析

• 全球石油天然气市场人工智慧：按地区、绩效及预测，2019-2024 年、2024-2029 年、2034 年
• 全球石油和天然气市场人工智慧：按国家/地区、表现和预测，2019-2024 年、2024-2029 年、2034 年

第八章 亚太市场

第九章：中国市场

第十章 印度市场

第十一章 日本市场

第十二章 澳洲市场

第十三章 印尼市场

第十四章 韩国市场

第十五章 西欧市场

第十六章英国市场

第十七章 德国市场

第十八章 法国市场

第十九章：义大利市场

第20章：西班牙市场

第21章 东欧市场

第22章 俄罗斯市场

第23章 北美市场

第24章美国市场

第25章：加拿大市场

第26章 南美洲市场

第27章：巴西市场

第28章 中东市场

第29章：非洲市场

第30章竞争格局与公司概况

• 石油天然气产业的人工智慧：竞争格局
• 石油天然气产业的人工智慧：公司简介
  • The International Business Machines Corporation Overview, Products and Services, Strategy and Financial Analysis
  • Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
  • Accenture PLC Overview, Products and Services, Strategy and Financial Analysis
  • Google LLC Overview, Products and Services, Strategy and Financial Analysis
  • Intel Corporation Overview, Products and Services, Strategy and Financial Analysis

第31章 其他大型创新企业

• Schlumberger Limited
• Halliburton Company
• Baker Hughes Company
• National Oilwell Varco Inc.
• Weatherford International PLC
• TechnipFMC PLC
• Wood PLC
• ABB Ltd
• Siemens AG
• Honeywell International Inc.
• Emerson Electric Co.
• General Electric Company
• Rockwell Automation Inc.
• Schneider Electric SE
• Yokogawa Electric Corporation

第 32 章全球市场竞争基准化分析与仪表板

第33章 重大併购

第34章近期市场趋势

第 35 章 高市场潜力国家、细分市场与策略

• 2029年石油天然气产业的人工智慧：一个提供新机会的国家
• 2029年石油天然气产业的人工智慧：带来新机会领域
• 2029年石油天然气产业的人工智慧：成长策略
  • 基于市场趋势的策略
  • 竞争对手的策略

第36章 附录

AI in the oil and gas industry is employed for a range of functions, including upstream operations, customized drilling, and optimization of downstream operations. Artificial intelligence (AI) involves creating machines that can emulate human intelligence, enabling them to act and think like people.

The main types of AI in the oil and gas sector are categorized into hardware, software, and hybrids. Hardware refers to the tangible components of computers or delivery systems responsible for storing and executing the written instructions provided by the software. Various functions of AI in this industry include predictive maintenance and machinery inspection, material movement, production planning, field services, quality control, and reclamation. Different processes involve reservoir optimization, drilling optimization, production optimization, safety management, and other related processes. Technologies such as the Internet of Things (IoT), advanced analytics, robotics, cloud computing, mobility, and others play a crucial role in the implementation of AI in oil and gas. Applications span the upstream, downstream, and midstream sectors of the industry.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The sharp rise in U.S. tariffs and ensuing trade tensions in spring 2025 are heavily impacting the oil and gas industry, especially in areas such as exploration equipment, pipeline development, and refining operations. Increased import duties on drilling rigs, steel pipes, and specialized machinery have significantly raised capital expenditures across both upstream and downstream segments. Midstream players are grappling with cost surges for essential components like valves, compressors, and storage tanks, causing delays and disruptions in expansion projects. Refiners, meanwhile, are contending with higher expenses for imported catalysts and control systems critical to operational efficiency. In addition, retaliatory tariffs from major trade partners have curtailed U.S. exports of liquefied natural gas (LNG) and crude oil, reducing global competitiveness. In response, companies are ramping up investments in domestic manufacturing alliances, digital asset management tools, and diversified energy portfolios to maintain resilience and protect profitability.

The AI in oil and gas market research report is one of a series of new reports from The Business Research Company that provides AI in oil and gas market statistics, including AI in oil and gas industry global market size, regional shares, competitors with a AI in oil and gas market share, detailed AI in oil and gas market segments, market trends and opportunities, and any further data you may need to thrive in the AI in oil and gas industry. This AI in oil and gas market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The AI in oil and gas market size has grown rapidly in recent years. It will grow from $3.59 billion in 2024 to $4.04 billion in 2025 at a compound annual growth rate (CAGR) of 12.3%. The growth in the historic period can be attributed to data explosion in the industry, operational efficiency improvement, automation of repetitive tasks, safety enhancement, optimization of exploration and drilling processes, enhanced reservoir management.

The AI in oil and gas market size is expected to see rapid growth in the next few years. It will grow to $6.6 billion in 2029 at a compound annual growth rate (CAGR) of 13.1%. The growth in the forecast period can be attributed to autonomous operations development, cybersecurity measures, energy transition integration, dynamic pricing strategies, resilience planning, global market volatility response. Major trends in the forecast period include digital twins for asset modeling, autonomous operations and robotics, advanced analytics for reservoir management, cognitive computing for decision support, cloud-based AI solutions, remote monitoring and control.

The forecast of 13.1% growth over the next five years reflects a modest reduction of 0.3% from the previous estimate for this market.This reduction is primarily due to the impact of tariffs between the US and other countries. This is likely to directly affect the US through restricted access to high-performance computing hardware and artificial intelligence software from key suppliers in Taiwan and South Korea, delaying efficiency improvements in exploration and drilling operations.The effect will also be felt more widely due to reciprocal tariffs and the negative effect on the global economy and trade due to increased trade tensions and restrictions.

Major companies in the market are prioritizing advancements in AI technology to improve cash flow management, decrease processing times, and enhance accuracy in invoicing and collections. AI technology simulates human intelligence in machines that are designed to think, learn, and make autonomous decisions. For example, in July 2024, Indosat, an Indonesia-based internet service provider, launched a suite of AI-powered, cloud-based solutions. This suite leverages AI to enhance exploration methods through high-resolution seismic wave measurements, which could potentially boost production by as much as 10%.

The escalating energy demand serves as another pivotal driver propelling the growth trajectory of the AI in oil and gas market. Energy demand, representing the quantity of energy required by consumers or industries, acts as a crucial metric guiding resource allocation in the oil and gas sector. AI algorithms play a pivotal role in analyzing energy consumption patterns, facilitating efficient resource allocation, cost reduction, and waste minimization. Notably, the European Commission, in August 2023, set ambitious goals for energy efficiency, targeting a 20% increase by 2020 and at least 35% by 2030. This surge in energy demand significantly drives the growth of the AI in oil and gas market.

Major companies in the AI in the oil and gas market are concentrating on creating technologically advanced solutions, such as AI tools designed to optimize operations, enhance predictive maintenance, and improve safety and efficiency. These AI tools encompass sophisticated software and algorithms that analyze data to streamline processes, predict equipment failures, and enhance decision-making within oil and gas operations. For example, in July 2024, Indosat, an Indonesia-based internet service provider, launched a suite of AI-powered, cloud-based solutions. This suite boosts operational efficiency by automating tasks and optimizing resource allocation, resulting in substantial cost savings. Furthermore, it facilitates data-driven decision-making through the rapid analysis of large datasets, thereby enhancing productivity across the organization.

Leading entities within the AI in oil and gas market are at the forefront of innovating new technologies, notably exemplified by the emergence of Intelligent E&P (Exploration and Production) solutions. This digital system serves as a critical enabler for oil and gas companies, facilitating advanced and efficient E&P research through the integration of high-performance computing, extensive data storage, AI exploration models, and collaborative scheduling of software and hardware resources. A significant development occurred in September 2023 when Huawei Technologies Co Ltd., a prominent China-based technology company, unveiled its Intelligent E&P Solution. Huawei's E&P cloud solution revolutionizes operations by enabling the conversion of capital expenditure (CAPEX) to operational expenditure (OPEX) and substantially amplifying efficiency in seismic processing and interpretation. Centralized data administration and cloud-based sharing play pivotal roles in enhancing exploration and prediction efficiency, while also consolidating and disseminating professional expertise, marking a transformative leap in the industry.

In March 2023, Accenture plc, a multinational professional services firm based in Ireland, acquired Flutura Decision Sciences and Analytics for an undisclosed amount. This acquisition is part of Accenture's strategy to enhance its digital capabilities, broaden its service offerings, and foster innovation for its clients in an increasingly competitive landscape. Flutura Decision Sciences and Analytics, located in India, specializes in data analytics and artificial intelligence solutions.

Major companies operating in the AI in oil and gas market are The International Business Machines Corporation, Microsoft Corporation, Accenture PLC, Google LLC, Intel Corporation, Schlumberger Limited, Halliburton Company, Baker Hughes Company, National Oilwell Varco Inc., Weatherford International PLC, TechnipFMC PLC, Wood PLC, ABB Ltd, Siemens AG, Honeywell International Inc., Emerson Electric Co., General Electric Company, Rockwell Automation Inc., Schneider Electric SE, Yokogawa Electric Corporation, Mitsubishi Electric Corporation, Toshiba Corporation, Hitachi Ltd., Panasonic Corporation, NEC Corporation, Fujitsu Limited, Samsung Electronics Co. Ltd., LG Electronics Inc., Sony Corporation, Oracle Corporation, Numenta Corporation, Sentient Technologies Inc.

North America was the largest region in the AI in oil and gas market in 2024 and is expected to be the fastest-growing region in the forecast period. The regions covered in the ai in oil and gas market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the ai in oil and gas market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The AI in oil and gas market consists of revenues earned by entities by professional services, managed services, installation, training and support and maintenance. The market value includes the value of related goods sold by the service provider or included within the service offering. The AI in oil and gas market also includes sales of hardware and software used in providing AI in oil and gas services. Values in this market are 'factory gate' values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

AI in Oil And Gas Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on ai in oil and gas market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

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Where is the largest and fastest growing market for ai in oil and gas ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The ai in oil and gas market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

• The market characteristics section of the report defines and explains the market.
• The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
• The forecasts are made after considering the major factors currently impacting the market. These include:

The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.

• Market segmentations break down the market into sub markets.
• The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
• The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
• The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

Scope

• Markets Covered:1) By Type: Hardware; Software; Hybrid
• 2) By Function: Predictive Maintenance And Machinery Inspection; Material Movement; Production Planning; Field Services; Quality Control; Reclamation
• 3) By Process: Reservoir Optimization; Drilling Optimization; Production Optimization; Safety Management; Other Processes
• 4) By Technology: Internet Of Things (IoT); Advance Analytics; Robotics; Cloud Computing; Mobility; Other Technologies
• Subsegments:
• 1) By Hardware: AI-Powered Sensors; Edge Computing Devices; Robotics And Drones
• 2) By Software: Machine Learning Platforms; Data Analytics Software; Predictive Maintenance Solutions; Visualization Tools
• 3) By Hybrid: Integrated AI Systems; Cloud-Based AI Solutions; IoT And AI Combined Platforms
• Companies Mentioned: The International Business Machines Corporation; Microsoft Corporation; Accenture PLC; Google LLC; Intel Corporation; Schlumberger Limited; Halliburton Company; Baker Hughes Company; National Oilwell Varco Inc.; Weatherford International PLC; TechnipFMC PLC; Wood PLC; ABB Ltd; Siemens AG; Honeywell International Inc.; Emerson Electric Co.; General Electric Company; Rockwell Automation Inc.; Schneider Electric SE; Yokogawa Electric Corporation; Mitsubishi Electric Corporation; Toshiba Corporation; Hitachi Ltd.; Panasonic Corporation; NEC Corporation; Fujitsu Limited; Samsung Electronics Co. Ltd.; LG Electronics Inc.; Sony Corporation; Oracle Corporation; Numenta Corporation; Sentient Technologies Inc.
• Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
• Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
• Time Series: Five years historic and ten years forecast.
• Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
• Data Segmentations: country and regional historic and forecast data, market share of competitors, market segments.
• Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
• Delivery Format: PDF, Word and Excel Data Dashboard.

Table of Contents

1. Executive Summary

2. AI In Oil And Gas Market Characteristics

3. AI In Oil And Gas Market Trends And Strategies

4. AI In Oil And Gas Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, And Covid And Recovery On The Market

• 4.1. Supply Chain Impact from Tariff War & Trade Protectionism

5. Global AI In Oil And Gas Growth Analysis And Strategic Analysis Framework

• 5.1. Global AI In Oil And Gas PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
• 5.2. Analysis Of End Use Industries
• 5.3. Global AI In Oil And Gas Market Growth Rate Analysis
• 5.4. Global AI In Oil And Gas Historic Market Size and Growth, 2019 - 2024, Value ($ Billion)
• 5.5. Global AI In Oil And Gas Forecast Market Size and Growth, 2024 - 2029, 2034F, Value ($ Billion)
• 5.6. Global AI In Oil And Gas Total Addressable Market (TAM)

6. AI In Oil And Gas Market Segmentation

• 6.1. Global AI In Oil And Gas Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Hardware
• Software
• Hybrid
• 6.2. Global AI In Oil And Gas Market, Segmentation By Function, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Predictive Maintenance And Machinery Inspection
• Material Movement
• Production Planning
• Field Services
• Quality Control
• Reclamation
• 6.3. Global AI In Oil And Gas Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Reservoir Optimization
• Drilling Optimization
• Production Optimization
• Safety Management
• Other Processes
• 6.4. Global AI In Oil And Gas Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Internet Of Things (IoT)
• Advance Analytics
• Robotics
• Cloud Computing
• Mobility
• Other Technologies
• 6.5. Global AI In Oil And Gas Market, Sub-Segmentation Of Hardware, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• AI-Powered Sensors
• Edge Computing Devices
• Robotics And Drones
• 6.6. Global AI In Oil And Gas Market, Sub-Segmentation Of Software, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Machine Learning Platforms
• Data Analytics Software
• Predictive Maintenance Solutions
• Visualization Tools
• 6.7. Global AI In Oil And Gas Market, Sub-Segmentation Of Hybrid, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Integrated AI Systems
• Cloud-Based AI Solutions
• IoT And AI Combined Platforms

7. AI In Oil And Gas Market Regional And Country Analysis

• 7.1. Global AI In Oil And Gas Market, Split By Region, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 7.2. Global AI In Oil And Gas Market, Split By Country, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

8. Asia-Pacific AI In Oil And Gas Market

• 8.1. Asia-Pacific AI In Oil And Gas Market Overview
• Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 8.2. Asia-Pacific AI In Oil And Gas Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 8.3. Asia-Pacific AI In Oil And Gas Market, Segmentation By Function, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 8.4. Asia-Pacific AI In Oil And Gas Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

9. China AI In Oil And Gas Market

• 9.1. China AI In Oil And Gas Market Overview
• 9.2. China AI In Oil And Gas Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
• 9.3. China AI In Oil And Gas Market, Segmentation By Function, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
• 9.4. China AI In Oil And Gas Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

10. India AI In Oil And Gas Market

• 10.1. India AI In Oil And Gas Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 10.2. India AI In Oil And Gas Market, Segmentation By Function, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 10.3. India AI In Oil And Gas Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

11. Japan AI In Oil And Gas Market

• 11.1. Japan AI In Oil And Gas Market Overview
• 11.2. Japan AI In Oil And Gas Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 11.3. Japan AI In Oil And Gas Market, Segmentation By Function, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 11.4. Japan AI In Oil And Gas Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

12. Australia AI In Oil And Gas Market

• 12.1. Australia AI In Oil And Gas Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 12.2. Australia AI In Oil And Gas Market, Segmentation By Function, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 12.3. Australia AI In Oil And Gas Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

13. Indonesia AI In Oil And Gas Market

• 13.1. Indonesia AI In Oil And Gas Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 13.2. Indonesia AI In Oil And Gas Market, Segmentation By Function, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 13.3. Indonesia AI In Oil And Gas Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

14. South Korea AI In Oil And Gas Market

• 14.1. South Korea AI In Oil And Gas Market Overview
• 14.2. South Korea AI In Oil And Gas Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 14.3. South Korea AI In Oil And Gas Market, Segmentation By Function, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 14.4. South Korea AI In Oil And Gas Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

15. Western Europe AI In Oil And Gas Market

• 15.1. Western Europe AI In Oil And Gas Market Overview
• 15.2. Western Europe AI In Oil And Gas Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 15.3. Western Europe AI In Oil And Gas Market, Segmentation By Function, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 15.4. Western Europe AI In Oil And Gas Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

16. UK AI In Oil And Gas Market

• 16.1. UK AI In Oil And Gas Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 16.2. UK AI In Oil And Gas Market, Segmentation By Function, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 16.3. UK AI In Oil And Gas Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

17. Germany AI In Oil And Gas Market

• 17.1. Germany AI In Oil And Gas Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 17.2. Germany AI In Oil And Gas Market, Segmentation By Function, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 17.3. Germany AI In Oil And Gas Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

18. France AI In Oil And Gas Market

• 18.1. France AI In Oil And Gas Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 18.2. France AI In Oil And Gas Market, Segmentation By Function, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 18.3. France AI In Oil And Gas Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

19. Italy AI In Oil And Gas Market

• 19.1. Italy AI In Oil And Gas Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 19.2. Italy AI In Oil And Gas Market, Segmentation By Function, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 19.3. Italy AI In Oil And Gas Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

20. Spain AI In Oil And Gas Market

• 20.1. Spain AI In Oil And Gas Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 20.2. Spain AI In Oil And Gas Market, Segmentation By Function, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 20.3. Spain AI In Oil And Gas Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

21. Eastern Europe AI In Oil And Gas Market

• 21.1. Eastern Europe AI In Oil And Gas Market Overview
• 21.2. Eastern Europe AI In Oil And Gas Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 21.3. Eastern Europe AI In Oil And Gas Market, Segmentation By Function, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 21.4. Eastern Europe AI In Oil And Gas Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

22. Russia AI In Oil And Gas Market

• 22.1. Russia AI In Oil And Gas Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 22.2. Russia AI In Oil And Gas Market, Segmentation By Function, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 22.3. Russia AI In Oil And Gas Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

23. North America AI In Oil And Gas Market

• 23.1. North America AI In Oil And Gas Market Overview
• 23.2. North America AI In Oil And Gas Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 23.3. North America AI In Oil And Gas Market, Segmentation By Function, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 23.4. North America AI In Oil And Gas Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

24. USA AI In Oil And Gas Market

• 24.1. USA AI In Oil And Gas Market Overview
• 24.2. USA AI In Oil And Gas Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 24.3. USA AI In Oil And Gas Market, Segmentation By Function, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 24.4. USA AI In Oil And Gas Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

25. Canada AI In Oil And Gas Market

• 25.1. Canada AI In Oil And Gas Market Overview
• 25.2. Canada AI In Oil And Gas Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 25.3. Canada AI In Oil And Gas Market, Segmentation By Function, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 25.4. Canada AI In Oil And Gas Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

26. South America AI In Oil And Gas Market

• 26.1. South America AI In Oil And Gas Market Overview
• 26.2. South America AI In Oil And Gas Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 26.3. South America AI In Oil And Gas Market, Segmentation By Function, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 26.4. South America AI In Oil And Gas Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

27. Brazil AI In Oil And Gas Market

• 27.1. Brazil AI In Oil And Gas Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 27.2. Brazil AI In Oil And Gas Market, Segmentation By Function, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 27.3. Brazil AI In Oil And Gas Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

28. Middle East AI In Oil And Gas Market

• 28.1. Middle East AI In Oil And Gas Market Overview
• 28.2. Middle East AI In Oil And Gas Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 28.3. Middle East AI In Oil And Gas Market, Segmentation By Function, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 28.4. Middle East AI In Oil And Gas Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

29. Africa AI In Oil And Gas Market

• 29.1. Africa AI In Oil And Gas Market Overview
• 29.2. Africa AI In Oil And Gas Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 29.3. Africa AI In Oil And Gas Market, Segmentation By Function, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 29.4. Africa AI In Oil And Gas Market, Segmentation By Process, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

30. AI In Oil And Gas Market Competitive Landscape And Company Profiles

• 30.1. AI In Oil And Gas Market Competitive Landscape
• 30.2. AI In Oil And Gas Market Company Profiles
  • 30.2.1. The International Business Machines Corporation Overview, Products and Services, Strategy and Financial Analysis
  • 30.2.2. Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
  • 30.2.3. Accenture PLC Overview, Products and Services, Strategy and Financial Analysis
  • 30.2.4. Google LLC Overview, Products and Services, Strategy and Financial Analysis
  • 30.2.5. Intel Corporation Overview, Products and Services, Strategy and Financial Analysis

31. AI In Oil And Gas Market Other Major And Innovative Companies

• 31.1. Schlumberger Limited
• 31.2. Halliburton Company
• 31.3. Baker Hughes Company
• 31.4. National Oilwell Varco Inc.
• 31.5. Weatherford International PLC
• 31.6. TechnipFMC PLC
• 31.7. Wood PLC
• 31.8. ABB Ltd
• 31.9. Siemens AG
• 31.10. Honeywell International Inc.
• 31.11. Emerson Electric Co.
• 31.12. General Electric Company
• 31.13. Rockwell Automation Inc.
• 31.14. Schneider Electric SE
• 31.15. Yokogawa Electric Corporation

32. Global AI In Oil And Gas Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The AI In Oil And Gas Market

34. Recent Developments In The AI In Oil And Gas Market

35. AI In Oil And Gas Market High Potential Countries, Segments and Strategies

• 35.1 AI In Oil And Gas Market In 2029 - Countries Offering Most New Opportunities
• 35.2 AI In Oil And Gas Market In 2029 - Segments Offering Most New Opportunities
• 35.3 AI In Oil And Gas Market In 2029 - Growth Strategies
  • 35.3.1 Market Trend Based Strategies
  • 35.3.2 Competitor Strategies

36. Appendix

• 36.1. Abbreviations
• 36.2. Currencies
• 36.3. Historic And Forecast Inflation Rates
• 36.4. Research Inquiries
• 36.5. The Business Research Company
• 36.6. Copyright And Disclaimer