2025年石油和天然氣產業人工智慧全球市場報告

預計未來幾年，油氣產業人工智慧市場規模將快速成長。至2029年，該市場規模將成長至66億美元，複合年成長率為13.1%。預測期間的成長可歸因於自主營運的開拓、網路安全措施、能源轉型整合、動態定價策略、彈性規劃以及因應全球市場波動。預測期內的主要趨勢包括用於資產建模的數位雙胞胎、自主營運和機器人技術、用於油藏管理的高級分析、用於決策支援的認知計算、雲端基礎的人工智慧解決方案以及遠端監控。

未來五年預測成長率為13.1%，較我們先前對該市場的預測略有下降0.3%。這一下降主要源自於美國與其他國家之間關稅的影響。這可能會直接影響美國，限制其從台灣和韓國主要供應商取得高效能運算硬體和人工智慧軟體，減緩探勘和鑽井作業的效率提升。此外，由於互惠關稅以及貿易緊張局勢和限制措施加劇對全球經濟和貿易的負面影響，其影響也將更加廣泛。

市場主要企業正優先考慮人工智慧技術的進步，以改善現金流管理、縮短處理時間並提高開立發票和收款的準確性。人工智慧技術在能夠思考、學習和自主決策的機器中模擬人類智慧。例如，印尼網路服務供應商Indosat於2024年7月推出了一款基於人工智慧的雲端基礎解決方案套件。該套件利用人工智慧，透過高解析度地震測量來增強探勘方法，預計將產量提高高達10%。

目錄

第1章執行摘要

第2章 市場特徵

第3章 市場趨勢與策略

第4章 市場：宏觀經濟情景，包括利率、通膨、地緣政治、貿易戰和關稅，以及新冠疫情和復甦對市場的影響

第5章 全球成長分析與策略分析框架

• 全球石油和天然氣產業的人工智慧：PESTEL 分析（政治、社會、技術、環境、法律因素、促進因素和限制因素）
• 最終用途產業分析
• 全球石油和天然氣市場人工智慧：成長率分析
• 全球石油與天然氣人工智慧市場表現：規模與成長，2019-2024
• 全球石油與天然氣人工智慧市場預測：2024-2029 年及 2034 年規模與成長
• 全球石油和天然氣產業的人工智慧：總潛在市場（TAM）

第6章市場區隔

• 全球石油天然氣市場人工智慧類型、表現及預測（2019-2024 年、2024-2029 年及 2034 年）
• 硬體
• 軟體
• 混合
• 全球石油天然氣市場人工智慧：按功能、表現和預測，2019-2024 年、2024-2029 年、2034 年
• 預測性維護和機器檢查
• 物料轉移
• 生產計畫
• 現場服務
• 品管
• 發展
• 全球石油和天然氣人工智慧市場：按流程、性能和預測，2019-2024 年、2024-2029 年、2034 年
• 儲存最佳化
• 鑽井最佳化
• 生產最佳化
• 安全管理
• 其他流程
• 全球石油天然氣市場人工智慧技術、表現及預測（2019-2024 年、2024-2029 年及 2034 年）
• 物聯網 (IoT)
• 進階分析
• 機器人技術
• 雲端運算
• 行動性
• 其他技術
• 全球石油天然氣市場人工智慧，按硬體類型細分，性能和預測，2019-2024 年、2024-2029 年、2034 年
• 人工智慧感測器
• 邊緣運算設備
• 機器人和無人機
• 全球石油天然氣市場人工智慧，依軟體類型細分，績效及預測，2019-2024 年、2024-2029 年、2034 年
• 機器學習平台
• 數據分析軟體
• 預測性維護解決方案
• 視覺化工具
• 全球石油天然氣市場人工智慧，依混合類型細分，績效及預測，2019-2024 年、2024-2029 年、2034 年
• 整合人工智慧系統
• 雲端基礎的人工智慧解決方案
• 結合物聯網和人工智慧的平台

第7章 區域和國家分析

• 全球石油天然氣市場人工智慧：按地區、績效及預測，2019-2024 年、2024-2029 年、2034 年
• 全球石油和天然氣市場人工智慧：按國家/地區、表現和預測，2019-2024 年、2024-2029 年、2034 年

第8章 亞太市場

第9章：中國市場

第10章 印度市場

第11章 日本市場

第12章 澳洲市場

第13章 印尼市場

第14章 韓國市場

第15章 西歐市場

第16章英國市場

第17章 德國市場

第18章 法國市場

第19章：義大利市場

第20章：西班牙市場

第21章 東歐市場

第22章 俄羅斯市場

第23章 北美市場

第24章美國市場

第25章：加拿大市場

第26章 南美洲市場

第27章：巴西市場

第28章 中東市場

第29章：非洲市場

第30章競爭格局與公司概況

• 石油天然氣產業的人工智慧：競爭格局
• 石油天然氣產業的人工智慧：公司簡介
  • 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 其他大型創新企業

• 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 章全球市場競爭基準化分析與儀表板

第33章 重大併購

第34章近期市場趨勢

第 35 章 高市場潛力國家、細分市場與策略

• 2029年石油天然氣產業的人工智慧：一個提供新機會的國家
• 2029年石油天然氣產業的人工智慧：帶來新機會領域
• 2029年石油天然氣產業的人工智慧：成長策略
  • 基於市場趨勢的策略
  • 競爭對手的策略

第36章 附錄

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