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市场调查报告书
商品编码
1619623

2024 年石油和天然气领域生成人工智慧 (AI) 全球市场报告

Generative Artificial Intelligence (AI) In Oil And Gas Global Market Report 2024
出版日期: | 出版商: The Business Research Company | 英文 175 Pages | 商品交期: 2-10个工作天内

价格
简介目录

石油和天然气领域的生成人工智慧市场规模预计将在未来几年快速成长。 2028年，这一数字将以17.1%的复合年增长率成长至8.4亿美元。预测期内的预期成长可归因于多个因素，包括业务效率的提高、透过人工智慧主导的洞察优化资源开采和管理、环境合规性和供应链优化。人工智慧还可以帮助改善风险评估和缓解策略。预测期内预计的主要趋势包括先进的预测性维护、人工智慧主导的探勘、自动钻井优化、用于风险评估和缓解的复杂人工智慧模型以及增强的供应链管理。

云端技术的日益普及预计将推动生成式人工智慧在石油和天然气领域的扩展。云端技术描述了透过互联网而不是依赖本地伺服器或个人设备的运算服务，例如储存、处理和应用程式。对可扩展IT基础设施、成本效率、改进协作以及增加远端工作和数位转型的需求推动了对云端解决方案的需求激增。透过提供处理大型资料集集所需的运算能力和存储，云端技术支援石油和天然气领域的生成式人工智慧，以增强预测分析、优化资源开采并改善决策。例如，欧盟统计局2023年12月报告称，45.2%的欧盟企业购买了云端运算服务，购买率从2021年到2023年增加了4.2个百分点。这种向云端技术的转变正在推动石油和天然气领域的生成人工智慧市场的成长。

石油和天然气生成人工智慧领域的主要企业越来越多地利用先进的人工智慧技术进行资料主导的决策。生成式 AI 的大规模语言模型可以处理 2,500 亿个参数并产生输出，从而增强资料分析、营运效率和预测能力。例如，2024年3月，沙乌地阿美宣布推出Aramco Metabrain AI，这是一个为石油和天然气产业量身打造的大型语言模型。该模型利用阿美公司广泛的历史资料来评估钻井计划、地质资讯和过去的钻井表现，以推荐最佳油井选择并分析精製油价格、市场趋势和地缘政治因素预测。

目录

第一章执行摘要

第二章 市场特点

第三章 市场趋势与策略

第四章宏观经济情景

  • 高通膨对市场的影响
  • 乌克兰与俄罗斯战争对市场的影响
  • COVID-19 对市场的影响

第五章世界市场规模与成长

  • 全球石油和天然气生成人工智慧 (AI) 市场：驱动因素和限制因素
    • 市场驱动因素
    • 市场限制因素
  • 全球生成人工智慧 (AI) 在石油和天然气市场的表现：规模和成长，2018-2023 年
  • 全球生成人工智慧 (AI) 在石油和天然气市场预测：规模和成长，2023-2028 年、2033 年

第六章 市场细分

  • 全球石油和天然气生成人工智慧 (AI) 市场：按部署、性能和预测划分，2018-2023 年、2023-2028 年、2033 年
  • 本地
  • 云端基础
  • 全球石油和天然气生成人工智慧 (AI) 市场：按功能、性能和预测划分，2018-2023、2023-2028、2033
  • 资料分析与解释
  • 预测模型
  • 异常检测
  • 决策支持
  • 其他的
  • 全球石油和天然气生成人工智慧 (AI) 市场：按应用、性能和预测，2018-2023、2023-2028、2033
  • 资产管理
  • 钻井优化
  • 探勘与生产
  • 储存建模
  • 其他的
  • 全球石油和天然气生成人工智慧 (AI) 市场：按最终用户、效能和预测，2018-2023、2023-2028、2033
  • 石油和天然气公司
  • 钻井承包商
  • 设备製造商
  • 服务供应商
  • 顾问公司

第 7 章 区域/国家分析

  • 全球石油和天然气生成人工智慧 (AI) 市场：按地区、绩效和预测，2018-2023、2023-2028、2033
  • 全球石油和天然气生成人工智慧 (AI) 市场：按国家/地区、绩效和预测，2018-2023 年、2023-2028 年、2033 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14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

第三十章 竞争格局及公司概况

  • 石油和天然气领域的生成人工智慧 (AI) 市场：竞争格局
  • 石油和天然气领域的生成人工智慧 (AI) 市场：公司简介
    • Exxon Mobil Corporation
    • Google LLC
    • Chevron Corporation
    • TotalEnergies SE
    • Microsoft Corporation

第31章 其他大型创新企业

  • Equinor ASA
  • Siemens AG
  • International Business Machines Corporation
  • Honeywell International Inc.
  • ABB Ltd.
  • Tata Consultancy Services Limited
  • Cognizant Technology Solutions Corporation
  • Infosys Limited
  • DXC Technology Company
  • Emerson Electric Co.
  • Wipro Limited
  • Rockwell Automation Inc.
  • AVEVA Group plc
  • Aspen Technology Inc.
  • C3.ai Inc.

第32章竞争基准化分析

第 33 章. 竞争对手仪表板

第三十四章 重大併购

第35章 未来展望与潜力分析

第36章附录

简介目录
Product Code: r20628

Generative artificial intelligence (AI) in the oil and gas sector involves AI systems capable of generating new data, models, or insights from existing information. This capability enhances decision-making, efficiency, and innovation by forecasting equipment failures, reservoir behavior, and production outcomes through advanced simulation models. It also improves the automation of routine tasks such as data analysis and reporting by developing adaptive and intelligent systems.

Generative AI in the oil and gas industry is primarily deployed either on-premise or in the cloud. On-premise solutions are installed and operated on a company's own hardware. These solutions handle various tasks such as data analysis, predictive modeling, anomaly detection, and decision support for applications including asset maintenance, drilling optimization, exploration and production, and reservoir modeling. These systems serve a range of users, including oil and gas companies, drilling contractors, equipment manufacturers, service providers, and consulting firms.

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

The generative artificial intelligence in the oil and gas market size has grown rapidly in recent years. It will grow from $0.38 billion in 2023 to $0.45 billion in 2024 at a compound annual growth rate (CAGR) of 17.0%. The growth observed in the historic period can be linked to several factors, including enhancements in efficiency, optimization of exploration and production processes, digital transformation efforts, the drive to lower operational costs during times of reduced oil prices, and the growing amount of data generated from sensors and exploration activities.

The generative artificial intelligence in the oil and gas market size is expected to see rapid growth in the next few years. It will grow to $0.84 billion in 2028 at a compound annual growth rate (CAGR) of 17.1%. The anticipated growth during the forecast period can be attributed to several factors, including enhanced operational efficiency, optimization of resource extraction and management through AI-driven insights, environmental compliance, and supply chain optimization. AI also contributes to improved risk assessment and mitigation strategies. Key trends expected in the forecast period include advanced predictive maintenance, AI-driven exploration, automated drilling optimization, sophisticated AI models for risk assessment and mitigation, and enhanced supply chain management.

The growing adoption of cloud technologies is expected to drive the expansion of generative AI in the oil and gas sector. Cloud technologies offer computing services such as storage, processing, and applications over the Internet, rather than relying on local servers or personal devices. The surge in demand for cloud solutions is fueled by the need for scalable IT infrastructure, cost efficiency, improved collaboration, and the rise in remote work and digital transformation. By providing the necessary computational power and storage for handling large data sets, cloud technologies support generative AI in oil and gas, leading to enhanced predictive analytics, optimized resource extraction, and improved decision-making. For example, Eurostat reported in December 2023 that 45.2% of EU enterprises had purchased cloud computing services, with a 4.2 percentage point increase in such purchases from 2021 to 2023. This shift towards cloud technologies is therefore propelling the growth of generative AI in the oil and gas market.

Major players in the generative AI sector for oil and gas are increasingly utilizing advanced AI technologies for data-driven decision-making. Generative AI large language models, which can process and generate outputs with 250 billion parameters, are enhancing data analysis, operational efficiency, and predictive capabilities. For instance, in March 2024, Saudi Aramco introduced Aramco Metabrain AI, a large language model tailored for the oil and gas industry. This model uses Aramco's extensive historical data to assess drilling plans, geological information, and past drilling performance to recommend optimal well options and forecast refined product prices, market trends, and geopolitical factors.

In May 2023, Shell plc partnered with SparkCognition to expedite the imaging and exploration of subsurface structures using generative AI technology. SparkCognition, a US-based firm specializing in AI-driven solutions, collaborates with oil and gas companies to enhance operational efficiency, reduce costs, and improve safety.

Major companies operating in the generative artificial intelligence (AI) in oil and gas market are Exxon Mobil Corporation, Google LLC, Chevron Corporation, TotalEnergies SE, Microsoft Corporation, Equinor ASA, Siemens AG, International Business Machines Corporation, Honeywell International Inc., ABB Ltd., Tata Consultancy Services Limited, Cognizant Technology Solutions Corporation, Infosys Limited, DXC Technology Company, Emerson Electric Co., Wipro Limited, Rockwell Automation Inc., AVEVA Group plc, Aspen Technology Inc., C3.ai Inc., Altair Engineering Inc.

North America was the largest region in the generative artificial intelligence in the oil and gas market in 2023. The regions covered in the generative artificial intelligence (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 generative artificial intelligence (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 generative artificial intelligence (AI) in oil and gas market consists of revenues earned by entities by providing services such as exploration and reservoir modeling, predictive maintenance, operational optimization, and supply chain management. The market value includes the value of related goods sold by the service provider or included within the service offering. The generative artificial intelligence (AI) in oil and gas market also includes sales of servers and computing hardware for AI processing, and sensors and IoT devices for data collection. 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.

Generative Artificial Intelligence (AI) In Oil And Gas Global Market Report 2024 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 generative artificial intelligence (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.

Reasons to Purchase

  • Gain a truly global perspective with the most comprehensive report available on this market covering 50+ geographies.
  • Understand how the market has been affected by the COVID-19 and how it is responding as the impact of the virus abates.
  • Assess the Russia - Ukraine war's impact on agriculture, energy and mineral commodity supply and its direct and indirect impact on the market.
  • Measure the impact of high global inflation on market growth.
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Where is the largest and fastest growing market for generative artificial intelligence (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? The generative artificial intelligence (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 impact of sanctions, supply chain disruptions, and altered demand for goods and services due to the Russian Ukraine war, impacting various macro-economic factors and parameters in the Eastern European region and its subsequent effect on global markets.

The impact of higher inflation in many countries and the resulting spike in interest rates.

The continued but declining impact of COVID-19 on supply chains and consumption patterns.

  • 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. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
  • 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 Deployment: On-Premise; Cloud-Based
  • 2) By Function: Data Analysis And Interpretation; Predictive Modelling; Anomaly Detection; Decision Support; Other Functions
  • 3) By Application: Asset Maintenance; Drilling Optimization; Exploration And Production; Reservoir Modelling; Other Applications
  • 4) By End User: Oil And Gas Companies; Drilling Contractors; Equipment Manufacturers; Service Providers; Consulting Firms
  • Companies Mentioned: Exxon Mobil Corporation; Google LLC; Chevron Corporation; TotalEnergies SE; Microsoft Corporation
  • 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. Generative Artificial Intelligence (AI) In Oil And Gas Market Characteristics

3. Generative Artificial Intelligence (AI) In Oil And Gas Market Trends And Strategies

4. Generative Artificial Intelligence (AI) In Oil And Gas Market - Macro Economic Scenario

  • 4.1. Impact Of High Inflation On The Market
  • 4.2. Ukraine-Russia War Impact On The Market
  • 4.3. COVID-19 Impact On The Market

5. Global Generative Artificial Intelligence (AI) In Oil And Gas Market Size and Growth

  • 5.1. Global Generative Artificial Intelligence (AI) In Oil And Gas Market Drivers and Restraints
    • 5.1.1. Drivers Of The Market
    • 5.1.2. Restraints Of The Market
  • 5.2. Global Generative Artificial Intelligence (AI) In Oil And Gas Historic Market Size and Growth, 2018 - 2023, Value ($ Billion)
  • 5.3. Global Generative Artificial Intelligence (AI) In Oil And Gas Forecast Market Size and Growth, 2023 - 2028, 2033F, Value ($ Billion)

6. Generative Artificial Intelligence (AI) In Oil And Gas Market Segmentation

  • 6.1. Global Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • On-Premise
  • Cloud-Based
  • 6.2. Global Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By Function, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Data Analysis And Interpretation
  • Predictive Modelling
  • Anomaly Detection
  • Decision Support
  • Other Functions
  • 6.3. Global Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Asset Maintenance
  • Drilling Optimization
  • Exploration And Production
  • Reservoir Modelling
  • Other Applications
  • 6.4. Global Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Oil And Gas Companies
  • Drilling Contractors
  • Equipment Manufacturers
  • Service Providers
  • Consulting Firms

7. Generative Artificial Intelligence (AI) In Oil And Gas Market Regional And Country Analysis

  • 7.1. Global Generative Artificial Intelligence (AI) In Oil And Gas Market, Split By Region, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 7.2. Global Generative Artificial Intelligence (AI) In Oil And Gas Market, Split By Country, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

8. Asia-Pacific Generative Artificial Intelligence (AI) In Oil And Gas Market

  • 8.1. Asia-Pacific Generative Artificial Intelligence (AI) In Oil And Gas Market Overview
  • Region Information, Impact Of COVID-19, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 8.2. Asia-Pacific Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 8.3. Asia-Pacific Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 8.4. Asia-Pacific Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

9. China Generative Artificial Intelligence (AI) In Oil And Gas Market

  • 9.1. China Generative Artificial Intelligence (AI) In Oil And Gas Market Overview
  • 9.2. China Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion
  • 9.3. China Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion
  • 9.4. China Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion

10. India Generative Artificial Intelligence (AI) In Oil And Gas Market

  • 10.1. India Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 10.2. India Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 10.3. India Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

11. Japan Generative Artificial Intelligence (AI) In Oil And Gas Market

  • 11.1. Japan Generative Artificial Intelligence (AI) In Oil And Gas Market Overview
  • 11.2. Japan Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 11.3. Japan Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 11.4. Japan Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

12. Australia Generative Artificial Intelligence (AI) In Oil And Gas Market

  • 12.1. Australia Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 12.2. Australia Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 12.3. Australia Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

13. Indonesia Generative Artificial Intelligence (AI) In Oil And Gas Market

  • 13.1. Indonesia Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 13.2. Indonesia Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 13.3. Indonesia Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

14. South Korea Generative Artificial Intelligence (AI) In Oil And Gas Market

  • 14.1. South Korea Generative Artificial Intelligence (AI) In Oil And Gas Market Overview
  • 14.2. South Korea Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 14.3. South Korea Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 14.4. South Korea Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

15. Western Europe Generative Artificial Intelligence (AI) In Oil And Gas Market

  • 15.1. Western Europe Generative Artificial Intelligence (AI) In Oil And Gas Market Overview
  • 15.2. Western Europe Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 15.3. Western Europe Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 15.4. Western Europe Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

16. UK Generative Artificial Intelligence (AI) In Oil And Gas Market

  • 16.1. UK Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 16.2. UK Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 16.3. UK Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

17. Germany Generative Artificial Intelligence (AI) In Oil And Gas Market

  • 17.1. Germany Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 17.2. Germany Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 17.3. Germany Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

18. France Generative Artificial Intelligence (AI) In Oil And Gas Market

  • 18.1. France Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 18.2. France Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 18.3. France Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

19. Italy Generative Artificial Intelligence (AI) In Oil And Gas Market

  • 19.1. Italy Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 19.2. Italy Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 19.3. Italy Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

20. Spain Generative Artificial Intelligence (AI) In Oil And Gas Market

  • 20.1. Spain Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 20.2. Spain Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 20.3. Spain Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

21. Eastern Europe Generative Artificial Intelligence (AI) In Oil And Gas Market

  • 21.1. Eastern Europe Generative Artificial Intelligence (AI) In Oil And Gas Market Overview
  • 21.2. Eastern Europe Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 21.3. Eastern Europe Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 21.4. Eastern Europe Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

22. Russia Generative Artificial Intelligence (AI) In Oil And Gas Market

  • 22.1. Russia Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 22.2. Russia Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 22.3. Russia Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

23. North America Generative Artificial Intelligence (AI) In Oil And Gas Market

  • 23.1. North America Generative Artificial Intelligence (AI) In Oil And Gas Market Overview
  • 23.2. North America Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 23.3. North America Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 23.4. North America Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

24. USA Generative Artificial Intelligence (AI) In Oil And Gas Market

  • 24.1. USA Generative Artificial Intelligence (AI) In Oil And Gas Market Overview
  • 24.2. USA Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 24.3. USA Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 24.4. USA Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

25. Canada Generative Artificial Intelligence (AI) In Oil And Gas Market

  • 25.1. Canada Generative Artificial Intelligence (AI) In Oil And Gas Market Overview
  • 25.2. Canada Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 25.3. Canada Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 25.4. Canada Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

26. South America Generative Artificial Intelligence (AI) In Oil And Gas Market

  • 26.1. South America Generative Artificial Intelligence (AI) In Oil And Gas Market Overview
  • 26.2. South America Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 26.3. South America Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 26.4. South America Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

27. Brazil Generative Artificial Intelligence (AI) In Oil And Gas Market

  • 27.1. Brazil Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 27.2. Brazil Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 27.3. Brazil Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

28. Middle East Generative Artificial Intelligence (AI) In Oil And Gas Market

  • 28.1. Middle East Generative Artificial Intelligence (AI) In Oil And Gas Market Overview
  • 28.2. Middle East Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 28.3. Middle East Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 28.4. Middle East Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

29. Africa Generative Artificial Intelligence (AI) In Oil And Gas Market

  • 29.1. Africa Generative Artificial Intelligence (AI) In Oil And Gas Market Overview
  • 29.2. Africa Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 29.3. Africa Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 29.4. Africa Generative Artificial Intelligence (AI) In Oil And Gas Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

30. Generative Artificial Intelligence (AI) In Oil And Gas Market Competitive Landscape And Company Profiles

  • 30.1. Generative Artificial Intelligence (AI) In Oil And Gas Market Competitive Landscape
  • 30.2. Generative Artificial Intelligence (AI) In Oil And Gas Market Company Profiles
    • 30.2.1. Exxon Mobil Corporation
      • 30.2.1.1. Overview
      • 30.2.1.2. Products and Services
      • 30.2.1.3. Strategy
      • 30.2.1.4. Financial Performance
    • 30.2.2. Google LLC
      • 30.2.2.1. Overview
      • 30.2.2.2. Products and Services
      • 30.2.2.3. Strategy
      • 30.2.2.4. Financial Performance
    • 30.2.3. Chevron Corporation
      • 30.2.3.1. Overview
      • 30.2.3.2. Products and Services
      • 30.2.3.3. Strategy
      • 30.2.3.4. Financial Performance
    • 30.2.4. TotalEnergies SE
      • 30.2.4.1. Overview
      • 30.2.4.2. Products and Services
      • 30.2.4.3. Strategy
      • 30.2.4.4. Financial Performance
    • 30.2.5. Microsoft Corporation
      • 30.2.5.1. Overview
      • 30.2.5.2. Products and Services
      • 30.2.5.3. Strategy
      • 30.2.5.4. Financial Performance

31. Generative Artificial Intelligence (AI) In Oil And Gas Market Other Major And Innovative Companies

  • 31.1. Equinor ASA
  • 31.2. Siemens AG
  • 31.3. International Business Machines Corporation
  • 31.4. Honeywell International Inc.
  • 31.5. ABB Ltd.
  • 31.6. Tata Consultancy Services Limited
  • 31.7. Cognizant Technology Solutions Corporation
  • 31.8. Infosys Limited
  • 31.9. DXC Technology Company
  • 31.10. Emerson Electric Co.
  • 31.11. Wipro Limited
  • 31.12. Rockwell Automation Inc.
  • 31.13. AVEVA Group plc
  • 31.14. Aspen Technology Inc.
  • 31.15. C3.ai Inc.

32. Global Generative Artificial Intelligence (AI) In Oil And Gas Market Competitive Benchmarking

33. Global Generative Artificial Intelligence (AI) In Oil And Gas Market Competitive Dashboard

34. Key Mergers And Acquisitions In The Generative Artificial Intelligence (AI) In Oil And Gas Market

35. Generative Artificial Intelligence (AI) In Oil And Gas Market Future Outlook and Potential Analysis

  • 35.1 Generative Artificial Intelligence (AI) In Oil And Gas Market In 2028 - Countries Offering Most New Opportunities
  • 35.2 Generative Artificial Intelligence (AI) In Oil And Gas Market In 2028 - Segments Offering Most New Opportunities
  • 35.3 Generative Artificial Intelligence (AI) In Oil And Gas Market In 2028 - 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