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石油・ガスにおけるAIの世界市場レポート 2025年

AI In Oil And Gas Global Market Report 2025


出版日
ページ情報
英文 200 Pages
納期
2~10営業日
カスタマイズ可能
適宜更新あり
価格
価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=143.57円
石油・ガスにおけるAIの世界市場レポート 2025年
出版日: 2025年02月18日
発行: The Business Research Company
ページ情報: 英文 200 Pages
納期: 2~10営業日
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概要

石油・ガスにおけるAIの市場規模は、今後数年で急成長が見込まれます。2029年にはCAGR13.3%で67億米ドルに成長します。予測期間の成長は、自律的オペレーション開拓、サイバーセキュリティ対策、エネルギー移行統合、ダイナミックプライシング戦略、レジリエンス計画、世界市場の変動対応に起因すると考えられます。予測期間における主な動向には、資産モデリングのためのデジタルツイン、自律運用とロボット工学、貯水池管理のための高度な分析、意思決定支援のためのコグニティブコンピューティング、クラウドベースのAIソリューション、遠隔監視と制御などがあります。

同市場の主要企業は、キャッシュフロー管理を改善し、処理時間を短縮し、請求書発行と回収の精度を高めるために、AI技術の進歩を優先しています。AI技術は、思考、学習、自律的な意思決定を行うように設計された機械に人間の知能をシミュレートします。例えば、インドネシアを拠点とするインターネット・サービス・プロバイダーのインドサットは、2024年7月、AIを活用したクラウドベースのソリューション・スイートを発表しました。このスイートはAIを活用し、高解像度の地震波測定を通じて探査手法を強化するもので、生産量を10%も向上させる可能性があります。

エネルギー需要の高まりは、石油・ガスにおけるAI市場の成長軌道を推進するもう一つの極めて重要な要因となっています。消費者や産業が必要とするエネルギー量を示すエネルギー需要は、石油・ガス部門の資源配分を導く重要な指標として機能します。AIアルゴリズムは、エネルギー消費パターンの分析において極めて重要な役割を果たし、効率的な資源配分、コスト削減、廃棄物の最小化を促進します。特に、欧州委員会は2023年8月、エネルギー効率について野心的な目標を設定し、2020年までに20%増、2030年までに少なくとも35%増を目標としています。このようなエネルギー需要の急増が、石油・ガスにおけるAI市場の成長を大きく後押ししています。

目次

第1章 エグゼクティブサマリー

第2章 市場の特徴

第3章 市場動向と戦略

第4章 市場:金利、インフレ、地政学、コロナ禍、回復が市場に与える影響を含むマクロ経済シナリオ

第5章 世界の成長分析と戦略分析フレームワーク

  • 世界の石油・ガスにおけるAI PESTEL分析(政治、社会、技術、環境、法的要因、促進要因、抑制要因)
  • 最終用途産業の分析
  • 世界の石油・ガスにおけるAI市場:成長率分析
  • 世界の石油・ガスにおけるAI市場の実績:規模と成長, 2019-2024
  • 世界の石油・ガスにおけるAI市場の予測:規模と成長, 2024-2029, 2034F
  • 世界の石油・ガスにおけるAI総アドレス可能市場(TAM)

第6章 市場セグメンテーション

  • 世界の石油・ガスにおけるAI市場:タイプ別、実績と予測, 2019-2024, 2024-2029F, 2034F
  • ハードウェア
  • ソフトウェア
  • ハイブリッド
  • 世界の石油・ガスにおけるAI市場:機能別、実績と予測, 2019-2024, 2024-2029F, 2034F
  • 予知保全と機械検査
  • 物質の移動
  • 生産計画
  • フィールドサービス
  • 品質管理
  • リクラメーション
  • 世界の石油・ガスにおけるAI市場:プロセス別、実績と予測, 2019-2024, 2024-2029F, 2034F
  • 貯留層の最適化
  • 掘削の最適化
  • 生産の最適化
  • 安全管理
  • その他のプロセス
  • 世界の石油・ガスにおけるAI市場:技術別、実績と予測, 2019-2024, 2024-2029F, 2034F
  • モノのインターネット(IoT)
  • 高度な分析
  • ロボット工学
  • クラウドコンピューティング
  • モビリティ
  • その他の技術
  • 世界の石油・ガスにおけるAI市場:ハードウェアのサブセグメンテーション、タイプ別、実績と予測, 2019-2024, 2024-2029F, 2034F
  • AI搭載センサー
  • エッジコンピューティングデバイス
  • ロボットとドローン
  • 世界の石油・ガスにおけるAI市場:ソフトウェアのサブセグメンテーション、タイプ別、実績と予測, 2019-2024, 2024-2029F, 2034F
  • 機械学習プラットフォーム
  • データ分析ソフトウェア
  • 予知保全ソリューション
  • 視覚化ツール
  • 世界の石油・ガスにおけるAI市場:ハイブリッドのサブセグメンテーション、タイプ別、実績と予測, 2019-2024, 2024-2029F, 2034F
  • 統合AIシステム
  • クラウドベースのAIソリューション
  • IoTとAIを組み合わせたプラットフォーム

第7章 地域別・国別分析

  • 世界の石油・ガスにおけるAI市場:地域別、実績と予測, 2019-2024, 2024-2029F, 2034F
  • 世界の石油・ガスにおけるAI市場:国別、実績と予測, 2019-2024, 2024-2029F, 2034F

第8章 アジア太平洋市場

第9章 中国市場

第10章 インド市場

第11章 日本市場

第12章 オーストラリア市場

第13章 インドネシア市場

第14章 韓国市場

第15章 西欧市場

第16章 英国市場

第17章 ドイツ市場

第18章 フランス市場

第19章 イタリア市場

第20章 スペイン市場

第21章 東欧市場

第22章 ロシア市場

第23章 北米市場

第24章 米国市場

第25章 カナダ市場

第26章 南米市場

第27章 ブラジル市場

第28章 中東市場

第29章 アフリカ市場

第30章 競合情勢と企業プロファイル

  • 石油・ガスにおけるAI市場:競合情勢
  • 石油・ガスにおけるAI市場:企業プロファイル
    • 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 その他の大手企業と革新的企業

  • 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 世界の市場競合ベンチマーキングとダッシュボード

第33章 主要な合併と買収

第34章 最近の市場動向

第35章 市場の潜在力が高い国、セグメント、戦略

  • 石油・ガスにおけるAI市場2029:新たな機会を提供する国
  • 石油・ガスにおけるAI市場2029:新たな機会を提供するセグメント
  • 石油・ガスにおけるAI市場2029:成長戦略
    • 市場動向に基づく戦略
    • 競合の戦略

第36章 付録

目次
Product Code: r22335

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.

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 $4.06 billion in 2025 at a compound annual growth rate (CAGR) of 13.1%. 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 $6.7 billion in 2029 at a compound annual growth rate (CAGR) of 13.3%. 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.

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? 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 Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.

  • 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 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
  • 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 And Covid And Recovery On The Market

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