石油・ガス分野の人工知能市場：コンポーネント、機能、用途別-2025-2030年の世界予測

石油・ガス分野の人工知能市場の2023年の市場規模は29億3,000万米ドルで、2024年には33億5,000万米ドルに達すると予測され、CAGR 14.28％で成長し、2030年には74億7,000万米ドルに達すると予測されています。

石油・ガス産業における人工知能（AI）の範囲は、自動化、予測分析、データ主導の意思決定を包含し、業務効率の向上とコスト削減を実現します。この分野でのAIの必要性は、安全性と環境リスクを軽減しながら、探査、掘削、生産の効率を高める必要性から生じています。主な用途には、設備のリアルタイムモニタリング、予知保全、掘削プロセスの最適化、貯留層特性評価の精度向上などがあります。最終用途の範囲には主に上流、中流、下流の活動が含まれ、AIソリューションは業務を合理化し、生産性を向上させる。この業界におけるAIの導入に影響を与える成長要因には、業務効率化の必要性、エネルギー需要の増加、堅牢な分析ツールを必要とする既存のデータストリームの複雑化などがあります。最新のビジネスチャンスは、リアルタイムのデータ処理、予測精度の向上、リソース配備の最適化のためにAIをIoTと統合することから生じています。このような機会を活用するための推奨事項としては、AIを専門とするハイテク企業との提携、労働力スキル強化のためのAIトレーニングプログラムへの投資、アプリケーションを改良するためのAI統合結果の継続的モニタリングなどが挙げられます。とはいえ、高い導入コスト、技術導入への抵抗、データ・プライバシーへの懸念といった市場の抑制要因が成長の妨げとなっています。さらに、業界はAI技術の標準化の欠如やレガシーシステム間のデータ統合の問題に関連する課題に直面しています。研究開発では、費用対効果の高いAIソリューションの開発、アルゴリズム精度の向上、より強固なサイバーセキュリティ対策の育成に注力すべきです。この市場の性質は、技術の進歩と変動するエネルギー需要によって急速に進化しており、競争力学に絶えず適応する必要があります。企業が限界に対処し、業界のニーズに合わせて新たな技術を活用すれば、AI統合を取り入れることで競争優位性を大幅に高めることができます。

市場力学：急速に進化する石油・ガス分野の人工知能市場の主要市場インサイトを公開

石油・ガス分野の人工知能市場は、需要と供給のダイナミックな相互作用によって変貌を遂げています。このような市場力学の進化を理解することで、企業は十分な情報に基づいた投資決定、戦略的意思決定、新たなビジネスチャンスの獲得を行うことができます。これらの動向を包括的に把握することで、企業は政治的、地理的、技術的、社会的、経済的な領域にわたる様々なリスクを軽減することができるとともに、消費者行動とそれが製造コストや購買動向に与える影響をより明確に理解することができます。

• 市場促進要因
  • 石油・ガスの探査と生産に使用される複雑なデータを解読する必要性の高まり
  • 作業現場の安全・セキュリティ基準を監視する需要の高まり
  • 上流工程におけるAIの需要
• 市場抑制要因
  • 設置のための投資コストが高い
• 市場機会
  • 新規開発の可能性をテストし、新規プロジェクトの環境影響にアクセスするためのAIの応用
  • 石油・ガス分野におけるコグニティブ・コンピューティングと機械学習の研究開発の増加
• 市場の課題
  • AIシステムを管理する熟練した専門家が限られている

ポーターのファイブフォース：石油・ガス分野の人工知能市場をナビゲートする戦略ツール

ポーターのファイブフォースフレームワークは、市場情勢の競合情勢を理解するための重要なツールです。ポーターのファイブフォース・フレームワークは、企業の競争力を評価し、戦略的機会を探るための明確な手法を提供します。このフレームワークは、企業が市場内の勢力図を評価し、新規事業の収益性を判断するのに役立ちます。これらの洞察により、企業は自社の強みを活かし、弱みに対処し、潜在的な課題を回避することができ、より強靭な市場でのポジショニングを確保することができます。

PESTLE分析：石油・ガス分野の人工知能市場における外部からの影響の把握

外部マクロ環境要因は、石油・ガス分野の人工知能市場の業績ダイナミクスを形成する上で極めて重要な役割を果たします。政治的、経済的、社会的、技術的、法的、環境的要因の分析は、これらの影響をナビゲートするために必要な情報を提供します。PESTLE要因を調査することで、企業は潜在的なリスクと機会をよりよく理解することができます。この分析により、企業は規制、消費者の嗜好、経済動向の変化を予測し、先を見越した積極的な意思決定を行う準備ができます。

市場シェア分析石油・ガス分野の人工知能市場における競合情勢の把握

石油・ガス分野の人工知能市場の詳細な市場シェア分析により、ベンダーの業績を包括的に評価することができます。企業は、収益、顧客ベース、成長率などの主要指標を比較することで、競争上のポジショニングを明らかにすることができます。この分析により、市場の集中、断片化、統合の動向が明らかになり、ベンダーは競争が激化する中で自社の地位を高める戦略的意思決定を行うために必要な知見を得ることができます。

FPNVポジショニング・マトリックス石油・ガス分野の人工知能市場におけるベンダーのパフォーマンス評価

FPNVポジショニングマトリックスは、石油・ガス分野の人工知能市場においてベンダーを評価するための重要なツールです。このマトリックスにより、ビジネス組織はベンダーのビジネス戦略と製品満足度に基づき評価することで、目標に沿った十分な情報に基づいた意思決定を行うことができます。4つの象限によってベンダーを明確かつ正確にセグメント化し、戦略目標に最適なパートナーやソリューションを特定することができます。

戦略分析と推奨石油・ガス分野の人工知能市場における成功への道筋を描く

石油・ガス分野の人工知能市場の戦略分析は、世界市場でのプレゼンス強化を目指す企業にとって不可欠です。主要なリソース、能力、業績指標を見直すことで、企業は成長機会を特定し、改善に取り組むことができます。このアプローチにより、競合情勢における課題を克服し、新たなビジネスチャンスを活かして長期的な成功を収めるための体制を整えることができます。

本レポートでは、主要な注目分野を網羅した市場の包括的な分析を提供しています：

1.市場の浸透度：現在の市場環境の詳細なレビュー、主要企業による広範なデータ、市場でのリーチと全体的な影響力の評価。

2.市場の開拓度：新興市場における成長機会を特定し、既存分野における拡大可能性を評価し、将来の成長に向けた戦略的ロードマップを提供します。

3.市場の多様化：最近の製品発売、未開拓の地域、業界の主要な進歩、市場を形成する戦略的投資を分析します。

4.競合の評価と情報：競合情勢を徹底的に分析し、市場シェア、事業戦略、製品ポートフォリオ、認証、規制当局の承認、特許動向、主要企業の技術進歩などを検証します。

5.製品開発およびイノベーション：将来の市場成長を促進すると期待される最先端技術、研究開発活動、製品イノベーションをハイライトしています。

また、利害関係者が十分な情報を得た上で意思決定できるよう、重要な質問にも答えています：

1.現在の市場規模と今後の成長予測は？

2.最高の投資機会を提供する製品、セグメント、地域はどこか？

3.市場を形成する主な技術動向と規制の影響とは？

4.主要ベンダーの市場シェアと競合ポジションは？

5.ベンダーの市場参入・撤退戦略の原動力となる収益源と戦略的機会は何か？

目次

第1章 序文

第2章 調査手法

第3章 エグゼクティブサマリー

第4章 市場の概要

第5章 市場洞察

• 市場力学
  • 促進要因
    • 石油・ガスの探査と生産に使用される複雑なデータを解読する必要性が高まっている
    • 作業現場の安全・セキュリティ基準を監視する需要の高まり
    • 上流工程におけるAIの需要
  • 抑制要因
    • 設置にかかる投資コストが高い
  • 機会
    • 潜在的な新開発をテストし、新しいプロジェクトの環境への影響を評価するためのAIの応用
    • 石油・ガス部門における認知コンピューティングと機械学習の研究開発を強化
  • 課題
    • AIシステムを管理できる熟練した専門家が限られている
• 市場セグメンテーション分析
• ポーターのファイブフォース分析
• PESTEL分析
  • 政治的
  • 経済
  • 社交
  • 技術的
  • 法律上
  • 環境

第6章 石油・ガス分野の人工知能市場：コンポーネント別

• ハードウェア
• サービス
• ソフトウェア

第7章 石油・ガス分野の人工知能市場：機能別

• フィールドサービス
• 物質の移動
• 予知保全と機械検査
• 生産計画
• 品質管理
• 開拓

第8章 石油・ガス分野の人工知能市場：用途別

• 下流
• 中流
• 上流

第9章 南北アメリカの石油・ガス分野の人工知能市場

• アルゼンチン
• ブラジル
• カナダ
• メキシコ
• 米国

第10章 アジア太平洋地域の石油・ガス分野の人工知能市場

• オーストラリア
• 中国
• インド
• インドネシア
• 日本
• マレーシア
• フィリピン
• シンガポール
• 韓国
• 台湾
• タイ
• ベトナム

第11章 欧州・中東・アフリカの石油・ガス分野の人工知能市場

• デンマーク
• エジプト
• フィンランド
• フランス
• ドイツ
• イスラエル
• イタリア
• オランダ
• ナイジェリア
• ノルウェー
• ポーランド
• カタール
• ロシア
• サウジアラビア
• 南アフリカ
• スペイン
• スウェーデン
• スイス
• トルコ
• アラブ首長国連邦
• 英国

第12章 競合情勢

• 市場シェア分析2023
• FPNVポジショニングマトリックス, 2023
• 競合シナリオ分析
• 戦略分析と提言

企業一覧

• C3.ai, Inc.
• China Petrochemical Corporation
• Cisco Systems, Inc.
• Flutura
• FuGenX Technologies Pvt. Ltd.
• Infosys Limited
• Intel Corporation
• International Business Machines Corporation
• Microsoft Corporation
• Oracle Corporation
• Saudi Arabian Oil Company
• Seven Lakes Enterprises, Inc.
• Shell plc
• SparkCognition, Inc.
• TotalEnergies SE

LIST OF FIGURES

• FIGURE 1. ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET RESEARCH PROCESS
• FIGURE 2. ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, 2023 VS 2030
• FIGURE 3. GLOBAL ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, 2018-2030 (USD MILLION)
• FIGURE 4. GLOBAL ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY REGION, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 5. GLOBAL ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 6. GLOBAL ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY COMPONENT, 2023 VS 2030 (%)
• FIGURE 7. GLOBAL ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY COMPONENT, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 8. GLOBAL ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY FUNCTION, 2023 VS 2030 (%)
• FIGURE 9. GLOBAL ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY FUNCTION, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 10. GLOBAL ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY APPLICATION, 2023 VS 2030 (%)
• FIGURE 11. GLOBAL ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY APPLICATION, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 12. AMERICAS ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
• FIGURE 13. AMERICAS ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 14. UNITED STATES ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY STATE, 2023 VS 2030 (%)
• FIGURE 15. UNITED STATES ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY STATE, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 16. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
• FIGURE 17. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 18. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
• FIGURE 19. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
• FIGURE 20. ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SHARE, BY KEY PLAYER, 2023
• FIGURE 21. ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET, FPNV POSITIONING MATRIX, 2023

LIST OF TABLES

• TABLE 1. ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SEGMENTATION & COVERAGE
• TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2023
• TABLE 3. GLOBAL ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, 2018-2030 (USD MILLION)
• TABLE 4. GLOBAL ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY REGION, 2018-2030 (USD MILLION)
• TABLE 5. GLOBAL ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 6. ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET DYNAMICS
• TABLE 7. GLOBAL ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 8. GLOBAL ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY HARDWARE, BY REGION, 2018-2030 (USD MILLION)
• TABLE 9. GLOBAL ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY SERVICES, BY REGION, 2018-2030 (USD MILLION)
• TABLE 10. GLOBAL ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY SOFTWARE, BY REGION, 2018-2030 (USD MILLION)
• TABLE 11. GLOBAL ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY FUNCTION, 2018-2030 (USD MILLION)
• TABLE 12. GLOBAL ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY FIELD SERVICES, BY REGION, 2018-2030 (USD MILLION)
• TABLE 13. GLOBAL ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY MATERIAL MOVEMENT, BY REGION, 2018-2030 (USD MILLION)
• TABLE 14. GLOBAL ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY PREDICTIVE MAINTENANCE & MACHINE INSPECTION, BY REGION, 2018-2030 (USD MILLION)
• TABLE 15. GLOBAL ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY PRODUCTION PLANNING, BY REGION, 2018-2030 (USD MILLION)
• TABLE 16. GLOBAL ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY QUALITY CONTROL, BY REGION, 2018-2030 (USD MILLION)
• TABLE 17. GLOBAL ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY RECLAMATION, BY REGION, 2018-2030 (USD MILLION)
• TABLE 18. GLOBAL ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 19. GLOBAL ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY DOWNSTREAM, BY REGION, 2018-2030 (USD MILLION)
• TABLE 20. GLOBAL ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY MIDSTREAM, BY REGION, 2018-2030 (USD MILLION)
• TABLE 21. GLOBAL ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY UPSTREAM, BY REGION, 2018-2030 (USD MILLION)
• TABLE 22. AMERICAS ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 23. AMERICAS ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY FUNCTION, 2018-2030 (USD MILLION)
• TABLE 24. AMERICAS ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 25. AMERICAS ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 26. ARGENTINA ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 27. ARGENTINA ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY FUNCTION, 2018-2030 (USD MILLION)
• TABLE 28. ARGENTINA ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 29. BRAZIL ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 30. BRAZIL ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY FUNCTION, 2018-2030 (USD MILLION)
• TABLE 31. BRAZIL ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 32. CANADA ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 33. CANADA ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY FUNCTION, 2018-2030 (USD MILLION)
• TABLE 34. CANADA ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 35. MEXICO ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 36. MEXICO ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY FUNCTION, 2018-2030 (USD MILLION)
• TABLE 37. MEXICO ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 38. UNITED STATES ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 39. UNITED STATES ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY FUNCTION, 2018-2030 (USD MILLION)
• TABLE 40. UNITED STATES ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 41. UNITED STATES ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY STATE, 2018-2030 (USD MILLION)
• TABLE 42. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 43. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY FUNCTION, 2018-2030 (USD MILLION)
• TABLE 44. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 45. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 46. AUSTRALIA ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 47. AUSTRALIA ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY FUNCTION, 2018-2030 (USD MILLION)
• TABLE 48. AUSTRALIA ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 49. CHINA ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 50. CHINA ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY FUNCTION, 2018-2030 (USD MILLION)
• TABLE 51. CHINA ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 52. INDIA ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 53. INDIA ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY FUNCTION, 2018-2030 (USD MILLION)
• TABLE 54. INDIA ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 55. INDONESIA ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 56. INDONESIA ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY FUNCTION, 2018-2030 (USD MILLION)
• TABLE 57. INDONESIA ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 58. JAPAN ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 59. JAPAN ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY FUNCTION, 2018-2030 (USD MILLION)
• TABLE 60. JAPAN ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 61. MALAYSIA ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 62. MALAYSIA ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY FUNCTION, 2018-2030 (USD MILLION)
• TABLE 63. MALAYSIA ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 64. PHILIPPINES ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 65. PHILIPPINES ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY FUNCTION, 2018-2030 (USD MILLION)
• TABLE 66. PHILIPPINES ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 67. SINGAPORE ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 68. SINGAPORE ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY FUNCTION, 2018-2030 (USD MILLION)
• TABLE 69. SINGAPORE ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 70. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 71. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY FUNCTION, 2018-2030 (USD MILLION)
• TABLE 72. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 73. TAIWAN ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 74. TAIWAN ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY FUNCTION, 2018-2030 (USD MILLION)
• TABLE 75. TAIWAN ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 76. THAILAND ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 77. THAILAND ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY FUNCTION, 2018-2030 (USD MILLION)
• TABLE 78. THAILAND ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 79. VIETNAM ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 80. VIETNAM ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY FUNCTION, 2018-2030 (USD MILLION)
• TABLE 81. VIETNAM ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 82. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 83. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY FUNCTION, 2018-2030 (USD MILLION)
• TABLE 84. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 85. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
• TABLE 86. DENMARK ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 87. DENMARK ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY FUNCTION, 2018-2030 (USD MILLION)
• TABLE 88. DENMARK ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 89. EGYPT ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 90. EGYPT ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY FUNCTION, 2018-2030 (USD MILLION)
• TABLE 91. EGYPT ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 92. FINLAND ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 93. FINLAND ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY FUNCTION, 2018-2030 (USD MILLION)
• TABLE 94. FINLAND ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 95. FRANCE ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 96. FRANCE ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY FUNCTION, 2018-2030 (USD MILLION)
• TABLE 97. FRANCE ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 98. GERMANY ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 99. GERMANY ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY FUNCTION, 2018-2030 (USD MILLION)
• TABLE 100. GERMANY ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 101. ISRAEL ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 102. ISRAEL ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY FUNCTION, 2018-2030 (USD MILLION)
• TABLE 103. ISRAEL ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 104. ITALY ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 105. ITALY ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY FUNCTION, 2018-2030 (USD MILLION)
• TABLE 106. ITALY ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 107. NETHERLANDS ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 108. NETHERLANDS ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY FUNCTION, 2018-2030 (USD MILLION)
• TABLE 109. NETHERLANDS ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 110. NIGERIA ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 111. NIGERIA ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY FUNCTION, 2018-2030 (USD MILLION)
• TABLE 112. NIGERIA ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 113. NORWAY ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 114. NORWAY ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY FUNCTION, 2018-2030 (USD MILLION)
• TABLE 115. NORWAY ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 116. POLAND ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 117. POLAND ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY FUNCTION, 2018-2030 (USD MILLION)
• TABLE 118. POLAND ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 119. QATAR ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 120. QATAR ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY FUNCTION, 2018-2030 (USD MILLION)
• TABLE 121. QATAR ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 122. RUSSIA ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 123. RUSSIA ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY FUNCTION, 2018-2030 (USD MILLION)
• TABLE 124. RUSSIA ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 125. SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 126. SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY FUNCTION, 2018-2030 (USD MILLION)
• TABLE 127. SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 128. SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 129. SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY FUNCTION, 2018-2030 (USD MILLION)
• TABLE 130. SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 131. SPAIN ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 132. SPAIN ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY FUNCTION, 2018-2030 (USD MILLION)
• TABLE 133. SPAIN ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 134. SWEDEN ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 135. SWEDEN ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY FUNCTION, 2018-2030 (USD MILLION)
• TABLE 136. SWEDEN ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 137. SWITZERLAND ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 138. SWITZERLAND ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY FUNCTION, 2018-2030 (USD MILLION)
• TABLE 139. SWITZERLAND ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 140. TURKEY ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 141. TURKEY ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY FUNCTION, 2018-2030 (USD MILLION)
• TABLE 142. TURKEY ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 143. UNITED ARAB EMIRATES ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 144. UNITED ARAB EMIRATES ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY FUNCTION, 2018-2030 (USD MILLION)
• TABLE 145. UNITED ARAB EMIRATES ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 146. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
• TABLE 147. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY FUNCTION, 2018-2030 (USD MILLION)
• TABLE 148. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
• TABLE 149. ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET SHARE, BY KEY PLAYER, 2023
• TABLE 150. ARTIFICIAL INTELLIGENCE IN OIL & GAS MARKET, FPNV POSITIONING MATRIX, 2023

The Artificial Intelligence in Oil & Gas Market was valued at USD 2.93 billion in 2023, expected to reach USD 3.35 billion in 2024, and is projected to grow at a CAGR of 14.28%, to USD 7.47 billion by 2030.

The scope of artificial intelligence (AI) in the oil and gas industry encompasses automation, predictive analytics, and data-driven decision-making to enhance operational efficiencies and reduce costs. AI's necessity in this sector stems from the need to increase efficiency in exploration, drilling, and production while mitigating safety and environmental risks. Key applications include real-time monitoring of equipment, predictive maintenance, optimizing drilling processes, and enhancing the accuracy of reservoir characterization. The end-use scope mainly involves upstream, midstream, and downstream activities, whereby AI solutions streamline operations and increase productivity. Growth factors influencing the adoption of AI in this industry include the need for operational efficiency, increasing demand for energy, and the complexity of existing data streams that necessitate robust analysis tools. The latest opportunities stem from integrating AI with IoT for real-time data processing, enhancing the accuracy of predictions, and optimizing resource deployment. Recommendations for capitalizing on these opportunities include partnerships with tech firms specializing in AI, investing in AI training programs for workforce skill enhancements, and continuous monitoring of AI integration outcomes to refine applications. Nonetheless, market limitations such as high implementation costs, resistance to technological adoption, and concerns over data privacy hinder growth. Additionally, the industry faces challenges related to the lack of standardization in AI technologies and data integration issues across legacy systems. Innovation and research should focus on developing cost-effective AI solutions, improving algorithm accuracy, and fostering more robust cybersecurity measures. The nature of this market is rapidly evolving, driven by technological advances and fluctuating energy demands, which necessitates continual adaptation to competitive dynamics. Embracing AI integration can significantly enhance competitive advantage if businesses address limitations and leverage emerging technologies to align with industry needs.

Market Dynamics: Unveiling Key Market Insights in the Rapidly Evolving Artificial Intelligence in Oil & Gas Market

The Artificial Intelligence in Oil & Gas Market is undergoing transformative changes driven by a dynamic interplay of supply and demand factors. Understanding these evolving market dynamics prepares business organizations to make informed investment decisions, refine strategic decisions, and seize new opportunities. By gaining a comprehensive view of these trends, business organizations can mitigate various risks across political, geographic, technical, social, and economic domains while also gaining a clearer understanding of consumer behavior and its impact on manufacturing costs and purchasing trends.

• Market Drivers
  • Rising need to decode complex data used for oil & gas explorations and production
  • Growing demand to monitor the safety and security standards of the work site
  • Demand for AI in upstream operations
• Market Restraints
  • High cost of investment in installation
• Market Opportunities
  • Application of AI to test potential new developments and to access the environmental impacts of new projects
  • Increasing research and development to explore cognitive computing and machine learning in oil & gas sector
• Market Challenges
  • Limited skilled professionals to manage AI systems

Porter's Five Forces: A Strategic Tool for Navigating the Artificial Intelligence in Oil & Gas Market

Porter's five forces framework is a critical tool for understanding the competitive landscape of the Artificial Intelligence in Oil & Gas Market. It offers business organizations with a clear methodology for evaluating their competitive positioning and exploring strategic opportunities. This framework helps businesses assess the power dynamics within the market and determine the profitability of new ventures. With these insights, business organizations can leverage their strengths, address weaknesses, and avoid potential challenges, ensuring a more resilient market positioning.

PESTLE Analysis: Navigating External Influences in the Artificial Intelligence in Oil & Gas Market

External macro-environmental factors play a pivotal role in shaping the performance dynamics of the Artificial Intelligence in Oil & Gas Market. Political, Economic, Social, Technological, Legal, and Environmental factors analysis provides the necessary information to navigate these influences. By examining PESTLE factors, businesses can better understand potential risks and opportunities. This analysis enables business organizations to anticipate changes in regulations, consumer preferences, and economic trends, ensuring they are prepared to make proactive, forward-thinking decisions.

Market Share Analysis: Understanding the Competitive Landscape in the Artificial Intelligence in Oil & Gas Market

A detailed market share analysis in the Artificial Intelligence in Oil & Gas Market provides a comprehensive assessment of vendors' performance. Companies can identify their competitive positioning by comparing key metrics, including revenue, customer base, and growth rates. This analysis highlights market concentration, fragmentation, and trends in consolidation, offering vendors the insights required to make strategic decisions that enhance their position in an increasingly competitive landscape.

FPNV Positioning Matrix: Evaluating Vendors' Performance in the Artificial Intelligence in Oil & Gas Market

The Forefront, Pathfinder, Niche, Vital (FPNV) Positioning Matrix is a critical tool for evaluating vendors within the Artificial Intelligence in Oil & Gas Market. This matrix enables business organizations to make well-informed decisions that align with their goals by assessing vendors based on their business strategy and product satisfaction. The four quadrants provide a clear and precise segmentation of vendors, helping users identify the right partners and solutions that best fit their strategic objectives.

Strategy Analysis & Recommendation: Charting a Path to Success in the Artificial Intelligence in Oil & Gas Market

A strategic analysis of the Artificial Intelligence in Oil & Gas Market is essential for businesses looking to strengthen their global market presence. By reviewing key resources, capabilities, and performance indicators, business organizations can identify growth opportunities and work toward improvement. This approach helps businesses navigate challenges in the competitive landscape and ensures they are well-positioned to capitalize on newer opportunities and drive long-term success.

Key Company Profiles

The report delves into recent significant developments in the Artificial Intelligence in Oil & Gas Market, highlighting leading vendors and their innovative profiles. These include C3.ai, Inc., China Petrochemical Corporation, Cisco Systems, Inc., Flutura, FuGenX Technologies Pvt. Ltd., Infosys Limited, Intel Corporation, International Business Machines Corporation, Microsoft Corporation, Oracle Corporation, Saudi Arabian Oil Company, Seven Lakes Enterprises, Inc., Shell plc, SparkCognition, Inc., and TotalEnergies SE.

Market Segmentation & Coverage

This research report categorizes the Artificial Intelligence in Oil & Gas Market to forecast the revenues and analyze trends in each of the following sub-markets:

• Based on Component, market is studied across Hardware, Services, and Software.
• Based on Function, market is studied across Field Services, Material Movement, Predictive Maintenance & Machine Inspection, Production Planning, Quality Control, and Reclamation.
• Based on Application, market is studied across Downstream, Midstream, and Upstream.
• Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.

The report offers a comprehensive analysis of the market, covering key focus areas:

1. Market Penetration: A detailed review of the current market environment, including extensive data from top industry players, evaluating their market reach and overall influence.

2. Market Development: Identifies growth opportunities in emerging markets and assesses expansion potential in established sectors, providing a strategic roadmap for future growth.

3. Market Diversification: Analyzes recent product launches, untapped geographic regions, major industry advancements, and strategic investments reshaping the market.

4. Competitive Assessment & Intelligence: Provides a thorough analysis of the competitive landscape, examining market share, business strategies, product portfolios, certifications, regulatory approvals, patent trends, and technological advancements of key players.

5. Product Development & Innovation: Highlights cutting-edge technologies, R&D activities, and product innovations expected to drive future market growth.

The report also answers critical questions to aid stakeholders in making informed decisions:

1. What is the current market size, and what is the forecasted growth?

2. Which products, segments, and regions offer the best investment opportunities?

3. What are the key technology trends and regulatory influences shaping the market?

4. How do leading vendors rank in terms of market share and competitive positioning?

5. What revenue sources and strategic opportunities drive vendors' market entry or exit strategies?

Table of Contents

1. Preface

• 1.1. Objectives of the Study
• 1.2. Market Segmentation & Coverage
• 1.3. Years Considered for the Study
• 1.4. Currency & Pricing
• 1.5. Language
• 1.6. Stakeholders

2. Research Methodology

• 2.1. Define: Research Objective
• 2.2. Determine: Research Design
• 2.3. Prepare: Research Instrument
• 2.4. Collect: Data Source
• 2.5. Analyze: Data Interpretation
• 2.6. Formulate: Data Verification
• 2.7. Publish: Research Report
• 2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

• 5.1. Market Dynamics
  • 5.1.1. Drivers
    • 5.1.1.1. Rising need to decode complex data used for oil & gas explorations and production
    • 5.1.1.2. Growing demand to monitor the safety and security standards of the work site
    • 5.1.1.3. Demand for AI in upstream operations
  • 5.1.2. Restraints
    • 5.1.2.1. High cost of investment in installation
  • 5.1.3. Opportunities
    • 5.1.3.1. Application of AI to test potential new developments and to access the environmental impacts of new projects
    • 5.1.3.2. Increasing research and development to explore cognitive computing and machine learning in oil & gas sector
  • 5.1.4. Challenges
    • 5.1.4.1. Limited skilled professionals to manage AI systems
• 5.2. Market Segmentation Analysis
• 5.3. Porter's Five Forces Analysis
  • 5.3.1. Threat of New Entrants
  • 5.3.2. Threat of Substitutes
  • 5.3.3. Bargaining Power of Customers
  • 5.3.4. Bargaining Power of Suppliers
  • 5.3.5. Industry Rivalry
• 5.4. PESTLE Analysis
  • 5.4.1. Political
  • 5.4.2. Economic
  • 5.4.3. Social
  • 5.4.4. Technological
  • 5.4.5. Legal
  • 5.4.6. Environmental

6. Artificial Intelligence in Oil & Gas Market, by Component

• 6.1. Introduction
• 6.2. Hardware
• 6.3. Services
• 6.4. Software

7. Artificial Intelligence in Oil & Gas Market, by Function

• 7.1. Introduction
• 7.2. Field Services
• 7.3. Material Movement
• 7.4. Predictive Maintenance & Machine Inspection
• 7.5. Production Planning
• 7.6. Quality Control
• 7.7. Reclamation

8. Artificial Intelligence in Oil & Gas Market, by Application

• 8.1. Introduction
• 8.2. Downstream
• 8.3. Midstream
• 8.4. Upstream

9. Americas Artificial Intelligence in Oil & Gas Market

• 9.1. Introduction
• 9.2. Argentina
• 9.3. Brazil
• 9.4. Canada
• 9.5. Mexico
• 9.6. United States

10. Asia-Pacific Artificial Intelligence in Oil & Gas Market

• 10.1. Introduction
• 10.2. Australia
• 10.3. China
• 10.4. India
• 10.5. Indonesia
• 10.6. Japan
• 10.7. Malaysia
• 10.8. Philippines
• 10.9. Singapore
• 10.10. South Korea
• 10.11. Taiwan
• 10.12. Thailand
• 10.13. Vietnam

11. Europe, Middle East & Africa Artificial Intelligence in Oil & Gas Market

• 11.1. Introduction
• 11.2. Denmark
• 11.3. Egypt
• 11.4. Finland
• 11.5. France
• 11.6. Germany
• 11.7. Israel
• 11.8. Italy
• 11.9. Netherlands
• 11.10. Nigeria
• 11.11. Norway
• 11.12. Poland
• 11.13. Qatar
• 11.14. Russia
• 11.15. Saudi Arabia
• 11.16. South Africa
• 11.17. Spain
• 11.18. Sweden
• 11.19. Switzerland
• 11.20. Turkey
• 11.21. United Arab Emirates
• 11.22. United Kingdom

12. Competitive Landscape

• 12.1. Market Share Analysis, 2023
• 12.2. FPNV Positioning Matrix, 2023
• 12.3. Competitive Scenario Analysis
• 12.4. Strategy Analysis & Recommendation

Companies Mentioned

• 1. C3.ai, Inc.
• 2. China Petrochemical Corporation
• 3. Cisco Systems, Inc.
• 4. Flutura
• 5. FuGenX Technologies Pvt. Ltd.
• 6. Infosys Limited
• 7. Intel Corporation
• 8. International Business Machines Corporation
• 9. Microsoft Corporation
• 10. Oracle Corporation
• 11. Saudi Arabian Oil Company
• 12. Seven Lakes Enterprises, Inc.
• 13. Shell plc
• 14. SparkCognition, Inc.
• 15. TotalEnergies SE