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市場調查報告書
商品編碼
1708534

石油和天然氣市場中人工智慧(AI)的應用、組件、產品和地區

Artificial Intelligence (AI) in Oil and Gas Market, By Application, By Component, By Product, By Geography

出版日期: | 出版商: Coherent Market Insights | 英文 150 Pages | 商品交期: 2-3個工作天內

價格
簡介目錄

2025 年全球石油和天然氣人工智慧 (AI) 市場規模估計為 30.1 億美元,預計到 2032 年將達到 69.2 億美元,2025 年至 2032 年的年複合成長率(CAGR)為 12.7%。

報告範圍 報告詳細資訊
基準年 2024 2025年的市場規模 30.1億美元
效能數據 2020-2024 預測期 2025-2032
預測期間:2025年至2032年的複合年成長率 12.70% 2032年價值預測 69.2億美元
數字。 2025年石油和天然氣領域人工智慧(AI)市場佔有率(按地區)
石油和天然氣市場的人工智慧(AI)-IMG1

人工智慧 (AI) 透過自動化日常任務和增強人類決策能力,正在徹底改變每個主要產業。石油和天然氣產業也在各種上游和下游業務中使用人工智慧解決方案,包括地震資料分析、儲存建模、鑽井作業、產量預測和預防性維護。人工智慧正在幫助石油和燃氣公司從Petabyte的探勘和生產數據中獲得更深入的洞察,以提高採收率、降低成本並最佳化營運。機器學習演算法可以分析歷史資料模式來預測設備故障並建議規範的維護措施。人工智慧的先進分析能力將使石油和天然氣公司能夠做出明智的商業決策,發現新的蘊藏量,並更有效率地生產石油和天然氣。油田的健康和生產商的收益都取決於成功的營運。最佳化人工智慧(AI)價值鏈對於這一進程至關重要。

市場動態

石油和天然氣領域的人工智慧 (AI) 市場受到最佳化營運和維護活動的需求驅動。全球能源需求的不斷成長和傳統型蘊藏量的枯竭促使石油和天然氣公司採用數位技術來提高成熟油田的採收率並探勘傳統型蘊藏量。然而,高昂的前期投資和熟練勞動力的短缺對人工智慧解決方案的廣泛應用構成了挑戰。從積極的一面來看,在新冠疫情期間,即時供應鏈最佳化和遠端營運的重要性日益增加,為人工智慧供應商創造了新的機會。石油公司對排放和永續性目標的日益關注可能會在不久的將來推動對人工智慧主導的效率計畫的進一步投資。

研究的主要特點

  • 本報告對石油和天然氣領域的人工智慧 (AI) 市場進行了詳細分析,並以 2024 年為基準年,展示了預測期 (2025-2032) 的市場規模和復合年成長率。
  • 它還揭示了各個領域的潛在商機,並說明了該市場的引人注目的投資提案矩陣。
  • 它還提供了有關市場促進因素、限制因素、機會、新產品發布和核准、市場趨勢、區域前景以及主要企業採用的競爭策略的主要考察。
  • 根據公司亮點、產品系列、關鍵亮點、財務表現和策略等參數,對石油和天然氣市場人工智慧 (AI) 的主要企業進行分析。
  • 本報告的見解將使負責人和公司經營團隊能夠就未來的產品發布、類型升級、市場擴張和行銷策略做出明智的決策。
  • 石油和天然氣市場人工智慧 (AI) 報告迎合了該行業的各個相關人員,例如投資者、供應商、產品製造商、經銷商、新進業者和金融分析師。
  • 透過在石油和天然氣市場分析中人工智慧 (AI) 使用的各種策略矩陣,相關人員將更容易做出決策。

目錄

第1章 調查目的與前提條件

  • 研究目標
  • 先決條件
  • 簡稱

第2章 市場概述

  • 報告描述
    • 市場定義和範圍
  • 執行摘要
  • 一致的機會圖(COM)

第3章市場動態、法規與趨勢分析

  • 市場動態
  • 石油天然氣公司的數位轉型之旅
  • 需要提高安全性和降低風險
  • 初始成本高
  • 人工智慧技術人才短缺
  • 越來越多採用人工智慧進行預測性維護
  • 透過人工智慧整合開發智慧管道和智慧油井。
  • 監管情景
  • 產品發布/核准
  • PEST分析
  • 波特分析
  • 合併、收購和合作

第4章 石油和天然氣市場的人工智慧(AI)-冠狀病毒(COVID-19)大流行的影響

  • COVID-19流行病學
  • 供需側分析
  • 經濟影響

5. 2020-2032 年石油和天然氣市場中的人工智慧 (AI) 應用

  • 介紹
  • 能源儲存系統(ESS)
  • 工業應用

6. 2020-2032 年石油和天然氣市場中的人工智慧 (AI) 組成部分

  • 介紹
  • 可再生能源
  • 公共產業
  • 製造業

7. 2020-2032 年石油和天然氣市場中的人工智慧 (AI)(按產品)

  • 介紹
  • 直銷
  • 經銷商

8. 2020-2032 年石油和天然氣市場中的人工智慧 (AI) 地區分佈

  • 介紹
  • 北美洲
  • 歐洲
  • 亞太地區
  • 拉丁美洲
  • 中東和非洲

第9章 競爭態勢

  • 公司簡介
    • Google
    • IBM
    • SAS
    • Microsoft Corporation
    • Accenture Plc.
    • H20.ai.
    • Baidu, Inc.
    • Oracle Corporation

第 10 章 章節

  • 參考
  • 調查方法
  • 關於出版商
簡介目錄
Product Code: CMI6593

Global Artificial Intelligence (AI) in Oil and Gas Market is estimated to be valued at USD 3.01 Bn in 2025 and is expected to reach USD 6.92 Bn by 2032, growing at a compound annual growth rate (CAGR) of 12.7% from 2025 to 2032.

Report Coverage Report Details
Base Year: 2024 Market Size in 2025: USD 3.01 Bn
Historical Data for: 2020 To 2024 Forecast Period: 2025 To 2032
Forecast Period 2025 to 2032 CAGR: 12.70% 2032 Value Projection: USD 6.92 Bn
Figure. Artificial Intelligence (AI) In Oil And Gas Market Share (%), By Region 2025
Artificial Intelligence (AI) in Oil and Gas Market - IMG1

Artificial intelligence (AI) is revolutionizing every major industry by automating routine tasks and augmenting human decision making. The oil and gas industry is also leveraging AI solutions across various upstream and downstream operations like seismic data analysis, reservoir modeling, drilling operations, production forecasting, preventive maintenance, and others. AI is helping oil and gas companies gain deeper insights from vast petabyte volumes of exploration and production data, improve recovery rates, decrease costs and optimize operations. Machine learning algorithms can analyze past data patterns to predict equipment failures and recommend prescriptive maintenance actions. Advanced analytical capabilities of AI are empowering oil and gas companies to make informed business decisions, discover new reserves and produce oil and gas more efficiently. The health of the field and the producer's bottom line both depend on operations running well. Artificial intelligence (AI) value chain optimization is crucial for this journey.

Market Dynamics:

The artificial intelligence (AI) in oil and gas market is driven by the need to optimize operations and maintenance activities. Rising global energy demand and depleting conventional reserves is prompting oil and gas companies to adopt digital technologies for improving recovery rates from mature fields and exploration of unconventional reserves. However, high initial investment and lack of skilled workforce pose a challenge to widespread adoption of AI solutions. On the positive side, growing importance of real-time supply chain optimization and remote operations during COVID-19 pandemic has created new opportunities for AI vendors. Increasing focus on emission reduction and sustainability goals of oil companies will further fuel investments in AI-driven efficiency enhancement programs in near future.

Key features of the study:

  • This report provides in-depth analysis of the artificial intelligence(AI) in oil and gas market, and provides market size (US$ Bn) and compound annual growth rate (CAGR %) for the forecast period (2025-2032), considering 2024 as the base year
  • It elucidates potential revenue opportunities across different segments and explains attractive investment proposition matrices for this market
  • This study also provides key insights about market drivers, restraints, opportunities, new product launches or approval, market trends, regional outlook, and competitive strategies adopted by key players
  • It profiles key players in the artificial intelligence (AI) in oil and gas market based on the following parameters - company highlights, products portfolio, key highlights, financial performance, and strategies
  • Key companies covered as a part of this study include , Google, IBM, SAS, Microsoft Corporation, Accenture Plc., H2O.ai., Baidu, Inc., and Oracle Corporation
  • Insights from this report would allow marketers and the management authorities of the companies to make informed decisions regarding their future product launches, type up-gradation, market expansion, and marketing tactics
  • The artificial intelligence(AI) in oil and gas market report caters to various stakeholders in this industry including investors, suppliers, product manufacturers, distributors, new entrants, and financial analysts
  • Stakeholders would have ease in decision-making through various strategy matrices used in analyzing the artificial intelligence(AI) in oil and gas market

Detailed Segmentation:

  • Artificial Intelligence (AI) in Oil and Gas Market, By Application
    • Energy Storage Systems (ESS)
    • Industrial Applications
  • Artificial Intelligence (AI) in Oil and Gas Market, By Component
    • Renewable Energy
    • Utilities
    • Manufacturing
  • Artificial Intelligence (AI) in Oil and Gas Market, By Product
    • Direct Sale
    • Distributors
  • Artificial Intelligence (AI) in Oil and Gas Market, By Region
    • North America
    • Europe
    • Asia Pacific
    • Latin America
    • Middle East
    • Africa
  • Company Profiles
    • Google
    • IBM
    • SAS
    • Accenture Plc
    • Baidu, Inc.
    • H20.ai.
    • Microsoft Corporation
    • Oracle Corporation

Table of Contents

1. Research Objectives and Assumptions

  • Research Objectives
  • Assumptions
  • Abbreviations

2. Market Overview

  • Report Description
    • Market Definition and Scope
  • Executive Summary
    • AI in Oil and Gas Market, By Application
    • AI in Oil and Gas Market, By Component
    • AI in Oil and Gas Market, By Product
    • AI in Oil and Gas Market, By Region
  • Coherent Opportunity Map (COM)

3. Market Dynamics, Regulations, and Trends Analysis

  • Market Dynamics
    • Drivers
  • Digital transformation efforts by oil and gas companies
  • Need for improved safety and risk mitigation
    • Restraints
  • High initial costs
  • Lack of skilled AI workforce
    • Opportunities
  • Increased adoption of AI for predictive maintenance
  • Development of smart pipelines and smart wells through AI integration.
  • Key Highlights
  • Regulatory Scenario
  • Recent Trends
  • Product Launches/Approvals
  • PEST Analysis
  • PORTER's Analysis
  • Mergers, Acquisitions, and Collaborations

4. Artificial Intelligence (AI) in Oil and Gas Market - Impact of Coronavirus (COVID-19) Pandemic

  • COVID-19 Epidemiology
  • Supply Side and Demand Side Analysis
  • Economic Impact

5. Artificial Intelligence (AI) in Oil and Gas Market, By Application, 2020-2032, (US$ Bn)

  • Introduction
    • Market Share Analysis, 2025 and 2032 (%)
    • Y-o-Y Growth Analysis, 2021 - 2032
    • Segment Trends
  • Energy Storage Systems (ESS)
    • Introduction
    • Market Size and Forecast, and Y-o-Y Growth, 2025-2032, (US$ Bn)
  • Industrial Applications
    • Introduction
    • Market Size and Forecast, and Y-o-Y Growth, 2025-2032,(US$ Bn)

6. Artificial Intelligence (AI) in Oil and Gas Market, By Component, 2020-2032, (US$ Bn)

  • Introduction
    • Market Share Analysis, 2025 and 2032 (%)
    • Y-o-Y Growth Analysis, 2021 - 2032
    • Segment Trends
  • Renewable Energy
    • Introduction
    • Market Size and Forecast, and Y-o-Y Growth, 2025-2032, (US$ Bn)
  • Utilities
    • Introduction
    • Market Size and Forecast, and Y-o-Y Growth, 2025-2032, (US$ Bn)
  • Manufacturing
    • Introduction
    • Market Size and Forecast, and Y-o-Y Growth, 2025-2032, (US$ Bn)

7. Artificial Intelligence (AI) in Oil and Gas Market, By Product, 2020-2032,(US$ Bn)

  • Introduction
    • Market Share Analysis, 2025 and 2032 (%)
    • Y-o-Y Growth Analysis, 2021 - 2032
    • Segment Trends
  • Direct Sales
    • Introduction
    • Market Size and Forecast, and Y-o-Y Growth, 2025-2032, (US$ Bn)
  • Distributors
    • Introduction
    • Market Size and Forecast, and Y-o-Y Growth, 2025-2032, (US$ Bn)

8. Artificial Intelligence (AI) in Oil and Gas Market, By Region, 2020-2032, (US$ Bn)

  • Introduction
    • Market Share Analysis, By Sub-region, 2025 and 2032 (%)
    • Y-o-Y Growth Analysis, For Sub-region, 2025 -2032
    • Country Trends
  • North America
    • Introduction
    • Market Size and Forecast, and Y-o-Y Growth, By Application, 2025-2032, (US$ Bn)
    • Market Size and Forecast, and Y-o-Y Growth, By Component, 2025-2032, (US$ Bn)
    • Market Size and Forecast, and Y-o-Y Growth, By Product, 2025-2032, (US$ Bn)
    • Market Size and Forecast, and Y-o-Y Growth, By Country, 2025-2032, (US$ Bn)
      • U.S.
      • Canada
  • Europe
    • Introduction
    • Market Size and Forecast, and Y-o-Y Growth, By Application, 2025-2032,(US$ Bn)
    • Market Size and Forecast, and Y-o-Y Growth, By Component, 2025-2032, (US$ Bn)
    • Market Size and Forecast, and Y-o-Y Growth, By Product, 2025-2032, (US$ Bn)
    • Market Size and Forecast, and Y-o-Y Growth, By Country, 2025-2032, (US$ Bn)
      • Germany
      • U.K.
      • Spain
      • France
      • Italy
      • Russia
      • Rest of Europe
  • Asia Pacific
    • Introduction
    • Market Size and Forecast, and Y-o-Y Growth, By Application, 2025-2032,(US$ Bn)
    • Market Size and Forecast, and Y-o-Y Growth, By Component, 2025-2032, (US$ Bn)
    • Market Size and Forecast, and Y-o-Y Growth, By Product, 2025-2032, (US$ Bn)
    • Market Size and Forecast, and Y-o-Y Growth, By Country, 2025-2032, (US$ Bn)
      • China
      • India
      • Japan
      • South Korea
      • ASEAN
      • Rest of Asia Pacific
  • Latin America
    • Introduction
    • Market Size and Forecast, and Y-o-Y Growth, By Application, 2025-2032,(US$ Bn)
    • Market Size and Forecast, and Y-o-Y Growth, By Component, 2025-2032, (US$ Bn)
    • Market Size and Forecast, and Y-o-Y Growth, By Product, 2025-2032, (US$ Bn)
    • Market Size and Forecast, and Y-o-Y Growth, By Country, 2025-2032, (US$ Bn)
      • Brazil
      • Argentina
      • Mexico
      • Rest of Latin America
  • Middle East & Africa
    • Introduction
    • Market Size and Forecast, and Y-o-Y Growth, By Application, 2025-2032,(US$ Bn)
    • Market Size and Forecast, and Y-o-Y Growth, By Component, 2025-2032, (US$ Bn)
    • Market Size and Forecast, and Y-o-Y Growth, By Product, 2025-2032, (US$ Bn)
    • Market Size and Forecast, and Y-o-Y Growth, By Country/Sub-region, 2025-2032, (US$ Bn)
      • GCC Countries
      • Israel
      • South Africa
      • North Africa
      • Central Africa
      • Rest of Middle East

9. Competitive Landscape

  • Company Profile
    • Google
  • Company Highlights
  • Product Portfolio
  • Key Developments
  • Financial Performance
  • Strategies
    • IBM
  • Company Highlights
  • Product Portfolio
  • Key Highlights
  • Financial Performance
  • Strategies
    • SAS
  • Company Highlights
  • Product Portfolio
  • Key Highlights
  • Financial Performance
  • Strategies
    • Microsoft Corporation
  • Company Highlights
  • Product Portfolio
  • Key Highlights
  • Financial Performance
  • Strategies
    • Accenture Plc.
  • Company Highlights
  • Product Portfolio
  • Key Highlights
  • Financial Performance
  • Strategies
    • H20.ai.
  • Company Highlights
  • Product Portfolio
  • Key Highlights
  • Financial Performance
  • Strategies
    • Baidu, Inc.
  • Company Highlights
  • Product Portfolio
  • Key Highlights
  • Financial Performance
  • Strategies
    • Oracle Corporation
  • Company Highlights
  • Product Portfolio
  • Key Highlights
  • Financial Performance
  • Strategies
  • Analyst Views

10. Section

  • References
  • Research Methodology
  • About us