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市場調查報告書
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1449616

石油和天然氣領域的人工智慧 (AI) 市場:按應用、按組件、按產品、按地區

Artificial Intelligence in Oil and Gas Market, By Application (Energy Storage Systems, Industrial Applications), 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

2023年,石油和天然氣領域的人工智慧(AI)市場規模估值為29.9億美元,2024年至2031年年複合成長率為12.5%,預計到2031年將達到76.5億美元。人工智慧(AI)在石油和天然氣產業中發揮越來越重要的作用。

報告範圍 報告詳情
基準年 2023年 2023/2024年市場規模 29.9億美元
實際資料 2019-2023 預測期 2024-2031
預測期2023/2024~2030/2031年複合成長率: 12.50% 2030/2031 年預測值 76.5億美元
圖 1. 2024 年按地區分類的石油和天然氣領域人工智慧 (AI)市場佔有率(%)
石油和天然氣市場中的人工智慧-IMG1

人工智慧 (AI) 正在透過自動化日常任務和增強人類決策來徹底改變每個主要產業。石油和天然氣產業也利用人工智慧解決方案進行各種上下游業務,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的探勘和生產資料中獲得深刻的見解,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以預測設備故障並建議規範性維護操作。人工智慧的先進分析能力使石油和天然氣公司能夠做出明智的業務決策,發現新的蘊藏量,並更有效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) 價值鏈對於這趟旅程至關重要。

市場動態:

石油和天然氣領域的人工智慧 (AI) 市場是由最佳化營運和維護活動的需求所驅動的。全球能源需求的增加和傳統型蘊藏量的枯竭正在推動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,高昂的初始投資和缺乏熟練勞動力為人工智慧解決方案的廣泛採用帶來了挑戰。從積極的一面來看,即時供應鏈最佳化和 COVID-19 大流行期間遠端操作的重要性日益增加,正在為人工智慧供應商創造新的商機。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。

本研究的主要特點

  • 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,並列出了以2023年為基準年的預測期(2024-2031)的市場規模和年複合成長率。
  • 它還說明了各個細分市場的潛在商機,並為該市場提供了一系列有吸引力的投資提案。
  • 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、主要企業採取的競爭策略等的重要見解。
  • 它根據公司亮點、產品系列、主要亮點、財務業績和策略等參數,對石油和天然氣市場人工智慧 (AI)的主要企業進行了介紹。
  • 該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、升級、市場擴張和行銷策略做出明智的決策。
  • 石油和天然氣中的人工智慧 (AI) 市場報告迎合了該行業的各個相關人員,如投資者、供應商、產品製造商、經銷商、新進業者和財務分析師。
  • 透過用於分析石油和天然氣市場人工智慧(AI)的各種策略矩陣,將有助於相關人員做出決策。

目錄

第1章 研究目的與前提

  • 研究目標
  • 先決條件
  • 簡稱

第2章 市場概況

  • 報告說明
    • 市場定義和範圍
  • 執行摘要
  • Coherent Opportunity Map(COM)

第3章 市場動態、法規與趨勢分析

  • 市場動態
  • 石油和天然氣公司的數位轉型努力
  • 需要提高安全性並降低風險
  • 初期成本高
  • 缺乏熟練的人工智慧人才
  • 更多採用人工智慧進行預測性維護
  • 與人工智慧整合開發智慧管道和智慧井。
  • 主要亮點
  • 監管場景
  • 最近的趨勢
  • 產品發布/核准
  • PEST分析
  • 波特的分析
  • 合併、收購和合作

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

  • 新型冠狀病毒感染疾病(COVID-19)的流行病學
  • 供需面分析
  • 經濟影響

第5章 石油與天然氣領域人工智慧 (AI) 市場(按應用),2019-2031 年

  • 能源儲存系統(ESS)
  • 工業用途

第6章 2019-2031 年石油和天然氣領域人工智慧 (AI) 市場(按組成部分)

  • 可再生能源
  • 公共工程
  • 製造業

第 7 章 石油和天然氣領域的人工智慧 (AI) 市場(按產品),2019-2031 年

  • 直銷
  • 代理銷售

第8章 2019-2031 年石油和天然氣產業人工智慧 (AI) 市場(按地區)

  • 北美洲
  • 美國
  • 加拿大
  • 歐洲
  • 德國
  • 英國
  • 西班牙
  • 法國
  • 義大利
  • 俄羅斯
  • 其他歐洲國家
  • 亞太地區
  • 中國
  • 印度
  • 日本
  • 韓國
  • ASEAN
  • 其他亞太地區
  • 拉丁美洲
  • 巴西
  • 阿根廷
  • 墨西哥
  • 其他拉丁美洲
  • 中東和非洲
  • 海灣合作理事會國家
  • 以色列
  • 南非
  • 北非
  • 中部非洲
  • 其他中東地區

第9章 競爭格局

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

第10章

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

The Artificial Intelligence (AI) in Oil and Gas Market size was valued at US$ 2.99 Billion in 2023 and is expected to reach US$ 7.65 Billion by 2031, growing at a compound annual growth rate (CAGR) of 12.5% from 2024 to 2031. Artificial Intelligence (AI) is playing an increasingly important role in the oil and gas industry.

Report Coverage Report Details
Base Year: 2023 Market Size in 2023/2024: US$ 2.99 Bn
Historical Data for: 2019 to 2023 Forecast Period: 2024 - 2031
Forecast Period 2023/2024 to 2030/2031 CAGR: 12.50% 2030/2031 Value Projection: US$ 7.65 Bn
Figure 1. Artificial Intelligence (AI) in Oil and Gas Market Share (%), By Region, 2024
Artificial Intelligence 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 (2024-2031), considering 2023 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
  • Top Companies in the Artificial Intelligence (AI) in Oil and Gas Market, Market:
    • 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, 2019-2031, (US$ Bn)

  • Introduction
    • Market Share Analysis, 2024 and 2031 (%)
    • Y-o-Y Growth Analysis, 2019 - 2031
    • Segment Trends
  • Energy Storage Systems (ESS)
    • Introduction
    • Market Size and Forecast, and Y-o-Y Growth, 20242031, (US$ Bn)
  • Industrial Applications
    • Introduction
    • Market Size and Forecast, and Y-o-Y Growth, 2024-2031,(US$ Bn)

6. Artificial Intelligence (AI) in Oil and Gas Market, By Component, 2019-2031, (US$ Bn)

  • Introduction
    • Market Share Analysis, 2024 and 2031 (%)
    • Y-o-Y Growth Analysis, 2019 - 2031
    • Segment Trends
  • Renewable Energy
    • Introduction
    • Market Size and Forecast, and Y-o-Y Growth, 2024-2031, (US$ Bn)
  • Utilities
    • Introduction
    • Market Size and Forecast, and Y-o-Y Growth, 2024-2031, (US$ Bn)
  • Manufacturing
    • Introduction
    • Market Size and Forecast, and Y-o-Y Growth, 2024-2031, (US$ Bn)

7. Artificial Intelligence (AI) in Oil and Gas Market, By Product, 2019-2031,(US$ Bn)

  • Introduction
    • Market Share Analysis, 2024 and 2031 (%)
    • Y-o-Y Growth Analysis, 2019 - 2031
    • Segment Trends
  • Direct Sales
    • Introduction
    • Market Size and Forecast, and Y-o-Y Growth, 2024-2031, (US$ Bn)
  • Distributors
    • Introduction
    • Market Size and Forecast, and Y-o-Y Growth, 2024-2031, (US$ Bn)

8. Artificial Intelligence (AI) in Oil and Gas Market, By Region, 2019-2031, (US$ Bn)

  • Introduction
    • Market Share Analysis, By Sub-region, 2024 and 2031 (%)
    • Y-o-Y Growth Analysis, For Sub-region, 2024 -2031
    • Country Trends
  • North America
    • Introduction
    • Market Size and Forecast, and Y-o-Y Growth, By Application, 2024-2031, (US$ Bn)
    • Market Size and Forecast, and Y-o-Y Growth, By Component, 2024-2031, (US$ Bn)
    • Market Size and Forecast, and Y-o-Y Growth, By Product, 2024-2031, (US$ Bn)
    • Market Size and Forecast, and Y-o-Y Growth, By Country, 2024-2031, (US$ Bn)
  • U.S.
  • Canada
  • Europe
    • Introduction
    • Market Size and Forecast, and Y-o-Y Growth, By Application, 2024-2031,(US$ Bn)
    • Market Size and Forecast, and Y-o-Y Growth, By Component, 2024-2031, (US$ Bn)
    • Market Size and Forecast, and Y-o-Y Growth, By Product, 2024-2031, (US$ Bn)
    • Market Size and Forecast, and Y-o-Y Growth, By Country, 2024-2031, (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, 2024-2031,(US$ Bn)
    • Market Size and Forecast, and Y-o-Y Growth, By Component, 2024-2031, (US$ Bn)
    • Market Size and Forecast, and Y-o-Y Growth, By Product, 2024-2031, (US$ Bn)
    • Market Size and Forecast, and Y-o-Y Growth, By Country, 2023-2031, (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, 2024-2031,(US$ Bn)
    • Market Size and Forecast, and Y-o-Y Growth, By Component, 2024-2031, (US$ Bn)
    • Market Size and Forecast, and Y-o-Y Growth, By Product, 2024-2031, (US$ Bn)
    • Market Size and Forecast, and Y-o-Y Growth, By Country, 2024-2031, (US$ Bn)
  • Brazil
  • Argentina
  • Mexico
  • Rest of Latin America
  • Middle East & Africa
    • Introduction
    • Market Size and Forecast, and Y-o-Y Growth, By Application, 2024-2031,(US$ Bn)
    • Market Size and Forecast, and Y-o-Y Growth, By Component, 2024-2031, (US$ Bn)
    • Market Size and Forecast, and Y-o-Y Growth, By Product, 2024-2031, (US$ Bn)
    • Market Size and Forecast, and Y-o-Y Growth, By Country/Sub-region, 2024-2031, (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