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市場調查報告書
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1574133

石油和天然氣領域的人工智慧 (AI) 市場 – 2024 年至 2029 年預測

Artificial Intelligence (AI) in Oil And Gas Market - Forecasts from 2024 to 2029

出版日期: | 出版商: Knowledge Sourcing Intelligence | 英文 135 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

石油和天然氣領域的人工智慧 (AI) 市場規模預計將從 2024 年的 53.05 億美元增至 2029 年的 150.1 億美元,預測期內複合年成長率為 23.12%。

石油和天然氣產業是全球經濟中最重要的部門之一,在該產業中實施人工智慧可以解決各個業務流程的重大挑戰。從維護安全到重新定位開採過程,這些人工智慧解決方案可以改變石油鑽井作業的運作方式,減少人為風險因素的空間,並提高活動的生產力。

人工智慧在石油和天然氣行業的使用可以幫助識別、提取和預測新的和蘊藏量。它還有助於開發和增強工具和設備軟體,例如自動鑽井機操作軟體,自動化原油生產和提取設置,並為工業公司提供現場和場外服務。隨著人工智慧 (AI) 在過去十年中開始在石油和天然氣領域實施,該市場正處於商業週期的擴張階段,預計未來幾年 (AI) 市場擴張將出現多個成長機會。

石油和天然氣市場的促進因素:

  • 石油和天然氣行業產生的大量資料預計將增加全球對人工智慧的需求。

石油和天然氣行業以產生大量資料而聞名。因此,資料常常無法充分分析,而可能使公司和整個產業受益的有價值的見解和推導卻遺失了。因此,可以使用人工智慧處理和分析透過各種方法從公司內部各個部門獲得的資料。人工智慧支援的決策可以透過石油和天然氣產業組織層面的資料分析來做出。

例如,殼牌提供的人工智慧應用可以從現場收集資料,以預測侵蝕和劣化並防止洩漏。因此,您可以使用歷史和當前資料來預測未來趨勢並執行適合當前時限的最佳操作。人工智慧還可以幫助您立即應對安全隱患和環境影響,避免事故,並防止違規行為。

石油和天然氣領域人工智慧 (AI) 的地理景觀:

  • 北美地區預計將在石油和天然氣領域的人工智慧市場中佔據很大佔有率。

美國等北美國家擁有多家提供基於人工智慧的解決方案和創新的軟體和技術公司,這有助於滿足石油和天然氣行業對更高效的人工智慧解決方案的需求。因此,全球各大石油燃氣公司在加速對人工智慧的投資。這些石油和天然氣開採公司由許多北美人工智慧解決方案供應商提供服務。

北美石油和天然氣領域人工智慧 (AI) 領域的著名公司包括 C3 AI、IBM Microsoft 和 Google LLC。這些公司正在與著名的石油和燃氣公司合作,將數位化和人工智慧引入業務中。他們的人工智慧技術不斷發展,為客戶提供更高品質的輸出,同時繼續改進他們的產品、服務和產品組合。北美市場對石油和天然氣的需求預計將大幅增加,這可能會在預測期內影響這些行業的全球人工智慧市場。

為什麼要購買這份報告?

  • 富有洞察力的分析:獲得涵蓋關鍵和新興地區的深入市場洞察,重點關注客戶細分、政府政策和社會經濟因素、消費者偏好、行業部門和其他子區隔。
  • 競爭格局:了解世界主要企業採取的策略策略,並了解透過正確的策略滲透市場的潛力。
  • 市場促進因素和未來趨勢:探索動態因素和關鍵市場趨勢以及它們將如何塑造未來市場發展。
  • 可行的建議:利用洞察力做出策略決策,以在動態環境中發現新的業務流和收益。
  • 面向廣大受眾:對於新興企業、研究機構、顧問、中小型企業和大型企業有用且具有成本效益。

公司使用我們的報告的目的是什麼?

產業和市場考量、機會評估、產品需求預測、打入市場策略、地理擴張、資本投資決策、法律規範與影響、新產品開發、競爭影響

調查範圍

  • 2022年至2029年歷史資料與預測
  • 成長機會、挑戰、供應鏈前景、法規結構、顧客行為、趨勢分析
  • 競爭對手的市場狀況、策略與市場佔有率分析
  • 包括國家在內的細分市場和地區的收益成長和預測評估
  • 公司簡介(策略、產品、財務資訊、主要動態等)

目錄

第1章簡介

  • 市場概況
  • 市場定義
  • 調查範圍
  • 市場區隔
  • 貨幣
  • 先決條件
  • 基準年和預測年時間表
  • 相關人員的主要利益

第2章調查方法

  • 研究設計
  • 調查過程

第3章執行摘要

  • 主要發現

第4章市場動態

  • 市場促進因素
  • 市場限制因素
  • 波特五力分析
  • 產業價值鏈分析
  • 分析師觀點

第5章石油和天然氣領域的人工智慧(AI)市場:按營運分類

  • 介紹
  • 上游
  • 中產階級
  • 下游

第6章 石油和天然氣領域的人工智慧 (AI) 市場:按應用分類

  • 介紹
  • 表面分析
  • 缺陷檢測
  • 鑽孔和精加工
  • 收集及運輸
  • 加工/精製維護
  • 其他

第7章 石油和天然氣領域的人工智慧(AI)市場:按地區

  • 介紹
  • 北美洲
    • 按操作
    • 按用途
    • 按國家/地區
  • 南美洲
    • 按操作
    • 按用途
    • 按國家/地區
  • 歐洲
    • 按操作
    • 按用途
    • 按國家/地區
  • 中東/非洲
    • 按操作
    • 按用途
    • 按國家/地區
  • 亞太地區
    • 按操作
    • 按用途
    • 按國家/地區

第8章競爭環境及分析

  • 主要企業及策略分析
  • 市場佔有率分析
  • 合併、收購、協議和合作
  • 競爭對手儀表板

第9章 公司簡介

  • Microsoft Corporation
  • IBM Corporation
  • C3.ai, Inc
  • DataRobot, Inc
  • Aspen Technology Inc
  • Intel Corporation
  • FuGenX Technologies
  • Stem Inc.
  • Google LLC
簡介目錄
Product Code: KSI061614410

The AI in the oil and gas market is projected to witness a CAGR of 23.12% during the forecast period to reach a total market size of US$15.010 billion by 2029, up from US$5.305 billion in 2024.

The oil and gas industry is one of the most vital sectors in the global economy, and implementing AI in this business can eliminate major challenges in different operations processes. From maintaining safety to relocating the extraction process, these AI solutions can change how oil drilling operates to leave less scope for human risk factors and improve the activity's production.

The utilization of AI in the oil and gas industry helps in locating, extracting, and forecasting new or current reserves. It also aids in developing and enhancing tools and equipment software, such as automated drilling machine operation software, as well as the automation of crude oil production and extraction setup, along with on-field and off-field services provided by industrial companies. Since the adoption of AI in the oil and gas sector began in the last decade, this market is in its expansion phase of the business cycle with several growth opportunities ahead, which will encourage AI in the oil and gas market expansion over the forecast period.

AI IN OIL AND GAS MARKET DRIVERS:

  • Vast data produced by the oil and gas industry are expected to increase the demand for AI worldwide.

The oil and gas industry is known for producing huge volumes of data. Frequently, the data is not fully analyzed, thus losing potentially valuable insights or derivations that could benefit a company and the entire industry. Therefore, data obtained using different techniques from different company departments can be processed and analyzed using AI. AI-supported decision-making can be done through analyses of data at each of the organizational levels in the oil and gas sector.

For example, Shell Company provides an AI application that collects data from sites to forecast erosion and deterioration and prevent leaks. Therefore, past and current data can be used to anticipate trends for the future and optimize operations for the present timeframe. AI can also assist in providing immediate responses to safety hazards and environmental impacts, avoid accidents, and protect against non-compliance with regulations.

AI in Oil and Gas Market Geographical Outlook:

  • The North American region is expected to hold a substantial AI in oil and gas market share.

North American countries like the United States have multiple software and technology companies providing AI-based solutions and innovations, which will contribute to the demand for more productive and efficient AI solutions in the oil and gas sector. This, in turn, has spurred investment into AI for leading Oil and Gas companies worldwide. These oil and gas extracting companies are served by many AI solution-providing companies based out of North America.

Notable companies in AI in the oil & gas industry across North America are C3 AI, IBM Microsoft, and Google LLC. These firms partner with prominent oil and gas organizations to implement digitalization and AI in their operations. Their AI technology constantly evolves to produce higher-quality outputs for their client companies as they continue improving their product and service portfolio. The North American market is anticipated to experience a significant increase in demand for oil and gas, which will impact the global AI market in these industries during the forecast period.

Reasons for buying this report:-

  • Insightful Analysis: Gain detailed market insights covering major as well as emerging geographical regions, focusing on customer segments, government policies and socio-economic factors, consumer preferences, industry verticals, other sub- segments.
  • Competitive Landscape: Understand the strategic maneuvers employed by key players globally to understand possible market penetration with the correct strategy.
  • Market Drivers & Future Trends: Explore the dynamic factors and pivotal market trends and how they will shape up future market developments.
  • Actionable Recommendations: Utilize the insights to exercise strategic decision to uncover new business streams and revenues in a dynamic environment.
  • Caters to a Wide Audience: Beneficial and cost-effective for startups, research institutions, consultants, SMEs, and large enterprises.

What do businesses use our reports for?

Industry and Market Insights, Opportunity Assessment, Product Demand Forecasting, Market Entry Strategy, Geographical Expansion, Capital Investment Decisions, Regulatory Framework & Implications, New Product Development, Competitive Intelligence

Report Coverage:

  • Historical data & forecasts from 2022 to 2029
  • Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, Customer Behaviour, and Trend Analysis
  • Competitive Positioning, Strategies, and Market Share Analysis
  • Revenue Growth and Forecast Assessment of segments and regions including countries
  • Company Profiling (Strategies, Products, Financial Information, and Key Developments among others)

Market Segmentation:

The AI in Oil and Gas Market is segmented and analyzed as below:

By Operation

  • Upstream
  • Midstream
  • Downstream

By Application

  • Surface Analysis
  • Defect Detection
  • Drilling and Completions
  • Gathering and Transportation
  • Processing and Refining Maintenance
  • Others

By Geography

  • North America
  • USA
  • Canada
  • Mexico
  • South America
  • Brazil
  • Argentina
  • Others
  • Europe
  • United Kingdom
  • Germany
  • France
  • Spain
  • Others
  • Middle East and Africa
  • Saudi Arabia
  • UAE
  • South Africa
  • Others
  • Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Indonesia
  • Taiwan
  • Others

TABLE OF CONTENTS

1. INTRODUCTION

  • 1.1. Market Overview
  • 1.2. Market Definition
  • 1.3. Scope of the Study
  • 1.4. Market Segmentation
  • 1.5. Currency
  • 1.6. Assumptions
  • 1.7. Base and Forecast Years Timeline
  • 1.8. Key benefits for the stakeholders

2. RESEARCH METHODOLOGY

  • 2.1. Research Design
  • 2.2. Research Process

3. EXECUTIVE SUMMARY

  • 3.1. Key Findings

4. MARKET DYNAMICS

  • 4.1. Market Drivers
  • 4.2. Market Restraints
  • 4.3. Porter's Five Forces Analysis
    • 4.3.1. Bargaining Power of Suppliers
    • 4.3.2. Bargaining Power of Buyers
    • 4.3.3. Threat of New Entrants
    • 4.3.4. Threat of Substitutes
    • 4.3.5. Competitive Rivalry in the Industry
  • 4.4. Industry Value Chain Analysis
  • 4.5. Analyst View

5. AI IN OIL AND GAS MARKET BY OPERATION

  • 5.1. Introduction
  • 5.2. Upstream
  • 5.3. Midstream
  • 5.4. Downstream

6. AI IN OIL AND GAS MARKET BY APPLICATION

  • 6.1. Introduction
  • 6.2. Surface Analysis
  • 6.3. Defect Detection
  • 6.4. Drilling and Completions
  • 6.5. Gathering and Transportation
  • 6.6. Processing and Refining Maintenance
  • 6.7. Others

7. AI IN OIL AND GAS MARKET BY GEOGRAPHY

  • 7.1. Introduction
  • 7.2. North America
    • 7.2.1. By Operation
    • 7.2.2. By Application
    • 7.2.3. By Country
      • 7.2.3.1. USA
      • 7.2.3.2. Canada
      • 7.2.3.3. Mexico
  • 7.3. South America
    • 7.3.1. By Operation
    • 7.3.2. By Application
    • 7.3.3. By Country
      • 7.3.3.1. Brazil
      • 7.3.3.2. Argentina
      • 7.3.3.3. Others
  • 7.4. Europe
    • 7.4.1. By Operation
    • 7.4.2. By Application
    • 7.4.3. By Country
      • 7.4.3.1. United Kingdom
      • 7.4.3.2. Germany
      • 7.4.3.3. France
      • 7.4.3.4. Spain
      • 7.4.3.5. Others
  • 7.5. Middle East and Africa
    • 7.5.1. By Operation
    • 7.5.2. By Application
    • 7.5.3. By Country
      • 7.5.3.1. Saudi Arabia
      • 7.5.3.2. UAE
      • 7.5.3.3. South Africa
      • 7.5.3.4. Others
  • 7.6. Asia Pacific
    • 7.6.1. By Operation
    • 7.6.2. By Application
    • 7.6.3. By Country
      • 7.6.3.1. China
      • 7.6.3.2. Japan
      • 7.6.3.3. India
      • 7.6.3.4. South Korea
      • 7.6.3.5. Indonesia
      • 7.6.3.6. Taiwan
      • 7.6.3.7. Others

8. COMPETITIVE ENVIRONMENT AND ANALYSIS

  • 8.1. Major Players and Strategy Analysis
  • 8.2. Market Share Analysis
  • 8.3. Mergers, Acquisitions, Agreements, and Collaborations
  • 8.4. Competitive Dashboard

9. COMPANY PROFILES

  • 9.1. Microsoft Corporation
  • 9.2. IBM Corporation
  • 9.3. C3.ai, Inc
  • 9.4. DataRobot, Inc
  • 9.5. Aspen Technology Inc
  • 9.6. Intel Corporation
  • 9.7. FuGenX Technologies
  • 9.8. Stem Inc.
  • 9.9. Google LLC