2025-2029年全球油氣市場人工智慧(AI)與機器學習(ML)發展趨勢
市場調查報告書
商品編碼
1915598

2025-2029年全球油氣市場人工智慧(AI)與機器學習(ML)發展趨勢

Global AI And Ml In Oil And Gas Market 2025-2029

出版日期: | 出版商: TechNavio | 英文 281 Pages | 訂單完成後即時交付

價格
簡介目錄

全球石油天然氣產業的人工智慧 (AI) 和機器學習 (ML) 市場預計在 2024 年至 2029 年間將成長 59.126 億美元,預測期內複合年成長率 (CAGR) 為 15.1%。本報告對全球石油天然氣行業的 AI 和 ML 市場進行了全面分析,包括市場規模和預測、趨勢、成長要素和挑戰,以及對約 25 家公司的供應商分析。

本報告對當前市場狀況、最新市場趨勢和促進因素以及整體市場環境進行了最新分析。市場成長的促進因素包括:提高營運效率和降低成本的需求、日益重視環境、社會和管治(ESG) 合規性和安全性、巨量資料的普及以及雲端運算基礎設施的進步。

本研究採用客觀的方法,結合一手和二手訊息,包括來自主要行業相關人員的意見。報告包含全面的市場規模數據、區域細分分析、供應商格局以及對主要企業的分析。報告提供歷史數據和預測數據。

市場覆蓋範圍
基準年 2025
目標期 2029
預測期 2025-2029
成長勢頭 加速度
同比 12.5%
複合年成長率 15.1%
增量 59.126億美元

研究指出,生成式人工智慧和大規模語言模型在知識管理領域的興起,是未來幾年推動全球油氣產業人工智慧和機器學習市場成長的關鍵因素之一。此外,超自動化技術的興起、全自動駕駛技術的普及以及邊緣人工智慧在遠端環境中即時決策方面的廣泛應用,預計也將為市場帶來巨大的需求。

目錄

第1章執行摘要

第2章 Technavio 分析

  • 價格、生命週期、顧客購買籃、採用率和購買標準分析
  • 投入與差異化因素的重要性
  • 混淆來源
  • 促進因素和挑戰的影響

第3章 市場情勢

  • 市場生態系統
  • 市場特徵
  • 價值鏈分析

第4章 市場規模

  • 市場定義
  • 市場區隔分析
  • 2024年市場規模
  • 2024-2029年市場展望

第5章 市場規模表現

  • 2019-2023年全球油氣市場
  • 零件細分市場分析 2019-2023
  • 應用細分市場分析 2019-2023
  • 2019-2023年最終用戶細分市場分析
  • 2019-2023年區域細分市場分析
  • 2019-2023年國家細分市場分析

第6章五力分析

  • 五力分析概述
  • 買方的議價能力
  • 供應商的議價能力
  • 新進入者的威脅
  • 替代品的威脅
  • 競爭威脅
  • 市場狀況

7. 按組件進行市場細分

  • 比較:按組件
  • 解決方案
  • 服務
  • 按組件分類的市場機會

第8章 按應用進行市場細分

  • 比較:透過應用
  • 預測性維護
  • 生產最佳化
  • 供應鏈與物流
  • 探勘與鑽井
  • 其他
  • 按應用分類的市場機會

9. 按最終用戶進行市場區隔

  • 比較:按最終用戶
  • 下游
  • 上游
  • 中產階級
  • 按最終用戶分類的市場機會

第10章 客戶情況

第11章 區域情勢

  • 區域細分
  • 區域比較
  • 北美洲
    • 美國
    • 加拿大
  • 歐洲
    • 俄羅斯
    • 德國
    • 英國
    • 法國
  • 亞太地區
    • 中國
    • 印度
    • 日本
    • 韓國
    • 澳洲
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
  • 南美洲
    • 巴西
    • 阿根廷
  • 各區域的市場機遇

第12章:促進因素、挑戰與機遇

  • 市場促進因素
  • 市場挑戰
  • 促進因素和挑戰的影響
  • 市場機遇

第13章 競爭格局

  • 概述
  • 競爭格局
  • 令人困惑的局面
  • 產業風險

第14章 競爭分析

  • 公司簡介
  • 企業排名指數
  • 公司市場定位
  • ABB Ltd.
  • Accenture PLC
  • Baker Hughes Co.
  • BP Plc
  • C3.ai Inc.
  • Exxon Mobil Corp.
  • Google LLC
  • Halliburton Co.
  • IBM Corp.
  • Microsoft Corp.
  • Oracle Corp.
  • Saudi Arabian Oil Co.
  • Schlumberger Ltd.
  • Shell plc
  • Siemens AG

第15章附錄

簡介目錄
Product Code: IRTNTR80992

The global AI and ML in oil and gas market is forecasted to grow by USD 5912.6 mn during 2024-2029, accelerating at a CAGR of 15.1% during the forecast period. The report on the global AI and ML in oil and gas market provides a holistic analysis, market size and forecast, trends, growth drivers, and challenges, as well as vendor analysis covering around 25 vendors.

The report offers an up-to-date analysis regarding the current market scenario, the latest trends and drivers, and the overall market environment. The market is driven by imperative for enhanced operational efficiency and cost reduction, escalating focus on environmental, social, and governance (esg) compliance and safety, proliferation of big data and advancement of cloud computing infrastructure.

The study was conducted using an objective combination of primary and secondary information including inputs from key participants in the industry. The report contains a comprehensive market size data, segment with regional analysis and vendor landscape in addition to an analysis of the key companies. Reports have historic and forecast data.

Market Scope
Base Year2025
End Year2029
Series Year2025-2029
Growth MomentumAccelerate
YOY 202512.5%
CAGR15.1%
Incremental Value$5912.6 mn

Technavio's global AI and ML in oil and gas market is segmented as below:

By Component

  • Solutions
  • Services

By Application

  • Predictive maintenance
  • Production optimization
  • Supply chain and logistics
  • Exploration and drilling
  • Others

By End-User

  • Downstream
  • Upstream
  • Midstream

Geography

  • North America
    • US
    • Canada
  • Europe
    • Russia
    • Germany
    • UK
    • France
  • APAC
    • China
    • India
    • Japan
    • South Korea
    • Australia
  • Middle East and Africa
    • UAE
  • South America
    • Brazil
    • Argentina
  • Rest of World (ROW)

This study identifies the emergence of generative AI and large language models for knowledge management as one of the prime reasons driving the global AI and ML in oil and gas market growth during the next few years. Also, hyper-automation and progression towards fully autonomous operations and proliferation of edge AI for real-time decision making in remote environments will lead to sizable demand in the market.

The report on the global AI and ML in oil and gas market covers the following areas:

  • Global AI and ML in oil and gas market sizing
  • Global AI and ML in oil and gas market forecast
  • Global AI and ML in oil and gas market industry analysis

The robust vendor analysis is designed to help clients improve their market position, and in line with this, this report provides a detailed analysis of several leading global AI and ML in oil and gas market vendors that include ABB Ltd., Accenture PLC, Baker Hughes Co., Beyond Limits, BP Plc, C3.ai Inc., Exxon Mobil Corp., Google LLC, Halliburton Co., IBM Corp., Microsoft Corp., Oracle Corp., Saudi Arabian Oil Co., Schlumberger Ltd., SensorUp Inc., Shell plc, Siemens AG, SparkCognition Inc., TechnipFMC plc. Also, the global AI and ML in oil and gas market analysis report includes information on upcoming trends and challenges that will influence market growth. This is to help companies strategize and leverage all forthcoming growth opportunities.

The publisher presents a detailed picture of the market by the way of study, synthesis, and summation of data from multiple sources by an analysis of key parameters such as profit, pricing, competition, and promotions. It presents various market facets by identifying the key industry influencers. The data presented is comprehensive, reliable, and a result of extensive primary and secondary research. The market research reports provide a complete competitive landscape and an in-depth vendor selection methodology and analysis using qualitative and quantitative research to forecast accurate market growth.

Table of Contents

1 Executive Summary

  • 1.1 Market overview
    • Executive Summary - Chart on Market Overview
    • Executive Summary - Data Table on Market Overview
    • Executive Summary - Chart on Global Market Characteristics
    • Executive Summary - Chart on Market by Geography
    • Executive Summary - Chart on Market Segmentation by Component
    • Executive Summary - Chart on Market Segmentation by Application
    • Executive Summary - Chart on Market Segmentation by End-user
    • Executive Summary - Chart on Incremental Growth
    • Executive Summary - Data Table on Incremental Growth
    • Executive Summary - Chart on Company Market Positioning

2 Technavio Analysis

  • 2.1 Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
    • Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
  • 2.2 Criticality of inputs and Factors of differentiation
  • 2.3 Factors of disruption
  • 2.4 Impact of drivers and challenges

3 Market Landscape

  • 3.1 Market ecosystem
  • 3.2 Market characteristics
  • 3.3 Value chain analysis

4 Market Sizing

  • 4.1 Market definition
  • 4.2 Market segment analysis
    • Market segments
  • 4.3 Market size 2024
  • 4.4 Market outlook: Forecast for 2024-2029

5 Historic Market Size

  • 5.1 Global AI And ML In Oil And Gas Market 2019 - 2023
    • Historic Market Size - Data Table on Global AI And ML In Oil And Gas Market 2019 - 2023 ($ million)
  • 5.2 Component segment analysis 2019 - 2023
    • Historic Market Size - Component Segment 2019 - 2023 ($ million)
  • 5.3 Application segment analysis 2019 - 2023
    • Historic Market Size - Application Segment 2019 - 2023 ($ million)
  • 5.4 End-user segment analysis 2019 - 2023
    • Historic Market Size - End-user Segment 2019 - 2023 ($ million)
  • 5.5 Geography segment analysis 2019 - 2023
    • Historic Market Size - Geography Segment 2019 - 2023 ($ million)
  • 5.6 Country segment analysis 2019 - 2023
    • Historic Market Size - Country Segment 2019 - 2023 ($ million)

6 Five Forces Analysis

  • 6.1 Five forces summary
    • Five forces analysis - Comparison between 2024 and 2029
  • 6.2 Bargaining power of buyers
    • Bargaining power of buyers - Impact of key factors 2024 and 2029
  • 6.3 Bargaining power of suppliers
    • Bargaining power of suppliers - Impact of key factors in 2024 and 2029
  • 6.4 Threat of new entrants
    • Threat of new entrants - Impact of key factors in 2024 and 2029
  • 6.5 Threat of substitutes
    • Threat of substitutes - Impact of key factors in 2024 and 2029
  • 6.6 Threat of rivalry
    • Threat of rivalry - Impact of key factors in 2024 and 2029
  • 6.7 Market condition

7 Market Segmentation by Component

  • 7.1 Market segments
  • 7.2 Comparison by Component
  • 7.3 Solutions - Market size and forecast 2024-2029
  • 7.4 Services - Market size and forecast 2024-2029
  • 7.5 Market opportunity by Component
    • Market opportunity by Component ($ million)

8 Market Segmentation by Application

  • 8.1 Market segments
  • 8.2 Comparison by Application
  • 8.3 Predictive maintenance - Market size and forecast 2024-2029
  • 8.4 Production optimization - Market size and forecast 2024-2029
  • 8.5 Supply chain and logistics - Market size and forecast 2024-2029
  • 8.6 Exploration and drilling - Market size and forecast 2024-2029
  • 8.7 Others - Market size and forecast 2024-2029
  • 8.8 Market opportunity by Application
    • Market opportunity by Application ($ million)

9 Market Segmentation by End-user

  • 9.1 Market segments
  • 9.2 Comparison by End-user
  • 9.3 Downstream - Market size and forecast 2024-2029
  • 9.4 Upstream - Market size and forecast 2024-2029
  • 9.5 Midstream - Market size and forecast 2024-2029
  • 9.6 Market opportunity by End-user
    • Market opportunity by End-user ($ million)

10 Customer Landscape

  • 10.1 Customer landscape overview
    • Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria

11 Geographic Landscape

  • 11.1 Geographic segmentation
  • 11.2 Geographic comparison
  • 11.3 North America - Market size and forecast 2024-2029
    • 11.3.1 US - Market size and forecast 2024-2029
    • 11.3.2 Canada - Market size and forecast 2024-2029
  • 11.4 Europe - Market size and forecast 2024-2029
    • 11.4.1 Russia - Market size and forecast 2024-2029
    • 11.4.2 Germany - Market size and forecast 2024-2029
    • 11.4.3 UK - Market size and forecast 2024-2029
    • 11.4.4 France - Market size and forecast 2024-2029
  • 11.5 APAC - Market size and forecast 2024-2029
    • 11.5.1 China - Market size and forecast 2024-2029
    • 11.5.2 India - Market size and forecast 2024-2029
    • 11.5.3 Japan - Market size and forecast 2024-2029
    • 11.5.4 South Korea - Market size and forecast 2024-2029
    • 11.5.5 Australia - Market size and forecast 2024-2029
  • 11.6 Middle East and Africa - Market size and forecast 2024-2029
    • 11.6.1 Saudi Arabia - Market size and forecast 2024-2029
    • 11.6.2 UAE - Market size and forecast 2024-2029
  • 11.7 South America - Market size and forecast 2024-2029
    • 11.7.1 Brazil - Market size and forecast 2024-2029
    • 11.7.2 Argentina - Market size and forecast 2024-2029
  • 11.8 Market opportunity by geography
    • Market opportunity by geography ($ million)
    • Data Tables on Market opportunity by geography ($ million)

12 Drivers, Challenges, and Opportunity

  • 12.1 Market drivers
    • Imperative for enhanced operational efficiency and cost reduction
    • Escalating focus on environmental, social, and governance (ESG) compliance and safety
    • Proliferation of big data and advancement of cloud computing infrastructure
  • 12.2 Market challenges
    • Pervasive data management and integration issues
    • Significant upfront investment and ambiguous return on investment
    • Critical talent shortage and organizational change management
  • 12.3 Impact of drivers and challenges
    • Impact of drivers and challenges in 2024 and 2029
  • 12.4 Market opportunities
    • Emergence of generative AI and large language models for knowledge management
    • Hyper-automation and progression towards fully autonomous operations
    • Proliferation of edge AI for real-time decision making in remote environments

13 Competitive Landscape

  • 13.1 Overview
  • 13.2 Competitive Landscape
    • Overview on criticality of inputs and factors of differentiation
  • 13.3 Landscape disruption
    • Overview on factors of disruption
  • 13.4 Industry risks
    • Impact of key risks on business

14 Competitive Analysis

  • 14.1 Companies profiled
    • Companies covered
  • 14.2 Company ranking index
    • Company ranking index
  • 14.3 Market positioning of companies
    • Matrix on companies position and classification
  • 14.4 ABB Ltd.
    • ABB Ltd. - Overview
    • ABB Ltd. - Business segments
    • ABB Ltd. - Key news
    • ABB Ltd. - Key offerings
    • ABB Ltd. - Segment focus
    • SWOT
  • 14.5 Accenture PLC
    • Accenture PLC - Overview
    • Accenture PLC - Business segments
    • Accenture PLC - Key news
    • Accenture PLC - Key offerings
    • Accenture PLC - Segment focus
    • SWOT
  • 14.6 Baker Hughes Co.
    • Baker Hughes Co. - Overview
    • Baker Hughes Co. - Business segments
    • Baker Hughes Co. - Key news
    • Baker Hughes Co. - Key offerings
    • Baker Hughes Co. - Segment focus
    • SWOT
  • 14.7 BP Plc
    • BP Plc - Overview
    • BP Plc - Business segments
    • BP Plc - Key news
    • BP Plc - Key offerings
    • BP Plc - Segment focus
    • SWOT
  • 14.8 C3.ai Inc.
    • C3.ai Inc. - Overview
    • C3.ai Inc. - Product / Service
    • C3.ai Inc. - Key news
    • C3.ai Inc. - Key offerings
    • SWOT
  • 14.9 Exxon Mobil Corp.
    • Exxon Mobil Corp. - Overview
    • Exxon Mobil Corp. - Business segments
    • Exxon Mobil Corp. - Key news
    • Exxon Mobil Corp. - Key offerings
    • Exxon Mobil Corp. - Segment focus
    • SWOT
  • 14.10 Google LLC
    • Google LLC - Overview
    • Google LLC - Product / Service
    • Google LLC - Key offerings
    • SWOT
  • 14.11 Halliburton Co.
    • Halliburton Co. - Overview
    • Halliburton Co. - Business segments
    • Halliburton Co. - Key news
    • Halliburton Co. - Key offerings
    • Halliburton Co. - Segment focus
    • SWOT
  • 14.12 IBM Corp.
    • IBM Corp. - Overview
    • IBM Corp. - Business segments
    • IBM Corp. - Key news
    • IBM Corp. - Key offerings
    • IBM Corp. - Segment focus
    • SWOT
  • 14.13 Microsoft Corp.
    • Microsoft Corp. - Overview
    • Microsoft Corp. - Business segments
    • Microsoft Corp. - Key news
    • Microsoft Corp. - Key offerings
    • Microsoft Corp. - Segment focus
    • SWOT
  • 14.14 Oracle Corp.
    • Oracle Corp. - Overview
    • Oracle Corp. - Business segments
    • Oracle Corp. - Key news
    • Oracle Corp. - Key offerings
    • Oracle Corp. - Segment focus
    • SWOT
  • 14.15 Saudi Arabian Oil Co.
    • Saudi Arabian Oil Co. - Overview
    • Saudi Arabian Oil Co. - Product / Service
    • Saudi Arabian Oil Co. - Key offerings
    • SWOT
  • 14.16 Schlumberger Ltd.
    • Schlumberger Ltd. - Overview
    • Schlumberger Ltd. - Business segments
    • Schlumberger Ltd. - Key news
    • Schlumberger Ltd. - Key offerings
    • Schlumberger Ltd. - Segment focus
    • SWOT
  • 14.17 Shell plc
    • Shell plc - Overview
    • Shell plc - Business segments
    • Shell plc - Key news
    • Shell plc - Key offerings
    • Shell plc - Segment focus
    • SWOT
  • 14.18 Siemens AG
    • Siemens AG - Overview
    • Siemens AG - Business segments
    • Siemens AG - Key news
    • Siemens AG - Key offerings
    • Siemens AG - Segment focus
    • SWOT

15 Appendix

  • 15.1 Scope of the report
    • Market definition
    • Objectives
    • Notes and caveats
  • 15.2 Inclusions and exclusions checklist
    • Inclusions checklist
    • Exclusions checklist
  • 15.3 Currency conversion rates for US$
    • Currency conversion rates for US$
  • 15.4 Research methodology
    • Research methodology
  • 15.5 Data procurement
    • Information sources
  • 15.6 Data validation
    • Data validation
  • 15.7 Validation techniques employed for market sizing
    • Validation techniques employed for market sizing
  • 15.8 Data synthesis
    • Data synthesis
  • 15.9 360 degree market analysis
    • 360 degree market analysis
  • 15.10 List of abbreviations
    • List of abbreviations