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石化燃料人工智能

市場調查報告書

商品編碼

1489182

全球石油和天然氣人工智慧市場研究報告 - 2024 年至 2032 年行業分析、規模、佔有率、成長、趨勢和預測

Global AI in Oil and Gas Market Research Report - Industry Analysis, Size, Share, Growth, Trends and Forecast 2024 to 2032

出版日期: 2024年05月01日 | 出版商:

Value Market Research | 英文 130 Pages | 商品交期: 最快1-2個工作天內

價格

簡介目錄圖表

全球石油和天然氣市場對人工智慧的需求預計將從 2023 年的 30.9 億美元達到近 93.2 億美元的市場規模，2024-2032 年研究期間複合年成長率為 13.05%。

油氣人工智慧是指應用人工智慧（AI）技術來提高油氣資源探勘、生產和分配的效率、安全性和生產力。人工智慧驅動的解決方案可實現預測性維護、油藏建模和即時資料分析，最佳化決策流程並降低營運成本。透過利用機器學習演算法和資料分析，人工智慧系統可以識別模式、檢測異常並最佳化鑽井和開採過程，從而提高石油和天然氣行業的資源回收率和環境永續性。

市場動態

石油和天然氣營運的複雜性和規模不斷增加，加上降低成本、提高效率和降低風險的需求，促使採用人工智慧技術來最佳化流程和決策。人工智慧驅動的解決方案可實現預測性維護、油藏建模和即時資料分析，從而提高整個價值鏈的營運績效和資產完整性。此外，人工智慧演算法、機器學習技術和巨量資料分析的進步從感測器、設備和生產設施產生的大量資料中釋放出可操作的見解，推動人工智慧在石油和天然氣市場的成長。

此外，對數位轉型和工業 4.0 計畫的日益關注加速了人工智慧在石油和天然氣領域的採用，促進了該產業的創新和競爭力。此外，監管壓力、環境問題以及石油和天然氣市場波動中的人工智慧推動了對永續實踐和減排策略的需求，進一步推動了對人工智慧驅動的能源效率和環境管理解決方案的需求。然而，網路安全威脅、資料隱私問題以及傳統石油和天然氣業務中採用人工智慧的潛在阻力可能會在未來幾年對石油和天然氣市場成長的人工智慧構成挑戰。

研究報告涵蓋波特五力模型、市場吸引力分析和價值鏈分析。這些工具有助於清晰地了解行業結構並評估全球範圍內的競爭吸引力。此外，這些工具也對全球石油和天然氣人工智慧市場的各個細分市場進行了包容性評估。石油和天然氣行業人工智慧的成長和趨勢為本研究提供了整體方法。

市場區隔

石油和天然氣市場人工智慧報告的這一部分提供了國家和區域層面的細分資料，從而幫助戰略家確定相應產品或服務的目標人口統計數據以及即將到來的機會。

按功能分類

開墾
物質運動
計劃生產
品質管制
維護
其他

按操作

上游
中游
下游

區域分析

本節涵蓋區域展望，重點介紹北美、歐洲、亞太地區、拉丁美洲以及中東和非洲地區石油和天然氣市場人工智慧當前和未來的需求。此外，該報告重點關注所有主要地區各個應用領域的需求、估計和預測。

該研究報告還涵蓋了市場主要參與者的全面概況以及對全球競爭格局的深入了解。石油和天然氣市場人工智慧的主要參與者包括埃森哲、Google、微軟、甲骨文、IBM、英特爾、英偉達。本節包含競爭格局的整體視圖，包括各種策略發展，例如關鍵併購、未來產能、合作夥伴關係、財務概況、合作、新產品開發、新產品發布和其他發展。

如果您有任何客製化要求，請寫信給我們。我們的研究團隊可以根據您的需求提供客製化報告。

區域展望
介紹
北美銷售分析
- 概覽、歷史與預測資料銷售分析
- 北美按細分市場銷售分析
- 北美按國家銷售分析
- 美國銷售分析
- 加拿大銷售分析
- 墨西哥銷售分析
歐洲銷售分析
- 概覽、歷史與預測資料銷售分析
- 歐洲按細分市場銷售分析
- 歐洲按國家銷售分析
- 英國銷售分析
- 法國銷售分析
- 德國銷售分析
- 義大利銷售分析
- 俄羅斯銷售分析
- 歐洲其他地區銷售分析
亞太地區銷售分析
- 概覽、歷史與預測資料銷售分析
- 亞太地區按細分市場銷售分析
- 亞太地區按國家銷售分析
- 中國銷售分析
- 印度銷售分析
- 日本銷售分析
- 韓國銷售分析
- 澳洲銷售分析
- 東南亞銷售分析
- 亞太地區其他地區銷售分析
拉丁美洲銷售分析
- 概覽、歷史與預測資料銷售分析
- 拉丁美洲按細分市場銷售分析
- 拉丁美洲按國家銷售分析
- 巴西銷售分析
- 阿根廷銷售分析
- 秘魯銷售分析
- 智利銷售分析
- 拉丁美洲其他地區銷售分析
中東和非洲銷售分析
- 概覽、歷史與預測資料銷售分析
- 中東和非洲按細分市場銷售分析
- 中東和非洲按國家銷售分析
- 沙烏地阿拉伯銷售分析
- 阿拉伯聯合大公國銷售分析
- 以色列銷售分析
- 南非銷售分析
- 中東其他地區和非洲銷售分析

第 8 章：石油和天然氣公司中人工智慧的競爭格局

人工智慧在石油和天然氣市場競爭中的應用
夥伴關係/協作/協議
併購
新產品發布
其他發展

第 9 章：公司簡介

頂級公司市佔率分析
市場集中度
Accenture

公司簡介
公司收入
產品
最近的發展

Google LLC

公司簡介
公司收入
產品
最近的發展

Microsoft Corporation

公司簡介
公司收入
產品
最近的發展

Oracle

公司簡介
公司收入
產品
最近的發展

公司簡介
公司收入
產品
最近的發展

Intel Corporation

公司簡介
公司收入
產品
最近的發展

Nvidia Corporation

公司簡介
公司收入
產品
最近的發展

註 - 在公司概況中，財務詳細資料和最新進展視情況而定，或對私人公司而言可能不包括在內

簡介目錄圖表

Product Code: VMR112114577

The global demand for AI in Oil and Gas Market is presumed to reach the market size of nearly USD 9.32 Billion by 2032 from USD 3.09 Billion in 2023 with a CAGR of 13.05% under the study period 2024-2032.

AI in oil and gas refers to applying artificial intelligence (AI) technologies to enhance efficiency, safety, and productivity in the exploration, production, and distribution of oil and gas resources. AI-powered solutions enable predictive maintenance, reservoir modeling, and real-time data analysis, optimizing decision-making processes and reducing operational costs. By leveraging machine learning algorithms & data analytics, AI systems can identify patterns, detect anomalies, and optimize drilling and extraction processes, leading to improved resource recovery and environmental sustainability in the oil & gas industry.

MARKET DYNAMICS

The increasing complexity and scale of oil and gas operations, coupled with the need for cost reduction, efficiency improvements, and risk mitigation, prompt the adoption of AI technologies to optimize processes and decision-making. AI-powered solutions enable predictive maintenance, reservoir modeling, and real-time data analysis, enhancing operational performance and asset integrity across the value chain. Moreover, advancements in AI algorithms, machine learning techniques, and big data analytics unlock actionable insights from vast amounts of data generated by sensors, equipment, and production facilities, driving AI in oil and gas market growth.

Additionally, the growing focus on digital transformation and Industry 4.0 initiatives accelerates AI adoption in oil and gas, fostering innovation and competitiveness in the sector. Furthermore, regulatory pressures, environmental concerns, and AI in oil and gas market volatility drive the need for sustainable practices and emissions reduction strategies, further fuelling demand for AI-driven solutions for energy efficiency and environmental stewardship. However, cybersecurity threats, data privacy concerns, and potential resistance to AI adoption within traditional oil and gas operations may challenge AI in oil and gas market growth in the coming years.

The research report covers Porter's Five Forces Model, Market Attractiveness Analysis, and Value Chain analysis. These tools help to get a clear picture of the industry's structure and evaluate the competition attractiveness at a global level. Additionally, these tools also give an inclusive assessment of each segment in the global market of AI in Oil and Gas. The growth and trends of AI in Oil and Gas industry provide a holistic approach to this study.

MARKET SEGMENTATION

This section of the AI in Oil and Gas market report provides detailed data on the segments at country and regional level, thereby assisting the strategist in identifying the target demographics for the respective product or services with the upcoming opportunities.

By Function

Reclamation
Material Movement
Production Planning
Quality Control
Maintenance
Others

By Operation

Upstream
Midstream
Downstream

REGIONAL ANALYSIS

This section covers the regional outlook, which accentuates current and future demand for the AI in Oil and Gas market across North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa. Further, the report focuses on demand, estimation, and forecast for individual application segments across all the prominent regions.

The research report also covers the comprehensive profiles of the key players in the market and an in-depth view of the competitive landscape worldwide. The major players in the AI in Oil and Gas market include Accenture, Google LLC, Microsoft Corporation, Oracle, IBM, Intel Corporation, Nvidia Corporation. This section consists of a holistic view of the competitive landscape that includes various strategic developments such as key mergers & acquisitions, future capacities, partnerships, financial overviews, collaborations, new product developments, new product launches, and other developments.

In case you have any custom requirements, do write to us. Our research team can offer a customized report as per your need.

1. PREFACE

1.1. Report Description
- 1.1.1 Objective
- 1.1.2 Target Audience
- 1.1.3 Unique Selling Proposition (USP) & offerings
1.2. Research Scope
1.3. Research Methodology
- 1.3.1 Market Research Process
- 1.3.2 Market Research Methodology

2. EXECUTIVE SUMMARY

2.1. Highlights of Market
2.2. Global Market Snapshot

3. AI IN OIL AND GAS - INDUSTRY ANALYSIS

3.1. Introduction - Market Dynamics
3.2. Market Drivers
3.3. Market Restraints
3.4. Opportunities
3.5. Industry Trends
3.6. Porter's Five Force Analysis
3.7. Market Attractiveness Analysis
- 3.7.1 Market Attractiveness Analysis By Function
- 3.7.2 Market Attractiveness Analysis By Operation
- 3.7.3 Market Attractiveness Analysis By Region

4. VALUE CHAIN ANALYSIS

4.1. Value Chain Analysis
4.2. Raw Material Analysis
- 4.2.1 List of Raw Materials
- 4.2.2 Raw Material Manufactures List
- 4.2.3 Price Trend of Key Raw Materials
4.3. List of Potential Buyers
4.4. Marketing Channel
- 4.4.1 Direct Marketing
- 4.4.2 Indirect Marketing
- 4.4.3 Marketing Channel Development Trend

5. GLOBAL AI IN OIL AND GAS MARKET ANALYSIS BY FUNCTION

5.1. Overview By Function
5.2. Historical and Forecast Data
5.3. Analysis By Function
5.4. Reclamation Historic and Forecast Sales By Regions
5.5. Material Movement Historic and Forecast Sales By Regions
5.6. Production Planning Historic and Forecast Sales By Regions
5.7. Quality Control Historic and Forecast Sales By Regions
5.8. Maintenance Historic and Forecast Sales By Regions
5.9. Others Historic and Forecast Sales By Regions

6. GLOBAL AI IN OIL AND GAS MARKET ANALYSIS BY OPERATION

6.1. Overview By Operation
6.2. Historical and Forecast Data
6.3. Analysis By Operation
6.4. Upstream Historic and Forecast Sales By Regions
6.5. Midstream Historic and Forecast Sales By Regions
6.6. Downstream Historic and Forecast Sales By Regions

7. GLOBAL AI IN OIL AND GAS MARKET ANALYSIS BY GEOGRAPHY

7.1. Regional Outlook
7.2. Introduction
7.3. North America Sales Analysis
- 7.3.1 Overview, Historic and Forecast Data Sales Analysis
- 7.3.2 North America By Segment Sales Analysis
- 7.3.3 North America By Country Sales Analysis
- 7.3.4 United States Sales Analysis
- 7.3.5 Canada Sales Analysis
- 7.3.6 Mexico Sales Analysis
7.4. Europe Sales Analysis
- 7.4.1 Overview, Historic and Forecast Data Sales Analysis
- 7.4.2 Europe By Segment Sales Analysis
- 7.4.3 Europe By Country Sales Analysis
- 7.4.4 United Kingdom Sales Analysis
- 7.4.5 France Sales Analysis
- 7.4.6 Germany Sales Analysis
- 7.4.7 Italy Sales Analysis
- 7.4.8 Russia Sales Analysis
- 7.4.9 Rest Of Europe Sales Analysis
7.5. Asia Pacific Sales Analysis
- 7.5.1 Overview, Historic and Forecast Data Sales Analysis
- 7.5.2 Asia Pacific By Segment Sales Analysis
- 7.5.3 Asia Pacific By Country Sales Analysis
- 7.5.4 China Sales Analysis
- 7.5.5 India Sales Analysis
- 7.5.6 Japan Sales Analysis
- 7.5.7 South Korea Sales Analysis
- 7.5.8 Australia Sales Analysis
- 7.5.9 South East Asia Sales Analysis
- 7.5.10 Rest Of Asia Pacific Sales Analysis
7.6. Latin America Sales Analysis
- 7.6.1 Overview, Historic and Forecast Data Sales Analysis
- 7.6.2 Latin America By Segment Sales Analysis
- 7.6.3 Latin America By Country Sales Analysis
- 7.6.4 Brazil Sales Analysis
- 7.6.5 Argentina Sales Analysis
- 7.6.6 Peru Sales Analysis
- 7.6.7 Chile Sales Analysis
- 7.6.8 Rest of Latin America Sales Analysis
7.7. Middle East & Africa Sales Analysis
- 7.7.1 Overview, Historic and Forecast Data Sales Analysis
- 7.7.2 Middle East & Africa By Segment Sales Analysis
- 7.7.3 Middle East & Africa By Country Sales Analysis
- 7.7.4 Saudi Arabia Sales Analysis
- 7.7.5 UAE Sales Analysis
- 7.7.6 Israel Sales Analysis
- 7.7.7 South Africa Sales Analysis
- 7.7.8 Rest Of Middle East And Africa Sales Analysis

8. COMPETITIVE LANDSCAPE OF THE AI IN OIL AND GAS COMPANIES

8.1. AI in Oil and Gas Market Competition
8.2. Partnership/Collaboration/Agreement
8.3. Merger And Acquisitions
8.4. New Product Launch
8.5. Other Developments

9. COMPANY PROFILES OF AI IN OIL AND GAS INDUSTRY

9.1. Top Companies Market Share Analysis
9.2. Market Concentration Rate
9.3. Accenture
- 9.3.1 Company Overview
- 9.3.2 Company Revenue
- 9.3.3 Products
- 9.3.4 Recent Developments
9.4. Google LLC
- 9.4.1 Company Overview
- 9.4.2 Company Revenue
- 9.4.3 Products
- 9.4.4 Recent Developments
9.5. Microsoft Corporation
- 9.5.1 Company Overview
- 9.5.2 Company Revenue
- 9.5.3 Products
- 9.5.4 Recent Developments
9.6. Oracle
- 9.6.1 Company Overview
- 9.6.2 Company Revenue
- 9.6.3 Products
- 9.6.4 Recent Developments
9.7. IBM
- 9.7.1 Company Overview
- 9.7.2 Company Revenue
- 9.7.3 Products
- 9.7.4 Recent Developments
9.8. Intel Corporation
- 9.8.1 Company Overview
- 9.8.2 Company Revenue
- 9.8.3 Products
- 9.8.4 Recent Developments
9.9. Nvidia Corporation
- 9.9.1 Company Overview
- 9.9.2 Company Revenue
- 9.9.3 Products
- 9.9.4 Recent Developments