查看购物车
  • Traditional Chinese
  • English
  • Japanese
封面
市场调查报告书
商品编码
1961894

2026-2034年全球石油天然气产业人工智慧市场规模、份额、趋势和成长分析报告

Global AI in Oil and Gas Market Size, Share, Trends & Growth Analysis Report 2026-2034
出版日期: | 出版商: Value Market Research | 英文 152 Pages | 商品交期: 最快1-2个工作天内

价格
简介目录

预计石油和天然气市场的人工智慧（AI）市场将从 2025 年的 57.5 亿美元成长到 2034 年的 172.5 亿美元，2026 年至 2034 年的复合年增长率为 12.98%。

随着石油和天然气行业越来越多地采用旨在提高营运效率和决策能力的先进技术，人工智慧市场正经历显着成长。人工智慧（AI）正在改变石油和天然气行业的各个方面，从探勘和生产到炼油和分销。透过利用人工智慧演算法和机器学习，企业可以分析大量数据，从而优化钻井作业、改善储存管理并增强预测性维护。在对效率和成本效益日益增长的需求以及应对行业挑战的创新解决方案的推动下，石油和天然气行业的人工智慧市场预计将大幅扩张。

此外，对永续性和环境责任日益增长的关注也影响着石油和天然气产业的AI市场。各公司致力于最大限度地减少对环境的影响并提高安全性。 AI技术有助于识别潜在风险并优化资源利用，使公司能够以更永续运作。这种向永续性的转变正促使石油和燃气公司投资于与其环境目标相符的AI解决方案，进一步加速市场成长。

此外，石油和天然气产业数位转型措施的兴起正在改变人工智慧市场格局，企业纷纷推动营运现代化，并加强数据驱动型决策。人工智慧、物联网设备和先进分析技术的融合，为创新和效率提升创造了新的机会。随着市场不断发展，对绩效、永续性和数位转型的关注将推动石油和天然气产业人工智慧市场的成长，使其成为未来能源生产和管理的关键要素。

目录

第一章：引言

第二章执行摘要

第三章 市场变数、趋势与框架

  • 市场谱系展望
  • 渗透率和成长前景分析
  • 价值链分析
  • 法律规范
    • 标准与合规性
    • 监管影响分析
  • 市场动态
    • 市场驱动因素
    • 市场限制因素
    • 市场机会
    • 市场挑战
  • 波特五力分析
  • PESTLE分析

第四章：全球油气产业的全球人工智慧市场：按类型划分

  • 市场分析、洞察与预测
  • 硬体
  • 软体
  • 杂交种

第五章：全球石油天然气产业的全球人工智慧市场：按功能划分

  • 市场分析、洞察与预测
  • 预测性维护和机械检查
  • 物质运动
  • 生产计画
  • 现场服务
  • 品管
  • 回放过程

第六章：全球油气产业人工智慧市场：按应用领域划分

  • 市场分析、洞察与预测
  • 上游部门
  • 下游产业
  • 中游过程

第七章：全球油气产业人工智慧市场：按地区划分

  • 区域分析
  • 北美市场分析、洞察与预测
    • 我们
    • 加拿大
    • 墨西哥
  • 欧洲市场分析、洞察与预测
    • 英国
    • 法国
    • 德国
    • 义大利
    • 俄罗斯
    • 其他欧洲国家
  • 亚太市场分析、洞察与预测
    • 印度
    • 日本
    • 韩国
    • 澳洲
    • 东南亚
    • 其他亚太国家
  • 拉丁美洲市场分析、洞察与预测
    • 巴西
    • 阿根廷
    • 秘鲁
    • 智利
    • 其他拉丁美洲国家
  • 中东和非洲市场分析、洞察与预测
    • 沙乌地阿拉伯
    • UAE
    • 以色列
    • 南非
    • 其他中东和非洲国家

第八章 竞争情势

  • 最新趋势
  • 公司分类
  • 供应链和销售管道合作伙伴（根据现有资讯）
  • 市场占有率和市场定位分析（基于现有资讯）
  • 供应商情况（基于现有资讯）
  • 策略规划

第九章：公司简介

  • 主要公司的市占率分析
  • 公司简介
    • IBM
    • Intel
    • Microsoft
    • Accenture
    • Google
    • Microsoft
    • Oracle
    • Numenta
    • Sentient Technologies
    • Inbenta
    • General Vision
    • Cisco
    • FuGenX Technologies
    • Infosys
    • Hortonworks
    • Royal Dutch Shell
简介目录
Product Code: VMR112114577

The AI in Oil and Gas Market size is expected to reach USD 17.25 Billion in 2034 from USD 5.75 Billion (2025) growing at a CAGR of 12.98% during 2026-2034.

The AI in oil and gas market is experiencing significant growth as the industry increasingly adopts advanced technologies to enhance operational efficiency and decision-making. Artificial intelligence (AI) is transforming various aspects of the oil and gas sector, from exploration and production to refining and distribution. By leveraging AI algorithms and machine learning, companies can analyze vast amounts of data to optimize drilling operations, improve reservoir management, and enhance predictive maintenance. As the demand for efficiency and cost-effectiveness continues to rise, the AI in oil and gas market is expected to expand significantly, driven by the need for innovative solutions that address industry challenges.

Moreover, the increasing focus on sustainability and environmental responsibility is influencing the AI in oil and gas market, as companies seek to minimize their environmental impact and improve safety. AI technologies can help identify potential risks and optimize resource utilization, enabling companies to operate more sustainably. This shift towards sustainability is prompting oil and gas companies to invest in AI solutions that align with their environmental goals, further driving the growth of the market.

Additionally, the rise of digital transformation initiatives in the oil and gas sector is transforming the AI market, as companies seek to modernize their operations and enhance data-driven decision-making. The integration of AI with IoT devices and advanced analytics is creating new opportunities for innovation and efficiency. As the market continues to evolve, the focus on performance, sustainability, and digital transformation will drive the growth of the AI in oil and gas market, positioning it as a key player in the future of energy production and management.

Our reports are meticulously crafted to provide clients with comprehensive and actionable insights into various industries and markets. Each report encompasses several critical components to ensure a thorough understanding of the market landscape:

Market Overview: A detailed introduction to the market, including definitions, classifications, and an overview of the industry's current state.

Market Dynamics: In-depth analysis of key drivers, restraints, opportunities, and challenges influencing market growth. This section examines factors such as technological advancements, regulatory changes, and emerging trends.

Segmentation Analysis: Breakdown of the market into distinct segments based on criteria like product type, application, end-user, and geography. This analysis highlights the performance and potential of each segment.

Competitive Landscape: Comprehensive assessment of major market players, including their market share, product portfolio, strategic initiatives, and financial performance. This section provides insights into the competitive dynamics and key strategies adopted by leading companies.

Market Forecast: Projections of market size and growth trends over a specified period, based on historical data and current market conditions. This includes quantitative analyses and graphical representations to illustrate future market trajectories.

Regional Analysis: Evaluation of market performance across different geographical regions, identifying key markets and regional trends. This helps in understanding regional market dynamics and opportunities.

Emerging Trends and Opportunities: Identification of current and emerging market trends, technological innovations, and potential areas for investment. This section offers insights into future market developments and growth prospects.

MARKET SEGMENTATION

By Type

  • Hardware
  • Software
  • Hybrid

By Function

  • Predictive Maintenance And Machinery Inspection
  • Material Movement
  • Production Planning
  • Field Services
  • Quality Control
  • Reclamation

By Application

  • Upstream
  • Downstream
  • Midstream

COMPANIES PROFILED

  • IBM, Intel, Microsoft, Accenture, Google, Microsoft, Oracle, Numenta, Sentient technologies, Inbenta, General Vision, Cisco, FuGenX Technologies, Infosys, Hortonworks, Royal Dutch Shell

We can customise the report as per your requriements

TABLE OF CONTENTS

Chapter 1. PREFACE

  • 1.1. Market Segmentation & Scope
  • 1.2. Market Definition
  • 1.3. Information Procurement
    • 1.3.1 Information Analysis
    • 1.3.2 Market Formulation & Data Visualization
    • 1.3.3 Data Validation & Publishing
  • 1.4. Research Scope and Assumptions
    • 1.4.1 List of Data Sources

Chapter 2. EXECUTIVE SUMMARY

  • 2.1. Market Snapshot
  • 2.2. Segmental Outlook
  • 2.3. Competitive Outlook

Chapter 3. MARKET VARIABLES, TRENDS, FRAMEWORK

  • 3.1. Market Lineage Outlook
  • 3.2. Penetration & Growth Prospect Mapping
  • 3.3. Value Chain Analysis
  • 3.4. Regulatory Framework
    • 3.4.1 Standards & Compliance
    • 3.4.2 Regulatory Impact Analysis
  • 3.5. Market Dynamics
    • 3.5.1 Market Drivers
    • 3.5.2 Market Restraints
    • 3.5.3 Market Opportunities
    • 3.5.4 Market Challenges
  • 3.6. Porter's Five Forces Analysis
  • 3.7. PESTLE Analysis

Chapter 4. GLOBAL AI IN OIL AND GAS MARKET: BY TYPE 2022-2034 (USD MN)

  • 4.1. Market Analysis, Insights and Forecast Type
  • 4.2. Hardware Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 4.3. Software Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 4.4. Hybrid Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 5. GLOBAL AI IN OIL AND GAS MARKET: BY FUNCTION 2022-2034 (USD MN)

  • 5.1. Market Analysis, Insights and Forecast Function
  • 5.2. Predictive Maintenance And Machinery Inspection Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 5.3. Material Movement Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 5.4. Production Planning Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 5.5. Field Services Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 5.6. Quality Control Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 5.7. Reclamation Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 6. GLOBAL AI IN OIL AND GAS MARKET: BY APPLICATION 2022-2034 (USD MN)

  • 6.1. Market Analysis, Insights and Forecast Application
  • 6.2. Upstream Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 6.3. Downstream Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 6.4. Midstream Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 7. GLOBAL AI IN OIL AND GAS MARKET: BY REGION 2022-2034(USD MN)

  • 7.1. Regional Outlook
  • 7.2. North America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 7.2.1 By Type
    • 7.2.2 By Function
    • 7.2.3 By Application
    • 7.2.4 United States
    • 7.2.5 Canada
    • 7.2.6 Mexico
  • 7.3. Europe Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 7.3.1 By Type
    • 7.3.2 By Function
    • 7.3.3 By Application
    • 7.3.4 United Kingdom
    • 7.3.5 France
    • 7.3.6 Germany
    • 7.3.7 Italy
    • 7.3.8 Russia
    • 7.3.9 Rest Of Europe
  • 7.4. Asia-Pacific Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 7.4.1 By Type
    • 7.4.2 By Function
    • 7.4.3 By Application
    • 7.4.4 India
    • 7.4.5 Japan
    • 7.4.6 South Korea
    • 7.4.7 Australia
    • 7.4.8 South East Asia
    • 7.4.9 Rest Of Asia Pacific
  • 7.5. Latin America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 7.5.1 By Type
    • 7.5.2 By Function
    • 7.5.3 By Application
    • 7.5.4 Brazil
    • 7.5.5 Argentina
    • 7.5.6 Peru
    • 7.5.7 Chile
    • 7.5.8 South East Asia
    • 7.5.9 Rest of Latin America
  • 7.6. Middle East & Africa Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 7.6.1 By Type
    • 7.6.2 By Function
    • 7.6.3 By Application
    • 7.6.4 Saudi Arabia
    • 7.6.5 UAE
    • 7.6.6 Israel
    • 7.6.7 South Africa
    • 7.6.8 Rest of the Middle East And Africa

Chapter 8. COMPETITIVE LANDSCAPE

  • 8.1. Recent Developments
  • 8.2. Company Categorization
  • 8.3. Supply Chain & Channel Partners (based on availability)
  • 8.4. Market Share & Positioning Analysis (based on availability)
  • 8.5. Vendor Landscape (based on availability)
  • 8.6. Strategy Mapping

Chapter 9. COMPANY PROFILES OF GLOBAL AI IN OIL AND GAS INDUSTRY

  • 9.1. Top Companies Market Share Analysis
  • 9.2. Company Profiles
    • 9.2.1 IBM
    • 9.2.2 Intel
    • 9.2.3 Microsoft
    • 9.2.4 Accenture
    • 9.2.5 Google
    • 9.2.6 Microsoft
    • 9.2.7 Oracle
    • 9.2.8 Numenta
    • 9.2.9 Sentient Technologies
    • 9.2.10 Inbenta
    • 9.2.11 General Vision
    • 9.2.12 Cisco
    • 9.2.13 FuGenX Technologies
    • 9.2.14 Infosys
    • 9.2.15 Hortonworks
    • 9.2.16 Royal Dutch Shell