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市场调查报告书
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1536939

石油和天然气领域的人工智慧- 市场占有率分析、行业趋势和统计、成长预测（2024-2029）

AI In Oil And Gas - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2024 - 2029)
出版日期: | 出版商: Mordor Intelligence | 英文 130 Pages | 商品交期: 2-3个工作天内

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简介目录

石油和天然气领域的人工智慧市场规模预计到2024年为31.4亿美元，预计到2029年将达到57亿美元，在预测期内（2024-2029年）复合年增长率为12.61%。

石油和天然气市场中的人工智慧

人工智慧在石油和天然气行业的储存分析、钻井优化、管道异常检测、安全监测、排放、探勘和生产革命、环境永续性等方面的广泛应用预计将推动市场成长。

主要亮点

  • 石油和天然气市场中人工智慧驱动的预测性维护的兴起正在改变公司管理该行业资产的方式。这确保了可靠性的提高和营运风险的降低，预计将推动未来市场的成长。
  • 例如，2023年10月，企业人工智慧应用软体公司C3 AI宣布，其C3 AI可靠性应用将包含壳牌开发的预测维护软体。这将增强C3AI人工智慧生态系统的使用，并使石油公司能够维护关键设备。这显示人工智慧平台在石油和天然气领域的采用越来越多，支持了市场的成长。
  • 人工智慧技术在石油和天然气营运中显示出提高效率的潜力，包括发现模式、简化工作流程、自动化决策以及探索来自感测器、机器和工业流程的大量资料。由人工智慧 (AI) 支援的预测性维护解决方案可以提前预测设备故障，使石油和天然气营运商能够主动规划维护操作，节省停机时间，并最大限度地减少资产使用。
  • 全球石油和天然气市场的人工智慧趋势很大程度上是由生产成本下降的趋势所推动的。面对波动的油价和不断变化的市场动态，石油和天然气营运商越来越多地寻求人工智慧（AI）技术来优化业务、简化流程并降低成本。
  • 人工智慧正在加速其在包括石油和天然气行业在内的各行业的采用，因为它可以处理整个价值链中的大量资料集。人工智慧可以透过机器学习从资料中提取更多价值，揭示隐藏的见解。透过优化复杂的运营，石油和燃气公司可以降低成本并提高生产力。
  • 国际能源总署（IEA）报告称，俄罗斯入侵乌克兰后，俄罗斯削减了对欧洲的管道天然气供应800亿立方公尺（BCM），导致该地区出现能源危机。这影响了石油和天然气行业中下游公司的运营，限制了市场的成长。
  • 欧盟（EU）的目标是透过基于可再生能源的能源倡议的出现来实现能源生产自给自足，但这可能会阻碍欧洲地区石油和天然气产业的成长。这透过限制人工智慧解决方案和服务在石油和天然气行业的实施范围来间接影响市场成长。
  • COVID-19 大流行导致全球停工和经济活动减少，限制了工业活动、旅行和其他用途的石油需求。在 COVID-19 大流行期间，国际原油价格也下跌，减少了世界各地石油和天然气行业的生产探勘活动，影响了所研究市场中人工智慧技术的采用。

石油和天然气领域的人工智慧市场趋势

上游业务部门可望大幅成长

  • 上游业务是指石油和天然气行业的探勘活动，包括进行地质调查、获取土地权以及透过陆上和海上钻探进行生产。在上游作业中，地质学家和勘探团队在寻找新的石油蕴藏量和泉水地层时面临挑战。
  • 资料集在探勘等石油和天然气作业中储存人工智慧将变得更加容易。
  • 例如，石油天然气公司埃克森美孚在石油探勘中使用人工智慧。透过人工智慧模型分析即时地震资料、历史钻井资料等诸多因素，精确探测海洋中的天然石油矿藏。
  • 世界各地的石油和燃气公司都在寻求提高石油探勘的有效性和效率。人工智慧正在支援企业的营运活动。透过使用各种人工智慧工具对记录进行数位化并自动分析地质资料和图表，石油和燃气公司可以识别潜在的问题，例如管道腐蚀或设备使用增加。
  • 华为建构了油气探勘专用云，利用人工智慧和巨量资料能力，重新分析了客户过去10PB的探勘资料，从中挖掘出新的价值，支持开采决策。这为油田付加了巨大的价值，并改变了地震资料收集的操作模式。
  • 基于云端基础的资料分析的最新进展以及石油和天然气运营中数位孪生的出现正在突破预测性维护技术的界限，使其成为监控资产完整性的宝贵工具。石油和天然气行业的公司（包括 BP、埃克森美孚和壳牌）使用预测性维护来评估其操作设备的运作状况并预测维护需求。
  • 根据欧佩克2024年4月公布的资料，原油需求正在增加并呈现成长趋势，显示石油和天然气产业的生产需求增加，这似乎将支撑预测期内的市场成长。
  • 石油和天然气产业对环保生产过程的日益重视，透过航空摄影、卫星影像和遥感探测资料的分析，可以及早发现潜在的环境危害，以防止海上石油洩漏和管道损坏 增加人工智慧技术的应用来识别洩漏。这使得公司能够减少对环境的影响并防止污染物的扩散。所有上述因素预计将推动所研究市场的成长。

北美占最大市场占有率

  • 北美是一个先进且高度发展的人工智慧市场。该地区经济强劲、油田营运商和服务供应商广泛采用人工智慧技术、顶级人工智慧软体和系统供应商的强大影响力，以及政府和私人实体支援研发活动和共同投资的努力。人工智慧需求的因素。扩大石油和天然气产能以及增加对该行业的投资预计将进一步增加市场机会。
  • 由于石油和天然气行业范围更广以及人工智慧在该行业的应用日益广泛，预计该地区的份额将由美国主导。根据美国能源资讯署的数据，过去六年来，美国的原油产量一直高于其他国家。 2023年，包括冷凝油的原油每日平均产量达到1,290万桶，超过了2019年创下的美国和世界纪录1,230万桶。该国丰富的石油和天然气供应降低了能源成本，支持私人投资，并有助于美国经济的进一步成长。
  • 人工智慧考虑到不断变化的能源生产格局，并在整个价值链中提供显着的效益。我们协助石油和天然气公司评估储存价值，根据地质条件调整钻井和完井策略，并评估与每口井相关的风险。由于其完善的基础设施能够为石油和天然气行业提供尖端的解决方案，该地区预计将在一段时间内引领全球市场。新兴企业人工智慧实施投资的增加预计将推动未来几年的市场成长。
  • 人工智慧与石油和天然气探勘的融合彻底改变了公司发现和开采碳氢化合物资源的方法，开创了一个高效和精确的新时代。因此，石油探勘活动的投资预计将增加，人工智慧在该行业的应用将加速。
  • 值得注意的是，埃克森美孚和西方石油等美国着名石油公司已投入数十亿美元用于各种石油探勘活动，同时也透过大规模併购扩大石化燃料业务。
  • 2024 年 3 月，尖端人工智慧 (AI) 程式控制了纳伯斯工业公司的远端钻机。 Corva LLC 开发的该程序利用卫星通讯完美地执行了钻入岩层的瞬间决策。在此过程中，人工智慧程式预计将减少人类操作员发出的命令数量约 5,000 条，同时将钻井速度提高至少 30%。这项创新技术背后的主要目标是降低成本并最大限度地从地表开采石油。美国公司在石油探勘活动中如此大量采用人工智慧技术预计将对市场成长产生积极影响。

人工智慧在石油和天然气行业的概述

石油和天然气的人工智慧市场高度分散，既有全球参与者，也有中小型公司。该市场的主要企业包括 IBM 公司、Fugenx Technologies、C3.AI Inc.、微软公司和英特尔公司。市场上的主要企业正在采取联盟和收购等策略来增强其产品供应并获得永续的竞争优势。

  • 2023年1月，人工智慧应用软体公司C3 AI宣布推出C3 Generative AI产品套件，并发表了首款产品C3 Generative AI for Enterprise Search。 C3 AI 的预先建置人工智慧应用程式包含在 C3 生成式人工智慧产品套件中，其中包括先进的变压器模型，客户可以在整个价值链中轻鬆使用。 C3 Generative AI 将加速跨业务职能和产业（包括石油和天然气产业）的转型工作。
  • 2023 年 8 月，欧洲着名的独立天然气和石油公司 Wintershall Deer 宣布与 IBM Consulting 合作建立 AI 卓越中心，该公司正在转型成为天然气和碳管理领域的主要企业。此次合作旨在推动各种人工智慧使用案例，以提高能源生产。两家公司都与微软作为技术盟友有着密切的联繫。

其他好处

  • Excel 格式的市场预测 (ME) 表
  • 3 个月分析师支持

目录

第一章简介

  • 研究假设和市场定义
  • 调查范围

第二章调查方法

第三章执行摘要

第四章市场洞察

  • 市场概况
  • 产业吸引力－波特五力分析
    • 新进入者的威胁
    • 买家/消费者的议价能力
    • 供应商的议价能力
    • 替代品的威胁
    • 竞争公司之间敌对关係的强度
  • 影响市场的宏观经济因素评估
  • 技术简介 - 按下应用
    • 品管
    • 生产计画
    • 预测性维护
    • 其他应用

第五章市场动态

  • 市场驱动因素
    • 越来越重视轻鬆处理巨量资料
    • 降低生产成本的趋势日益明显
  • 市场限制因素
    • 初始实施成本高
    • 石油和天然气行业缺乏熟练的专业人员
  • 主要使用案例

第六章 市场细分

  • 按操作
    • 上游
    • 中产阶级
    • 下游
  • 按类型
    • 平台
    • 按服务
  • 按地区
    • 北美洲
    • 欧洲
    • 亚洲
    • 澳洲/纽西兰
    • 拉丁美洲
    • 中东/非洲

第七章 竞争格局

  • 公司简介
    • IBM Corporation
    • FuGenX Technologies
    • C3.AI Inc.
    • Microsoft Corporation
    • Intel Corporation
    • ABB Ltd
    • Honeywell International Inc.
    • Huawei Technologies Co. Ltd
    • NVIDIA Corporation
    • Infosys Limited
    • oPRO.ai Inc.

第八章投资分析

第9章 市场的未来

简介目录
Product Code: 64253

The AI In Oil And Gas Market size is estimated at USD 3.14 billion in 2024, and is expected to reach USD 5.70 billion by 2029, growing at a CAGR of 12.61% during the forecast period (2024-2029).

AI In Oil And Gas - Market

The increasing application of AI in reservoir analysis, drilling optimization, anomaly detection in pipelines, safety monitoring, emissions reduction, revolutionizing exploration, production, and environmental sustainability in the oil and gas industries is expected to fuel the growth of the market.

Key Highlights

  • The emergence of predictive maintenance powered by artificial intelligence in the oil and gas market is transforming companies in the sector's asset management. This ensures better reliability and reduces operational risks, which is expected to drive the growth of the market in the future.
  • For instance, in October 2023, C3 AI, the Enterprise AI application software company, announced that the C3 AI reliability application would include predictive maintenance software developed by Shell. This would strengthen the use of C3AI's AI ecosystem to maintain the oil company's critical equipment. This shows the increasing adoption of AI platforms in the oil and gas sector, supporting market growth.
  • AI technologies present the potential for increased efficiency in oil and gas operations to find patterns, streamline workflows, automate decision-making, and examine enormous amounts of data from sensors, machinery, and industrial processes. Predictive maintenance solutions, equipped with artificial intelligence (AI), can forecast equipment breakdowns beforehand, allowing oil & gas businesses to plan maintenance tasks in advance, save downtime, and maximize asset usage.
  • The global AI in the oil and gas market is driven largely by the growing trend of lower production costs. In the face of fluctuating oil prices and shifting market dynamics, oil and gas businesses increasingly seek artificial intelligence (AI) technologies to optimize operations, streamline procedures, and alleviate costs.
  • AI adoption is accelerating across industries, including the oil & gas sector, as it processes massive datasets across the value chain. AI can extract more value from data through machine learning that uncovers hidden insights. Optimizing complex operations enables oil & gas companies to reduce costs and enhance productivity.
  • The International Energy Agency (IEA) reported that after Russia invaded Ukraine, Russia cut 80 billion cubic meters (BCM) of pipeline gas supplies to Europe, which caused an energy crisis in the region. This impacted the operations of midstream and downstream companies in the oil and gas industry, restricting market growth.
  • The European Union's objective to become self-sufficient in energy production with the emergence of renewable source-based energy initiatives can potentially hinder the growth of the oil and gas industry in the European region. This indirectly impacts market growth by limiting the implementation scope of AI solutions and services in the oil and gas industry.
  • The COVID-19 pandemic led to a global shutdown and decreased economic activity worldwide, restricting the demand for oil used for industrial activity, travel, and other applications. The international crude oil price also fell during the COVID-19 pandemic, reducing production exploration activities in the oil and gas industries worldwide and impacting AI technology adoption in the market studied.

AI in Oil and Gas Market Trends

Upstream Operations Segment Expected to Witness Significant Growth

  • Upstream operations refer to the oil and gas industry's exploration activities, which include conducting geological surveys, obtaining land rights, and producing with onshore and offshore drilling. In upstream operations, businesses face challenges when geologists and exploration teams search for new oil reserves and seeps.
  • The adoption of AI in oil and gas operations, such as oil exploration, becomes easy as advanced AI algorithms can analyze larger datasets of seismic surveys, geological formations, historical well logs, and satellite imagery to pinpoint potential oil reservoirs on the land and ocean accurately.
  • For instance, the oil and gas company ExxonMobil is leveraging AI for oil exploration. It uses AI models to analyze real-time seismic data, historical drilling data, and many other factors to accurately detect natural oil seeps in the ocean.
  • Global oil and gas corporations are trying to enhance the effectiveness and efficiency of their oil exploration procedures. AI helps companies with their operations activity. Using different AI tools to digitize records and automate the analysis of geological data and charts, oil and gas companies can identify possible problems like corrosion in pipelines or increased equipment usage.
  • Huawei built a dedicated oil and gas exploration cloud and used AI and Big Data capabilities to re-analyze 10 PB of the customer's historical exploration data, mine new value from it, and support extraction decision-making. This brought substantial additional value to the oilfield and switched the seismic data collection operation modes.
  • Recent advancements in cloud-based data analytics and the advent of digital twins in oil and gas operations have been expanding the boundaries of predictive maintenance technologies, making them a valuable tool for monitoring asset integrity. Companies in the oil and gas industry, including BP, ExxonMobil, and Shell, have been using predictive maintenance to evaluate the condition of their operational equipment and predict maintenance requirements.
  • According to data published by OPEC in April 2024, the demand for crude oil has been increasing and following a growth trend, showing the increasing production demand in the oil and gas industries, which would support the market's growth during the forecast period.
  • The increasing priority on the environment-friendly production process in the oil and gas industry would increase the application of AI technology in the early detection of potential environmental hazards through analyzing aerial photos, satellite imagery, and remote sensing data to identify the oil spills in offshore locations and leakages in pipelines. This enables companies to mitigate the environmental impact and prevent the spread of pollutants. All the above-mentioned factors are expected to drive the growth of the market studied.

North America Holds Largest Market Share

  • North America stands as a leading and highly developed market for AI. The region's strong economy, widespread adoption of AI technologies among oilfield operators and service providers, the significant presence of top AI software and system suppliers, as well as the joint investments made by government and private entities to support research and development activities are all factors that will fuel the demand for AI in the oil and gas sector. The expanding oil and gas production capacities and rising investments in the industry are expected to further enhance market opportunities.
  • The region's share is expected to be dominated by the United States due to its extensive oil and gas sector and the increasing adoption of AI within the sector. As per the US EIA, the United States has consistently produced more crude oil than any other nation for the past six years. In 2023, the average daily crude oil production, including condensate, reached 12.9 million barrels, surpassing the previous United States and global record of 12.3 million barrels set in 2019. The country's abundant oil and gas supply has led to lower energy costs, supporting private-sector investments and contributing to further economic growth in the United States.
  • AI offers significant advantages throughout the entire value chain, considering the ever-changing energy production landscape. It assists oil and gas companies in evaluating the worth of reservoirs, tailoring drilling and completion strategies based on geological conditions, and evaluating risks associated with each well. This region is expected to lead the global market in the foreseeable future due to its well-established infrastructure, which can provide cutting-edge solutions to the oil and gas industry. The growing influx of investments in AI implementation for startups is expected to bolster market growth in the coming years.
  • The integration of AI into oil and gas exploration has brought about a fresh era of effectiveness and precision, revolutionizing the methods employed by companies to locate and uncover hydrocarbon resources. Consequently, the growing investments in oil exploration activities are anticipated to bolster the utilization of AI in this industry.
  • Notably, prominent US-based oil companies such as Exxon Mobil and Occidental Petroleum allocate billions of dollars for diverse oil exploration endeavors while directing substantial funds into their fossil fuel enterprises through significant mergers and acquisitions.
  • In March 2024, a cutting-edge Artificial Intelligence (AI) program assumed control of the remote Nabors Industries Ltd rig. Utilizing satellite communication, this program, developed by Corva LLC, flawlessly executed split-second decisions to drill through the rock formations. By doing so, it is estimated that the AI program will reduce the number of commands issued by the human operator by approximately 5,000 while also enhancing drilling speed by a minimum of 30%. The primary goal behind this innovative technology is to reduce expenses and maximize oil extraction from the earth's surface. Such significant adoption of AI technology in oil exploration activities by US companies is expected to positively influence market growth.

AI in Oil and Gas Industry Overview

The AI in oil and gas market is extremely fragmented due to the presence of both global players and small and medium-sized enterprises. Some of the major players in the market are IBM Corporation, Fugenx Technologies, C3.AI Inc., Microsoft Corporation, and Intel Corporation. Key players in the market are adopting strategies such as partnerships and acquisitions to enhance their product offerings and gain sustainable competitive advantage.

  • In January 2023, C3 AI, an AI application software company, launched the C3 Generative AI Product Suite, which was the release of its initial product, C3 Generative AI for Enterprise Search. C3 AI's pre-built AI applications in the C3 Generative AI Product Suite include advanced transformer models, making it easier for customers to use them throughout their value chains. Transformation efforts across business functions and industries, including the oil and gas sector, would be accelerated by C3 Generative AI.
  • In August 2023, Wintershall Dea, a prominent independent natural gas and oil company in Europe that is transitioning into a key player in gas and carbon management, announced its collaboration with IBM Consulting to form an AI Center of Competence (CoC). This partnership aims to advance various AI use cases that enhance energy production. Both companies have solid ties with Microsoft as a technology ally.

Additional Benefits:

  • The market estimate (ME) sheet in Excel format
  • 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 Study Assumptions and Market Definition
  • 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET INSIGHTS

  • 4.1 Market Overview
  • 4.2 Industry Attractiveness - Porter's Five Forces Analysis
    • 4.2.1 Threat of New Entrants
    • 4.2.2 Bargaining Power of Buyers/Consumers
    • 4.2.3 Bargaining Power of Suppliers
    • 4.2.4 Threat of Substitute Products
    • 4.2.5 Intensity of Competitive Rivalry
  • 4.3 Assessment of Macroeconomic Factors on the Market
  • 4.4 Technology Snapshot - By Application
    • 4.4.1 Quality Control
    • 4.4.2 Production Planning
    • 4.4.3 Predictive Maintenance
    • 4.4.4 Other Applications

5 MARKET DYNAMICS

  • 5.1 Market Drivers
    • 5.1.1 Increasing Focus to Easily Process Big Data
    • 5.1.2 Rising Trend to Reduce Production Cost
  • 5.2 Market Restraints
    • 5.2.1 Initial High Cost of Adoption
    • 5.2.2 Lack of Skilled Professionals in the Oil and Gas Industry
  • 5.3 Key Use Cases

6 MARKET SEGMENTATION

  • 6.1 By Operation
    • 6.1.1 Upstream
    • 6.1.2 Midstream
    • 6.1.3 Downstream
  • 6.2 By Type
    • 6.2.1 Platform
    • 6.2.2 Services
  • 6.3 By Geography***
    • 6.3.1 North America
    • 6.3.2 Europe
    • 6.3.3 Asia
    • 6.3.4 Australia and New Zealand
    • 6.3.5 Latin America
    • 6.3.6 Middle East and Africa

7 COMPETITIVE LANDSCAPE

  • 7.1 Company Profiles*
    • 7.1.1 IBM Corporation
    • 7.1.2 FuGenX Technologies
    • 7.1.3 C3.AI Inc.
    • 7.1.4 Microsoft Corporation
    • 7.1.5 Intel Corporation
    • 7.1.6 ABB Ltd
    • 7.1.7 Honeywell International Inc.
    • 7.1.8 Huawei Technologies Co. Ltd
    • 7.1.9 NVIDIA Corporation
    • 7.1.10 Infosys Limited
    • 7.1.11 oPRO.ai Inc.

8 INVESTMENT ANALYSIS

9 FUTURE OF THE MARKET