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市场调查报告书
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1574133

石油和天然气领域的人工智慧 (AI) 市场 – 2024 年至 2029 年预测

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 (AI) 市场规模预计将从 2024 年的 53.05 亿美元增至 2029 年的 150.1 亿美元，预测期内复合年增长率为 23.12%。

石油和天然气产业是全球经济中最重要的部门之一，在该产业中实施人工智慧可以解决各个业务流程的重大挑战。从维护安全到重新定位开采过程，这些人工智慧解决方案可以改变石油钻井作业的运作方式，减少人为风险因素的空间，并提高活动的生产力。

人工智慧在石油和天然气行业的使用可以帮助识别、提取和预测新的和蕴藏量。它还有助于开发和增强工具和设备软体，例如自动钻井机操作软体，自动化原油生产和提取设置，并为工业公司提供现场和场外服务。随着人工智慧 (AI) 在过去十年中开始在石油和天然气领域实施，该市场正处于商业週期的扩张阶段，预计未来几年 (AI) 市场扩张将出现多个成长机会。

石油和天然气市场的驱动因素：

  • 石油和天然气行业产生的大量资料预计将增加全球对人工智慧的需求。

石油和天然气行业以产生大量资料而闻名。因此，资料常常无法充分分析，而可能使公司和整个产业受益的有价值的见解和推导却遗失了。因此，可以使用人工智慧处理和分析透过各种方法从公司内部各个部门获得的资料。人工智慧支援的决策可以透过石油和天然气产业组织层面的资料分析来做出。

例如，壳牌提供的人工智慧应用可以从现场收集资料，以预测侵蚀和劣化并防止洩漏。因此，您可以使用历史和当前资料来预测未来趋势并执行适合当前时限的最佳操作。人工智慧还可以帮助您立即应对安全隐患和环境影响，避免事故，并防止违规行为。

石油和天然气领域人工智慧 (AI) 的地理景观：

  • 北美地区预计将在石油和天然气领域的人工智慧市场中占据很大份额。

美国等北美国家拥有多家提供基于人工智慧的解决方案和创新的软体和技术公司，这有助于满足石油和天然气行业对更高效的人工智慧解决方案的需求。因此，全球各大石油燃气公司在加速对人工智慧的投资。这些石油和天然气开采公司由许多北美人工智慧解决方案供应商提供服务。

北美石油和天然气领域人工智慧 (AI) 领域的着名公司包括 C3 AI、IBM Microsoft 和 Google LLC。这些公司正在与着名的石油和燃气公司合作，将数位化和人工智慧引入业务中。他们的人工智慧技术不断发展，为客户提供更高品质的输出，同时继续改进他们的产品、服务和产品组合。北美市场对石油和天然气的需求预计将大幅增加，这可能会在预测期内影响这些行业的全球人工智慧市场。

为什么要购买这份报告？

  • 富有洞察力的分析：获得涵盖关键和新兴地区的深入市场洞察，重点关注客户细分、政府政策和社会经济因素、消费者偏好、行业部门和其他子区隔。
  • 竞争格局：了解世界主要企业采取的策略策略，并了解透过正确的策略渗透市场的潜力。
  • 市场驱动因素和未来趋势：探索动态因素和关键市场趋势以及它们将如何塑造未来市场发展。
  • 可行的建议：利用洞察力做出策略决策，以在动态环境中发现新的业务流和收益。
  • 面向广大受众：对于新兴企业、研究机构、顾问、中小型企业和大型企业有用且具有成本效益。

公司使用我们的报告的目的是什么？

产业和市场考量、机会评估、产品需求预测、打入市场策略、地理扩张、资本投资决策、法律规范与影响、新产品开发、竞争影响

调查范围

  • 2022年至2029年历史资料与预测
  • 成长机会、挑战、供应链前景、法规结构、顾客行为、趋势分析
  • 竞争对手的市场状况、策略与市场占有率分析
  • 包括国家在内的细分市场和地区的收益成长和预测评估
  • 公司简介（策略、产品、财务资讯、主要动态等）

目录

第一章简介

  • 市场概况
  • 市场定义
  • 调查范围
  • 市场区隔
  • 货币
  • 先决条件
  • 基准年和预测年时间表
  • 相关人员的主要利益

第二章调查方法

  • 研究设计
  • 调查过程

第三章执行摘要

  • 主要发现

第四章市场动态

  • 市场驱动因素
  • 市场限制因素
  • 波特五力分析
  • 产业价值链分析
  • 分析师观点

第五章石油和天然气领域的人工智慧（AI）市场：按营运划分

  • 介绍
  • 上游
  • 中产阶级
  • 下游

第六章 石油和天然气领域的人工智慧 (AI) 市场：按应用分类

  • 介绍
  • 表面分析
  • 缺陷检测
  • 钻孔和精加工
  • 收集及运输
  • 加工/精製维护
  • 其他的

第七章 石油和天然气领域的人工智慧（AI）市场：按地区

  • 介绍
  • 北美洲
    • 按操作
    • 按用途
    • 按国家/地区
  • 南美洲
    • 按操作
    • 按用途
    • 按国家/地区
  • 欧洲
    • 按操作
    • 按用途
    • 按国家/地区
  • 中东/非洲
    • 按操作
    • 按用途
    • 按国家/地区
  • 亚太地区
    • 按操作
    • 按用途
    • 按国家/地区

第八章竞争环境及分析

  • 主要企业及策略分析
  • 市场占有率分析
  • 合併、收购、协议和合作
  • 竞争对手仪表板

第九章 公司简介

  • Microsoft Corporation
  • IBM Corporation
  • C3.ai, Inc
  • DataRobot, Inc
  • Aspen Technology Inc
  • Intel Corporation
  • FuGenX Technologies
  • Stem Inc.
  • Google LLC
简介目录
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