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市场调查报告书
商品编码
1449616

石油和天然气领域的人工智慧 (AI) 市场:按应用、按组件、按产品、按地区

Artificial Intelligence in Oil and Gas Market, By Application (Energy Storage Systems, Industrial Applications), By Component, By Product, By Geography

出版日期: | 出版商: Coherent Market Insights | 英文 150 Pages | 商品交期: 2-3个工作天内

价格
简介目录

2023年,石油和天然气领域的人工智慧(AI)市场规模估值为29.9亿美元,2024年至2031年复合年增长率为12.5%,预计到2031年将达到76.5亿美元。人工智慧(AI)在石油和天然气产业中发挥越来越重要的作用。

报告范围 报告详情
基准年 2023年 2023/2024年市场规模 29.9亿美元
实际资料 2019-2023 预测期 2024-2031
预测期2023/2024~2030/2031年复合成长率: 12.50% 2030/2031 年预测值 76.5亿美元
图 1. 2024 年按地区分類的石油和天然气领域人工智慧 (AI)市场占有率(%)
石油和天然气市场中的人工智慧-IMG1

人工智慧 (AI) 正在透过自动化日常任务和增强人类决策来彻底改变每个主要产业。石油和天然气产业也利用人工智慧解决方案进行各种上下游业务,包括地震资料分析、储存建模、钻井作业、产量预测和预防性维护。人工智慧正在帮助石油和燃气公司从Petabyte的探勘和生产资料中获得深刻的见解,以提高采收率、降低成本并优化营运。机器学习演算法可以分析历史资料模式以预测设备故障并建议规范性维护操作。人工智慧的先进分析能力使石油和天然气公司能够做出明智的业务决策,发现新的蕴藏量,并更有效地生产石油和天然气。油田的健康和生产商的收益都取决于成功的营运。优化人工智慧 (AI) 价值链对于这趟旅程至关重要。

市场动态:

石油和天然气领域的人工智慧 (AI) 市场是由优化营运和维护活动的需求所驱动的。全球能源需求的增加和传统型蕴藏量的枯竭正在推动石油和天然气公司采用数位技术来提高成熟油田的采收率并探勘传统型蕴藏量。然而,高昂的初始投资和缺乏熟练劳动力为人工智慧解决方案的广泛采用带来了挑战。从积极的一面来看,即时供应链优化和 COVID-19 大流行期间远端操作的重要性日益增加,正在为人工智慧供应商创造新的商机。石油公司对排放和永续性目标的日益关注可能会在不久的将来推动对人工智慧主导的效率计画的进一步投资。

本研究的主要特点

  • 本报告对石油和天然气领域的人工智慧(AI)市场进行了详细分析,并列出了以2023年为基准年的预测期(2024-2031)的市场规模和復合年增长率。
  • 它还说明了各个细分市场的潜在商机,并为该市场提供了一系列有吸引力的投资提案。
  • 它还提供了有关市场驱动因素、限制因素、机会、新产品发布和核准、市场趋势、区域前景、主要企业采取的竞争策略等的重要见解。
  • 它根据公司亮点、产品系列、主要亮点、财务业绩和策略等参数,对石油和天然气市场人工智慧 (AI)的主要企业进行了介绍。
  • 该报告的见解将使负责人和公司经营团队能够就未来的产品发布、升级、市场扩张和行销策略做出明智的决策。
  • 石油和天然气中的人工智慧 (AI) 市场报告迎合了该行业的各个相关人员,如投资者、供应商、产品製造商、经销商、新进业者和财务分析师。
  • 透过用于分析石油和天然气市场人工智慧(AI)的各种策略矩阵,将有助于相关人员做出决策。

目录

第一章 研究目的与前提

  • 研究目标
  • 先决条件
  • 简称

第二章 市场概况

  • 报告说明
    • 市场定义和范围
  • 执行摘要
  • Coherent Opportunity Map(COM)

第三章 市场动态、法规与趋势分析

  • 市场动态
  • 石油和天然气公司的数位转型努力
  • 需要提高安全性并降低风险
  • 初期成本高
  • 缺乏熟练的人工智慧人才
  • 更多采用人工智慧进行预测性维护
  • 与人工智慧整合开发智慧管道和智慧井。
  • 主要亮点
  • 监管场景
  • 最近的趋势
  • 产品发布/核准
  • PEST分析
  • 波特的分析
  • 合併、收购和合作

第 4 章 石油和天然气领域的人工智慧 (AI) 市场 - 冠状病毒 (COVID-19) 大流行的影响

  • 新型冠状病毒感染疾病(COVID-19)的流行病学
  • 供需面分析
  • 经济影响

第五章 石油与天然气领域人工智慧 (AI) 市场(按应用),2019-2031 年

  • 能源储存系统(ESS)
  • 工业用途

第六章 2019-2031 年石油和天然气领域人工智慧 (AI) 市场(按组成部分)

  • 可再生能源
  • 公共工程
  • 製造业

第 7 章 石油和天然气领域的人工智慧 (AI) 市场(按产品),2019-2031 年

  • 直销
  • 代理销售

第八章 2019-2031 年石油和天然气产业人工智慧 (AI) 市场(按地区)

  • 北美洲
  • 美国
  • 加拿大
  • 欧洲
  • 德国
  • 英国
  • 西班牙
  • 法国
  • 义大利
  • 俄罗斯
  • 其他欧洲国家
  • 亚太地区
  • 中国
  • 印度
  • 日本
  • 韩国
  • ASEAN
  • 其他亚太地区
  • 拉丁美洲
  • 巴西
  • 阿根廷
  • 墨西哥
  • 其他拉丁美洲
  • 中东和非洲
  • 海湾合作委员会国家
  • 以色列
  • 南非
  • 北非
  • 中部非洲
  • 其他中东地区

第9章 竞争格局

  • 公司简介
    • Google
    • IBM
    • SAS
    • Microsoft Corporation
    • Accenture Plc.
    • H20.ai.
    • Baidu, Inc.
    • Oracle Corporation

第10章

  • 参考
  • 调查方法
  • 关于出版商
简介目录
Product Code: CMI6593

The Artificial Intelligence (AI) in Oil and Gas Market size was valued at US$ 2.99 Billion in 2023 and is expected to reach US$ 7.65 Billion by 2031, growing at a compound annual growth rate (CAGR) of 12.5% from 2024 to 2031. Artificial Intelligence (AI) is playing an increasingly important role in the oil and gas industry.

Report Coverage Report Details
Base Year: 2023 Market Size in 2023/2024: US$ 2.99 Bn
Historical Data for: 2019 to 2023 Forecast Period: 2024 - 2031
Forecast Period 2023/2024 to 2030/2031 CAGR: 12.50% 2030/2031 Value Projection: US$ 7.65 Bn
Figure 1. Artificial Intelligence (AI) in Oil and Gas Market Share (%), By Region, 2024
Artificial Intelligence in Oil and Gas Market - IMG1

Artificial intelligence (AI) is revolutionizing every major industry by automating routine tasks and augmenting human decision making. The oil and gas industry is also leveraging AI solutions across various upstream and downstream operations like seismic data analysis, reservoir modeling, drilling operations, production forecasting, preventive maintenance, and others. AI is helping oil and gas companies gain deeper insights from vast petabyte volumes of exploration and production data, improve recovery rates, decrease costs and optimize operations. Machine learning algorithms can analyze past data patterns to predict equipment failures and recommend prescriptive maintenance actions. Advanced analytical capabilities of AI are empowering oil and gas companies to make informed business decisions, discover new reserves and produce oil and gas more efficiently. The health of the field and the producer's bottom line both depend on operations running well. Artificial intelligence (AI) value chain optimization is crucial for this journey.

Market Dynamics:

The artificial intelligence (AI) in oil and gas market is driven by the need to optimize operations and maintenance activities. Rising global energy demand and depleting conventional reserves is prompting oil and gas companies to adopt digital technologies for improving recovery rates from mature fields and exploration of unconventional reserves. However, high initial investment and lack of skilled workforce pose a challenge to widespread adoption of AI solutions. On the positive side, growing importance of real-time supply chain optimization and remote operations during COVID-19 pandemic has created new opportunities for AI vendors. Increasing focus on emission reduction and sustainability goals of oil companies will further fuel investments in AI-driven efficiency enhancement programs in near future.

Key features of the study:

  • This report provides in-depth analysis of the artificial intelligence(AI) in oil and gas market, and provides market size (US$ Bn) and compound annual growth rate (CAGR %) for the forecast period (2024-2031), considering 2023 as the base year
  • It elucidates potential revenue opportunities across different segments and explains attractive investment proposition matrices for this market
  • This study also provides key insights about market drivers, restraints, opportunities, new product launches or approval, market trends, regional outlook, and competitive strategies adopted by key players
  • It profiles key players in the artificial intelligence (AI) in oil and gas market based on the following parameters - company highlights, products portfolio, key highlights, financial performance, and strategies
  • Key companies covered as a part of this study include , Google, IBM, SAS, Microsoft Corporation, Accenture Plc., H2O.ai., Baidu, Inc., and Oracle Corporation
  • Insights from this report would allow marketers and the management authorities of the companies to make informed decisions regarding their future product launches, type up-gradation, market expansion, and marketing tactics
  • The artificial intelligence(AI) in oil and gas market report caters to various stakeholders in this industry including investors, suppliers, product manufacturers, distributors, new entrants, and financial analysts
  • Stakeholders would have ease in decision-making through various strategy matrices used in analyzing the artificial intelligence(AI) in oil and gas market

Detailed Segmentation:

  • Artificial Intelligence (AI) in Oil and Gas Market, By Application
    • Energy Storage Systems (ESS)
    • Industrial Applications
  • Artificial Intelligence (AI) in Oil and Gas Market, By Component
    • Renewable Energy
    • Utilities
    • Manufacturing
  • Artificial Intelligence (AI) in Oil and Gas Market, By Product
    • Direct Sale
    • Distributors
  • Artificial Intelligence (AI) in Oil and Gas Market, By Region
    • North America
    • Europe
    • Asia Pacific
    • Latin America
    • Middle East
    • Africa
  • Top Companies in the Artificial Intelligence (AI) in Oil and Gas Market, Market:
    • Google
    • IBM
    • SAS
    • Accenture Plc
    • Baidu, Inc.
    • H20.ai.
    • Microsoft Corporation
    • Oracle Corporation

Table of Contents

1. Research Objectives and Assumptions

  • Research Objectives
  • Assumptions
  • Abbreviations

2. Market Overview

  • Report Description
    • Market Definition and Scope
  • Executive Summary
    • AI in Oil and Gas Market, By Application
    • AI in Oil and Gas Market, By Component
    • AI in Oil and Gas Market, By Product
    • AI in Oil and Gas Market, By Region
  • Coherent Opportunity Map (COM)

3. Market Dynamics, Regulations, and Trends Analysis

  • Market Dynamics
    • Drivers
  • Digital transformation efforts by oil and gas companies
  • Need for improved safety and risk mitigation
    • Restraints
  • High initial costs
  • Lack of skilled AI workforce
    • Opportunities
  • Increased adoption of AI for predictive maintenance
  • Development of smart pipelines and smart wells through AI integration.
  • Key Highlights
  • Regulatory Scenario
  • Recent Trends
  • Product Launches/Approvals
  • PEST Analysis
  • PORTER's Analysis
  • Mergers, Acquisitions, and Collaborations

4. Artificial Intelligence (AI) in Oil and Gas Market - Impact of Coronavirus (COVID-19) Pandemic

  • COVID-19 Epidemiology
  • Supply Side and Demand Side Analysis
  • Economic Impact

5. Artificial Intelligence (AI) in Oil and Gas Market, By Application, 2019-2031, (US$ Bn)

  • Introduction
    • Market Share Analysis, 2024 and 2031 (%)
    • Y-o-Y Growth Analysis, 2019 - 2031
    • Segment Trends
  • Energy Storage Systems (ESS)
    • Introduction
    • Market Size and Forecast, and Y-o-Y Growth, 20242031, (US$ Bn)
  • Industrial Applications
    • Introduction
    • Market Size and Forecast, and Y-o-Y Growth, 2024-2031,(US$ Bn)

6. Artificial Intelligence (AI) in Oil and Gas Market, By Component, 2019-2031, (US$ Bn)

  • Introduction
    • Market Share Analysis, 2024 and 2031 (%)
    • Y-o-Y Growth Analysis, 2019 - 2031
    • Segment Trends
  • Renewable Energy
    • Introduction
    • Market Size and Forecast, and Y-o-Y Growth, 2024-2031, (US$ Bn)
  • Utilities
    • Introduction
    • Market Size and Forecast, and Y-o-Y Growth, 2024-2031, (US$ Bn)
  • Manufacturing
    • Introduction
    • Market Size and Forecast, and Y-o-Y Growth, 2024-2031, (US$ Bn)

7. Artificial Intelligence (AI) in Oil and Gas Market, By Product, 2019-2031,(US$ Bn)

  • Introduction
    • Market Share Analysis, 2024 and 2031 (%)
    • Y-o-Y Growth Analysis, 2019 - 2031
    • Segment Trends
  • Direct Sales
    • Introduction
    • Market Size and Forecast, and Y-o-Y Growth, 2024-2031, (US$ Bn)
  • Distributors
    • Introduction
    • Market Size and Forecast, and Y-o-Y Growth, 2024-2031, (US$ Bn)

8. Artificial Intelligence (AI) in Oil and Gas Market, By Region, 2019-2031, (US$ Bn)

  • Introduction
    • Market Share Analysis, By Sub-region, 2024 and 2031 (%)
    • Y-o-Y Growth Analysis, For Sub-region, 2024 -2031
    • Country Trends
  • North America
    • Introduction
    • Market Size and Forecast, and Y-o-Y Growth, By Application, 2024-2031, (US$ Bn)
    • Market Size and Forecast, and Y-o-Y Growth, By Component, 2024-2031, (US$ Bn)
    • Market Size and Forecast, and Y-o-Y Growth, By Product, 2024-2031, (US$ Bn)
    • Market Size and Forecast, and Y-o-Y Growth, By Country, 2024-2031, (US$ Bn)
  • U.S.
  • Canada
  • Europe
    • Introduction
    • Market Size and Forecast, and Y-o-Y Growth, By Application, 2024-2031,(US$ Bn)
    • Market Size and Forecast, and Y-o-Y Growth, By Component, 2024-2031, (US$ Bn)
    • Market Size and Forecast, and Y-o-Y Growth, By Product, 2024-2031, (US$ Bn)
    • Market Size and Forecast, and Y-o-Y Growth, By Country, 2024-2031, (US$ Bn)
  • Germany
  • U.K.
  • Spain
  • France
  • Italy
  • Russia
  • Rest of Europe
  • Asia Pacific
    • Introduction
    • Market Size and Forecast, and Y-o-Y Growth, By Application, 2024-2031,(US$ Bn)
    • Market Size and Forecast, and Y-o-Y Growth, By Component, 2024-2031, (US$ Bn)
    • Market Size and Forecast, and Y-o-Y Growth, By Product, 2024-2031, (US$ Bn)
    • Market Size and Forecast, and Y-o-Y Growth, By Country, 2023-2031, (US$ Bn)
  • China
  • India
  • Japan
  • South Korea
  • ASEAN
  • Rest of Asia Pacific
  • Latin America
    • Introduction
    • Market Size and Forecast, and Y-o-Y Growth, By Application, 2024-2031,(US$ Bn)
    • Market Size and Forecast, and Y-o-Y Growth, By Component, 2024-2031, (US$ Bn)
    • Market Size and Forecast, and Y-o-Y Growth, By Product, 2024-2031, (US$ Bn)
    • Market Size and Forecast, and Y-o-Y Growth, By Country, 2024-2031, (US$ Bn)
  • Brazil
  • Argentina
  • Mexico
  • Rest of Latin America
  • Middle East & Africa
    • Introduction
    • Market Size and Forecast, and Y-o-Y Growth, By Application, 2024-2031,(US$ Bn)
    • Market Size and Forecast, and Y-o-Y Growth, By Component, 2024-2031, (US$ Bn)
    • Market Size and Forecast, and Y-o-Y Growth, By Product, 2024-2031, (US$ Bn)
    • Market Size and Forecast, and Y-o-Y Growth, By Country/Sub-region, 2024-2031, (US$ Bn)
  • GCC Countries
  • Israel
  • South Africa
  • North Africa
  • Central Africa
  • Rest of Middle East

9. Competitive Landscape

  • Company Profile
    • Google
  • Company Highlights
  • Product Portfolio
  • Key Developments
  • Financial Performance
  • Strategies
    • IBM
  • Company Highlights
  • Product Portfolio
  • Key Highlights
  • Financial Performance
  • Strategies
    • SAS
  • Company Highlights
  • Product Portfolio
  • Key Highlights
  • Financial Performance
  • Strategies
    • Microsoft Corporation
  • Company Highlights
  • Product Portfolio
  • Key Highlights
  • Financial Performance
  • Strategies
    • Accenture Plc.
  • Company Highlights
  • Product Portfolio
  • Key Highlights
  • Financial Performance
  • Strategies
    • H20.ai.
  • Company Highlights
  • Product Portfolio
  • Key Highlights
  • Financial Performance
  • Strategies
    • Baidu, Inc.
  • Company Highlights
  • Product Portfolio
  • Key Highlights
  • Financial Performance
  • Strategies
    • Oracle Corporation
  • Company Highlights
  • Product Portfolio
  • Key Highlights
  • Financial Performance
  • Strategies
  • Analyst Views

10. Section

  • References
  • Research Methodology
  • About us