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石油和天然气人工智能市场 - 2023 年至 2028 年预测
市场调查报告书
商品编码
1302955

石油和天然气人工智能市场 - 2023 年至 2028 年预测

AI In Oil And Gas Market - Forecasts from 2023 to 2028
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

价格
简介目录

预计2021年石油和天然气领域人工智能市场规模为29.18亿美元，复合年增长率为23.97%，2028年将达到131.35亿美元。

由于石油和天然气行业是全球经济最重要的部门之一，因此在该行业公司的业务职能中采用人工智能将有助于解决与各个业务部门相关的困难和问题。得到解决。 从安全措施到石油开采过程，人工智能的采用可以降低人类风险并提高活动的生产力。 在石油和天然气市场引入人工智能将有助于勘探和发现新的或现有的储量，开发和自动化设备和设备软件，自动化石油生产和提取过程，并提供其他现场和场外服务。 人工智能在石油和天然气领域的采用始于过去十年，因此该市场正处于商业周期的扩展阶段，并且未来有几个增长机会。

市场驱动因素

石油和天然气行业产生的海量数据

石油和天然气行业以生成大量数据而闻名。 生成的数据通常没有得到充分分析，可能导致企业和行业错失潜在有益的见解和推导。 因此，可以使用人工智能对通过各种方法从公司内各个部门获得的数据进行处理和分析。 例如，壳牌的人工智能应用程序包括来自垃圾场的数据，以预测侵蚀和恶化并防止洩漏。 因此，历史和实际数据可用于预测未来趋势并优化当前时期的运营。

海上勘探机会

此前，由于技术和人类能力有限，无法充分探索和发现海底。 海洋机器人和人工智能的进步克服了这一限制。 人工智能机器人创新被用来探索石油和能源储备的可能存在，以及如何以生态和可持续的方式开采它们。 这增加了石油和天然气行业油田扩张的可能性。 例如，人工智能公司Abyss Solutions获得了325万美元的投资，用于自动化能源和石油领域的各种危险任务，包括海上勘探。 考虑到这些因素，石油和天然气市场的人工智能拥有强大的增长引擎，将推动市场在未来几年扩张。

数据隐私和安全问题以及对实施成本的担忧可能会阻碍人工智能在石油和天然气行业的发展。

然而，随着石油和天然气行业运营的自动化和数字化，存在数据隐私洩露和黑客攻击的风险。 石油和天然气行业生产的产品影响着世界各地的就业。 因此，如果公司的系统遭到黑客攻击并且内部数据和运营受到损害，公司可能会损失数十亿美元。 因此，石油和天然气人工智能市场的数据安全必须得到加强和强化，达到几乎不可渗透的程度，因为这些公司的风险很高。 此外，在企业流程中实施和采用人工智能和机器学习的成本将会增加。 由于这些原因，一些公司可能对引入自动化或人工智能犹豫不决。

市场开发：

  • 2023 年2 月，综合石油天然气公司沙特马可(Saudi Marco) 与埃森哲签署协议，利用埃森哲的机器学习、人工智能和其他软件服务来改进石油和天然气开采流程，帮助加快上下游活动的速度。
  • 2021 年 11 月，美国石油天然气公司壳牌公司宣布在壳牌与 C3 AI 等公司合作推出的开放人工智能计划中推出三项新应用。 壳牌的这些新应用程序使用数据分析和人工智能来发现趋势和模式，有效利用当前和历史数据，并改进与石油和能源行业相关的决策。

石油和天然气行业正在吸引北美地区的大规模人工智能投资，推动石油和天然气行业的数字化。

北美拥有许多提供基于人工智能的解决方案和服务的软件和技术公司，石油和天然气行业对更高效、更有效的人工智能解决方案的需求不断增长。 因此，全球各大石油天然气公司都在加速对人工智能的投资。 大多数为这些石油和天然气开采公司提供人工智能解决方案的公司都位于北美。 北美石油和天然气人工智能市场的知名公司包括 C3 ai、IBM、微软和谷歌 LLC。 这些公司正在与石油和天然气行业的顶尖公司合作，将人工智能数字化并应用到其职能和业务运营中。 这些公司不断发展人工智能技术，以便为客户提供更好的结果，并改进他们的产品和服务组合。 考虑到该公司在全球市场的增长和市场份额，北美石油和天然气人工智能市场可能在预测期内稳步增长。

内容

第一章简介

  • 市场概览
  • 市场定义
  • 调查范围
  • 市场细分
  • 货币
  • 先决条件
  • 基准年和预测年的时间表

第二章研究方法

  • 调查数据
  • 调查过程

第 3 章执行摘要

  • 研究亮点

第 4 章市场动态

  • 市场驱动因素
  • 市场製约因素
  • 波特五力分析
  • 行业价值链分析

第五章石油和天然气人工智能市场：按运营阶段划分

  • 简介
  • 上游
  • 中游
  • 下游

第六章石油和天然气人工智能市场：按应用划分

  • 简介
  • 表面分析
  • 缺陷检测
  • 钻孔和精加工
  • 集合/交通
  • 加工/精炼/维护
  • 其他

第 7 章石油和天然气人工智能市场：按地区划分

  • 简介
  • 北美
    • 美国
    • 加拿大
    • 墨西哥
  • 南美洲
    • 巴西
    • 阿根廷
    • 其他
  • 欧洲
    • 德国
    • 法国
    • 英国
    • 西班牙
    • 其他
  • 中东/非洲
    • 沙特阿拉伯
    • 阿拉伯联合酋长国
    • 南非
    • 其他
  • 亚太地区
    • 中国
    • 日本
    • 印度
    • 韩国
    • 印度尼西亚
    • 台湾
    • 其他

第8章竞争环境与分析

  • 主要公司及战略分析
  • 新兴公司和市场盈利能力
  • 合併、收购、协议和合作
  • 供应商竞争力矩阵

第9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 oil and gas market size was valued at US$2.918 billion in 2021 and is expected to grow at a CAGR of 23.97% to reach US$13.135 billion by 2028.

As the oil and gas industry is one of the most important sectors of the global economy, the adoption of Artificial Intelligence in the functioning of business of companies in this sector can help solve the difficulties and problems they face in relation to various departments of operation. From working on safety measures to the oil extraction process, AI can be adopted to reduce human risk and increase the productivity of the activity. Adopting AI in the oil and gas market helps explore and discover new or existing reserves, develop and automate equipment and device software, automate oil manufacture and extraction processes, and provide other on-field and off-field services. Since the adoption of AI in the oil and gas sector has begun in the last decade, it can be said that this market is in its expansion phase of the business cycle with several growth opportunities ahead.

Market Drivers

Vast amounts of data produced by the oil and gas industry

The oil and gas industry is recognized for generating vast data. The data generated is often not analyzed to its full potential, which means that the company and industry might be losing some insights and derivations that could be beneficial. Therefore, the data obtained using different techniques from different departments of the company can be processed and analyzed using Artificial Intelligence. For instance, an AI application by Shell Company includes data from collection sites to predict erosion and degradation and prevent leaks. Hence, historical and real data can be used to predict future trends and optimize operations for the current period.

Ocean exploration opportunities

Previously, due to limited technology and human incapacity, it was not possible to fully explore and discover ocean beds. Advancements in Marine Robotics and Artificial Intelligence have overcome this limitation. The innovation of AI robots is used to search through the possibility of the existence of oil and energy reserves and the methods of extracting them ecologically and sustainably. This increases the chances of field expansion for the oil and gas industry. For instance, Abyss Solution, an AI company, has received an investment of US$3.25 million to automate various risky operations in the energy and oil sector, including ocean exploration. Considering these factors, AI in the gas and oil market has strong growth engines to push the market toward expansion in the upcoming years.

The fear of data privacy and security issues and the cost of implementation could hinder the growth of AI in the oil and gas industry.

However, with the automation and digitalization of business operations in the oil and gas industry, there is a risk of data privacy violation and hacking. The oil and gas sector deals with a commodity that influences the working of the whole world. Therefore, if the systems are hacked, and the internal data and working of the company are threatened, the company could lose billions. Thus, the data security of AI in the oil and gas market must be strengthened and hardened to the extent that it becomes almost impenetrable since the stakes are high for such companies. Besides, the cost of implementing and adopting AI and Machine Learning into the company's processes is increased. For these reasons, some companies might be hesitant to complete automation and adoption of AI in their companies.

Market Developments:

  • In February 2023, Saudi Amarco, a universal Oil and Gas company, signed a deal with Accenture to use its Machine Learning, Artificial Intelligence, and other software services to help speed up the upstream and downstream activities of its oil and gas extraction processes.
  • In November 2021, Shell Company, a USA-based Oil and Gas company, launched three new applications on Open AI Initiative, launched by Shell's collaboration with C3 AI and other companies. These new offerings by Shell use data analytics and Artificial Intelligence to discover trends and patterns, utilize current and past data efficiently, and help in the decision-making for matters relating to the oil and energy industry.

The oil and gas industry is attracting significant AI investments in the North American region, fueling the digitalization of the oil and gas industry.

North America has numerous software and technology companies offering Artificial Intelligence based solutions and services, which has driven the demand for more efficient and effective AI solutions in the oil and gas industry. This, in turn, has spurred investment into AI for leading Oil and Gas companies across the globe. Most companies offering such AI solutions to these oil and gas extracting companies are from North America. A few prominent players in AI in the oil and gas market from North America are C3 ai, IBM, Microsoft, and Google LLC. These companies have collaborated with top oil and gas companies to digitalize and adopt AI in their functioning and business operations. They are constantly evolving with their AI technology to deliver better results to their client companies and improve their product and service portfolio. Keeping their growth and market share in the global market in mind, it is most likely that North American AI in the oil and gas market will experience a steady increase over the forecast period.

Market Segmentation:

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
  • Germany
  • France
  • United Kingdom
  • Spain
  • Others
  • Middle East and Africa
  • Saudi Arabia
  • UAE
  • South Africa
  • Other
  • 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

2. RESEARCH METHODOLOGY

  • 2.1. Research Data
  • 2.2. Research Process

3. EXECUTIVE SUMMARY

  • 3.1. Research Highlights

4. MARKET DYNAMICS

  • 4.1. Market Drivers
  • 4.2. Market Restraints
  • 4.3. Porter's Five Force 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

5. AI IN THE OIL AND GAS MARKET BY OPERATION

  • 5.1. Introduction
  • 5.2. Upstream
  • 5.3. Midstream
  • 5.4. Downstream

6. AI IN THE 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 THE OIL AND GAS MARKET BY GEOGRAPHY

  • 7.1. Introduction
  • 7.2. North America
    • 7.2.1. USA
    • 7.2.2. Canada
    • 7.2.3. Mexico
  • 7.3. South America
    • 7.3.1. Brazil
    • 7.3.2. Argentina
    • 7.3.3. Others
  • 7.4. Europe
    • 7.4.1. Germany
    • 7.4.2. France
    • 7.4.3. United Kingdom
    • 7.4.4. Spain
    • 7.4.5. Others
  • 7.5. Middle East And Africa
    • 7.5.1. Saudi Arabia
    • 7.5.2. UAE
    • 7.5.3. South Africa
    • 7.5.4. Other
  • 7.6. Asia Pacific
    • 7.6.1. China
    • 7.6.2. Japan
    • 7.6.3. India
    • 7.6.4. South Korea
    • 7.6.5. Indonesia
    • 7.6.6. Taiwan
    • 7.6.7. Others

8. COMPETITIVE ENVIRONMENT AND ANALYSIS

  • 8.1. Major Players and Strategy Analysis
  • 8.2. Emerging Players and Market Lucrativeness
  • 8.3. Mergers, Acquisitions, Agreements, and Collaborations
  • 8.4. Vendor Competitiveness Matrix

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