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石油和天然氣人工智能市場 - 2023 年至 2028 年預測
市場調查報告書
商品編碼
1302955

石油和天然氣人工智能市場 - 2023 年至 2028 年預測

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個工作天內

價格
簡介目錄

預計2021年石油和天然氣領域人工智能市場規模為29.18億美元，複合年增長率為23.97%，2028年將達到131.35億美元。

由於石油和天然氣行業是全球經濟最重要的部門之一，因此在該行業公司的業務職能中採用人工智能將有助於解決與各個業務部門相關的困難和問題。得到解決。 從安全措施到石油開採過程，人工智能的採用可以降低人類風險並提高活動的生產力。 在石油和天然氣市場引入人工智能將有助於勘探和發現新的或現有的儲量，開發和自動化設備和設備軟件，自動化石油生產和提取過程，並提供其他現場和場外服務。 人工智能在石油和天然氣領域的採用始於過去十年，因此該市場正處於商業周期的擴展階段，並且未來有幾個增長機會。

市場驅動因素

石油和天然氣行業產生的海量數據

石油和天然氣行業以生成大量數據而聞名。 生成的數據通常沒有得到充分分析，可能導致企業和行業錯失潛在有益的見解和推導。 因此，可以使用人工智能對通過各種方法從公司內各個部門獲得的數據進行處理和分析。 例如，殼牌的人工智能應用程序包括來自垃圾場的數據，以預測侵蝕和惡化並防止洩漏。 因此，歷史和實際數據可用於預測未來趨勢並優化當前時期的運營。

海上勘探機會

此前，由於技術和人類能力有限，無法充分探索和發現海底。 海洋機器人和人工智能的進步克服了這一限制。 人工智能機器人創新被用來探索石油和能源儲備的可能存在，以及如何以生態和可持續的方式開採它們。 這增加了石油和天然氣行業油田擴張的可能性。 例如，人工智能公司Abyss Solutions獲得了325萬美元的投資，用於自動化能源和石油領域的各種危險任務，包括海上勘探。 考慮到這些因素，石油和天然氣市場的人工智能擁有強大的增長引擎，將推動市場在未來幾年擴張。

數據隱私和安全問題以及對實施成本的擔憂可能會阻礙人工智能在石油和天然氣行業的發展。

然而，隨著石油和天然氣行業運營的自動化和數字化，存在數據隱私洩露和黑客攻擊的風險。 石油和天然氣行業生產的產品影響著世界各地的就業。 因此，如果公司的系統遭到黑客攻擊並且內部數據和運營受到損害，公司可能會損失數十億美元。 因此，石油和天然氣人工智能市場的數據安全必須得到加強和強化，達到幾乎不可滲透的程度，因為這些公司的風險很高。 此外，在企業流程中實施和採用人工智能和機器學習的成本將會增加。 由於這些原因，一些公司可能對引入自動化或人工智能猶豫不決。

市場開發：

  • 2023 年2 月，綜合石油天然氣公司沙特馬可(Saudi Marco) 與埃森哲簽署協議，利用埃森哲的機器學習、人工智能和其他軟件服務來改進石油和天然氣開採流程，幫助加快上下游活動的速度。
  • 2021 年 11 月，美國石油天然氣公司殼牌公司宣佈在殼牌與 C3 AI 等公司合作推出的開放人工智能計劃中推出三項新應用。 殼牌的這些新應用程序使用數據分析和人工智能來發現趨勢和模式，有效利用當前和歷史數據，並改進與石油和能源行業相關的決策。

石油和天然氣行業正在吸引北美地區的大規模人工智能投資，推動石油和天然氣行業的數字化。

北美擁有許多提供基於人工智能的解決方案和服務的軟件和技術公司，石油和天然氣行業對更高效、更有效的人工智能解決方案的需求不斷增長。 因此，全球各大石油天然氣公司都在加速對人工智能的投資。 大多數為這些石油和天然氣開採公司提供人工智能解決方案的公司都位於北美。 北美石油和天然氣人工智能市場的知名公司包括 C3 ai、IBM、微軟和谷歌 LLC。 這些公司正在與石油和天然氣行業的頂尖公司合作，將人工智能數字化並應用到其職能和業務運營中。 這些公司不斷發展人工智能技術，以便為客戶提供更好的結果，並改進他們的產品和服務組合。 考慮到該公司在全球市場的增長和市場份額，北美石油和天然氣人工智能市場可能在預測期內穩步增長。

內容

第一章簡介

  • 市場概覽
  • 市場定義
  • 調查範圍
  • 市場細分
  • 貨幣
  • 先決條件
  • 基準年和預測年的時間表

第二章研究方法

  • 調查數據
  • 調查過程

第 3 章執行摘要

  • 研究亮點

第 4 章市場動態

  • 市場驅動因素
  • 市場製約因素
  • 波特五力分析
  • 行業價值鏈分析

第五章石油和天然氣人工智能市場：按運營階段劃分

  • 簡介
  • 上游
  • 中游
  • 下游

第六章石油和天然氣人工智能市場：按應用劃分

  • 簡介
  • 表面分析
  • 缺陷檢測
  • 鑽孔和精加工
  • 集合/交通
  • 加工/精煉/維護
  • 其他

第 7 章石油和天然氣人工智能市場：按地區劃分

  • 簡介
  • 北美
    • 美國
    • 加拿大
    • 墨西哥
  • 南美洲
    • 巴西
    • 阿根廷
    • 其他
  • 歐洲
    • 德國
    • 法國
    • 英國
    • 西班牙
    • 其他
  • 中東/非洲
    • 沙特阿拉伯
    • 阿拉伯聯合酋長國
    • 南非
    • 其他
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 韓國
    • 印度尼西亞
    • 台灣
    • 其他

第8章競爭環境與分析

  • 主要公司及戰略分析
  • 新興公司和市場盈利能力
  • 合併、收購、協議和合作
  • 供應商競爭力矩陣

第9章公司簡介

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