石油和天然氣數據貨幣化市場－全球產業規模、佔有率、趨勢、機會和預測，按方法、按部署模式、按應用、按地區和競爭進行細分，2020-2030 年預測

2024 年全球石油和天然氣數據貨幣化市場價值為 346.1 億美元，預計到 2030 年將達到 696 億美元，預測期內複合年成長率為 12.18%。

隨著企業越來越認知到資料作為戰略資產尚未開發的潛力，全球石油和天然氣數據貨幣化市場正在成為能源產業更廣泛的數位轉型的關鍵部分。石油和天然氣產業透過探勘、鑽井、生產、精煉和分銷業務產生大量結構化和非結構化資料。從歷史上看，這些資料大部分未被充分利用，僅用於營運報告目的。然而，隨著高級分析、人工智慧 (AI)、巨量資料平台和雲端運算的迅速普及，該行業現在正轉向資料貨幣化——直接利用資訊，將其出售或授權給第三方，或間接利用資訊來最佳化營運、增強決策、減少停機時間並創造新的收入來源。這種雙重方法正在推動市場顯著成長，尤其是在企業尋求應對價格波動、環境壓力和提高效率的需求等挑戰的情況下。

關鍵市場促進因素

感測器、數位基礎設施和即時數據採集的激增

進階分析、人工智慧、數位孿生和預測能力

主要市場挑戰

資料安全與網路安全風險

主要市場趨勢

人工智慧和機器學習的日益普及

目錄

第 1 章：產品概述

第2章：研究方法

第3章：執行摘要

第4章：顧客之聲

第5章：全球石油與天然氣資料貨幣化市場展望

• 市場規模和預測
  • 按價值
• 市場佔有率和預測
  • 按方法（直接資料貨幣化、間接資料貨幣化）
  • 依部署模式（本地、基於雲端）
  • 按應用（上游、中游、下游）
  • 按地區（北美、歐洲、南美、中東和非洲、亞太地區）
• 按公司分類（2024 年）
• 市場地圖

第6章：北美石油與天然氣資料貨幣化市場展望

• 市場規模和預測
• 市場佔有率和預測
• 北美：國家分析
  • 美國
  • 加拿大
  • 墨西哥

第7章：歐洲石油與天然氣資料貨幣化市場展望

• 市場規模和預測
• 市場佔有率和預測
• 歐洲：國家分析
  • 德國
  • 法國
  • 英國
  • 義大利
  • 西班牙

第8章：亞太地區石油天然氣數據貨幣化市場展望

• 市場規模和預測
• 市場佔有率和預測
• 亞太地區：國家分析
  • 中國
  • 印度
  • 日本
  • 韓國
  • 澳洲

第9章：中東和非洲石油和天然氣數據貨幣化市場展望

• 市場規模和預測
• 市場佔有率和預測
• 中東和非洲：國家分析
  • 沙烏地阿拉伯
  • 阿拉伯聯合大公國
  • 南非

第10章：南美石油與天然氣資料貨幣化市場展望

• 市場規模和預測
• 市場佔有率和預測
• 南美洲：國家分析
  • 巴西
  • 哥倫比亞
  • 阿根廷

第 11 章：市場動態

• 驅動程式
• 挑戰

第 12 章：市場趨勢與發展

• 合併與收購（如有）
• 產品發布（如有）
• 最新動態

第13章：公司簡介

• Halliburton
• Schlumberger
• Informatica
• SAP SE
• Oracle Corporation
• Accenture plc
• IBM Corporation
• EMC Corporation
• Microsoft Corporation
• Tata Consultancy Services

第 14 章：策略建議

第15章調查會社について,免責事項

The Global Oil And Gas Data Monetization Market was valued at USD 34.61 Billion in 2024 and is expected to reach USD 69.60 Billion by 2030 with a CAGR of 12.18% during the forecast period.

The global Oil and Gas Data Monetization Market is emerging as a pivotal segment within the broader digital transformation of the energy industry, as companies increasingly recognize the untapped potential of data as a strategic asset. The oil and gas sector generates massive volumes of structured and unstructured data through exploration, drilling, production, refining, and distribution operations. Historically, much of this data remained underutilized, serving only operational reporting purposes. However, with the rapid adoption of advanced analytics, artificial intelligence (AI), big data platforms, and cloud computing, the industry is now shifting toward data monetization-leveraging information either directly by selling or licensing it to third parties, or indirectly by utilizing it to optimize operations, enhance decision-making, reduce downtime, and create new revenue streams. This dual approach is fueling significant growth in the market, especially as organizations seek to counter challenges of price volatility, environmental pressures, and the need for efficiency gains.

Key Market Drivers

Proliferation of Sensors, Digital Infrastructure, and Real-Time Data Capture

The growing adoption of IoT sensors and real-time monitoring systems is a primary driver of oil and gas data monetization. Across the sector, more than 1.3 million sensors are currently deployed to track pressure, flow, and temperature in exploration and production assets. These sensors generate over 9.7 billion gigabytes of data annually, creating a vast pool of information that can be transformed into actionable insights and monetized services. Offshore rigs, numbering more than 14,000 globally, now transmit telemetry data via satellite or fiber to centralized data lakes, enabling continuous visibility into operations. Edge computing is also expanding, with more than 11,500 upstream sites processing data locally to reduce dependence on high-bandwidth transmission. Companies using real-time processing platforms report up to 37% improvements in operational efficiency, proving the tangible benefits of data-driven operations. This proliferation of digital infrastructure establishes the foundation for monetizing data by enhancing internal efficiency while simultaneously creating opportunities to commercialize operational insights and services to external stakeholders.

Advanced Analytics, AI, Digital Twins, and Predictive Capabilities

The rapid adoption of advanced analytics, AI, and machine learning is unlocking unprecedented opportunities for data monetization. In 2024 alone, more than 240 million labeled well-log and seismic datasets were used to train AI models that significantly improved drilling precision and reservoir understanding. Digital twin technology, now applied to over 37 major pipeline and refinery projects, integrates up to 150 million data points, helping operators cut inspection times by 29% and maintenance costs by 21%. Predictive maintenance powered by analytics has reduced unplanned downtime by 25% and trimmed overall maintenance expenditure by 15% for several operators. Real-time monitoring and forecasting models are achieving up to 93% accuracy in predicting pipeline flows and midstream logistics bottlenecks. Additionally, reservoir simulation platforms supported by AI have improved recovery rates by 5-7%, directly increasing the economic value of reserves. These advancements illustrate how analytics and AI convert massive raw data pools into monetizable insights, cost savings, and improved production outcomes.

Key Market Challenges

Data Security and Cybersecurity Risks

One of the most pressing challenges in the oil and gas data monetization market is data security. Oil and gas companies handle vast amounts of sensitive geological, production, and financial data, making them prime targets for cyberattacks. The increasing integration of IoT devices, cloud platforms, and cross-industry data exchanges exposes multiple vulnerabilities. In recent years, high-profile cyber incidents have highlighted the scale of risk, with ransomware attacks on pipeline networks and refineries disrupting operations for days. The growing adoption of real-time monitoring systems and digital twins adds more entry points for hackers, and a single breach can compromise millions of gigabytes of valuable exploration and production data. Moreover, compliance requirements around data privacy and security-such as GDPR and regional data sovereignty laws-place an additional burden on firms seeking to monetize their data. Companies must also deal with insider threats, as employees and contractors with access to critical data may misuse it. Ensuring robust encryption, secure APIs, and end-to-end monitoring requires significant investment, but many operators still lag in cybersecurity maturity. The financial and reputational risks of a data breach are enormous, as compromised data can lead to regulatory fines, contract cancellations, and loss of investor confidence. This security dilemma slows the pace of data monetization, as companies often hesitate to fully embrace external data sharing or licensing models out of fear that sensitive information could fall into the wrong hands. Thus, unless cybersecurity strategies evolve in parallel with monetization initiatives, the full potential of this market cannot be realized.

Key Market Trends

Growing Adoption of Artificial Intelligence and Machine Learning

Artificial intelligence and machine learning are reshaping data monetization strategies by enabling more accurate predictions, deeper insights, and automated decision-making. In drilling operations, AI models trained on millions of seismic and well-log datasets are achieving unprecedented accuracy in reservoir mapping and production forecasting. Machine learning is also driving predictive maintenance, helping operators anticipate equipment failures before they occur, thereby reducing downtime and maintenance costs. In the midstream sector, AI is optimizing pipeline monitoring and logistics, improving flow efficiency and preventing leaks. Downstream operators are using AI for refining optimization, pricing models, and demand forecasting, which enhance profitability. The monetization opportunity arises when companies not only use AI to improve their operations but also package AI-driven insights as commercial services for partners and third parties. Additionally, AI is being embedded into digital twin models, allowing companies to simulate and optimize operations in real time with data flowing from thousands of sensors. These capabilities reduce costs, improve safety, and enable companies to create new offerings such as predictive data services for external clients. The adoption of AI and machine learning is no longer experimental but central to monetization strategies, as companies increasingly recognize data as a strategic revenue-generating asset rather than a byproduct of operations.

Key Market Players

• Halliburton
• Schlumberger
• Informatica
• SAP SE
• Oracle Corporation
• Accenture plc
• IBM Corporation
• EMC Corporation
• Microsoft Corporation
• Tata Consultancy Services

Report Scope:

In this report, the Global Oil And Gas Data Monetization Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Oil And Gas Data Monetization Market, By Method:

• Direct Data Monetization
• Indirect Data Monetization

Oil And Gas Data Monetization Market, By Deployment Mode:

• On-Premises
• Cloud-Based

Oil And Gas Data Monetization Market, By Application:

• Upstream
• Midstream
• Downstream

Oil And Gas Data Monetization Market, By Region:

• North America
  • United States
  • Canada
  • Mexico
• Europe
  • Germany
  • France
  • United Kingdom
  • Italy
  • Spain
• South America
  • Brazil
  • Argentina
  • Colombia
• Asia-Pacific
  • China
  • India
  • Japan
  • South Korea
  • Australia
• Middle East & Africa
  • Saudi Arabia
  • UAE
  • South Africa

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global Oil And Gas Data Monetization Market.

Available Customizations:

Global Oil And Gas Data Monetization Market report with the given market data, Tech Sci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

• Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Product Overview

• 1.1. Market Definition
• 1.2. Scope of the Market
  • 1.2.1. Markets Covered
  • 1.2.2. Years Considered for Study
  • 1.2.3. Key Market Segmentations

2. Research Methodology

• 2.1. Objective of the Study
• 2.2. Baseline Methodology
• 2.3. Key Industry Partners
• 2.4. Major Association and Secondary Sources
• 2.5. Forecasting Methodology
• 2.6. Data Triangulation & Validation
• 2.7. Assumptions and Limitations

3. Executive Summary

• 3.1. Overview of the Market
• 3.2. Overview of Key Market Segmentations
• 3.3. Overview of Key Market Players
• 3.4. Overview of Key Regions/Countries
• 3.5. Overview of Market Drivers, Challenges, and Trends

4. Voice of Customer

5. Global Oil And Gas Data Monetization Market Outlook

• 5.1. Market Size & Forecast
  • 5.1.1. By Value
• 5.2. Market Share & Forecast
  • 5.2.1. By Method (Direct Data Monetization, Indirect Data Monetization)
  • 5.2.2. By Deployment Mode (On-Premises, Cloud-Based)
  • 5.2.3. By Application (Upstream, Midstream, Downstream)
  • 5.2.4. By Region (North America, Europe, South America, Middle East & Africa, Asia Pacific)
• 5.3. By Company (2024)
• 5.4. Market Map

6. North America Oil And Gas Data Monetization Market Outlook

• 6.1. Market Size & Forecast
  • 6.1.1. By Value
• 6.2. Market Share & Forecast
  • 6.2.1. By Method
  • 6.2.2. By Deployment Mode
  • 6.2.3. By Application
  • 6.2.4. By Country
• 6.3. North America: Country Analysis
  • 6.3.1. United States Oil And Gas Data Monetization Market Outlook
    • 6.3.1.1. Market Size & Forecast
      • 6.3.1.1.1. By Value
    • 6.3.1.2. Market Share & Forecast
      • 6.3.1.2.1. By Method
      • 6.3.1.2.2. By Deployment Mode
      • 6.3.1.2.3. By Application
  • 6.3.2. Canada Oil And Gas Data Monetization Market Outlook
    • 6.3.2.1. Market Size & Forecast
      • 6.3.2.1.1. By Value
    • 6.3.2.2. Market Share & Forecast
      • 6.3.2.2.1. By Method
      • 6.3.2.2.2. By Deployment Mode
      • 6.3.2.2.3. By Application
  • 6.3.3. Mexico Oil And Gas Data Monetization Market Outlook
    • 6.3.3.1. Market Size & Forecast
      • 6.3.3.1.1. By Value
    • 6.3.3.2. Market Share & Forecast
      • 6.3.3.2.1. By Method
      • 6.3.3.2.2. By Deployment Mode
      • 6.3.3.2.3. By Application

7. Europe Oil And Gas Data Monetization Market Outlook

• 7.1. Market Size & Forecast
  • 7.1.1. By Value
• 7.2. Market Share & Forecast
  • 7.2.1. By Method
  • 7.2.2. By Deployment Mode
  • 7.2.3. By Application
  • 7.2.4. By Country
• 7.3. Europe: Country Analysis
  • 7.3.1. Germany Oil And Gas Data Monetization Market Outlook
    • 7.3.1.1. Market Size & Forecast
      • 7.3.1.1.1. By Value
    • 7.3.1.2. Market Share & Forecast
      • 7.3.1.2.1. By Method
      • 7.3.1.2.2. By Deployment Mode
      • 7.3.1.2.3. By Application
  • 7.3.2. France Oil And Gas Data Monetization Market Outlook
    • 7.3.2.1. Market Size & Forecast
      • 7.3.2.1.1. By Value
    • 7.3.2.2. Market Share & Forecast
      • 7.3.2.2.1. By Method
      • 7.3.2.2.2. By Deployment Mode
      • 7.3.2.2.3. By Application
  • 7.3.3. United Kingdom Oil And Gas Data Monetization Market Outlook
    • 7.3.3.1. Market Size & Forecast
      • 7.3.3.1.1. By Value
    • 7.3.3.2. Market Share & Forecast
      • 7.3.3.2.1. By Method
      • 7.3.3.2.2. By Deployment Mode
      • 7.3.3.2.3. By Application
  • 7.3.4. Italy Oil And Gas Data Monetization Market Outlook
    • 7.3.4.1. Market Size & Forecast
      • 7.3.4.1.1. By Value
    • 7.3.4.2. Market Share & Forecast
      • 7.3.4.2.1. By Method
      • 7.3.4.2.2. By Deployment Mode
      • 7.3.4.2.3. By Application
  • 7.3.5. Spain Oil And Gas Data Monetization Market Outlook
    • 7.3.5.1. Market Size & Forecast
      • 7.3.5.1.1. By Value
    • 7.3.5.2. Market Share & Forecast
      • 7.3.5.2.1. By Method
      • 7.3.5.2.2. By Deployment Mode
      • 7.3.5.2.3. By Application

8. Asia Pacific Oil And Gas Data Monetization Market Outlook

• 8.1. Market Size & Forecast
  • 8.1.1. By Value
• 8.2. Market Share & Forecast
  • 8.2.1. By Method
  • 8.2.2. By Deployment Mode
  • 8.2.3. By Application
  • 8.2.4. By Country
• 8.3. Asia Pacific: Country Analysis
  • 8.3.1. China Oil And Gas Data Monetization Market Outlook
    • 8.3.1.1. Market Size & Forecast
      • 8.3.1.1.1. By Value
    • 8.3.1.2. Market Share & Forecast
      • 8.3.1.2.1. By Method
      • 8.3.1.2.2. By Deployment Mode
      • 8.3.1.2.3. By Application
  • 8.3.2. India Oil And Gas Data Monetization Market Outlook
    • 8.3.2.1. Market Size & Forecast
      • 8.3.2.1.1. By Value
    • 8.3.2.2. Market Share & Forecast
      • 8.3.2.2.1. By Method
      • 8.3.2.2.2. By Deployment Mode
      • 8.3.2.2.3. By Application
  • 8.3.3. Japan Oil And Gas Data Monetization Market Outlook
    • 8.3.3.1. Market Size & Forecast
      • 8.3.3.1.1. By Value
    • 8.3.3.2. Market Share & Forecast
      • 8.3.3.2.1. By Method
      • 8.3.3.2.2. By Deployment Mode
      • 8.3.3.2.3. By Application
  • 8.3.4. South Korea Oil And Gas Data Monetization Market Outlook
    • 8.3.4.1. Market Size & Forecast
      • 8.3.4.1.1. By Value
    • 8.3.4.2. Market Share & Forecast
      • 8.3.4.2.1. By Method
      • 8.3.4.2.2. By Deployment Mode
      • 8.3.4.2.3. By Application
  • 8.3.5. Australia Oil And Gas Data Monetization Market Outlook
    • 8.3.5.1. Market Size & Forecast
      • 8.3.5.1.1. By Value
    • 8.3.5.2. Market Share & Forecast
      • 8.3.5.2.1. By Method
      • 8.3.5.2.2. By Deployment Mode
      • 8.3.5.2.3. By Application

9. Middle East & Africa Oil And Gas Data Monetization Market Outlook

• 9.1. Market Size & Forecast
  • 9.1.1. By Value
• 9.2. Market Share & Forecast
  • 9.2.1. By Method
  • 9.2.2. By Deployment Mode
  • 9.2.3. By Application
  • 9.2.4. By Country
• 9.3. Middle East & Africa: Country Analysis
  • 9.3.1. Saudi Arabia Oil And Gas Data Monetization Market Outlook
    • 9.3.1.1. Market Size & Forecast
      • 9.3.1.1.1. By Value
    • 9.3.1.2. Market Share & Forecast
      • 9.3.1.2.1. By Method
      • 9.3.1.2.2. By Deployment Mode
      • 9.3.1.2.3. By Application
  • 9.3.2. UAE Oil And Gas Data Monetization Market Outlook
    • 9.3.2.1. Market Size & Forecast
      • 9.3.2.1.1. By Value
    • 9.3.2.2. Market Share & Forecast
      • 9.3.2.2.1. By Method
      • 9.3.2.2.2. By Deployment Mode
      • 9.3.2.2.3. By Application
  • 9.3.3. South Africa Oil And Gas Data Monetization Market Outlook
    • 9.3.3.1. Market Size & Forecast
      • 9.3.3.1.1. By Value
    • 9.3.3.2. Market Share & Forecast
      • 9.3.3.2.1. By Method
      • 9.3.3.2.2. By Deployment Mode
      • 9.3.3.2.3. By Application

10. South America Oil And Gas Data Monetization Market Outlook

• 10.1. Market Size & Forecast
  • 10.1.1. By Value
• 10.2. Market Share & Forecast
  • 10.2.1. By Method
  • 10.2.2. By Deployment Mode
  • 10.2.3. By Application
  • 10.2.4. By Country
• 10.3. South America: Country Analysis
  • 10.3.1. Brazil Oil And Gas Data Monetization Market Outlook
    • 10.3.1.1. Market Size & Forecast
      • 10.3.1.1.1. By Value
    • 10.3.1.2. Market Share & Forecast
      • 10.3.1.2.1. By Method
      • 10.3.1.2.2. By Deployment Mode
      • 10.3.1.2.3. By Application
  • 10.3.2. Colombia Oil And Gas Data Monetization Market Outlook
    • 10.3.2.1. Market Size & Forecast
      • 10.3.2.1.1. By Value
    • 10.3.2.2. Market Share & Forecast
      • 10.3.2.2.1. By Method
      • 10.3.2.2.2. By Deployment Mode
      • 10.3.2.2.3. By Application
  • 10.3.3. Argentina Oil And Gas Data Monetization Market Outlook
    • 10.3.3.1. Market Size & Forecast
      • 10.3.3.1.1. By Value
    • 10.3.3.2. Market Share & Forecast
      • 10.3.3.2.1. By Method
      • 10.3.3.2.2. By Deployment Mode
      • 10.3.3.2.3. By Application

11. Market Dynamics

• 11.1. Drivers
• 11.2. Challenges

12. Market Trends and Developments

• 12.1. Merger & Acquisition (If Any)
• 12.2. Product Launches (If Any)
• 12.3. Recent Developments

13. Company Profiles

• 13.1. Halliburton
  • 13.1.1. Business Overview
  • 13.1.2. Key Revenue and Financials
  • 13.1.3. Recent Developments
  • 13.1.4. Key Personnel
  • 13.1.5. Key Product/Services Offered
• 13.2. Schlumberger
• 13.3. Informatica
• 13.4. SAP SE
• 13.5. Oracle Corporation
• 13.6. Accenture plc
• 13.7. IBM Corporation
• 13.8. EMC Corporation
• 13.9. Microsoft Corporation
• 13.10. Tata Consultancy Services

14. Strategic Recommendations

15. About Us & Disclaimer