석유 및 가스 데이터 수익화 시장 : 세계 산업 규모, 점유율, 동향, 기회, 예측 - 방법별, 전개 방식별, 용도별, 지역별, 경쟁별(2020-2030년)
Oil And Gas Data Monetization Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Method, By Deployment Mode, By Application, By Region & Competition, 2020-2030F
상품코드:1812186
리서치사:TechSci Research
발행일:2025년 09월
페이지 정보:영문 185 Pages
라이선스 & 가격 (부가세 별도)
ㅁ Add-on 가능: 고객의 요청에 따라 일정한 범위 내에서 Customization이 가능합니다. 자세한 사항은 문의해 주시기 바랍니다.
한글목차
세계의 석유 및 가스 데이터 수익화 시장 규모는 2024년에 346억 1,000만 달러로 평가되었으며, 예측 기간 동안 CAGR 12.18%로 2030년까지 696억 달러에 달할 것으로 예측됩니다.
시장 개요
예측 기간
2026-2030년
시장 규모 : 2024년
346억 1,000만 달러
시장 규모 : 2030년
696억 달러
CAGR : 2025-2030년
12.18%
급성장 부문
간접적 데이터 수익화
최대 시장
북미
세계 석유 및 가스 데이터 수익화 시장은 에너지 산업의 광범위한 디지털 전환에서 매우 중요한 분야로 부상하고 있습니다. 석유 및 가스 부문은 탐사, 시추, 생산, 정제, 유통 업무를 통해 대량의 정형 및 비정형 데이터를 생성하고 있습니다. 그동안 이러한 데이터는 충분히 활용되지 못하고 업무 보고용으로만 사용되어 왔습니다. 그러나 고급 분석, 인공지능(AI), 빅데이터 플랫폼, 클라우드 컴퓨팅의 급속한 보급과 함께 업계는 현재 데이터 수익화로 전환하고 있습니다. 즉, 제3자 판매 및 라이선싱을 통해 직접적으로 정보를 활용하거나, 업무 최적화, 의사결정 강화, 다운타임 감소, 새로운 수익원 창출에 활용함으로써 간접적으로 정보를 활용합니다. 이 두 가지 접근 방식은 특히 기업들이 가격 변동, 환경적 압력, 효율성의 필요성과 같은 과제에 대응하기 위해 노력하는 가운데 시장의 큰 성장을 촉진하고 있습니다.
주요 시장 촉진요인
센서, 디지털 인프라, 실시간 데이터 수집의 대중화
고급 분석, AI, 디지털 트윈, 예측 기능, 예측 기능
주요 시장 과제
데이터 보안과 사이버 보안 리스크
주요 시장 동향
인공지능과 머신러닝 도입 확대
목차
제1장 제품 개요
제2장 조사 방법
제3장 주요 요약
제4장 고객의 소리
제5장 세계의 석유 및 가스 데이터 수익화 시장 전망
시장 규모 및 예측
금액별
시장 점유율과 예측
방법별(직접 데이터 수익화, 간접 데이터 수익화)
전개 방식별(온프레미스, 클라우드 기반)
용도별(업스트림, 미드스트림, 다운스트림)
지역별(북미, 유럽, 남미, 중동 및 아프리카, 아시아태평양)
기업별(2024년)
시장 맵
제6장 북미의 석유 및 가스 데이터 수익화 시장 전망
시장 규모 및 예측
시장 점유율과 예측
북미 : 국가별 분석
미국
캐나다
멕시코
제7장 유럽의 석유 및 가스 데이터 수익화 시장 전망
시장 규모 및 예측
시장 점유율과 예측
유럽 : 국가별 분석
독일
프랑스
영국
이탈리아
스페인
제8장 아시아태평양의 석유 및 가스 데이터 수익화 시장 전망
시장 규모 및 예측
시장 점유율과 예측
아시아태평양 : 국가별 분석
중국
인도
일본
한국
호주
제9장 중동 및 아프리카의 석유 및 가스 데이터 수익화 시장 전망
시장 규모 및 예측
시장 점유율과 예측
중동 및 아프리카 : 국가별 분석
사우디아라비아
아랍에미리트
남아프리카공화국
제10장 남미의 석유 및 가스 데이터 수익화 시장 전망
시장 규모 및 예측
시장 점유율과 예측
남미 : 국가별 분석
브라질
콜롬비아
아르헨티나
제11장 시장 역학
성장 촉진요인
과제
제12장 시장 동향과 발전
인수합병
제품 출시
최근 동향
제13장 기업 개요
Halliburton
Schlumberger
Informatica
SAP SE
Oracle Corporation
Accenture plc
IBM Corporation
EMC Corporation
Microsoft Corporation
Tata Consultancy Services
제14장 전략적 제안
제15장 조사 회사 소개 및 면책사항
KSM
영문 목차
영문목차
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.
Market Overview
Forecast Period
2026-2030
Market Size 2024
USD 34.61 Billion
Market Size 2030
USD 69.60 Billion
CAGR 2025-2030
12.18%
Fastest Growing Segment
Indirect Data Monetization
Largest Market
North America
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
