Global Oil and Gas Data Monetization Market, By Method (Direct Data Monetization, Indirect Data Monetization), Component (Data-as-a-service, Professional Services, Software/Platform), Application (Upstream, Midstream, Downstream), E&P Lifecycle (Exploration, Development, Production), Oil Companies (National Oil Companies (NOCs), Independent Oil Companies (IOCs), National Data Repositories (NDRs), Oil and Gas Service Companies), Country (U.S., Canada, Mexico, Brazil, Argentina, Rest of South America, Germany, Italy, U.K., France, Spain, Netherlands, Belgium, Switzerland, Turkey, Russia, Rest of Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific, Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa) Industry Trends and Forecast to 2028.
Market Analysis and Insights: Global Oil and Gas Data Monetization Market
The oil and gas data monetization market is expected to witness market growth at a rate of 15.7% in the forecast period of 2021 to 2028. Data Bridge Market Research report on oil and gas data monetization market provides analysis and insights regarding the various factors expected to be prevalent throughout the forecast period while providing their impacts on the market’s growth. The rise in oil and gas industry globally is escalating the growth of oil and gas data monetization market.
- Oil and gas companies are continuously the large volume and variety of data into intelligence for enhanced asset productivity. To derive the value out of unstructured data generated from sensors present in the oil field, real-time analysis is used. Predictive and prescriptive analytics are highly deployed in oil and gas companies to earn money and minimize expenses by turning this data into valuable assets.
The increase in the number of oil and gas companies across the globe acts as one of the major factors driving the growth of oil and gas data monetization market. The rise in the adoption of the big data technologies to collect, manage, and increase new insights, and increase in demand for data monetization technologies that can assist key players in optimizing their business operations, and improving their competitive edge accelerate the market growth. The advent of open standards and centralized data management for seamless integration and operation across the number of pipeline operation systems, and high usage of these operation systems such as simulation, measurement and asset management further influence the market. Additionally, increase system availability, rapid digitization, rise in the adoption of Internet of things and huge amounts of data generated positively affect the oil and gas data monetization market. Furthermore, increase in adoption of AI for data processing extend profitable opportunities to the market players in the forecast period of 2021 to 2028.
- On the other hand, varying structure of regulatory policies and lack of awareness regarding the requirement of the interventions are expected to obstruct the market growth. Increase in complexities in data structures and concerns regarding privacy and data are projected to challenge the oil and gas data monetization market in the forecast period of 2021-2028.
This oil and gas data monetization market report provides details of new recent developments, trade regulations, import export analysis, production analysis, value chain optimization, market share, impact of domestic and localized market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographic expansions, technological innovations in the market. To gain more info on oil and gas data monetization market contact Data Bridge Market Research for an Analyst Brief, our team will help you take an informed market decision to achieve market growth.
Global Oil and Gas Data Monetization Market Scope and Market Size
The oil and gas data monetization market is segmented on the basis of method, component, application, E&P lifecycle and oil companies. The growth among segments helps you analyze niche pockets of growth and strategies to approach the market and determine your core application areas and the difference in your target markets.
- On the basis of method, the oil and gas data monetization market is segmented into direct data monetization and indirect data monetization.
- On the basis of component, the oil and gas data monetization market is segmented into data-as-a-service, professional Services, and software platform.
- On the basis of application, the oil and gas data monetization market is segmented into upstream, midstream and downstream.
- On the basis of E&P Lifecycle, the oil and gas data monetization market is segmented into exploration, development and production.
- On the basis of Oil Companies, the oil and gas data monetization market is segmented into National Oil Companies (NOCs), Independent Oil Companies (IOCs), National Data Repositories (NDRs) and Oil and Gas Service Companies.
Oil and Gas Data Monetization Market Country Level Analysis
The oil and gas data monetization market is analyzed and market size, volume information is provided by country, method, component, application, E&P lifecycle and oil companies as referenced above.
The countries covered in the oil and gas data monetization market report are the U.S., Canada and Mexico in North America, Brazil, Argentina and Rest of South America as part of South America, Germany, Italy, U.K., France, Spain, Netherlands, Belgium, Switzerland, Turkey, Russia, Rest of Europe in Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA).
North America dominates the oil and gas data monetization market due to the increasing oil production, availability of necessary infrastructure, and use of indirect data monetization solutions within the region. Asia-Pacific is expected to witness highest growth during the forecast period of 2021 to 2028 because of the rising investments in the E&P sector.
The country section of the report also provides individual market impacting factors and changes in regulation in the market domestically that impacts the current and future trends of the market. Data points like down-stream and upstream value chain analysis, technical trends and porter's five forces analysis, case studies are some of the pointers used to forecast the market scenario for individual countries. Also, the presence and availability of global brands and their challenges faced due to large or scarce competition from local and domestic brands, impact of domestic tariffs and trade routes are considered while providing forecast analysis of the country data.
Competitive Landscape and Oil and Gas Data Monetization Market Share Analysis
The oil and gas data monetization market competitive landscape provides details by competitor. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, regional presence, company strengths and weaknesses, product launch, product width and breadth, application dominance. The above data points provided are only related to the companies’ focus related to oil and gas data monetization market.
The major players covered in the oil and gas data monetization market report are Adastra, CellOS Software Ltd, Connectiva Analytics and Insights Ltd., Dawex Systems, Infosys Limited, ComViva, MNUBO, NETSCOUT, Paxata, Inc., Optiva Inc., SQLstream, Inc., Google, IBM, 101 data Solutions, Accenture, Monetize,Accenture, ALC, Optiva Inc., and SAP SE, among other domestic and global players. Market share data is available for global, North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South America separately. DBMR analysts understand competitive strengths and provide competitive analysis for each competitor separately.
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Table of Content
1 INTRODUCTION
1.1 OBJECTIVES OF THE STUDY
1.2 MARKET DEFINITION
1.3 OVERVIEW OF GLOBAL OIL AND GAS DATA MONETIZATION MARKET
1.4 CURRENCY AND PRICING
1.5 LIMITATION
1.6 MARKETS COVERED
2 MARKET SEGMENTATION
2.1 KEY TAKEAWAYS
2.2 ARRIVING AT THE GLOBAL OIL AND GAS DATA MONETIZATION MARKET
2.3 VENDOR POSITIONING GRID
2.4 TECHNOLOGY LIFE LINE CURVE
2.5 MARKET GUIDE
2.6 MULTIVARIATE MODELLING
2.7 TOP TO BOTTOM ANALYSIS
2.8 STANDARDS OF MEASUREMENT
2.9 VENDOR SHARE ANALYSIS
2.1 DATA POINTS FROM KEY PRIMARY INTERVIEWS
2.11 DATA POINTS FROM KEY SECONDARY DATABASES
2.12 GLOBAL OIL AND GAS DATA MONETIZATION MARKET : RESEARCH SNAPSHOT
2.13 ASSUMPTIONS
3 MARKET OVERVIEW
3.1 DRIVERS
3.2 RESTRAINTS
3.3 OPPORTUNITIES
3.4 CHALLENGES
4 EXECUTIVE SUMMARY
5 PREMIUM INSIGHTS
5.1 IMPORTANTANCE OF DATA MONETIZATION IN OIL & GAS INDUSTRY
5.2 BARRIERS TO DATA MONETIZATION
5.3 FUTURE WITH DATA MONETIZATION
5.4 SUPPLY CHAIN ANALYSIS
5.5 PATENT ANALYSIS
5.6 TECHNOLOGY ANALYSIS
5.7 TARIFF AND REGULATORY LANDSCAPE
5.8 USE CASES
6 GLOBAL OIL AND GAS DATA MONETIZATION MARKET, BY COMPONENT
6.1 OVERVIEW
6.2 DATA AS A SERVICE
6.3 PROFESSIONAL SERVICES
6.4 PLATFORM/SOFTWARE
7 GLOBAL OIL AND GAS DATA MONETIZATION MARKET, BY METHOD
7.1 OVERVIEW
7.2 INDIRECT DATA MONETIZATION
7.3 DIRECT DATA MONETIZATION
8 GLOBAL OIL AND GAS DATA MONETIZATION MARKET, BY E&P LIFECYCLE
8.1 OVERVIEW
8.2 EXPLORATION
8.3 DEVELOPMENT
8.4 PRODUCTION
9 GLOBAL OIL AND GAS DATA MONETIZATION MARKET, BY APPLICATION
9.1 OVERVIEW
9.2 UPSTREAM
9.2.1 CONVENTIONAL
9.2.2 UNCONVENTIONAL
9.3 MIDSTREAM
9.4 DOWNSTREAM
10 GLOBAL OIL AND GAS DATA MONETIZATION MARKET, BY END-USER
10.1 OVERVIEW
10.2 NATIONAL OIL COMPANIES (NOCS)
10.2.1 BY COMPONENT
10.2.1.1. DATA AS A SERVICE
10.2.1.2. PROFESSIONAL SERVICES
10.2.1.3. PLATFORM/SOFTWARE
10.2.2 BY METHOD
10.2.2.1. INDIRECT DATA MONETIZATION
10.2.2.2. DIRECT DATA MONETIZATION
10.3 INDEPENDENT OIL COMPANIES (IOCS)
10.3.1 BY COMPONENT
10.3.1.1. DATA AS A SERVICE
10.3.1.2. PROFESSIONAL SERVICES
10.3.1.3. PLATFORM/SOFTWARE
10.3.2 BY METHOD
10.3.2.1. INDIRECT DATA MONETIZATION
10.3.2.2. DIRECT DATA MONETIZATION
10.4 NATIONAL DATA REPOSITORIES (NDRS)
10.4.1 BY COMPONENT
10.4.1.1. DATA AS A SERVICE
10.4.1.2. PROFESSIONAL SERVICES
10.4.1.3. PLATFORM/SOFTWARE
10.4.2 BY METHOD
10.4.2.1. INDIRECT DATA MONETIZATION
10.4.2.2. DIRECT DATA MONETIZATION
10.5 OIL AND GAS SERVICE COMPANIES
10.5.1 BY COMPONENT
10.5.1.1. DATA AS A SERVICE
10.5.1.2. PROFESSIONAL SERVICES
10.5.1.3. PLATFORM/SOFTWARE
10.5.2 BY METHOD
10.5.2.1. INDIRECT DATA MONETIZATION
10.5.2.2. DIRECT DATA MONETIZATION
11 GLOBAL OIL AND GAS DATA MONETIZATION MARKET, BY REGION
11.1 GLOBAL OIL AND GAS DATA MONETIZATION MARKET, (ALL SEGMENTATION PROVIDED ABOVE IS REPRESENTED IN THIS CHAPTER BY COUNTRY)
11.1.1 NORTH AMERICA
11.1.1.1. U.S.
11.1.1.2. CANADA
11.1.1.3. MEXICO
11.1.2 EUROPE
11.1.2.1. GERMANY
11.1.2.2. FRANCE
11.1.2.3. U.K.
11.1.2.4. ITALY
11.1.2.5. SPAIN
11.1.2.6. RUSSIA
11.1.2.7. TURKEY
11.1.2.8. BELGIUM
11.1.2.9. NETHERLANDS
11.1.2.10. SWITZERLAND
11.1.2.11. SWEDEN
11.1.2.12. POLAND
11.1.2.13. FINLAND
11.1.2.14. NORWAY
11.1.2.15. DENMARK
11.1.2.16. REST OF EUROPE
11.1.3 ASIA PACIFIC
11.1.3.1. JAPAN
11.1.3.2. CHINA
11.1.3.3. SOUTH KOREA
11.1.3.4. INDIA
11.1.3.5. AUSTRALIA
11.1.3.6. SINGAPORE
11.1.3.7. THAILAND
11.1.3.8. MALAYSIA
11.1.3.9. INDONESIA
11.1.3.10. PHILIPPINES
11.1.3.11. VIETNAM
11.1.3.12. NEW ZEALAND
11.1.3.13. TAIWAN
11.1.3.14. REST OF ASIA PACIFIC
11.1.4 SOUTH AMERICA
11.1.4.1. BRAZIL
11.1.4.2. ARGENTINA
11.1.4.3. REST OF SOUTH AMERICA
11.1.5 MIDDLE EAST AND AFRICA
11.1.5.1. SOUTH AFRICA
11.1.5.2. EGYPT
11.1.5.3. SAUDI ARABIA
11.1.5.4. U.A.E.
11.1.5.5. ISRAEL
11.1.5.6. BAHRAIN
11.1.5.7. KUWAIT
11.1.5.8. OMAN
11.1.5.9. QATAR
11.1.5.10. REST OF MIDDLE EAST AND AFRICA
11.2 KEY PRIMARY INSIGHTS: BY MAJOR COUNTRIES
12 GLOBAL OIL AND GAS DATA MONETIZATION MARKET,COMPANY LANDSCAPE
12.1 COMPANY SHARE ANALYSIS: GLOBAL
12.2 COMPANY SHARE ANALYSIS: NORTH AMERICA
12.3 COMPANY SHARE ANALYSIS: EUROPE
12.4 COMPANY SHARE ANALYSIS: ASIA PACIFIC
12.5 MERGERS & ACQUISITIONS
12.6 NEW PRODUCT DEVELOPMENT & APPROVALS
12.7 EXPANSIONS
12.8 REGULATORY CHANGES
12.9 PARTNERSHIP AND OTHER STRATEGIC DEVELOPMENTS
13 GLOBAL OIL AND GAS DATA MONETIZATION MARKET, SWOT ANALYSIS
14 GLOBAL OIL AND GAS DATA MONETIZATION MARKET, COMPANY PROFILE
14.1 ORACLE
14.1.1 COMPANY OVERVIEW
14.1.2 REVENUE ANALYSIS
14.1.3 PRODUCT PORTFOLIO
14.1.4 GEOGRAPHIC PRESENCE
14.1.5 RECENT DEVELOPMENTS
14.2 MICROSOFT
14.2.1 COMPANY OVERVIEW
14.2.2 REVENUE ANALYSIS
14.2.3 PRODUCT PORTFOLIO
14.2.4 GEOGRAPHIC PRESENCE
14.2.5 RECENT DEVELOPMENTS
14.3 SALESFORCE
14.3.1 COMPANY OVERVIEW
14.3.2 REVENUE ANALYSIS
14.3.3 PRODUCT PORTFOLIO
14.3.4 GEOGRAPHIC PRESENCE
14.3.5 RECENT DEVELOPMENTS
14.4 SAS
14.4.1 COMPANY OVERVIEW
14.4.2 REVENUE ANALYSIS
14.4.3 PRODUCT PORTFOLIO
14.4.4 GEOGRAPHIC PRESENCE
14.4.5 RECENT DEVELOPMENTS
14.5 TIBCO SOFTWARE
14.5.1 COMPANY OVERVIEW
14.5.2 REVENUE ANALYSIS
14.5.3 PRODUCT PORTFOLIO
14.5.4 GEOGRAPHIC PRESENCE
14.5.5 RECENT DEVELOPMENTS
14.6 OSISOFT LLC
14.6.1 COMPANY OVERVIEW
14.6.2 REVENUE ANALYSIS
14.6.3 PRODUCT PORTFOLIO
14.6.4 GEOGRAPHIC PRESENCE
14.6.5 RECENT DEVELOPMENTS
14.7 SAP
14.7.1 COMPANY OVERVIEW
14.7.2 REVENUE ANALYSIS
14.7.3 PRODUCT PORTFOLIO
14.7.4 GEOGRAPHIC PRESENCE
14.7.5 RECENT DEVELOPMENTS
14.8 ACCENTURE
14.8.1 COMPANY OVERVIEW
14.8.2 REVENUE ANALYSIS
14.8.3 PRODUCT PORTFOLIO
14.8.4 GEOGRAPHIC PRESENCE
14.8.5 RECENT DEVELOPMENTS
14.9 SCHLUMBERGER
14.9.1 COMPANY OVERVIEW
14.9.2 REVENUE ANALYSIS
14.9.3 PRODUCT PORTFOLIO
14.9.4 GEOGRAPHIC PRESENCE
14.9.5 RECENT DEVELOPMENTS
14.1 VIRTUSA
14.10.1 COMPANY OVERVIEW
14.10.2 PRODUCT PORTFOLIO
14.10.3 GEOGRAPHIC PRESENCE
14.10.4 RECENT DEVELOPMENTS
14.11 HALLIBURTON
14.11.1 COMPANY OVERVIEW
14.11.2 REVENUE ANALYSIS
14.11.3 PRODUCT PORTFOLIO
14.11.4 GEOGRAPHIC PRESENCE
14.11.5 RECENT DEVELOPMENTS
14.12 INFOR
14.12.1 COMPANY OVERVIEW
14.12.2 REVENUE ANALYSIS
14.12.3 PRODUCT PORTFOLIO
14.12.4 GEOGRAPHIC PRESENCE
14.12.5 RECENT DEVELOPMENTS
14.13 EMC CORPORATION
14.13.1 COMPANY OVERVIEW
14.13.2 REVENUE ANALYSIS
14.13.3 PRODUCT PORTFOLIO
14.13.4 GEOGRAPHIC PRESENCE
14.13.5 RECENT DEVELOPMENTS
14.14 INSTAREA
14.14.1 COMPANY OVERVIEW
14.14.2 REVENUE ANALYSIS
14.14.3 PRODUCT PORTFOLIO
14.14.4 GEOGRAPHIC PRESENCE
14.14.5 RECENT DEVELOPMENTS
14.15 IBM
14.15.1 COMPANY OVERVIEW
14.15.2 REVENUE ANALYSIS
14.15.3 PRODUCT PORTFOLIO
14.15.4 GEOGRAPHIC PRESENCE
14.15.5 RECENT DEVELOPMENTS
14.16 CAPEGEMINI
14.16.1 COMPANY OVERVIEW
14.16.2 REVENUE ANALYSIS
14.16.3 PRODUCT PORTFOLIO
14.16.4 GEOGRAPHIC PRESENCE
14.16.5 RECENT DEVELOPMENTS
14.17 CISCO SYSTEM, INC.
14.17.1 COMPANY OVERVIEW
14.17.2 PRODUCT PORTFOLIO
14.17.3 GEOGRAPHIC PRESENCE
14.17.4 RECENT DEVELOPMENTS
14.18 OPTIVA
14.18.1 COMPANY OVERVIEW
14.18.2 REVENUE ANALYSIS
14.18.3 PRODUCT PORTFOLIO
14.18.4 GEOGRAPHIC PRESENCE
14.18.5 RECENT DEVELOPMENTS
14.19 CLOUDERA, INC.
14.19.1 COMPANY OVERVIEW
14.19.2 PRODUCT PORTFOLIO
14.19.3 GEOGRAPHIC PRESENCE
14.19.4 RECENT DEVELOPMENTS
14.2 ADASTRA GROUP
14.20.1 COMPANY OVERVIEW
14.20.2 PRODUCT PORTFOLIO
14.20.3 GEOGRAPHIC PRESENCE
14.20.4 RECENT DEVELOPMENTS
14.21 INFOSYS
14.21.1 COMPANY OVERVIEW
14.21.2 REVENUE ANALYSIS
14.21.3 PRODUCT PORTFOLIO
14.21.4 GEOGRAPHIC PRESENCE
14.21.5 RECENT DEVELOPMENTS
14.22 MONETIZE
14.22.1 COMPANY OVERVIEW
14.22.2 REVENUE ANALYSIS
14.22.3 PRODUCT PORTFOLIO
14.22.4 GEOGRAPHIC PRESENCE
14.22.5 RECENT DEVELOPMENTS
14.23 MAPR TECHNOLOGIES, INC.
14.23.1 COMPANY OVERVIEW
14.23.2 REVENUE ANALYSIS
14.23.3 PRODUCT PORTFOLIO
14.23.4 GEOGRAPHIC PRESENCE
14.23.5 RECENT DEVELOPMENTS
14.24 EMU ANALYTICS
14.24.1 COMPANY OVERVIEW
14.24.2 REVENUE ANALYSIS
14.24.3 PRODUCT PORTFOLIO
14.24.4 GEOGRAPHIC PRESENCE
14.24.5 RECENT DEVELOPMENTS
14.25 PALANTIR SOLUTIONS
14.25.1 COMPANY OVERVIEW
14.25.2 REVENUE ANALYSIS
14.25.3 PRODUCT PORTFOLIO
14.25.4 GEOGRAPHIC PRESENCE
14.25.5 RECENT DEVELOPMENTS
14.26 HITACHI VANTARA
14.26.1 COMPANY OVERVIEW
14.26.2 REVENUE ANALYSIS
14.26.3 PRODUCT PORTFOLIO
14.26.4 GEOGRAPHIC PRESENCE
14.26.5 RECENT DEVELOPMENTS
15 RELATED REPORTS
16 QUESTIONNAIRE
17 ABOUT DATA BRIDGE MARKET RESEARCH
Research Methodology
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The key research methodology used by DBMR research team is data triangulation which involves data mining, analysis of the impact of data variables on the market and primary (industry expert) validation. Data models include Vendor Positioning Grid, Market Time Line Analysis, Market Overview and Guide, Company Positioning Grid, Patent Analysis, Pricing Analysis, Company Market Share Analysis, Standards of Measurement, Global versus Regional and Vendor Share Analysis. To know more about the research methodology, drop in an inquiry to speak to our industry experts.
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