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Global Exploration and Production (E&P) Software Market to reach USD XX billion by the end of 2029.

Global Exploration and Production (E&P) Software Market Size study & Forecast, by Component (Solutions and Services), By Operation Type (On-shore and Off-shore), By Deployment (Cloud and On-Premises), By Software Type (Risk Management Mapping, Seismic Amplitude Analysis, Portfolio Aggregation, Performance Tracking, Navigation Systems, Resource Valuation, and Others) and Regional Analysis, 2022-2029

Product Code: ICTEITS-11700983
Publish Date: 17-10-2022
Page: 200

Global Exploration and Production (E&P) Software Market is valued at approximately USD XX billion in 2021 and is anticipated to grow with a healthy growth rate of more than XX% over the forecast period 2022-2029. Exploration and Production (E&P) refers to process of extraction and production of natural resources such as crude oil, natural gas, and geothermal energy. Software based solutions are utilized in Exploration & Production activities for identification and evaluation of crude oil deposits. These solutions also help in accessing feasibility of E&P activities. The growing crude oil demand worldwide and rising automation in Oil & Gas Industry as well as strategic initiatives from leading market players are key factors accelerating the market growth.

According to Statista – in 2021, Global Crude Oil demand was estimated at 96.5 million barrels per day, and this number is projected to grow to 104.1 million barrels per day by 2026. Also, growing investment in crude oil exploration activities as well as rising technological advancements in E&P would create lucrative opportunities for the market over the forecast period. However, high costs associated with deployment as well as rising concerns over data security impede the market growth throughout the forecast period of 2022-2029.

The key regions considered for the Global Exploration and Production (E&P) Software Market study include Asia Pacific, North America, Europe, Latin America, and Rest of the World. North America is the leading region in terms of market share owing to rising investment in Oil & Gas sector as well as presence of leading market players in the region. Whereas, Asia Pacific is expected to grow significantly during the forecast period, owing to factors such as rising expansion of IT sector as well as increasing penetration of leading market players in the region.

Major market players included in this report are:
Baker Hughes
Emerson Paradigm Holding LLC
ETL Solutions
Halliburton
Ikon Science
Interactive Network Technologies, Inc.
KAPPA Engineering
KAPCO
P2 Energy Solutions
Schlumberger Limited

Recent Developments in the Market:
 In March 2022, Petrobel, a joint venture between ENI and the Egyptian General Petroleum Corporation awarded contact to Haliburton for deployment of iEnergy Stack. iEnergy Stack is a cloud based on-premises solution that enables agile and collaborative E&P workflows. This collaboration would enable Haliburton to extend its market presence in petroleum industry.

 In May 2022, Brazil’s national oil company Petrobras collaborated with US based Software company Tibco for the deployment of Spotfire analytics platform.

Global Exploration and Production (E&P) Software Market Report Scope:
Historical Data 2019-2020-2021
Base Year for Estimation 2021
Forecast period 2022-2029
Report Coverage Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
Segments Covered Component, Operation Type, Deployment, Software Type, Region
Regional Scope North America; Europe; Asia Pacific; Latin America; Rest of the World
Customization Scope Free report customization (equivalent up to 8 analyst’s working hours) with purchase. Addition or alteration to country, regional & segment scope*

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.

The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:
By Component:
Solutions
Services
By Operation Type:
On-shore
Off-shore
By Deployment:
Cloud
On-Premises
By Software Type:
Risk Management Mapping
Seismic Amplitude Analysis
Portfolio Aggregation
Performance Tracking
Navigation Systems
Resource Valuation
Others

By Region:
North America
U.S.
Canada
Europe
UK
Germany
France
Spain
Italy
ROE
Asia Pacific
China
India
Japan
Australia
South Korea
RoAPAC
Latin America
Brazil
Mexico
Rest of the World

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2019-2029 (USD Billion)
1.2.1. Exploration and Production (E&P) Software Market, by Region, 2019-2029 (USD Billion)
1.2.2. Exploration and Production (E&P) Software Market, by Component, 2019-2029 (USD Billion)
1.2.3. Exploration and Production (E&P) Software Market, by Operation Type, 2019-2029 (USD Billion)
1.2.4. Exploration and Production (E&P) Software Market, by Deployment, 2019-2029 (USD Billion)
1.2.5. Exploration and Production (E&P) Software Market, by Software Type, 2019-2029 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Exploration and Production (E&P) Software Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Scope of the Study
2.2.2. Industry Evolution
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Exploration and Production (E&P) Software Market Dynamics
3.1. Exploration and Production (E&P) Software Market Impact Analysis (2019-2029)
3.1.1. Market Drivers
3.1.1.1. Growing crude Oil demand worldwide
3.1.1.2. Rising automation in Oil & Gas Industry
3.1.1.3. Strategic initiatives from leading market players
3.1.2. Market Challenges
3.1.2.1. High deployment cost associated with E&P Software
3.1.2.2. Rising concerns over data privacy and security
3.1.3. Market Opportunities
3.1.3.1. Growing investment in Crude Oil exploration activities
3.1.3.2. Rising technological advancements in E&P
Chapter 4. Global Exploration and Production (E&P) Software Market Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.2. Futuristic Approach to Porter’s 5 Force Model (2019-2029)
4.3. PEST Analysis
4.3.1. Political
4.3.2. Economical
4.3.3. Social
4.3.4. Technological
4.4. Investment Adoption Model
4.5. Analyst Recommendation & Conclusion
4.6. Top investment opportunity
4.7. Top winning strategies
Chapter 5. Risk Assessment: COVID-19 Impact
5.1. Assessment of the overall impact of COVID-19 on the industry
5.2. Pre COVID-19 and post COVID-19 Market scenario
Chapter 6. Global Exploration and Production (E&P) Software Market, by Component
6.1. Market Snapshot
6.2. Global Exploration and Production (E&P) Software Market by Component, Performance – Potential Analysis
6.3. Global Exploration and Production (E&P) Software Market Estimates & Forecasts by Component, 2019-2029 (USD Billion)
6.4. Exploration and Production (E&P) Software Market, Sub Segment Analysis
6.4.1. Solutions
6.4.2. Services
Chapter 7. Global Exploration and Production (E&P) Software Market, by Operation Type
7.1. Market Snapshot
7.2. Global Exploration and Production (E&P) Software Market by Operation Type, Performance – Potential Analysis
7.3. Global Exploration and Production (E&P) Software Market Estimates & Forecasts by Operation Type, 2019-2029 (USD Billion)
7.4. Exploration and Production (E&P) Software Market, Sub Segment Analysis
7.4.1. On-shore
7.4.2. Off-shore
Chapter 8. Global Exploration and Production (E&P) Software Market, by Deployment
8.1. Market Snapshot
8.2. Global Exploration and Production (E&P) Software Market by Deployment, Performance – Potential Analysis
8.3. Global Exploration and Production (E&P) Software Market Estimates & Forecasts by Deployment, 2019-2029 (USD Billion)
8.4. Exploration and Production (E&P) Software Market, Sub Segment Analysis
8.4.1. Cloud
8.4.2. On-premises
Chapter 9. Global Exploration and Production (E&P) Software Market, by Software Type
9.1. Market Snapshot
9.2. Global Exploration and Production (E&P) Software Market by Software Type, Performance – Potential Analysis
9.3. Global Exploration and Production (E&P) Software Market Estimates & Forecasts by Software Type, 2019-2029 (USD Billion)
9.4. Exploration and Production (E&P) Software Market, Sub Segment Analysis
9.4.1. Risk Management Mapping
9.4.2. Seismic Amplitude Analysis
9.4.3. Portfolio Aggregation
9.4.4. Performance Tracking
9.4.5. Navigation Systems
9.4.6. Resource Valuation
9.4.7. Others
Chapter 10. Global Exploration and Production (E&P) Software Market, Regional Analysis
10.1. Exploration and Production (E&P) Software Market, Regional Market Snapshot
10.2. North America Exploration and Production (E&P) Software Market
10.2.1. U.S. Exploration and Production (E&P) Software Market
10.2.1.1. Component breakdown estimates & forecasts, 2019-2029
10.2.1.2. Operation Type breakdown estimates & forecasts, 2019-2029
10.2.1.3. Deployment breakdown estimates & forecasts, 2019-2029
10.2.1.4. Software Type breakdown estimates & forecasts, 2019-2029
10.2.2. Canada Exploration and Production (E&P) Software Market
10.3. Europe Exploration and Production (E&P) Software Market Snapshot
10.3.1. U.K. Exploration and Production (E&P) Software Market
10.3.2. Germany Exploration and Production (E&P) Software Market
10.3.3. France Exploration and Production (E&P) Software Market
10.3.4. Spain Exploration and Production (E&P) Software Market
10.3.5. Italy Exploration and Production (E&P) Software Market
10.3.6. Rest of Europe Exploration and Production (E&P) Software Market
10.4. Asia-Pacific Exploration and Production (E&P) Software Market Snapshot
10.4.1. China Exploration and Production (E&P) Software Market
10.4.2. India Exploration and Production (E&P) Software Market
10.4.3. Japan Exploration and Production (E&P) Software Market
10.4.4. Australia Exploration and Production (E&P) Software Market
10.4.5. South Korea Exploration and Production (E&P) Software Market
10.4.6. Rest of Asia Pacific Exploration and Production (E&P) Software Market
10.5. Latin America Exploration and Production (E&P) Software Market Snapshot
10.5.1. Brazil Exploration and Production (E&P) Software Market
10.5.2. Mexico Exploration and Production (E&P) Software Market
10.6. Rest of The World Exploration and Production (E&P) Software Market

Chapter 11. Competitive Intelligence
11.1. Top Market Strategies
11.2. Company Profiles
11.2.1. Baker Hughes
11.2.1.1. Key Information
11.2.1.2. Overview
11.2.1.3. Financial (Subject to Data Availability)
11.2.1.4. Product Summary
11.2.1.5. Recent Developments
11.2.2. Emerson Paradigm Holding LLC
11.2.3. ETL Solutions
11.2.4. Halliburton
11.2.5. Ikon Science
11.2.6. Interactive Network Technologies, Inc.
11.2.7. KAPPA Engineering
11.2.8. KAPCO
11.2.9. P2 Energy Solutions
11.2.10. Schlumberger Limited
Chapter 12. Research Process
12.1. Research Process
12.1.1. Data Mining
12.1.2. Analysis
12.1.3. Market Estimation
12.1.4. Validation
12.1.5. Publishing
12.2. Research Attributes
12.3. Research Assumption

At Bizwit Research and Consultancy, we employ a thorough and iterative research methodology with the goal of minimizing discrepancies, ensuring the provision of highly accurate estimates and predictions over the forecast period. Our approach involves a combination of bottom-up and top-down strategies to effectively segment and estimate quantitative aspects of the market, utilizing our proprietary data & AI tools. Our Proprietary Tools allow us for the creation of customized models specific to the research objectives. This enables us to develop tailored statistical models and forecasting algorithms to estimate market trends, future growth, or consumer behavior. The customization enhances the accuracy and relevance of the research findings.
We are dedicated to clearly communicating the purpose and objectives of each research project in the final deliverables. Our process begins by identifying the specific problem or challenge our client wishes to address, and from there, we establish precise research questions that need to be answered. To gain a comprehensive understanding of the subject matter and identify the most relevant trends and best practices, we conduct an extensive review of existing literature, industry reports, case studies, and pertinent academic research.
Critical elements of methodology employed for all our studies include:
Data Collection:
To determine the appropriate methods of data collection based on the research objectives, we consider both primary and secondary sources. Primary data collection involves gathering information directly from various industry experts in core and related fields, original equipment manufacturers (OEMs), vendors, suppliers, technology developers, alliances, and organizations. These sources encompass all segments of the value chain within the specific industry. Through in-depth interviews, we engage with key industry participants, subject-matter experts, C-level executives of major market players, industry consultants, and other relevant experts. This allows us to obtain and validate critical qualitative and quantitative information while evaluating market prospects. AI and Big Data are instrumental in our primary research, providing us with powerful tools to collect, analyze, and derive insights from data efficiently. These technologies contribute to the advancement of research methodologies, enabling us to make data-driven decisions and uncover valuable findings.
In addition to primary sources, we extensively utilize secondary sources to enhance our research. These include directories, databases, journals focusing on related industries, company newsletters, and information portals such as Bloomberg, D&B Hoovers, and Factiva. These secondary sources enable us to identify and gather valuable information for our comprehensive, technical, market-oriented, and commercial study of the market. Additionally, we utilize AI algorithms to automate the collection of vast amounts of data from various sources such as surveys, social media platforms, online transactions, and web scraping. And employ Big Data technologies for storage and processing of large datasets, ensuring that no valuable information is missed during the data collection process.
Data Analysis:
Our team of experts carefully examine the gathered data using suitable statistical techniques and qualitative analysis methods. For quantitative analysis, we employ descriptive statistics, regression analysis, and other advanced statistical methods, depending on the characteristics of the data. This analysis may also incorporate the utilization of AI tools and big data analysis techniques to extract meaningful insights.
To ensure the accuracy and reliability of our findings, we extensively leverage data science techniques, which help us minimize discrepancies and uncertainties in our analysis. We employ Data Science to clean and preprocess the data, ensuring its quality and reliability. This involves handling missing data, removing outliers, standardizing variables, and transforming data into suitable formats for analysis. The application of data science techniques enhances our accuracy, efficiency, and depth of analysis, enabling us to stay competitive in dynamic market environments.
Market Size Estimation:
Our proprietary data tools play a crucial role in deriving our market estimates and forecasts. Each study involves the creation of a unique and customized model. The model incorporates the gathered information on market dynamics, technology landscape, application development, and pricing trends. AI techniques, such as machine learning and deep learning, aid us to analyze patterns within the data to identify correlations, trends, and relationships. By recognizing patterns in consumer behavior, purchasing habits, or market dynamics, our AI algorithms aid us in more precise estimations of market size. These factors are simultaneously analyzed within the model, allowing for a comprehensive assessment. To quantify their impact over the forecast period, correlation, regression, and time series analysis are employed.
To estimate and validate the market size, we employ both top-down and bottom-up approaches. The preference is given to a bottom-up approach, where key regional markets are analyzed as separate entities. This data is then integrated to obtain global estimates. This approach is crucial as it provides a deep understanding of the industry and helps minimize errors.
In our forecasting process, we consider various parameters such as economic tools, technological analysis, industry experience, and domain expertise. By taking all these factors into account, we strive to produce accurate and reliable market forecasts. When forecasting, we take into consideration several parameters, which include:
Market driving trends and favorable economic conditions
Restraints and challenges that are expected to be encountered during the forecast period.
Anticipated opportunities for growth and development
Technological advancements and projected developments in the market
Consumer spending trends and dynamics
Shifts in consumer preferences and behaviors.
The current state of raw materials and trends in supply versus pricing
Regulatory landscape and expected changes or developments.
The existing capacity in the market and any expected additions or expansions up to the end of the forecast period.
To assess the market impact of these parameters, we assign weights to each one and utilize weighted average analysis. This process allows us to quantify their influence on the market and derive an expected growth rate for the forecasted period. By considering these various factors and applying a weighted analysis approach, we strive to provide accurate and reliable market forecasts.
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Next, we create a well-structured research report that effectively communicates the research findings, insights, and recommendations to the client. To enhance clarity and comprehension, we utilize visual aids such as charts, graphs, and tables. These visual elements are employed to present the data in an engaging and easily understandable format, ensuring that the information is accessible and visually appealing to the client. Our aim is to deliver a clear and concise report that conveys the research findings effectively and provides actionable recommendations to meet the client’s specific needs.

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