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Global Coal Bed Methane (CBM) Market to reach USD XX billion by 2028

Global Coal Bed Methane (CBM) Market Size study, by Application (Industrial, Power Generation, Transportation, Commercial, Residential) and Regional Forecasts 2022-2028

Product Code: EPBF F-83847486
Publish Date: 30-04-2022
Page: 200

Global Coal Bed Methane (CBM) 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 2022-2028. Coal Bed Methane (CBM) is the natural gas found in most coal deposits. It is created during the coalification process where plant material is converted into coal over millions of years. The high demand for eco-friendly fuels in the industrial sector, low price of other unconventional sources of natural gas has led to the adoption of Coal Bed Methane (CBM) across the forecast period. For Instance: In July 2021, National Thermal Power Corporation Renewable Energy Ltd. (NTPC REL), NTPC’s fully owned subsidiary, sent out a tender to domestic manufacturers to build India’s first green hydrogen fueling station in Leh, Ladakh. In June 2021, Reliance Industries announced to invest Rs. 750,00 crore (US$ 10.07 billion) in the green energy segment. Also, with the alternative sources for natural gas, the adoption & demand for Coal Bed Methane (CBM) is likely to increase the market growth during the forecast period. However, requirement of large initial capital impedes the growth of the market over the forecast period of 2022-2028.

The key regions considered for the global Coal Bed Methane (CBM) market study include Asia Pacific, North America, Europe, Latin America and Rest of the World. North America is the leading region across the world in terms of market share owing to innovation and experience procured in the U.S. which could be promptly applied globally. Whereas, Asia-Pacific is also anticipated to exhibit the highest growth rate over the forecast period 2022-2028. Factors such as rising demand for LNG, transferring the growth to CBM as a substitute would create lucrative growth prospects for the Coal Bed Methane (CBM) market across Asia-Pacific region.

Major market players included in this report are:
Santos Ltd
Arrow Energy
Baker Hughes
BG Group (Royal Dutch Shell Plc.)
Blue Energy
BP Plc
China United Coal Bed Methane Corporation
ConocoPhillips
Encana Corporation
Origin Energy

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 eight years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within each of the regions and countries involved in the study. Furthermore, the report also caters the detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, the report shall also incorporate available 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 Application:
Industrial
Power Generation
Transportation
Commercial
Residential
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

Furthermore, years considered for the study are as follows:

Historical year – 2018, 2019, 2020
Base year – 2021
Forecast period – 2022 to 2028

Target Audience of the Global Coal Bed Methane (CBM) Market in Market Study:

Key Consulting Companies & Advisors
Large, medium-sized, and small enterprises
Venture capitalists
Value-Added Resellers (VARs)
Third-party knowledge providers
Investment bankers
Investors

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2020-2028 (USD Billion)
1.2.1. Global Coal Bed Methane (CBM) Market, by Region, 2020-2028 (USD Billion)
1.2.2. Global Coal Bed Methane (CBM) Market, by Application, 2020-2028 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Coal Bed Methane (CBM) 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 Coal Bed Methane (CBM) Market Dynamics
3.1. Coal Bed Methane (CBM) Market Impact Analysis (2020-2028)
3.1.1. Market Drivers
3.1.1.1. High demand for eco-friendly fuels in the industrial sector
3.1.1.2. Low price of other unconventional sources of natural gas
3.1.2. Market Challenges
3.1.2.1. Requirement of large initial capital
3.1.3. Market Opportunities
3.1.3.1. Alternative sources for natural gas
Chapter 4. Global Coal Bed Methane (CBM) 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
4.1.6. Futuristic Approach to Porter’s 5 Force Model (2019-2028)
4.2. PEST Analysis
4.2.1. Political
4.2.2. Economical
4.2.3. Social
4.2.4. Technological
4.3. Investment Adoption Model
4.4. Analyst Recommendation & Conclusion
4.5. Top investment opportunity
4.6. Top winning strategies
Chapter 5. Risk Assessment: COVID-19 Impact
5.1.1. Assessment of the overall impact of COVID-19 on the industry
5.1.2. Pre COVID-19 and post COVID-19 market scenario
Chapter 6. Global Coal Bed Methane (CBM) Market, by Application
6.1. Market Snapshot
6.2. Global Coal Bed Methane (CBM) Market by Application, Performance – Potential Analysis
6.3. Global Coal Bed Methane (CBM) Market Estimates & Forecasts by Application, 2019-2028 (USD Billion)
6.4. Coal Bed Methane (CBM) Market, Sub Segment Analysis
6.4.1. Industrial
6.4.2. Power Generation
6.4.3. Transportation
6.4.4. Commercial
6.4.5. Residential
Chapter 7. Global Coal Bed Methane (CBM) Market, Regional Analysis
7.1. Coal Bed Methane (CBM) Market, Regional Market Snapshot
7.2. North America Coal Bed Methane (CBM) Market
7.2.1. U.S. Coal Bed Methane (CBM) Market
7.2.1.1. Application breakdown estimates & forecasts, 2019-2028
7.2.2. Canada Coal Bed Methane (CBM) Market
7.3. Europe Coal Bed Methane (CBM) Market Snapshot
7.3.1. U.K. Coal Bed Methane (CBM) Market
7.3.2. Germany Coal Bed Methane (CBM) Market
7.3.3. France Coal Bed Methane (CBM) Market
7.3.4. Spain Coal Bed Methane (CBM) Market
7.3.5. Italy Coal Bed Methane (CBM) Market
7.3.6. Rest of Europe Coal Bed Methane (CBM) Market
7.4. Asia-Pacific Coal Bed Methane (CBM) Market Snapshot
7.4.1. China Coal Bed Methane (CBM) Market
7.4.2. India Coal Bed Methane (CBM) Market
7.4.3. Japan Coal Bed Methane (CBM) Market
7.4.4. Australia Coal Bed Methane (CBM) Market
7.4.5. South Korea Coal Bed Methane (CBM) Market
7.4.6. Rest of Asia Pacific Coal Bed Methane (CBM) Market
7.5. Latin America Coal Bed Methane (CBM) Market Snapshot
7.5.1. Brazil Coal Bed Methane (CBM) Market
7.5.2. Mexico Coal Bed Methane (CBM) Market
7.6. Rest of The World Coal Bed Methane (CBM) Market

Chapter 8. Competitive Intelligence
8.1. Top Market Strategies
8.2. Company Profiles
8.2.1. Santos Ltd
8.2.1.1. Key Information
8.2.1.2. Overview
8.2.1.3. Financial (Subject to Data Availability)
8.2.1.4. Product Summary
8.2.1.5. Recent Developments
8.2.2. Arrow Energy
8.2.3. Baker Hughes
8.2.4. BG Group (Royal Dutch Shell Plc.)
8.2.5. Blue Energy
8.2.6. BP plc
8.2.7. China United Coal Bed Methane Corporation
8.2.8. ConocoPhillips
8.2.9. Encana Corporation
8.2.10. Origin Energy
Chapter 9. Research Process
9.1. Research Process
9.1.1. Data Mining
9.1.2. Analysis
9.1.3. Market Estimation
9.1.4. Validation
9.1.5. Publishing
9.2. Research Attributes
9.3. 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.
Insight Generation & Report Presentation:
After conducting the research, our experts analyze the findings in relation to the research objectives and the specific needs of the client. They generate valuable insights and recommendations that directly address the client’s business challenges. These insights are carefully connected to the research findings to provide a comprehensive understanding.
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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