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Global Energy as a Service (EaaS) Market to reach USD 149.35 billion by the end of 2029.

Global Energy as a Service (EaaS) Market Size study & Forecast, by Service Type (Energy Supply Service, Operational & Maintenance Service, Energy Optimization & Efficiency Service) by End User (Commercial, Industrial), and Regional Analysis, 2022-2029

Product Code: EPOGI-17124771
Publish Date: 5-05-2023
Page: 200

Global Energy as a Service (EaaS) Market is valued at approximately USD 64.34 billion in 2021 and is anticipated to grow with a healthy growth rate of more than 11.1% over the forecast period 2022-2029. Energy as a Service (EaaS) includes the sale of energy, technology, analytics, access to grid, as well as personalized services. The Energy as a Service (EaaS) Market is expanding because of factors such as the increasing adoption of renewables and increasing demand for energy in Various End-user Sectors.

Reducing greenhouse gas (GHG) emissions and the rising energy demand are the primary objectives of governing bodies in all countries. Following that, it is projected that the installation of renewable energy sources will increase dramatically over the next 10 years, leading to market expansion. The introduction of new energy targets by various governments to promote the trend towards sustainable electricity has had a favourable effect on market size. For instance, Brazil wants 42.5% of its primary energy supply to come from renewable sources by the end of 2023. Similar to this, according to the carbon brief analysis, the UK government intends to have about 50% of its electricity come from renewable sources by 2025. Thus, the rising demand for renewable energies is catering to the market growth. In addition, the introduction and expansion of the DEG and VPP market and favorable regulation framework is creating new opportunities for the market. However, heavy capital investment for establishment and switch to advanced grids may halt market growth.

The key regions considered for the Global Energy as a Service (EaaS) Market study includes Asia Pacific, North America, Europe, Latin America, and Rest of the World. North America dominated the market in terms of revenue, owing to rising investment in various renewable energy projects, and rising demand from end-use industry. Whereas Europe is expected to grow with the highest CAGR during the forecast period, owing to factors such as rising government initiatives for launching renewable energy projects, and rising investment in grid infrastructure development.

Major market player included in this report are:
Schneider Electric
Honeywell International Inc
Enel X
EDF Renewables
General Electric company
WGL Holding Inc
SmartWatt, Inc

Recent Developments in the Market:
Ø In November 2021, Rolls-Royce and Sustainable Development Capital (SDCL), a significant international investor, announced to collaborate together to deliver Energy as a Service (EaaS) solutions that can speed up the adoption of greener energy.
Ø In December 2021, Johnson Controls introduces OpenBlue Net Zero Buildings as a Service. With the launch, Johnson Controls will offer a one-stop shop with the launch for businesses wanting to meet net zero emissions and renewable energy goals.

Global Energy as a Service (EaaS) 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 Service, End User, 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 Service Typeofferings of key players. The detailed segments and sub-segment of the market are explained below:

By Service Type:
Energy Supply Service
Operational & Maintenance Service
Energy Optimization & Efficiency Service

By End User:

By Region:
North America
Asia Pacific
South Korea
Latin America
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. Energy as a Service (EaaS) Market, by Region, 2019-2029 (USD Billion)
1.2.2. Energy as a Service (EaaS) Market, by Service Type, 2019-2029 (USD Billion)
1.2.3. Energy as a Service (EaaS) Market, by End User, 2019-2029 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Energy as a Service (EaaS) 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 Energy as a Service (EaaS) Market Dynamics
3.1. Energy as a Service (EaaS) Market Impact Analysis (2019-2029)
3.1.1. Market Drivers Increasing Adoption of Renewables Increasing Demand for Energy in Various End-user Sectors
3.1.2. Market Challenges Heavy Capital Investment for Establishment and Switch to Advanced Grids
3.1.3. Market Opportunities Introduction and Expansion of DEG and VPP Market Favorable Regulation Framework
Chapter 4. Global Energy as a Service (EaaS) 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. Top investment opportunity
4.5. Top winning strategies
4.6. Industry Experts Prospective
4.7. Analyst Recommendation & Conclusion
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 Energy as a Service (EaaS) Market, by Service Type
6.1. Market Snapshot
6.2. Global Energy as a Service (EaaS) Market by Service Type, Performance – Potential Analysis
6.3. Global Energy as a Service (EaaS) Market Estimates & Forecasts by Service Type 2019-2029 (USD Billion)
6.4. Energy as a Service (EaaS) Market, Sub Segment Analysis
6.4.1. Energy Supply Service
6.4.2. Operational & Maintenance Service
6.4.3. Energy Optimization & Efficiency Service
Chapter 7. Global Energy as a Service (EaaS) Market, by End User
7.1. Market Snapshot
7.2. Global Energy as a Service (EaaS) Market by End User, Performance – Potential Analysis
7.3. Global Energy as a Service (EaaS) Market Estimates & Forecasts by End User 2019-2029 (USD Billion)
7.4. Energy as a Service (EaaS) Market, Sub Segment Analysis
7.4.1. Commercial
7.4.2. Industrial
Chapter 8. Global Energy as a Service (EaaS) Market, Regional Analysis
8.1. Energy as a Service (EaaS) Market, Regional Market Snapshot
8.2. North America Energy as a Service (EaaS) Market
8.2.1. U.S. Energy as a Service (EaaS) Market Service Type breakdown estimates & forecasts, 2019-2029 End User breakdown estimates & forecasts, 2019-2029
8.2.2. Canada Energy as a Service (EaaS) Market
8.3. Europe Energy as a Service (EaaS) Market Snapshot
8.3.1. U.K. Energy as a Service (EaaS) Market
8.3.2. Germany Energy as a Service (EaaS) Market
8.3.3. France Energy as a Service (EaaS) Market
8.3.4. Spain Energy as a Service (EaaS) Market
8.3.5. Italy Energy as a Service (EaaS) Market
8.3.6. Rest of Europe Energy as a Service (EaaS) Market
8.4. Asia-Pacific Energy as a Service (EaaS) Market Snapshot
8.4.1. China Energy as a Service (EaaS) Market
8.4.2. India Energy as a Service (EaaS) Market
8.4.3. Japan Energy as a Service (EaaS) Market
8.4.4. Australia Energy as a Service (EaaS) Market
8.4.5. South Korea Energy as a Service (EaaS) Market
8.4.6. Rest of Asia Pacific Energy as a Service (EaaS) Market
8.5. Latin America Energy as a Service (EaaS) Market Snapshot
8.5.1. Brazil Energy as a Service (EaaS) Market
8.5.2. Mexico Energy as a Service (EaaS) Market
8.5.3. Rest of Latin America Energy as a Service (EaaS) Market
8.6. Rest of The World Energy as a Service (EaaS) Market

Chapter 9. Competitive Intelligence
9.1. Top Market Strategies
9.2. Company Profiles
9.2.1. Schneider Electric Key Information Overview Financial (Subject to Data Availability) Product Summary Recent Developments
9.2.2. Siemens
9.2.3. Veolia
9.2.4. Honeywell International Inc
9.2.5. Enel X
9.2.6. EDF Renewables
9.2.7. General Electric company
9.2.8. Engie
9.2.9. WGL Holding Inc
9.2.10. SmartWatt, Inc
Chapter 10. Research Process
10.1. Research Process
10.1.1. Data Mining
10.1.2. Analysis
10.1.3. Market Estimation
10.1.4. Validation
10.1.5. Publishing
10.2. Research Attributes
10.3. 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.
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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:
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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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