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Global Microgrid as a Service Market to reach USD 7278.24 million by the end of 2030

Global Microgrid as a Service Market Size study & Forecast, by Grid Type (Grid Connected, Remote/Islanded) by Vertical (Government & Education, Residential & Commercial, Industrial, Military, Utility) by Service Type (Engineering & Design Service, Software as a Service (SaaS), Monitoring & Control Service, Operation & Maintenance Service) and Regional Analysis, 2023-2030

Product Code: ICTICTS-10335830
Publish Date: 10-03-2024
Page: 200

Global Microgrid as a Service Market is valued approximately at USD 2,241.6 million in 2022 and is anticipated to grow with a healthy growth rate of more than 15.86% over the forecast period 2023-2030. Microgrid as a Service is a model in which a third-party provider offers comprehensive microgrid solutions to customers. Instead of owning and managing a microgrid infrastructure, customers can subscribe to the services provided by the MaaS provider. The Microgrid as a Service market is expanding because of factors such as rising demand for microgrids and increasing rate of urbanization. As a result, the demand of Microgrid as a Service has progressively increased in the international market during the forecast period 2023-2030.

Microgrid as a Service providers leverage advanced technologies for monitoring, control, and optimization of microgrid systems. These capabilities help organizations maximize energy efficiency, reduce operational costs and optimize the use of distributed energy resources. As energy efficiency becomes a priority, the demand for MaaS solutions that deliver these benefits continues to grow. According to Statista, the global microgrid market accounted USD 14.3 billion in 2021 and is projected to reach up to USD 43.9 billion by 2028. Another important factor driving the Microgrid as a Service market is increasing rate of urbanization. Urban areas experience challenges in grid reliability due to aging infrastructure, increased energy demand, and vulnerability to natural disasters. Microgrids can provide a decentralized and more resilient alternative, ensuring a stable energy supply during grid disruptions. In addition, according to Statista, the global urbanization rate accounted 57% in 2022. North America has the highest rate of urbanization, with more than four fifths of the population living in cities. Moreover, rising integration of behind-the-meter microgrid virtual batteries for energy storage and growing electrification among rural areas is anticipated to create a lucrative growth opportunity for the market over the forecast period. However, complexities associated to design of large-sized microgrids and absence of adequate training programs is going to impede overall market growth throughout the forecast period of 2023-2030.

The key regions considered for the Global Microgrid as a Service Market study includes Asia Pacific, North America, Europe, Latin America, and Middle East & Africa. North America dominated the market in 2022 with largest market share owing to the high-quality power requirements and increasing rate of urbanization in the region. Industries, businesses, and critical facilities demand a stable and reliable power supply to avoid disruptions in their operations. Microgrids, with their ability to operate independently or in conjunction with the main grid, enhance reliability by providing a backup power source during grid outages or disturbances. MaaS providers ensure that the microgrid infrastructure meets high-quality power standards, making them a dependable solution for customers. The region’s dominant performance is anticipated to propel the overall demand of Microgrid as a Service. Furthermore, Asia Pacific region is expected to grow at the fastest CAGR during the forecast period, owing to factors such as rising electrification among rural areas in the region. Traditional grid expansion to rural areas can be economically challenging due to the vast and remote nature of these locations. Microgrids, especially when offered as a service, provide a cost-effective alternative. MaaS providers can design, install, and manage microgrids, allowing rural communities to access electricity without the need for significant upfront investments.

Major market player included in this report are:
General Electric Corporation
Eaton Corporation PLC
Siemens AG
Pareto Energy
Spirae, Inc
Green Energy Corporation
Northern Power Systems Corp
Tech Mahindra Limited
Engie SA
Recent Developments in the Market:
Ø In May 2023, Schneider Electric, a pioneer in the digital transformation of energy management and automation, introduces EcoStruxure Microgrid Flex—an unprecedented, standardized microgrid solution poised to streamline project timelines and amplify returns on investment. As the demand for microgrids escalates to address the anticipated 40% share of distributed energy resources in US electricity generation by 2050, EcoStruxure Microgrid Flex revolutionizes the landscape. This innovative solution is meticulously designed to curtail the extensive engineering hours and meticulous configuration, planning, and deployment efforts currently associated with microgrid systems, promising a more efficient and cost-effective journey for stakeholders.

Global Microgrid as a Service Market Report Scope:
ü Historical Data – 2020 – 2021
ü Base Year for Estimation – 2022
ü Forecast period – 2023-2030
ü Report Coverage – Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
ü Segments Covered – Grid Type, Vertical, Service Type, Region
ü Regional Scope – North America; Europe; Asia Pacific; Latin America; Middle East & Africa
ü 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 Grid Type
Grid Connected

by Vertical
Government & Education
Residential & Commercial

by Service Type
Engineering & Design Service
Software as a Service (SaaS)
Monitoring & Control Service
Operation & Maintenance Service

By Region:

North America


Asia Pacific
South Korea

Latin America

Middle East & Africa
Saudi Arabia
South Africa
Rest of Middle East & Africa

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2020-2030 (USD Million)
1.2.1. Microgrid as a Service Market, by region, 2020-2030 (USD Million)
1.2.2. Microgrid as a Service Market, by Grid Type, 2020-2030 (USD Million)
1.2.3. Microgrid as a Service Market, by Vertical, 2020-2030 (USD Million)
1.2.4. Microgrid as a Service Market, by Service Type, 2020-2030 (USD Million)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Microgrid as a Service Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Industry Evolution
2.2.2. Scope of the Study
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Microgrid as a Service Market Dynamics
3.1. Microgrid as a Service Market Impact Analysis (2020-2030)
3.1.1. Market Drivers Rising demand for microgrids Increasing rate of urbanization
3.1.2. Market Challenges Complexities associated to design of large-sized microgrids Absence of adequate training programs
3.1.3. Market Opportunities Rising integration of behind-the-meter microgrid virtual batteries for energy storage Growing electrification among rural areas
Chapter 4. Global Microgrid as a Service 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. Porter’s 5 Force Impact Analysis
4.3. PEST Analysis
4.3.1. Political
4.3.2. Economic
4.3.3. Social
4.3.4. Technological
4.3.5. Environmental
4.3.6. Legal
4.4. Top investment opportunity
4.5. Top winning strategies
4.6. COVID-19 Impact Analysis
4.7. Disruptive Trends
4.8. Industry Expert Perspective
4.9. Analyst Recommendation & Conclusion
Chapter 5. Global Microgrid as a Service Market, by Grid Type
5.1. Market Snapshot
5.2. Global Microgrid as a Service Market by Grid Type, Performance – Potential Analysis
5.3. Global Microgrid as a Service Market Estimates & Forecasts by Grid Type 2020-2030 (USD Million)
5.4. Microgrid as a Service Market, Sub Segment Analysis
5.4.1. Grid Connected
5.4.2. Remote/Islanded
Chapter 6. Global Microgrid as a Service Market, by Vertical
6.1. Market Snapshot
6.2. Global Microgrid as a Service Market by Vertical, Performance – Potential Analysis
6.3. Global Microgrid as a Service Market Estimates & Forecasts by Vertical 2020-2030 (USD Million)
6.4. Microgrid as a Service Market, Sub Segment Analysis
6.4.1. Government & Education
6.4.2. Residential & Commercial
6.4.3. Industrial
6.4.4. Military
6.4.5. Utility
Chapter 7. Global Microgrid as a Service Market, by Service Type
7.1. Market Snapshot
7.2. Global Microgrid as a Service Market by Service Type, Performance – Potential Analysis
7.3. Global Microgrid as a Service Market Estimates & Forecasts by Service Type 2020-2030 (USD Million)
7.4. Microgrid as a Service Market, Sub Segment Analysis
7.4.1. Engineering & Design Service
7.4.2. Software as a Service (SaaS)
7.4.3. Monitoring & Control Service
7.4.4. Operation & Maintenance Service
Chapter 8. Global Microgrid as a Service Market, Regional Analysis
8.1. Top Leading Countries
8.2. Top Emerging Countries
8.3. Microgrid as a Service Market, Regional Market Snapshot
8.4. North America Microgrid as a Service Market
8.4.1. U.S. Microgrid as a Service Market Grid Type breakdown estimates & forecasts, 2020-2030 Vertical breakdown estimates & forecasts, 2020-2030 Service Type breakdown estimates & forecasts, 2020-2030
8.4.2. Canada Microgrid as a Service Market
8.5. Europe Microgrid as a Service Market Snapshot
8.5.1. U.K. Microgrid as a Service Market
8.5.2. Germany Microgrid as a Service Market
8.5.3. France Microgrid as a Service Market
8.5.4. Spain Microgrid as a Service Market
8.5.5. Italy Microgrid as a Service Market
8.5.6. Rest of Europe Microgrid as a Service Market
8.6. Asia-Pacific Microgrid as a Service Market Snapshot
8.6.1. China Microgrid as a Service Market
8.6.2. India Microgrid as a Service Market
8.6.3. Japan Microgrid as a Service Market
8.6.4. Australia Microgrid as a Service Market
8.6.5. South Korea Microgrid as a Service Market
8.6.6. Rest of Asia Pacific Microgrid as a Service Market
8.7. Latin America Microgrid as a Service Market Snapshot
8.7.1. Brazil Microgrid as a Service Market
8.7.2. Mexico Microgrid as a Service Market
8.8. Middle East & Africa Microgrid as a Service Market
8.8.1. Saudi Arabia Microgrid as a Service Market
8.8.2. South Africa Microgrid as a Service Market
8.8.3. Rest of Middle East & Africa Microgrid as a Service Market

Chapter 9. Competitive Intelligence
9.1. Key Company SWOT Analysis
9.1.1. Company 1
9.1.2. Company 2
9.1.3. Company 3
9.2. Top Market Strategies
9.3. Company Profiles
9.3.1. General Electric Corporation Key Information Overview Financial (Subject to Data Availability) Product Summary Recent Developments
9.3.2. Eaton Corporation PLC
9.3.3. Siemens AG
9.3.4. Pareto Energy
9.3.5. Spirae Inc
9.3.6. Green Energy Corporation
9.3.7. Northern Power Systems Corp
9.3.8. Tech Mahindra Limited
9.3.9. ABB Ltd
9.3.10. Engie SA
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.
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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