Global virtual power plant market size, share & market forecast , 2025

MARKET INTELLIGENCE . CONSULTING
www.techsciresearch.com
GLOBAL VIRTUAL POWER PLANT MARKET
FORECAST & OPPORTUNITIES
2015 – 2025

2
Scope of Report
Product of Interest (POI): Virtual Power Plant
Review Period
2015 – 2018
Base Year
2019
Estimated Year
2020
Forecast Period
2021 – 2025
Year Range
VIRTUAL POWER PLANT
MARKET
COMPONENT
REGION
• North America
• Europe
• Asia-Pacific
• South America
• Middle East & Africa
• Software
• Service
Virtual power plant accumulates power from distributed energy networks to
amplify power generation. Virtual power plants also aids in trading electricity.
Favorable government initiatives to mitigate power outages and increasing
demand for power in key industries are factors contributing to the growth of the
virtual power plant market.
Market Segmentation
• Renewables
• Energy
Storage
• CHP
• Other local
generation
SOURCE
END USER
• Residential
• Commercial
• Industrial
TECHNOLOGY
• Demand Response
• Distributed
Generation
• Mixed Asset

3
Table of Contents
S. No. Contents Page No.
1. Product Overview (Definition of product and major terminologies used in the report)
2. Research Methodology (Detailed description of the methodology used to conduct the research, Raw
data backup, list of all secondary sources, List of respondents for primary surveys)
3. Executive Summary
4. Voice of Customer
5.
Global Virtual Power Plant Market Outlook, 2015-2025F(This chapter includes a brief overview of
the product of interest market such as total market’s growth rate, expected growth rate, key growth
levers, leading region, top grossing product types, etc. It includes more of a qualitative information
about the market.)
5.1. Market Size & Forecast
5.1.1. By Value
5.2. Market Share & Forecast
5.2.1. By Component (Software vs. Service)
5.2.2. By Technology (Demand Response, Distributed Generation, and Mixed Asset)
5.2.3. By Source (Renewables, Energy Storage, CHP and Other local generation)
5.2.4. By End User (Residential, Commercial and Industrial (Petroleum Refining, Chemicals
Industry, Metals & Mining and Others)
5.2.5. By Company (2019)
5.2.6.
By Region (North America; Europe; Asia Pacific; South America and Middle East &
Africa)
5.3. Product Market Map
6. Asia-Pacific Virtual Power Plant Market Outlook, 2015-2025F
6.1.1. By Value
6.2.1. By Component
6.2.2. By Technology
6.2.3. By Source

4
Table of Contents
6.2.4. By End User
6.2.5. By Country (China; India; Japan; South Korea; Australia; and Rest of Asia Pacific)
6.4. Asia-Pacific: Country Analysis
6.4.1. China Virtual Power Plant Market Outlook
6.4.1.1. Market Size & Forecast
6.4.1.1.1. By Value
6.4.1.2. Market Share & Forecast
6.4.1.2.1. By Component
6.4.1.2.2. By Technology
6.4.1.2.3. By Source
6.4.1.2.4. By End User
6.4.1.3. Policies and Regulatory Framework Supporting Renewables
6.4.2. India Virtual Power Plant Market Outlook
6.4.2.1.1. By Value
6.4.3. Japan Virtual Power Plant Market Outlook
6.4.3.1.1. By Value

5
Table of Contents
6.4.4. South Korea Virtual Power Plant Market Outlook
6.4.4.1.1. By Value
6.4.5. Australia Virtual Power Plant Market Outlook
6.4.5.1.1. By Value
7. Europe Virtual Power Plant Market Outlook, 2015-2025F

6
Table of Contents
7.1.1. By Value
7.2.1. By Component
7.2.3. By Source
7.2.4. By End User
7.2.5. By Country (Germany; Denmark; Italy; United Kingdom; Rest of Europe)
7.4. Europe: Country Analysis
7.4.1. Germany Virtual Power Plant Market Outlook
7.4.1.1.1. By Value
7.4.2. Denmark Virtual Power Plant Market Outlook
7.4.2.1.1. By Value

7
Table of Contents
7.4.3. Italy Virtual Power Plant Market Outlook
7.4.3.1.1. By Value
7.4.4. United Kingdom Virtual Power Plant Market Outlook
7.4.4.1.1. By Value
8. North America Virtual Power Plant Market Outlook, 2015-2025F
8.1.1. By Value

8
Table of Contents
8.2.1. By Component
8.2.3. By Source
8.2.4. By End User
8.2.5. By Country (US; Canada; and Rest of North America)
8.4. North America: Country Analysis
8.4.1. United States Virtual Power Plant Market Outlook
8.4.1.1.1. By Value
8.4.2. Canada Virtual Power Plant Market Outlook
8.4.2.1.1. By Value

9
Table of Contents
9. Middle East & Africa Virtual Power Plant Market Outlook, 2015-2025F
9.1.1. By Value
9.2.1. By Component
9.2.3. By Source
9.2.4. By End User
9.2.5. By Country (UAE; and Rest of MEA)
9.4. MEA: Country Analysis
9.4.1. UAE Virtual Power Plant Market Outlook
9.4.1.1.1. By Value
10. South America Virtual Power Plant Market Outlook, 2015-2025F
10.1.1. By Value

10
Table of Contents
10.2.1. By Component
10.2.3. By Source
10.2.4. By End User
10.2.5. By Country (Brazil; and Rest of South America)
10.4. South America: Country Analysis
10.4.1. Brazil Virtual Power Plant Market Outlook
10.4.1.1.1 By Value
10.4.1.2.1 By Component
10.4.1.2.2 By Technology
10.4.1.2.3 By Source
10.4.1.2.4 By End User
10.4.2. Argentina Virtual Power Plant Market Outlook
10.4.2.1.1 By Value
10.4.2.2.1 By Component
10.4.2.2.2 By Technology
10.4.2.2.3 By Source
10.4.2.2.4 By End User
11. Market Dynamics (This chapter assesses the major demand drivers and restrains. In addition, this
section also analyzes its impact on the demand of the product during study period.)

11
Table of Contents
11.1. Drivers
11.2. Challenges
12.
Market Trends & Developments (This section captures recent trends pertaining to manufacturing or
consumption, market movements in terms of points of production and consumption, advancements and
development)
13. Impact of COVID-19 on Global Virtual Power Plant Market
14. Competitive Landscape
14.1. Competitive Outlook
14.2. Company Profiles (Top 10 Leading Companies)
14.2.1. Company Details
14.2.2. Products & Services
14.2.3. Financials (As Reported)
14.2.4. Key Market Focus & Geographical Presence
14.2.5. Recent Developments
14.2.6. Key Management Personnel
15. Strategic Recommendations (Based on the findings of the report strategic recommendations on how
to enter and expand market share)
16. About Us & Disclaimer

13
Research Methodology
 Identifying Key Opinion
Leaders
 Questionnaire Design
 In-depth Interviews
Data
Collection
Developing List
of Respondents
Formulating
Questionnaire
Market
Profiling
Data
Validation
Data
Analysis
In-depth secondary
research was conducted to
determine top players in
the global virtual power
plant market, overall
market size and segmental
market size.
In order to conduct
industry experts’
interviews, TechSci
formulated a detailed
discussion guide.
List of industry
players and industry
specialists was
developed.
TechSci conducted
interviews with
industry experts and
industry players for
data collection and
verification.
Data obtained as a
result of primary
and secondary
research was
validated through
rigorous
triangulation.
The data was scrutinized
using MS-Excel, statistical
tools and internal
proprietary database to
obtain qualitative and
quantitative insights about
the global virtual power
plant market.
Data
Collection
Data Filter
& Analysis
Research &
Intelligence
Actionable
Insights
Business
Solution
Primary Research Desk Research Company Analysis
 Recent Developments
 Market Changing
Aspects/Dynamics
 Government Policies
 Final Conclusion
 Market Participants
 Key Strengths
 LinkedIn
 TechSci Internal
Database
 Factiva
 Hoovers
Paid Sources
 Company Websites
 Company Annual
Reports
 White Paper Study
 Financial Reports
 Investor
Presentations
 Regulatory Body
 Associations, etc.
Secondary
Research
Primary Research

14
Baseline Methodology
Our dedicated team of industry experts has monitored and analyzed various aspects of global virtual power plant market. The team has
market, while considering the major influencing factors such as growing opportunities in renewable energy and battery storage systems,
renewable sources of energy, increase in penetration of smart grid technologies, shift from centralized to distributed generation, among
which would enable our clients to take better decisions while planning their strategy to achieve sustainability in global virtual power
Methodology Followed for Calculation of Market Size:
• Market Size by Value: Market size, in terms of value, for the year 2019 was calculated based on information collected through
exhaustive secondary research and primary surveys, with various key opinion leaders/stakeholders, such as virtual power plant
partners, market influencers & end users, industry experts, and other industry participants.
• The team interviewed more than 15 – 20 virtual power plant manufacturers, supplier and distributor companies, 45 – 50 channel
experts and other value chain stakeholders in the global virtual power plant market to obtain the overall market size from 2015 to
Taking standard deviation into consideration, the market size was averaged out, to arrive at the market size data during 2015-2019.

15
• Respondents were asked about the current and future market growth rates, market shares by component, by technology, by source, by end user, by region and by company.
Removing the outlier responses, the geometric mean of growth estimates and supplier wise revenue shares generated across various segments were considered, to arrive at the
final revenue shares. Revenue shares generated across various segments were further triangulated from other stakeholders.
Methodology Followed for Calculation of Market Shares:
Market shares by component, by technology, by source, by end user, by region and by company were calculated based on the responses received through primary surveys with industry
experts, in which the respondents were asked about the market shares or revenue generated from various segments of virtual power plant market. The final shares were calculated by
taking the geometric mean of the responses gathered from key opinion leaders after eliminating the outliers.
Methodology Followed for Forecasting:
• TechSci Research performed periodical checks on data collected through the surveys with logic checks and analyzed the survey results in SPSS/Tableau Software.
• Data triangulation techniques were applied to fill the gaps and to present a more meaningful picture of the market. To forecast global virtual power plant market , TechSci Research
used various forecast techniques such as:
 Moving Average
 Time Series Analysis
 Regression Analysis
 Econometric and Judgmental Analysis

16
TechSci Research used its own forecast tool, which is based on the growth of various allied industries in respective regions. TechSci Research also used the impact analysis during
short, medium and long-term period to estimate the demand and to reach accurate market numbers. It should be noted that the figures compiled are only for the organized market
including market share data. The currency used in the report is the United States Dollar (USD), with the market size indicated in USD million.
Partial List of Companies Interviewed Key Secondary Sources
 ABB Limited
 AGL Energy Ltd
 Autogrid Systems, Inc.
 Siemens AG
 Schneider Electric SE
 Enbala Power Network, Inc
 Robert Bosch GmbH
 General Electric Company
 Comverge, Inc
 Cisco Systems, Inc
 World Bank
 TechSci Research Proprietary Database & Knowledge Repository
 Company Annual Reports
 Industry Magazines
 Industry Reports
 News Dailies
 Credible Paid Databases

17
Industry Brief
According to TechSci Research report, “Global Virtual Power Plant Market By Component, By Technology, By Source, By End Users,
By Region, Competition, Forecast & Opportunities, 2025”, the global virtual power plant market is forecast to grow at a rate of 30%
during 2020 – 2025 to reach $ 5.6 billion by 2025. Anticipated growth in the global virtual power plant market can be attributed to
growing opportunities in renewable energy and battery storage systems, rising demand for power generation from renewable sources
of energy, increase in penetration of smart grid technologies, shift from centralized to distributed generation, favorable government
initiatives to mitigate power outages and increasing demand for power in various key industries such as petroleum refining,
chemicals, metals and mining, among others.
The global virtual power plant market can be segmented based on component, technology, source, end user and region. Based on
technology, the market can be segmented into Demand Response, Distributed Generation, and Mixed Asset segments. Demand
Response segment currently holds the largest share and is expected to hold its dominance in the virtual power plant market during
the forecast period. Mixed assets technology-based virtual power plant is expected to display the highest growth during the forecast
period owing to the increasing concerns over the continuous source of power supply for bidirectional flow of electricity.
Based on source, the market can be segmented into Renewables, CHP, Energy storage, and other local generation. Renewable
sources, including solar, wind, hydro, and bio are widely used sources for virtual power plant as they are naturally occurring sources
of energy that can be easily replenished, and play an important role in reducing greenhouse gas emissions. The increasing share of
renewables in the power generation mix will positively impact the global virtual power plant market In terms of end user, the global
virtual power plant market is segmented into residential, commercial & industrial segments. Industrial end-users are among the
highest adopters of the virtual power plant setups and services, with peak load of the electricity being the highest in various industries
such as petroleum refining, chemical industry, metals, and mining, etc.
ABB Limited, AGL Energy, AutoGrid Systems Inc, Siemens AG, Schneider Electric, Enbala Power Network, Robert Bosch Gmbh,
General Electric, Comverge, Next Kraftwerke, Cisco Systems, Limejump, Flextricity are among the leading players operating in
global virtual power plant market. “North America is at the forefront of the global virtual power plant market with a huge market
concentration in the US as of 2020. However, over the next five years, the market scenario is expected to change with APAC
outperforming other regional market by a considerable margin.”, said Mr. Karan Chechi, Research Director with TechSci Research, a
research based global management consulting firm

18
Sample Data - Snapshot
5.00 6.00 7.00 8.00 9.00 10.00 11.00 12.00 13.00 14.00 15.00
2015 2019 2020E 2025F
By Value (USD Million)
Global Virtual Power Plant Market Size, By Value (USD Million), 2015–2025F
CAGR By Value
XX%
CAGR By Value
YY%
50%
50%
50%
50%
50%
50%
50%
50%
50%
50%
50%
50%
50%
50%
50%
50%
50%
50%
50%
50%
50%
50%
2015
2016
2017
2018
2019
2020E
2021F
2022F
2023F
2024F
2025F
Software Service
Europe Virtual Power Plant Market Share, By Component, By
Value, 2015–2025F
50%
50%
50%
50%
50%
50%
50%
50%
50%
50%
50%
50%
50%
50%
50%
50%
50%
50%
50%
50%
50%
50%
2015
2016
2017
2018
2019
2020E
2021F
2022F
2023F
2024F
2025F
Software Service
Germany Virtual Power Plant Market Share, By Component, By Value,
2015–2025F
33%
33%
33%
33%
33%
33%
33%
33%
33%
33%
33%
34%
34%
34%
34%
34%
34%
34%
34%
34%
34%
34%
33%
33%
33%
33%
33%
33%
33%
33%
33%
33%
33%
2015
2016
2017
2018
2019
2020E
2021F
2022F
2023F
2024F
2025F
Demand Response Distributed Generation Mixed Assetallel Axis
Germany Virtual Power Plant Market Share, By Technology, By Value, 2015–2025F

19
Report Data
Report Name: GLOBAL VIRTUAL POWER PLANT MARKET
FORECAST & OPPORTUNITIES
2015 – 2025
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About Us & Disclaimer
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number of areas to organizations. The company uses innovative business models that focus on improving productivity, while ensuring creation of high-quality
analyses of both industry-specific and macroeconomic variables on a state-by-state basis to produce a unique ‘bottom-up’ model of a country, regional and global
company activity and industry trends, the result is a uniquely rich evaluation of the opportunities available in the market.
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The contents of this report are based on information generally available to the public from sources believed to be reliable. No representation is made that it is timely,
accurate or complete. TechSci Research has taken due care and caution in compilation of data as this has been obtained from various sources including which it
considers reliable and firsthand. However, TechSci Research does not guarantee the accuracy, adequacy or completeness of any information and it is not responsible
for any errors or omissions or for the results obtained from the use of such information and especially states that it has no financial liability whatsoever to the
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