Global Virtual Power Plant Market Size Study, by Enabling Technology (Demand Response, Distributed Generation, Mixed Asset), End-Use Customer (Commercial, Residential) and Regional Forecast, 2017-2025

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Global Virtual Power Plant Market valued approximately USD 192.5 million in 2016 is anticipated to grow with a healthy growth rate of more than 34.7% over the forecast period 2017-2025. The energy & power industry is rapidly evolving to adopt cost effective methods of electricity generation and storage. A virtual power plant is a virtual network of decentralized distribution units that aggregates power generated in various distributed power units and dispatch it through a virtual platform. Increasing pressure for cost reduction and development in smart grid technology are the primary growth factors for global virtual power plant market.

Global Virtual Power Plant MarketThe 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:

Technology:

  • Demand Response
  • Distributed Generation
  • Mixed Asset

End-User:

  • Commercial
  • Residential

Regions:

  • North America
    • U.S.
    • Canada
  • Europe
    • UK
    • Germany
  • Asia Pacific
    • China
    • India
    • Japan
  • Latin America
    • Brazil
    • Mexico
  • Rest of the World

Furthermore, years considered for the study are as follows:

Historical year – 2015

Base year – 2016

Forecast period – 2017 to 2025

Some of the key manufacturers involved in the market are ABB, Ltd., Blue Pillar, Cisco Systems, Inc., General Electric, Hitachi, Ltd., IBM, Power Analytics Corporation, Robert Bosch GmbH, Schneider Electric, Siemens AG, Toshiba Corporation, Upside Energy, Ltd.. Partnerships & Agreements are the primary strategies adopted by the key market players.

Target Audience of the Virtual Power Plant 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.           Global Virtual Power Plant Market Definition & Scope

1.1.         Research Objective

1.2.         Market Definition

1.3.         Scope of The Study

1.4.         Years Considered for The Study

1.5.         Currency Conversion Rates

1.6.         Report Limitation

Chapter 2.           Research Methodology

2.1.         Research Process

2.1.1.     Data Mining

2.1.2.     Analysis

2.1.3.     Market Estimation

2.1.4.     Validation

2.1.5.     Publishing

2.2.         Research Assumption

Chapter 3.           Executive Summary

3.1.         Global & Segmental Market Estimates & Forecasts, 2015-2025 (USD Billion)

3.2.         Key Trends

Chapter 4.           Global Virtual Power Plant Market Dynamics

4.1.         Growth Prospects

4.1.1.     Drivers

4.1.2.     Restraints

4.1.3.     Opportunities

4.2.         Industry Analysis

4.2.1.     Porter’s 5 Force Model

4.2.2.     PEST Analysis

4.2.3.     Value Chain Analysis

4.3.         Analyst Recommendation & Conclusion

Chapter 5.           Global Virtual Power Plant Market by Technology

5.1.         Market Snapshot

5.2.         Market Performance – Potential Model

5.3.         Virtual Power Plant Market, Sub Segment Analysis

5.3.1.     Demand Response

5.3.1.1. Market estimates & forecasts, 2015-2025 (USD Billion)

5.3.1.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion

5.3.2.     Distributed Generation

5.3.2.1. Market estimates & forecasts, 2015-2025 (USD Billion)

5.3.2.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)

5.3.3.     Mixed Asset

5.3.3.1. Market estimates & forecasts, 2015-2025 (USD Billion)

5.3.3.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)

Chapter 6.           Global Virtual Power Plant Market by End-User

6.1.         Market Snapshot

6.2.         Market Performance – Potential Model

6.3.         Virtual Power Plant Market, Sub Segment Analysis

6.3.1.     Commercial

6.3.1.1. Market estimates & forecasts, 2015-2025 (USD Billion)

6.3.1.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)

6.3.2.     Residential

6.3.2.1. Market estimates & forecasts, 2015-2025 (USD Billion)

6.3.2.2. Regional breakdown estimates & forecasts, 2015-2025 (USD Billion)

Chapter 7.           Global Virtual Power Plant Market, Regional Analysis

7.1.         Virtual Power Plant Market, Regional Market Snapshot (2015-2025)

7.2.         North America Virtual Power Plant Market Snapshot

7.2.1.     U.S.

7.2.1.1. Market estimates & forecasts, 2015-2025 (USD Billion)

7.2.1.2. Technology breakdown estimates & forecasts, 2015-2025 (USD Billion)

7.2.1.3. End-Use breakdown estimates & forecasts, 2015-2025 (USD Billion)

7.2.2.     Canada

7.2.2.1. Market estimates & forecasts, 2015-2025 (USD Billion)

7.2.2.2. Technology breakdown estimates & forecasts, 2015-2025 (USD Billion)

7.2.2.3. End-Use breakdown estimates & forecasts, 2015-2025 (USD Billion)

7.3.         Europe Virtual Power Plant Market Snapshot

7.3.1.     U.K.

7.3.1.1. Market estimates & forecasts, 2015-2025 (USD Billion)

7.3.1.2. Technology breakdown estimates & forecasts, 2015-2025 (USD Billion)

7.3.1.3. End-Use breakdown estimates & forecasts, 2015-2025 (USD Billion)

7.3.2.     Germany

7.3.2.1. Market estimates & forecasts, 2015-2025 (USD Billion)

7.3.2.2. Technology breakdown estimates & forecasts, 2015-2025 (USD Billion)

7.3.2.3. End-Use breakdown estimates & forecasts, 2015-2025 (USD Billion)

7.3.3.     France

7.3.3.1. Market estimates & forecasts, 2015-2025 (USD Billion)

7.3.3.2. Technology breakdown estimates & forecasts, 2015-2025 (USD Billion)

7.3.3.3. End-Use breakdown estimates & forecasts, 2015-2025 (USD Billion)

7.3.4.     Rest of Europe

7.3.4.1. Market estimates & forecasts, 2015-2025 (USD Billion)

7.3.4.2. Technology breakdown estimates & forecasts, 2015-2025 (USD Billion)

7.3.4.3. End-Use breakdown estimates & forecasts, 2015-2025 (USD Billion)

7.4.         Asia Virtual Power Plant Market Snapshot

7.4.1.     China Virtual Power Plant Market Size Estimates & Forecasts, 2015-2025 (USD Billion)

7.4.1.1. Market estimates & forecasts, 2015-2025 (USD Billion)

7.4.1.2. Technology breakdown estimates & forecasts, 2015-2025 (USD Billion)

7.4.1.3. End-Use breakdown estimates & forecasts, 2015-2025 (USD Billion)

7.4.2.     India

7.4.2.1. Market estimates & forecasts, 2015-2025 (USD Billion)

7.4.2.2. Technology breakdown estimates & forecasts, 2015-2025 (USD Billion)

7.4.2.3. End-Use breakdown estimates & forecasts, 2015-2025 (USD Billion)

7.4.3.     Japan

7.4.3.1. Market estimates & forecasts, 2015-2025 (USD Billion)

7.4.3.2. Technology breakdown estimates & forecasts, 2015-2025 (USD Billion)

7.4.3.3. End-Use breakdown estimates & forecasts, 2015-2025 (USD Billion)

7.4.4.     Rest of Asia Pacific

7.4.4.1. Market estimates & forecasts, 2015-2025 (USD Billion)

7.4.4.2. Technology breakdown estimates & forecasts, 2015-2025 (USD Billion)

7.4.4.3. End-Use breakdown estimates & forecasts, 2015-2025 (USD Billion)

7.5.         Latin America Virtual Power Plant Market Snapshot

7.5.1.     Brazil

7.5.1.1. Market estimates & forecasts, 2015-2025 (USD Billion)

7.5.1.2. Technology breakdown estimates & forecasts, 2015-2025 (USD Billion)

7.5.1.3. End-Use breakdown estimates & forecasts, 2015-2025 (USD Billion)

7.5.2.     Mexico

7.5.2.1. Market estimates & forecasts, 2015-2025 (USD Billion)

7.5.2.2. Technology breakdown estimates & forecasts, 2015-2025 (USD Billion)

7.5.2.3. End-Use breakdown estimates & forecasts, 2015-2025 (USD Billion)

7.6.         Rest of The World

7.6.1.     Market estimates & forecasts, 2015-2025 (USD Billion)

7.6.2.     Technology breakdown estimates & forecasts, 2015-2025 (USD Billion)

7.6.3.     End-Use breakdown estimates & forecasts, 2015-2025 (USD Billion)

Chapter 8.           Competitive Intelligence

8.1.         Company Market Share (Subject to Data Availability)

8.2.         Top Market Strategies

8.3.         Company Profiles

8.3.1.     ABB Ltd.

8.3.1.1. Overview

8.3.1.2. Financial (Subject to Data Availability)

8.3.1.3. Product Summary

8.3.1.4. Recent Developments

8.3.2.     Blue Pillar

8.3.3.     Cisco Systems, Inc.

8.3.4.     Comverge

8.3.5.     Cpower Energy Management

8.3.6.     General Electric

8.3.7.     Hitachi, Ltd.

8.3.8.     IBM

8.3.9.     Limejump Limited

8.3.10.   Olivene, Inc.

8.3.11.   Open Access Technology International, Inc.

8.3.12.   Power Analytics Corporation

8.3.13.   Robert Bosch GmbH

8.3.14.   Schneider Electric

8.3.15.   Siemens AG

8.3.16.   Toshiba Corporation

8.3.17.   Upside Energy, Ltd.

 

The research for Global Virtual Power Plant Market focuses deeply on the entire value chain of the market. However, the market size estimates are purely based on the consumption and demand across various end user sectors, which include, commercial and residential.

The revenue for Global Virtual Power Plant Market is calculated as sum market sizes of different technology segments such as demand response, distributed generation, mixed assets. Further, some other key data points considered to calculate the revenue for Global Virtual Power Plant Market include:

  • Revenues from key companies
  • Key company market share analysis
  • Consumer spending analysis
  • Government Regulations
  • Development in smart grid technologies

An extensive primary and secondary research has been conducted on key industry people, through questionnaires, telephonic conversations, email conversations, and interviews to verify the market estimations. Various government websites/portals and paid data sources are considered as a key source of secondary research.

We utilize a combination of bottom-up & top-down methodology for market estimations & forecasts. Additionally, we employ data triangulation techniques to verify each of the market estimates and forecasts through primary interviews and feedbacks.

All the estimates are derived from simulation models which is our proprietary technique. Each of these models is different from each other are a combination of correlation, regression and time series analysis. Each of these models is basically divided into two types namely economic and technological. Economical models are used to determine short-term market estimates and technological models are used for long-term estimates & forecasts. 

 


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