Distributed Energy Generation Market, Share & Trends Analysis Report, By Technology (Micro-turbines, Combustion Turbines, Micro-hydropower, Reciprocating Engines, Fuel Cells, Wind Turbines, Solar PV, Others), By End-use Industries (Commercial, Industrial), By Region, and Segment Forecasts, 2023-2031

Report Id: 2902 Pages: 168 Last Updated: 22 November 2024 Format: PDF / PPT / Excel / Power BI
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Segmentation of the Distributed Energy Generation Market

Global Distributed Energy Generation Market- By Technology

  • Micro-turbines
  • Combustion Turbines
  • Micro-hydropower
  • Reciprocating Engines
  • Fuel Cells
  • Wind Turbines
  • Solar PV
  • Others

energy generation

Global Distributed Energy Generation Market- By End-use Industries

  • Commercial
  • Industrial

Global Distributed Energy Generation Market – By Region

North America-

  • The US
  • Canada
  • Mexico

Europe-

  • Germany
  • The UK
  • France
  • Italy
  • Spain
  • Rest of Europe

Asia-Pacific-

  • China
  • Japan
  • India
  • South Korea
  • Southeast Asia
  • Rest of Asia Pacific

Latin America-

  • Brazil
  • Argentina
  • Rest of Latin America

 Middle East & Africa-

  • GCC Countries
  • South Africa
  • Rest of the Middle East and Africa

Chapter 1.          Methodology and Scope

1.1.        Research Methodology

1.2.        Research Scope & Assumptions

Chapter 2.          Executive Summary

Chapter 3.          Global Distributed Energy Generation Market Snapshot

Chapter 4.          Global Distributed Energy Generation Market Variables, Trends & Scope

4.1.        Market Segmentation & Scope

4.2.        Drivers

4.3.        Challenges

4.4.        Trends

4.5.        Investment and Funding Analysis

4.6.        Porter's Five Forces Analysis

4.7.        Incremental Opportunity Analysis (US$ MN), 2024-2031

4.8.        Global Distributed Energy Generation Market Penetration & Growth Prospect Mapping (US$ Mn), 2023-2031

4.9.        Competitive Landscape & Market Share Analysis, By Key Player (2023)

4.10.     Use/impact of AI on Distributed Energy Generation Industry Trends

Chapter 5.          Distributed Energy Generation Market Segmentation 1: By Technology, Estimates & Trend Analysis

5.1.        Market Share by Technology, 2023 & 2031

5.2.        Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2019 to 2031 for the following Technology:

5.2.1.    Micro-turbines

5.2.2.    Combustion Turbines

5.2.3.    Micro-hydropower

5.2.4.    Reciprocating Engines

5.2.5.    Fuel Cells

5.2.6.    Wind Turbines

5.2.7.    Solar PV

5.2.8.    Others

Chapter 6.          Distributed Energy Generation Market Segmentation 2: By End-use Industries, Estimates & Trend Analysis

6.1.        Market Share by End-use Industries, 2023 & 2031

6.2.        Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2019 to 2031 for the following End-use Industriess:

6.2.1.    Commercial

6.2.2.    Industrial

Chapter 7.          Distributed Energy Generation Market Segmentation 6: Regional Estimates & Trend Analysis

7.1.        Global Distributed Energy Generation Market, Regional Snapshot 2023 & 2031

7.2.        North America

7.2.1.    North America Distributed Energy Generation Market Revenue (US$ Million) Estimates and Forecasts by Country, 2024-2031

7.2.1.1. US

7.2.1.2. Canada

7.2.2.    North America Distributed Energy Generation Market Revenue (US$ Million) Estimates and Forecasts by Technology, 2024-2031

7.2.3.    North America Distributed Energy Generation Market Revenue (US$ Million) Estimates and Forecasts by End-use Industries, 2024-2031

7.3.        Europe

7.3.1.    Europe Distributed Energy Generation Market Revenue (US$ Million) Estimates and Forecasts by Country, 2024-2031

7.3.1.1. Germany

7.3.1.2. U.K.

7.3.1.3. France

7.3.1.4. Italy

7.3.1.5. Spain

7.3.1.6. Rest of Europe

7.3.2.    Europe Distributed Energy Generation Market Revenue (US$ Million) Estimates and Forecasts by Technology, 2024-2031

7.3.3.    Europe Distributed Energy Generation Market Revenue (US$ Million) Estimates and Forecasts by End-use Industries, 2024-2031

7.4.        Asia Pacific

7.4.1.    Asia Pacific Distributed Energy Generation Market Revenue (US$ Million) Estimates and Forecasts by Country, 2024-2031

7.4.1.1. India

7.4.1.2. China

7.4.1.3. Japan

7.4.1.4. Australia

7.4.1.5. South Korea

7.4.1.6. Hong Kong

7.4.1.7. Southeast Asia

7.4.1.8. Rest of Asia Pacific

7.4.2.    Asia Pacific Distributed Energy Generation Market Revenue (US$ Million) Estimates and Forecasts by Technology, 2024-2031

7.4.3.    Asia Pacific Distributed Energy Generation Market Revenue (US$ Million) Estimates and Forecasts By End-use Industries, 2024-2031

7.5.        Latin America

7.5.1.    Latin America Distributed Energy Generation Market Revenue (US$ Million) Estimates and Forecasts by Country, 2024-2031

7.5.1.1. Brazil

7.5.1.2. Mexico

7.5.1.3. Rest of Latin America

7.5.2.    Latin America Distributed Energy Generation Market Revenue (US$ Million) Estimates and Forecasts by Technology, 2024-2031

7.5.3.    Latin America Distributed Energy Generation Market Revenue (US$ Million) Estimates and Forecasts by End-use Industries, 2024-2031

7.6.        Middle East & Africa

7.6.1.    Middle East & Africa Distributed Energy Generation Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2031

7.6.1.1. GCC Countries

7.6.1.2. Israel

7.6.1.3. South Africa

7.6.1.4. Rest of Middle East and Africa

7.6.2.    Middle East & Africa Distributed Energy Generation Market Revenue (US$ Million) Estimates and Forecasts by Technology, 2024-2031

7.6.3.    Middle East & Africa Distributed Energy Generation Market Revenue (US$ Million) Estimates and Forecasts by End-use Industries, 2024-2031

Chapter 8.          Competitive Landscape

8.1.        Major Mergers and Acquisitions/Strategic Alliances

8.2.        Company Profiles

8.2.1.    Vestas

8.2.1.1. Business Overview

8.2.1.2. Key Product/Service Offerings

8.2.1.3. Financial Performance

8.2.1.4. Geographical Presence

8.2.1.5. Recent Developments with Business Strategy

8.2.2.    Caterpillar

8.2.3.    Capstone Green Energy Corporation

8.2.4.    Doosan Corporation

8.2.5.    Toyota Turbine and Systems

8.2.6.    Rolls-Royce Plc

8.2.7.    General Electric

8.2.8.    Mitsubishi Electric Corporation

8.2.9.    Schneider Electric

8.2.10.  Siemens Ag

8.2.11.  Ballard Power Systems Inc.

8.2.12.  Suzlon Energy Ltd.

8.2.13.  Vestas Wind Systems A/S

8.2.14.  ENERCON GmbH

8.2.15.  First Solar

8.2.16.  Sharp Corporation

8.2.17.  Tesla Inc.

8.2.18.  NextEra Energy, Inc.

8.2.19.  Canadian Solar Inc.

8.2.20.  SunPower Corporation

Research Design and Approach

This study employed a multi-step, mixed-method research approach that integrates:

  • Secondary research
  • Primary research
  • Data triangulation
  • Hybrid top-down and bottom-up modelling
  • Forecasting and scenario analysis

This approach ensures a balanced and validated understanding of both macro- and micro-level market factors influencing the market.

Secondary Research

Secondary research for this study involved the collection, review, and analysis of publicly available and paid data sources to build the initial fact base, understand historical market behaviour, identify data gaps, and refine the hypotheses for primary research.

Sources Consulted

Secondary data for the market study was gathered from multiple credible sources, including:

  • Government databases, regulatory bodies, and public institutions
  • International organizations (WHO, OECD, IMF, World Bank, etc.)
  • Commercial and paid databases
  • Industry associations, trade publications, and technical journals
  • Company annual reports, investor presentations, press releases, and SEC filings
  • Academic research papers, patents, and scientific literature
  • Previous market research publications and syndicated reports

These sources were used to compile historical data, market volumes/prices, industry trends, technological developments, and competitive insights.

Secondary Research

Primary Research

Primary research was conducted to validate secondary data, understand real-time market dynamics, capture price points and adoption trends, and verify the assumptions used in the market modelling.

Stakeholders Interviewed

Primary interviews for this study involved:

  • Manufacturers and suppliers in the market value chain
  • Distributors, channel partners, and integrators
  • End-users / customers (e.g., hospitals, labs, enterprises, consumers, etc., depending on the market)
  • Industry experts, technology specialists, consultants, and regulatory professionals
  • Senior executives (CEOs, CTOs, VPs, Directors) and product managers

Interview Process

Interviews were conducted via:

  • Structured and semi-structured questionnaires
  • Telephonic and video interactions
  • Email correspondences
  • Expert consultation sessions

Primary insights were incorporated into demand modelling, pricing analysis, technology evaluation, and market share estimation.

Data Processing, Normalization, and Validation

All collected data were processed and normalized to ensure consistency and comparability across regions and time frames.

The data validation process included:

  • Standardization of units (currency conversions, volume units, inflation adjustments)
  • Cross-verification of data points across multiple secondary sources
  • Normalization of inconsistent datasets
  • Identification and resolution of data gaps
  • Outlier detection and removal through algorithmic and manual checks
  • Plausibility and coherence checks across segments and geographies

This ensured that the dataset used for modelling was clean, robust, and reliable.

Market Size Estimation and Data Triangulation

Bottom-Up Approach

The bottom-up approach involved aggregating segment-level data, such as:

  • Company revenues
  • Product-level sales
  • Installed base/usage volumes
  • Adoption and penetration rates
  • Pricing analysis

This method was primarily used when detailed micro-level market data were available.

Bottom Up Approach

Top-Down Approach

The top-down approach used macro-level indicators:

  • Parent market benchmarks
  • Global/regional industry trends
  • Economic indicators (GDP, demographics, spending patterns)
  • Penetration and usage ratios

This approach was used for segments where granular data were limited or inconsistent.

Hybrid Triangulation Approach

To ensure accuracy, a triangulated hybrid model was used. This included:

  • Reconciling top-down and bottom-up estimates
  • Cross-checking revenues, volumes, and pricing assumptions
  • Incorporating expert insights to validate segment splits and adoption rates

This multi-angle validation yielded the final market size.

Forecasting Framework and Scenario Modelling

Market forecasts were developed using a combination of time-series modelling, adoption curve analysis, and driver-based forecasting tools.

Forecasting Methods

  • Time-series modelling
  • S-curve and diffusion models (for emerging technologies)
  • Driver-based forecasting (GDP, disposable income, adoption rates, regulatory changes)
  • Price elasticity models
  • Market maturity and lifecycle-based projections

Scenario Analysis

Given inherent uncertainties, three scenarios were constructed:

  • Base-Case Scenario: Expected trajectory under current conditions
  • Optimistic Scenario: High adoption, favourable regulation, strong economic tailwinds
  • Conservative Scenario: Slow adoption, regulatory delays, economic constraints

Sensitivity testing was conducted on key variables, including pricing, demand elasticity, and regional adoption.

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Frequently Asked Questions

The Distributed Energy Generation Market Size is valued at USD 372.6 Bn in 2023 and is predicted to reach USD 970.8 Bn by the year 2031

The Distributed Energy Generation Market is expected to grow at an 12.9% CAGR during the forecast period for 2024-2031.

Vestas, Caterpillar, Capstone Green Energy Corporation, Doosan Corporation, Toyota, Turbine and Systems, Rolls-Royce Plc, General Electric, Mitsubishi

Technology, and End-use Industries are the key segments of the Distributed Energy Generation Market.

Asia Pacific region is leading the Distributed Energy Generation Market.

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