Global Market Insights, Inc. Portable Generators Market_pdf | Page 2
Browse key industry insights spread across 434 pages with 846 market data tables & 31 figures
& charts from the report, “Global Portable Generators Market Size By Power Rating (<2 kVA,
2-3.5 kVA, 3.5-5 kVA, 5-6.5 kVA, 6.5-8 kVA, 8-15 kVA), By End-Use (Residential, Commercial,
Construction), By Phase (Single Phase, Three Phase), By Fuel (Gasoline, Diesel, Others)
Industry Analysis Report, Regional Analysis (U.S., Canada, Russia, UK, Germany, France,
Spain, Austria, Italy, Australia, Japan, China, India, Indonesia, Thailand, Philippines,
Malaysia, Singapore, Vietnam, South Korea, Saudi Arabia, UAE, Qatar, Turkey, Iran, Oman,
Egypt, Nigeria, Algeria, South Africa, Mozambique, Mexico, Chile, Argentina, Brazil),
Application Potential, Price Trend, Competitive Market Share & Forecast, 2019– 2025” in
detail along with the table of contents:
https://www.gminsights.com/industry-analysis/portable-generators-market
Three-phase portable generators are installed with minimum external circuitry and typically
possess simpler machinery and lower weight in comparison to single-phase units. Flexibility,
optimum material efficiency and efficient power supply are some of the prime features
positively influencing the business outlook.
Easier fuel availability, competitive product price, simpler operation and high portability are
the underlying features which will augment the adoption of gasoline fueled portable
generators. The rising adoption of these units is attributed to their multi-use capacity and
lower price index that will support the varying end-user requirements.
Major industry participants in the global portable gensets market comprise Kirloskar Oil Engines
Limited, Cummins, Kohler, Briggs & Stratton, Generac, Honda, Yamaha, Caterpillar, Siemens,
Atlas Copco, Champion Power Equipment and Firman Power amongst others.
Partial Chapter of the Table of Content
Report Content
Chapter 1 Methodology & Scope
1.1 Methodology
1.2 Market definitions
1.3 Market estimates & forecast parameters
1.4 Data sources
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