| Product Code: ETC9964758 | Publication Date: Sep 2024 | Updated Date: Aug 2025 | Product Type: Market Research Report | |
| Publisher: 6Wresearch | Author: Vasudha | No. of Pages: 75 | No. of Figures: 35 | No. of Tables: 20 |
1 Executive Summary |
2 Introduction |
2.1 Key Highlights of the Report |
2.2 Report Description |
2.3 Market Scope & Segmentation |
2.4 Research Methodology |
2.5 Assumptions |
3 United States (US) E-Scooter Sharing Market Overview |
3.1 United States (US) Country Macro Economic Indicators |
3.2 United States (US) E-Scooter Sharing Market Revenues & Volume, 2021 & 2031F |
3.3 United States (US) E-Scooter Sharing Market - Industry Life Cycle |
3.4 United States (US) E-Scooter Sharing Market - Porter's Five Forces |
3.5 United States (US) E-Scooter Sharing Market Revenues & Volume Share, By Type, 2021 & 2031F |
3.6 United States (US) E-Scooter Sharing Market Revenues & Volume Share, By Distribution Channel, 2021 & 2031F |
4 United States (US) E-Scooter Sharing Market Dynamics |
4.1 Impact Analysis |
4.2 Market Drivers |
4.2.1 Increasing awareness and adoption of eco-friendly transportation options |
4.2.2 Growing urbanization and traffic congestion in major cities |
4.2.3 Government initiatives promoting sustainable transportation solutions |
4.3 Market Restraints |
4.3.1 Safety concerns and regulatory challenges related to e-scooter use |
4.3.2 Lack of infrastructure to support e-scooter sharing services in some areas |
4.3.3 Competition from other modes of transportation such as bike-sharing and ride-sharing services |
5 United States (US) E-Scooter Sharing Market Trends |
6 United States (US) E-Scooter Sharing Market, By Types |
6.1 United States (US) E-Scooter Sharing Market, By Type |
6.1.1 Overview and Analysis |
6.1.2 United States (US) E-Scooter Sharing Market Revenues & Volume, By Type, 2021- 2031F |
6.1.3 United States (US) E-Scooter Sharing Market Revenues & Volume, By Free-Floating, 2021- 2031F |
6.1.4 United States (US) E-Scooter Sharing Market Revenues & Volume, By Station-Bound, 2021- 2031F |
6.2 United States (US) E-Scooter Sharing Market, By Distribution Channel |
6.2.1 Overview and Analysis |
6.2.2 United States (US) E-Scooter Sharing Market Revenues & Volume, By Online, 2021- 2031F |
6.2.3 United States (US) E-Scooter Sharing Market Revenues & Volume, By Offline, 2021- 2031F |
7 United States (US) E-Scooter Sharing Market Import-Export Trade Statistics |
7.1 United States (US) E-Scooter Sharing Market Export to Major Countries |
7.2 United States (US) E-Scooter Sharing Market Imports from Major Countries |
8 United States (US) E-Scooter Sharing Market Key Performance Indicators |
8.1 Average trip distance per e-scooter |
8.2 Average number of rides per day per e-scooter |
8.3 Percentage of e-scooters utilized during peak hours |
8.4 Average customer rating of e-scooter sharing service |
8.5 Number of partnerships with local governments for infrastructure development |
9 United States (US) E-Scooter Sharing Market - Opportunity Assessment |
9.1 United States (US) E-Scooter Sharing Market Opportunity Assessment, By Type, 2021 & 2031F |
9.2 United States (US) E-Scooter Sharing Market Opportunity Assessment, By Distribution Channel, 2021 & 2031F |
10 United States (US) E-Scooter Sharing Market - Competitive Landscape |
10.1 United States (US) E-Scooter Sharing Market Revenue Share, By Companies, 2024 |
10.2 United States (US) E-Scooter Sharing Market Competitive Benchmarking, By Operating and Technical Parameters |
11 Company Profiles |
12 Recommendations |
13 Disclaimer |
Export potential enables firms to identify high-growth global markets with greater confidence by combining advanced trade intelligence with a structured quantitative methodology. The framework analyzes emerging demand trends and country-level import patterns while integrating macroeconomic and trade datasets such as GDP and population forecasts, bilateral import–export flows, tariff structures, elasticity differentials between developed and developing economies, geographic distance, and import demand projections. Using weighted trade values from 2020–2024 as the base period to project country-to-country export potential for 2030, these inputs are operationalized through calculated drivers such as gravity model parameters, tariff impact factors, and projected GDP per-capita growth. Through an analysis of hidden potentials, demand hotspots, and market conditions that are most favorable to success, this method enables firms to focus on target countries, maximize returns, and global expansion with data, backed by accuracy.
By factoring in the projected importer demand gap that is currently unmet and could be potential opportunity, it identifies the potential for the Exporter (Country) among 190 countries, against the general trade analysis, which identifies the biggest importer or exporter.
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