E-Scooter Sharing Market Growth Outlook Through 2024-2033

Overview and Scope
E-scooter sharing refers to a transportation service where electric scooters are made available to the public for short-term use. This service includes providing users a way to locate and unlock e-scooters using a mobile app, ride them to their destination, and then park them in designated areas. E-scooter sharing is a convenient and environmentally friendly way to travel short distances in urban areas, providing an alternative to cars and public transportation.

Sizing and Forecast
The E-scooter sharing market size has grown rapidly in recent years. It will grow from $1.14 billion in 2023 to $1.33 billion in 2024 at a compound annual growth rate (CAGR) of 16.4%. The growth in the historic period can be attributed to urbanization, last-mile connectivity, mobile technology, investment and funding and shift towards sustainable transportation.

The E-scooter sharing market size is expected to see rapid growth in the next few years. It will grow to $2.45 billion in 2028 at a compound annual growth rate (CAGR) of 16.6%. The growth in the forecast period can be attributed to expansion into new markets, diversification of services, improvement in user experience, smart city initiatives, and micromobility hubs. Major trends in the forecast period include expansion into suburban and rural areas, dockless charging stations, subscription-based services, adoption of artificial intelligence and partnerships with local businesses.

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Segmentation & Regional Insights
The e-scooter sharing market covered in this report is segmented –

1) By Type: Free-Floating, Station-Bound
2) By Distribution Channel: Online, Offline
3) By End-User: Personal, Commercial

Europe was the largest region in the E-scooter sharing market in 2023. The regions covered in the e-scooter sharing market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

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Major Driver Impacting Market Growth
The increasing greenhouse gas and carbon emissions are expected to propel the growth of the e-scooter-sharing market going forward. Greenhouse gases trap heat in the Earth’s atmosphere, warming the planet. Carbon emissions refer to releasing carbon dioxide (CO2) into the air, mainly from burning fossil fuels like coal, oil, and gas. The emission of greenhouse gas and carbon emissions is primarily due to human activities that involve burning fossil fuels, deforestation, industrial processes, and agriculture. E-scooter-sharing services help to reduce carbon emissions by promoting sustainable transportation, reducing reliance on cars, providing last-mile connectivity, encouraging modal shifts, and lowering energy consumption. For instance, in April 2024, a report published by the United States Environmental Protection Agency (EPA), a US-based government agency, stated that in 2022, greenhouse gas emissions in the U.S. increased by 0.2% compared to the levels in 2021. Therefore, the increasing greenhouse gas and carbon emissions are driving the growth of the e-scooter-sharing market.

Key Industry Players
Major companies operating in the e-scooter sharing market are Xiaomi Corporation, Helbiz Inc., Lyft Inc., Coup Mobility GmbH, Gogoro Inc., VOI Technology, Tier Mobility, Cooltra Corporate S.L. , Hellobike , LimeBike Inc., Bird Rides Inc., Felyx B.V., GoTo Global Mobility Ltd., Beam Mobility Holdings Pte Ltd., Wheels Labs Inc. , Neuron Mobility Pte Ltd, OjO Electric LLC., Inokim Electric Scooters , Ridepanda Inc., Wind Mobility Ltd., Circ Mobility GmbH

The e-scooter sharing market report table of contents includes:

1. Executive Summary
2. E-Scooter Sharing Market Characteristics
3. E-Scooter Sharing Market Trends And Strategies
4. E-Scooter Sharing Market – Macro Economic Scenario
5. Global E-Scooter Sharing Market Size and Growth
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32. Global E-Scooter Sharing Market Competitive Benchmarking
33. Global E-Scooter Sharing Market Competitive Dashboard
34. Key Mergers And Acquisitions In The E-Scooter Sharing Market
35. E-Scooter Sharing Market Future Outlook and Potential Analysis
36. Appendix

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