Urban Air Mobility (UAM) Report 2020-2028 with Focus on the Top 95% of Global Markets, in the United States, Europe, and Asia

DUBLIN, May 28, 2021 /PRNewswire/ — The “Global Urban Air Mobility (UAM) – Market and Technology Forecast to 2028” report has been added to’s offering.

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The report examines the UAM markets geographically, focusing on the top 95% of global markets, in the United States, Europe, and Asia.

Urban Air Mobility (UAM) is an emerging concept that represents a significant paradigm shift for legacy aviation stakeholders. Simply put, UAM is envisioned as on-demand air transportation within core urban areas and residential suburban destinations outside city centers using new, electric-powered, vertical take-off and landing (eVTOL) aircraft.

UAM will also play an important role in rural connectivity. The UAM concept relies on the utilization of uncongested, low-altitude airspace, and at the center of UAM’s value proposition is improved transportation efficiency (i.e. reduced commuting time and road congestion through a fully integrated shared transportation system that seamlessly integrates surface and air transportation).

In this report, we analyze the market size of the Global Urban Air Mobility market for the period 2020 – 2028. We primarily focus on the key markets – the Americas, Europe, Asia, the Middle East, and Africa. As of now, the United States remains the largest market UAM. European Union and China are emerging markets.

Throughout the report, we show how UAM is used today to add real value. To provide the most thorough and realistic forecast, this report provides a twin-scenario analysis, including “steady state”, emergence of UAM aircraft technology.

Companies are now unveiling new design plans for electric Vertical Take-off and Landing (eVTOL) aircraft that can cater to the UAM market. This is because electric aircraft will reduce the cost it takes to operate aircraft, including fuel and asset costs.

Scope of the Report

1. Region: The regions discussed in this report are:

  • Americas
  • Europe
  • Asia
  • Middle East
  • Africa

2. Technology: The technologies that are of utmost importance to this industry are classified under two (2) heads:

A. UAM Software Technology:

  • Photogrammetric Software
  • Spatial Data Management Software
  • Computer Aided Design
  • Geographic Information Systems
  • Ground Control Station Software
  • Operating Systems for Drones
  • Cybersecurity

B. UAM – Hardware Technology

  • Autonomy
  • Fly by Wire
  • Sense & Avoid
  • Propulsion
  • Energy storage
  • Emissions
  • Structures
  • Safety
  • Communication
  • Active Noise Controls

3. Infrastructure: The infrastructure required to sustain UAM will include:

  • Charging Stations
  • Vertiports
  • Traffic Management
  • Pilot Training
  • Operations

4. Service: The services that UAM will provide involve:

  • Air Taxi
  • Passenger Aerial Vehicle
  • Cargo Aerial Vehicle
  • Air Ambulance

5. Platform: The major platforms in the UAM market will be:

  • Rotary Wing
  • Tilt/Wing Prop
  • Lift + Cruise
  • Tailsitter

6. Range: The two (2) main range categories are:

  • Intercity (100 Kilometers to 400 Kilometers)
  • Intracity (20 Kilometers to 100 Kilometers)

7. End-User: We focus on six (6) major end-users:

  • Ride-Sharing Companies
  • E-Commerce Companies
  • Airlines
  • Hospitals
  • Military
  • Government Organizations

Leading Companies in the Global Urban Air Mobility Market

  • Airbus Defence & Space
  • Airspace Experence Technologies
  • Alisport Srl
  • BAE Systems
  • Bell Helicopter
  • Boeing Co
  • Bye Aerospace
  • DeLorean Aerospace
  • DigiSky
  • EHang
  • Electravia – Helices E Props
  • Embraer S.A
  • Israel Aerospace Industries
  • Joby Aviation
  • Karem Aircraft
  • Leonardo
  • Lilium
  • Lockheed Martin
  • Northrop Grumman Corp
  • Saab
  • Safran
  • Thales
  • Volta Volar

For more information about this report visit

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Written by Tenner Smith

Tenner Smith - I have experience in financial intelligence and automated intelligence. In industry I have worked on artificial intelligence and machine learning. Tenner Smith is a reporter at DF media.

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