Start your foresight with mobility trends

What are the most important mobility trends shaping the future? Start building your own futures intelligence on top of this data set featuring trends, technologies, and innovations related to mobility.


Future of mobility

The future of mobility is a complex and rapidly evolving concept that encompasses the ways in which people and goods will move in the coming years. Technological advancements, changing consumer preferences, and environmental concerns are driving significant shifts in the transportation landscape. From self-driving vehicles and electric mobility to urbanization and mobility-as-a-service, the future of mobility holds the potential to reshape how societies, businesses, and industries operate.

Example trends in this data set

Get these pre-written mobility trends and technologies for your futures intelligence.

Vertiports and skyports

Urban areas invest in vertiports and skyports to facilitate the safe takeoff and landing of air taxis and drones, paving the way for UAM adoption.

5G-enabled V2V communication

5G technology enables ultra-fast vehicle-to-vehicle communication, improving coordination and safety on the roads.

Drone-based last-mile delivery

Delivery drones integrated into logistics networks provide fast and eco-friendly last-mile delivery solutions, transforming supply chain operations.

Seamless multi-modal journeys

MaaS platforms integrate public and private transportation options, allowing users to seamlessly switch between various modes of travel while providing a unified payment system.

Frequently asked questions

This data set includes pre-written trends and a trend radar for exploring the trends based on trend maturity and category. The trends have been generated by AI using proprietary prompts and checked for consistency, terminology accuracy, and general quality.

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FIBRES is a SaaS tool for foresight and futures intelligence. It's used for trend management and horizon scanning purposes, including collecting signals, compiling trend libraries, and building trend radars.

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AI-generated trends and trend radars

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