Car Pool of the Future: 11 Million Shared Driverless Cars by 2030 and 35 Million Car-Sharing Registered Users by 2021

Driverless_Cars_Shared_ABI

ABI Research:

Fully driverless technology will spark a transformation of personal mobility, enabling consumers to abandon costly vehicle ownership and summon shared vehicles when needed. ABI Research predicts that this will transform the vehicle interior, which car manufacturers will design to be reconfigurable per the individual needs and preferences of whoever is using the vehicle at the time…

ABI Research forecasts that there will be more than 11 million shared driverless vehicles operating on the roads globally by 2030, serving an average of 64 users per shared driverless vehicle.

Boston Consulting Group:

The size of the urban population and the number of licensed drivers will determine the growth of car sharing in Europe, North America, and Asia-Pacific.

In Europe, some 81 million people will be living in large urban areas in 2021, 46 million of whom will have a valid driver’s license. About 14 million people will be registered with a car-sharing service and 1.4 million of them will be heavy users who take multiple trips per month. The North American urban population is expected to reach 50 million by 2021; 31 million people will be licensed drivers, of whom 6 million will be registered users of a car-sharing service. Some 600,000 people will be heavy users. Asia-Pacific’s urban population will grow to 253 million, and there will be 75 million licensed drivers. Roughly 15 million will be registered with sharing services, and 1.5 million will use them for multiple monthly trips.

 

About GilPress

I'm Managing Partner at gPress, a marketing, publishing, research and education consultancy. Also a Senior Contributor forbes.com/sites/gilpress/. Previously, I held senior marketing and research management positions at NORC, DEC and EMC. Most recently, I was Senior Director, Thought Leadership Marketing at EMC, where I launched the Big Data conversation with the “How Much Information?” study (2000 with UC Berkeley) and the Digital Universe study (2007 with IDC). Twitter: @GilPress
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