In my book and previous posts I build a broad case for the key role big data and AI play in next-generation mobility, and provide several examples from transportation and logistics. Next-generation mobility is about intelligent, connected vehicles that utilize some form of electrified propulsion, and on-demand shared transport services of people and goods offered through such vehicles. Many of these vehicles will be capable of autonomous movement. Next-generation mobility will help us address some of our biggest challenges, such as pollution and climate change, urbanization and congestion, aging population, and traffic fatalities, while enabling us to maintain economic prosperity by operating highly optimized supply chains that span the globe. It will give rise to new value chains. It is important to understand these value chains, and identify the new monetization opportunities they offer, particularly the opportunities to monetize the various forms of big data given its key role.
In the previous post I described a new value chain that will connect companies providing on-demand personal mobility services and three emerging models for this value chain. This value chain is the result of the consumer shift from a car ownership-centric transportation model to a hybrid model that blends car ownership with vehicle access through a combination of on-demand mobility services and public transportation. It is also based on the stated intent by the providers of certain of these services to adopt Autonomous Connected Electrified (ACE) vehicles. Various acquisitions, partnerships, including the recently announced partnerships between Waymo and Avis, and Apple and Hertz, and investments by automotive industry incumbents and by companies offering, or intend to offer, on-demand mobility services point to new ecosystems that will be developed around this value chain. In this post I provide a deeper analysis of the emerging value chain and explore investment opportunities in startups that will participate in it.
This post first appeared on 4/27/17 in O’Reilly’s site. It has been revised since it first appeared.
In my book, The Big Data Opportunity in Our Driverless Future, I make two arguments: 1) societal and urban challenges are accelerating the adoption of on-demand personal mobility, and 2) technology advances, including big data and AI, are making next-generation vehicles, and specifically Autonomous Connected and Electrified (ACE) vehicles a reality. ACE vehicles and on-demand shared personal mobility will cause three major shifts that can lead to the disruption of the automotive and transportation industries: a consumer shift, an automotive industry shift, and a mobility services shift.
In this post, I examine what is causing these shifts, one of the value chains that is emerging as a result of these shifts, big data’s and AI’s key roles in the value chain, and the models being created around this value chain.
The Consumer Electronics Show (CES) is starting later this week and will be followed by the Detroit Auto Show (DAS). Both shows will serve as venues for the automotive industry to showcase Autonomous Connected Electrified (ACE) vehicles and new Mobility Services. ACE vehicles combined with Mobility Services such as ridesharing, car sharing and multimodal transportation options will give rise to a new personal mobility model that combines car ownership with car access. These innovations and the emerging model are creating two challenges for the automotive industry.