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Car manufacturers have been at the forefront of the recent shift in the connected mobility landscape. For most of them, value creation is shifting from hardware (cars) to software and services. Many of them have taken initiatives to incorporate mobility as a service into their business model, on top of ownership – while competing with established leaders such as DiDi or Uber.
The future of mobility is promising to become more distributive than it was previously anticipated. Mobility encompasses a number of concepts, including sustainability and accessibility as the result of the optimum management of individuals, assets and companies transportation needs. For citizens, the benefits are clear and desirable. It allows people to move faster, farther, more safely and more comfortably. For Mobility Service Providers (MSP) the only way to stay relevant and competitive is by innovating through
- better use of the ever-growing range of datasets available
- more advanced data analytics processes.
Having access to connected car data will help MSPs incorporate as many services as possible on their platform. On the other hand, service providers that are unable to access and analyse dynamic customer data and will struggle to survive.
Indeed, the number of P2P platforms is increasing, bringing greater competition to the sharing market. OEM engagement with P2P providers will increase, as buy-to-share becomes more common. Connectivity will become an option for P2P renters and will represent an increasingly large share of the fleet. In-car connectivity and keyless entry will enable further growth in the P2P sector. P2P players will enter markets dominated by B2C operators and vice versa.
Although only a handful of car sharing schemes are currently profitable, we expect connectivity will be a key growth factor, together with the overall “Usage-Based Everything” trend. As for B2C car sharing, integrating car sharing fleets with vehicle rental fleets to deliver increased returns is key, as companies are able to respond to complimentary demand patterns.