The automotive ecosystem is no longer limited to traditional car manufacturers (Renault, PSA, Ford, Mercedes…) and their partners: suppliers, dealers, financiers, rental companies.
The automobile is increasingly a technological object: new entrants are disrupting the ecosystem with their culture of agile innovators, whether they are manufacturers like Tesla, software publishers and/or data specialists (Google), or more generally mobility operators, like Uber.
These new entrants master the technological bricks that can revolutionize the automobile, both in the capacities of vehicles (electricity, range) and in their uses: on-demand mobility, car sharing and integration of the car into multimodal routes.
Faced with these developments, traditional manufacturers are not disarmed:
- Tesla’s difficulties in terms of industrialisation and logistics show that the car manufacturer’s business requires complex know-how and industrial equipment;
- Even tough the automobile distribution is increasingly using digital sales tools, physical structures are still need to while to test, deliver and maintain vehicles, activities that are necessary for all forms of mobility;
- The manufacturer has privileged access to all the data generated by the vehicle (technical data, usage data – per driving hour, etc.), which makes it an essential player in mobility.
Key technological enablers
New Coverage Technologies
The multiplication of networks (cellular, satellite, mesh, etc.) with extended coverage allows the deployment of projects based on continuous data collection and transfer, both locally and internationally.
Sensors & MeMS
Microelectronics has led to fundamental advances in sensors and actuators. More compact sensors (nanotechnology), less expensive, with embedded intelligence, with more autonomy and sometimes self-sufficient in energy, allows more precise control of assets, production lines or the operation of complex systems.
Batteries & Energy Harvesting
The improvement of charging speeds and energy storage capacities allows the development of more autonomous and efficient electronic equipment, some of which can capture energy from their environment.
The Cloud brings together all the technologies that allow remote data storage and processing, often on shared solutions. The pooling of material costs and the development of platforms give any company access to flexible, high-performance, secure and cost-effective IT infrastructures and services.
Advances in molecular chemistry, nanotechnology and biotechnology are enabling the emergence of “intelligent” materials, which can be programmable, with shape memory, miniaturized or with better physical properties.
Robotic technologies allows the machine to perform operations that require an interpretation of the problem – where the automaton performs repeated and systematic operations. The multiplication of programmable and interconnected machines makes it possible to drastically expand the field of automation, or even to associate robots and humans with “Cobotics”.
Otherwise called “3D Printing”, this technology consists in creating an object or part of it by gradually adding material. Material addition techniques and the reduction of usable materials make it possible to shorten prototyping cycles and reduce costs, to manufacture more and more parts directly and decentralized, and to imagine new geometries (hollow parts, inlaid materials…) and applications (house construction…).
Machine Learning brings together all the technologies needed to automatically calibrate a model to make it more reliable. The improvement of computing power and the increase in the amount of usable data allows computers to automatically adjust their predictions and behaviors, and the development of more accurate and efficient predictive and decision-making algorithms.
Examples of eleven’s support in the industry
Definition of use cases and governance for data collected in vehicles
Market analysis and strategic perspectives for a digital sales management tool for automotive dealerships