Data Fuels the Future.

2TB by 2025

It is expected that a level 4 and level 5 autonomous vehicle will need 2TB or more of onboard storage1

115M by 2025

It’s estimated that there will be 115 million connected vehicle shipments around the world by 20252

Along with AI and sophisticated sensor arrays, the automotive industry will require growing amounts of data storage to keep up with an explosion of new in-car applications and vehicle-to-everything connectivity. The future of connected and fully autonomous vehicles depends on the ability of tech companies to continue to deliver high-performance, high-capacity, high-endurance, and reliable storage.

SOURCE: Data storage and AI are driving the evolution of autonomous cars by Huibert Verhoeven, Western Digital (VentureBeat, 2020)


Data Disrupts Auto & Transportation Industries

The automotive and transportation industries are on the cusp of a disruptive technology phase. Vehicles are not simply mechanical engines but are now data centers on wheels, driving a new generation of storage infrastructure needs. As cars become connected and autonomous, massive amounts of data are being created and consumed. This requires new approaches in data processing that improve communications and interactions between humans and vehicles, vehicles and vehicles (V2V), and vehicles and infrastructures (V2I), while enabling a better and safer driving experience. This places massive demands on data storage and processing in the vehicle and in edge compute servers while pushing the boundaries of cloud-based services in the core.


Data Fuels the Future of Automotive and Transportation

The automotive and transportation industries are investing in new data center infrastructures and edge technologies that extract immediate intelligence from captured data, not only to enhance the driving experience, but to also make it safer. This creates a need for new storage in network and computing infrastructures that combine cloud services with in-car computing power to handle the massive amounts of data collected by connected cars.


Do You Know Your Storage Workloads?

Real-life workload analysis is a crucial step in determining the best-fit storage device for your automotive applications. Performing workload analysis will help you identify unexpected behaviors, apply prevention actions and assure the storage’s compatibility to meet the system requirements.


Western Digital Offers a Proven Portfolio of Automotive-Grade Products Designed for the Evolving Market Requirements of Connected and Autonomous Vehicles

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