What is Connected Car Data?

Connected cars generate car data attributes that specify many variables – location, engine status, speed, if a door was locked, and much more. Car data is generated from the vehicle’s electronic control units (ECUs), Controller Access Networks (CANs), and even infotainment systems. Much of that data is technical in nature, and of little use without further treatment. However, as the mobility economy is growing, accessing data and making it usable is crucial for the growth of the entire mobility industry – from smart cities and traffic management to insurance to electric vehicles to safety services, and much more. 

Connected Car Data Is Growing Fast

It is projected that by 2025, there will be over 400 million connected vehicles on the road, up from some 237 million in 2021. By 2030, 96% of all vehicles will be connected. That is practically all vehicles on the road computerized and sending data to the cloud. There are billions of connected car data points being ingested, and these datasets are growing fast. 

Connected Car Data Create Rewarding Mobility Experiences 

In parallel with connected car adoption, expectations about the driving experience are shifting, as drivers and passengers increasingly expect the as-a-service economy to reach them while on the road. The current shifts in the mobility economy mean that getting from one point to the next may not be solely dependent on cars but include a wider multi-modal experience and multiple points of contact with the mobility economy along the way.   

KPMG’s Global Automotive Executive Survey 2021 found that seamless purchase and ownership experience will be even more important than vehicle performance in consumers’ buying decisions, and 84% of respondents believe that by 2030 the subscriptions will become a competitive offering to ownership – making Mobility as a Service (MaaS) commonplace.  


Making Connected Car Data Useful 

Connected car data was designed for vehicle operations, not for powering mobility services. In order for it to be effectively used in apps and services and to power the mobility economy, raw data requires additional processing. Connected car data must be: 

  • Acquired, cleaned, secured, and stored in a secure system 
  • Normalized to a consistent format understood by mobility services 
  • Analyzed and reshaped for signals and insights to be actionable 
  • Restructured to meet the consumer privacy preferences and expectations 

Car data adds a unique layer of smart data and knowledge for decision makers and developers to gain insights about what’s happening on the road and in the car. By adding new data layers from ultrasonic car sensors, ADAS systems and EVs, service providers can identify parking opportunities and dynamic road signs, and assess charging location quality, for example. Then, they can make the best in-car recommendations for drivers. 

Otonomo makes connected car data useable and valuable

The Otonomo Automotive Data Services Platform makes connected car data much more valuable for mobility services and applications.



Otonomo makes connected car data useable and valuable

The Otonomo Automotive Data Services Platform makes connected car data much more valuable for mobility services and applications.

Connected Car Data Demands Privacy by Design

Some connected car data, such as VIN or location, can be personal data owned by drivers who expect to have control over how this data gets used. Therefore, services based on the data generated by connected cars – and the automotive OEMs and data providers that manage connected car data – must take a proactive approach to privacy and security.  Read the Otonomo Driver Pledge. 


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