This year alone, enterprise data is growing at the average annual rate of 42% globally. Far-flung and close-by alike, data is experiencing unprecedented growth. Most data amasses at two locations-the multicloud and the edge. Huge data sets form an increasingly sprawling landscape-from endpoints like AV cameras to the cloud. Keep in mind that the movement of this data happens in a complicated, crowded space. In order to be useful, the data in an AV research case must travel where its insights can be gleaned: field data must get to the cloud where its driving lessons are released. Devices like cameras and lidar sensors capture massive unstructured data sets. Designing better connectivity and getting get vehicles on the road with levels 2 through 5 of autonomy is a learning process that requires tons more data. Ultimately, the success of AVs depends on how we deal with data. That’s a CAGR of 18.1% between now and 2028. And 39% consumers were interested in unlocking additional digital features after purchasing a vehicle.Īccording to a study from Fortune Business Insights, the global connected car market is projected to grow from $59.70 billion in 2021 to $191.83 billion in 2028. A 2020 survey by McKinsey found that 37% of respondents would switch car brands to achieve improvements in connectivity. Those of us behind the wheel-consumers-already have interest in increasingly connected cars and AVs. The good news for car manufacturers-and all industries for that matter-is this: Any data that boosts human flourishing has the potential to increase business value.Ĭonnected cars and autonomous vehicles (AVs) offer the promise of being easier on the environment, safer, and more open to innovation. Not enough of them though: McKinsey cautions that to date “most players have overlooked opportunities to monetize data from these vehicles-a significant oversight, considering how companies in other industries are aggressively generating value from data.” The world runs on data: successful companies recognize this.

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