To comprehend the significance of analytics in the automotive sector, it is crucial to grasp the ongoing disruption within the sector marked by several defining factors, such as changing mobility preferences and the emergence of new technologies.

According to McKinsey, “the levels of disruption in the automotive industry coming over the next dozen years are likely to exceed those of the previous 50 or more.” Its ACES framework underlines four pillars supporting the evolution – autonomous driving, connectivity, electrification, and shared mobility.

On the one hand, the demand for autonomous vehicles is pushing OEMs to redefine their product strategy, and on the other hand, electric vehicles are seeing increased demand. Meanwhile, shared mobility and app-based transport are changing mobility consumption patterns. And all these factors are influenced by the connectivity changes across countries. 

As the auto sector witnesses its biggest evolution yet, data science, analytics, and artificial intelligence can help OEMs keep up with the changing landscape and act as a differentiator by delivering value across functions, especially marketing, sales, and operations. This article looks at how analytics delivers value in these areas.