As the automotive sector becomes increasingly reliant on connected and automated technologies, in-vehicle navigation and location-based services are informing much more than direction-impaired drivers. Automakers rely on these systems to ensure vehicle performance as well as passenger and vehicle safety. Today’s in-vehicle navigation features support areas such as vehicle location, advanced driver assistance system (ADAS) integrations, and intelligent speed assistance (ISA) capabilities—all of which will evolve over time to suit the ever-expanding range of automotive services. However, major limitations such as lack of customer interest, delayed integration of 5G services, and unresponsive system inter-activity are restraining the integration of advanced in-vehicle navigation services, which has a negative impact on technology adoption.
• Industry players cannot afford to ignore the clear need for automated mapping content regulated by machine learning (ML) and artificial intelligence (AI) to create behavioral analytics and assist with timely decision-making for optimized user convenience.
• Additionally, they must seek location providers that offer the necessary tools, application programming interfaces (APIs), software development kits (SDKs), applications, and historic data needed to create an enhanced in-vehicle mapping network.
• Competitors that keep pace with the quickly evolving technology and automakers’ requirements will be best positioned to find success in the field of in-vehicle automotive navigation.
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