As automotive voice recognition system market is still in a nascent stage of growth, major providers are focusing their efforts on high-end and luxury vehicles where the return on investment is higher. Budget car manufacturers have been slow to integrate these systems into their affordable models due to the additional costs involved. Voice recognition technology requires advanced processors and cloud-based capabilities for deep learning and natural language processing. For price-sensitive customers, adding to the production costs can impact demand. With limited consumer awareness about the benefits, the appeal is currently higher among early adopters with more disposable income. Unless costs come down significantly or benefits are clearly demonstrated, broader proliferation into small and budget car segments can remain restricted.
Opportunity: Integration of voice recognition systems with advanced driver assistance systems (ADAS)
As autonomous driving technologies evolve through successive SAE levels, advanced driver assistance systems (ADAS) are becoming increasingly common on passenger vehicles. Features like adaptive cruise control, lane keeping assist and automated emergency braking aim to simultaneously improve safety and comfort for drivers. Integrating voice recognition capabilities with ADAS opens up new use cases for in-vehicle control and monitoring of such functions. Drivers may be able to seamlessly activate, adjust or disable autonomous modes through simple voice commands instead of manual screen options or button presses. Automakers stand to gain by offering enhanced ‘hands-free’ and ‘eyes-free’ ADAS features, which could help expand the potential market for such systems beyond luxury vehicles. Partnerships between voice technology and automotive electronics companies are likely to differentiate offerings and accelerate adoption across more affordable models.
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