AUTOMOTIVE VOICE RECOGNITION SYSTEM MARKET SIZE AND SHARE ANALYSIS - GROWTH TRENDS AND FORECASTS (2024-2031)

Automotive Voice Recognition System Market Size and Trends

Global automotive voice recognition system market is estimated to be valued at USD 3.18 Bn in 2024 and is expected to reach USD 8.59 Bn by 2031, exhibiting a compound annual growth rate (CAGR) of 15.2% from 2024 to 2031.

To learn more about this report, Request sample copy

Rising adoption of connected vehicles and growing demand for enhanced safety and convenience features in cars can boost demand for automotive voice recognition system. The automotive voice recognition system market is expected to experience strong growth over the forecast period. Driven by increasing technological advancements to improve voice recognition accuracy through artificial intelligence and need to offer seamless connectivity experience for occupants, major automotive companies are increasingly integrating voice assistants in newer car models. Market players are focused on developing more natural and personalized voice systems to stay ahead of competition.

Increasing demand for in-car connectivity and infotainment systems

The automotive industry has witnessed tremendous changes in recent years, owing to growing consumer inclination towards an enhanced driving experience. Vehicle owners not only want a mode of transportation but an extension of their smart devices and digital lifestyle in their cars. In-car connectivity through built-in infotainment systems has emerged as a key differentiator for automakers looking to attract new buyers. Features such as navigation, voice commands, smart mobile integration through Apple CarPlay and Android Auto as well as access to various in-cabin controls are becoming must-haves for customers.

This rising demand stems from the digital habits of modern consumers who have grown accustomed to being constantly connected through their smartphones and other smart devices. Long commutes in traffic-filled cities have further amplified the need for in-vehicle entertainment and productivity options. Drivers want the ability to make calls, listen to music, get directions and traffic updates, check news or emails and stream content seamlessly within their cars without having to shift focus from the road. For passengers as well, being able to access their favorite apps and content keeps them engaged during trips.

Advanced connectivity solutions require intuitive user interfaces for optimal user experience. Voice assistants have transformed how drivers and passengers can control their infotainment systems in a way that maintains safety. Automotive manufacturers are busy integrating advanced speech recognition capabilities to support an ever-growing range of commands related to multimedia playback, navigation, telephony features and vehicle parameters. This allows occupants to stay focused on driving or relaxing without manual distractions.

To learn more about this report, Request sample copy

Rising adoption of voice recognition technology in automobiles

Beyond infotainment and connectivity, voice recognition is used across different components and systems within modern vehicles. Automakers have been developing advanced driver-assistance systems such as adaptive cruise control, lane-keep assist and self-parking abilities to enhance safety and convenience. Voice assistants can effectively work in tandem with these technologies for remote activation and adjustment of functions through natural commands. This reduces manual actions required by the driver and allows them to keep both hands on the wheel in assisted driving modes. Passengers can also benefit from mobility features tailored to their needs using just their voice.

As vehicles take over more driving tasks, occupants may spend less time paying attention to the road. In such situations, voice interfaces can play a critical role in keeping drivers engaged as supervisors through multifunctional dashboards and heads-up displays controlled by speech. Furthermore, conversations with AI assistants help identify driver alertness or distraction, a key safety parameter for self-driving cars. Voice recognition enables more natural human-vehicle communication for maintenance of driver readiness along autonomous drives.

Automakers are focusing on advanced applications of speech recognition beyond connectivity. In-car voice assistants can gain enhanced cognition to fulfil contextual information needs, execute complex multistep tasks and monitor cabin conditions & driver state through conversational interactions. This drives voice recognition as a core transforming technology in the automotive space.

For instance, In April 2023, Cerence Inc., a leading provider of AI-powered voice and conversational technology for the automotive industry, announced that Chinese smart car supplier- Banma had selected Cerence to integrate advanced in-car conversational AI and voice recognition technology for Banma’s automaker clients, including Shanghai Volkswagen Automotive Co. (SVW) and FAW-Volkswagen (FAW-VW). Cerence’s flagship conversational AI enables in-car assistants to act as proactive, trusted co-pilots, guiding drivers through their daily journeys while ensuring safety, information access, and comfort. This partnership aims to enhance the in-car experience by leveraging Cerence's innovative technologies.