Automotive Speech Recognition Market: Technology

According to a new report by Allied Market Research titled “Automotive Voice Recognition Systems Market,” there are currently 60,000 new vehicles in use. 𝐯𝐚𝐥𝐮𝐤𝐭𝐞𝐝 𝐚𝐭 $𝟑.𝟒 𝐛𝐢𝐥𝐥𝐢𝐨𝐧 𝟐𝟎𝟐, 𝐚𝐧𝐝 𝐢𝐬 𝐞𝐬𝐭𝐢𝐦𝐚𝐭𝐞𝐝 𝐭𝐨 𝐫𝐞𝐚𝐜𝐡𝐞𝐠𝐡𝐞𝐫 𝐭𝐨 𝐫𝐞𝐚𝐜𝐡𝐞𝐫 $𝟏𝟒.𝟕 𝐛𝐢𝐥𝐥𝐢𝐨𝐧 𝐛𝐲 𝟐𝟎𝟑𝟐, 𝐠𝐫𝐨𝐰𝐢𝐧𝐠 𝐚𝐭 𝐂𝐀𝐆𝐑 𝟏𝟔.𝟏% 𝐟𝐫𝐨𝐦 𝟐𝟎𝟐𝟑 𝐭𝐨 𝟐𝟎𝟑𝟐.

A car voice recognition system is a technology that allows drivers to control numerous car functions using spoken commands. It uses speech recognition algorithms to convert spoken words into actionable commands, allowing drivers to perform services such as making phone calls, sending text messages, adjusting the air conditioning, navigating, and operating entertainment systems without having to use their hands. A car voice recognition system enables hands-free operation while driving. It improves road safety by allowing drivers to control their car without having to take their hands off the steering wheel. This reduces distractions and allows drivers to focus on the road, reducing the risk of accidents caused by human influence while operating the vehicle.

𝐆𝐞𝐭 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐑𝐞𝐩𝐨𝐫 𝐒𝐚𝐦𝐩𝐥𝐞 𝐏𝐚𝐠𝐞𝐬 & 𝐓𝐎𝐂: https://www.alliedmarketresearch.com/request-sample/A07279

There are laws and regulations across the world that restrict the use of handheld devices while driving. This creates a market for voice recognition systems in cars. There are companies that are collaborating with the car manufacturers to develop the technology and implement it in cars. For example, MG Motor India and JIO have joined hands in 𝐌𝐚𝐲 𝟐𝟎𝟐𝟑 to work on the smooth functioning of the voice recognition system in the MG Comet EV.

Drivers can speak their wishes instead of scrolling through complex menus or tapping buttons, making it easier and faster to reach the desired function. This straightforward form of interaction improves the user experience and makes it easier to operate many vehicle functions. Automotive voice recognition systems offer an alternative form of control that does not require fine motor skills or physical dexterity, allowing a wider range of people to operate their car independently. Advances in speech recognition, natural language processing and machine learning algorithms have dramatically improved the accuracy and performance of automotive voice recognition systems. As a result, both automakers and consumers have increased the use and adoption of the technology.

Many automakers have partnered with software vendors to offer a seamless speech recognition system. For example, Google Inc. partnered with Toyota in 𝐎𝐜𝐭𝐨𝐛𝐞𝐫 𝟐𝟎𝟐𝟐 to merge Toyota and Lexus’ next-generation audio multimedia systems with Google Cloud’s AI-based speech services. The system no longer requires an internet connection for natural speech functions. Toyota’s latest generation of Automotive Grade Linux-based audio multimedia systems and Lexus Interface infotainment systems already use Google Cloud’s Speech-to-Text service to perform accurate automatic speech recognition for in-vehicle queries.

Similarly, Kolkata-based Mihup Communication and Harman International have collaborated on 𝐌𝐚𝐲 𝟐𝟎𝟐𝟏 to enable voice-activated interlocutors in Tata Motors vehicles. The collaboration aims to improve the user experience in Tata Motors vehicles, bridge the gap between native-speaking users and provide access to innovations. According to Mihup, while Tata Motors vehicles had an in-built voice assistant, it had a limited dictionary and no support for local languages ​​or Indian dialects. The OEM wanted an embedded solution that would make the experience hands-free for drivers and accessible to the masses, separating voice assistance from a luxury option.

𝐏𝐫𝐨𝐜𝐮𝐫𝐞 𝐂𝐨𝐦𝐩𝐥𝐞𝐭𝐞 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐑𝐞𝐩𝐨𝐫𝐭 𝐍𝐨𝐰: https://www.alliedmarketresearch.com/automotive-voice-recognition-system-market/purchase-options

The startup claims that its solution ‘AVA Auto’ eliminates all the shortcomings of the automaker’s previous voice assistant. Among other things, it offers online, offline and hybrid connectivity options. Hinglish (Hindi and English) is supported by the solution. Without the need for a manual switch, the system responds to the user’s voice commands. The company plans to add AVA support for Tamil (Tamil and English) and Benglish (Bengali and English) in the near future, with the aim of covering all major Indian languages.

Companies like Microsoft use acquisitions as a strategy to expand their product portfolio and gain technological knowledge. For example, in 2017, Microsoft acquired Nuance Communications Inc., a conversational AI and ambient intelligence company with applications in automotive, healthcare, financial services, retail, and telecommunications. With security-focused, cloud-based products powered by powerful, vertically optimized AI, Microsoft’s acquisition of Nuance will help companies across all industries achieve their business goals faster.

In February, SoundHound AI, Inc., a speech artificial intelligence company, and HARMAN International, a wholly owned subsidiary of Samsung Electronics Co., Ltd. focused on connected technologies and solutions for the automotive, consumer and enterprise markets, announced that the two companies are collaborating to bring a natural, seamless voice AI experience to the automotive market. SoundHound will leverage its expertise in automotive speech technology to provide powerful speech recognition software for the HARMAN Ignite Store, a connected car platform that enables automakers to create, manage and operate their own in-vehicle app store. This voice activation allows drivers and passengers to easily launch and interact with the wide range of apps and devices already available through the HARMAN Ignite Store, providing hands-free convenience and safety.

Rising demand for enhanced safety and regulatory requirements by governments along with increasing use of digital technologies are aiding the growth of the automotive voice recognition system market. However, high installation costs and concerns regarding data security are expected to hamper the growth of the market. Moreover, integration of automotive voice recognition system with other technologies and introduction of voice commerce (V-commerce) is expected to provide ample opportunities to the key players in the market.

𝐈𝐧𝐪𝐮𝐤𝐫𝐞 ​​𝐁𝐞𝐟𝐨𝐫 𝐓𝐇𝐄𝐋𝐄𝐑: https://www.alliedmarketresearch.com/purchase-enquiry/A07279

𝐊𝐞𝐢𝐧𝐝𝐢𝐧𝐠𝐬 𝐎𝐟 𝐓𝐡𝐞 𝐒𝐭𝐮𝐤𝐭𝐨𝐝:

Technologically, the cloud-based segment dominated the global automotive speech recognition market in terms of growth rate in 2022.

Based on application, the AI ​​segment is expected to exhibit remarkable growth during the forecast period.

By vehicle type, the combustion engine vehicle segment makes the largest revenue contribution to the automotive speech recognition market.

Looking at vehicle classes, the mid-price segment is expected to show remarkable growth during the forecast period.

At the regional level, Europe is expected to experience remarkable growth during the forecast period.

The leading players in Automotive Voice Recognition System Market are 𝐌𝐢𝐜𝐫𝐨𝐬𝐨𝐟𝐭, 𝐀𝐩𝐩𝐥𝐞 𝐈𝐧𝐜., 𝐆𝐨𝐨𝐠𝐥𝐞 𝐈𝐧𝐜., 𝐈𝐁𝐌, 𝐒𝐨𝐮𝐧𝐝𝐇𝐨𝐮𝐧𝐝 𝐀𝐈 𝐈𝐧𝐜., 𝐒𝐞𝐧𝐬𝐨𝐫𝐲 𝐈𝐧𝐜., 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲 𝐋𝐓𝐃, 𝐀𝐦𝐚𝐳𝐨𝐧.𝐜𝐨𝐦, 𝐈𝐧𝐜., 𝐇𝐀𝐑𝐌𝐀𝐍 𝐈𝐧𝐭𝐞𝐫𝐧𝐚𝐭𝐢𝐨𝐧𝐚𝐥, 𝐚𝐧𝐝𝐞𝐫𝐧𝐚𝐭 𝐑𝐨𝐛𝐞𝐫 𝐁𝐨𝐬𝐢𝐧𝐝 𝐆𝐦𝐛𝐞𝐫.

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𝐂𝐨𝐧𝐭𝐚𝐜𝐭:

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𝐀𝐛𝐨𝐮𝐤𝐭 𝐮𝐤𝐭:

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