Press release
Market Size of Automotive Voice Recognition System Industry to Reach $14.7 Billion by 2032 | Growing at a CAGR of 16.1%
An Automotive voice recognition system is a technology that allows drivers to operate numerous car operations with spoken commands. It uses voice recognition algorithms to transform spoken words into actionable commands, allowing drivers to handle services such as making phone calls, sending text messages, setting climate control, navigating, and operating entertainment systems without having to use their hands. Automotive Voice Recognition System allows hands-free operation while driving the vehicle. It improves road safety by letting drivers to control their automobiles without taking their hands off the steering wheel. This decreases distractions and allows drivers to maintain their focus on the road, lowering the risk of accidents caused by the human aspect while operating the vehicle.
๐๐๐ช๐ฎ๐๐ฌ๐ญ ๐๐๐ฆ๐ฉ๐ฅ๐ ๐๐๐ ๐๐ฌ : https://www.alliedmarketresearch.com/request-sample/A07279
There are laws and regulations passed by the various governments around the world which restrict usage of any hand-held devices while driving which creates market for the automotive voice recognition system. There are companies which are working together with the automotive manufacturers for the development and implementation of the technology in the cars. For instance, in ๐๐๐ฒ ๐๐๐๐, MG Motor India and JIO partnered to focus on seamless working of the voice recognition system on MG's Comet EV.
Drivers can speak their requests instead of browsing complex menus or tapping buttons, making it easier and faster to reach the desired functionality. This straightforward form of interaction improves the user experience and makes it easier to operate numerous vehicle functions. Automotive Voice Recognition Systems offer an alternative form of control that does not rely on fine motor skills or physical dexterity, allowing a wider spectrum of people to operate their automobiles independently. Advances in Voice recognition, natural language processing, and machine learning algorithms have increased the accuracy and performance of Automotive Voice Recognition Systems dramatically. As a result, both automakers and consumers have boosted their usage and acceptance of the technology.
Many automakers have partnered with software manufacturer to offer a seamless voice recognition system. For Instance in ๐๐๐ญ๐จ๐๐๐ซ ๐๐๐๐, Google Inc. partnered with Toyota to bring together Toyota and Lexus next-generation audio multimedia systems and Google Cloud's AI-based speech services. The system no longer requires an internet connection for natural-speech functions. Toyota latest-generation Automotive Grade Linux-based Audio Multimedia and Lexus Interface infotainment systems already leverage Google Cloud's Speech-to-Text service to accurately perform automatic speech recognition for in-vehicle queries.
Similarly, in ๐๐๐ฒ ๐๐๐๐, Kolkata based Mihup Communication and Harman International have collaborated to enable voice-controlled conversation agents in Tata Motors vehicles. The collaboration intends to improve the user experience in Tata Motors vehicles, bridge the gap between native-speaking users, and provide access to innovation. According to Mihup, while Tata Motors vehicles had an in-vehicle voice assistant, it had a restricted dictionary and no support for vernacular languages or Indian dialects. The OEM desired an embedded solution that would make the experience hands-free for drivers, accessible to the masses, and decouple voice assistance from being a luxury option.
๐๐ซ๐จ๐๐ฎ๐ซ๐ ๐๐จ๐ฆ๐ฉ๐ฅ๐๐ญ๐ ๐๐๐ฌ๐๐๐ซ๐๐ก ๐๐๐ฉ๐จ๐ซ๐ญ ๐๐จ๐ฐ : https://www.alliedmarketresearch.com/automotive-voice-recognition-system-market/purchase-options
The startup claims that its 'AVA Auto' solution eliminates all of the shortcomings of the carmaker's previous voice assistant. Among other things, it provides online, offline, and hybrid connectivity choices. Hinglish (Hindi and English) is supported by the solution. Without the requirement for a manual switch, the system responds to user voice commands. The business plans to add AVA support for Tamilish (Tamil and English) and Benglish (Bengali and English) in the near future, with the goal of covering all major Indian languages.
Organizations such as Microsoft using acquisition to as a strategy to extend its product portfolio and gain technological knowledge. For instance, in ๐๐๐ซ๐๐ก ๐๐๐๐, Microsoft acquired Nuance Communications Inc., a conversational AI and ambient intelligence firm with applications in automotive, healthcare, financial services, retail, and telecommunications. With security-focused, cloud-based products infused with powerful, vertically optimized AI, Microsoft's acquisition of Nuance will empower enterprises across industries to accelerate their business goals.
In ๐๐จ๐ฏ๐๐ฆ๐๐๐ซ ๐๐๐๐, SoundHound AI, Inc., a voice 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 both the companies collaborate to bring a natural, seamless voice AI experience to the automotive market. SoundHound will leverage its expertise in automotive voice technology to provide powerful speech recognition software to the HARMAN Ignite Store, a connected car platform that allows automakers to create, manage, and operate their own in-vehicle app store. This voice-enablement will allow drivers and passengers to easily launch and interact with the wide selection of apps and devices already available through the HARMAN Ignite Store, delivering handsfree convenience and safety.
Rise in demand for enhanced safety and regulatory requirement from the governments, and rising adoption of digital technologies supplement the growth of the automotive voice recognition system market. However, high installation cost and data security concerns are expected to hamper the growth of the market. In addition, integration of the automotive voice recognition system with other technology with and introduction of the voice commerce (V-commerce) are expected to create ample opportunities for the key players operating in the market.
๐๐ง๐ช๐ฎ๐ข๐ซ๐ ๐๐๐๐จ๐ซ๐ ๐๐ฎ๐ฒ๐ข๐ง๐ : https://www.alliedmarketresearch.com/purchase-enquiry/A07279
๐๐๐ฒ ๐ ๐ข๐ง๐๐ข๐ง๐ ๐ฌ ๐๐ ๐๐ก๐ ๐๐ญ๐ฎ๐๐ฒ :
By technology, the cloud based segment dominated the global automotive voice recognition market in 2022, in terms of growth rate.
On the basis of application, the AI segment is anticipated to exhibit a remarkable growth during the forecast period.
By vehicle type, the ICE vehicle segment is the highest contributor to the automotive voice recognition market in terms of revenue.
By vehicle class, the mid-priced segment is anticipated to exhibit a remarkable growth during the forecast period.
By region, Europe is anticipated to exhibit a remarkable growth during the forecast period.
The leading players operating in the automotive voice recognition system market are ๐๐ข๐๐ซ๐จ๐ฌ๐จ๐๐ญ, ๐๐ฉ๐ฉ๐ฅ๐ ๐๐ง๐., ๐๐จ๐จ๐ ๐ฅ๐ ๐๐ง๐., ๐๐๐, ๐๐จ๐ฎ๐ง๐๐๐จ๐ฎ๐ง๐ ๐๐ ๐๐ง๐., ๐๐๐ง๐ฌ๐จ๐ซ๐ฒ ๐๐ง๐., ๐๐๐ซ๐๐จ๐ฆ๐ ๐๐๐๐ก๐ง๐จ๐ฅ๐จ๐ ๐ฒ ๐๐๐, ๐๐ฆ๐๐ณ๐จ๐ง.๐๐จ๐ฆ, ๐๐ง๐., ๐๐๐๐๐๐ ๐๐ง๐ญ๐๐ซ๐ง๐๐ญ๐ข๐จ๐ง๐๐ฅ, ๐๐ง๐ ๐๐จ๐๐๐ซ๐ญ ๐๐จ๐ฌ๐๐ก ๐๐ฆ๐๐.
๐๐๐๐ ๐๐จ๐ซ๐ ๐๐๐ฉ๐จ๐ซ๐ญ๐ฌ :
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๐๐จ๐ง๐ญ๐๐๐ญ :
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