NEW YORK, Oct. 8, 2019 /PRNewswire/ —
Automotive Voice Market: Installation in New Passenger Cars in China Hit 28.7%
Read the full report: https://www.reportlinker.com/p05817141/?utm_source=PRN
As software and hardware technologies advance, voice has been a key way for people to communicate with machines, particularly in automotive field where big auto brands are racing to launch the capability.
In 2019H1, 28.7% of new passenger cars on offer in China carried voice capability, with installation soaring by 57.8% from the same period of last year; brands that largely equipped their vehicles with the function included Geely, Nissan, Buick and Changan.
In 2018, China’s automotive voice market size ballooned by 73.5% year on year. Market competition is characterized by the following:
iFLYTEK as a bellwether in the market, swept 46.5% shares, and developed joint-venture brand customers beyond homegrown automakers.
Cerance (Nuance) is a voice provider for joint-venture brands, with a market share of 24.6% in the first half of 2019. Its voice convergence solutions have been an option for several companies.
Vehicle models packing voice technology of Baidu, Alibaba and Tencent (BAT), have begun to be spawned since 2018. Among BAT, Baidu is the most aggressive; Alibaba slows down in installation; Tencent will step forward by developing voice-enabled WeChat vehicle version and applets.
As the biggest speech provider in China, iFLYTEK has established a foothold in automotive field for 16 years, with rich experience in the area. By the end of 2018, iFLYTEK had forged close partnerships with a number of OEMs, with total installations of OEM automotive voice outnumbering 15 million.
iFLYTEK is working on IVI system by virtue of superiority in speech technologies. Its Feiyu IVI system has iterated to version 2.0 adding capabilities like voiceprint and face recognition beyond multi-dimensional voice interaction functions from integrated voice recognition, natural language understanding and speech synthesis to voice wake-up, voice enhancement, intelligent search and full duplex voice. Moreover, Feiyu 2.0 provides custom-made services, for example, IVI interface can display OEM’s unique label. The system has already been mounted on Changan CS95, Haval H7, Chery Arrizo GX/EX and Dongdeng Xiaokang 580.
Nuance as the world’s largest voice provider is about to complete spin-off of its automotive business in October 2019. The separate company named as Cerence, has 70 speech models (e.g., mandarin, Cantonese and Shanghainese), 1,250 patents, and a workforce of 1,300 including 240 staffs in China.
Cerence sees a rising share in the Chinese market as it broke the barriers on localization. ECARX GKUI 19 begins to use Cerence voice enhancement technology; Cerence local voice solution also becomes available to Banma Zhixing 3.0.
Tencent lags behind Baidu and Alibaba a bit in automotive voice. In August 2019, the launch of WeChat vehicle version invigorated new vitality into Tencent. WeChat vehicle version features voice-enabled message receiving and sending and a deep integration with navigation. The availability of smartphone Bluetooth perception allows automatic login when users get in car and automatic logout when they get off. Changan CS75 Plus is currently the first model carrying vehicular WeChat. For what to do next, Tencent Auto Intelligence will roll out an applet framework designed for voice and vehicle HMI, which enables voice wake-up driven by scenario engine, with lighter cloud load.
Global and China Automotive Voice Industry Report, 2019 highlights the following:
Intelligent speech industry and market (industry chain, application scenarios, development history, market size, competitive pattern, etc.);
Global and China automotive voice markets (size, competitive pattern, development trends, major players’ layout, their development characteristics, etc.);
Chinese automotive voice suppliers (profile, operation, product system, R&D system, major clients, development plan, etc.).
Read the full report: https://www.reportlinker.com/p05817141/?utm_source=PRN
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