The latest research by TrendForce's Tuoba Industrial Research Institute pointed out that the development of artificial intelligence technology in 2017 still does not deviate from the two major axes of “voice recognition†and “image recognitionâ€. Among the voice recognition part, under the promotion of voice assistants, it is estimated that the global voice recognition output value will show rapid growth, from US$2.613 billion in 2016 to US$15.979 billion in 2021, with a compound annual growth rate of 43.64%.
Voice Assistant Factory actively infiltrates various smart products and competes with the Internet of Things voice control platform
Tuoba Industrial Analyst Lin Wei said that with CES 2017 as an example, although Amazon did not release any products at the show, its voice assistant Alexa has become the biggest highlight because of its successful combination with many manufacturers' smart products. Separating Alexa from Echo from Amazon and releasing the API and SDK of Alexa Voice Assistant technology, it can be seen that Amazon has long been optimistic about the market potential of voice operating platforms, and hopes to make Alexa a voice control platform for many Internet of Things (IoT) products. To gain the right to speak in the Internet of Things market.
Compared to other competitors, Amazon's Alexa has taken the lead in the industry. Lin Biao said that even though Apple's Siri has the earliest development history, the Internet of Things is centered on the iPhone or other in-house products, and the platform is less open; while Google has adopted open practices and even launched Google Home and Google. Assistant competes with Amazon, but the software and hard integration capabilities are still not as good as Amazon; Microsoft's Cortana is the latest development time, and currently lags behind the top three in market introduction. However, Microsoft has also announced that it can convert its competitor Alexa's code to support Cortana, so that there is still a chance for change in the future competitive situation.
Self-driving demand leads the development of image recognition hardware, and upstream chip factory NVIDIA takes the leadIn recent years, the topic of autonomous vehicles has been hot, which has also led the development of the image recognition market. Observing CES 2017, traditional car manufacturers such as Ford, BMW, Nissan, and Hyundai, as well as startups such as Faraday Future, are actively exhibiting self-driving technology. The self-driving system and core hardware manufacturers, such as NXP, NVIDIA, Mobileye, Delphi, etc., also exhibited the latest self-driving application products, actively attacking the self-driving market that is being fermented.
Lin Biao pointed out that at present, the auto-driving part of the auto-driving car is still in a state of unclear warfare in the market. On the contrary, the competition status of the manufacturers providing upstream chips is relatively clear, and the products have been introduced into the Tesla electric car and exhibited BB8 automatically. NVIDIA, the driving force of the car, is the most indicative. In addition, from the self-driving BB8 on display, NVIDIA actively builds a system platform in addition to the leading GPU strength to provide a more complete solution.
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