The global speech recognition market will grow at a compound annual growth rate of 12.1% to 2021
old Qin yeyi translation
CTI Forum () news on April 19 (Translation: this can be interpreted as that the molten resin is compressed under the molding pressure. The higher the pressure, the greater the amount of shrinkage, and the greater the elastic recovery after pressure elimination, making the size of plastic parts closer to the cavity size, so the smaller the shrinkage/old Qin) : the global market value of speech recognition technology was US $90.3 billion in 2015 and US $104.4 billion in 2016. It is expected to reach US $184.9 billion in 2021. The compound annual growth rate (CAGR) is 12.1%, especially for advanced composites. This is the data obtained from a report from BCC research
among them, the consumer market is expected to grow from $54.4 billion in 2016 to $95.9 billion in 2021, with a CAGR of 12%. The enterprise market is expected to grow from $44billion in 2016 to $79billion in 2021, with a CAGR of 12.4%
three years since BCC research released the speech recognition technology report, the market continues to expand due to the growing demand of enterprises and consumers. According to the report, the main reason for the growth is the latest progress in machine learning technology, statistical data mining technology, ubiquitous mobile devices and other technologies
the relink serial line report includes consumer entertainment, telematics, and home applications, as well as enterprise applications in military, legal, contact center, and warehouse departments. Interactive voice response, assistive technology and transcription applications used in the field of health care are also included
technology includes the whole hardware, software and equipment, as well as automatic speech recognition, speech synthesis, speaker verification, speech analysis, call center, interactive voice response, voice start mobile search, games, set-top boxes, digital signal processors, customs, MEMS and Bluetooth technology. Device applications include voice integrated navigation systems and wearable devices. Why is it still on fire? Through a lot of research, the team believes that it is a key driver of the current demand for speech recognition technology
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