Mobile speech recognition platforms to grow 68% through 2017 via cloud-based solutions, says ABI Research

Mobile speech recognition platforms to grow 68% through 2017 via cloud-based solutions, says ABI Research

As mobile speech recognition technologies continue to improve in their efficacy, the vendors of the speech technology platforms are making concerted efforts to enable the long tail of mobile application developers with speech recognition capabilities.

ABI Research notes the efforts of companies such as Nuance, AT&T, and iSpeech for exposing their APIs and developer programs as the foremost strategy in reaching the long tail of mobile applications.

"Reaching a varied group of developers working on different OS and hardware platforms makes cloud based solutions the optimum approach to enabling the masses," says mobile devices, content and applications senior analyst Michael Morgan. "It is the approach of using network based solutions that will drive the rapid increase in cloud based revenues."

Historically, mobile speech recognition was delivered to consumers through relationships between device OEMs and platform vendors. The other route to the consumer came through virtual assistant applications that were often developed by the platform vendors. Smaller application development efforts lacked the resources and expertise to bring the benefit of speech recognition to their products. This dynamic has kept speech recognition trapped in functionally specific applications.

"Leveraging the cloud as a delivery mechanism, platform vendors can enable nearly any application developer that wishes to make its user interface experience more efficient," adds mobile devices, content and applications senior practice director Jeff Orr. "ABI Research expects that consumers will first see the benefits of these efforts in mobile banking and retail applications."

Visit ABI Research at http://www.abiresearch.com.

This article originally appeared on EE Times Europe.

TAG:Mobile speech recognition market research