![]() Request a Free sample to learn more about this report.Īdoption of IP-based Interactive Voice Response (IVR) in Contact Centers Trending in the MarketĬontact centers have developed from simplistic stand-alone activities distributed over a single platform to multi-site, multi-functional customer experience management systems. ![]() As speech-to-text solutions offer faster transcription, low costs, and high accuracy, it is expected that multiple enterprises might adopt these solutions to speed-up the processes such as news and speeches given by political leaders and conferences. It has led to conducting digital or virtual conferences. The speech-to-text API market is further projected to showcase considerable growth due to increasing cancellation of conferences and events by technology giants. The adoption of these solutions is expected to exhibit high adoption in industries such as healthcare, e-learning, and media & entertainment to optimize the overall execution of operations. However, the demand for such solutions is anticipated to see substantial increase due to social distancing and stay-at-home initiatives taken by the world. The company added multilingual translation functionality to the system to support real-time communication and to immediately display translations as text on screen.Ĭonsidering the current COVID-19 pandemic situation, large enterprises and small and medium enterprises (SMEs) are expected to reduce their research & development spending on speech-to-text software and solutions which might disrupt the speech-to-text developments. ![]() For instance, in 2017, Fujitsu Social Science Laboratory Limited and Fujitsu Limited developed FUJITSU Software Live Talk, which is a communication tool for the hearing-impaired. Moreover, real-time support services and popularity of transcription encourage the industry giants to develop speech-to-text API solutions. The growing popularity of smart mobile phones and smart speakers are leading to the adoption of voice enabled systems. Increasing migration towards voice-enabled applications is leveraging machine learning (ML), augmented reality (AR), and natural language processing (NLP) to automate the conversation. The global speech-to-text API market size was valued at USD 1,321.5 million in 2019 and is projected to reach USD 3,036.5 million by 2027, exhibiting a CAGR of 11.0% during the forecast period.
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