Voice Assistant Application Market Size

Voice Assistant Application Market Analysis

The voice assistant application market is projected to grow at 27.3% CAGR during the forecast period. A voice assistant is primarily a digital assistant built using AI, machine learning, and voice recognition technologies. Voice assistant applications can follow voice commands and assist in doing routine work like placing an online order, scheduling an appointment, switching on connected lights, and acting as a hassle-free facilitator for texting or calling.

• According to the "Cisco Annual Internet Report," the number of devices connected to internet networks will be more than three times the worldwide population by this year. As per the report, there will be approximately 3.6 networked devices per capita by this year, up from 2.4 devices per capita in 2018. Also, it further projects that there will be 29.3 billion networked devices by this year, up from 18.4 billion in 2018. Various new devices in different form factors with improved capabilities and intelligence are developed and adopted in the market every year. As the connected devices count increases, voice assistant application solutions will be adopted.
• Some voice assistant applications which have gained recognition across all sectors are Apple's Siri, Microsoft's Cortana, and Google's Assistant. Moreover, small and medium enterprises are also involved in driving intelligent voice assistant technology, thereby emerging as crucial participants in the voice assistant application market.
• Voice-based systems, which allow users to speak a query, have become increasingly common among businesses. However, voice-based technologies are known as bandwidth hogs and can efficiently overburden network performance, specifically if they use a cloud-based infrastructure. This is expected to harm voice-based technology adoption for businesses struggling with such issues. Edge computing is one of the promising technologies that can support voice-assisted devices. Edge computing technology places high-performance storage and network resources as close as possible to the end users and devices.
• Customers can only receive assistance from voice assistants fed with precise data when they ask inquiries that are preprogrammed to be answered. As a result, if a client asks a question about which the voice assistant is in the dark, it won't be able to understand what they mean and won't be able to respond to their question. People favor their regional languages above English for daily communications in nations with several regional languages, such as Indonesia and India. In India, improvements in speech recognition have made it possible to comprehend Indian regional languages better.
• At the time of the COVID-19 pandemic, popular voice assistant applications offered fairly straightforward insights on rising case trends, safety instructions from the World Health Organization (WHO), Centers for Disease Control and Prevention (CDC), and National Institutes of Health (NIH).