Sound Recognition Market is expected to reach US$ 9.70 Billion by 2028


PRESS RELEASE BY The Insight Partners 18 Oct 2022

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The sound recognition market size is expected to reach US$ 9.70 billion by 2028  and registering at a CAGR of 14.5% from 2022 to 2028, according to a new research study conducted by The Insight Partners.

Growing Demand for Fraud Detection and Prevention Systems Bolstering Sound Recognition Market

Sound Recognition Market


Sound Recognition Market Size and Forecasts (2021 - 2031), Global and Regional Share, Trends, and Growth Opportunity Analysis

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Sound Recognition Market Size and Forecasts (2021 - 2031), Global and Regional Share, Trends, and Growth Opportunity Analysis Report Coverage: by Device (Smartphones and Tablets, Smart Home Devices, Connected Cars, Hearables, and Others), Application (Automotive, Healthcare and Fitness, Smart Home, Safety and Security, and Others), and Geography (North America, Europe, Asia Pacific, and South and Central America)

Source: The Insight Partners Analysis

Banks are the institutes that continuously seek the best authentication methods to combat online fraud. They have been employing knowledge-based authentication mechanisms, such as PINs, passwords, and one-time passwords, for secure processes. Further, fraudulent activities are increasing at an alarming rate with the advent of digitization in financial businesses, contributing to the growth of sound recognition market for authentication process. Upon high-profile data thefts, including clients’ banking credentials, fraudsters may get unauthorized access to people’s bank accounts, which necessitates a second or third degree of protection in the entire financial authentication system. In the sound recognition market ecosystem, banks and financial institutions benefit from sound recognition technologies that intelligently identify users based on their voiceprints. Unlike typical text passwords and pins, voiceprints are unique to each user. Sound recognition also helps improve KYC procedures. Multilingual countries, such as those in South Asia, have schooling systems based on different languages. Sound recognition helps include people speaking different languages in a financial safety net because these solutions are independent of languages, bolstering the growth of sound recognition market.

The growing use of modern technologies such as artificial intelligence (AI), machine learning (ML), cloud computing, and data analytics, and an urge to preserve healthcare and financial data are further propelling the growth of the sound recognition market. Furthermore, in the sound recognition market ecosystem, increased urbanization and digitalization, which encourage the adoption of technology-driven systems, have benefitted the banking, financial services, and insurance (BFSI); government and public; and IT and telecom sectors. However, important information and resources used in these sectors become obvious targets of hackers. Biometrics used as access credentials require the use of unalterable, robust, and extensive algorithms to verify individuals. Biometric authentication and ongoing developments in AI-based voice recognition technology are likely to reduce the risk of replication or forgery to provide top-notch biometric security compared to speech recognition alone, bolstering sound recognition market.

There has been a notable rise in demand for software solutions in the technology sector in recent times, as they simplify component time and significantly reduce the cost of deployment. them in powering existing processes and apps. Sound recognition is more than a single solution; it is a whole data ecosystem that connects various data sources and infrastructure types across different locations (on-premises, cloud, or hybrid environments), allowing analysis without requiring time-consuming data integration. However, the need for simple, quick, and convenient user authentication is expected to influence the progress of the sound recognition market. Voice recognition software products were created to assist businesses in becoming more data-driven. Fraud detection and security management, authentication and customer, and forensic voice analysis and criminal investigation are among the primary use cases of this software. Thus, the high adoption of solution for various application as mentioned above, contributing to the growth of sound recognition market.

Wavio; Reality AI; Audio Analytic Ltd.; Abilisense; OtoSense Inc.; Nuance Communications, Inc.; Google; Microsoft Corporation; Amazon Web Services, Inc; and IBM Corporation are among the key sound recognition market players profiled during the study. Several other major companies were also studied and analyzed to get a holistic view of the sound recognition market and its ecosystem.

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