Speech Analytics Market Size, Key Vendors, Growth Rate, Drivers, Volume and Forecast Report

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Valuing $1,010.4 million in 2018, the speech analytics market is predicted to garner $2910.1 million, advancing a 19.9% CAGR in the coming years.

In today’s competitive world, companies are finding it difficult to engage customers for the long-term. Due to many choices available to customers, it is being observed that they are no more brand loyal. Despite being provided with a better price and product quality, customers prefer buying products from competitors, if they face any service-related problems. Therefore, customer satisfaction, in terms of product-quality, pricing, and customer services, has become a major focus area for all businesses.

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Valuing $1,010.4 million in 2018, the speech analytics market is predicted to garner $2910.1 million, advancing a 19.9% CAGR in the coming years. The applications of the speech analytics software are risk & compliance management, agent performance monitoring, call monitoring, and customer experience management.
To enhance customer experience, companies are working to improve the customer retention rate and new customer acquisition process for higher product sales. One of the ways employed by business entities is the adoption of speech analytics software that helps in the monitoring and analyzing of all the attended calls.

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The software helps organizations evaluate the responses by agents as well as keep a track of changing demands of customers and gauge their level of satisfaction.Speech analytics software reviews and analyzes live customer calls and recordings to draw an analysis of overall customer experience, and help organizations in devising strategies for enhancing customer experience.

In 2018, the largest application area of this software was customer experience management. In fact, in the near future as well, it will continue being the largest application area of speech analytics software. This can be attributed to the rising need for the evaluation of the overall customer experience and further predict the customer satisfaction score to help companies improve their product and services sales.