For any company to be successful, it is as important to have an efficient customer service department as it is to have a wide portfolio backed by advanced technologies. This is why with the increasing competition in every industry, companies are setting up contact centers to answer the queries of customers, solve their problems, and inform them of the new products and services on offer.

Employees working at such places have a harrowing time dealing with vast call volumes and analyzing the huge amounts of data generated during those interactions. Thus, the need to simplify contact center operations will, according to PS Intelligence, be key for the growth of the deep learning market from $3.7 billion in 2019 to $102.4 billion by 2030, at a massive 35.2% CAGR between 2020 and 2030 (forecast period).

Deep learning is a sub-technology of artificial intelligence (AI) that aims to function similar to a human brain while processing data, translating languages, and understanding speech and the emotion of callers. All this helps businesses in solving the problems of customers quickly and more effectively. At the same time, by pre-analyzing the calls, by studying the speech and emotions of customers, contact centers can direct them to human employees based on priority and the complexity of the issue being faced by customers.

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This way, most of the human employees can be freed from routine tasks and involved in more-crucial activities, such as making important business decisions and charting out growth strategies. This market research report provides a comprehensive overview of the market

• Future potential of the market through its forecast for the period 2020– 2030
• Major factors driving the market and their impact during the short, medium, and long terms
• Market restraints and their impact during the short, medium, and long terms
• Recent trends and evolving opportunities for the market participants
• Historical and the present size of the market segments and understand their comparative future potential
• Potential of on-demand logistics services, so the market players make informed decisions on the sales of their offerings