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Rising Adoption of Deep Learning Algorithms in Contact Centers Fueling Expansion of Global Deep Learning Market

Depending on application, the deep learning market is categorized into natural language processing (NLP), signal recognition, image recognition, data mining, and recommendation engine. Out of these, the natural language processing category will register rapid growth in the market in the coming years, because of the growing requirement for integrating NLP and deep learning for enhancing machine-human interactions. The adoption of deep learning algorithms in NLP greatly improves the customer query understanding ability of voice assistants and chatbots.<br>

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Rising Adoption of Deep Learning Algorithms in Contact Centers Fueling Expansion of Global Deep Learning Market

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  1. Rising Adoption of Deep Learning Algorithms in Contact Centers Fueling Expansion of Global Deep Learning Market Due to the growing requirement for deep learning software in contact centers and the rising focus of businesses toward mitigating operational costs, the global deep learning market will exhibit huge expansion in the coming years, as per the estimates of P&S Intelligence, a market research firm based in India. Deep learning solutions are required in contact centers for enhancing first-call resolution, reducing call volume, reducing total call duration, and improving customer satisfaction. Get https://www.psmarketresearch.com/market-analysis/deep-learning-market-report/repor t-sample the Sample Copy of this Report @ Additionally, the deep learning technology massively reduces the problem resolution time in contact centers by efficiently routing the calls, depending on their nature, to the concerned people who have the required technical expertise and know-how to solve the query. Apart from significantly boosting the revenue of contact centers, deep learning algorithms also help businesses reduce their operational costs. This is another key factor fueling the progress of the deep learning market across the globe. The market is classified, on the basis of component, into software, hardware, and service. Amongst these, the hardware category recorded considerably high revenue growth in the

  2. deep learning market during the past few years, due to the large-scale adoption of hardware such as storage devices and graphics processing units that assist in storing huge volumes of data for deep neural networks and training various deep learning models. In the future, the software category will exhibit rapid growth in the market. Depending on application, the ​deep learning market is categorized into natural language processing (NLP), signal recognition, recommendation engine. Out of these, the natural language processing category will register rapid growth in the market in the coming years, because of the growing requirement for integrating NLP and deep learning for enhancing machine-human interactions. The adoption of deep learning algorithms in NLP greatly improves the customer query understanding ability of voice assistants and chatbots. image recognition, data mining, and Make https://www.psmarketresearch.com/send-enquiry?enquiry-url=deep-learning-market-r eport Enquiry Before Purchase @ As a result, the voice assistants and chatbots can resolve the queries more efficiently without any human intervention, which, in turn, enhances the customer experience. Globally, the deep learning market is predicted to register substantial growth in Europe and North America in the upcoming years, primarily because of the rapid technological advancements, soaring investments being made in AI-based solutions by many European governments, and the existence of numerous deep learning solutions providing companies in the regional countries. However, despite the aforementioned reasons, the growth rate of the Asia-Pacific (APAC) market will be higher than that of the European and North American markets during the next few years. The growth drivers for the APAC market are the rapid economic progress, surging investments being made in information technology (IT) facilities and infrastructure, increasing incorporation of various advanced technologies in business operations, and the rising number of AI solutions providing startups in the region. Hence, it can be safely inferred from the above paragraphs that the market will demonstrate rapid advancement throughout the world in the coming years, mainly due to the growing requirement for deep learning solutions in contact centers and the mushrooming demand for lower operational costs among businesses across the world.

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