The demand for deep learning software will surge in the coming years. This will be because businesses and organizations around the world are increasingly using scalable deep learning software for several applications such as image recognition, signal recognition, and voice assistance.
Image recognition, signal recognition, recommendation engine, data mining, and natural language processing (NLP) are the major application areas of deep learning solutions. Amongst these, the usage of this technology was the highest for image recognition. This was ascribed to the huge requirement for deep learning solutions for image recognition applications, on account of their ability to identify and detect objects and analyze digital images effectively and efficiently.
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This will be due to the rapid economic progress of the regional countries such as India and China, the surging investments being made in the information technology (IT) infrastructure, the rising usage of advanced and innovative technologies, and the establishment of several AI (artificial intelligence) technology-based startups in the region.
Across the globe, the demand for deep learning market is predicted to soar in Europe and North America in the forthcoming years. This is credited to the rapid technological advancements, the soaring investments being made in AI technologies, and the existence of leading industry players in these regions. The popularity of the deep learning technology is also predicted to shoot up in the Asia-Pacific (APAC) region in the upcoming years.
Hence, it can be said with full surety that the demand for deep learning solutions will rise enormously all over the world in the upcoming years, primarily because of their growing adoption in contact centers for better customer management.
