Deep learning is one of the machine learning algorithms which use many layers of nonlinear processing units primarily for the data extraction and transformation. The deep learning algorithms are basically based on distributed representations. The increasing demand for improved system and human interaction acts as driving factor for the market. As the deep learning algorithms offers expert assistance and it primarily helps humans to extend their capabilities. The market has been segmented into by application which includes signal recognition and processing, data mining, machine vision, satellite and medical imaging recognition, robotics among others. The market for deep learning systems by region has been segmented into, Europe, Asia Pacific, MEA(Middle East and Africa), North America and South America.
Deep learning systems primarily develop a deep domain insight and transfer the required information to the end-users in usable way. For example, deep learning system has its huge applications in the banking and financial sector as it primarily helps bank employees to extend their work capabilities and allow banking institutions to focus more on customer interaction than the conventional transaction-based approach. Moreover, the deep learning software offers solutions on the basis on analyzing client’s background and history and provides evidence and contextual based reasoning for any problems.
With the increasing research and development activities the end use area of deep learning systems are expanding which includes defense and aerospace, healthcare, oil and gas, telecommunication and information technology, retail, banking and financial sector, automotive, industrial among others. The deep learning system has huge potential applications in medical domain for image processing drug discovery and diagnosis and identification of chronic diseases. There are few more major applications for the deep learning systems which include autonomous car, cyber security, data analytics, and fraud detection among others. Rising technological advancement in the field of media and advertisement is also fueling the growth of the deep learning systems market.
Application and usage of complex algorithms for the deep learning technology is one of the prime restraints for the market which may inhibit the growth of the market. However, advanced analytical tools which primarily deals with a massive volume of data of wide variety are enabling engineers and geoscientists in understanding the nature and extent of oil reservoirs. Increasing research activities in the field of data analytics software, the deep learning systems has huge potential opportunities in the consumer electronics field, research laboratory systems.
In 2016, North America accounted for the highest share of the deep learning systems market, followed by Europe and Asia Pacific. Robust growth in the data mining and increasing development in the data generation across end use industry verticals which include the financial services, banking and insurance (BFSI), retail, healthcare, is stimulating the growth of deep learning systems market across North America. The U.S. is dominating the market for deep learning systems across North America. In Europe, Germany, The U.K., Italy, Russia and France is contributing in the positive growth of the market. Increasing research activities and demand for high end algorithms for data processing is pushing the growth of the market.
In Asia Pacific, China, India, Australia among others is holding a prominent position in the deep learning systems market. Huge development in the information technology and telecommunication sector is considered as one of the key drivers for the market across Asia Pacific region. Brazil and Argentina both are prime contributors in the deep learning systems market in South America. Growing retail sector, advancement in the different industrial fields which include oil and gas and mining along with development in the financial sector is also boosting the market for deep learning systems in UAE, South Africa across Africa and Middle East.