Global deep learning market

Posted by occams on May 3rd, 2018

Global Deep learning Market research report: Occam's provides holistic view on Global Deep Learning Market with key insights on quality and in-dept analysis report from expertise. http://www.occamsresearch.com/deep-learning-market/ 

Deep learning technology is also known as hierarchical learning or deep structured learning is a type of machine learning and involves learning data representation.  The global deep learning market is expected to have a CAGR of 65.4% during the forecasted period of 2016-2023.  The key factor responsible for the surging demand of deep learning in healthcare applications is the increasing usage of big data in healthcare industry. The medical research institutions and other academic institutions are using big data analytics for healthcare and medical research. This raw (unprocessed) big data is processed by big data analytics tools and analysed by data scientists, graduates, statisticians etc. The major application of big data in healthcare is Electronic Health Records (EHR). Every patient has its own digital record which comprises of medical history, allergies, demographics, laboratory test results etc. According to the Health Information Technology for Economic and Clinical Health (HITECH), by the end of 2016, 94% of hospitals in the U.S. have adopted the concept of the Electronic Health Records. According to National Center for Biotechnology Information (NCBI), the amount of big data in healthcare is expected to reach up to approximately 25,000 peta bytes by the end of 2020. Furthermore, big data applications in healthcare present new opportunities to discover new knowledge and create methods in order to enhance the quality of health care services. Therefore, the increasing usage of big data in healthcare industry is driving the growth of deep learning market. The enhancing demand for improved system and human interaction will boost the opportunities of growth in the deep learning market. The systems include a process in which they provide a deep domain view and deliver this information or data to the end users industry which includes IT & telecom, Medical, automotive and agriculture sector. For instance: in financial sector, the deep learning systems benefits the bank employees to enhance their work ability and focus on the customer behaviour & interaction. For instance: Deep learning is used in BFSI sector for risk management, fraud analytics, performance evaluation etc. The deep learning system also help in adapting the self-service and customized options for the consumers and support the employees in providing the materialistic recommendations to fulfil the customers need and controlling risks.