PUNE, India, November 24, 2016 /PRNewswire/ -- According to the new market research report "Deep Learning Market by Application (Image Recognition, Signal Recognition, Data Mining), Offering (Hardware ( Von Neumann and Neuromorphic Chip), and Software), End-User Industry, and Geography - Global Forecasts to 2022", published by MarketsandMarkets, the market is expected to be worth USD 1,722.9 Million by 2022, growing at a CAGR of 65.3% between 2016 and 2022. (Logo: http://photos.prnewswire.com/prnh/20160303/792302 ) Browse 71 market data Tables and 67 Figures spread through 180 Pages and in-depth TOC on"Deep Learning Market"http://www.marketsandmarkets.com/Market-Reports/deep-learning-market-107369271.htmlEarly buyers will receive 10% customization on this report. The deep learning market has a huge potential across various industries such as advertisement, finance, and automotive. The major factors driving the deep learning market globally are the robust R&D for the development of better processing hardware and increasing adoption of cloud-based technology for deep learning. The market for the data mining application is expected to grow at the highest rate between 2016 and 2022 The Deep Learning Market for data mining application is expected to grow at the highest CAGR between 2016 and 2022. The increasing usage of deep learning in data analytics, cyber security, fraud detection, and database systems is fueling the growth of data mining applications in the deep learning market. Medical industries generate huge amounts of data sets related to medication, patient details, and diagnosis. This data is converted into valuable patterns and is used to forecast future trends. Thus, data mining is expected to witness the highest growth rate in the medical industry. Deep learning hardware market expected to grow at the highest rate between 2016 and 2022 The high growth rate of the hardware market for deep learning is attributed to the growing need for hardware platforms with a high computing power to run deep learning algorithms. There is increasing competition among established as well as startup players, leading to new product developments including both hardware development and software platforms to run deep learning algorithms and programs. For instance, Graphcore (a U.K.-based company) is developing the intelligent processing unit (IPU) for machine learning technology for use in applications from driverless cars to cloud computing. Some of the companies involved in the development of hardware for the deep learning technique are Google, Inc. (U.S.), Microsoft Corporation (U.S.), Intel Corporation (U.S.), Qualcomm, Inc. (U.S.), IBM Corporation (U.S.), and others.