PUNE, India, November 29, 2016 /PRNewswire/ -- The worldwidedeep learning market is expected to be worth USD 1,772.9 million by 2022, growing at a CAGR of 65.3% between 2016 and 2022 while image recognition application holds the largest share of the market driven by the increasing adoption of Android, Windows, and iOS phones would further fuel the demand for the image recognition application. (Logo: http://photos.prnewswire.com/prnh/20160303/792302 ) Complete report on global deep learning market spread across 180 pages, profiling 11 companies and supported with 71 tables and 67 figures is now available at http://www.reportsnreports.com/reports/765404-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.html . The growth of the deep learning market can be attributed to the increasing demand for deep learning applications in different end-user industries such as automotive, media and advertising, finance, medical, aerospace and defense, and others. This market growth is further propelled by its usage in Big Data analytics. However, the increasing complexity in hardware due to the complex algorithm used in the deep learning technology restrains the growth of the market. This report covers deep learning applications such as image recognition, signal recognition, data mining, and others. Image recognition holds the largest share of the deep learning market owing to its use in industries such as aerospace and defense, I.T. and telecom, and media and advertising. The image recognition market is growing with the advent and increasing use of technology in social media platforms such as Facebook, Instagram, and Flickr. The increasing adoption of Android, Windows, and iOS phones would further fuel the demand for the image recognition application in the deep learning market. This report covers the hardware and software offering in the deep learning technology. Software holds the larger share of the deep learning market in the image recognition application because of the rising demand for image data analysis among online marketing and security and surveillance companies. For instance, in the security and surveillance industry, the image recognition technology is used for biometric face mapping, vehicle identification, and monitoring of public facilities to enhance indoor as well as outdoor security.