
Asia Pacific Deep Learning Market By Type (Software; Hardware; Services - Professional, Managed), End User (Security, Marketing, Healthcare, Retail, Manufacturing, Automotive, Agriculture), Application (Image Recognition, Signal Recognition, Data Mining)
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Market Report Description
The Asia Pacific Deep Learning Market would witness market growth of 42.4% CAGR during the forecast period (2017 - 2023). Deep learning applications are widely used in image recognition, signal recognition, and data mining, and in industries such as aerospace & defense, automotive, healthcare, and IT and telecommunications. The Asia Pacific region would grow at the highest CAGR during the forecast period. Deep learning technology is widely used in electronic products such as smartphones,
TABLEts, and PCs, and also has gained prominence in medical and automotive products. Rapid economic growth in countries such as China and India, would drive the growth of the deep learning market in APAC. Based on Type, the Deep Learning market segments the market into Software, Hardware, and Services. Services Type includes Professional and Managed Services.
Based on End User, the market report segments the market into Security, Marketing, Healthcare, Retail, Manufacturing, Automotive, Agriculture, and Others. Based on Application, the Deep Learning market segments the market into Image Recognition, Signal Recognition, Data Mining, and Others. Based on Countries, the Deep Learning market segments the market into China, Japan, India, South Korea, Singapore, Malaysia, and Rest of Asia Pacific.
The market research report covers the competition analysis of key stakeholders of the Asia Pacific Deep Learning Market. Key companies profiled in the report include Amazon.com, Inc. (Amazon Web Services), Google, Inc., IBM Corporation, Intel Corporation, Microsoft Corporation, Samsung Electronics Co. Ltd., Micron Technology, Inc., Qualcomm Incorporated, Nvidia Corporation, and Sensory, Inc.
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Global Deep Learning Market (2017-2023)
North America Deep Learning Market (2017-2023)