Market Research Report
LAMEA Deep Learning Market Analysis (2017-2023)
|Published by||KBV Research||Product code||639260|
|Published||Content info||109 Pages
Delivery time: 1-2 business days
|LAMEA Deep Learning Market Analysis (2017-2023)|
|Published: April 30, 2018||Content info: 109 Pages||
The Latin America, Middle East and Africa Deep Learning Market would witness market growth of 44.8% CAGR during the forecast period (2017 - 2023). The adoption of deep learning in security solutions supports in protecting crucial information and avoid data losses. Additionally, the uptake of deep learning into the field of marketing has been significant, mainly in the media and advertising fields. Applications such as search advertising, social media advertising and sales and marketing automation are factors that drive the growth of deep learning in the marketing domain. Deep learning- and AI-based systems are now popularly used in applications such as antivirus and antimalware, due rapid growing cases of cybersecurity attacks across the world. The adoption of mobile devices for a wide range of activities such as social networking, emails, remote monitoring, phone banking, and data storage, opens doors for hacking activities.
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 Brazil, Argentina, UAE, Saudi Arabia, South Africa, Nigeria, and Rest of LAMEA.
The market research report covers the competition analysis of key stake holders of the Latin America, Middle East and Africa 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.