Thursday 16 November 2017

Latest Trend and Development in Global Artificial Intelligence in Retail Industry 2017

ResearchMoz presents professional and in-depth study of "Global Artificial Intelligence in Retail Market Research Report 2017".

In this report, the global Artificial Intelligence in Retail market is valued at USD XX million in 2016 and is expected to reach USD XX million by the end of 2022, growing at a CAGR of XX% between 2016 and 2022.

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Geographically, this report is segmented into several key Regions, with production, consumption, revenue (million USD), market share and growth rate of Artificial Intelligence in Retail in these regions, from 2012 to 2022 (forecast), covering
United States
EU
China
Japan
South Korea
Taiwan

Global Artificial Intelligence in Retail market competition by top manufacturers, with production, price, revenue (value) and market share for each manufacturer; the top players including
Microsoft (US)
Google (US)
IBM (US)
NVIDIA (US)
Intel (US)
Oracle (US)
Sentient Technologies (US)

View Complete TOC with tables & Figures @ https://www.researchmoz.us/global-artificial-intelligence-in-retail-market-research-report-2017-report.html/toc

Salesforce (US)
Amazon Web Services (US)
SAP (Germany)
Inbenta Technologies (US)
Nuance Communications (US)
SAMSUNG (South Korea)
Narrative Science (US)
Daisy Intelligence (Canada)
Infosys (India)
Wipro (India)
Happiest Minds (India)
MicroStrategy (US)
Dynamic Yield (US)
IPsoft (US)
Appier.com (Taiwan)
ViSenze (Singapore)
Manthan Software Services (India)
Optoro (US)

On the basis of product, this report displays the production, revenue, price, market share and growth rate of each type, primarily split into
Machine Learning and Deep Learning
NLP

Browse Report @ https://www.researchmoz.us/global-artificial-intelligence-in-retail-market-research-report-2017-report.html

On the basis on the end users/applications, this report focuses on the status and outlook for major applications/end users, consumption (sales), market share and growth rate of Artificial Intelligence in Retail for each application, including
Cloud
On-Premises

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