Global Artificial Intelligence in Retail Market Analysis, Trends, Growth & Forecast From 2017-2022

Posted on 2017-12-08 by Mark Hub in Semiconductors // 0 Comments

Albany, US, 2017-Dec-08 — /EPR Network/ — A fresh report has been added to the wide database of Market Research Hub (MRH) titled “Global Artificial Intelligence in Retail Market Professional Survey Report 2017” which provides an outlook of current Artificial Intelligence in Retail Sales market value and the expected forecast on Rate on Investment (ROI) with growing CAGR of XX% by the end of 2022. The report also studies the market worldwide, especially in North America, China, Europe, Southeast Asia, Japan and India, with production, revenue, consumption, import and export in these regions during same stated forecast to 2022.

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This report focuses on top manufacturers in global market, with production, price, revenue and market share for each manufacturer, covering
Microsoft (US)
Google (US)
IBM (US)
NVIDIA (US)
Intel (US)
Oracle (US)
Sentient Technologies (US)
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

By Application, the market can be split into
Cloud
On-Premises

By Regions, this report covers (we can add the regions/countries as you want)
North America
China
Europe
Southeast Asia
Japan
India

Browse Full Report with TOC @ https://www.marketresearchhub.com/report/global-artificial-intelligence-in-retail-market-professional-survey-report-2017-report.html

Table of Content:

Global Artificial Intelligence in Retail Market Professional Survey Report 2017
1 Industry Overview of Artificial Intelligence in Retail
1.1 Definition and Specifications of Artificial Intelligence in Retail
1.1.1 Definition of Artificial Intelligence in Retail
1.1.2 Specifications of Artificial Intelligence in Retail
1.2 Classification of Artificial Intelligence in Retail
1.2.1 Machine Learning and Deep Learning
1.2.2 NLP
1.3 Applications of Artificial Intelligence in Retail
1.3.1 Cloud
1.3.2 On-Premises
1.3.3 Application 3
1.4 Market Segment by Regions
1.4.1 North America
1.4.2 China
1.4.3 Europe
1.4.4 Southeast Asia
1.4.5 Japan
1.4.6 India

2 Manufacturing Cost Structure Analysis of Artificial Intelligence in Retail
2.1 Raw Material and Suppliers
2.2 Manufacturing Cost Structure Analysis of Artificial Intelligence in Retail
2.3 Manufacturing Process Analysis of Artificial Intelligence in Retail
2.4 Industry Chain Structure of Artificial Intelligence in Retail

3 Technical Data and Manufacturing Plants Analysis of Artificial Intelligence in Retail
3.1 Capacity and Commercial Production Date of Global Artificial Intelligence in Retail Major Manufacturers in 2016
3.2 Manufacturing Plants Distribution of Global Artificial Intelligence in Retail Major Manufacturers in 2016
3.3 R&D Status and Technology Source of Global Artificial Intelligence in Retail Major Manufacturers in 2016
3.4 Raw Materials Sources Analysis of Global Artificial Intelligence in Retail Major Manufacturers in 2016

4 Global Artificial Intelligence in Retail Overall Market Overview
4.1 2012-2017E Overall Market Analysis
4.2 Capacity Analysis
4.2.1 2012-2017E Global Artificial Intelligence in Retail Capacity and Growth Rate Analysis
4.2.2 2016 Artificial Intelligence in Retail Capacity Analysis (Company Segment)
4.3 Sales Analysis
4.3.1 2012-2017E Global Artificial Intelligence in Retail Sales and Growth Rate Analysis
4.3.2 2016 Artificial Intelligence in Retail Sales Analysis (Company Segment)
4.4 Sales Price Analysis
4.4.1 2012-2017E Global Artificial Intelligence in Retail Sales Price
4.4.2 2016 Artificial Intelligence in Retail Sales Price Analysis (Company Segment)

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