Brooklyn, NY -- (SBWIRE) -- 02/07/2018 -- The global artificial intelligence in retail market has been prognosticated to witness a robust growth in the coming years due to the rise of factors such as the increasing demand for efficient supply chain management and maintaining inventory accuracy. QYResearchReports has added a publication titled "Global Artificial Intelligence in Retail Market Professional Survey Report 2017." According to the publication, the market could be segregated into on-premises and cloud as per application. In terms of product, segments such as natural language processing (NLP) and machine learning and deep learning could be taken into consideration. The market could also be classified into different regions and countries for a clear understanding of business prospects available across the globe.
Better return on investment (ROI), enhanced productivity, improved user experience, growing application and awareness of artificial intelligence, and swelling need for monitoring and surveillance in physical stores could be some of the crucial factors augmenting the demand for artificial intelligence in retail. Solutions such as product planning and recommendation have been foreseen to up the ante while securing a major share in the world artificial intelligence in retail market. Artificial intelligence could be increasingly adopted by e-retailers for the purpose of offering customers with the most appropriate recommendations for relevant products and a personalized user experience.
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Online retailers have been observed to mainly adopt artificial intelligence-based solutions for targeting customers who prefer to shop while at home. These solutions offer customers the comfort of shopping their favorite products at home using user-friendly websites and applications. As opposed to the long queues observed at brick-and-mortar stores, customers could easily shop around or simply browse their preferred products and services right at their homes or offices. Thus, the online or ecommerce retail market has been anticipated to perform well in the near future. Technologies such as machine learning and deep learning could also significantly contribute toward market growth.
Shoplifting and other types of thefts usually encountered with in retail stores need intelligent and reliable solutions to effectively deal with them. For this very purpose, most retailers have been predicted to use artificial intelligence in retail stores for applications such as in-store visual surveillance and monitoring. With the help of computer software programs, artificial intelligence for video surveillance could be used to analyze images for identifying objects, vehicles, and humans. This could help to avoid financial loss in retail stores due to thefts. The high demand for inexpensive maintenance services and uninterrupted availability of accessible information has been expected to up the growth of cloud deployment in the foreseeable future.
The presence of powerful market players and early adoption of emerging as well as new technologies have been foretold to be key for the leading growth of the international artificial intelligence in retail market in North America. On the other hand, the rising adoption of various services and solutions based on artificial intelligence among retailers could bode well for the Southeast Asia and other Asian markets including India, Japan, and China.
Read Complete Table of Content of the Report at: https://www.qyresearchreports.com/report/global-artificial-intelligence-in-retail-market-professional-survey-report-2017.htm/toc
The report has profiled some of the important companies of the international artificial intelligence in retail market such as Intel, NVIDIA, IBM, Google, and Microsoft. The analysts who have prepared the report have shed light on how the vendor landscape could shape during the course of the forecast period. More aspects have been talked about in the report so that readers could get a complete understanding about the market.
Table of Contents
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
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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