Information Communication and Technology Reports Artificial Intelligence in Retail

Artificial Intelligence in Retail Market size is expected to
grow from USD 736.1 Million in 2016 to USD 5,034.0
Million by 2022
According to a new market research report " Artificial Intelligence in Retail Market by Type (Online, Offline),
Technology (Machine Learning and Deep Learning, NLP), Solution, Service (Professional, Managed), Deployment
Mode (Cloud, On-Premises), Application, Region - Global Forecast to 2022", published by MarketsandMarkets™,
The AI in retail market size is expected to grow from USD 993.6 Million in 2017 to USD 5,034.0 Million by 2022, at a
Compound Annual Growth Rate (CAGR) of 38.3%.
The key factors driving the growth of the AI in retail market include the increasing need to streamline omnichannel
retailing and customer turnover.
Browse and in-depth TOC on “Artificial Intelligence in Retail Market”
61 - Tables
32 - Figures
138 - Pages
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Major Key Companies:
The major vendors providing AI in retail solutions and services include 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), and
Optoro (US).
The machine learning and deep learning technology is expected to have the largest market share during the
forecast period.
Among the technologies, the machine learning and deep learning segment is expected to have the largest market
share during the forecast period. Organizations in the retail industry are using the machine learning and deep
learning technology to offer a more personalized experience to the end-users as well as to provide an interactive
environment to them. Furthermore, the rising technology adoption can be attributed to the need for streamlining
retail operations, minimizing efforts, and increasing revenue for retailers.
The visual search segment is expected to grow at the highest CAGR during the forecast period.
Among the solutions, the need for visual search solutions is expected to grow, due to their increasing popularity
among eRetailers as well as shoppers. Customers usually click and save the images of the products they like. Visual
search solutions provide users the option to search for the products they wish to buy by simply uploading its image
or the URL. Visual search solutions are observing a surge in demand, due to the attractiveness of searching
products by simply uploading pictures instead of basic text-based search. Moreover, uploading the product images
simplifies the search and also increases the customer turnover for eRetailers, as they can offer more options to the
shoppers for similar products.