Artificial Intelligence in Retail Market Size Segments: By Mode By Component Trending MRFR Report Current and Future Industry Analysis and Research Report, Trends, forecast 2027
Market Highlights:
The global Artificial Intelligence In Retail Market Size is slated to exhibit 35% CAGR from 2017 to 2023,
according to the latest report by Market Research Future (MRFR). The report
provides an informed view of the situation of the retail industry coupled with
pros and cons of integration of AI for its processes for the forecast period
(2020-2027). The COVID-19 pandemic and its effects on the market constitute a
major portion of the report.
The global artificial intelligence in retail market
is set to register an incredible growth trajectory owing to implementations of
new technologies and increasing expectations of customers. Focus on
optimization of supply chain, customer experience journeys, and controlling
prices are key drivers of the market. For instance, Walmart has leveraged AI to
provide item substitution choices in case of stock expiry. This can lead to
retention of customers and selling of abundant stocks.
The growth of the ecommerce sector has led to
retailers adapting AI to increase their customer base and stave off competition
from online stores. AI can fix operational inefficiencies and identify gaps in
workflows. Real-time visibility of stocks stored in warehouses and stores can
alert owners to replenish stocks while optimizing costs.
But lack of infrastructure and high implementation
costs can hamper market growth.
COVID-19
Impact
The COVID-19 pandemic is likely to push retailers
into adopting digital technologies due to a large customer base and rise of
online shopping. Ease of use and convenience offered by mobile applications for
shopping has led to various downloads. Organizational silos created by
traditional methods has led to demand for AI to enable cross channel shopping
and payment through various modes.
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Major Key Players:
Google
Inc (U.S.), SAP SE (Germany), Amazon Web Services (U.S.), IBM Corporation
(U.S.), Sentient Technologies (U.S.), Oracle Corporation (U.S.), NVIDIA
Corporation (U.S.), Salesforce (U.S.), Intel Corporation (U.S.), and Microsoft
Corporation (U.S.) are key players operating in the global artificial
intelligence in retail market.
Segmentation:
Deep Learning Technology to Dominate Market The
deep learning technology is expected to perform well owing to its adoption by
various retail stores to study customer shopping patterns and their spending.
The focus on personalized shopping is bound to demand for advanced algorithms
by retail chains. The AI solutions can recommend items to customers based on
their shopping patterns and interact with them using chatbots and virtual
assistants.
Merchandizing to Rule Market Share
Merchandizing is expected to receive maximum
attention from AI owing to impending need of driving sales. It can record the
response to a poster or merchandise displayed in retail stores to replicate the
experience for all products. Data driven merchandising tailored to meet the
language of customers, navigational choices, and product collections.
Regional Analysis:
North America to Dominate Global Market
North America is anticipated to lead the global
artificial intelligence in retail market owing to various economies such as
Canada and the U.S. adopting the technology. AI can assist them in maintaining
the customer database, identify shopping patterns, and engage them to increase
sales.
Industry News
Microsoft Corporation has partnered with Lanner
Electronics for providing AI based edge computing solutions for the retail
industry. Its video analytics can be used to measure footfall in malls and
parking solutions with the help of computer vision algorithms.
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Full Report @ https://www.marketresearchfuture.com/reports/artificial-intelligence-in-retail-market-5009
Table of Contents
1. Executive Summary
2. Scope of The Report
2.1. Market Definition
2.2. Scope of The Study
2.2.1. Research objectives
2.2.2. Assumptions & Limitations
2.3. Markets Structure
Continued….
Edge Data Center Industry
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