Artificial Intelligence in Retail Market to Reach $57.8 Billion by 2030
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According to this latest publication from
Meticulous Research®, the AI in retail market is projected to reach $57.8 billion by
2030, at a CAGR of 41% from 2023 to 2030.The growth of this market is driven
by factors such as growing awareness about AI and big data & analytics,
the adoption of multichannel or omnichannel retailing strategies, and the need
to enhance end-user experience and improve productivity. However, the high
cost of procurement, lack of infrastructure and impact of COVID-19 may hinder
the growth of this market to a certain extent. This report provides an
in-depth analysis of the artificial intelligence in retail market along with
its components, product offerings, applications, and deployment modes across
different geographies.
To provide efficient analysis, Meticulous
Research® has segmented this market based on offering (solutions and
services), application (predictive merchandising, programmatic advertising,
in-store visual monitoring & surveillance, market forecasting,
location-based marketing), learning technology (machine learning, natural
language processing, computer vision), type (online retail, offline retail)
end user (food & groceries, health & wellness, automotive, electronics
& white goods, fashion & clothing, cosmetics & personal care
products, general utility products, others), deployment (cloud, on-premise)
and geography (North America, Europe, Asia-Pacific, Latin America, and the
Middle East & Africa). The study also evaluates industry competitors and
analyzes the market at the regional and country levels.
Based on offering, the solutions
segment is expected to account for the largest share of the artificial
intelligence in retail market in 2023. The segment’s large share is attributed
to retailers’ growing adoption of AI-powered solutions to identify customer
needs, provide product recommendations, enhance customer experience, reduce
shrinkage by improving loss prevention at points of sale, and reduce
shoplifting in the retail industry.
Based on application, the predictive
merchandising segment is expected to account for the largest share of the
global artificial intelligence in retail market in 2023. The segment’s large
share is attributed to the growing demand for better inventory management and
the need to enhance customer experience, improve customer engagement, and
enable data-driven insights about customers.
Based on learning technology, the machine
learning segment is expected to account for the largest share of the
artificial intelligence in retail market in 2023. The segment’s large share is
attributed to the increasing use of machine learning technology in customer
experience management, customer behavior tracking, and predictive
merchandising to engage customers and increase productivity.
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Based on the type, the online retail
segment is expected to account for the largest share of the artificial
intelligence in retail market in 2023. The segment’s growth is mainly driven
by the increasing investments in online platforms, growing consumer preference
for online shopping, and the need for technological transformation to boost
revenue and profitability.
Based on end user, the food &
groceries segment is expected to account for the largest share of the
artificial intelligence in retail market in 2023. This is mainly due to
increasing consumer spending, the incorporation of advanced technologies, and
the need to address consumer demands & enhance the consumer experience.
Based on deployment type, the cloud-based
deployment segment is expected to account for the largest share of the
artificial intelligence in retail market in 2023. The segment’s large share is
attributed to the decrease in the cost of cloud-enabling technology, the
growing use of learning analytics, and organizations’ increasing inclination
toward cloud computing to enable cost-cutting.
Based on geography, the AI in retail
market is segmented into North America, Europe, Asia-Pacific, Latin America,
and the Middle East & Africa. North America is expected to dominate the
artificial intelligence in retail market in 2023. The large share of the North
American region is attributed to the high adoption of advanced technologies,
including artificial intelligence (AI), machine learning & natural
learning programming (NLP), and the presence of major artificial intelligence
technology players & start-ups.
However, the Asia-Pacific region is expected
to record the highest CAGR during the forecast period. Factors such as the
presence of high-growth economies, growing adoption of AI-based solutions and
services among retailers, increasing digitalization in the region, and
improving connectivity infrastructure are expected to drive the growth of this
regional market. In addition, the growing accessibility of IoT-enabled
gadgets, rising disposable incomes, and favorable government initiatives in
the region are also supporting the growth of this market in the APAC region.
Key Players
The key players operating in the AI in retail
market are Amazon.com, Inc. (U.S.), Google LLC (U.S.), Intel Corporation
(U.S.), Microsoft Corporation (U.S.), IBM Corporation (U.S.), Nvidia
Corporation (U.S.), Oracle Corporation (U.S.), SAP SE (Germany), Salesforce.com,
Inc. (U.S.), and BloomReach, Inc. (U.S.).
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Key Questions Answered in
the Report:
· Which are
the high-growth market segments in terms of offering, application, learning
technology, type, end user, deployment mode, and geography?
· What is
the historical market size for AI in retail across the globe?
· What are
the market forecasts and estimates for the period 2023–2030?
· What are
the major drivers, restraints, and opportunities in the global AI in retail
market?
· Who are
the major players in the AI in retail market, and what share of the market do
they hold?
· What is
the competitive landscape like?
· What are
the recent developments in the AI in retail market?
· What are
the different strategies adopted by the major players in the market?
· What are
the geographic trends and high-growth countries?
· Who are
the local emerging players in the AI in retail market, and how do they compete
with the other players?
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