A12272 | Pages: NA | Jul 2022 | 1363 Views | ||
Author(s) : Vineet Kumar | Tables: NA | Charts: NA |
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Pandemic disrupted the entire world and affected many industries.
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The digital revolution in retail sector is more about connecting people. It is about converting data into understandings, which in return can drive better business decisions. Introduction of artificial intelligence brought up huge revolution in the retail market. In addition to this, retailers have opportunity to increase revenue by accepting fast innovations and smart operations to have an edge over their competitors. Artificial intelligence brings up a lot of features which include inventory management, interactive chat programs, customer engagement, and demand forecasting that help the enterprises to ease their operations. AI also helps to synchronize the offline and online store to get better perceptions of customers. Furthermore, the high cost of implementation hinders the growth of the market. However, growth in awareness about artificial intelligence and big data propels the growth of the artificial intelligence in retail market.
Market Scope and Structure Analysis
Report Metric | Details |
 Market Size Available for Years |  2020–2030 |
 Base Year Considered |  2020 |
 Forecast Period |  2021–2030 |
 Forecast Units |  Value ($) |
 Segments Covered | Component, Deployment Model, Technology, Application, Retail, End User and Region. |
 Regions Covered | North America (U.S. and Canada), Europe (Germany, UK, France, and rest of Europe), Asia-Pacific (China, Japan, India, and rest of Asia-Pacific), Latin America (Brazil, Mexico, and rest of LATAM) and Middle East & Africa |
 Companies Covered |  International Business Machines Corp., Intel Corp., Signifyd Inc., Sentient Technologies, SAP SE, Infinite Analytics Inc., Standard Cognition Corp., BloomReach Inc., Google LLC, Microsoft Corp. |
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Impact of COVID-19 on AI in Retail Market:
Top Impacting Factors: Market Scenario Analysis, Trends, Drivers, and Impact Analysis
Rise in the demand for technological advancement in the retail sector has helped to improve sales, predict customer perception, and handle customer relations, which drive the growth of the artificial intelligence in the retail market. In addition, artificial intelligence helps to improve operational efficiency and handle customer relations using chatbot technology that propels the growth of the market. Furthermore, high cost of implementation, risk of unemployment, and lack of creativity are the factors that act as barriers to the market. However, rapid awareness and adoption of artificial intelligence, and big data analytics in the retail sector drive the growth of this market in the forecast  period.
The Market Trends for AI in Retail Market
Growing Awareness about the Artificial Intelligence
Awareness of the new artificial intelligence technology is expected to propel the growth of the market. The implementation of artificial intelligence in various areas of retail industry such as inventory management, supply chain, advertising, customer relationship and others has transformed the ways of doing business, resulting in increase of productivity and profitability. Penetration of smart devices and applications, adoption of cloud services, and technological advancements in the market opened opportunities for the retail sector to grow significantly in the upcoming years.
Asia-Pacific to become the Fastest Growing Market
Asia-Pacific is expected to see a remarkable growth of artificial intelligence in retail market. This area has seen growth in the infrastructure, capital spending, economic growth, and demand for the consumer goods in the recent years. The government of the countries of this region, especially China, India, and Japan are taking initiatives to expand the growth of e-commerce. In addition, the e-commerce companies are taking initiatives to implement artificial intelligence in their software to manage supply chain and inventory efficiently. Furthermore, growth in internet connectivity and knowledge & adoption of the latest technology are the factors that propel the growth of AI in retail market.
Key Segments Covered
Segments | Subsegments |
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 Deployment Model |
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 Technology |
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 Application |
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 Retail |
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 End User |
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Key Benefits of the Report
Questions Answered in the AI in Retail Market Research Report
Key Market Segments
Segments | Sub-segments |
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By Product |
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By Application |
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By Technology |
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By Type |
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By End-User |
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By Deployment Mode |
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By Region |
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