NEW YORK – The Artificial Intelligence for retail market revenue is poised to reach $52.45 billion by 2030, growing at a compound rate of 29.6 percent from the $6.59 billion generated in 2022.
According to a new report “Artificial Intelligence in Retail Market is driven by rise in consumer data generation through digitalization and increasing preference towards personalized shopping. However, computer vision solutions for retail is emerging as a future trend in the industry.
Global Artificial Intelligence in Retail Market Scope:
| Report Coverage | Details |
| Market Size Value in | USD 6.59 Billion in 2022 |
| Market Size Value by | USD 52.45 Billion by 2030 |
| Growth rate | CAGR of 29.6% from 2022 to 2030 |
| Forecast Period | 2022-2030 |
| Base Year | 2022 |
| Segments covered | Offering, Function, Type, Application, and Geography. |
| Regional scope | North America, Europe, Asia Pacific, Middle East & Africa, South & Central America. |
| Country scope | Argentina, Australia, Brazil, Canada, China, France, Germany, India, Italy, Japan, Mexico, Russian Federation, Saudi Arabia, South Africa, South Korea, United Arab Emirates, United Kingdom, United States |
| Report coverage | Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends |
Advancements in Generative AI Provides Lucrative Opportunities for Global Artificial Intelligence in Retail Market:
Based on the current market trends, consumer preferences, and historical sales data, generative AI can produce new product designs. The AI model can produce numerous versions, enabling businesses to narrow their choices to the best ones. For instance, designing apparel, furniture, or electronics is a possibility.
Retailers can utilize AI to produce blog entries, product descriptions, social media promotions, blog posts, and other types of content that boost SEO and increase customer interaction. Through the use of marketing materials like emails or advertisements, artificial intelligence in retail market may produce customized client experiences. These are created using client information, such as prior purchasing patterns and preferences.
The success of marketing campaigns can be increased by using AI to forecast the type of promotional content that will appeal to each customer the most. By producing forecasts based on past sales data, trends, seasonality, and other factors, generative artificial intelligence in retail market can assist in forecasting consumer demand for goods. By eliminating instances of overstock or stockouts, this can enhance inventory management.
For instance, according to a 2023 survey by Salesforce, as UK customers start experimenting with generative AI, a sizeable portion are eager to investigate the technology’s applicability for purchasing. For clothing and wardrobe ideas, 35% of respondents say they are interested in adopting generative AI, while 43% say the same for researching electronics and appliances. 12% of respondents claim to have already employed generative artificial intelligence in retail market for shopping ideas.
Digitalization and artificial intelligence (AI) present significant human potential as well as profit margins, making them appealing retail solutions. While competitors extensively invest in new projects, retail leaders have successfully incorporated broad uses into their daily operations.
Due to factors like rising income, changing demographics, and increased consumerism, as well as the quick development of new technologies like digitization and AI, which are altering both consumer and retailer purchasing behavior, the retail sector is going through a significant transformation. There are many potentials for retailers to use AI technology to improve consumer understanding and engagement through marketing techniques that will result in increased revenue and more solid, enduring customer connections.
AI uses IoT as a medium to implement necessary adjustments through intelligent analysis. The smooth flow of data is made possible by the seamless integration of devices and systems, improving numerous elements of retail. The combination of these two innovative technologies has considerably increased efficiency, accuracy, and overall effectiveness in retail operations, from inventory management to supply chain optimization and individualized consumer experiences.
An integrated retail ecosystem has been made possible by the emergence of the Internet of Things (IoT). Customers and retailers may engage with ease thanks to intelligent devices and sensors. The adoption of Internet of Things (IoT) technology in retail has completely changed the way people buy by enhancing a number of features like automated checkout procedures and smart shelves that keep track on inventory levels.
IoT has been seamlessly included, greatly increasing consumer convenience throughout the buying process. For instance, according to a 2022 Zebra Technologies poll of 4,200 international respondents, 82% of retail decision-makers intend to increase their investment in technology over the next three years. In addition, 43% indicated they are making room for contactless checkout kiosks while 45% said they are converting more cash register space to self-checkout area.
Less than half of consumers utilize self-checkouts, the research claims. The flexibility to check out anywhere in the store and contactless payment alternatives are preferred by nearly two-thirds (64%) of customers. Self-checkout kiosks, according to 83% of retail staff, allow them to focus on duties of higher importance and provide better customer service.
