The Artificial Intelligence in Retail Market is in Trends by Growing Adoption of AI for Personalized Customer Experience

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The Global Artificial Intelligence in Retail Market is estimated to be valued at USD 10.48 Bn in 2024 and is expected to reach USD 73.02 Bn by 2031, exhibiting a compound annual growth rate (CAGR) of 32% from 2024 to 2031.

Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. In the retail industry, AI helps analyze customer purchase patterns, behaviors and preferences to provide personalized recommendations and customized product listings. AI-based automation is also used in areas like predictive analytics, demand forecasting, customer service, supply chain management etc. to optimize operations and improve the overall shopping experience.

Key Takeaways

Key players operating in the artificial intelligence in retail are Amazon, IBM, Microsoft and Google. These players are investing heavily in developing advanced AI solutions for retailers. Amazon's AI assistant Alexa has gained widespread adoption for assisting customers with shopping queries.

The adoption of AI-powered virtual assistants, smart stores, online shopping and digital technologies is fueling Artificial Intelligence in Retail Market Growth. Consumers are increasingly preferring the convenience of online shopping, which has enabled retailers to collect large customer datasets to identify trends and patterns.

The market is also witnessing significant expansion in Asia Pacific and Europe due to growing investments by global retail giants. Countries like China, Japan and India offer immense growth opportunities owing to rising internet penetration, growing e-commerce sales and increasing focus on digital transformation of retail operations.

Market Key Trends

One of the major trends in the artificial intelligence in retail market is the growing use of computer vision. CV applications allow visual product search, smart checkouts, predictive analytics based on customer movement patterns in physical stores. For example, CV combined with ML helps Ikea visualize real-time shopping patterns and pre-load products for easy access. This enhances in-store experiences. Such applications are expected to increase and drive the AI retail market growth over the coming years.

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