The Artificial Intelligence in Retail Market has been extensively studied to determine the research industry size and its potential for growth in the next decade. According to MRFR analysis, the market was valued at USD 8.13 billion in 2024 and is expected to reach USD 76.96 billion by 2035, representing a CAGR of 22.67% from 2025 to 2035.
The research highlights that AI adoption in retail spans multiple applications, including predictive analytics, recommendation engines, customer sentiment analysis, inventory management, and automated checkout systems. Retailers are increasingly deploying AI technologies to analyze customer preferences, enhance operational efficiency, reduce errors, and deliver a highly personalized shopping experience. AI-driven insights allow companies to understand changing consumer demands and respond quickly to market fluctuations, which is critical for maintaining competitiveness.
The research also indicates that technological innovation, combined with a rising demand for real-time analytics, is driving the expansion of AI solutions in retail. Retailers adopting AI are achieving better accuracy in demand forecasting, improved customer satisfaction, and enhanced profitability. Strategic partnerships and collaborations among technology providers and retail chains are also contributing to market growth.
North America remains the dominant region due to its mature technology infrastructure and early adoption of AI solutions. However, Asia-Pacific is emerging as a high-growth market due to e-commerce expansion, digital adoption, and increasing consumer expectations for personalized shopping experiences.
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