The retail analytics market is projected to grow from about $11.3 billion in 2026 to roughly $20.6 billion by 2031, driven by data-first decision-making, demand forecasting, inventory visibility, and personalized consumer interactions across both digital and physical channels.

Cloud-based analytics platforms and AI-enabled tools are enabling real-time insights, automated reporting, and seamless integration with POS, supply chain, and CRM systems to support scalable, insight-driven retail operations.

Market highlights point to rapid omnichannel strategy adoption, AI/ML becoming central to analytics solutions, and a shift toward data-first operations in retail.

Gen AI applications are already notable, with examples like Amazon’s image-generation-driven ads and Lindex Copilot assisting store staff with personalized guidance.

AI-powered chatbots and virtual assistants are transforming customer service by offering 24/7 support, handling common inquiries, guiding purchases, and delivering personalized recommendations.

MarketsandMarkets notes partnerships and regional initiatives as part of the adoption landscape, including efforts in the UAE and Saudi Arabia.

Regionally, the Middle East & Africa is forecast to see the highest CAGR due to rapid digital transformation, omnichannel strategies, and supportive government AI initiatives.

There is ongoing investment in cloud-based platforms and AI-powered tools to optimize operations and enhance customer experiences across all channels.

Generative AI is expected to register the highest CAGR within the market, with applications in advertising, personalized shopping assistance, and automated content creation.

Online end users are expected to capture the largest market share as AI enhances online shopping with personalized recommendations and 24/7 support.

Major vendors include Microsoft, IBM, SAP, Oracle, Salesforce, AWS, Qlik, and Teradata, with Salesforce and Oracle highlighted for AI-driven retail analytics and unified commerce capabilities.

Specifically, Microsoft offers retail data and analytics platforms unifying data from stores, e-commerce, and supply chain, while Oracle provides AI/ML-driven analytics for predictive and prescriptive decision-making.