Retail analytics market seen reaching $58.4 billion by 2032

By AI, Created 10:11 AM UTC, May 28, 2026, /AGP/ – Allied Market Research says the retail analytics market was valued at $7.8 billion in 2022 and is projected to grow to $58.4 billion by 2032. The forecast points to faster adoption of AI, cloud computing and predictive analytics as retailers push harder on personalization, inventory control and omnichannel operations.

Why it matters: - Retail analytics is becoming a core tool for retailers trying to improve customer experiences, tighten inventory control and raise operational efficiency. - The market’s projected jump from $7.8 billion in 2022 to $58.4 billion by 2032 signals strong demand for tools that turn retail data into faster decisions. - The shift matters because retailers are under pressure to manage rising data volumes across stores, websites, mobile apps and supply chains.

What happened: - Allied Market Research projects the retail analytics market will grow at a CAGR of 22.6% from 2023 to 2032. - The report links that growth to broader use of artificial intelligence, cloud computing, big data technologies and predictive analytics across retail. - The report was published in 2026 and includes market estimates, segment trends and regional forecasts. - The report’s sample brochure is available here.

The details: - Retail analytics tools collect and analyze data from online stores, physical outlets, customer interactions and inventory systems. - Retailers use those insights to set pricing, run promotions, design store layouts, plan inventory and target customer engagement. - AI and machine learning are improving real-time data processing, pattern detection and forecasting accuracy. - AI-powered systems are also automating inventory tracking, customer segmentation and sales forecasting. - On-premise deployment held the largest market share in 2022, driven by security, privacy and operational control needs. - Cloud deployment is expected to grow the fastest because it offers scalability, flexibility, remote access and lower cost. - Customer management led business-function adoption in 2022 because retailers want more personalized marketing, loyalty programs and product recommendations. - Large enterprises dominated demand in 2022 because they generate more data and can support more advanced analytics systems. - North America held the largest revenue share in 2022, supported by digital infrastructure and strong technology vendors. - Asia-Pacific is expected to post the fastest growth, led by digitalization, e-commerce expansion, smartphone adoption and cloud investment.

Between the lines: - The report shows retail analytics is shifting from a reporting tool to an operating layer for retail decision-making. - The biggest growth opportunities appear to be in cloud-based, AI-driven platforms that can serve multiple channels at once. - The pandemic accelerated the move online and made demand forecasting, supply-chain visibility and personalized digital commerce more important. - That shift likely favors vendors that can combine analytics with automation and recommendation engines. - The report highlights competition among major providers including Amazon Web Services, HCL Technologies, IBM, Microsoft, MicroStrategy, Oracle, Salesforce, SAP, SAS and Teradata.

What’s next: - Retailers are expected to keep investing in AI, machine learning, IoT, predictive analytics and cloud-based platforms through 2032. - Smaller and mid-sized businesses are likely to adopt more cloud analytics as costs fall and access improves. - Asia-Pacific’s growth could narrow the gap with North America as e-commerce and digital retail infrastructure expand. - The full report is available here. - Custom research requests are available here.

The bottom line: - Retail analytics is moving deeper into everyday retail operations, and the next phase of growth looks tied to AI, cloud adoption and customer personalization.