Retail Analytics Market worth $23.21 billion by 2032 - Report by MarketsandMarkets™

MarketsandMarkets projects the global retail analytics market will nearly double from $11.82 billion in 2026 to $23.21 billion by 2032, implying an 11.9% CAGR. Growth is being driven by retailer investment in AI-embedded predictive analytics, omnichannel data integration, inventory optimization, pricing, and customer intelligence; Asia-Pacific is forecast to grow fastest at a 14.9% CAGR. The market remains fragmented, with the five largest vendors holding 23.4% share, supporting continued investment and M&A activity in AI-enabled retail analytics.

Analysis

This is not a TAM-driven earnings catalyst for the mega-cap software names: retail analytics remains too small and too diffuse to move consolidated revenue for MSFT, ORCL, SAP, CRM, or ADBE. The investable issue is feature commoditization. As forecasting, pricing, and personalization are bundled into cloud/data platforms, standalone analytics vendors face lower pricing power and higher implementation burden, while vendors owning the operational workflow—MANH in fulfillment and replenishment, ZBRA in store execution, and CART in retail media/commerce data—have a clearer path to measurable ROI and retention.

CART is the most relevant public read-through, but the value of its computer-vision and shelf-data investments depends on whether it converts better in-stock rates into retailer ad inventory, fulfillment efficiency, or enterprise software attach—not merely a product demonstration. Over the next 1-3 quarters, watch retailer-partner additions, advertising take rate, and fulfillment-margin progression. For ORCL and MANH, retail AI demand could support services and cloud attach, but the likely near-term offset is aggressive bundling by hyperscalers and enterprise suites, limiting incremental license pricing.

The contrarian view is that "agentic" retail software may initially expand implementation spending rather than software margins. Retailers' data is fragmented across POS, loyalty, ecommerce, supplier, and inventory systems; poor master data can produce automated markdown or replenishment errors with immediate gross-margin consequences. That favors incumbent systems of record and systems integrators over pure-play automation vendors, while creating downside risk for TDC, PATH, and smaller commerce-software providers if AI functionality becomes a bundled feature. The report is vendor-sponsored market research rather than independent evidence of procurement acceleration, so it should not alone change positioning.

Over 6-18 months, the structural winner may be retail-media platforms with closed-loop transaction data rather than analytics-seat vendors: improved targeting and attribution raise high-margin ad yield without requiring retailers to pass all operational savings to consumers. The key falsifier is retailer IT-budget behavior: if discretionary software spending remains constrained or cloud/implementation costs rise faster than measured shrink and markdown savings, the expected monetization cycle will extend and premium workflow-software multiples should compress.

Key Decisions for Investors

• No directional position solely on this release; treat it as a watch item. Require upcoming quarterly evidence of retail-specific bookings, RPO/backlog, or cloud consumption acceleration from ORCL, MANH, and CART before adding exposure.
• Maintain a 3-6 month quality pair bias: long MANH versus short TDC. MANH owns mission-critical execution workflows where automation can be monetized through throughput and inventory ROI; TDC is more exposed to analytics-layer substitution and bundled cloud functionality. Reassess if MANH retail bookings decelerate materially or TDC demonstrates sustained cloud ARR acceleration.
• Watch CART for a post-earnings long only if management quantifies retailer adoption of shelf intelligence and shows simultaneous improvement in advertising revenue growth and fulfillment economics. Target a 2:1 reward/risk setup using a stop on a material reduction in ad-growth or EBITDA guidance; absent those disclosures, the acquisition is strategically interesting but not yet a tradable earnings driver.
• Avoid chasing PATH or LSPD on the agentic-analytics theme over the next 1-3 months. Their upside requires proof of enterprise deployment and paid attach, while the nearer risk is that large platforms bundle comparable automation into existing contracts; upgrade the view only after net retention, enterprise customer growth, and gross-margin trends independently improve.