AI Retail Assistant Spending to Reach USD 22.4 Billion by 2036

Global retail spending on artificial intelligence assistants will expand from USD 2.4 billion in 2026 to USD 22.4 billion by 2036, according to industry data from Fact.MR. The projected 25.0 per cent annual growth rate adds USD 20 billion in total market value over the decade, lifted from a baseline of USD 1.9 billion recorded in 2025.

Asian retail markets represent two of the primary growth corridors over the forecast period. South Korea will expand at a 25.9 per cent compound annual rate through 2036, driven by high mobile commerce penetration and dense transaction pools inside native retail apps. Japan is projected to grow at 21.0 per cent annually, propelled by chain store operators adopting automated multilingual customer support and digital floor guidance.

Cloud Platforms and Inventory Signals Dominate Spend

Software platforms will account for 41.0 per cent of all retail assistant expenditure in 2026. Retailers are selecting single-platform layers to handle catalog search, guided selling journeys, and customer service escalation rather than buying point solutions.

Cloud infrastructure will capture 51.0 per cent of deployments this year, giving store networks centralized access to generative models without the expense of hosting separate environments for each brand format. Large enterprises will generate 42.0 per cent of overall market demand, backed by dedicated governance teams and complex multi-channel data operations.

Assistant capabilities are also shifting away from basic conversational bots toward merchandise planning. Forecasting tools will take 44.0 per cent of segment demand in 2026. Merchandising desks are connecting online search patterns with replenishment schedules to adjust inventory before store shortages occur.

Integration Obstacles and Enterprise Rollouts

The speed of commercial adoption faces technical friction across legacy systems. Data quality issues across fragmented product catalogs will shave an estimated 0.8 percentage points off market expansion, while internal governance reviews and legacy software integrations remain the primary bottlenecks for department store and hypermarket chains.

Global technology providers have stepped up rollouts to meet store demand. Google Cloud launched its Conversational Commerce agent on Vertex AI in September 2025, while Microsoft introduced automated brand agents for Shopify and Copilot Studio templates in January 2026.

The critical operational test for Asian retail operators through 2027 will center on catalog hygiene and real-time inventory synchronization across physical stores and marketplace channels.