Report Details:
15 Companies Covered
200 Pages
AI in Retail Spending to Explode 16-Fold to $244.28 Billion by 2035 as Generative Search Reshapes Shopping
A 31.8% CAGR is fueled by falling cloud-compute costs, production-grade generative AI, and retailers unifying data across every shopping channel.
New Report by Market Research Future (MRFR)
PUNE, INDIA, July 30, 2026 — Market Research Future (MRFR) reports that the global Artificial Intelligence in Retail Market reached $15.50 billion in 2025 and is projected to grow from $20.35 billion in 2026 to $244.28 billion by 2035, a 31.8% CAGR during the forecast period. Falling cloud-infrastructure pricing — down roughly 20% between 2024 and 2025 — has pulled mid-market retailers off the sidelines, turning what were once multiyear platform migrations into months-long sprints, as hyperscalers bundle pre-trained models into consumption-based subscriptions.
Market Overview
Unified AI platforms that synchronize price, promotions and inventory across every touchpoint are replacing manual demand-planning spreadsheets and rule-based merchandising engines, transforming the industry. Global retail AI investment topped $9 billion in 2024, with large language models representing more than 22% of new investment. Retailers who have added generative capabilities to existing data pipelines are seeing basket size increases of over 18%.
Key Trends & Growth Drivers
● Cloud cost deflation: Hyperscalers are engaged in price wars that have led to a roughly 20% decrease in average cloud-compute costs between 2024 and 2025. This has made AI an operational line item for thin-margin grocery chains.
Generative-AI productionization: Walmart’s generative search tool now consumes more than 1.3 billion data points per week, and model serving costs reduced 40% among leading providers in 2024, strengthening the economic case for huge language models for customer service and retail.
● Omnichannel data unification: Retailers that have real-time identification resolution across in-store, mobile and web channels see revenue improvements of 5% to 15% compared to siloed competition.
● Computer-vision automation: Amazon’s Just Walk Out technology currently powers over 375 third-party businesses worldwide and is spreading to stadiums, universities and airports as retailers scale frictionless checkout.
Segmentation Insights
By channel: Omnichannel operators commanded roughly 49.0% share in 2025 thanks to unified customer-signal capture, while pure-play online retailers are the fastest-growing channel at a 33.5% CAGR.
By component: Software made up 65.5% of the market in 2025, while services are the fastest-growing component at a 32.5% CAGR as retailers outsource model training and integration.
By deployment: Cloud deployment holds 77.0% share on pay-as-you-go scalability, while on-premise persists in data-sovereignty-sensitive sectors like European luxury retail.
By technology: Machine learning and predictive analytics anchor the stack with a 40.5% share, while Generative AI is the fastest-moving technology at a 33.5% CAGR as retailers deploy large language models for product descriptions and conversational search.
Regional Landscape
North America leads with an estimated 29.0% share in 2025, powered by early generative-AI rollouts across US food and apparel verticals and high cloud maturity.
Europe holds roughly $3.88 billion in 2025 revenue, where the EU AI Act's phased rollout is turning compliance overhead into a new services sub-market for conformity assessment and bias auditing.
The Asia-Pacific is the fastest expanding market with a CAGR of 33.2%, due to the presence of digitally native retail giants in China and the fast rising smartphone powered e-commerce in India.
South America, led by Brazil's MercadoLibre and Pix-powered fraud-detection models, and the Middle East & Africa, where Saudi Arabia's Vision 2030 is channeling sovereign-wealth investment into smart-retail infrastructure, round out the regional picture.
Competitive Landscape
The market exhibits medium concentration, with the top five vendors holding an estimated 35–45% combined revenue share. Leading players include Amazon Web Services, Microsoft, Google, IBM, Salesforce and SAP.
● Target (June 2026) built out conversational AI commerce connections across Google Gemini, Microsoft Copilot and ChatGPT to capture evolving search intents.
Accenture & Siemens In June 2026, Accenture agreed to buy the IndX division of the Engineering Group to boost industrial AI and Siemens software capabilities for supply chains.
● Walmart & OpenAI (October 2025) cooperated to infuse generative AI features into online and physical businesses to improve customer discovery and personalization.
Future Outlook
By 2028, agentic AI systems capable of executing complex retail workflows without human intervention are expected to reshape store operations, from automated replenishment to dynamic labor scheduling, with forecasts suggesting 25% of enterprise-software transactions will involve autonomous AI agents by 2030. The next decade will likely see the market consolidate around a handful of AI-platform ecosystems that integrate commerce, media, logistics and payments, as retailers increasingly rent intelligence rather than build bespoke models. Growing ESG disclosure requirements are also expected to make carbon-footprint tracking mandatory for large retailers, while an estimated 40% of retail AI workloads are projected to run at the edge by 2032, resolving the tension between personalization depth and privacy compliance.
