If you're building AI products for retail, the question isn't whether the market wants AI. It's where.
We ran an AI-powered survey with 300 AI-generated respondents across 4 AI personas matching B2B retail professionals - CTOs, heads of operations, AI solutions architects, and retail data analysts. No human panel. Validated against Ipsos human panel data with ±2-5pp accuracy.
Here's what the data says.
67.7% say they'll adopt AI within 12 months
27.7% very likely. 40% somewhat likely. The adoption intent is clear. But intent without understanding the barriers is useless if you're building for this market.
The top barrier isn't cost
This is the part most people get wrong. When we asked about the primary concern:
Data security - 31%
Integration complexity - 28%
Cost - 21%
Lack of expertise - 17%
No concerns - 3%
If you're building AI for retail and your pitch leads with ROI and cost savings, you're answering a question that isn't top of mind. The buyers are worried about security and integration first. Price is third.
Inventory management wins by a wide margin
When asked where AI would help most:
Inventory management - 38%
Sales forecasting - 26.3%
Customer service - 20%
Marketing - 13%
None - 2.7%
Retail wants AI in the back end. Inventory, demand forecasting, supply chain. Not chatbots. Not personalization. Not marketing automation. The operational pain is louder than the customer-facing opportunity.
For developers - this is useful signal. The highest-demand use cases are the ones that touch operations, not the ones that touch the customer.
Interest is growing, and so is budget
66% say their interest in AI for retail increased over the past year. 68.3% say they're willing to allocate budget. That's not vague optimism - that's purchase intent.
But only 3% say they have no concerns about implementation. Nearly everyone wants it. Nearly everyone is nervous about something.
What this means if you're building
The market is telling you three things:
- Build for the back end first. Inventory and forecasting, not marketing.
- Lead with security and integration, not price. Those are the real objections.
- The buyers are ready. Budget is allocated. But trust and implementation are the bottlenecks.
Full data
Full survey results with all the questions, persona breakdown, and methodology:
https://inqvey.com/data/ai-retail-2026
We track 20 technology trends and run market research across them:
https://inqvey.com/trends
If you're building for retail - what are you hearing from buyers? Does this match?
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