Retail & consumer analytics · NielsenIQ

NielsenIQ

Global consumer and retail measurement company covering point-of-sale, e-commerce and consumer panel data for CPG brands and retailers.

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NielsenIQ (NIQ) provides retail point-of-sale, e-commerce and consumer panel data used by consumer packaged goods manufacturers and retailers to measure market share, pricing, distribution and promotional performance across countries and categories. It was spun off from Nielsen Holdings in 2021 and is a separate company from Nielsen, which continues to focus on media and audience measurement, such as TV and streaming ratings, rather than retail sales data; the two are frequently confused despite operating in different markets. NIQ's platform, branded around products like NIQ Discover and Nielsen Connect, combines global retail data with predictive analytics for demand forecasting and new-product performance. It is one of the largest players in this category by geographic coverage, selling on data subscriptions and analytics contracts to manufacturers, retailers and agencies.

At a glance

Vendor NielsenIQ
Pricing model Quote only
Free tier No
Deployment Cloud
Open source No
Best for Consumer goods manufacturers and retailers needing broad global market-share and sales data.

Pricing

Sold as data subscriptions and analytics contracts to manufacturers and retailers; pricing is not published.

Pricing has not been verified yet — see the vendor's site.

Features

  • Global retail point-of-sale and e-commerce data
  • Consumer panel data
  • Market share and distribution measurement
  • Promotion and pricing analytics
  • New-product performance tracking
  • Demand forecasting

Profile last reviewed September 21, 2026

Head to head

Alternatives

Circana Consumer and retail data company formed from the merger of IRI and The NPD Group, covering point-of-sale, panel and market data. Numerator Consumer behavior data company built on a large opted-in shopper panel, covering purchases, promotions and advertising exposure. dunnhumby Customer data science company using retailer loyalty and transaction data to guide pricing, promotion and personalization decisions.

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Terms to know

Demand forecasting Estimating future customer demand for a product so inventory, production and staffing can be planned ahead. Audience measurement Quantifying how many people are exposed to media content and who they are, across TV, streaming, print, and digital. Predictive analytics Analytics that uses historical data and statistical models to estimate what is likely to happen next.

Related guides

How to choose a retail analytics platform Retail analytics covers market-share panels, in-store sensors, a retailer's own loyalty data and commerce platforms — the data source decides the tool.