The data foundation behind every decision
AI can generate answers. Only trusted data can ensure they’re right. NIQ captures how the world actually shops at the level of detail required to power real decisions.
Why trusted intelligence matters
In an AI-driven world:
Incomplete data
Invisible products
Small accuracy gaps
Long-term meaningful variance
Poor structure
Unreliable decisions
Weak governance
scaled errors
NIQ ensures that AI operates on complete, accurate, and trusted intelligence, end to end.
What we measure
Clean, global, longitudinal data — the foundation everything downstream depends on.
Omnichannel
Retail measurement across the global commerce footprint
✓ 90+ Countries
✓ 8.9K+ retailers
✓ $7.4T spend covered
✓ 4T records/week
Content
Product reference data, normalized and enriched at scale
✓ 246M+ product items
✓ 10B+ total attributes
Consumer
Who buys what, and why – projected to population truth
✓ 5.5M Panelists
✓ 50+ countries
Use case specific
Specialized datasets for innovation, pricing & incrementality
✓ 22K+Products
✓ 500K+ Reviews
✓ 40 Countries
NIQ helps you move from data to decisions
Connect AI. Our Data Factory
Fragmented data normalized into high-quality fuel for intelligence platforms, applications, and AI capabilities.
Harmonize
Standardize and connect disparate data sources across retailers, products, and markets
Enrich
Add attributes, context, and reference intelligence that make raw data more complete and commercially meaningful
Interpret
Structure data so AI systems understand business logic, definitions, and relationships—not just raw fields
Built for AI
Most data isn’t ready for AI. NIQ’s is. Our infrastructure ensures:
- Machine-readable, interoperable datasets
- Continuous updates across markets and channels
- Consistent definitions and business logic
Designed for how you work
Trusted intelligence reaches the point of decision. NIQ’s platform is designed for seamless connectivity and integration into your environment:
- Applications: delivering insights directly to users
- APIs and cloud delivery: integrating into client systems and models
- Agent-to-agent architectures: enabling machine-speed decision-making
Data stewardship
Governed, secured, and controlled across the data lifecycle.
- Restricted access and tightly controlled sharing
- Protected AI environment with enterprise safeguards
- Formal standards for transparency, accountability, and human review
- Privacy, product, and AI legal support embedded in responsible innovation processes
