What Are POIs? A Guide to Industrial POI Data

If you searched for what POI stands for, what is a POI, or how to find POI data, start here. This guide covers the basics first: what POI means, where POI data comes from, and what’s actually in a POI record.

Then it goes one level deeper, into a specific and often overlooked branch of POI data: industrial POI data, the location data behind warehouses, manufacturing plants, wholesalers, and data centers, and how businesses use it for demand forecasting, supply chain planning, and commercial insurance decisions.

What Does POI Stand For?

POI stands for point of interest. The term comes from cartography and GPS navigation, where it originally described any specific location worth marking on a map, such as a restaurant, landmark, or gas station. It’s used so often in mapping, geospatial, and business analytics that it now functions as its own word. You’ll also see it written as POI’s or P.O.I. in casual use, though POI, with no punctuation, is the standard form.

What Is a POI in a Business Context? (POI Meaning in Business)

In business, a POI is any physical location a company wants to track, analyze, or plan around. That includes a company’s own stores, but also competitors, suppliers, partners, and any other place relevant to a decision.

Define POI too narrowly and you miss most of its value. A POI isn’t just a place on a map; it’s a place with business context attached, such as what type of business operates there, when it opened, and how it relates to other locations nearby. That context, more than the pin itself, is what makes POI-based analysis useful across retail, real estate, finance, and insurance.

How to Find POI Data (Common POI Sources)

POI data doesn’t come from a single place. Most POI bases are built by combining several source types, then cleaning and reconciling them into one consistent record per location:

• Government and public records, such as business licenses and zoning data
• Business directories and store locators published by companies themselves
• Web and app signals, including business listings and reviews
• Mobile location and GPS data, used to confirm ongoing activity at a site
• Human verification, where analysts confirm or correct ambiguous listings

Combining and deduplicating these sources at scale is the hard part, and it’s what separates a usable POI base from a messy one. For a deeper breakdown of POI sources and how to evaluate a provider, see SafeGraph’s guide to point of interest data.

What’s Included in a POI Record?

A typical POI record includes:

• Geographic coordinates and a verified street address
• A category or industry classification, commonly a NAICS code
• Building footprint or geometry
• Brand or operator name, where applicable
• Opened and closed dates, showing whether the location is still active

   

That covers POI in general. Now to the specific type of POI at the center of this guide.

What Is Industrial POI Data?

Industrial POI data describes non-consumer, non-retail facilities, including warehouses, manufacturing plants, wholesale distributors, self-storage sites, and data centers. It’s a subset of POI data built for supply chain, financial services, and commercial insurance use cases rather than consumer-facing ones like navigation or store locators.

Today, coverage across these five categories (general warehousing, self-storage, refrigerated warehousing, data centers, and industrial machinery wholesalers) totals roughly 125,000 verified US locations. Data centers alone have more than tripled since 2021, from about 2,000 to over 7,000, and it’s easy to see why: US data center construction spending hit an estimated $77.7 billion in 2025, up 190% year over year, and spending in just the first four months of 2026 already reached $49.5 billion, more than triple the pace of the same period a year earlier. Every new facility is a new industrial POI, and every expansion changes its footprint.

Industrial POI Data vs. Consumer POI Data

How Businesses Use Industrial POI Data

Industrial POIs sit outside the retail and consumer locations most POI use cases are built around, but the underlying logic is the same one covered in SafeGraph’s common POI use cases across industries. At SafeGraph, the strongest demand for industrial POI data has come from four areas.

Demand Forecasting

Financial services firms and brands increasingly feed geospatial signals into demand models alongside transaction data, a trend covered in more depth in SafeGraph’s big data use cases in financial services. Openings, closures, and footprint changes at industrial sites are leading indicators of shifts in production and market presence, often visible before they show up in quarterly earnings. Measuring activity at ports and wholesaler sites can be an even better demand proxy than measuring it at the plants themselves, since it captures the point where goods actually change hands.

Supply Chain and Logistics

Global supply chain disruptions are estimated to cost businesses $184 billion annually, and Prologis’s 2026 Supply Chain Outlook lists economic volatility (51%) and trade barriers and tariffs (48%) as the top two concerns among supply chain leaders this year. Against that backdrop, brands need an accurate, current map of every node in their supply chain, not just distribution centers, but the wholesalers and storage facilities that feed them.

Precise building footprints double as geofences here. A tight polygon around the actual warehouse, rather than a centroid-and-radius approximation, prevents false positives from confirming a delivery at the wrong building on a shared industrial parcel.

Commercial Insurance and Risk

Industrial sites are structurally more complex than a typical retail location. A single address can cover several buildings, a parking lot, and internal roadways, all of which factor into a property’s risk profile, as detailed in SafeGraph’s piece on insurance risk modeling with places data.

This matters more, not less, in the current market. Commercial property insurance rates have been softening through 2026, with some property lines down as much as 15%, but that hasn’t relaxed underwriting standards. Insurers are leaning harder on granular, data-driven risk models to keep pricing accurate as rates move, which means independently verified site data carries more weight in underwriting decisions, not less.

Site Selection and Industrial Real Estate

Industrial POI data also informs where to locate a new distribution hub or manufacturing facility. This is a case where aggregate vacancy numbers can mislead: big-box warehouses over 300,000 square feet are running close to 10% vacancy in many markets this year, while small-bay industrial space under 50,000 square feet remains tight at around 4.8%. A site-selection team relying on national averages would miss that split entirely. Mapping the actual density of nearby warehouses, wholesalers, and manufacturers, similar to the way catchment area analysis is used for retail site selection, gives a far more accurate read on competition and available capacity in a target market.

Closing Thoughts

POI, in the end, is a simple idea applied across a lot of use cases: know where things are, know what they are, and keep that information current. Industrial POI data applies that same idea to the physical infrastructure most people never see: the warehouses, plants, and data centers that keep goods moving and claims accurately priced. As industrial real estate, supply chains, and AI-driven data center construction all keep shifting through 2026, the businesses with the most current, most precise view of these sites will be the ones making the best calls.