What We Learned From Analyzing 8,715 DOOH Screens Across 22 Countries (May 2026 Data)

**TL;DR:** Between January 1 and May 11, 2026, we analyzed supply-side telemetry across 8,715 active screens spanning 22 countries. Generating 3,140,000 monthly programmatic impressions, this network footprint offers a unique vantage point into the maturation of programmatic digital out-of-home (DOOH). The data reveals a highly decentralized ecosystem—spanning 2,054 US cities and 38 distinct venue categories—where value is increasingly driven by granular spatial targeting and the mapping of 1,558 IAB Audience Nodes to physical locations.

## The Maturation of the Programmatic DOOH Ecosystem

The digital out-of-home landscape has undergone a structural transformation over the past half-decade. What was once a medium defined by manual insertion orders, fragmented local networks, and opaque pricing models has matured into a highly liquid, programmatically traded ecosystem. The theoretical promise of DOOH—combining the high-impact visibility of traditional outdoor advertising with the targeting and attribution capabilities of digital media—has finally materialized at scale.

To understand the current mechanics of this market, we must look at the underlying supply-side telemetry. We analyzed network-level statistics observed across January 1 – May 11, 2026. The dataset encompasses 8,715 active screens distributed across 22 countries, providing a statistically significant cross-section of global DOOH supply. By examining the bid density, venue categorization, and geographic dispersion of these endpoints, we can map the exact contours of demand in 2026.

This is not a theoretical exercise. The data reflects actual clearing prices, actual bid requests, and actual spatial distribution. It provides a window into how the in-network DSP integrations are valuing physical space, how multi-SSP routing is optimizing yield for media owners, and how the demand waterfall is adapting to a post-cookie, privacy-first advertising environment.

### The Shift Toward Decentralized Supply

Historically, the DOOH narrative was dominated by spectaculars—massive, high-impact screens in Times Square, Piccadilly Circus, or the Sunset Strip. While these marquee assets remain valuable, they represent a shrinking percentage of total programmatic liquidity. The real growth story of the 2020s has been the decentralization of supply.

The presence of 8,715 active screens in our observation period highlights this shift. These screens are not concentrated in a handful of global mega-cities; they are distributed across a vast, heterogeneous network of place-based environments. This distribution fundamentally alters the value proposition for media planners. Instead of buying a screen because of its raw footfall, buyers are targeting screens based on the specific context of the venue and the precise demographic makeup of the surrounding audience.

## The Geographic Reality of Modern DOOH

The most striking revelation from the January 1 – May 11, 2026 data is the sheer geographic spread of the network. Operating across 22 countries requires navigating a complex matrix of regulatory environments, cultural nuances, and varying degrees of programmatic maturity. However, the true story of geographic decentralization is best illustrated by the domestic footprint.

### Mapping the Suburban Sprawl: 2,054 US Cities

Within the United States alone, the network spans 2,054 US cities. This number is profound. It indicates that programmatic DOOH has definitively breached the boundaries of Tier 1 metropolitan statistical areas (MSAs) and permeated the suburban and exurban long tail.

The dispersion across 2,054 US cities aligns with broader macroeconomic and demographic shifts. The persistence of remote and hybrid work models into 2026 has permanently redistributed daytime populations. Commuter patterns have fractured, meaning the traditional strategy of monopolizing transit hubs and downtown arterial highways is no longer sufficient to achieve national reach.

Consumers are spending more time, and more money, closer to home. Consequently, the in-network DSP integrations are increasingly routing budgets toward suburban grocery stores, local pharmacies, neighborhood gyms, and regional electric vehicle (EV) charging stations. The demand waterfall has adapted to this reality, with hyper-local spatial targeting becoming a standard line item in omnichannel campaigns.

For a deeper look at how this geographic dispersion impacts total network liquidity, you can review our [network snapshot](/research/state-of-dooh-2026/network-snapshot/).

### The Arbitrage Opportunity in Tier 3 Markets

The presence of DOOH supply in 2,054 US cities creates a fascinating arbitrage opportunity for sophisticated media buyers. In Tier 1 cities, bid density is high, and clearing prices are fiercely competitive. However, in Tier 3 and Tier 4 markets, the supply of high-quality, programmatically enabled screens often outstrips local demand.

National brands leveraging multi-SSP routing can acquire premium screen time in these smaller markets at highly efficient CPMs. Because the 8,715 active screens are standardized through the same supply-side infrastructure, a buyer in New York can execute a cohesive, brand-safe campaign across hundreds of small towns in the Midwest with a single click. This level of frictionless geographic reach was unimaginable just a few years ago.

## Venue Diversity and the OpenOOH Taxonomy

Geographic location is only one half of the spatial targeting equation; the other half is the immediate physical context of the screen. During the observation period of January 1 – May 11, 2026, we tracked impressions across 38 distinct venue categories.

### The Importance of Standardization

In the early days of programmatic DOOH, venue categorization was a chaotic, fragmented mess. One network might classify a location as a "Health Club," another as a "Fitness Center," and a third simply as "Lifestyle." This lack of standardization created massive friction for DSPs, preventing algorithms from efficiently matching demand with relevant supply.

The industry's adoption of standardized frameworks has solved this liquidity trap. The 38 venue categories observed in our dataset map cleanly to the [OpenOOH Venue Taxonomy](https://iabtechlab.com/standards/openooh-venue-taxonomy/) maintained by the IAB Tech Lab. This standardization is the bedrock of programmatic liquidity. When a demand-side platform receives a bid request, it knows with absolute certainty whether the screen is located in an elevator, a medical waiting room, a convenience store, or a transit shelter.

### Analyzing Yield Across 38 Venue Categories

The diversification across 38 venue categories provides media owners with a hedge against macroeconomic volatility. Different venue types exhibit distinct yield curves and demand cycles. For example, during the January 1 – May 11, 2026 observation period, we saw distinct bidding behaviors based on the contextual relevance of the venue.

Screens in point-of-care facilities (e.g., doctor's offices, pharmacies) consistently commanded high clearing prices due to the captive nature of the audience and the endemic demand from pharmaceutical and CPG advertisers. Conversely, screens in high-throughput environments like convenience stores generated lower individual CPMs but made up for it through massive transaction volume and high turnover rates.

Understanding the nuanced performance of these 38 venue categories is critical for anyone involved in yield optimization. For a granular breakdown of how demand fluctuates across different physical environments, consult our detailed [venue mix](/research/state-of-dooh-2026/venue-mix/) analysis.

## Audience Intelligence at the Edge

The most significant evolution in DOOH over the past several years has been the shift from proxy metrics (e.g., estimated weekly footfall) to deterministic, privacy-compliant audience intelligence. Our dataset reveals that the 8,715 active screens are now mapped against 1,558 IAB Audience Nodes.

### Contextualizing Identity-Free Targeting

The digital advertising ecosystem of 2026 operates under strict privacy mandates. The deprecation of third-party cookies and the proliferation of state-level data privacy laws have forced advertisers to rethink how they reach specific demographics. DOOH has emerged as a major beneficiary of this structural shift because it offers high-fidelity audience targeting without relying on personally identifiable information (PII).

By mapping physical locations to 1,558 IAB Audience Nodes, the supply-side infrastructure allows buyers to target behavioral and demographic cohorts based on real-world movement patterns. If a DSP wants to reach "High-Net-Worth Fitness Enthusiasts," it doesn't need to track individual mobile device IDs. Instead, it can bid on screens located in boutique fitness studios situated in affluent zip codes during peak morning hours.

This intersection of physical space and audience data is the defining characteristic of modern DOOH. As highlighted in the [State of Data 2024](https://www.iab.com/insights/state-of-data-2024/) report, the industry's pivot toward aggregated, location-based intelligence has insulated DOOH from the signal loss plaguing mobile and desktop display channels. The 1,558 IAB Audience Nodes act as the connective tissue, translating physical foot traffic into digital buyer personas.

### Dynamic Creative Optimization in the Physical World

The mapping of 1,558 IAB Audience Nodes to 8,715 active screens also unlocks the potential for Dynamic Creative Optimization (DCO). Because the in-network DSP integrations receive rich contextual data with every bid request, advertisers can serve creative that adapts in real-time to the audience node, the venue category, and even local environmental triggers like weather or traffic conditions.

A quick-service restaurant (QSR) can programmatically swap its creative from a hot coffee promotion during a cold morning commute to an iced beverage promotion when the temperature spikes in the afternoon. This level of relevance, executed across 2,054 US cities simultaneously, drives the kind of return on ad spend (ROAS) that previously required highly targeted mobile campaigns.

## Liquidity and the Demand Waterfall

All of this geographic scale, venue categorization, and audience intelligence ultimately culminates in liquidity—the actual clearing of programmatic transactions. Between January 1 and May 11, 2026, the network facilitated 3,140,000 monthly impressions.

### Understanding the Impression Math

To the uninitiated, 3,140,000 monthly impressions across 8,715 active screens might seem mathematically low. If you divide 3.14 million by 8,715, you get roughly 360 impressions per screen, per month. It is vital to understand that this figure represents *cleared, premium programmatic impressions*, not gross footfall or total screen playouts.

In the DOOH ecosystem, a screen might play thousands of ads per day on a localized loop, many of which are dedicated to house ads, direct local sales, or non-biddable static content. The 3,140,000 monthly impressions represent the highly curated, biddable inventory that is exposed to the programmatic demand waterfall and successfully cleared by external DSPs.

This distinction is crucial. The value of a programmatic DOOH impression is derived from its targeted nature. A screen in a specialized medical office might only generate a few dozen highly targeted, programmatically cleared impressions a day, but those impressions command a premium CPM because they reach a hyper-specific audience node at a moment of high contextual relevance. The focus of the modern SSP is not to indiscriminately blast impressions, but to optimize the yield curve by matching the right biddable moment with the right demand source.

### Multi-SSP Routing and Yield Optimization

Generating 3,140,000 monthly programmatic impressions requires sophisticated supply-side architecture. Media owners cannot rely on a single source of demand. Instead, they utilize multi-SSP routing to expose their inventory to a diverse array of in-network DSP integrations.

When a screen approaches a biddable slot in its loop, the supply-side platform broadcasts the bid request—enriched with the venue category, the geographic coordinates, and the associated IAB Audience Nodes—to the demand waterfall. Algorithms evaluate the bid density and clearing prices in real-time, ensuring that the media owner maximizes the yield for that specific fraction of a second.

This real-time auction mechanics, operating at scale across 22 countries, is what makes programmatic DOOH such a powerful channel. For a foundational understanding of how these auctions operate, we recommend reading our [Programmatic DOOH 101](/guides/programmatic-dooh-101/) guide.

## The Democratization of Screen Supply

The statistics observed between January 1 and May 11, 2026, point to a broader democratization of the DOOH industry. The barrier to entry for both media owners and advertisers has plummeted.

In the past, operating a digital billboard network required massive capital expenditure and a dedicated direct sales force. Today, a local entrepreneur can install a handful of commercial-grade screens in a network of neighborhood laundromats, integrate them with a supply-side platform, and immediately begin monetizing that inventory through global DSP demand. The 8,715 active screens in our dataset include hundreds of these independent, niche networks that have been aggregated into a unified, biddable marketplace.

### Empowering Local Advertisers

This democratization extends to the buy side as well. The granular geographic footprint—spanning 2,054 US cities—means that DOOH is no longer the exclusive domain of Fortune 500 brands with massive media budgets. Local businesses can now leverage the same programmatic infrastructure to run highly targeted, hyper-local campaigns.

A regional hardware store can set up a geofence around its three locations and bid on screens within a five-mile radius, targeting the specific venue categories (e.g., gas stations, diners) that index high for their target demographic. This levels the playing field, giving Main Street businesses access to premium out-of-home inventory without the need for long-term commitments or massive minimum spends. We explore these strategies extensively in our resource on [DOOH for small business](/guides/dooh-for-small-business/).

## The Path Forward for Programmatic DOOH

The data from January 1 – May 11, 2026, paints a picture of a healthy, expanding, and highly sophisticated ecosystem. The presence of 8,715 active screens across 22 countries demonstrates that the infrastructure required to support global programmatic DOOH is fully deployed and operational.

Furthermore, the integration of 38 standard venue categories and 1,558 IAB Audience Nodes proves that the industry has successfully bridged the gap between physical infrastructure and digital targeting capabilities. As organizations like the DPAA continue to publish [research and insights](https://www.dpaaorg.com/research-and-insights/) advocating for standardization and transparency, we expect bid density and overall liquidity to accelerate.

The 3,140,000 monthly impressions we observed are merely a baseline. As more media owners adopt multi-SSP routing and as more omnichannel DSPs allocate dedicated budgets to place-based media, the volume of cleared programmatic transactions will scale exponentially. The challenge for the next phase of industry growth will not be building the pipes, but refining the algorithms that flow through them—optimizing yield, reducing latency, and delivering increasingly relevant experiences to consumers in the physical world.

## FAQ

### How do you define an "active screen" in this dataset?
An "active screen" is defined as a unique digital display endpoint that has successfully sent at least one valid programmatic bid request to the supply-side platform and recorded at least one successful ad playback (impression) during the observation period (January 1 – May 11, 2026). Screens that were registered in the network but remained offline, or screens that only played local, non-programmatic loop content without pinging the demand waterfall, are excluded from the 8,715 count.

### Why is the monthly impression count relatively low compared to total network footfall?
The 3,140,000 monthly impressions represent *cleared, biddable programmatic impressions*, not gross foot traffic or total screen playouts. A screen may play thousands of ads per day, but many of those slots are dedicated to house ads, direct-sold local campaigns, or non-commercial content. The 3.14 million figure strictly counts the premium inventory that was exposed to the programmatic demand waterfall, bid on by an in-network DSP integration, and successfully delivered to a targeted audience node.

### How does multi-SSP routing impact fill rates across the 38 venue categories?
Multi-SSP routing significantly increases fill rates by exposing venue-specific inventory to the broadest possible array of demand sources. Because different DSPs have different advertiser bases and bidding algorithms, a single SSP might not have the specific demand required to fill a niche venue (e.g., an EV charging station). By routing bid requests through multiple supply-side platforms simultaneously, the media owner maximizes bid density, ensuring that highly specific inventory across all 38 venue categories finds the buyer willing to pay the highest clearing price.