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Advertima Vision AG

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advertima.com

Advertima Vision AG is a Switzerland-based Retail Media technology company turning in-store shoppers into measurable audiences.

Overview

Advertima Vision AG provides real-time visual interpretation of people in the physical world, turning in-store shoppers into measurable Retail Media audiences. Founded in 2021, the company aims to reinvent in-store Retail Media by applying 3D computer vision and machine learning to convert store traffic into relevant audiences. The platform integrates with existing Retail Media ecosystems, enabling brands and retailers to deliver online-like performance marketing in physical stores. The company emphasizes privacy by design, processing anonymized data locally on edge devices with no storage of images or videos, and using aggregated signals to protect individual privacy. With a global footprint and a focus on retailers and brands, Advertima enables real-time audience activation, measurement, and improved shopper experiences without exposing personal data.

Mission statement

Our mission is to reinvent in-store Retail Media using cutting-edge technology.

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What we offer

Audience AI & In-store Retail Media

Transform physical shoppers into addressable audiences, boosting Retail Media effectiveness and unlocking revenue.

advertima.com/why-advertima/in-store-retail-media/

Smart Signage

Transform in-store screens into targeted advertising platforms with real-time audience insights.

Market segments

Market size by segment

Growth potential (CAGR)

Retail media and in-store advertising

166 Billion USD21.8% CAGR

Capabilities to deliver targeted promotions and advertising in-store, integrate brand campaigns with retail media partners, and measure consumer engagement.

Retail audience analytics

1.7 Billion USD11% CAGR

Analytics and audience intelligence that segment, measure and optimize shopper behavior and campaign ROAS using anonymized, real-time in-store signals.

Digital out-of-home activation

5 Billion USD12.1% CAGR

Digital place-based capabilities including live feeds, ad-sponsored Wi‑Fi, interactive charging stations, and cross-channel content to enable data-informed DOOH campaigns and real-time engagement.

Privacy-preserving edge analytics

1.1 Billion USD23% CAGR

On-device computer vision and machine learning that processes anonymized demographic and behavioral signals locally to enable first-party data activation while maintaining GDPR-compliant privacy-by-design.

More information about our offering

Audience AI & In-store Retail Media

Audience AI is Advertima's in-store audience intelligence platform that transforms physical shoppers into real-time, anonymous, addressable audiences for Retail Media. It enables real-time audience activation, targeting, and measurement and integrates with existing Retail Media ecosystems. In-store Retail Media further enhances this by transforming physical stores into a measurable ad channel with support for multiple formats and real-time targeting, leveraging first-party data while preserving privacy.

  • Convert Shoppers Into Audiences
    Enhance the ability to target ads based on real-time demographics, ensuring the right messages reach the right shoppers.
  • Ensure Privacy With Anonymity
    Maintain shopper privacy by processing data locally, avoiding risks associated with storing sensitive information.
  • Engage Shoppers Instantly
    Deliver relevant content to shoppers at the moment they are in-store, improving the chances of conversion.
  • Prioritize Shopper Privacy
    Ensures that customer data is handled securely and ethically, reinforcing consumer trust.
  • Implement Real-Time Targeting
    Allows advertisers to reach their intended audience effectively based on current data.
  • Optimize Advertising Spend
    Utilize rigorous analytics to drive higher return on ad spend, making campaigns more efficient.
  • Automate Ad Deliveries
    Enable smart, efficient advertising through programmatic processes that respond to real-time audience changes.
  • Monetize First-Party Data
    Enhances revenue potential through secure data collaboration while maintaining shopper privacy.
  • Enable Seamless Campaigns
    Facilitates campaign planning across physical and digital channels, maximizing reach and efficiency.
  • Increase Retailer Profits
    Optimizes the profitability of in-store advertising through effective audience engagement.
  • Streamline Campaign Management
    Seamlessly link with various Retail Media platforms to enhance campaign effectiveness.
  • Utilize Varied Media Formats
    Offers flexibility in marketing strategies by incorporating both static and digital advertising.

Smart Signage

Smart Signage powers in-store screens with real-time audience targeting and analytics, turning physical shoppers into addressable audiences and enabling measurable retail media activations. It integrates with Grassfish CMS and Adtrac for seamless ad booking and content management.

  • Automate Ad Bookings
    Streamline the process of ad placements, enabling advertisers to easily connect with their target audiences.
  • Gain Audience Insights
    Access detailed analytics to understand shopper behavior and enhance future marketing strategies.
  • Target Audiences Dynamically
    Deliver tailored content to shoppers based on real-time demographics and interests.
  • Ensure Privacy
    Maintain customer trust by protecting personal data while optimizing advertising strategies.
  • Transform Signage
    Utilize in-store screens as powerful tools for strategic advertising and customer engagement.
  • Quick Learning Curve
    Get started with minimal training, ensuring seamless onboarding for all users.

References

Methodology and sourcing behind the market figures shown above.

Retail media and in-store advertising

Primary estimate uses eMarketer-based forecasts cited in the provided results: global retail media is forecast at ~$166B in 2025 with ~21.8% average growth (eMarketer). Oliver Wyman’s analysis (excluding China) cites a ~$90B retail media market and highlights in-store revenue as a growing share (currently ~10% in some retailers, potential up to 40%), supporting strong upside for in-store advertising within the broader retail media market. Perion/Statista context (share of digital ad spend) corroborates the scale and rapid growth of retail media.

Retail audience analytics

Estimated by reconciling available audience-analytics and retail-analytics market figures in the search results. The Business Research Company press release reports global audience analytics at $6.56B (2025) with ~12.5% CAGR; MarketResearchFuture reports retail analytics at $7.12B (2025) with 4.55% CAGR. Retail audience analytics (real-time, in‑store anonymized signals) is a narrower intersection of those markets; assuming a ~25% share of each market and averaging yields ~USD 1.7B. Growth potential is positioned between the higher audience-analytics CAGR and lower retail-analytics CAGR, adjusted upward because real-time in-store signals and privacy-driven demand are accelerating adoption (estimated ~11% CAGR).

Digital out-of-home activation

Primary sources show global DOOH ≈ $20B (2024–2025) with multi‑year CAGR in the low‑to‑teens (Fortune: 12.09%). Digital place‑based/activation (retail, venue, Wi‑Fi, interactive) is a material subset of DOOH; using a conservative 20–30% share of the $20.17B DOOH market yields an estimated $5B (approx. 25% share). Growth potential is aligned with overall DOOH forecasts (≈12% CAGR) given stronger demand for data‑driven, programmatic and place‑based activations.

Privacy-preserving edge analytics

Estimate derived by positioning privacy-preserving edge analytics as a specialized subset of the broader privacy-preserving AI market and privacy-focused web/edge analytics. Precedence Research values the global privacy-preserving AI market at USD 5.32B in 2026 with a 25.1% CAGR; edge computing sees large-scale investment (MarketsandMarkets: USD 111.34B in 2026, 23.3% CAGR). Web analytics (MRFR) is ~USD 9.8B in 2026 (16.1% CAGR). Combining these sources and assuming the on-device, anonymized CV/ML niche represents roughly ~20% of privacy-preserving AI and a comparable share of privacy-first analytics at the edge yields a current market size estimate ~USD 1.1B and growth potential in line with edge AI/privacy-preserving AI (≈23% CAGR).

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