Artificial Intelligence (AI)-Driven Retail Media Attribution Market Report 2026

The artificial intelligence (AI)-driven retail media attribution market size has grown exponentially in recent years. It will grow from $1.99 billion in 2025 to $2.45 billion in 2026 at a compound annual growth rate (CAGR) of 23.1%. The growth in the historic period can be attributed to adoption of digital retail platforms, growth of e-commerce sales, early use of analytics in marketing, increasing marketing budgets, rising importance of performance metrics.

The artificial intelligence (AI)-driven retail media attribution market size is expected to see exponential growth in the next few years. It will grow to $5.52 billion in 2030 at a compound annual growth rate (CAGR) of 22.5%. The growth in the forecast period can be attributed to integration of AI-driven attribution tools, expansion of omnichannel retail strategies, advancements in machine learning models, increased demand for personalized marketing, regulatory emphasis on data transparency. Major trends in the forecast period include real-time campaign optimization, cross-channel attribution analytics, predictive consumer behavior modeling, personalization & targeted marketing, data privacy & compliance management.

The increasing growth of e-commerce sales is playing a significant role in driving the artificial intelligence (AI)-driven retail media attribution market. E-commerce refers to the digital buying and selling of goods and services via websites, mobile applications, and other online platforms, offering consumers the convenience of shopping without visiting physical stores. This surge in e-commerce activity is primarily fueled by the widespread availability of the internet and smartphones, giving more people easy access to digital shopping channels. AI-driven retail media attribution supports this growth by enabling businesses to track consumer behavior across different platforms, optimize marketing campaigns in real time, and offer personalized shopping experiences that improve conversion rates. For example, in May 2025, the U.S. Census Bureau reported that e-commerce sales grew by 8.5% (±1.1%) in the first quarter of 2024 compared to the same period in 2023, while total retail sales rose by 2.8% (±0.5%). During this time, e-commerce made up 15.6% of all retail sales. As a result, the expansion of e-commerce is contributing significantly to the growth of the AI-driven retail media attribution market.

Leading companies in the AI-driven retail media attribution sector are developing advanced solutions such as deterministic attribution models to more accurately link advertising efforts to actual sales results. These models use verified first-party data to connect customer actions directly to marketing touchpoints, giving brands a more accurate understanding of return on investment and the customer journey. For instance, in July 2025, AiOpti Media LLC, a U.S.-based company specializing in data, media, and analytics, introduced an AI-powered attribution and measurement platform. This platform combines data, media, and analytics to offer comprehensive insights into marketing performance. It includes features such as OptiRevea, which identifies under-targeted audience segments, and a Super AIdentity Graph that converts anonymous website visitors into verified identities without relying on cookies. It also enables omnichannel ad delivery across platforms such as connected TV, audio, video, display, and out-of-home media using deterministic signals. Furthermore, it supports offline attribution by utilizing real-time location and purchase data to track in-store engagement, along with customer journey analytics to refine every stage of the buying process. Built with a privacy-centric framework, the solution allows brands, agencies, and multi-location businesses to turn first-party data into actionable insights that enhance growth, customer relationships, and media return on investment.

In January 2024, Omnicom Group, a US-based technology and marketing communications company, acquired Flywheel Digital for approximately US$ 835 million. Through this acquisition, Omnicom sought to enhance its global commerce and retail media capabilities by broadening its data-driven, AI-powered commerce intelligence, media optimization, and performance measurement solutions for brand clients across leading retail platforms. Flywheel Digital is a US-based technology company specializing in digital commerce intelligence, retail media optimization, advanced analytics, and performance measurement solutions that support brands in increasing sales and improving return on media investment across online marketplaces.

Major companies operating in the artificial intelligence (AI)-driven retail media attribution market are Walmart Inc., Amazon.com Inc., Google LLC, Microsoft Corporation, Meta Platforms Inc., Eagle Eye Solutions Group, Oracle Corporation, Salesforce Inc., Tata Consultancy Services Limited, Adobe Inc., Omnicom Media Group, Dentsu Group Inc., NielsenIQ Holdings LLC, Epsilon Data Management LLC, The Trade Desk Inc., Criteo SA, Zeta Global Holdings Corp., LiveRamp Holdings Inc., Tinuiti Inc., Skai Holdings Inc., Measured Inc.

North America was the largest region in the artificial intelligence (AI)-driven retail media attribution market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence (AI)-driven retail media attribution market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East and Africa. The countries covered in the artificial intelligence (AI)-driven retail media attribution market report are Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain.

The artificial intelligence (AI)-driven retail media attribution market consists of revenues earned by entities by providing services such as attribution modeling, marketing analytics and insights, campaign performance measurement, and reporting and visualization services. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

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