Recommendation engines Trends & Statistics

EMARKETER offers market research, trends and statistics for a variety of topics and industries. Here you will find a collection of reports, articles and other resources for Recommendation engines

AI is rewriting the start of the shopping journey

Article
Apr 01, 2026

AI is moving upstream, showing up earlier in the decision-making process and increasingly shaping what happens next.

Retail leaders see AI-powered recommendations redefining shopping in 2026

Article
Jan 08, 2026

As product catalogs grow, content multiplies, and shopping journeys splinter across platforms, AI recommendation engines are becoming the connective tissue between desire and decision. In 2026, retail leaders expect the technology to move from responding to queries to proactively anticipating what consumers want and guiding them through increasingly complex choice environments.

Why an OpenAI acquisition of Pinterest would help it compete with Google, Meta, and Amazon

Why an OpenAI acquisition of Pinterest would help it compete with Google, Meta, and Amazon

Article
Jan 06, 2026

OpenAI seeks real consumer intent, and a potential Pinterest acquisition would give OpenAI first-party shopping signals and native ad infrastructure to rival Google and Meta.

Navigating the AI-Powered Path to Purchase

Navigating the AI-Powered Path to Purchase

Report
May 19, 2025

Retailers and brands are racing to deploy AI across the shopping journey, but trust, quality, and execution will define who wins.

Generative AI for Personalization in Retail

Generative AI for Personalization in Retail

Report
Jul 30, 2024

GenAI is potentially a game changer for personalization in retail. This report takes a closer look at some of the key use cases.

Hyper-Personalization Explainer 2024

Hyper-Personalization Explainer 2024

Report
Mar 04, 2024

Hyper-personalization has long been an ambition for retailers—and the rise of generative AI means 2024 could be the year implementation accelerates across the industry.

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