162 India’s organised retail property stock is expected to surge from 89 million sq ft to 145 million sq ft by 2030, according to a new JLL report. The biggest driver? Food and beverage brands, which now account for over 40% of leasing in top malls — a dramatic shift from their pre-pandemic footprint. For marketers, this signals more than just a real estate trend. It reflects how physical spaces are being redefined as immersive brand stages. As F&B anchors more mall footfall, other categories — from beauty and electronics to lifestyle — are repositioning around experience, dwell time, and share-of-wallet. The JLL study notes that over 35 new malls are under construction across major cities, with additional expansion in tier-2 markets like Lucknow, Coimbatore, and Jaipur. Notably, modern formats prioritising dining zones, open-air sections, and event spaces are driving developer strategy. For brands, this is an invitation to rethink offline presence — not just in terms of square footage, but in terms of storytelling. Retail-as-experience is back in focus: tasting zones, in-store content, and cross-category events are becoming powerful marketing levers. Leasing teams are increasingly working in tandem with brand teams to activate spaces with campaigns, pop-ups, and digital integrations. While digital continues to dominate performance marketing budgets, this shift in retail real estate offers brands a renewed opportunity to build physical memory structures — especially in categories where trial, trust, and experience drive conversion. In the post-pandemic attention economy, space is no longer just about presence—it’s about persuasion. You Might Be Interested In From Holding to Operating: Inside Omnicom’s Bold Transformation From Twitch to TV: How Streamers Are Shaping the Future of Brand Endorsements U.S. Consumers Concerned About Tariffs—What Brands Need to Know Duo the Owl’s Death Went Viral—But Should Brands Follow Suit? Spring Cleaning for Your Social Media: The Essential Guide for 2025 IBM’s Jonathan Adashek: 99% of Enterprise Data Misses the AI Mark