India’s consumer markets are entering an AI-first personalization cycle. As smartphone penetration exceeds 80% among urban youth, UPI becomes default for micro-payments, and vernacular internet use expands, brands are racing to turn first‑party signals into real‑time, hyper‑personalized journeys. We model India’s spend on the core personalization stack customer data platforms (CDP), real‑time decisioning, identity stitching, multilingual NLP, and creative rendering rising from ~US$2.8B in 2025 to ~US$8.1B by 2030. The business case rests on measurable uplifts in conversion, repeat purchase, and lower returns, particularly in mobile‑native categories: ecommerce, BFSI, food delivery, travel, telco, OTT, health, and quick commerce. Operationally, hyper‑personalization in India is not merely “right offer, right time.” It is right language, right context, right device often within low‑bandwidth constraints. Leaders are investing in multilingual NLP (Hindi and leading regional languages), on‑device models to respect latency and privacy, and unified identity graphs that bind offline store behaviors with app telemetry and UPI rails.