Industrial AI in Indian Manufacturing

The strategic question for Indian manufacturing in 2026 is no longer whether to deploy industrial AI, but where, in what sequence, and against what governance. This playbook sizes the Indian industrial-AI market at $4.8–6.2B by 2030 (32–38% CAGR), locates ~70% of addressable value in three operational levers — downtime, yield/scrap and energy — and quantifies the economics: a 2.4–3.2× TCO multiple over software cost, a 58% base-case three-year ROI for SMEs with a 14-month median payback, and a 35–45% pilot scale-up failure rate driven overwhelmingly by data (28%) and strategic (22%) failures rather than algorithms. 137 pages, 36 exhibits and a companion workbook with parameterised financial models.