The constraint is no longer belief but data quality, fragmented systems, and workforce capacity. At the same time, vendors retrofit sensors, digital twins, and robots into aging plants rather than waiting for greenfield builds.
For marketers, generic AI claims lose; proof tied to uptime, throughput, and an existing line wins.
The marketing consequence is that brownfield is the market. Position for the plant that already exists: lead with proof on aging lines — sensors retrofitted, systems connected, uptime gained — rather than greenfield showcases buyers cannot relate to their own floor. Predictive maintenance is the credible entry offer, so build campaigns and sales plays around a single measurable use case that can expand. Data readiness belongs in the story too: buyers know their fragmented systems are the blocker, so vendors who offer a path through the data problem, not just the algorithm, win the shortlist. Generic AI messaging aimed at u201csmart factoriesu201d loses to evidence from a line like theirs.