
India could unlock a productivity opportunity equivalent to 1 per cent of GDP by shifting from reactive, run-to-fail maintenance to predictive, data-driven asset management, industry leaders said at MRAM Expo 2026 on Wednesday, 7 October 2026. Both rediff.com and The Economic Times report the opportunity is based on recovering output lost to equipment breakdowns, unplanned downtime, inefficient assets and premature replacement.

An ABB global survey cited by both outlets found that 88 per cent of Indian industrial businesses experienced an unplanned outage at least once a month, compared with 69 per cent globally, costing a typical business nearly Rs 70 lakh per hour. The NITI Aayog report on AI for Viksit Bharat recommends AI-based predictive maintenance, digital twins and remote monitoring, the sources state.
The Indian Asset Performance Management market was estimated at USD 810.6 million in 2024 and is projected to reach USD 2.25 billion by 2033, according to both reports.
Both rediff.com and The Economic Times present the same PTI-sourced report with nearly identical facts, figures, quotes and attribution, reflecting uniform wire coverage. The story leads with the 1 per cent GDP claim, frames the shift as a policy-backed opportunity, and quotes ABB, IRISS, and MRAM officials without critical or opposition voices. No source highlights costs of transitioning or questions the forecast. The balanced reading is that both outlets adopt the industry's and government's optimistic framing of predictive maintenance as a clear economic win, with the NITI Aayog recommendation providing official backing. The projected growth of the APM market to USD 2.25 billion by 2033 is the concrete number to watch.
Coverage: 2 sources, 2 neutral
Sources (2): rediff.com (neutral report), economictimes.indiatimes.com (neutral report)
This brief was synthesised by AI from the 2 sources linked above, so one read covers every framing they carry. Methodology and corrections.