Predictive Maintenance Adoption Doubles as Manufacturers Shift to Data-Driven Strategies

  • Predictive maintenance adoption doubled from 9% to 18% YoY, while proactive maintenance fell from 55% to 45%.
  • 72% of manufacturers now allocate 16–30% of maintenance budgets to new technologies, with focus on cybersecurity, data management, and AI.
  • Skills-related challenges account for 78% of reported obstacles, including lack of expertise and labor gaps.
  • Confidence in near-term Industry 5.0 achievement declined, with 40% now expecting a 1–4 year timeline.

The shift toward predictive maintenance reflects broader manufacturing trends of digital maturity and operational efficiency. However, the disconnect between technology adoption and workforce readiness highlights a critical bottleneck in achieving long-term Industry 5.0 goals. Manufacturers are prioritizing near-term reliability initiatives as a bridge to future ambitions, signaling a pragmatic approach to digital transformation.

Scaling Challenges
Whether manufacturers can sustain the pace of predictive maintenance adoption across entire organizations.
Workforce Readiness
How the skills gap will impact the effectiveness of new technology investments.
Industry 5.0 Timelines
The pace at which manufacturers realign expectations for Industry 5.0 implementation.