Predictive Maintenance Market Outlook:
Predictive Maintenance Market size was valued at USD 14.31 billion in 2025 and is expected to reach USD 205 billion by 2035, expanding at around 30.5% CAGR during the forecast period i.e., between 2026-2035. In the year 2026, the industry size of predictive maintenance is evaluated at USD 18.24 billion.
The growth of the market can be attributed to the growing need to reduce downtime and maintenance costs. Predictive maintenance predicts the best time for the maintenance of the equipment which also makes the maintenance procedure cost-effective, therefore it reduces the wastage of time and resources on the occasion of machine breakdown. Large factories lose 323 productivity hours annually on average. The average cost of lost sales, fines, downtime for employees, and restarting production lines is USD 532,000 per hour, or USD 172 million per facility yearly.
In addition to these, factors that are believed to fuel the market growth of the predictive maintenance market include digital transformation taking place in the organization is boosting the company’s progress along with the data consumption and production. The digital transformation of industries into industry 4.0, has introduced new predictive maintenance methods which are creating a new concept known as Maintenance 4.0. Organizations that have undergone digital transformation are anticipated to generate more than half of the global GDP by 2023. Moreover, every day, it is estimated that 1.145 trillion MB of data are produced. Around 300 billion emails were sent daily in 2022. Users sent about 650 million Tweets daily in 2022.
