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Predictive maintenance is an approach used by enterprises to predict future failure points as well as monitor the condition of an asset in real time. Besides passive monitoring, the predictive maintenance technique leverages the benefits of Machine Learning (ML) algorithms that take critical historical data, such as temperature, pressure, and vibration, as an input for providing prediction related to the condition of an asset in real time. The prediction enables enterprises to significantly reduce unplanned machine downtime and decide whether any particular asset needs maintenance. Predictive maintenance also ensures machines are taken for maintenance to reduce production losses.


Visionary leaders are the leading market players in terms of new developments such as product launches, innovative technologies, and the adoption of growth strategies. These players have a broad product offering that caters to most of the regions globally. Visionary leaders primarily focus on acquiring the leading market position through their strong financial capabilities and their well-established brand equity.


Innovators in the competitive leadership mapping are vendors that have demonstrated substantial product innovations as compared to their competitors. The companies have focused on product portfolios. However, they do not have very strong growth strategies for their overall business, when compared with the visionary leaders.


Dynamic Differentiators are established players with very strong business strategies. However, they have a weaker product portfolio compared to the visionary leaders. They generally focus only on a specific type of technology related to the product.


Emerging companies have niche product and service offerings. Their business strategies are not as strong as that of the established vendors. The emerging vendors include the new entrants in the market, emerging in terms of product portfolio and geographic reach, and require time to gain significant traction in the market.


Top Predictive Maintenance Startups

Comparing 39 vendors in Predictive Maintenance Startups across 24 criteria.
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