What are our data sources?
We use the data sources on the side for ranking solutions and awarding badges in predictive maintenance software category. Our data sources in predictive maintenance software category include;
Predictive maintenance software helps companies perform maintenance and identify problems that could affect their fixed assets before they occur.
If you’d like to learn about the ecosystem consisting of Predictive Maintenance Software and others, feel free to check AIMultiple Industrials.
AIMultiple is data driven. Evaluate 28 services based on
comprehensive, transparent and objective AIMultiple scores.
For any of our scores, click the information icon to learn how it is
calculated based on objective data.
*Products with visit website buttons are sponsored
UpKeep is a modern, intuitive, and mobile first CMMS that is proven to streamline the work order process.
Limble is an easy to use mobile CMMS software designed by technicians for technicians
eMaint's CMMS system grows with your business size and needs.
Uptake is the industrial analytics platform that delivers products to major industries to increase productivity, security, safety and reliability.
CMMS & Preventive Maintenance Software specialists since 1990. Customized implementation & training. Easy to use.
Some say we're in a new Industrial Revolution. We just think it's a good time to get ahead.
We use the data sources on the side for ranking solutions and awarding badges in predictive maintenance software category. Our data sources in predictive maintenance software category include;
review websites
social media websites
search engine data for branded queries
According to the weighted combination of 7 data sources
UpKeep
Limble CMMS
eMaint CMMS
Uptake
PMXpert
Taking into account the latest metrics outlined below, these are the current predictive maintenance software market leaders. Market leaders are not the overall leaders since market leadership doesn’t take into account growth rate.
UpKeep
Limble CMMS
eMaint CMMS
Uptake
PMXpert
These are the number of queries on search engines which include the brand name of the solution. Compared to other Industrials categories, Predictive Maintenance Software is more concentrated in terms of top 3 companies’ share of search queries. Top 3 companies receive 86%, 16% more than the average of search queries in this area.
10 employees work for a typical company in this solution category which is 11 less than the number of employees for a typical company in the average solution category.
In most cases, companies need at least 10 employees to serve other businesses with a proven tech product or service. 14 companies with >10 employees are offering predictive maintenance software. Top 3 products are developed by companies with a total of 5k employees. The largest company building predictive maintenance software is Software AG with more than 3,000 employees.
Taking into account the latest metrics outlined below, these are the fastest growing solutions:
UpKeep
Limble CMMS
eMaint CMMS
PMXpert
Augury
We have analyzed reviews published in the last months. These were published in 4 review platforms as well as vendor websites where the vendor had provided a testimonial from a client whom we could connect to a real person.
These solutions have the best combination of high ratings from reviews and number of reviews when we take into account all their recent reviews.
This data is collected from customer reviews for all Predictive Maintenance Software companies. The most positive word describing Predictive Maintenance Software is “Easy to use” that is used in 21% of the reviews. The most negative one is “Difficult” with which is used in 3.00% of all the Predictive Maintenance Software reviews.
According to customer reviews, most common company size for predictive maintenance software customers is 51-1,000 employees. Customers with 51-1,000 employees make up 52% of predictive maintenance software customers. For an average Industrials solution, customers with 51-1,000 employees make up 22% of total customers.
These scores are the average scores collected from customer reviews for all Predictive Maintenance Software. Predictive Maintenance Software is most positively evaluated in terms of "Customer Service" but falls behind in "Likelihood to Recommend".
This category was searched on average for 649 times per month on search engines in 2022. This number has decreased to 590 in 2023. If we compare with other industrials solutions, a typical solution was searched 1.4k times in 2022 and this decreased to 1.3k in 2023.