Predictive Maintenance Software
Predictive maintenance software helps companies perform maintenance and identify problems that could affect their fixed assets before they occur. +Show More
| Products | Position | Customer satisfaction | |||
|---|---|---|---|---|---|
UpKeep |
Leader
|
Satisfactory
|
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UpKeep is a modern, intuitive, and mobile first CMMS that is proven to streamline the work order process.
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfaction
Average rating
Market presence
Company's number of employees
100-200 employees
Company's social media followers
20k-30k followers
Total funding
$10-50m
# of funding rounds
4
Latest funding date
May 12, 2020
Last funding amount
$10-50m
Company
Type of company
private
Founding year
2014
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Limble CMMS |
Leader
|
Satisfactory
|
|
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Limble is an easy to use mobile CMMS software designed by technicians for technicians
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfaction
Average rating
Market presence
Number of case studies
1-5 case studies
Company's number of employees
200-300 employees
Company's social media followers
10k-20k followers
Total funding
$50-100m
# of funding rounds
3
Latest funding date
June 24, 2024
Last funding amount
$10-50m
Company
Type of company
private
Founding year
2015
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eMaint CMMS |
Leader
|
Satisfactory
|
|
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eMaint's CMMS system grows with your business size and needs.
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfaction
Average rating
Market presence
Number of case studies
50-100 case studies
Company's number of employees
50-100 employees
Company's social media followers
10k-20k followers
Company
Type of company
private
Founding year
1986
|
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LightApp |
Challenger
|
Satisfactory
|
|
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Some say we're in a new Industrial Revolution. We just think it's a good time to get ahead.
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfaction
Average rating
Market presence
Company's number of employees
30-40 employees
Company's social media followers
3k-4k followers
Company
Type of company
private
Founding year
2011
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Oracle IoT Service Monitoring for Connected Assets Cloud |
Challenger
|
N/A
|
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Oracle Service Monitoring for Connected Assets Cloud Service allows for this increased visibility, self-help capabilities, automatic engagement as well as preventative and predictive maintenance.
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfaction
Average rating
Market presence
Company's number of employees
100k-1m employees
Company's social media followers
9m-10m followers
|
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Symphony |
Niche Player
|
Satisfactory
|
|
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We have a plug and play industry 4.0 solution utilising both a physical component to wirelessly monitor vibrations from any machine with moving components and send the data to the cloud. In the cloud we analyse the data to diagnose the status of the machines health and remaining useful life (RUL). We then put all this information into an easy to use portable iPad application to be used on the facility floor with a companion TV app displaying the overall status for the team.
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfaction
Average rating
Market presence
Company's number of employees
1-5 employees
Company's social media followers
50-100 followers
Total funding
$1-5m
# of funding rounds
7
Latest funding date
July 12, 2021
Last funding amount
$1-5m
Company
Type of company
private
Founding year
2019
|
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Fayrix |
Niche Player
|
N/A
|
|
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Fayrix provides world-class custom & offshore software development. Relying on 12 years of experience and a talented team of 1500+ developers, we are ready to execute software development projects of any scale.
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfaction
Average rating
|
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NEXGEN Asset Management |
Niche Player
|
Low
|
|
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NEXGEN Asset Management software combines CMMS system with advanced asset management planning tools to analyze risk & streamline maintenance.
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfaction
Average rating
Market presence
Number of case studies
5-10 case studies
Company's number of employees
30-40 employees
Company's social media followers
400-1k followers
Company
Type of company
private
Founding year
2006
|
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Senseye PdM |
Niche Player
|
N/A
|
|
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Senseye PdM is the only leading cloud-based Predictive Maintenance solution to achieve true Industry 4.0 best practices trusted by Fortune 500 industrial companies worldwide. You can achieve a typical ROI of less than 3 months. Senseye PdM is your operations tool for reducing unplanned machine downtime and increasing Overall Equipment Effectiveness (OEE).
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfaction
Average rating
Market presence
Number of case studies
5-10 case studies
Company's number of employees
10-20 employees
Company's social media followers
5k-10k followers
Total funding
$10-50m
# of funding rounds
7
Latest funding date
October 8, 2020
Last funding amount
$1-5m
Company
Type of company
private
Founding year
2014
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Edge Analytics |
Niche Player
|
N/A
|
|
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Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfaction
Average rating
Market presence
Company's number of employees
20-30 employees
Company's social media followers
2k-3k followers
Total funding
$1-5m
# of funding rounds
2
Latest funding date
April 17, 2019
Last funding amount
$1-5m
Company
Type of company
private
Founding year
2017
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“-”: AIMultiple team has not yet verified that vendor provides the specified feature. AIMultiple team focuses on feature verification for top 10 vendors.
Sources
AIMultiple uses these data sources for ranking solutions and awarding badges in predictive maintenance software:
Predictive Maintenance Leaders
According to the weighted combination of 4 metrics
What are predictive maintenance
customer satisfaction leaders?
Taking into account the latest metrics outlined below, these are the current predictive maintenance customer satisfaction leaders:
Which predictive maintenance solution provides the most customer satisfaction?
AIMultiple uses product and service reviews from multiple review platforms in determining customer satisfaction.
While deciding a product's level of customer satisfaction, AIMultiple takes into account its number of reviews, how reviewers rate it and the recency of reviews.
- Number of reviews is important because it is easier to get a small number of high ratings than a high number of them.
- Recency is important as products are always evolving.
- Reviews older than 5 years are not taken into consideration
- older than 12 months have reduced impact in average ratings in line with their date of publishing.
What are predictive maintenance
market leaders?
Taking into account the latest metrics outlined below, these are the current predictive maintenance market leaders:
Which one has collected the most reviews?
AIMultiple uses multiple datapoints in identifying market leaders:
- Product line revenue (when available)
- Number of reviews
- Number of case studies
- Number and experience of employees
- Social media presence and engagement
What are the most mature predictive maintenance software?
Which one has the most employees?
Which predictive maintenance companies have the most employees?
56 employees work for a typical company in this solution category which is 33 more 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. 23 companies with >10 employees are offering predictive maintenance software. Top 3 products are developed by companies with a total of 300k employees. The largest company in this domain is DataScience with more than 100,000 employees. DataScience provides the predictive maintenance solution: Oracle IoT Service Monitoring for Connected Assets Cloud
Insights
What are the most common words describing predictive maintenance software?
This data is collected from customer reviews for all predictive maintenance companies. The most positive word describing predictive maintenance software is “Easy to use” that is used in 18% of the reviews. The most negative one is “Difficult” with which is used in 3% of all the predictive maintenance reviews.
What is the average customer size?
According to customer reviews, most common company size for predictive maintenance customers is 51-1,000 employees. Customers with 51-1,000 employees make up 52% of predictive maintenance customers. For an average Industrials solution, customers with 51-1,000 employees make up 22% of total customers.
Customer Evaluation
These scores are the average scores collected from customer reviews for all predictive maintenance software. Predictive Maintenance Software are most positively evaluated in terms of "Customer Service" but falls behind in "Likelihood to Recommend".
Where are predictive maintenance vendors' HQs located?
Trends
What is the level of interest in predictive maintenance software?
This category was searched on average for 806 times per month on search engines in 2024. This number has decreased to 0 in 2025. If we compare with other industrials solutions, a typical solution was searched 1.8k times in 2024 and this decreased to 0 in 2025.