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The differences between predictive maintenance technicians and industrial maintenance technicians can be seen in a few details. Each job has different responsibilities and duties. It typically takes 2-4 years to become both a predictive maintenance technician and an industrial maintenance technician. Additionally, a predictive maintenance technician has an average salary of $58,114, which is higher than the $50,649 average annual salary of an industrial maintenance technician.
The top three skills for a predictive maintenance technician include vibration analysis, CMMS and PDM. The most important skills for an industrial maintenance technician are industrial maintenance, hand tools, and PLC.
Predictive maintenance technicians and industrial maintenance technicians have different pay scales, as shown below.
| Predictive Maintenance Technician | Industrial Maintenance Technician | |
| Average salary | $58,114 | $50,649 |
| Salary range | Between $41,000 And $80,000 | Between $38,000 And $66,000 |
| Highest paying City | - | Richmond, CA |
| Highest paying state | - | Alaska |
| Best paying company | - | Boehringer Ingelheim |
| Best paying industry | - | Manufacturing |
There are a few differences between a predictive maintenance technician and an industrial maintenance technician in terms of educational background:
| Predictive Maintenance Technician | Industrial Maintenance Technician | |
| Most common degree | Associate Degree, 44% | Associate Degree, 42% |
| Most common major | Business | Industrial Technology |
| Most common college | - | - |
Here are the differences between predictive maintenance technicians' and industrial maintenance technicians' demographics:
| Predictive Maintenance Technician | Industrial Maintenance Technician | |
| Average age | 47 | 47 |
| Gender ratio | Male, 98.5% Female, 1.5% | Male, 96.5% Female, 3.5% |
| Race ratio | Black or African American, 12.1% Unknown, 4.3% Hispanic or Latino, 16.6% Asian, 4.5% White, 61.3% American Indian and Alaska Native, 1.2% | Black or African American, 11.7% Unknown, 4.3% Hispanic or Latino, 14.6% Asian, 4.7% White, 63.6% American Indian and Alaska Native, 1.2% |
| LGBT Percentage | 2% | 2% |