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NAICS Code 238990-31 - Predictive Maintenance Service
Marketing Level - NAICS 8-DigitBusiness Lists and Databases Available for Marketing and Research
Business List Pricing Tiers
Quantity of Records | Price Per Record | Estimated Total (Max in Tier) |
---|---|---|
0 - 1,000 | $0.25 | Up to $250 |
1,001 - 2,500 | $0.20 | Up to $500 |
2,501 - 10,000 | $0.15 | Up to $1,500 |
10,001 - 25,000 | $0.12 | Up to $3,000 |
25,001 - 50,000 | $0.09 | Up to $4,500 |
50,000+ | Contact Us for a Custom Quote |
What's Included in Every Standard Data Package
- Company Name
- Contact Name (where available)
- Job Title (where available)
- Full Business & Mailing Address
- Business Phone Number
- Industry Codes (Primary and Secondary SIC & NAICS Codes)
- Sales Volume
- Employee Count
- Website (where available)
- Years in Business
- Location Type (HQ, Branch, Subsidiary)
- Modeled Credit Rating
- Public / Private Status
- Latitude / Longitude
- ...and more (Inquire)
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NAICS Code 238990-31 Description (8-Digit)
Parent Code - Official US Census
Tools
Tools commonly used in the Predictive Maintenance Service industry for day-to-day tasks and operations.
- Vibration analysis equipment
- Infrared thermography cameras
- Ultrasonic testing equipment
- Oil analysis equipment
- Motor current analysis equipment
- Laser alignment tools
- Acoustic emission testing equipment
- Visual inspection tools
- Temperature sensors
- Pressure sensors
Industry Examples of Predictive Maintenance Service
Common products and services typical of NAICS Code 238990-31, illustrating the main business activities and contributions to the market.
- Manufacturing equipment maintenance
- HVAC system maintenance
- Power plant maintenance
- Oil and gas equipment maintenance
- Mining equipment maintenance
- Transportation equipment maintenance
- Medical equipment maintenance
- Food processing equipment maintenance
- Water treatment equipment maintenance
- Building automation system maintenance
History
A concise historical narrative of NAICS Code 238990-31 covering global milestones and recent developments within the United States.
- The Predictive Maintenance Service industry has its roots in the early 1990s when the concept of predictive maintenance was first introduced. The industry has since grown to become a critical component of the maintenance and repair sector, with the development of advanced technologies such as machine learning, artificial intelligence, and the Internet of Things (IoT). In recent years, the industry has seen significant growth due to the increasing demand for predictive maintenance solutions across various sectors, including manufacturing, healthcare, and transportation. For instance, in 2019, General Electric launched a predictive maintenance solution for the aviation industry, which uses machine learning algorithms to predict engine failures before they occur. In the United States, the Predictive Maintenance Service industry has experienced steady growth over the past decade, driven by the increasing adoption of predictive maintenance solutions by various industries. The industry has also benefited from the growing demand for real-time monitoring and predictive analytics solutions, which help companies optimize their maintenance schedules and reduce downtime. For example, in 2018, IBM launched a predictive maintenance solution for the manufacturing industry, which uses IoT sensors and machine learning algorithms to predict equipment failures and optimize maintenance schedules. Overall, the Predictive Maintenance Service industry is expected to continue growing in the coming years, driven by the increasing adoption of advanced technologies and the growing demand for predictive maintenance solutions across various industries.