NAICS Code 238990-31 - Predictive Maintenance Service

Marketing Level - NAICS 8-Digit

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Contact Emails: 45
Company Websites: 7
Phone Numbers: 4
Business Addresses: 7
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NAICS CODE 238990-31
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NAICS Code 238990-31 Description (8-Digit)

Predictive Maintenance Service is a specialized trade contractor industry that provides maintenance services to various industries. The industry involves the use of advanced technologies and techniques to predict when equipment or machinery is likely to fail, and then performing maintenance to prevent the failure from occurring. This industry is focused on reducing downtime and increasing the lifespan of equipment and machinery, which can save companies a significant amount of money in the long run. Predictive Maintenance Service providers use a range of tools and techniques to monitor equipment and machinery, analyze data, and identify potential issues before they become major problems.

Parent Code - Official US Census

Official 6‑digit NAICS codes serve as the parent classification used for government registrations and documentation. The marketing-level 8‑digit codes act as child extensions of these official classifications, providing refined segmentation for more precise targeting and detailed niche insights. Related industries are listed under the parent code, offering a broader context of the industry environment. For further details on the official classification for this industry, please visit the U.S. Census Bureau NAICS Code 238990 page

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.