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AccuPredict Services Pte Ltd
Singapore
C
11-50 Employees
2021
Key takeaway
AccuPredict's Predictive Maintenance solution has demonstrated significant cost savings and enhanced production efficiency, resulting in a financial benefit of several million dollars. With over three decades of experience, AccuPredict invites you to leverage their expertise for operational excellence.
Reference
Core business
ACCUPREDICT | Machines Run Forever
Vision Elevator
Singapore
C
1-10 Employees
2010
Key takeaway
The company specializes in predictive maintenance for elevators and escalators through its Remote Monitoring and Diagnostics (RM&D) systems, which help reduce breakdowns and enhance availability. Their commitment to high-quality solutions and real-time analytics supports condition-based maintenance practices, ensuring optimal performance and safety.
Reference
Service
Condition Monitoring Solutions – Vision Elevator
POWER TECHNOLOGIES PRIVATE LIMITED
Singapore
C
251-500 Employees
2013
Key takeaway
Power Technologies specializes in IoT monitoring solutions, offering expertise in predictive maintenance through thermal monitoring and other advanced technologies. Their focus on data-driven insights and innovative strategies helps clients enhance operational efficiency and proactively address potential issues.
Reference
Service
Smart Facilitiesmaintenance - IoT Monitoring & Integration Solutions Singapore | Power Technologies
SMART Facilities Maintenance We build, operate and manage bundled IOT solutions.
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DM Group Services
Singapore
C
51-100 Employees
1974
Key takeaway
DM Group Services specializes in underwater inspection, repair, and maintenance services, offering tailored solutions that could be integral for predictive maintenance strategies in marine operations. Their use of cutting-edge technologies and compliance with international best practices ensures reliable and efficient maintenance for various vessels.
Reference
Service
maintenance | DM Group Services
JD Works Pte Ltd
Singapore
C
1-10 Employees
2016
Key takeaway
JD Works PTE LTD focuses on providing quality maintenance services that can help reduce unexpected downtime in the industry, which is essential for effective predictive maintenance. Their offerings include on-site and workshop maintenance, system vibration analysis, and failure analysis, all of which are integral to anticipating and addressing potential equipment failures.
Reference
Product
Motor Maintenance | JD WORKS PTE LTD
Repairs and Spares
Singapore
C
1-10 Employees
2006
Key takeaway
The company emphasizes its extensive knowledge and experience in providing solutions for various equipment, which could be beneficial for predictive maintenance needs. They position themselves as a reliable partner for after-sales and repair services, indicating their capability to support mission-critical systems.
Reference
Service
Technical Partner – Repairs And Spares
IX Technology Pte Ltd
Singapore
C
51-100 Employees
2004
Key takeaway
The company emphasizes its expertise in predictive maintenance for mission-critical facilities like data centers, highlighting a proactive approach with the mantra "We Predict even before We Prevent." This forward-thinking strategy ensures optimal uptime and sustainable business continuity for clients.
Reference
Core business
IX Technology – Critical M&E Infrastructure Solution for Data Centre
A-Speed Infotech Pte Ltd
Singapore
C
11-50 Employees
2003
Key takeaway
A-Speed Infotech Pte. Ltd. emphasizes its role as a proactive provider of ICT and Industrial Integration solutions, focusing on using the latest technology to enhance productivity and deliver value to businesses. Their expertise in Data Centre Infrastructure Management (DCIM) and tailored engineering solutions suggests a strong foundation for implementing effective predictive maintenance strategies.
Reference
Service
Critical Response & Maintenance - A-Speed Infotech Pte. Ltd.
CM Werkz
Singapore
C
1-10 Employees
2010
Key takeaway
CM Werkz specializes in Condition Monitoring (CM) services and products for the electrical industry, offering solutions that help extend the lifespan of electrical plants and equipment. Their range of products includes advanced monitoring instruments that provide insights into the condition and deterioration of assets.
Reference
Core business
CM Werkz – Condition Monitoring Works
Ecoxplore Pte Ltd
Singapore
C
11-50 Employees
2011
Key takeaway
EcoXplore specializes in predictive maintenance by providing continuous monitoring for critical electrical equipment, allowing for the early detection of potential failures. Their focus on analytical solutions and energy monitoring further supports their commitment to proactive maintenance strategies.
Reference
Product
PMC_592 - Energy Monitoring & Smart IoT Solutions
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When exploring the predictive maintenance industry in Singapore, several key factors warrant attention. The country is known for its strong regulatory framework, which emphasizes safety and efficiency in industrial operations. Understanding compliance with local regulations is crucial, as non-compliance can lead to significant penalties. Additionally, the competitive landscape is robust, with both local startups and established multinational companies vying for market share. This creates a dynamic environment, but also presents challenges such as the need for continuous innovation and differentiation. Opportunities abound in sectors like manufacturing, transportation, and utilities, driven by Singapore's push towards digital transformation and smart technologies. Companies that can leverage IoT and big data analytics will find a receptive market. However, environmental considerations are increasingly important, as industries face pressure to adopt sustainable practices. This trend aligns with Singapore's green initiatives and commitment to reducing carbon emissions. Furthermore, tapping into the global market relevance of predictive maintenance can provide insights into best practices and technological advancements. This sector is projected to grow significantly, driven by the need for operational efficiency and cost reduction. Potential investors and stakeholders should closely monitor industry trends, emerging technologies, and partnerships that can enhance competitive advantage in this evolving field.
Some interesting numbers and facts about your company results for Predictive Maintenance
Country with most fitting companies | Singapore |
Amount of fitting manufacturers | 52 |
Amount of suitable service providers | 59 |
Average amount of employees | 11-50 |
Oldest suiting company | 1974 |
Youngest suiting company | 2021 |
Some interesting questions that has been asked about the results you have just received for Predictive Maintenance
What are related technologies to Predictive Maintenance?
Based on our calculations related technologies to Predictive Maintenance are Big Data, E-Health, Retail Tech, Artificial Intelligence & Machine Learning, E-Commerce
Who are Start-Ups in the field of Predictive Maintenance?
Start-Ups who are working in Predictive Maintenance are AccuPredict Services Pte Ltd
Which industries are mostly working on Predictive Maintenance?
The most represented industries which are working in Predictive Maintenance are IT, Software and Services, Oil, Energy and Gas, Automation, Other, Manufacturing
How does ensun find these Predictive Maintenance Companies?
ensun uses an advanced search and ranking system capable of sifting through millions of companies and hundreds of millions of products and services to identify suitable matches. This is achieved by leveraging cutting-edge technologies, including Artificial Intelligence.