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DataLive
Tokyo, Japan
A
- Employees
2003
Key takeaway
The company, Data Live, specializes in extending the maintenance period of IT hardware through third-party support, particularly after the End of Service Life (EOSL). Their EOSL extension maintenance service helps optimize IT costs and ensures the long-term operation of IT systems across various industries, supporting over 95,000 devices for 2,000 companies nationwide.
Reference
Core business
第三者保守のデータライブ｜EOSL延長保守の専門企業
IT基盤の長期利用を支える日本の第三者保守プロバイダ。全国2000社95,000台の実績。メーカー保守期限後もサーバ、ネットワーク機器の障害に備えるEOSL延長保守サービスを提供。
INTERPOLATION
Tokyo, Japan
A
1-10 Employees
2015
Key takeaway
Interpolation specializes in providing Internet of Things solutions that enhance operational efficiency and data analysis for businesses, particularly in the manufacturing sector. Their expertise in industrial IoT technology and data management can significantly support predictive maintenance efforts by enabling effective monitoring and analysis of equipment performance.
Reference
Core business
Interpolation
Industrial IoT solution provider. Data Aggregation and Optimization Solution Provider.
eftax Co. Ltd.
Amagasaki, Japan
A
11-50 Employees
2013
Key takeaway
The company specializes in planning and developing IoT systems, which can be integral to predictive maintenance strategies. Their comprehensive support includes sensor selection and cloud construction, essential for effective data analysis and operational efficiency.
Reference
Service
IoT / AI Installation Support Services | Services | 株式会社eftax | データ分析でビジネスを加速、非効率な作業をスマートに
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ONTROX
Osaka, Japan
A
1-10 Employees
2010
Key takeaway
ONTROX co., Ltd. specializes in big data analysis, which is essential for implementing predictive maintenance strategies. Their expertise in data analytics can help organizations anticipate equipment failures and optimize maintenance schedules.
Reference
Product
MFA™ – Big Data Analysis | ONTROX co.,Ltd.
tei Solutions Inc
Tsukuba, Japan
A
1-10 Employees
2010
Key takeaway
Analytical Services tei Solutions provides a range of analytical characterization services that could be instrumental in predictive maintenance by enhancing failure analysis through advanced microscopy and spectroscopy techniques.
Reference
Service
Consulting Service - tei soltions
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In the Predictive Maintenance industry in Japan, several key considerations are essential for thorough research. The regulatory environment plays a significant role, with strict compliance to safety and environmental standards, influenced by both local and international regulations. Companies must also navigate challenges such as the integration of advanced technologies, including IoT and AI, which are vital for effective predictive analytics. The aging infrastructure in Japan presents both opportunities and challenges; modernization efforts can drive demand for predictive maintenance solutions, particularly in sectors like manufacturing and transportation. Environmental concerns are increasingly relevant, as Japan prioritizes sustainability, leading to a focus on technologies that minimize waste and energy consumption. Additionally, the competitive landscape is marked by a mix of established firms and innovative startups, making it crucial to assess the technological capabilities and service offerings of potential partners or competitors. Understanding global market relevance is also important, as Japan's position as a technology leader impacts the adoption of predictive maintenance practices and can influence market trends across Asia and beyond. By considering these factors, individuals can gain valuable insights into the dynamics of the predictive maintenance industry in Japan.
Some interesting numbers and facts about your company results for Predictive Maintenance
| Country with most fitting companies | Japan |
| Amount of fitting manufacturers | 4 |
| Amount of suitable service providers | 5 |
| Average amount of employees | 1-10 |
| Oldest suiting company | 2003 |
| Youngest suiting company | 2015 |
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
Which industries are mostly working on Predictive Maintenance?
The most represented industries which are working in Predictive Maintenance are IT, Software and Services, Other, Semiconductor
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.