Predictive Maintenance & Industrial Analytics
Platforms that forecast equipment failures and optimize maintenance for manufacturing operations.
- predictive maintenance
- industrial iot
- asset reliability
- production analytics
- maintenance optimization
- industrial software
- 7
- Total launches
- 4
- Last 30 days launches
- +57%
- 30D launch share
- January 30, 2026
- Category created
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Each bar shows companies first seen in that calendar month over the last 12 months.
Companies in this category
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voyagersha.com United States
Voyagersha is a SaaS business that builds predictive maintenance and asset reliability software.
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assetlys.com
Assetlys is a technology, information and media business that offers an Industrial Reliability Operating System with Prescriptive AI and ASO Module.
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rishidts.ai United States
Rishi is a technology company that provides an AI-powered industrial decision intelligence platform for predictive troubleshooting and operational optimization.
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cemendus-ai.com Netherlands
Cemendus.ai is an AI-driven industrial solution that enables energy efficiency, maintenance optimization, digital twin modeling, and real-time data analytics.
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optimecore.com United States
Optime Core is a SaaS business that provides a platform for optimizing manufacturing operations.
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tecs.dev.br Brazil
TECS is a technology company that provides AI and engineering solutions for predictive maintenance and data-driven decision making.
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planificator.bg Bulgaria
Planificator is a SaaS business that provides an AI-powered production scheduling platform for manufacturers.
Related categories
Frequently Asked Questions
01
What are Predictive Maintenance & Industrial Analytics platforms?
These platforms apply AI and data analytics to industrial sensor data to forecast equipment failures and optimize maintenance planning for manufacturing operations. The sample highlights predictive maintenance, asset reliability and industrial analytics as core themes, pointing to tools that convert sensor signals into actionable maintenance insights.
02
Why are new Predictive Maintenance & Industrial Analytics platforms launching now?
Launches are driven by the availability of IoT data and AI tooling that transform noisy maintenance data into actionable predictions. The Emergence Index has tracked multiple launches in this category, with recurring emphasis on predictive maintenance and real time production insights which reduce unplanned downtime.
03
Who typically buys Predictive Maintenance & Industrial Analytics software?
Buyers are usually plant managers, maintenance leads and operations teams seeking higher asset reliability and reduced downtime. Smaller teams may prioritize visibility into failures, while larger manufacturers demand integrated workflows, alarms, dashboards and compliance around maintenance activities.
04
How are Predictive Maintenance & Industrial Analytics different from generic data analytics?
Predictive maintenance solutions focus on equipment health and maintenance scheduling rather than generic process optimization. They differ from broad analytics by targeting asset reliability, downtime reduction and actionable maintenance actions derived from asset data and IoT signals.
05
What launch signals suggest Predictive Maintenance & Industrial Analytics are gaining momentum?
Signals include the presence of multiple launches emphasizing predictive maintenance, asset reliability and industrial IoT. Analysts should watch for deeper integration with factory systems, real time dashboards and prescriptive maintenance actions as more entrants target operational efficiency in manufacturing.