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For electrical manufacturing companies, ensuring the health and longevity of their cable infrastructure is paramount. Aging cables pose a significant risk, leading to costly downtime, safety hazards, and reputational damage. Traditional inspection methods are often tedious, time-consuming, and prone to human error. However, a new era is dawning, powered by Artificial Intelligence (AI) and its game-changing approach to cable health indexing and prescriptive maintenance.

Imagine a world where:

  • Cables share their health ratings, revealing hidden degradation before it manifests as a critical failure.
  • AI algorithms become your vigilant solutions, predicting potential issues and recommending targeted maintenance actions.
  • Downtime becomes a relic of the past, replaced by proactive interventions that maximise cable lifespan and optimise operational efficiency.

This is the future that OrxaGrid’s AI-powered cable health indexing is ushering in.


Market Landscape: A Fertile Ground for Growth

The global cable health monitoring market is projected to reach USD 8.2 billion by 2027, experiencing a CAGR of 15.3% from 2022 to 2027. This exponential growth is driven by several factors:

  • Rising infrastructure complexity: Increasing automation and electrification are leading to ever-more complex cable networks, demanding sophisticated monitoring solutions.
  • Growing focus on preventive maintenance: Businesses are realising the cost-effectiveness of preventing failures rather than fixing them reactively.
  • Advancements in AI technology: Powerful AI algorithms are making data-driven insights and predictive analytics readily available.

Market Share: A Battleground for Innovation

The competitive landscape for AI-powered cable health solutions is dynamic, with established players like ABB, Siemens, and GE vying for market share alongside innovative startups. OrxaGrid provides its unique AI/ML solution to achieve competitive outcomes by building a model using static cable data and dynamic data from available systems. This includes:

  • Process data from multiple sources
  • Create cable classifications and calculate standard age
  • Map cable sections onto secondary substations and feeders
  • Analyse cable fault test data
  • Structurise fault history data
  • Analyse relationship between operating voltage and line rating to obtain maximum utilisation of connected secondary substation
  • Determine impact of voltage sag/swell on insulation condition
  • Develop risk score model using Ofgem’s CNAIM or ML models
  • Validate technical approach with the customer
  • Suggest suitable sensors based on cost-benefit analysis and high-risk cables

OrxaGrid delivers highly accurate and secure analytics solutions that empower clients with strategic insights and tangible efficiency improvements through:

  • Data Collection & Processing
  • Data Mapping
  • Data Integration
  • Model Building
  • Insights Identification
  • Software Development

The Benefits of OrxaGrid’s Cable Health AI

Cable health AI benefits diagram

OrxaGrid’s AI-powered cable health indexing offers a range of benefits:

  • Enhanced Predictive Maintenance: AI algorithms analyse historical data, environmental factors, and real-time sensor readings to predict potential cable failures with high accuracy, enabling targeted maintenance and preventing downtime.

  • Reduced Operational Costs: Proactive maintenance significantly reduces the cost of reactive repairs and emergency replacements, while optimised resource allocation improves operational efficiency.

  • Improved Safety and Reliability: Early detection of cable degradation minimises safety hazards and ensures reliable power delivery, enhancing brand reputation and customer satisfaction.

  • Data-Driven Decision Making: AI provides actionable insights based on real-time data, enabling informed decisions for infrastructure investments and maintenance strategies.

  • Extended Cable Lifespan: Identifying and addressing potential issues early helps extend cable lifespan, maximising return on investment.

  • Sustainability: Proactive maintenance reduces waste from unnecessary replacements, contributing to a more sustainable future.


A Look Ahead: Embracing the Future

For electrical manufacturing companies, embracing AI-powered cable health indexing is not just an option — it’s a strategic imperative. Senior management must invest in solutions that can:

  • Integrate seamlessly with existing infrastructure and data formats
  • Offer user-friendly interfaces and actionable insights across all levels
  • Provide scalability and customisation for growing needs
  • Partner with reliable AI providers with proven expertise and commitment to ongoing innovation

By embracing OrxaGrid’s AI, electrical manufacturing companies can unlock a future of efficiency, safety, sustainability, and growth.


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OrxaGrid is an IoT and data analytics company on a mission to enable a reliable, affordable and sustainable energy future for all.