In the latest research publication by IMARC Group, it was revealed that the global power cables market size had reached a staggering USD 186.5 Billion in 2025. The group further projects that the market will expand to USD 289.9 Billion by 2034, demonstrating a compound annual growth rate (CAGR) of 4.98% during the period of 2026-2034.
Artificial Intelligence (AI) is playing a pivotal role in reshaping the future of the power cables market. One of the key areas where AI is making a significant impact is in predictive maintenance and equipment optimization. AI algorithms are being used to analyze sensor data from manufacturing equipment, enabling the prediction of maintenance needs before any failures occur. This application of machine learning has been shown to reduce downtime by 30-40%, preventing unexpected breakdowns in cable production lines and optimizing the lifespan and operational efficiency of machinery.
AI is also revolutionizing defect detection and quality control in the power cables industry. Computer vision systems, powered by AI, are being used to inspect cable surfaces during production. These systems can identify defects such as insulation damage, conductor irregularities, and surface cracks with exceptional accuracy. The speed at which these automated systems process images far surpasses manual inspection capabilities, ensuring that only the highest quality cables reach the market.
In the realm of material selection and design innovation, AI is proving invaluable. By analyzing vast datasets, AI can recommend optimal material compositions for enhanced cable performance. Algorithms can suggest heat-resistant configurations, flexible structures for specialized applications, and improved insulation thickness. This results in cables that can withstand extreme environmental and electrical stresses across a variety of industries.
AI is also optimizing the production process. Machine learning monitors real-time manufacturing parameters such as temperature, extrusion speed, and cooling rates to maintain consistent quality. AI-driven systems can automatically adjust production variables, reducing material waste by identifying process inefficiencies and minimizing scrap rates throughout manufacturing operations.
Furthermore, AI-powered analytics are improving supply chain efficiency and demand forecasting. By analyzing historical orders, infrastructure projects, and renewable energy installations, these smart forecasting systems can predict demand patterns. This helps manufacturers align production capacity with market needs, reducing inventory carrying costs while ensuring timely delivery to utilities and contractors.
The power cables industry is currently undergoing an unprecedented transformation, driven by global electrification and infrastructure modernization initiatives. Grid expansion programs in developing economies are creating massive demand. For instance, the U.S. Infrastructure Investment and Jobs Act has allocated USD 65 billion for power grid improvements. Similarly, India’s RDSS scheme has committed over USD 34 billion through 2026 to strengthen electrical networks. Major manufacturers are also investing heavily in this sector. Prysmian has invested USD 2 billion through 2027 to double submarine cable production capacity, while Nexans has committed USD 1.2 billion from 2025-2028 for grid infrastructure. The sector is also benefiting from renewable energy integration requirements, with offshore wind playing a significant role.
