The Role Of Artificial Intelligence In Enhancing Maritime Supply Chain Efficiency

Abstract

The maritime industry, responsible for transporting approximately 90% of global trade, faces increasing pressure to improve operational efficiency while reducing environmental impact. This study examines the transformative role of Artificial Intelligence in enhancing maritime supply chain efficiency through systematic analysis of current implementations and outcomes. The research investigates AI applications in autonomous navigation, predictive maintenance, route optimization, and port operations management. Using secondary data analysis and case study methodology, this study examines 267 AI-equipped vessels and multiple port facilities globally. The hypothesis that AI implementation significantly improves maritime supply chain efficiency was supported, with findings demonstrating fuel consumption reductions of 5-15%, maintenance cost savings of 15-35%, and operational efficiency improvements of 25-30%. Key results indicate that the global maritime AI market, valued at USD 4,321.1 million in 2024, is projected to grow at a CAGR of 40.6% through 2030. AI-powered predictive maintenance reduces vessel downtime by 35%, while autonomous navigation systems decrease human error-related incidents by 75-96%. The study concludes that AI integration represents a fundamental paradigm shift in maritime operations, offering substantial benefits in cost reduction, safety enhancement, and environmental sustainability, though implementation challenges including data quality, regulatory frameworks, and initial investment costs must be addressed.