Leveraging Predictive Maintenance through AI and IoT in the Indian Aviation Industry: A Study on Operational Efficiency and Safety

This research looks into how using AI and IoT can help improve maintenance in the Indian aviation industry. When it comes to aviation, due to the importance of safety and performance, maintenance typically causes a lot of time-consuming and costly interruptions. Using artificial intelligence and IoT, this research looks at how airlines and maintenance teams in India can switch from being reactive to being proactive in their maintenance activities. Thanks to these advancements, planes are regularly inspected, planned and maintained to help lower the costs and keep them available when needed. The study was based on analyzing written studies, the current practices in aviation in India, and examples of how it has been successfully used elsewhere. Cost-efficiency, safety, and reliability have all grown, yet facing barriers such as lacking updated infrastructure, issues with data privacy, and a lack of trained staff. Prepared advice to overcome these hurdles and move forward with digital transformation of aircraft maintenance in India. This paper adds to the literature on Industry 4.0 in aviation and highlights key recommendations for policy, stakeholders, and technology vendors looking to boost the competitiveness of the sector in India.