Data Analytics in the Management of Unmanned Aerial Vehicles: A Comparative Study and Implications for the Indian Air Force
Rajyaguru Prayagraj
, Om Prakash Sharma , Hiren Bhatt
UAV, Data Analytics, Indian Air Force (IAF), Fleet Management, Predictive Maintenance, Mission Planning, ISR (Intelligence, Surveillance, Reconnaissance)
The increasing sophistication and operational tempo of Unmanned Aerial Vehicles (UAVs) in modern military forces necessitate advanced management strategies. This paper explores the application of data analytics to enhance the management and operational efficiency of UAVs within the Indian Air Force (IAF). It addresses the problem of optimizing UAV lifecycle management, from maintenance to mission execution, through data-driven insights. The research objectives are to identify key data analytics applications for UAV management, conduct a comparative analysis of UAV adoption and data analytics integration in the air forces of the USA, Russia, and China, and explore the implications and potential benefits for the IAF. Based on a qualitative analysis of provided documents detailing UAV programs and data analytics potential, the paper identifies crucial applications including predictive maintenance, mission planning optimization, enhanced situational awareness through sensor data analysis, performance evaluation, and improved training simulations. Key findings highlight the varying levels of maturity and focus in data analytics adoption among the compared nations (US maturity, Russian focus on autonomy, Chinese emphasis on networked intelligence) and underscore the IAF's opportunity to leverage these insights. The paper concludes that strategic implementation of data analytics presents a significant opportunity for the IAF to enhance the efficiency, effectiveness, and overall management of its UAV fleet, contributing to improved operational capabilities.
"Data Analytics in the Management of Unmanned Aerial Vehicles: A Comparative Study and Implications for the Indian Air Force ", TIJER - TIJER - INTERNATIONAL RESEARCH JOURNAL (www.TIJER.org), ISSN:2349-9249, Vol.12, Issue 4, page no.a185-a188, April-2025, Available :https://tijer.org/TIJER/papers/TIJER2504030.pdf
Volume 12
Issue 4,
April-2025
Pages : a185-a188
Paper Reg. ID: TIJER_157341
Published Paper Id: TIJER2504030
Downloads: 000274
Research Area: Science and Technology
Country: Rajkot, Gujarat, India
ISSN: 2349-9249 | IMPACT FACTOR: 8.57 Calculated By Google Scholar | ESTD YEAR: 2014
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.57 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: TIJER (IJ Publication) Janvi Wave
