The Evaluation of Nanosatellite Missions: Statistical Analysis of Missions for Payloads

Abdizhalilova L. Temirbayev A.A. Li P. Uzbekov N. Orynbassar S. Beisen A. Geroyeva Z. Tokmyrzaev D. Meirambekuly N.
2025 Institute of Electrical and Electronics Engineers Inc.

IEEE Access
2025 #13 160536 - 160548 pp.

CubeSats have become a dominant platform for conducting cost-effective space missions in recent years. This study presents a comprehensive statistical analysis of 2806 CubeSat-class missions launched between 1998 and 2024. The missions are classified into five primary categories – communication, Earth observation, science, education, and technology demonstration-based on their payload functions. Each satellite was further evaluated by form factor and operational status to determine mission success rates. The results show that Earth observation accounts for 39% of all CubeSat missions, with the 3U form factor being the most commonly used and most successful in this domain. Educational missions are significantly underrepresented in launch frequency. Scientific missions, though more frequent, remain below Earth observation and communication in terms of mission volume. A matrix linking mission types, payload categories, form factors, and success outcomes is presented to guide future CubeSat design strategies. A detailed case study of Automatic Dependent Surveillance – Broadcast (ADS-B) payloads was conducted, revealing a 96.9% success rate across over 90 missions. Most of these satellites maintained operations for more than 1000 days, highlighting the reliability and efficiency of ADS-B as a cross-functional payload applicable to communication, Earth observation, and technology demonstration. The findings in this paper provide actionable insights for satellite developers, researchers, and mission planners. By correlating payload types with form factor performance and mission outcomes, this work offers a data-driven framework for optimizing CubeSat mission design and payload integration.

CubeSat , nanosatellite , payload , satellite missions , statistical analysis

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Al-Farabi Kazakh National University, Center of Space Technologies, Almaty, 050040, Kazakhstan
Al-Farabi Kazakh National University, Cluster of Engineering and High Technologies, Almaty, 050040, Kazakhstan
Northwestern Polytechnical University, School of Astronautics, Xi’an, 710072, China
Khoja Akhmet Yassawi International Kazakh-Turkish University, Ecology Research Institute, Turkistan, 161200, Kazakhstan

Al-Farabi Kazakh National University
Al-Farabi Kazakh National University
Northwestern Polytechnical University
Khoja Akhmet Yassawi International Kazakh-Turkish University

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