The space industry is set to experience a surge in satellite launches over the next five years. To prepare for this forecasted growth, Clint Crosier, aerospace and satellite director at Amazon Web Services, emphasizes the importance of addressing challenges pertaining to satellite data volume, bandwidth, and latency.

Crosier suggests that the adoption of cloud-based artificial intelligence, machine learning, and next-generation data analytics can effectively resolve these three major space data problems. This approach enables space companies to overcome limitations and leverage the increasing capabilities of satellite data.

According to the Satellite Industry Association, the number of satellites in space surpassed 7,000 in 2022. This number is expected to increase fivefold in the coming years, with enhanced data capabilities compared to previous versions. Procuring cloud services instead of investing in a global data infrastructure is a recommended strategy for space companies. Cloud services not only come at a lower cost but also offer support for information collection, analytics, and distribution on a wide scale. This allows organizations to allocate their resources more effectively and focus on mission performance.

Clint Crosier emphasizes that the contribution of cloud technology to the future of the space industry will be fundamental and pervasive. He compares the role of cloud technology in the digital revolution to that of mechanized machinery in the industrial revolution. Cloud technology is vital for space organizations and companies to maintain competitiveness in the long run.

By addressing the challenges associated with satellite data volume, bandwidth, and latency, and embracing cloud-based solutions, the space industry can harness the full potential of satellite technology and ensure continued advancement in this field.