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The satellite data services industry has witnessed significant technological advancements. Satellites now have more sophisticated sensors and imaging capabilities, allowing them to take better, more detailed photos of the Earth's surface. This high-resolution data unlocks previously unavailable insights. Satellites can now also capture a larger range of data including multispectral and hyperspectral information, owing to advancements in sensor miniaturization and spectral range detection. This enables for a more thorough examination of environmental conditions, resource distribution, and infrastructure health. Artificial Intelligence (AI) and Machine Learning (ML) technologies are changing how satellite data is processed & evaluated. AI and ML algorithms may automate data analytic processes, uncover patterns & trends in massive datasets, and extract useful insights that are difficult or time-consuming to achieve using traditional approaches. In addition to this, large constellations of smaller satellites in the low earth orbit (LEO) provide more coverage, quicker data transmission rates, and better signal reception than typical single satellites.
For instance, in August 2023, BlackSky, a provider of geospatial intelligence, introduced a new initiative offering early access to its high-resolution satellite imagery. This reflects a trend where companies are increasingly offering customized data solutions to meet individual customer requirements. The platform grants users access to imagery from over 10 Earth-observing satellites including Korea's KOMPSAT spacecraft and UrtheCast's Deimos-2. Customers can also request near-real-time images of specific locations through the platform. Such technological advancements are driving the market expansion.