Company: SATLW
Filing Date: 2025-03-26
Form Type: 10-K
Source: 0001628280-25-014951
Chunk: 95

Company: Satellogic Inc.
Filing Date: 2025-03-26
Form: 10-K
Item: Item 1
Chunk 95
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 being provided by airplanes, drones, helicopters, IoT sensor networks, etc. and that these customers are willing to purchase the data we collect at an attractive price point for our solutions. We have used this information from these pilot trials to identify an immediately addressable market which we believe will be approximately $40 billion in size once we reach weekly remaps. 

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Commercial Market Opportunities

Use cases for this immediately addressable market might include: 

•Monitoring hydroelectric plants in high frequency to build predictive models of energy output as well as drainage in the reservoir from the surrounding basin 

•Oil field and pipeline monitoring 

•Precision agriculture 

•Supply chain management (agriculture) 

•Tree counting (forestry) 

•Crop management (agriculture & forestry) 

•Planning for renewable energy projects 

•Precise estimation of commodities output 

•Yield prediction and harvesting (agriculture & forestry) 

•Energy output 

•Mineral output 

•Geospatial risk modeling (e.g., flood, drought, fire, environmental) 

•Real time impact assessment, disaster management and claims estimation (e.g., storm damage, earthquakes, forest fires, oil spills) 

•Real time planetary health 

•Sea level, temperature and acidity 

•Fractures in polar ice caps 

•Global temperature 

•Water distribution 

•Monitoring illegal activities (e.g., deforestation, mining, poaching, smuggling) 

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We believe the key to unlocking this TAM lies in the ability to monitor the planet at both high resolution and high frequency and deliver this data to customers at the right price. Overall, this is how we see the market growing as we increase the frequency of data that once scaled, we expect to deliver at near zero marginal costs. 

We plan to deliver our commercial data through our self-service platform and other third-party platforms via a subscription that reflects the end use of the data (vertical) and intrinsic value (geography, freshness) of the data, bundling analytics-ready data with vertical-specific semantic layers to enable quick integration of the data into our customers’ and partners’ processes, thereby enabling faster adoption. We believe this strategy will allow customers to quickly advance their own geospatial analytics capacity by leveraging a productized version of our data layers and data platform. Beyond raw imagery data and other sources of data that we can collect from our satellites, we are building a catalog of geospatial layers from other sources, and processing and augmenting all of these to produce a growing set of derived layers,