Newsletter · · 6 min read

Last Week in Earth Observation: May 13, 2025

AI-Ready EO, The 3 Waves of Commercial EO Satellite Companies, Water Use by AI and more

Welcome to a new, belated edition of ‘Last Week in Earth Observation’, containing a summary of major developments in EO from the last week and some exclusive analysis and insights from TerraWatch.


Four Curated Things

Major developments in EO from the past week


💰 Contractual Stuff: Funding, Contracts and Deals

Funding

Contracts

M&A

My take: It is my job to anticipate market evolution and make predictions, but this was definitely not on my bingo card. This is a very non-traditional exit for an EO satellite firm. Three reasons why I think IonQ could have acquired Capella:
1/ Access to defense customers: Capella has won contracts from the US DoD and the acquisition immediately provided IonQ with customers to sell their IonQ to acquire Capella Space in bid to build ultra-secure quantum network to,
2/ Ownership of the space segment: Capella's vertical integration allows IonQ to integrate quantum payloads and launch as soon as possible so that they can have a first mover advantage, while also allowing them to potentially leverage quantum compute for SAR data processing.
3/ Short-term revenues: IonQ, founded in 2015 and went public in 2021, has seen its revenues double over the last 3 years (to $45M in 2024), so the acquisition of Capella which - according to our estimates - earns between $70-$80M should add to to their growth, at least in the short-term

📈 Strategic Stuff: Partnerships and Announcements

Partnerships

🗞️ Interesting Stuff: More News

🔗 Click-Worthy Stuff: Check These Out

Credit: CNN / NASA

EO Summit: Participating Organizations

EO Summit is a passion project. I wanted to challenge the status quo of conferences in Earth observation and rethink how they are structured —make it user-centric (not provider-centric) and application-based (not technology-based).

We have worked hard to bring together an incredible line-up of speakers from a variety of end-user organizations across insurance, finance, agriculture, forestry, energy, utilities and environment along with technology solution providers across the geospatial and EO landscape.

I set out to build the kind of EO conference that I’d personally be excited to attend, and I can say, objectively, that EO Summit 2025 has turned out to be one. Hope to see some of you in New York in a month!

One Discussion Point

Exclusive analysis and insights from TerraWatch


The Three Waves of Commercial EO Satellite Companies

When I give my "State of EO" presentations, I always use this slide to show the evolution of the commercial EO sector over the past decade and a half. While the number of EO satellite companies has risen from a handful in the early 2010s to 76 as of today, we can see some common themes and trends in how the industry has evolved. This visual is one way to understand how the EO market has evolved over the years.

Not including the longstanding industry giants such as Maxar and Airbus, I describe the growth of the commercial EO sector, or the so-called NewSpace EO as an evolution that happened in three waves: the horizontal pioneers, the vertical-focused innovators and the backward integrators.

*You might find that there are several anomalies in the market today that do not fit into any of these categories. You might even find that the vertical integration model is slowly coming back, in some companies. This is not a comprehensive market landscape, but simply a framework to understand the evolution of EO.


AI-Ready Earth Observation

I wrote a white paper in collaboration with EarthDaily on what AI-ready EO is, the differences with status quo, the benefits it could unlock, and the shifts it could bring across the sector.

After speaking with some folks in the EO ecosystem, I was able to validate some key assumptions I had on the path to truly AI-ready data: pre-launch instrument calibration (with continuous validation), automated preprocessing pipelines, interoperability with Sentinel/Landsat and harmonised data acquisitions.

Don't treat this as a technical spec, it’s the beginning of a forward-looking conversation about how we get to AI-ready EO.


Scene from Space

One visual leveraging EO


AI, Water Use and EO

I came across this article that dived deep into how data centers that power AI are using up a large volume of water, and are now increasingly located in areas with high water stress. It came with this graph that shows the explosive growth of data centers in locations with high water risk, based on data that combines satellite data and hydrological models (see WRI's Aqueduct for more info).

Credit: Bloomberg

It also included these satellite images from Planet showing where data centers are located – it is visually clear how dry these areas are.

Credit: Bloomberg / Planet

Until next time,

Aravind.

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