Ten years ago, if a company wanted daily images of every farmland, port, and forest on Earth, it would have needed a couple of billion-dollar satellites and a great deal of patience as they made their slow way around the planet. Nowadays, it only needs a group of spacecraft the size of shoeboxes, a launch contract, and a ground station network, which is a much cheaper and faster way to establish continuous global coverage. The change—from a small number of expensive satellites to numerous small, inexpensive ones that are frequently replaced—is the greatest structural change that has ever taken place in the Earth observation sector of the space industry.

From flagship missions to fleets

The traditional approach to Earth observation resembled a national space program: a single, brilliantly engineered satellite, a launch costing tens of millions of dollars, and a design life spanning decades. Although this model still exists, it no longer defines the field. The Earth-imaging company based in San Francisco, Planet Labs, now operates a fleet of more than 200 satellites in orbit and has launched over 460 since its first launch in 2013, providing daily images of the whole Earth's land area (World Economic Forum). However, no single-satellite program, no matter how well funded, can achieve that revisit frequency, since revisit frequency depends on fleet size, not the capabilities of any one spacecraft.

The main point of the small-satellite approach is that if you launch enough satellites into the right orbits, you can trade the sophistication of individual spacecraft for extensive coverage across the entire constellation. A single high-end imaging satellite could take a few days to pass over a particular point on Earth one time. In contrast, a group of a few hundred small satellites, orbiting in coordination, can pass over that same point on Earth on several occasions each day.

The market is scaling faster than most people realize

The figures confirm the situation as it exists in practice. The global market for small satellites used in Earth observation is expected to increase from about $2.14 billion in 2026 to $6.90 billion by 2034, representing a compound annual growth rate of nearly 16 percent, as stated in market research referred to by SatNews. Commercial demand, not government contracts, is currently the main force behind growth, rising at an annual rate of more than 17 percent as companies in the fields of logistics, insurance, agriculture and finance incorporate Earth observation data directly into their operations.

The majority of new constellations are now placed in Low Earth Orbit, which allows for frequent revisits. Radar imaging (SAR), with its ability to penetrate cloud cover and operate at night, is the sensor category that is growing fastest in this field. Although that fact may not seem very important, it is: since optical satellites cannot function over a cloudy area and as much of the world is cloudy most of the time, a constellation that includes both optical and radar equipment can provide useful imagery whatever the weather conditions, a feat that no individual satellite program could afford to promise.

What this means for the people buying the data

For a company that is deciding whether or not to include Earth observation as part of its product, the move to using small satellites completely alters the way it considers making such purchases. For many years acquiring satellite imagery involved a slow and costly process, usually necessitating a request to a provider associated with the government. Nowadays it involves making an API call to a commercial constellation operator, with the imagery being updated daily or even several times a day and the price being charged per query rather than per mission.

Imagine an agricultural insurance company which has to check crop damage claims over a larger area following a hailstorm. In the previous method, such verification would involve hiring aerial surveys, take weeks and cost tens of thousands of dollars. With the small-satellite approach, the company can obtain same-day or next-day satellite images for the whole area in question via a data API and can easily compare them with historical baseline images to automatically identify any anomalies. The cost per claim is reduced by a factor of ten and the time taken goes from weeks to days.

The competitive horizon ahead

The next stage in this transition involves more than just launching additional satellites; it's about the way operators handle the data after it has been gathered. When the raw images are combined with smart analytics and insights, there are countless possible applications. The constellations that will succeed in the commercial sector will be those which integrate frequent revisit times with analytics features such as change detection, anomaly identification, and automated alerting so that pixels can be turned into decisions. In this market, differentiation will shift up the chain of processing, moving from "who has the most satellites" to "who can tell a customer something actionable the fastest."

The key point is that small satellites have not only made Earth observation cheaper but have also made it much more effective. Just as shifting from a static picture to a motion picture does, these constellations enable us to capture all the details of our planet and observe it as a continuous stream. This kind of change is now affecting every industry that needs to know what is happening on the ground at the current moment.