India’s space story is usually told looking up: launches, landings, a lunar south pole reached before anyone else. At L&T Vyoma, we’d argue the next decade of that story gets decided looking down. Every satellite India puts into orbit is, commercially speaking, a data business. Its value is realised on the ground, in the infrastructure that catches the downlink, stores the archive, and runs the AI that turns raw pixels and signals into crop forecasts, flood warnings and broadband. The country is building the orbital layer at remarkable speed. The question nobody should skip is where the terrestrial layer runs, and under whose jurisdiction.
A USD 44 Billion Ambition, Built on Data
The trajectory is public and steep. India aims to grow its space economy from USD 8.4 billion in 2022 to USD 44 billion by 2033, capturing about 8% of a global market projected to pass USD 1.8 trillion by 2035 (FICCI–EY). Look at where that growth is expected to come from and a pattern appears. Satellite communication is projected to reach USD 14.8 billion by 2033; earth observation, another USD 8 billion (FICCI–EY). Both are data services. The Indian Space Policy 2023 opened the sector to private operators, and the shift is already concrete: under the Earth Observation PPP, a consortium led by Pixxel is building a 12-satellite constellation in a ₹1,200 crore programme, India’s first private-led EO network (Invest India). L&T knows this supply chain from the inside — an HAL–L&T consortium is executing India’s first private PSLV launch-vehicle programme.
Add it up and the 2033 target quietly assumes something the headlines rarely mention: a data layer sized for constellations. Downlink stations feeding archives that grow without end. AI pipelines re-processing years of imagery every time a better model ships. Billing, telemetry and broadband operations running around the clock. None of that happens in orbit. All of it happens in data centers.
Every Satellite Is a Data Business
Consider what an EO constellation actually sells. Not satellites — answers. Which fields are drought-stressed. Where the flood will spread next. How fast a glacier, a coastline or a city is changing. Producing those answers means running computer-vision and foundation models over enormous, continuously refreshed archives, and the economics of that work are brutal in a specific way: the compute demand arrives in bursts. A new sensor comes online, a disaster demands immediate re-tasking, a customer wants five years of history re-analysed with this quarter’s model. Owning GPUs for the peak means idling them the rest of the year. This is workload-shaped exactly for GPU-as-a-service, which is why we built our AI Factory to serve it: Blackwell, Hopper and RTX fleets on demand, scaled up for the re-processing run, released when it ends.
Where Sovereignty Leaks: The Ground Segment
Here is the uncomfortable part. A satellite can be designed in Bengaluru, launched from Sriharikota, owned by an Indian operator — and still leak sovereignty at the ground segment, if the data it produces lands in a foreign-operated cloud answerable to foreign law. High-resolution geospatial data is among the most sensitive information a country generates. It maps critical infrastructure, borders, military installations and disaster response in progress. Defence and government programmes cannot carry foreign-jurisdiction exposure on that data at all, and under the DPDP Act, commercial operators carry their own residency obligations. The orbital layer is sovereign by construction. The terrestrial layer is only sovereign by choice.
That choice is what we built. Our campuses in Mumbai and Chennai are L&T-operated, Tier III certified, carrier-neutral, and positioned near India’s subsea cable landings — the same low-latency backbone a SATCOM operator or a ground-station network needs. Data residency and DPDP-aligned compliance are structural. For a space company, that means the whole chain from downlink to delivered insight can run inside Indian jurisdiction, on infrastructure operated by an Indian engineering house.
What the Space Data Layer Runs On
Different pieces of the space economy want different infrastructure, so we serve the range rather than one shape. Burst analytics runs on the AI Factory, where the RTX PRO 6000 Blackwell Server Edition handles inference and visualisation, and B200 and H200 systems carry model training on 192 GB and 141 GB of HBM3e respectively. Ground-segment operators who want hardware under their own control take colocation — a rack, a cage or a private suite. Archives and operations sit on our public cloud with managed services running the plumbing. The halls behind all of it are engineered for beyond 100 kW per rack with direct liquid cooling, because geospatial AI is as dense as any other frontier workload. And the Cloud Calculator prices a re-processing campaign before it starts.
Mapping the Workloads
|
Space Workload |
What It Demands on the Ground |
Where It Runs at Vyoma |
|
Earth-observation analytics |
GPU compute close to the downlink, at scale, on demand |
AI Factory GPUaaS (Blackwell, Hopper, RTX) |
|
SATCOM operations & billing |
Low-latency, carrier-neutral connectivity, Tier III uptime |
Mumbai & Chennai campuses near cable landings |
|
Constellation ground segment |
Dedicated racks, cages or suites under operator control |
Colocation, rack to private suite |
|
Geospatial AI for defence & government |
Sovereign compute, zero foreign-jurisdiction exposure |
India-based, DPDP-aligned infrastructure |
|
Mission archives & reprocessing |
Dense, resilient storage with compute alongside |
Public cloud + managed services |
The Ground Decides the Race
India has spent seven decades proving it can reach orbit on its own terms. The next USD 35 billion of space economy will be won or lost terrestrially, in whether the data those satellites produce can be stored, processed and monetised at scale without leaving the country. That is the layer we build. Sovereign campuses near the cable landings, GPU compute sized for constellation-scale analytics, and an L&T engineering lineage that already runs through India’s launch programme itself.
If you’re building for the space economy — as an operator, an analytics company or a government programme — talk to our team about the ground segment, or explore the AI Factory where the data work runs.