Orbiting on Demand: How GSaaS is Rewiring the Satellite Industry’s Ground Game

By | October 13, 2025

Strategic interest in Ground Stations as a Service (GSaaS) is rising, driven by two counteracting trends in the satellite industry. The rapid proliferation of low Earth orbit (LEO) satellites is fueling demand for flexible, distributed ground station networks that can support dynamic, high-throughput connectivity. At the same time, financial pressures on geostationary orbit (GEO) operators are prompting them to monetize existing infrastructure through GSaaS offerings. This Insight Note outlines the GSaaS landscape and highlights key considerations for investors evaluating opportunities in this evolving segment.

Download the full Insight Note “Orbiting on Demand: How GSaaS is Rewiring the Satellite Industry’s Ground Game” with additional content covering The GSaaS Investment Case, GSaaS Market Drivers, and Strategic Differentiation in GSaaS Platforms.

Origins and Market Formation

The GSaaS market has evolved through distinct phases, shaped by satellite deployment trends and advances in infrastructure and software. Commercial ground station services began to emerge in the late 1990s, driven by a surge in planned LEO satellite constellations that required scalable global infrastructure. Universal Space Network (USN), founded in 1996, was among the earliest to offer flexible pay as you go telemetry, tracking, and command services, launching operations in 1998 with stations in Alaska and Hawaii. This model laid the foundation for GSaaS. In 2009, the Swedish Space Corporation (SSC) acquired USN and expanded its managed ground station services globally. Kongsberg Satellite Services (KSAT), established in 2002 as a joint venture in Norway, also scaled its offerings to support hundreds of low Earth orbit missions.

The mid 2010s marked a new phase with the rise of software-defined and cloud-integrated GSaaS startups. These providers differentiated themselves through platforms that emphasized API driven scheduling, dynamic resource allocation, and multi-tenant architectures. Leaf Space, ATLAS Space Operations, RBC Signals, CONTEC, and Infostellar, all launched between 2014 and 2016, introduced innovative service models. These firms generally fall into two categories: operators of proprietary ground station networks such as Leaf Space and ATLAS, and aggregators that broker partner capacity such as Infostellar and RBC Signals. As market demand for scalability grows, many of these companies are evolving into hybrid models that combine owned and partner ground stations.

By the end of the decade, hyperscalers entered the GSaaS market. AWS launched Ground Station in 2019 to support its Kuiper constellation, integrating satellite downlink with its global cloud infrastructure. Microsoft followed with Azure Orbital in 2020, leveraging its data centers and fiber backbone. Azure Orbital was retired in 2024, the same year GSaaS interest accelerated following EQT’s acquisition of Eutelsat’s ground station assets. Microsoft sold its antennas to Space Leasing International, which transferred them to RBC Signals for operational use.

In recent years, the rise of cellular non-terrestrial networks (NTNs) and Direct-to- Device (D2D) services has further increased interest in GSaaS. New constellations such as AST SpaceMobile and the Chinese megaconstellations, along with established players like Globalstar whose satellites support Apple’s Emergency SOS via Satellite service, require access to ground facilities that exceed those used for legacy services, if any were provided. These developments signal a shift toward cloud native GSaaS platforms that integrate seamlessly with downstream data processing, storage, and analytics. They also create new opportunities for telecom service providers delivering connectivity to these facilities, especially in developing markets.

Together, these phases reflect the GSaaS market’s transition from mission specific ground stations to flexible, distributed, and software-defined infrastructure. This transformation continues to reshape how satellite operators, data users, and investors engage with space based assets.

Ground Station as a Service - GSaaS
Satellite ground station. [Source: Bloomberg]

Strategic Pivot by GEO Operators

In recent years, incumbent GEO satellite operators have pursued strategic partnerships with GSaaS providers to monetize their ground station networks. This includes unlocking capital through leasing arrangements and asset carve-outs. The GEO satellite industry, facing competitive pressure from LEO operators such as SpaceX and declining demand for broadcast and video services, is grappling with falling revenues and elevated debt. Consolidation, including Viasat’s acquisition of Inmarsat and the merger between SES and Intelsat, reflects one strategic response. With extensive ground infrastructure, GEO operators have sought to extract value by partnering with GSaaS providers or pursuing full asset divestitures.

One of the most visible examples of this trend came in 2024, when Eutelsat sold its ground station assets to EQT in a transaction valued at €790 million, or approximately $830 million. The portfolio included around 1,400 antennas across more than 100 locations worldwide. A new entity was created to hold the passive ground infrastructure assets. These include land, buildings, support systems, antennas, and fiber connectivity circuits across the combined portfolio of teleports and satellite network portals. Eutelsat, serving as the anchor tenant, retained a 20% ownership stake in the new entity. This transaction opened the door for similar deals involving other incumbent satellite operators that are under financial pressure due to rising debt and declining revenues.

Beyond asset sales, GEO operators and GSaaS providers are also pursuing operational synergies through hosted infrastructure and shared service models. These arrangements allow incumbents to expand their satellite service without divesting ownership of ground stations. For example, Viasat, an integrated satellite operator and developer, partnered with Infostellar in 2020 in a collaboration where each company acts as a market channel for the other’s services in their respective regions. In 2023, Viasat opened a Real-Time Earth (RTE) ground station in Japan, hosted at Infostellar’s site in Hokkaido. Most recently, in September 2025, it announced a joint venture with Space42 called Equatys to operate a D2D service over a constellation that leverages shared infrastructure.

ProviderYear FoundedCapital Raised (M)Revenue1 (M)Number of Ground Stations2
Swedish Space Corporation (SSC) (Sweden)1972N/AN/A10
KSAT (Kongsberg Satellite Services) (Norway)2002N/A556 NOK (1Q2025) (~$53)20 (+4)
Leaf Space (Italy)2014$48.5N/A35
ATLAS Space Operations3 (USA)2015$39.8N/A11 (+24)
CONTEC (South Korea)2015N/A$71.4 (TTM; Jun ‘25)12
RBC Signals (USA)2015$3.2N/A50+ (aggregated)
Infostellar (Japan)2016$21.8N/A26 (own & partners)
AWS Ground Station (USA)2019N/AN/A12
1 GSaaS operates as a business unit within AWS, KSAT, and SSC, none of which typically disclose segment-level revenues. Financial data is also unavailable for privately held GSaaS providers. 2 Ground stations may be owned or shared from partners. Partner stations are listed in parentheses. Additional indicators of network scale include the number of antennas and daily satellite passes. Stations differ in their supported frequency bands. 3 Acquired by York Space Systems in July 2025 for an undisclosed amount.
Table 1 Select GSaaS providers.

Ground Station Innovation Trends

Ground stations today differ significantly from the first generation that emerged in the late 1990s. Early deployments were dedicated and mission-specific, relying on proprietary hardware, custom protocols, and semi-automated operations. These early GSaaS models resembled colocation data centers, offering power, space, and connectivity to satellite operators.

Modern GSaaS platforms differentiate through both technology and business model. Technologically, they enable greater flexibility, dynamic scheduling, and highly automated operations, which improve efficiency and reduce costs. From a business model perspective, GSaaS aggregators act as capacity brokers, selling antenna time on third-party teleports. Both aggregators and owner-operators offer opex-based models to customers, who are primarily private enterprises in the NewSpace era. Governments remain an important segment for non-classified missions, in contrast to the government-led demand of earlier decades.

Technological innovation in GSaaS spans both hardware and software domains, driving operational efficiency and enhancing profitability. Key advancements include:

  • Software-defined radios (SDR): Modern GSaaS platforms leverage SDRs to virtualize the communication stack, especially the baseband processing. This enables dynamic reconfiguration of waveforms and modulation schemes on a per-mission basis. The flexibility allows a single ground station to support diverse customers with tailored protocols, creating a differentiated multi-tenant service layer beyond basic connectivity.
  • Cloud integration and APIs: Seamless integration with major cloud providers such as AWS, Azure, and GCP supports automated data ingestion, storage, and processing pipelines. APIs allow satellite operators to programmatically schedule passes, retrieve telemetry, and trigger analytics.
  • Antenna technologies: The industry is actively adopting electronically steered phased array antennas. These enable simultaneous multi-beam tracking, faster satellite handovers, and reduced mechanical maintenance, which is critical for high-cadence LEO constellations. Though not yet dominant, phased arrays represent the next evolution in ground segment scalability.
  • Edge computing: Processing data directly at or near the ground station, such as decrypting, decompressing, or running AI models for anomaly detection or feature extraction, reduces upstream bandwidth costs and delivers low-latency insights for time-sensitive applications. Edge computing optimizes total cost of ownership and enhances service value.
  • Scheduling and analytics leveraging AI/ML: Orchestrating passes across multiple satellites, customers, and global antenna sites under dynamic constraints (weather, priority SLAs, orbital mechanics) is a complex optimization challenge. AI/ML models enable predictive scheduling, interference mitigation, and real-time resource allocation. These capabilities improve antenna utilization, ensure reliability, and directly enhance operations and service quality.

Key Takeaways