Global Space Situational Awareness (SSA) Market Size and Trends

The global space situational awareness (SSA) market size is expected to reach US$ 2.68 Bn by 2030, from US$ 1.88 Bn in 2023, at a CAGR of 5.2% during the forecast period.

The global space situational awareness (SSA) market is segmented by offering, object, end user, orbit and region. By offering, the market is segmented into services, software, and hardware. The services segment accounted for the largest share in 2022. Services include space surveillance & tracking, conjunction analysis, launch support, and specialized engineering services. The demand for SSA services is increasing owing to the growing number of satellite launches and the need to ensure operational sustainability in space.

Global Space Situational Awareness (SSA) Market Trends:

Proliferation of mega constellations in LEO: The trend of deploying large constellations of hundreds to thousands of satellites in LEO orbits for global connectivity is rising. Starlink, OneWeb, and Kuiper represent ambitious mega-constellation projects underway. While bringing benefits, large batches of satellites make orbits more crowded. Tracking assets, avoiding collisions and mitigating space debris will require precise SSA and coordination. This trend is spurring technology innovation and investments in SSA infrastructure.
Public-private collaboration on STA/STM frameworks: Collaborative development of civil and military space traffic awareness (STA) and management (STM) frameworks involving governments, private companies and academia is rising. Initiatives like the U.S. Commerce Department's Open Architecture Data Repository seek to enable data sharing across entities for comprehensive SSA. The EU is also funding STM projects and fostering ties between space agencies, industry, and research institutes. Such partnerships leverage strengths of different stakeholders for robust STM based on SSA.
Leveraging Big Data and AI for SSA modernization: Incorporating big data analytics, machine learning, and AI into existing SSA systems is a growing trend. The application of advanced algorithms to huge datasets enables automation of tasks like object detection, cataloging, orbit propagation, and risk probability. For instance, the U.S. Air Force is testing AI technologies to optimize its Space Surveillance Network. Big data improves insights from multi-sensor systems. AI and automation help overcome human limitations in managing large space object catalogs.
Development of national and regional SSA capabilities: More countries and regions are developing indigenous SSA capabilities for strategic interests and commercial needs. Japan, India, South Korea, UAE, South Africa, Australia, and others operate SSA assets. The EU is building its own SSA framework. Resource sharing between regional partners is also rising. Drivers include securing space infrastructure, enabling responsible behavior, and leveraging SSA expertise. Distributed SSA architecture provides data redundancy while reducing reliance on a few operators.

Global Space Situational Awareness (SSA) Market Trends:

Proliferation of mega constellations in LEO: The trend of deploying large constellations of hundreds to thousands of satellites in LEO orbits for global connectivity is rising. Starlink, OneWeb, and Kuiper represent ambitious mega-constellation projects underway. While bringing benefits, large batches of satellites make orbits more crowded. Tracking assets, avoiding collisions and mitigating space debris will require precise SSA and coordination. This trend is spurring technology innovation and investments in SSA infrastructure.
Public-private collaboration on STA/STM frameworks: Collaborative development of civil and military space traffic awareness (STA) and management (STM) frameworks involving governments, private companies and academia is rising. Initiatives like the U.S. Commerce Department's Open Architecture Data Repository seek to enable data sharing across entities for comprehensive SSA. The EU is also funding STM projects and fostering ties between space agencies, industry, and research institutes. Such partnerships leverage strengths of different stakeholders for robust STM based on SSA.
Leveraging Big Data and AI for SSA modernization: Incorporating big data analytics, machine learning, and AI into existing SSA systems is a growing trend. The application of advanced algorithms to huge datasets enables automation of tasks like object detection, cataloging, orbit propagation, and risk probability. For instance, the U.S. Air Force is testing AI technologies to optimize its Space Surveillance Network. Big data improves insights from multi-sensor systems. AI and automation help overcome human limitations in managing large space object catalogs.
Development of national and regional SSA capabilities: More countries and regions are developing indigenous SSA capabilities for strategic interests and commercial needs. Japan, India, South Korea, UAE, South Africa, Australia, and others operate SSA assets. The EU is building its own SSA framework. Resource sharing between regional partners is also rising. Drivers include securing space infrastructure, enabling responsible behavior, and leveraging SSA expertise. Distributed SSA architecture provides data redundancy while reducing reliance on a few operators.