Satellite and space data traffic: trends and forecasts 2023–2033
28 November 2024 | Research
Forecast report | PPTX and PDF (13 slides); Excel | Earth Observation| Satellite Capacity
The demand for satellite data services is increasing across multiple user groups. Government agencies and private companies are all increasingly using space-based data to support a wide range of applications.
This is the fourth edition of Analysys Mason’s satellite and space data traffic forecast report, which assesses the trends that will affect the evolution of the volume of data traffic to help to align future investments with demand.
It is based on several sources, including our research and insights on satellite manufacturing and launch markets, satellite capacity supply and demand, space cloud computing, satellite Earth observation and space travel and tourism.
It includes an Excel annex with forecast data for 2023–2033.
Report coverage
- 10-year forecast of space and satellite data traffic by segment.
- Discussion of the challenges that satellite operators and service providers face as a result of increased data production/consumption.
- Recommendations for players in the space data value chain.
Questions answered
- How much space data traffic will be generated in each vertical during the forecast period?
- How do satellite communications and Earth observation data traffic volumes compare?
- What are the challenges posed by the increase in space data consumption?
- What are the data pricing trends?
Segmentation
Verticals |
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Variables |
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Segments |
Satellite and space applications
Satellite and space communications
Satellite and space infrastructure
Satellite and space tourism and other emerging markets
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Orbits |
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Who should read this report
- Strategy, planning, and business intelligence teams within satellite operators and space ground segment players
- Cloud providers that are exploring the satellite and space sector
- End users of satellite and space data that are looking to benchmark their current connectivity roadmaps
- Investors that want to understand the volume of space data traffic
Author
David Oni
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