Satellite Data Services Market Outlook

As per our latest research, the global satellite data services market size reached USD 8.7 billion in 2024, driven by increasing demand for real-time geospatial intelligence and advanced analytics across multiple industries. The market is poised for robust expansion, registering a CAGR of 18.2% from 2025 to 2033. By 2033, the satellite data services market is forecasted to attain a value of USD 44.1 billion, propelled by technological advancements, the proliferation of small satellite constellations, and growing integration of satellite data into commercial applications. This growth trajectory underscores the transformative impact of satellite data on decision-making processes and operational efficiency across global sectors.

One of the principal growth factors for the satellite data services market is the surge in demand for high-resolution imagery and geospatial analytics across sectors such as agriculture, energy, defense, and environmental monitoring. The rapid digitization of industries and the need for precise, real-time data to support critical operations have fueled investments in satellite data services. Additionally, the increasing frequency of natural disasters and the growing importance of climate change monitoring have necessitated the use of satellite-based solutions for timely and accurate information. The integration of artificial intelligence and machine learning with satellite data analytics has further amplified the value proposition of these services, enabling predictive insights and automated anomaly detection for enhanced decision-making.

Another significant driver is the expansion of small satellite constellations and the decreasing cost of satellite launches, which have democratized access to satellite data. The advent of low Earth orbit (LEO) satellites has revolutionized data acquisition, offering improved revisit rates and cost-effective solutions for commercial and governmental clients. The proliferation of private players and public-private partnerships has accelerated innovation in satellite data services, resulting in enhanced data quality, faster delivery times, and a wider range of value-added services. This democratization has opened new avenues for start-ups and SMEs, fostering a competitive environment that stimulates continuous technological advancement and market expansion.

The satellite data services market is also benefiting from increased government initiatives and policy support for space-based infrastructure and data utilization. Governments worldwide are investing in satellite programs to bolster national security, disaster management, and socio-economic development. These initiatives have led to greater collaboration between governmental agencies and private enterprises, promoting the adoption of satellite data for urban planning, resource management, and infrastructure development. Moreover, international efforts to standardize satellite data formats and improve interoperability are facilitating cross-border data sharing, thereby expanding the global reach and utility of satellite data services.

Regionally, North America remains the largest market for satellite data services, accounting for over 37% of global revenue in 2024, driven by the presence of leading satellite operators, advanced technological infrastructure, and substantial government funding. Europe follows closely, supported by strong investments in space programs and a burgeoning commercial sector. The Asia Pacific region is witnessing the fastest growth, with a projected CAGR of 21.5% during the forecast period, fueled by increasing adoption of satellite technologies in emerging economies such as China and India. Latin America and the Middle East & Africa are also experiencing steady growth, albeit from a smaller base, as governments and enterprises in these regions recognize the strategic value of satellite data for development and security.

Service Type Analysis

This dataset provides a seamless cloud-free 10m resolution satellite imagery layer of the New Zealand mainland and offshore islands.

The imagery was captured by the European Space Agency Sentinel-2 satellites between September 2023 - April 2024.

Data comprises: • 450 ortho-rectified RGB GeoTIFF images in NZTM projection, tiled into the LINZ Standard 1:50000 tile layout. • Satellite sensors: ESA Sentinel-2A and Sentinel-2B • Acquisition dates: September 2023 - April 2024 • Spectral resolution: R, G, B • Spatial resolution: 10 meters • Radiometric resolution: 8-bits (downsampled from 12-bits)

This is a visual product only. The data has been downsampled from 12-bits to 8-bits, and the original values of the images have been modified for visualisation purposes.

If you require the 12-bit imagery (R, G, B, NIR bands), send your request to imagery@linz.govt.nz

The Nordics satellite imagery services market is projected to grow from $0.22 million in 2025 to $0.96 million by 2033, exhibiting a CAGR of 13.62% during the forecast period. The increasing adoption of satellite imagery for various applications, such as geospatial data acquisition and mapping, natural resource management, and surveillance and security, is driving the market growth. Moreover, the expanding construction and transportation & logistics sectors in the region are further boosting the demand for satellite imagery services. Key trends shaping the Nordics satellite imagery services market include:

Growing adoption of cloud-based platforms and services for satellite imagery processing and analysis: This trend is enabling end-users to access satellite imagery data and services without the need for significant upfront investments in infrastructure. Increasing availability of high-resolution satellite imagery: The launch of new satellites and the development of new image processing technologies are making it possible to obtain high-resolution satellite imagery, which is essential for a variety of applications, such as mapping and land use planning. Emergence of new applications for satellite imagery: Satellite imagery is increasingly being used for a variety of new applications, such as environmental monitoring, disaster management, and precision agriculture. These new applications are creating new opportunities for growth in the Nordics satellite imagery services market. Recent developments include: May 2023 - Business Finland granted EUR 30 million (USD 32.75 million) loan funding for ICEYE's product development project based on innovative new sensor and space technology that will provide real-time and reliable information to support decision-making worldwide. The project aims to create a unique information and software platform, design and develop technology for next-generation satellites, and apply the high-accuracy information from satellites globally for natural catastrophe analysis, modeling, and decision-making., March 2023 - Norway's International Climate and Forest Initiative (NICFI) announced that NICFI's satellite data program is extended until September 2023. Norway's International Climate and Forest Initiative (NICFI) grant free access to high-resolution satellite imagery of the tropics to anyone, anywhere, to monitor tropical deforestation. Through Norway's International Climate & Forests Initiative, users can access the planet's high-resolution, analysis-ready satellite images of the world's tropics to help reduce and combat climate change and reverse the loss of tropical forests.. Key drivers for this market are: Increasing Demand among Various End-user Industries, notablly in Forestry Sector, Adoption of Big Data and Imagery Analytics. Potential restraints include: High Cost of Satellite Imaging Data Acquisition and Processing. Notable trends are: Forestry and Agriculture is Analyzed to Hold Significant Market Share.

This image service contains high resolution satellite imagery for selected regions throughout the Yukon. Imagery is 1m pixel resolution, or better. Imagery was supplied by the Government of Yukon, and the Canadian Department of National Defense. All the imagery in this service is licensed. If you have any questions about Yukon government satellite imagery, please contact Geomatics.Help@gov.yk.can. This service is managed by Geomatics Yukon.

GeoMAD is the Digital Earth Africa (DE Africa) surface reflectance geomedian and triple Median Absolute Deviation data service. It is a cloud-free composite of satellite data compiled over specific timeframes. This service is ideal for longer-term time series analysis, cloudless imagery and statistical accuracy.

GeoMAD has two main components: Geomedian and Median Absolute Deviations (MADs)

The geomedian component combines measurements collected over the specified timeframe to produce one representative, multispectral measurement for every pixel unit of the African continent. The end result is a comprehensive dataset that can be used to generate true-colour images for visual inspection of anthropogenic or natural landmarks. The full spectral dataset can be used to develop more complex algorithms.

For each pixel, invalid data is discarded, and remaining observations are mathematically summarised using the geomedian statistic. Flyover coverage provided by collecting data over a period of time also helps scope intermittently cloudy areas.

Variations between the geomedian and the individual measurements are captured by the three Median Absolute Deviation (MAD) layers. These are higher-order statistical measurements calculating variation relative to the geomedian. The MAD layers can be used on their own or together with geomedian to gain insights about the land surface and understand change over time.Key PropertiesGeographic Coverage: Continental Africa - approximately 37° North to 35° SouthTemporal Coverage: 2017 – 2022*Spatial Resolution: 10 x 10 meterUpdate Frequency: Annual from 2017 - 2022Product Type: Surface Reflectance (SR)Product Level: Analysis Ready (ARD)Number of Bands: 14 BandsParent Dataset: Sentinel-2 Level-2A Surface ReflectanceSource Data Coordinate System: WGS 84 / NSIDC EASE-Grid 2.0 Global (EPSG:6933)Service Coordinate System: WGS 84 / NSIDC EASE-Grid 2.0 Global (EPSG:6933)*Time is enabled on this service using UTC – Coordinated Universal Time. To assure you are seeing the correct year for each annual slice of data, the time zone must be set specifically to UTC in the Map Viewer settings each time this layer is opened in a new map. More information on this setting can be found here: Set the map time zone.ApplicationsGeoMAD is the Digital Earth Africa (DE Africa) surface reflectance geomedian and triple Median Absolute Deviation data service. It is a cloud-free composite of satellite data compiled over specific timeframes. This service is ideal for:Longer-term time series analysisCloud-free imageryStatistical accuracyAvailable BandsBand IDDescriptionValue rangeData typeNo data valueB02Geomedian B02 (Blue)1 - 10000uint160B03Geomedian B03 (Green)1 - 10000uint160B04Geomedian B04 (Red)1 - 10000uint160B05Geomedian B05 (Red edge 1)1 - 10000uint160B06Geomedian B06 (Red edge 2)1 - 10000uint160B07Geomedian B07 (Red edge 3)1 - 10000uint160B08Geomedian B08 (Near infrared (NIR) 1)1 - 10000uint160B8AGeomedian B8A (NIR 2)1 - 10000uint160B11Geomedian B11 (Short-wave infrared (SWIR) 1)1 - 10000uint160B12Geomedian B12 (SWIR 2)1 - 10000uint160SMADSpectral Median Absolute Deviation0 - 1float32NaNEMADEuclidean Median Absolute Deviation0 - 31623float32NaNBCMADBray-Curtis Median Absolute Deviation0 - 1float32NaNCOUNTNumber of clear observations1 - 65535uint160Bands can be subdivided as follows:

Geomedian — 10 bands: The geomedian is calculated using the spectral bands of data collected during the specified time period. Surface reflectance values have been scaled between 1 and 10000 to allow for more efficient data storage as unsigned 16-bit integers (uint16). Note parent datasets often contain more bands, some of which are not used in GeoMAD. The geomedian band IDs correspond to bands in the parent Sentinel-2 Level-2A data. For example, the Annual GeoMAD band B02 contains the annual geomedian of the Sentinel-2 B02 band. Median Absolute Deviations (MADs) — 3 bands: Deviations from the geomedian are quantified through median absolute deviation calculations. The GeoMAD service utilises three MADs, each stored in a separate band: Euclidean MAD (EMAD), spectral MAD (SMAD), and Bray-Curtis MAD (BCMAD). Each MAD is calculated using the same ten bands as in the geomedian. SMAD and BCMAD are normalised ratios, therefore they are unitless and their values always fall between 0 and 1. EMAD is a function of surface reflectance but is neither a ratio nor normalised, therefore its valid value range depends on the number of bands used in the geomedian calculation.Count — 1 band: The number of clear satellite measurements of a pixel for that calendar year. This is around 60 annually, but doubles at areas of overlap between scenes. “Count” is not incorporated in either the geomedian or MADs calculations. It is intended for metadata analysis and data validation.ProcessingAll clear observations for the given time period are collated from the parent dataset. Cloudy pixels are identified and excluded. The geomedian and MADs calculations are then performed by the hdstats package. Annual GeoMAD datasets for the period use hdstats version 0.2.More details on this dataset can be found here.

Snapshot img

Satellite Market Size 2024-2028

The satellite market size is forecast to increase by USD 14.53 billion at a CAGR of 3.31% between 2023 and 2028. The market is experiencing significant growth, driven by the increasing demand for DTH services and satellite-based telemetry applications. The number of DTH subscribers continues to rise, fueled by the availability of affordable satellite receivers. High-throughput satellites (HTS) are gaining popularity due to their ability to provide faster data transmission rates, making them ideal for IoT devices and other bandwidth-intensive applications. The high cost of satellite hardware and components remains a challenge, but innovations such as 3D-printed satellite parts are helping to reduce costs. OneWeb, among others, is leading the charge in this area, with plans to launch a constellation of low Earth orbit satellites to provide global connectivity. Overall, the market is poised for continued growth, driven by advancements in technology and increasing demand for reliable, high-speed connectivity.

Request Free Sample

The market is witnessing significant growth due to the increasing demand for artificial satellites in various applications such as communication, earth observation, navigation, scientific research, and space exploration. These satellites are launched into different orbits, including Low Earth Orbit (LEO), Medium Earth Orbit (MEO), and Geostationary Earth Orbit (GEO), depending on their function. Communication is a major application segment in the market, driving the demand for satellite services, including satellite-based internet services and voice communications. Earth observation is another significant application area, with satellite imaging playing a crucial role in areas like agriculture, forestry, and disaster management. High-throughput satellites and mega constellations, such as Starlink satellites, are emerging trends in the market, aiming to bridge the digital divide by providing internet access to remote and underserved areas.

Furthermore, space exploration missions and satellite-based warfare are other key applications driving the growth of the market. Small satellites are gaining popularity due to their cost-effectiveness and ease of deployment. Satellite data transmission is another crucial aspect of the market, with space data being used for various applications, including television and video distribution, digital television, and internet access. The market is witnessing significant investments from satellite enterprises, communication service providers, and space-focused firms.

Market Segmentation

The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD Billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

End-user

  Civil
  Defense


Type

  Large
  medium satellite
  Small satellite


Geography

  North America

    US


  Europe

    France


  APAC

    China
    Japan


  Middle East and Africa



  South America

By End-user Insights

The civil segment is estimated to witness significant growth during the forecast period. Satellites play a crucial role in driving economic growth for various sectors, including commercial enterprises, government agencies, and the telecommunications and space industries. These technological marvels come in different forms, determined by their frequency, orbit, and mission objectives. With the escalating demand for Internet services and the growing number of mobile users, satellites have found extensive applications in civilian domains, such as voice communications, satellite-based internet services, and meteorology. Manufacturers of GPS receivers cater to the needs of civilians, particularly scientists and surveyors, who rely on these devices for precise time and position measurements for research and surveying purposes. Additionally, satellites contribute significantly to civil aviation, ensuring optimal navigational services and flight information region (FIR) coverage.

Get a glance at the market share of various segments Request Free Sample

The civil segment was valued at USD 45.95 billion in 2018 and showed a gradual increase during the forecast period.

Regional Insights

North America is estimated to contribute 38% to the growth of the global market during the forecast period. Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

For more insights on the market share of various regions Request Free Sample

Satellite services play a crucial role in various applications, including satellite imaging, internet connectivity, and voice communications. North America is a significant market for these services, with the US, Canada, and Mexico being the primary consumers. The US, in particular, has a

The KSA Satellite Imagery Services Market report segments the industry into By Application (Geospatial Data Acquisition and Mapping, Natural Resource Management, Surveillance and Security, Conservation and Research, Disaster Management, Intelligence) and By End-User (Government, Construction, Transportation and Logistics, Military and Defense, Forestry and Agriculture, Others).

EarthExplorerUse the USGS EarthExplorer (EE) to search, download, and order satellite images, aerial photographs, and cartographic products. In addition to data from the Landsat missions and a variety of other data providers, EE provides access to MODIS land data products from the NASA Terra and Aqua missions, and ASTER level-1B data products over the U.S. and Territories from the NASA ASTER mission. Registered users of EE have access to more features than guest users.Earth Explorer Distribution DownloadThe EarthExplorer user interface is an online search, discovery, and ordering tool developed by the United States Geological Survey (USGS). EarthExplorer supports the searching of satellite, aircraft, and other remote sensing inventories through interactive and textual-based query capabilities. Through the interface, users can identify search areas, datasets, and display metadata, browse and integrated visual services within the interface.The distributable version of EarthExplorer provides the basic software to provide this functionality. Users are responsible for verification of system recommendations for hosting the application on your own servers. By default, this version of our code is not hooked up to a data source so you will have to integrate the interface with your data. Integration options include service-based API's, databases, and anything else that stores data. To integrate with a data source simply replace the contents of the 'getDataset' and 'search' functions in the CWIC.php file.Distribution is being provided due to users requests for the codebase. The EarthExplorer source code is provided "As Is", without a warranty or support of any kind. The software is in the public domain; it is available to any government or private institution.The software code base is managed through the USGS Configuration Management Board. The software is managed through an automated configuration management tool that updates the code base when new major releases have been thoroughly reviewed and tested.Link: https://earthexplorer.usgs.gov/

France Satellite Imagery Services Market size was valued at USD 710 Million in 2024 and is projected to reach USD 1316 Million by 2032, growing at a CAGR of 7.9% from 2026 to 2032. Key Market Drivers:Rising Government Investment in Earth Observation Programs: France satellite imagery services market is expanding due to substantial public funding for space-based monitoring initiatives. According to the French National Center for Space Studies (CNES) 2024 report, government spending on Earth observation increased by 28% to €650 Million in 2023. Key player Airbus Defence and Space launched the Pléiades Neo 4 satellite in Q1 2024, offering 30cm resolution imagery. The French Ministry of Armed Forces recently signed a €120 Million contract with Thales Alenia Space for defense-grade satellite monitoring. Startups like Unseenlabs are gaining traction with RF detection satellites, securing €25 Million in Series B funding for maritime surveillance expansion.Growing Demand for Precision Agriculture Solutions: The agricultural sector is driving adoption of satellite imagery services for crop monitoring and yield optimization across France. A 2023 report by FranceAgriMer revealed 45% of large farms now use satellite data analytics, up from 28% in 2020. Telespazio France partnered with CNES to provide free satellite data to 15,000 farmers through the GEOAGRI platform. In 2024, Kermap launched AI-powered analysis tools detecting crop stress with 95% accuracy. Airbus expanded its FarmStar agricultural service, while Sencrop integrated satellite data with ground sensors for hyperlocal field insights.

GeoMAD is the Digital Earth Africa (DE Africa) surface reflectance geomedian and triple Median Absolute Deviation data service. It is a cloud-free composite of satellite data compiled over specific timeframes. This service is ideal for longer-term time series analysis, cloudless imagery and statistical accuracy.

GeoMAD has two main components: Geomedian and Median Absolute Deviations (MADs).

The geomedian component combines measurements collected over the specified timeframe to produce one representative, multispectral measurement for every pixel unit of the African continent. The end result is a comprehensive dataset that can be used to generate true-colour images for visual inspection of anthropogenic or natural landmarks. The full spectral dataset can be used to develop more complex algorithms.

For each pixel, invalid data is discarded, and remaining observations are mathematically summarised using the geomedian statistic. Flyover coverage provided by collecting data over a period of time also helps scope intermittently cloudy areas.

Variations between the geomedian and the individual measurements are captured by the three Median Absolute Deviation (MAD) layers. These are higher-order statistical measurements calculating variation relative to the geomedian. The MAD layers can be used on their own or together with geomedian to gain insights about the land surface and understand change over time.Key PropertiesGeographic Coverage: Continental Africa - approximately 37° North to 35° SouthTemporal Coverage: 2013 – 2020*Spatial Resolution: 30 x 30 meterUpdate frequency: Annual from 2013 - 2020Product Type: Surface Reflectance (SR)Product Level: Analysis Ready (ARD)Number of Bands: 10 BandsParent Dataset: Landsat Collection 2 Level-2 Surface ReflectanceSource Data Coordinate System: WGS 84 / NSIDC EASE-Grid 2.0 Global (EPSG:6933)Service Coordinate System: WGS 84 / NSIDC EASE-Grid 2.0 Global (EPSG:6933)*Time is enabled on this service using UTC – Coordinated Universal Time. To assure you are seeing the correct year for each annual slice of data, the time zone must be set specifically to UTC in the Map Viewer settings each time this layer is opened in a new map. More information on this setting can be found here: Set the map time zone.ApplicationsGeoMAD is the Digital Earth Africa (DE Africa) surface reflectance geomedian and triple Median Absolute Deviation data service. It is a cloud-free composite of satellite data compiled over specific timeframes. This service is ideal for:Longer-term time series analysisCloud-free imageryStatistical accuracyAvailable BandsBand IDDescriptionValue rangeData typeNo data valueSR_B2Geomedian SR_B2 (Blue)1 - 10000uint160SR_B3Geomedian SR_B3 (Green)1 - 10000uint160SR_B4Geomedian SR_B4 (Red)1 - 10000uint160SR_B5Geomedian SR_B5 (NIR)1 - 10000uint160SR_B6Geomedian SR_B6 (SWIR 1)1 - 10000uint160SR_B7Geomedian SR_B7 (SWIR 2)1 - 10000uint160SMADSpectral Median Absolute Deviation0 - 1float32NaNEMADEuclidean Median Absolute Deviation0 - 31623float32NaNBCMADBray-Curtis Median Absolute Deviation0 - 1float32NaNCOUNTNumber of clear observations1 - 65535uint160Bands have been subdivided as follows:Geomedian - 6 bands: The geomedian is calculated using the spectral bands of data collected during the specified time period. Surface reflectance values have been scaled between 1 and 10000 to allow for more efficient data storage as unsigned 16-bit integers (uint16). Note parent datasets often contain more bands, some of which are not used in GeoMAD.Median Absolute Deviations (MADs) - 3 bands: Deviations from the geomedian are quantified through median absolute deviation calculations. The GeoMAD service utilises three MADs, each stored in a separate band: Euclidean MAD (EMAD), spectral MAD (SMAD), and Bray-Curtis MAD (BCMAD). Each MAD is calculated using the same ten bands as in the geomedian. SMAD and BCMAD are normalized ratios, therefore they are unitless and their values always fall between 0 and 1. EMAD is a function of surface reflectance but is neither a ratio nor normalized, therefore its valid value range depends on the number of bands used in the geomedian calculation - ten in GeoMAD.Count - 1 band: The number of clear satellite measurements of a pixel for that calendar year. This is around 20 for Landsat 8 annually, but doubles at areas of overlap between scenes. “Count” is not incorporated in either the geomedian or MADs calculations. It is intended for metadata analysis and data validation.ProcessingAll clear observations for the given time period are collated from the parent dataset. Cloudy pixels are identified and excluded. The geomedian and MADs calculations are then performed by the hdstats package. Annual GeoMAD datasets for the period use hdstats version 0.2.Known LimitationsThe Landsat 8 (& 9) GeoMAD has a known issue with data quality over marine regions. The GeoMAD algorithm uses pixel quality information from the input data to identify and mask pixels with poor quality obervations. Landsat 8 & 9 analysis ready satellite images over the ocean often contain negative surface reflectance values, and the GeoMAD masking procedures remove pixels where any negative values occur. Thus, in regions where pixels are persistently negative throughout the year, the GeoMAD product will contain a no-data value. An example of this can be seen in Image 7 below where a shallow marine system contains no-data values in the GeoMAD because the NIR band values in the input data are persistently negative.More details on this dataset can be found here.

Snapshot img

Satellite Internet Market Size 2025-2029

The satellite internet market size is forecast to increase by USD 7.61 billion at a CAGR of 19.7% between 2024 and 2029.

The market is experiencing significant growth driven by the increasing number of Internet of Things (IoT) devices and the ongoing deployment of 5G networks. The proliferation of IoT devices is expanding the scope of connectivity beyond traditional terrestrial networks, creating a demand for satellite internet solutions in remote and hard-to-reach areas. Furthermore, the integration of satellite internet with 5G networks is enabling seamless connectivity and enhancing the overall performance of these systems. However, the market is not without challenges. Weather conditions, particularly heavy rain and snow, can significantly impact satellite signal quality and disrupt service. To mitigate this issue, companies are investing in advanced technologies such as adaptive modulation and error correction to improve satellite internet reliability in adverse weather conditions. These investments, along with ongoing technological advancements, present opportunities for companies to capitalize on the growing demand for satellite internet and navigate the challenges effectively. Companies seeking to capitalize on these opportunities should focus on developing and reliable satellite internet solutions, while also addressing the impact of weather conditions on their services.

What will be the Size of the Satellite Internet Market during the forecast period?

Request Free SampleThe market encompasses the provision of high-speed connection networks through geostationary satellites, addressing the global connectivity needs of various industries and communities. This market continues to expand, driven by the digital divide and the growing demand for reliable communication capabilities in remote and underserved areas. With increasing bandwidth capabilities, satellite internet is becoming a viable alternative for businesses and individuals in regions with infrastructure challenges. The market is witnessing significant activity, with satellite operators investing in network management systems and international coordination to enhance service delivery. The satellite communication industry is also responding to the evolving needs of sectors such as education, healthcare, economic development, and social inclusion. Despite these advancements, challenges persist, including the impact of natural disasters on satellite infrastructure and the ongoing efforts to improve affordability and accessibility. Overall, the market is poised for continued growth, offering valuable solutions for enhancing global communication and connectivity.

How is this Satellite Internet Industry segmented?

The satellite internet industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments. TypeK-bandX-bandL-bandC-bandEnd-userCommercialNon-commercialGeographyNorth AmericaUSCanadaEuropeFranceGermanyRussiaUKAPACChinaIndiaJapanSouth AmericaBrazilMiddle East and Africa

By Type Insights

The k-band segment is estimated to witness significant growth during the forecast period.The K-band segment leads The market due to its extensive usage in defense, broadcasting, and security applications. The adoption of K-band monolithic microwave integrated circuit (MMIC) technology, which facilitates the production of low-noise amplifiers and K-band power amplifiers at a large scale, with cost efficiency and high durability, is fueling market growth. K-band frequency is primarily utilized for wireless broadband access in remote locations, including local-multipoint distribution systems (LMDS), fixed satellites, and digital point-to-point radio services. This technology addresses the connectivity needs of underserved regions and contributes to bridging the digital divide. The advancements in satellite technology, such as high-capacity satellite constellations and bandwidth capabilities, further boost the market's expansion. Satellite infrastructure plays a crucial role in disaster management, emergency response scenarios, and the delivery of digital services like healthcare and education in remote areas. Ensuring seamless connectivity, high-speed network connectivity, and coverage range are essential factors driving the demand for satellite internet. Additionally, satellite telecommunications providers are continually enhancing their network management systems, international coordination, and service offerings to cater to the evolving needs of businesses and communities.

Get a glance at the market report of share of various segments Request Free Sample

The K-band segment was valued at USD 919.00 billion in 2019 and showed a gradual increase during the forecast period.

R

What is SEPAL?

SEPAL (https://sepal.io/) is a free and open source cloud computing platform for geo-spatial data access and processing. It empowers users to quickly process large amounts of data on their computer or mobile device. Users can create custom analysis ready data using freely available satellite imagery, generate and improve land use maps, analyze time series, run change detection and perform accuracy assessment and area estimation, among many other functionalities in the platform. Data can be created and analyzed for any place on Earth using SEPAL.

https://data.apps.fao.org/catalog/dataset/9c4d7c45-7620-44c4-b653-fbe13eb34b65/resource/63a3efa0-08ab-4ad6-9d4a-96af7b6a99ec/download/cambodia_mosaic_2020.png" alt="alt text" title="Figure 1: Best pixel mosaic of Landsat 8 data for 2020 over Cambodia">

Figure 1: Best pixel mosaic of Landsat 8 data for 2020 over Cambodia

SEPAL reaches over 5000 users in 180 countries for the creation of custom data products from freely available satellite data. SEPAL was developed as a part of the Open Foris suite, a set of free and open source software platforms and tools that facilitate flexible and efficient data collection, analysis and reporting. SEPAL combines and integrates modern geospatial data infrastructures and supercomputing power available through Google Earth Engine and Amazon Web Services with powerful open-source data processing software, such as R, ORFEO, GDAL, Python and Jupiter Notebooks. Users can easily access the archive of satellite imagery from NASA, the European Space Agency (ESA) as well as high spatial and temporal resolution data from Planet Labs and turn such images into data that can be used for reporting and better decision making.

National Forest Monitoring Systems in many countries have been strengthened by SEPAL, which provides technical government staff with computing resources and cutting edge technology to accurately map and monitor their forests. The platform was originally developed for monitoring forest carbon stock and stock changes for reducing emissions from deforestation and forest degradation (REDD+). The application of the tools on the platform now reach far beyond forest monitoring by providing different stakeholders access to cloud based image processing tools, remote sensing and machine learning for any application. Presently, users work on SEPAL for various applications related to land monitoring, land cover/use, land productivity, ecological zoning, ecosystem restoration monitoring, forest monitoring, near real time alerts for forest disturbances and fire, flood mapping, mapping impact of disasters, peatland rewetting status, and many others.

The Hand-in-Hand initiative enables countries that generate data through SEPAL to disseminate their data widely through the platform and to combine their data with the numerous other datasets available through Hand-in-Hand.

https://data.apps.fao.org/catalog/dataset/9c4d7c45-7620-44c4-b653-fbe13eb34b65/resource/868e59da-47b9-4736-93a9-f8d83f5731aa/download/probability_classification_over_zambia.png" alt="alt text" title="Figure 2: Image classification module for land monitoring and mapping. Probability classification over Zambia">

Figure 2: Image classification module for land monitoring and mapping. Probability classification over Zambia

NEW GOES-19 Data!! On April 4, 2025 at 1500 UTC, the GOES-19 satellite will be declared the Operational GOES-East satellite. All products and services, including NODD, for GOES-East will transition to GOES-19 data at that time. GOES-19 will operate out of the GOES-East location of 75.2°W starting on April 1, 2025 and through the operational transition. Until the transition time and during the final stretch of Post Launch Product Testing (PLPT), GOES-19 products are considered non-operational regardless of their validation maturity level. Shortly following the transition of GOES-19 to GOES-East, all data distribution from GOES-16 will be turned off. GOES-16 will drift to the storage location at 104.7°W. GOES-19 data should begin flowing again on April 4th once this maneuver is complete.

NEW GOES 16 Reprocess Data!! The reprocessed GOES-16 ABI L1b data mitigates systematic data issues (including data gaps and image artifacts) seen in the Operational products, and improves the stability of both the radiometric and geometric calibration over the course of the entire mission life. These data were produced by recomputing the L1b radiance products from input raw L0 data using improved calibration algorithms and look-up tables, derived from data analysis of the NIST-traceable, on-board sources. In addition, the reprocessed data products contain enhancements to the L1b file format, including limb pixels and pixel timestamps, while maintaining compatibility with the operational products. The datasets currently available span the operational life of GOES-16 ABI, from early 2018 through the end of 2024. The Reprocessed L1b dataset shows improvement over the Operational L1b products but may still contain data gaps or discrepancies. Please provide feedback to Dan Lindsey (dan.lindsey@noaa.gov) and Gary Lin (guoqing.lin-1@nasa.gov). More information can be found in the GOES-R ABI Reprocess User Guide.


NOTICE: As of January 10th 2023, GOES-18 assumed the GOES-West position and all data files are deemed both operational and provisional, so no ‘preliminary, non-operational’ caveat is needed. GOES-17 is now offline, shifted approximately 105 degree West, where it will be in on-orbit storage. GOES-17 data will no longer flow into the GOES-17 bucket. Operational GOES-West products can be found in the GOES-18 bucket.

GOES satellites (GOES-16, GOES-17, GOES-18 & GOES-19) provide continuous weather imagery and monitoring of meteorological and space environment data across North America. GOES satellites provide the kind of continuous monitoring necessary for intensive data analysis. They hover continuously over one position on the surface. The satellites orbit high enough to allow for a full-disc view of the Earth. Because they stay above a fixed spot on the surface, they provide a constant vigil for the atmospheric "triggers" for severe weather conditions such as tornadoes, flash floods, hailstorms, and hurricanes. When these conditions develop, the GOES satellites are able to monitor storm development and track their movements. SUVI products available in both NetCDF and FITS.

The Nordics Satellite Imagery Services market, while a segment of a larger global market valued at $0.22 billion in 2025 and experiencing a Compound Annual Growth Rate (CAGR) of 13.62%, presents a compelling investment opportunity. Given the strong emphasis on sustainable development, precision agriculture, and robust infrastructure within the Nordic region, the demand for high-resolution satellite imagery is expected to surge. Key drivers include increasing government investments in infrastructure projects, rising adoption of precision farming techniques requiring detailed land-use data, and growing concerns about environmental monitoring and climate change impacts. Furthermore, advancements in sensor technology leading to higher resolution imagery and improved analytical capabilities are fueling market expansion. The market segmentation reveals significant opportunities within applications like geospatial data acquisition for mapping, natural resource management, and surveillance, with government and related sectors as the primary end-users. While challenges such as data security and privacy concerns may act as restraints, innovative solutions and stringent regulatory frameworks are likely to mitigate these risks. Considering the overall global market growth and the Nordic region's proactive approach to technological adoption and environmental sustainability, the Nordics Satellite Imagery Services market is poised for robust growth exceeding the global average CAGR. Specific growth within the region will likely be driven by the high concentration of advanced technology companies, a skilled workforce, and significant public and private investments in infrastructure modernization and environmental management. The market's structure also indicates opportunities for smaller, specialized firms focusing on niche applications and regional expertise, complementing the offerings of larger multinational corporations. The combination of robust market fundamentals and progressive government policies suggests a positive outlook for sustained growth throughout the forecast period (2025-2033). Recent developments include: May 2023 - Business Finland granted EUR 30 million (USD 32.75 million) loan funding for ICEYE's product development project based on innovative new sensor and space technology that will provide real-time and reliable information to support decision-making worldwide. The project aims to create a unique information and software platform, design and develop technology for next-generation satellites, and apply the high-accuracy information from satellites globally for natural catastrophe analysis, modeling, and decision-making., March 2023 - Norway's International Climate and Forest Initiative (NICFI) announced that NICFI's satellite data program is extended until September 2023. Norway's International Climate and Forest Initiative (NICFI) grant free access to high-resolution satellite imagery of the tropics to anyone, anywhere, to monitor tropical deforestation. Through Norway's International Climate & Forests Initiative, users can access the planet's high-resolution, analysis-ready satellite images of the world's tropics to help reduce and combat climate change and reverse the loss of tropical forests.. Key drivers for this market are: Increasing Demand among Various End-user Industries, notablly in Forestry Sector, Adoption of Big Data and Imagery Analytics. Potential restraints include: Increasing Demand among Various End-user Industries, notablly in Forestry Sector, Adoption of Big Data and Imagery Analytics. Notable trends are: Forestry and Agriculture is Analyzed to Hold Significant Market Share.

The Ontario Imagery Web Map Service (OIWMS) is an open data service available to everyone free of charge. It provides instant online access to the most recent, highest quality, province wide imagery. GEOspatial Ontario (GEO) makes this data available as an Open Geospatial Consortium (OGC) compliant web map service or as an ArcGIS map service. Imagery was compiled from many different acquisitions which are detailed in the Ontario Imagery Web Map Service Metadata Guide linked below. Instructions on how to use the service can also be found in the Imagery User Guide linked below.Note: This map displays the Ontario Imagery Web Map Service Source, a companion ArcGIS web map service to the Ontario Imagery Web Map Service. It provides an overlay that can be used to identify acquisition relevant information such as sensor source and acquisition date. OIWMS contains several hierarchical layers of imagery, with coarser less detailed imagery that draws at broad scales, such as a province wide zooms, and finer more detailed imagery that draws when zoomed in, such as city-wide zooms. The attributes associated with this data describes at what scales (based on a computer screen) the specific imagery datasets are visible.Available ProductsOntario Imagery OCG Web Map Service – public linkOntario Imagery ArcGIS Map Service – public linkOntario Imagery Web Map Service Source – public linkOntario Imagery ArcGIS Map Service – OPS internal linkOntario Imagery Web Map Service Source – OPS internal linkAdditional DocumentationOntario Imagery Web Map Service Metadata Guide (PDF)Imagery User Guide (Word)StatusCompleted: Production of the data has been completedMaintenance and Update FrequencyAnnually: Data is updated every yearContactOntario Ministry of Natural Resources, Geospatial Ontario, imagery@ontario.ca

The ESA SPOT 1-5 collection is a dataset of SPOT 1 to 5 Panchromatic and Multispectral products that ESA collected over the years. The HRV(IR) sensor onboard SPOT 1-4 provides data at 10 m spatial resolution Panchromatic mode (-1 band) and 20 m (Multispectral mode -3 or 4 bands). The HRG sensor on board of SPOT-5 provides spatial resolution of the imagery to < 3 m in the panchromatic band and to 10 m in the multispectral mode (3 bands). The SWIR band imagery remains at 20 m. The dataset mainly focuses on European and African sites but some American, Asian and Greenland areas are also covered. Spatial coverage: Check the spatial coverage of the collection on a map available on the Third Party Missions Dissemination Service. The SPOT Collection

This web map references the live tiled map service from the OpenStreetMap project. OpenStreetMap (OSM) is an open collaborative project to create a free editable map of the world. Volunteers gather location data using GPS, local knowledge, and other free sources of information such as free satellite imagery, and upload it. The resulting free map can be viewed and downloaded from the OpenStreetMap server: http://www.OpenStreetMap.org. See that website for additional information about OpenStreetMap. It is made available as a basemap for GIS work in Esri products under a Creative Commons Attribution-ShareAlike license.Tip: This service is one of the basemaps used in the ArcGIS.com map viewer and ArcGIS Explorer Online. Simply click one of those links to launch the interactive application of your choice, and then choose Open Street Map from the Basemap control to start using this service. You'll also find this service in the Basemap gallery in ArcGIS Explorer Desktop and ArcGIS Desktop 10.

The EUMETSAT Spinning Enhanced Visible and InfraRed Imager (SEVIRI) rapid scanning service (RSS) takes an image of the northern third of the Meteosat disc every five minutes (see the EUMETSAT website for more information on SEVIRI RSS ). The original EUMETSAT dataset contains data from 2008 to the present day from 12 channels, and for a wide geographical extent covering North Africa, Saudi Arabia, all of Europe, and Western Russia. This Google Cloud Dataset covers the full geographical extant, nearly full temporal extant, and all 12 channels up to the present. Some individual timesteps might be missing. This dataset is slightly transformed: It does not contain the original numerical values. See the "samples" section for more technical detail about the dataset. The original data is copyright EUMETSAT . EUMETSAT has given permission to redistribute this transformed data. The data was transformed by Open Climate Fix using satip . This public dataset is hosted in Google Cloud Storage and available free to use. Use this quick start guide to quickly learn how to access public datasets on Google Cloud Storage. Weitere Informationen

This layer presents detectable thermal activity from VIIRS satellites for the last 7 days. VIIRS Thermal Hotspots and Fire Activity is a product of NASA’s Land, Atmosphere Near real-time Capability for EOS (LANCE) Earth Observation Data, part of NASA's Earth Science Data.Consumption Best Practices:

As a service that is subject to very high usage, ensure peak performance and accessibility of your maps and apps by avoiding the use of non-cacheable relative Date/Time field filters. To accommodate filtering events by Date/Time, we suggest using the included "Age" fields that maintain the number of days or hours since a record was created or last modified, compared to the last service update. These queries fully support the ability to cache a response, allowing common query results to be efficiently provided to users in a high demand service environment.When ingesting this service in your applications, avoid using POST requests whenever possible. These requests can compromise performance and scalability during periods of high usage because they too are not cacheable.Source: NASA LANCE - VNP14IMG_NRT active fire detection - WorldScale/Resolution: 375-meterUpdate Frequency: Hourly using the aggregated live feed methodologyArea Covered: WorldWhat can I do with this layer?This layer represents the most frequently updated and most detailed global remotely sensed wildfire information. Detection attributes include time, location, and intensity. It can be used to track the location of fires from the recent past, a few hours up to seven days behind real time. This layer also shows the location of wildfire over the past 7 days as a time-enabled service so that the progress of fires over that timeframe can be reproduced as an animation.The VIIRS thermal activity layer can be used to visualize and assess wildfires worldwide. However, it should be noted that this dataset contains many “false positives” (e.g., oil/natural gas wells or volcanoes) since the satellite will detect any large thermal signal.Fire points in this service are generally available within 3 1/4 hours after detection by a VIIRS device. LANCE estimates availability at around 3 hours after detection, and esri livefeeds updates this feature layer every 15 minutes from LANCE.Even though these data display as point features, each point in fact represents a pixel that is >= 375 m high and wide. A point feature means somewhere in this pixel at least one "hot" spot was detected which may be a fire.VIIRS is a scanning radiometer device aboard the Suomi NPP, NOAA-20, and NOAA-21 satellites that collects imagery and radiometric measurements of the land, atmosphere, cryosphere, and oceans in several visible and infrared bands. The VIIRS Thermal Hotspots and Fire Activity layer is a livefeed from a subset of the overall VIIRS imagery, in particular from NASA's VNP14IMG_NRT active fire detection product. The downloads are automatically downloaded from LANCE, NASA's near real time data and imagery site, every 15 minutes.The 375-m data complements the 1-km Moderate Resolution Imaging Spectroradiometer (MODIS) Thermal Hotspots and Fire Activity layer; they both show good agreement in hotspot detection but the improved spatial resolution of the 375 m data provides a greater response over fires of relatively small areas and provides improved mapping of large fire perimeters.Attribute informationLatitude and Longitude: The center point location of the 375 m (approximately) pixel flagged as containing one or more fires/hotspots.Satellite: Whether the detection was picked up by the Suomi NPP satellite (N) or NOAA-20 satellite (1) or NOAA-21 satellite (2). For best results, use the virtual field WhichSatellite, redefined by an arcade expression, that gives the complete satellite name.Confidence: The detection confidence is a quality flag of the individual hotspot/active fire pixel. This value is based on a collection of intermediate algorithm quantities used in the detection process. It is intended to help users gauge the quality of individual hotspot/fire pixels. Confidence values are set to low, nominal and high. Low confidence daytime fire pixels are typically associated with areas of sun glint and lower relative temperature anomaly (<15K) in the mid-infrared channel I4. Nominal confidence pixels are those free of potential sun glint contamination during the day and marked by strong (>15K) temperature anomaly in either day or nighttime data. High confidence fire pixels are associated with day or nighttime saturated pixels.Please note: Low confidence nighttime pixels occur only over the geographic area extending from 11 deg E to 110 deg W and 7 deg N to 55 deg S. This area describes the region of influence of the South Atlantic Magnetic Anomaly which can cause spurious brightness temperatures in the mid-infrared channel I4 leading to potential false positive alarms. These have been removed from the NRT data distributed by FIRMS.FRP: Fire Radiative Power. Depicts the pixel-integrated fire radiative power in MW (MegaWatts). FRP provides information on the measured radiant heat output of detected fires. The amount of radiant heat energy liberated per unit time (the Fire Radiative Power) is thought to be related to the rate at which fuel is being consumed (Wooster et. al. (2005)).DayNight: D = Daytime fire, N = Nighttime fireHours Old: Derived field that provides age of record in hours between Acquisition date/time and latest update date/time. 0 = less than 1 hour ago, 1 = less than 2 hours ago, 2 = less than 3 hours ago, and so on.Additional information can be found on the NASA FIRMS site FAQ.Note about near real time data:Near real time data is not checked thoroughly before it's posted on LANCE or downloaded and posted to the Living Atlas. NASA's goal is to get vital fire information to its customers within three hours of observation time. However, the data is screened by a confidence algorithm which seeks to help users gauge the quality of individual hotspot/fire points. Low confidence daytime fire pixels are typically associated with areas of sun glint and lower relative temperature anomaly (<15K) in the mid-infrared channel I4. Medium confidence pixels are those free of potential sun glint contamination during the day and marked by strong (>15K) temperature anomaly in either day or nighttime data. High confidence fire pixels are associated with day or nighttime saturated pixels.RevisionsMarch 7, 2024: Updated to include source data from NOAA-21 Satellite.September 15, 2022: Updated to include 'Hours_Old' field. Time series has been disabled by default, but still available.July 5, 2022: Terms of Use updated to Esri Master License Agreement, no longer stating that a subscription is required!This layer is provided for informational purposes and is not monitored 24/7 for accuracy and currency.If you would like to be alerted to potential issues or simply see when this Service will update next, please visit our Live Feed Status Page!

The size of the Geospatial Imagery Analytics Market was valued at USD 12.97 billion in 2023 and is projected to reach USD 91.05 billion by 2032, with an expected CAGR of 32.1% during the forecast period. Geospatial Imagery Analytics increases market sizes when you talk to the industries - people discover more how right would be to use images--ads make the presentation of information about the customers. The fact would be that geospatial sources present geospatial imagery, including data from satellites and airborne vehicles, for advanced analytics, and these in particular extract information from niches using city planning, environmental monitoring and defense, and agriculture and disaster management. This brings about the tracking of changes occurring in landscapes, risk assessments as well as efficient operations. Worth mentioning among the driving forces mentioned would be the increasing geographic data demands articulated by industries, the availability of high-resolution satellite images, and the growth of Artificial Intelligence and machine learning and its relationship to big data resulting in easier processing and analysis of geographic data. Besides, drone and unmanned aerial vehicles (UAVs) are increasingly preferred for realtime-capturing audiovisuality and growth in market size. Recent developments include: In September 2023, SkyFi, a prominent provider of Earth observation data, is pleased to introduce a significant advancement in data accessibility through the simultaneous release of two groundbreaking products: open data and SkyFi Insights. SkyFi establishes itself as the global geospatial center with the introduction of open data and SkyFi Insights. Users will no longer face technological difficulties or jargon-laden hurdles when accessing crucial Earth observation information. SkyFi is a user-friendly web and mobile application that enables users to easily access and utilize geospatial knowledge. SkyFi has incorporated Sentinel 2 data into its platform, enabling the provision of free and accessible geospatial data in the field of satellite imaging. This integration promotes cooperation, creativity, and accessibility. SkyFi is the pioneering company that provides exclusive access to unfiltered satellite data via a mobile application, marking a significant milestone in history. By providing daily updated global imagery, users can effortlessly access a vast amount of valuable and free information, thereby removing the conventional obstacles to entrance. SkyFi plans to incorporate other satellite sources in order to further enhance its open data offerings., In December 2023, the UAE Space Agency initiated the operational phase of the Geo-Spatial Analytics Platform in collaboration with Bayanat. The platform will provide three essential services: enabling access to satellite imagery from international space agencies and top private companies, offering analytics reports generated by Artificial Intelligence (AI)-based algorithms, and hosting a market-place for space applications and AI Space-Based Models. These services will facilitate the attraction of prominent innovators, expedite the development process of space products, and contribute to the expansion of the UAE's economy. The implementation phase of the Geo-Spatial Analytics Platform is a crucial strategic move to enhance the UAE's standing as a prominent participant in the international space sector and promote sustainability. The platform will undoubtedly enhance our comprehension of Earth and climate alterations, as well as foster the advancement of scientific and technological capacities to mitigate these modifications.. Key drivers for this market are: Increasing Use of Location-Based Services, Huge Requirement of Geospatial Analytics for Security and Surveillance Applications; Development in Big Data Technology. Potential restraints include: Stringent Government Rules and Regulations for Using Geospatial Information. Notable trends are: integration with AI and Machine Learning Real-Time Analytics.