Top 50 Satellite Data Analytics

The startup develops business intelligence services that utilize synthetic aperture radar technology to analyze satellite data. It provides infrastructure that enables companies and research institutions to efficiently access and interpret satellite data, addressing the challenges of satellite utilization in various applications.

Develops a hyperspectral satellite constellation combined with AI-driven analytics to provide near-real-time global data on crop health, carbon sequestration, and environmental changes. This enables businesses, governments, and insurers to make informed decisions, optimize resource management, and improve risk assessment with sub-daily insights from 100 microsatellites by 2030.

Provides satellite-based remote sensing and machine learning solutions to deliver location-specific insights for agriculture, finance, infrastructure, and climate sectors. Enables precise crop monitoring, risk assessment, and resource management by integrating high-resolution satellite imagery with AI-driven analytics, supporting over 2 million farm loans and 500,000 insurance claims annually.

Spire operates a large, multipurpose satellite constellation to gather global data from space. The company delivers space-powered data and analytics solutions across aviation, weather, climate, and government sectors. These insights enable customers to enhance situational awareness, manage risks, and improve operational efficiency.

This company provides high-resolution Earth observation data and real-time analytics using AI-powered change detection and object identification. Their satellite and stratospheric imagery delivers precise geographic insights for monitoring infrastructure, assessing risk, and tracking environmental changes.

SkyFi operates an Earth intelligence platform providing streamlined access to diverse geospatial data, including commercial imagery, SAR, and open data. The platform integrates advanced analytics like object detection and stockpile measurement to transform raw datasets into actionable insights for various industries. Users benefit from simplified ordering processes, transparent pricing, and direct access to high-resolution data from multiple sensor providers.

The startup develops satellite data analysis technologies that utilize machine learning and artificial intelligence to generate precise maps of land cover, land cover change, and ecosystem carbon storage. This enables clients in both public and private sectors to monitor deforestation and support compliance with environmental regulations, facilitating informed decision-making for nature-based investments and forest restoration initiatives.

SpaceSense is an AI platform that simplifies the integration and analysis of satellite data, enabling data scientists and developers to create geospatial solutions rapidly and at scale. By automating data preparation and processing, it allows organizations to derive actionable insights from complex geospatial datasets without requiring specialized expertise.

Planet is an aerospace and data analytics company that designs and operates small satellites to monitor environmental changes on Earth. By providing high-resolution satellite imagery and data analytics, Planet enables organizations to track deforestation, urban development, and agricultural trends effectively.

The startup develops small satellites equipped with high-resolution optical sensors to capture frequent satellite imagery. Its platform automates data analysis for applications such as land surveying and environmental monitoring, enabling clients to efficiently process and utilize large datasets.

Connecting life in space to life on Earth.

The startup develops a geospatial mapping platform that utilizes artificial intelligence to automatically process and analyze satellite and aerial imagery. This technology enables clients to extract actionable insights and monitor environmental changes, enhancing decision-making in various industries reliant on earth observation data.

The startup develops satellite systems for high-resolution Earth observation, providing organizations with access to commercial satellite data for monitoring land use, wildlife, and climate change. This technology enables data-driven decision-making, allowing companies to create effective strategies for environmental management.

Provides satellite-based analytics for insurance companies to improve natural disaster risk assessment and response. By delivering high-resolution imagery and actionable insights, it reduces data inaccuracies, accelerates response times, and optimizes resource allocation during emergencies.

AskEarth provides an AI‑native platform that turns geospatial data, including satellite imagery, into instant, actionable insights without requiring technical expertise. Its GIA agent integrates with existing data sources and APIs, allowing users to query and visualize information through a chat‑driven map interface. The service helps organizations accelerate decision‑making by uncovering patterns and trends that might be missed by manual analysis.

Planetary Systems AI develops data flow solutions optimized for space-based operations. The company focuses on high-speed data processing and management within complex orbital environments. This technology enables efficient transmission and utilization of telemetry and sensor data from space assets.

StarWiz Technology Co., Ltd. manufactures optical and radar imaging satellites and utilizes machine learning algorithms to analyze high-resolution satellite data for accurate oil storage assessments. Their reports provide independent insights into crude oil inventory levels, enhancing decision-making for financial businesses engaged in energy trading.

Orbital Insight provides a geospatial analytics platform, TerraScope, that utilizes AI to process diverse data sources, including satellite imagery and IoT data, for real-time insights into supply chains, demographics, and geopolitical events. This technology enables organizations to anticipate changes and mitigate risks, enhancing decision-making across various sectors such as national security and real estate.

Sidus Space provides tailored Data-as-a-Service solutions for the space sector, utilizing satellite data analytics and remote sensing technologies. The company enables organizations to access and interpret critical space-derived data, enhancing decision-making and operational efficiency in various applications.

Develops small satellite constellations equipped with Synthetic Aperture Radar (SAR) payloads to capture high-resolution Earth observation data, unaffected by weather or daylight. Provides industries such as agriculture, finance, and energy with timely, geolocated insights for applications like environmental monitoring, resource management, and disaster response.

Xoople provides an enterprise‑grade API that delivers continuous, high‑resolution geospatial data from satellite observations, transformed into open, machine‑readable formats. The service gives large organizations and government agencies a real‑time, global baseline for AI training, risk analytics, and operational decision‑making across sectors such as infrastructure, agriculture, and logistics.

Xoople provides an enterprise‑grade API that delivers continuous, high‑resolution geospatial data from satellite observations, transformed into open, machine‑readable formats. The service gives large organizations and government agencies a real‑time, global baseline for AI training, risk analytics, and operational decision‑making across sectors such as infrastructure, agriculture, and logistics.

SpatialClues provides a platform that integrates satellite remote sensing, Earth observation, and robotic data collection to deliver real-time geospatial analytics for ecological and infrastructure planning. Its unified dashboard combines spatial engineering models, climate impact assessments, and network economics to help government agencies and large enterprises optimize resource allocation and predict future conditions.

EarthSavvy provides actionable insights derived from satellite data through an intuitive AI engine. Users can ask natural language questions to receive direct answers and automated analytics, eliminating the need for specialized data science expertise. The platform delivers real-time alerts, enabling proactive decision-making based on observed planetary changes.

LGND provides AI‑powered geospatial analytics that transform satellite imagery into searchable embeddings and actionable insights. Its no‑code Studio app lets analysts build and validate geospatial datasets, while the Discover app delivers localized insights by combining imagery with weather and points‑of‑interest data; developers can access the same capabilities via a scalable API and SDKs for integration into custom workflows. The platform is used for energy monitoring, environmental carbon reporting, and other Earth‑observation use cases, monetized through subscription and usage‑based pricing.

Hydrosat utilizes thermal infrared satellite technology and proprietary algorithms to provide field-level and regional analytics for irrigation and crop management. The company helps governments and farmers optimize water usage while increasing crop yields across millions of hectares globally.

Open Cosmos designs, builds, and operates low-earth orbit satellites, providing high-resolution satellite imagery and data through a shared satellite infrastructure. This enables organizations to access reliable insights for monitoring environmental changes and addressing challenges related to climate, energy, and natural resources.

Astra Ultra utilizes artificial intelligence algorithms to enhance space domain awareness by analyzing satellite data for real-time tracking of objects in orbit. This technology addresses the challenge of space debris management and collision avoidance, improving safety for satellite operations and space missions.

SkyCues provides high-resolution satellite imagery at 2.5m and 62.5cm pixel resolutions, updated every five days, suitable for machine learning analytics across various sectors such as agriculture and urban planning. The platform enhances existing satellite and aerial imagery by up to 400%, enabling precise data analysis and informed decision-making.

The startup develops nano-satellite constellations that deliver high-resolution satellite imagery through advanced design, integration, and testing processes. Their deep-learning-based analytics enhance data interpretation, providing clients with precise satellite images from compact space systems.

Tenchijin utilizes satellite data and its proprietary Tenchijin COMPASS platform to analyze and visualize environmental information for land evaluation. This technology enables businesses to make informed decisions regarding resource management and infrastructure development, optimizing the use of Earth's resources.

Cognitive Space provides an AI-powered platform for automated satellite constellation management, enabling operators to dynamically reschedule mission plans and optimize data collection in near real-time. The technology addresses the increasing complexity and operational demands of satellite operations, achieving up to 87% time savings per operator per week.

This company provides near real-time earth observation data derived from satellite imagery and GIS processing. Their service enables clients to monitor earth phenomena and perform impact assessments using interoperable data formats.

Amini utilizes artificial intelligence and satellite technology to collect and analyze environmental data across Africa, addressing the continent's significant data scarcity. The platform provides actionable insights for climate resilience, agricultural practices, and supply chain intelligence, enabling stakeholders to make informed decisions.

Albedo builds satellites that capture ultra-high resolution 10 cm visible imagery and 2 m thermal imagery, enabling organizations to monitor infrastructure, natural resources, and ecosystems from space. This technology provides timely, detailed insights for decision-making, addressing the need for accurate and actionable data in various sectors.

Astraea provides AI-driven data analysis tools that utilize Earth observation satellite imagery and LiDAR data to enhance site selection, construction monitoring, and risk assessment for renewable energy projects. The platform enables users to access high-resolution imagery and actionable insights, improving project efficiency and decision-making while reducing manual data processing time.

The startup offers a remote sensing geo technology platform that utilizes petabyte-scale deep learning engines to process high-resolution satellite imagery. This platform provides real-time data streams and insights, enabling companies to assess and manage risk effectively across various global locations.

The startup develops a satellite observation platform that utilizes earth observation satellite constellations to deliver geospatial data on rainfall, population density, and 3D surface area. This technology enables businesses to access critical space-based insights without the burden of significant capital investment.

Provides satellite-based infrastructure monitoring that detects millimeter-scale ground movements using AI-powered data processing. This system enables industries like transportation, utilities, and insurance to identify structural risks, improve safety, and reduce maintenance costs by monitoring vast areas and critical assets with unprecedented speed and accuracy.

EarthDaily Analytics utilizes Earth observation data and AI-driven analytics to provide precise change detection solutions for the agricultural sector. This technology enables stakeholders to monitor environmental impacts and make informed decisions regarding resource management and risk mitigation.

LeoStella designs and manufactures satellite propulsion systems and earth observation components, enabling real-time monitoring of critical changes on Earth. Their technology provides governments and businesses with timely insights for informed decision-making in response to national security and economic challenges.

KaleidEO provides Earth Observation Infrastructure-as-a-Service (EO-IaaS) through a fleet of four satellites, enabling businesses to extract maximum value from satellite imagery with daily data updates. The company addresses the challenge of inefficient data utilization by offering end-to-end solutions that enhance data insights and operational efficiency across various sectors.

GeoAI provides AI-powered geospatial analytics for industries like agriculture, energy, and security. Their platform integrates diverse sensor data to automatically identify and classify elements, offering insights for improved decision-making and operational efficiency.

Space DOTS provides a cloud-based platform for automated satellite imagery processing, transforming raw geospatial data into actionable intelligence. Its advanced algorithms enable efficient feature extraction and change detection for environmental monitoring and resource management.

The startup develops a geospatial data intelligence platform that integrates multispectral and hyperspectral satellite and drone imagery with machine learning algorithms for environmental and water body monitoring. This technology enables clients to efficiently track changes in ecosystems and agribusiness, providing actionable insights for sustainable management.

The startup develops a geospatial big-data platform that enables large-scale analysis of satellite imagery through the use of virtual synthetic data for training machine learning algorithms. This technology enhances the efficiency and accuracy of object detection and classification, allowing clients to process satellite data more effectively.

Marble Imaging is developing Europe's first commercial satellite constellation to provide very high-resolution (VHR) Earth Observation data with daily global coverage. The company offers analysis-ready data products and AI-powered analytics supporting sectors like security, infrastructure, and environmental monitoring. Their end-to-end system integrates co-designed satellites with advanced data processing for rapid decision support.

Satelligence utilizes satellite data analytics to monitor deforestation and track supply chain assets, enabling businesses to ensure compliance with deforestation-free commitments and reduce scope 3 emissions. Their platform provides real-time insights and traceability, helping companies measure sustainability progress and mitigate risks throughout their value chains.

The startup develops semi-autonomous satellite systems that utilize computer vision and machine learning to provide real-time insights from space. By enhancing data extraction and analysis capabilities, the company enables clients across various sectors, including IoT and biomedical, to maximize the utility of satellite information.

SkyServe provides an edge computing platform for satellites, enabling analytics companies to deploy applications for earth observation and other space-based solutions. Their technology allows for generating insights directly from satellite data, reducing latency and bandwidth costs.