The geospatial data provider market, currently valued at $3788 million in 2025, is poised for significant growth, exhibiting a Compound Annual Growth Rate (CAGR) of 6.1% from 2025 to 2033. This expansion is driven by the increasing adoption of location intelligence across diverse sectors. Enterprises leverage geospatial data for optimizing logistics, enhancing customer experiences, and improving operational efficiency. Government agencies utilize it for infrastructure planning, resource management, and disaster response. The rising prevalence of IoT devices and the demand for precise location-based services are further fueling market growth. The market is segmented by application (Enterprises, Government, Others) and data type (Vector Data, Raster Data), with the enterprise segment expected to dominate due to high investments in technology and data analytics. The increasing availability of high-resolution satellite imagery and advancements in data processing technologies are key trends shaping the market. However, challenges such as data security concerns, high initial investment costs, and the need for specialized expertise could potentially restrain market growth. The North American region, particularly the United States, is expected to hold a substantial market share due to the presence of major geospatial data providers and high technological advancements. Europe and Asia Pacific are also projected to witness significant growth, driven by increasing government initiatives and private sector investments in digital infrastructure. The competitive landscape is characterized by a mix of established players like Esri and emerging companies offering innovative solutions. The market will likely witness increased mergers and acquisitions, strategic partnerships, and technological innovations in the coming years, focusing on areas like AI-powered geospatial analytics and the integration of geospatial data with other data sources to deliver actionable insights. The continued evolution of cloud computing and advancements in big data analytics will significantly impact the market's growth trajectory in the forecast period.

Quadrant provides Insightful, accurate, and reliable mobile location data.

Our privacy-first mobile location data unveils hidden patterns and opportunities, provides actionable insights, and fuels data-driven decision-making at the world's biggest companies.

These companies rely on our privacy-first Mobile Location and Points-of-Interest Data to unveil hidden patterns and opportunities, provide actionable insights, and fuel data-driven decision-making. They build better AI models, uncover business insights, and enable location-based services using our robust and reliable real-world data.

We conduct stringent evaluations on data providers to ensure authenticity and quality. Our proprietary algorithms detect, and cleanse corrupted and duplicated data points – allowing you to leverage our datasets rapidly with minimal processing or cleaning. During the ingestion process, our proprietary Data Filtering Algorithms remove events based on a number of both qualitative factors, as well as latency and other integrity variables to provide more efficient data delivery. The deduplicating algorithm focuses on a combination of four important attributes: Device ID, Latitude, Longitude, and Timestamp. This algorithm scours our data and identifies rows that contain the same combination of these four attributes. Post-identification, it retains a single copy and eliminates duplicate values to ensure our customers only receive complete and unique datasets.

We actively identify overlapping values at the provider level to determine the value each offers. Our data science team has developed a sophisticated overlap analysis model that helps us maintain a high-quality data feed by qualifying providers based on unique data values rather than volumes alone – measures that provide significant benefit to our end-use partners.

Quadrant mobility data contains all standard attributes such as Device ID, Latitude, Longitude, Timestamp, Horizontal Accuracy, and IP Address, and non-standard attributes such as Geohash and H3. In addition, we have historical data available back through 2022.

Through our in-house data science team, we offer sophisticated technical documentation, location data algorithms, and queries that help data buyers get a head start on their analyses. Our goal is to provide you with data that is “fit for purpose”.

Quadrant provides Insightful, accurate, and reliable mobile location data.

Our privacy-first mobile location data unveils hidden patterns and opportunities, provides actionable insights, and fuels data-driven decision-making at the world's biggest companies.

These companies rely on our privacy-first Mobile Location and Points-of-Interest Data to unveil hidden patterns and opportunities, provide actionable insights, and fuel data-driven decision-making. They build better AI models, uncover business insights, and enable location-based services using our robust and reliable real-world data.

We conduct stringent evaluations on data providers to ensure authenticity and quality. Our proprietary algorithms detect, and cleanse corrupted and duplicated data points – allowing you to leverage our datasets rapidly with minimal processing or cleaning. During the ingestion process, our proprietary Data Filtering Algorithms remove events based on a number of both qualitative factors, as well as latency and other integrity variables to provide more efficient data delivery. The deduplicating algorithm focuses on a combination of four important attributes: Device ID, Latitude, Longitude, and Timestamp. This algorithm scours our data and identifies rows that contain the same combination of these four attributes. Post-identification, it retains a single copy and eliminates duplicate values to ensure our customers only receive complete and unique datasets.

We actively identify overlapping values at the provider level to determine the value each offers. Our data science team has developed a sophisticated overlap analysis model that helps us maintain a high-quality data feed by qualifying providers based on unique data values rather than volumes alone – measures that provide significant benefit to our end-use partners.

Quadrant mobility data contains all standard attributes such as Device ID, Latitude, Longitude, Timestamp, Horizontal Accuracy, and IP Address, and non-standard attributes such as Geohash and H3. In addition, we have historical data available back through 2022.

Through our in-house data science team, we offer sophisticated technical documentation, location data algorithms, and queries that help data buyers get a head start on their analyses. Our goal is to provide you with data that is “fit for purpose”.

Comprehensive dataset containing 32 verified GPS supplier businesses in Austria with complete contact information, ratings, reviews, and location data.

Quadrant provides Insightful, accurate, and reliable mobile location data.

Our privacy-first mobile location data unveils hidden patterns and opportunities, provides actionable insights, and fuels data-driven decision-making at the world's biggest companies.

These companies rely on our privacy-first Mobile Location and Points-of-Interest Data to unveil hidden patterns and opportunities, provide actionable insights, and fuel data-driven decision-making. They build better AI models, uncover business insights, and enable location-based services using our robust and reliable real-world data.

We conduct stringent evaluations on data providers to ensure authenticity and quality. Our proprietary algorithms detect, and cleanse corrupted and duplicated data points – allowing you to leverage our datasets rapidly with minimal processing or cleaning. During the ingestion process, our proprietary Data Filtering Algorithms remove events based on a number of both qualitative factors, as well as latency and other integrity variables to provide more efficient data delivery. The deduplicating algorithm focuses on a combination of four important attributes: Device ID, Latitude, Longitude, and Timestamp. This algorithm scours our data and identifies rows that contain the same combination of these four attributes. Post-identification, it retains a single copy and eliminates duplicate values to ensure our customers only receive complete and unique datasets.

We actively identify overlapping values at the provider level to determine the value each offers. Our data science team has developed a sophisticated overlap analysis model that helps us maintain a high-quality data feed by qualifying providers based on unique data values rather than volumes alone – measures that provide significant benefit to our end-use partners.

Quadrant mobility data contains all standard attributes such as Device ID, Latitude, Longitude, Timestamp, Horizontal Accuracy, and IP Address, and non-standard attributes such as Geohash and H3. In addition, we have historical data available back through 2022.

Through our in-house data science team, we offer sophisticated technical documentation, location data algorithms, and queries that help data buyers get a head start on their analyses. Our goal is to provide you with data that is “fit for purpose”.

Comprehensive dataset containing 18 verified All in One locations in United States with complete contact information, ratings, reviews, and location data.

Comprehensive dataset containing 1 verified Common Service Center locations in United States with complete contact information, ratings, reviews, and location data.

Comprehensive dataset containing 22 verified We Care locations in United States with complete contact information, ratings, reviews, and location data.

Comprehensive dataset containing 3 verified Real state locations in United States with complete contact information, ratings, reviews, and location data.

Comprehensive dataset containing 33 verified Great Hill locations in United States with complete contact information, ratings, reviews, and location data.

Comprehensive dataset containing 28 verified Lot 12 locations in United States with complete contact information, ratings, reviews, and location data.

Comprehensive dataset containing 47 verified Pump It Up locations in United States with complete contact information, ratings, reviews, and location data.

Comprehensive dataset containing 199 verified On the Run locations in United States with complete contact information, ratings, reviews, and location data.

Comprehensive dataset containing 1 verified Trend Setter locations in United States with complete contact information, ratings, reviews, and location data.

Comprehensive dataset containing 2 verified Premium locations in AL with complete contact information, ratings, reviews, and location data.

Comprehensive dataset containing 1 verified Like locations in AL with complete contact information, ratings, reviews, and location data.

Comprehensive dataset containing 2 verified Block 8 locations in United States with complete contact information, ratings, reviews, and location data.

Comprehensive dataset containing 49 verified Round Island locations in United States with complete contact information, ratings, reviews, and location data.

Comprehensive dataset containing 91 verified North Creek locations in United States with complete contact information, ratings, reviews, and location data.

Comprehensive dataset containing 15 verified Santa Rosa locations in United States with complete contact information, ratings, reviews, and location data.