Managed PostGIS Services Market Outlook

As per our latest research, the managed PostGIS services market size reached USD 1.45 billion in 2024, reflecting robust adoption across diverse industries. The market is experiencing a strong upward trajectory, with a projected CAGR of 15.7% from 2025 to 2033. By 2033, the market is anticipated to achieve a value of USD 4.65 billion. The primary driver behind this impressive growth is the increasing demand for scalable, cloud-native spatial database solutions that support complex geospatial analytics, particularly as organizations seek to leverage location intelligence for digital transformation.

The growth of the managed PostGIS services market is fundamentally propelled by the exponential rise in geospatial data generation across sectors such as IT, telecommunications, government, and retail. As businesses and public sector agencies increasingly incorporate location-based analytics into their operations, the need for robust, managed spatial databases has become critical. Managed PostGIS services, built on the open-source PostgreSQL framework, offer advanced spatial data management capabilities that are essential for real-time mapping, asset tracking, and geographic information system (GIS) applications. This surge in spatial data is further amplified by the proliferation of IoT devices, mobile applications, and smart city initiatives, all of which require reliable, scalable, and secure geospatial data infrastructure. Organizations are turning to managed services to offload the complexity of maintaining and optimizing PostGIS environments, ensuring high availability and performance while focusing on core business functions.

Another significant growth factor is the rapid advancement and adoption of cloud computing technologies. Cloud-based managed PostGIS services enable organizations to deploy spatial databases with minimal upfront investment, offering flexible scalability and seamless integration with other cloud-native tools. This is particularly advantageous for small and medium enterprises (SMEs) that may lack the resources to maintain sophisticated on-premises infrastructure. The rise of hybrid deployment models, which combine the benefits of both cloud and on-premises solutions, is also contributing to market expansion. These models cater to organizations with stringent data residency, compliance, and security requirements, enabling them to leverage the agility of the cloud while retaining control over sensitive spatial data. As a result, managed PostGIS services are becoming a cornerstone of modern data architectures, supporting advanced analytics, machine learning, and AI-driven insights.

Furthermore, the increasing emphasis on data security, compliance, and disaster recovery is driving organizations to adopt managed PostGIS services. With stringent regulations governing data privacy and protection, especially in sectors like BFSI, healthcare, and government, enterprises are seeking managed service providers that offer robust security frameworks, automated backup and recovery, and comprehensive compliance support. Managed PostGIS services deliver these critical features, ensuring business continuity and mitigating the risk of data breaches or loss. The market is also benefiting from the growing demand for consulting, support, and value-added services, as organizations require specialized expertise to optimize their spatial database environments, migrate legacy systems, and implement best practices for geospatial data management.

Regionally, North America currently holds the largest share of the managed PostGIS services market, driven by widespread adoption across technology-driven industries and strong investment in digital transformation initiatives. Europe follows closely, with significant uptake in government, energy, and utilities sectors. Asia Pacific is emerging as the fastest-growing region, fueled by rapid urbanization, expanding IT infrastructure, and government-backed smart city projects. Latin America and the Middle East & Africa are also witnessing increasing demand, albeit at a slower pace, as organizations in these regions begin to recognize the value of managed geospatial database solutions for operational efficiency and decision-making.

Service Type Analysis

The service type segment of the managed PostGIS services market is highly diversified, encompassing database hosting, database management, consulting & support, backup & reco

Managed PostGIS Services Market Outlook

According to our latest research, the global managed PostGIS services market size reached USD 1.12 billion in 2024, reflecting robust demand across various industries for spatial database management solutions. The market is witnessing a strong growth trajectory, registering a CAGR of 13.4% from 2025 to 2033. By the end of 2033, the managed PostGIS services market is forecasted to achieve a valuation of USD 3.57 billion. This growth is primarily driven by the increasing adoption of geospatial data analytics, the proliferation of location-based services, and a rising emphasis on digital transformation across multiple sectors.

One of the foremost growth factors for the managed PostGIS services market is the surging demand for advanced geospatial analytics and spatial database management. Organizations across industries such as IT & telecom, government, BFSI, and healthcare are increasingly leveraging spatial data to drive business intelligence, optimize operations, and enhance customer engagement. The integration of PostGIS with PostgreSQL offers robust spatial and geographic object support, making it an attractive choice for enterprises seeking scalable and cost-effective solutions. Furthermore, as businesses continue to generate massive volumes of location-based data from IoT devices and mobile applications, the need for managed services that provide seamless database hosting, administration, and security is more pronounced than ever. This trend is expected to fuel sustained market growth over the forecast period.

Another significant driver is the shift towards cloud-based deployment models, which offer flexibility, scalability, and cost efficiencies. Managed PostGIS services delivered via the cloud enable organizations to reduce their IT overhead, streamline database management, and ensure high availability and disaster recovery. Cloud-based solutions also facilitate rapid deployment and integration with other cloud-native applications, supporting the growing trend of digital transformation. Moreover, the rise of hybrid work environments and remote operations has further accelerated the adoption of cloud-managed spatial databases, enabling organizations to manage and analyze geospatial data from anywhere, thereby enhancing operational agility and decision-making capabilities.

The managed PostGIS services market is also benefiting from the increasing focus on data security and regulatory compliance. With the proliferation of sensitive geospatial data, organizations are under pressure to ensure robust security protocols and adherence to data protection regulations. Managed service providers are responding by offering advanced security and compliance solutions, including encryption, access control, and automated backup and recovery. These services not only help organizations mitigate risks but also enable them to focus on their core business objectives without the burden of managing complex database environments. As regulatory requirements continue to evolve, the demand for managed PostGIS services that offer comprehensive security and compliance features is expected to rise.

From a regional perspective, North America currently dominates the managed PostGIS services market, driven by the presence of leading technology companies, high adoption of cloud-based solutions, and a strong focus on innovation. Europe and the Asia Pacific region are also witnessing significant growth, supported by increasing investments in smart city projects, digital infrastructure, and the expansion of the IT & telecom sector. Emerging markets in Latin America and the Middle East & Africa are gradually embracing managed PostGIS services as organizations in these regions recognize the value of spatial data analytics for business growth and operational efficiency. Overall, the global managed PostGIS services market is poised for substantial expansion, with diverse regional dynamics shaping its trajectory.

Service Type Analysis

The service type segment in the managed PostGIS services market is broadly cat

Since its inception in 1991, the Data Access & Support Center (DASC) has served as the State of Kansas Geographic Information System (GIS) data clearinghouse. Created as a center for the archiving and distribution of geospatial data, DASC has worked to expand its service portfolio over the years. While data archiving and distribution are still at the core of DASC's mission, DASC also provides various geospatial services, including web-based application development and hosting, database development and integration, state and local coordination, technical support, and local GIS data backup. These services support the Kansas GIS Initiative and complement state and local GIS activities. DASC continues to develop, maintain, and host GIS applications for numerous state agencies, including the Kansas 911 Coordinating Council, Kansas Department of Agriculture, Kansas Division of Emergency Management, Kansas Department of Revenue, Kansas State Department of Education, Kansas State Historical Society, Kansas Department of Transportation, Kansas Water Office, and the Kansas Department of Wildlife & Parks. The full Kansas geospatial catalog is administered by the Kansas Data Access & Support Center (DASC) and can be found at the following URL: https://hub.kansasgis.org/

Geo-Distributed Database Market Outlook

According to our latest research, the global Geo-Distributed Database Market size reached USD 13.4 billion in 2024, demonstrating robust expansion driven by increasing enterprise demand for scalable, high-availability data solutions. The market is forecasted to grow at a remarkable CAGR of 23.2% from 2025 to 2033, projecting the market size to reach approximately USD 98.5 billion by 2033. This impressive growth is primarily fueled by the rapid digital transformation across industries, the proliferation of data-intensive applications, and the need for real-time, globally accessible data management solutions.

One of the primary growth factors propelling the Geo-Distributed Database Market is the surging adoption of cloud-based services and the increasing need for real-time data accessibility across geographically dispersed locations. As organizations expand their operations globally, the demand for databases capable of ensuring low-latency access and data consistency across multiple regions has intensified. Enterprises in sectors such as banking, e-commerce, and telecommunications require robust geo-distributed database solutions to support mission-critical applications, disaster recovery, and regulatory compliance. Additionally, the rise of edge computing and the Internet of Things (IoT) has further accentuated the necessity for distributed databases that can seamlessly manage and synchronize data across various endpoints and data centers.

Another significant driver is the evolution of database technologies, including the advancement of SQL, NoSQL, and NewSQL architectures. These innovations have enabled organizations to process and analyze massive volumes of structured and unstructured data in real time, thereby enhancing business intelligence and operational efficiency. The integration of artificial intelligence (AI) and machine learning (ML) with geo-distributed databases has opened new avenues for predictive analytics, fraud detection, and personalized customer experiences. Furthermore, the growing emphasis on data sovereignty and compliance with regulations such as GDPR and CCPA has compelled enterprises to adopt solutions that offer granular control over data location and access, further boosting market growth.

The escalating threat landscape and the increasing frequency of cyber-attacks have also contributed to the adoption of geo-distributed databases. These solutions offer enhanced security features, including data encryption, multi-region failover, and automated backup mechanisms, which are critical for safeguarding sensitive information and ensuring business continuity. Moreover, the ongoing digital transformation in emerging economies, coupled with government initiatives to promote smart infrastructure and digital services, is expected to create substantial growth opportunities for market players over the forecast period.

From a regional perspective, North America currently dominates the Geo-Distributed Database Market, accounting for the largest revenue share in 2024. This dominance is attributed to the presence of leading technology providers, early adoption of advanced database solutions, and significant investments in cloud infrastructure. However, the Asia Pacific region is anticipated to witness the highest growth rate during the forecast period, driven by rapid digitalization, expanding IT sectors, and increasing demand for scalable data management solutions in countries such as China, India, and Japan. Europe also holds a substantial share, supported by stringent data protection regulations and the growing adoption of cloud-based services among enterprises.

Component Analysis

The Component segment of the Geo-Distributed Database Market is bifurcated into software and services, each playing a pivotal role in enabling seamless, distributed data management across global enterprises. The software component, which constitutes the core database management systems, has witnessed substantial growth owing to continuous innovation in database architectures and the integration of advanced features such as automated sharding, multi-region replication, and real-time data synchronization. Vendors are increasingly focusing on enhancing software capabilities to support hybrid and multi-cloud environments, thereby enabling organizations to achieve greater flexibility and scalability in their data operations. The proliferation of open-source geo-distributed database

Detailed, building -specific assessment of indoor mobile signal strength and propagation across all licensed mobile operators in a given country. Signal values are provided for each H3-12 hexagon inside the building (resolution approx. 20 x 20 meters). The data is presented in GIS-compatible formats such as gpkg and geojson. The data is obtained using crowdsourced data and advanced geo-spatial algorithms and includes data on the presence of indoor coverage systems. This data can be purchased on a building-by-building basis

Typical data use cases are in the following sectors: - B2B telecommunications: assess indoor coverage quality to optimise deployment of mobile-dependent network services (e.g. SD-WAN, mobile backup, etc..). - Mobile telecoms: Mobile operators and indoor coverage solution providers (e.g. DAS providers) can use this data to identify buildings and building owners for the deployment of indoor coverage systems - Commercial real estate and property: ascertain the quality of indoor mobile coverage to ensure that tenants can actually conduct business in your premises

911 Public Safety Answering Point (PSAP) service area boundaries in the United States According to the National Emergency Number Association (NENA), a Public Safety Answering Point (PSAP) is a facility equipped and staffed to receive 9-1-1 calls. The service area is the geographic area within which a 911 call placed using a landline is answered at the associated PSAP. This dataset only includes primary PSAPs. Secondary PSAPs, backup PSAPs, and wireless PSAPs have been excluded from this dataset. Primary PSAPs receive calls directly, whereas secondary PSAPs receive calls that have been transferred by a primary PSAP. Backup PSAPs provide service in cases where another PSAP is inoperable. Most military bases have their own emergency telephone systems. To connect to such a system from within a military base, it may be necessary to dial a number other than 9 1 1. Due to the sensitive nature of military installations, TGS did not actively research these systems. If civilian authorities in surrounding areas volunteered information about these systems, or if adding a military PSAP was necessary to fill a hole in civilian provided data, TGS included it in this dataset. Otherwise, military installations are depicted as being covered by one or more adjoining civilian emergency telephone systems. In some cases, areas are covered by more than one PSAP boundary. In these cases, any of the applicable PSAPs may take a 911 call. Where a specific call is routed may depend on how busy the applicable PSAPs are (i.e., load balancing), operational status (i.e., redundancy), or time of day / day of week. If an area does not have 911 service, TGS included that area in the dataset along with the address and phone number of their dispatch center. These are areas where someone must dial a 7 or 10 digit number to get emergency services. These records can be identified by a "Y" in the [NON911EMNO] field. This indicates that dialing 911 inside one of these areas does not connect one with emergency services. This dataset was constructed by gathering information about PSAPs from state level officials. In some cases, this was geospatial information; in other cases, it was tabular. This information was supplemented with a list of PSAPs from the Federal Communications Commission (FCC). Each PSAP was researched to verify its tabular information. In cases where the source data was not geospatial, each PSAP was researched to determine its service area in terms of existing boundaries (e.g., city and county boundaries). In some cases, existing boundaries had to be modified to reflect coverage areas (e.g., "entire county north of Country Road 30"). However, there may be cases where minor deviations from existing boundaries are not reflected in this dataset, such as the case where a particular PSAPs coverage area includes an entire county plus the homes and businesses along a road which is partly in another county. At the request of NGA, text fields in this dataset have been set to all upper case to facilitate consistent database engine search results. At the request of NGA, all diacritics (e.g., the German umlaut or the Spanish tilde) have been replaced with their closest equivalent English character to facilitate use with database systems that may not support diacritics.Homeland Security Use Cases: Use cases describe how the data may be used and help to define and clarify requirements. 1) A disaster has struck, or is predicted for, a locality. The PSAP that may be affected must be identified and verified to be operational. 2) In the event that the local PSAP is inoperable, adjacent PSAP locations could be identified and utilized.

911 Public Safety Answering Point (PSAP) service area boundaries in New Mexico According to the National Emergency Number Association (NENA), a Public Safety Answering Point (PSAP) is a facility equipped and staffed to receive 9-1-1 calls. The service area is the geographic area within which a 911 call placed using a landline is answered at the associated PSAP. This dataset only includes primary PSAPs. Secondary PSAPs, backup PSAPs, and wireless PSAPs have been excluded from this dataset. Primary PSAPs receive calls directly, whereas secondary PSAPs receive calls that have been transferred by a primary PSAP. Backup PSAPs provide service in cases where another PSAP is inoperable. Most military bases have their own emergency telephone systems. To connect to such system from within a military base it may be necessary to dial a number other than 9 1 1. Due to the sensitive nature of military installations, TGS did not actively research these systems. If civilian authorities in surrounding areas volunteered information about these systems or if adding a military PSAP was necessary to fill a hole in civilian provided data, TGS included it in this dataset. Otherwise military installations are depicted as being covered by one or more adjoining civilian emergency telephone systems. In some cases areas are covered by more than one PSAP boundary. In these cases, any of the applicable PSAPs may take a 911 call. Where a specific call is routed may depend on how busy the applicable PSAPS are (i.e. load balancing), operational status (i.e. redundancy), or time of date / day of week. If an area does not have 911 service, TGS included that area in the dataset along with the address and phone number of their dispatch center. These are areas where someone must dial a 7 or 10 digit number to get emergency services. These records can be identified by a "Y" in the [NON911EMNO] field. This indicates that dialing 911 inside one of these areas does not connect one with emergency services. This dataset was constructed by gathering information about PSAPs from state level officials. In some cases this was geospatial information, in others it was tabular. This information was supplemented with a list of PSAPs from the Federal Communications Commission (FCC). Each PSAP was researched to verify its tabular information. In cases where the source data was not geospatial, each PSAP was researched to determine its service area in terms of existing boundaries (e.g. city and county boundaries). In some cases existing boundaries had to be modified to reflect coverage areas (e.g. "entire county north of Country Road 30"). However, there may be cases where minor deviations from existing boundaries are not reflected in this dataset, such as the case where a particular PSAPs coverage area includes an entire county, and the homes and businesses along a road which is partly in another county. Text fields in this dataset have been set to all upper case to facilitate consistent database engine search results. All diacritics (e.g., the German umlaut or the Spanish tilde) have been replaced with their closest equivalent English character to facilitate use with database systems that may not support diacritics.

911 Public Safety Answering Point (PSAP) service area boundaries in Arkansas According to the National Emergency Number Association (NENA), a Public Safety Answering Point (PSAP) is a facility equipped and staffed to receive 9-1-1 calls. The service area is the geographic area within which a 911 call placed using a landline is answered at the associated PSAP. This dataset only includes primary PSAPs. Secondary PSAPs, backup PSAPs, and wireless PSAPs have been excluded from this dataset. Primary PSAPs receive calls directly, whereas secondary PSAPs receive calls that have been transferred by a primary PSAP. Backup PSAPs provide service in cases where another PSAP is inoperable. Most military bases have their own emergency telephone systems. To connect to such system from within a military base it may be necessary to dial a number other than 9 1 1. Due to the sensitive nature of military installations, TGS did not actively research these systems. If civilian authorities in surrounding areas volunteered information about these systems or if adding a military PSAP was necessary to fill a hole in civilian provided data, TGS included it in this dataset. Otherwise military installations are depicted as being covered by one or more adjoining civilian emergency telephone systems. In some cases areas are covered by more than one PSAP boundary. In these cases, any of the applicable PSAPs may take a 911 call. Where a specific call is routed may depend on how busy the applicable PSAPS are (i.e. load balancing), operational status (i.e. redundancy), or time of date / day of week. If an area does not have 911 service, TGS included that area in the dataset along with the address and phone number of their dispatch center. These are areas where someone must dial a 7 or 10 digit number to get emergency services. These records can be identified by a "Y" in the [NON911EMNO] field. This indicates that dialing 911 inside one of these areas does not connect one with emergency services. This dataset was constructed by gathering information about PSAPs from state level officials. In some cases this was geospatial information, in others it was tabular. This information was supplemented with a list of PSAPs from the Federal Communications Commission (FCC). Each PSAP was researched to verify its tabular information. In cases where the source data was not geospatial, each PSAP was researched to determine its service area in terms of existing boundaries (e.g. city and county boundaries). In some cases existing boundaries had to be modified to reflect coverage areas (e.g. â entire county north of Country Road 30â ). However, there may be cases where minor deviations from existing boundaries are not reflected in this dataset, such as the case where a particular PSAPs coverage area includes an entire county, and the homes and businesses along a road which is partly in another county. Text fields in this dataset have been set to all upper case to facilitate consistent database engine search results. All diacritics (e.g., the German umlaut or the Spanish tilde) have been replaced with their closest equivalent English character to facilitate use with database systems that may not support diacritics.