Our Location Intelligence Data connects people's movements to over 14M physical locations globally. These are aggregated and anonymized data that are only used to offer context for the volume and patterns of visits to certain locations. This data feed is compiled from different data sources around the world.

Location Intelligence Data Reach: Location Intelligence data brings the POI/Place/OOH level insights calculated based on Factori’s Mobility & People Graph data aggregated from multiple data sources globally. To achieve the desired foot-traffic attribution, specific attributes are combined to bring forward the desired reach data. For instance, to calculate the foot traffic for a specific location, a combination of location ID, day of the week, and part of the day can be combined to give specific location intelligence data. There can be a maximum of 40 data records possible for one POI based on the combination of these attributes.

Data Export Methodology: Since we collect data dynamically, we provide the most updated data and insights via a best-suited method at a suitable interval (daily/weekly/monthly).

Use Case: Retail Analytics Platform: Location intelligence to analyze foot traffic patterns around retail stores, combining this data with customer profiles to gain insights into visitor demographics. These insights optimize store layouts, staffing, and product placements Marketing Campaign Optimization: Utilize location intelligence to analyze consumer behavior and preferences using geographical and demographic data for more effective audience segmentation and targeting. Emergency Response Planning Tool: To identify high-risk areas for natural disasters or emergencies and profiles to assess vulnerability and evacuation needs across different population segments Smart City Mobility Solution: Provide city planners and transportation authorities with insights to optimize transportation systems, alleviate congestion, and improve urban mobility for residents Event Planning and Venue Selection: Assists planners in selecting suitable venues that match the demographic profile and preferences of their audience

Data Attributes Included: Location ID n_visitors day_of_week distance_from_home do_date month part_of_day travelled_countries Visitor_country_origin Visitor_home_origin Visitor_work_origin year Carrier Brand Visited Place _Categories Geo _ behaviour make model OS_versions ratio_age_18_24 ratio_age_25_34 ratio_age_35_44 ratio_age_45_54 ratio_age_55_64 ratio_age_65 ratio_female ratio_male ratio_residents ratio_workers ratio_others

Our Location Intelligence Data provides a detailed view of people’s movements across over 14 million physical locations worldwide. This aggregated and anonymized data is utilized to understand visit patterns and volumes at specific sites. Compiled from diverse global data sources, this information offers valuable context for analyzing foot traffic and location engagement.

Location Intelligence Data Reach

Our Location Intelligence Data delivers in-depth insights into Points of Interest (POIs), places, and Out-of-Home (OOH) advertising locations.By leveraging Factori's Mobility & People Graph data, which integrates information from numerous sources globally, we provide accurate foot-traffic attribution. For instance, to calculate foot traffic at a specific location, we combine attributes such as location ID, day of the week, and time of day, generating up to 40 distinct data records for each POI.

Data Export Methodology

We dynamically gather and update data, delivering the most current insights through methods tailored to your needs, whether daily, weekly, or monthly.

Use Cases

Our Location Intelligence Data is essential for credit scoring, retail analytics, market intelligence, and urban planning, offering businesses and organizations critical insights for strategic decision-making and planning.

The Location Intelligence Analytics market is experiencing robust growth, driven by increasing adoption of location-based services across diverse sectors. The market size in 2025 is estimated at $15 billion, projected to expand at a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033. This significant growth is fueled by several key factors. The rising availability of granular location data from various sources, including GPS, mobile devices, and IoT sensors, is enabling businesses to gain deeper insights into customer behavior, optimize operations, and improve decision-making. Furthermore, advancements in analytics techniques, such as machine learning and AI, are enhancing the capabilities of location intelligence platforms, allowing for more sophisticated analysis and prediction. The growing adoption of cloud-based solutions is also contributing to market expansion, providing scalability and cost-effectiveness. Major industries like BFSI (Banking, Financial Services, and Insurance), Healthcare, and Retail are significantly contributing to this growth, leveraging location analytics for targeted marketing campaigns, risk management, and supply chain optimization. The market segmentation reveals strong growth across various sectors. BFSI utilizes location intelligence for fraud detection, branch optimization, and targeted financial services. Healthcare benefits from improved patient care, efficient resource allocation, and epidemiological analysis. The retail sector leverages location analytics for optimizing store locations, understanding customer foot traffic, and personalizing marketing strategies. Government and utility companies employ location analytics for infrastructure management, emergency response, and resource planning. The competitive landscape is characterized by a mix of established players, such as SAP, IBM, Oracle, and Microsoft, and specialized location intelligence vendors. These companies are constantly innovating to meet the evolving needs of businesses and enhance their offerings through strategic partnerships and acquisitions. The global spread of the market, with significant regional presence in North America, Europe, and Asia Pacific, indicates a widespread demand for location intelligence solutions.

Veridion's Location Intelligence Data Suite provides a comprehensive view of where and how businesses operate globally. It delivers granular, structured intelligence across more than 134 million active business entities in 249+ countries and territories. This extensive global coverage includes emerging markets and regions where data from other vendors may be limited. Veridion's data universe covers all companies with a digital footprint.

The Location Intelligence data identifies and maps all operational locations linked to a business, regardless of its legal entity structure. This includes differentiating between the Headquarters (HQ) and all secondary physical locations. Beyond HQs and standard branches, it covers a wide range of specific facility types, including manned and unmanned operational locations. These facilities can be classified into 100+ categories, such as office, factory, warehouse, or retail outlet.

The data also covers subsidiaries and field offices. Veridion is capable of identifying facility types mapped to companies through its granular taxonomy of business activities. Examples of identified facility types include those in energy and utilities (power plants, renewable energy installations, oil and gas facilities), manufacturing hubs, tech centers, supply chain nodes, and specialized facilities like data centers. The classification of facility types is provided across multiple levels of detail, currently supporting Level 1 (L1) in production. Planned enhancements for 2025 include expanding the taxonomy to include Level 2 (L2) with more than 100 unique values and Level 3 (L3) classifications for more precise categorization.

For each location, Veridion provides detailed attributes: - Full Address: Including Country, Region, City, Postcode, Street, and Street Number. - Geo-coordinates: Precise Latitude and Longitude. - Location Type: Classification into 100+ categories. - Operating Metrics: Includes estimated Employee counts and Revenue at the location level. - Business Descriptions & Activity Tags: Descriptions of what is happening at each specific site, including key operations and detailed activity tags. - Operational Status: Tracking whether a location is active or inactive. - Industry Classifications: Location-specific NAICS, SIC, ISIC, and proprietary classifications.

Veridion's location data is built from first-party disclosed information from public web sources such as company websites, social media, press releases, regulatory filings, geolocation services, and media reports. Advanced AI and Natural Language Processing (NLP) technologies are used to extract and structure this information. Proprietary AI models and custom infrastructure process billions of data points. Data triangulation and advanced correlation techniques are employed to tie signals to legal and commercial entities and connect entities across different geographies.

A key differentiator is the High-Frequency Updates. Veridion's entire dataset, including location data, is refreshed weekly. This ensures companies consistently have access to the most accurate and reliable information. Weekly updates capture changes in business locations, operations, address types, functions, and operational status with exceptional speed. Ad hoc updates can also be performed based on specific customer requests.

Data Quality and Accuracy are ensured through a robust, multi-faceted methodology. Veridion consolidates data from multiple sources, resolves data conflicts, and infers missing information. Data is cross-referenced against multiple structured company information sources. Each data point is assigned a confidence score, reflecting the number and reliability of sources used. Only data with sufficient certainty in its accuracy is included. AI-driven models actively detect inconsistencies and refine datasets. Reliability scores for location-level data are assigned based on evaluation of multiple sources. Veridion is developing a system to make these reliability scores directly accessible to customers.

Veridion's location data is linked to the company level. Every operational location is linked to its ultimate parent company, delivering a unified and scalable enterprise hierarchy. This enables cross-border visibility and accurate entity resolution. Location data can be appended with additional company data such as revenue, employees, business description, and ESG data. Since data is collected at the individual entity and facility level, it can be aggregated at portfolio levels without compromising granularity.

Veridion's detailed locational data is critical for various use cases, including: - Supply Chain Risk Management: Provides crucial insights into the geographical distribution of suppliers for risk assessment, compliance checks, and strategic planning. It allows mapping the entire supply chain to identify regions with higher risks, such as areas prone to natural disasters or geopolitical issues. P...

Location Intelligence & Business Intelligence Market size was valued at USD 9.7 billion 2023 and is projected to reach USD 26.4 billion by 2030, growing at a CAGR of 18.4% during the forecasted period 2024 to 2030.

Global Location Intelligence & Business Intelligence Market Drivers

Some of the major market forces are as follows:

Growing Volume of Spatial Data: The amount of geographic data is growing exponentially as a result of the widespread use of digital platforms, IoT sensors, and connected devices. Advanced LI and BI technologies are required to extract valuable insights from a variety of datasets as a result of this surge.

Rise of Location-based Services (LBS): The need for LI and BI solutions is fueled by the acceptance of location-based services in industries like retail, logistics, and transportation. Companies use location data to improve client experiences, streamline processes, and gain a competitive edge.

Need for Real-Time information: Businesses need to have access to actionable information in real-time in the hectic business world of today. Organizations can track activities, identify trends, and make wise decisions almost instantly when LI and BI systems have geographic capabilities.

Integration with Emerging Technologies: By combining LI and BI with cutting-edge technologies like augmented reality (AR), machine learning (ML), and artificial intelligence (AI), their analytical skills are improved. Predictive modeling, immersive data visualization, and advanced spatial analytics are made possible by these synergies.

Urbanization and Smart City Initiatives: The adoption of LI and BI solutions is fueled by the global trend toward urbanization as well as the growth of smart city initiatives. These methods are used by governments, urban planners, and municipalities to maximize resource allocation, infrastructure development, and city planning.

Cross-Industry Applications: Retail, healthcare, banking, and agriculture are just a few of the industries in which LI and BI solutions find use. The need for specific LI and BI solutions keeps growing as companies realize how important location-based insights are to spurring growth and innovation.

The Location Intelligence Market size was valued at USD 17 Billion in 2023 and is projected to reach USD 60.5 Billion by 2032, exhibiting a CAGR of 15.6 % during the forecasts period. Market for location intelligence is hence defined by the utilization of spatial data and analytical methods as a means to derive and draw information and conclusions from information with reference to place details. Some of the applicability of a big data include supply chain management for efficiency, improvement of customers’ satisfaction, decision of strategic locations and optimization of assets among others. Usage extends to such fields as retail, real estate services, transportation and logistics, as well as urban. control and planning. The existing trends include the combination of AI and machine learning with GIS, the massive use of IoT devices for obtaining real-time data, and the steadily high demand for location marketing. The market is guerrilla driven by growth in GIS, availability of portable devices such as tablets, smart phones, mapping for better decision making take essential over operating efficiency and competitiveness. Recent developments include: In July 2023, Trimble announced the launch of Trimble Terra Office add-in. This innovative solution is a function of Trimble's TerraOffice suite of desktop solutions for the incorporation of TerraFlex data collection software with the GIS systems of record, which highlights the crucial role of location intelligence capabilities. , In June 2023, Qualcomm Technologies, Inc. announced the launch of advanced IoT-driven satellite solutions for seamless remote monitoring & asset tracking. These solutions include the Qualcomm 9205S Modem and Qualcomm 212S Modem chipsets with satellite functionalities. , In May 2023, Autodesk unveiled Autodesk Forma for cloud-driven next-gen building design. With a continued expansion of capabilities, Autodesk Forma has the potential to further boost location intelligence in the architecture, engineering, construction, and operations industry by streamlining automation, data, and machine learning to optimize the design process and accomplish sustainable results. , In March 2023, HERE Technologies announced a multi-year strategic collaboration with Iteris. This strategy was aimed at combining a broader suite of HERE’s location-based services with ClearMobility Platform of Iteris, comprising HERE Maps, HERE Traffic Products, and HERE platform services. , In March 2023, Autodesk announced its plans to acquire The Wild with the intent to leverage Extended Reality (XR) technology in the architecture, engineering, and construction (AEC) industry. The XR technology in the AEC arena represents a proliferating trend in the location intelligence market, presenting innovative ways for professionals to interact with project models, enhance efficiency, and attain better outcomes in projects. .

The Geographic Information System (GIS) Analytics market is experiencing robust growth, projected to reach $15.10 billion in 2025 and maintain a Compound Annual Growth Rate (CAGR) of 12.41% from 2025 to 2033. This expansion is fueled by several key drivers. Increasing adoption of cloud-based GIS solutions enhances accessibility and scalability for diverse industries. The growing need for data-driven decision-making across sectors like retail, real estate, government, and telecommunications is a significant catalyst. Furthermore, advancements in artificial intelligence (AI) and machine learning (ML) integrated with GIS analytics are revolutionizing spatial data analysis, enabling more sophisticated predictive modeling and insightful interpretations. The market's segmentation reflects this broad adoption, with retail and real estate, government and utilities, and telecommunications representing key end-user segments, each leveraging GIS analytics for distinct applications such as location optimization, infrastructure management, and network planning. Competitive pressures are shaping the market landscape, with established players like Esri, Trimble, and Autodesk innovating alongside emerging tech companies focusing on AI and specialized solutions. The North American market currently holds a significant share, driven by early adoption and technological advancements. However, Asia-Pacific is expected to witness substantial growth due to rapid urbanization and increasing investment in infrastructure projects. Market restraints primarily involve the high cost of implementation and maintenance of advanced GIS analytics solutions and the need for skilled professionals to effectively utilize these technologies. However, the overall outlook remains extremely positive, driven by continuous technological innovation and escalating demand across multiple sectors. The future trajectory of the GIS analytics market hinges on several factors. Continued investment in research and development, especially in AI and ML integration, will be crucial for unlocking new possibilities. Furthermore, the simplification of GIS analytics software and the development of user-friendly interfaces will broaden accessibility beyond specialized technical experts. Growing data volumes from various sources (IoT, remote sensing) present both opportunities and challenges; efficient data management and analytics techniques will be paramount. The market's success also depends on addressing cybersecurity concerns related to sensitive geospatial data. Strong partnerships between technology providers and end-users will be vital in optimizing solution implementation and maximizing return on investment. Government initiatives promoting the use of GIS technology for smart city development and infrastructure planning will also play a significant role in market expansion. Overall, the GIS analytics market is poised for sustained growth, driven by technological advancements, increasing data availability, and heightened demand for location-based intelligence across a wide range of industries.

The ANZ Geospatial Analytics market, valued at $0.68 million in 2025, is projected to experience robust growth, driven by increasing adoption across diverse sectors. A Compound Annual Growth Rate (CAGR) of 9.13% from 2025 to 2033 indicates a significant expansion potential. Key drivers include the rising demand for precise location intelligence in agriculture (precision farming), utility management (network optimization), and infrastructure development (real estate and construction). Furthermore, advancements in data analytics techniques, particularly AI and machine learning, are enhancing the capabilities of geospatial analytics, leading to more insightful data analysis and improved decision-making. The market segmentation reveals strong demand across various verticals, with agriculture, utilities, and defense & intelligence leading the way. While data limitations prevent precise regional breakdowns for ANZ, the global trend suggests a significant market presence in Australia and New Zealand, supported by robust government initiatives and private sector investments in digital infrastructure. The presence of established players like CoreLogic NZ Limited and Esri Australia, alongside emerging innovative companies, contributes to the market’s dynamism and future potential. The forecast period (2025-2033) presents substantial opportunities for market expansion, particularly as businesses increasingly recognize the strategic value of location-based insights. Government initiatives promoting the use of geospatial data for better resource management, infrastructure planning, and disaster response are further catalyzing market growth. Challenges include data security concerns, integration complexities across different platforms, and the need for skilled professionals to handle and interpret geospatial data. However, the overall market outlook remains positive, fueled by ongoing technological advancements and a growing awareness of the benefits derived from geospatial analytics in driving operational efficiency and informed decision-making across diverse industry sectors within Australia and New Zealand. This report provides a detailed analysis of the Australia and New Zealand (ANZ) geospatial analytics market, offering invaluable insights for businesses operating or planning to enter this dynamic sector. With a study period spanning 2019-2033, a base year of 2025, and a forecast period of 2025-2033, this report offers a comprehensive overview of market size, trends, and future projections, valued in millions. The report leverages historical data (2019-2024) to paint a robust picture of market evolution. Recent developments include: January 2023: Ecopia AI (Ecopia) and Woolpert announced an expanded collaboration to map Australia's top metropolitan areas in 3D. The resulting vector maps will offer Woolpert's Asia-Pacific clients an accurate, detailed, and up-to-date foundational layer of geospatial data representing the dimensional world. As one of the leading geospatial services providers, Woolpert works with commercial and government organizations alike to map and analyze locations for strategic decision-making., September 2022: Wellington-based Geospatial data, technology, and analytics company Lynker Analytics announced that it had been selected by Toitū Te Whenua Land Information New Zealand in order to capture the building outlines from publicly owned aerial imagery over the next three years. Toitū Te Whenua Land Information New Zealand maintains a national open dataset of the building outlines extracted from multiple years of imagery captured through airborne sensors.. Key drivers for this market are: Growing Demand for Geospatial Analytics in Smart City Development and Urban Planning, Integration of Advanced Technologies such as AI and ML in Geospatial Analytics Solutions. Potential restraints include: Higher Costs Associated With Geospatial Analytics Solutions. Notable trends are: Agriculture Segment is Anticipated to Hold Significant Market Share.

Our Point Of Interest (POI) Data links people's movements to over 14 million physical locations worldwide. This aggregated and anonymized data provides context for visit volumes and patterns, compiled from diverse global sources.

Reach

We calculate POI, Place, and OOH level insights using Factori's Mobility & People Graph data from multiple sources. To attribute foot traffic accurately, we combine specific attributes such as location ID, day of the week, and time of day, yielding up to 40 possible data records for a single POI. This method ensures precise location intelligence data.

Data Export Methodology

Our dynamic data collection process ensures the most up-to-date information and insights are delivered at optimal intervals, whether daily, weekly, or monthly.

Use Cases

Point Of Interest (POI) Data is invaluable for credit scoring, retail analytics, market intelligence, and urban planning, providing a robust foundation for data-driven decision-making and strategic planning.

The geospatial services market is experiencing robust growth, driven by increasing demand for location-based intelligence across diverse sectors. Our analysis projects a market size of $150 billion in 2025, exhibiting a Compound Annual Growth Rate (CAGR) of 12% from 2025 to 2033. This expansion is fueled by several key factors. Firstly, the proliferation of smart devices and the Internet of Things (IoT) generates massive amounts of location data, requiring sophisticated geospatial analysis. Secondly, governments and businesses increasingly rely on geospatial data for informed decision-making in areas like urban planning, precision agriculture, environmental monitoring, and disaster response. Furthermore, advancements in technologies such as satellite imagery, LiDAR, and artificial intelligence are enhancing the accuracy, speed, and analytical capabilities of geospatial services. This translates into more efficient operations, cost savings, and the ability to address complex challenges with greater precision. The market segmentation reveals strong growth across all application areas. Agriculture benefits significantly from precision farming techniques enabled by geospatial data, optimizing resource utilization and yield. Research institutions and governmental bodies utilize geospatial services for extensive data analysis, contributing substantially to environmental studies and infrastructure development. The geographic distribution highlights significant contributions from North America and Europe, driven by robust technological adoption and substantial investments in the sector. However, rapid growth is also anticipated in the Asia-Pacific region, fueled by significant infrastructure development and increasing adoption of digital technologies in developing economies. While challenges such as data security concerns and the high cost of specialized equipment and software exist, the overall market outlook remains exceptionally positive, indicating strong potential for continued expansion and innovation in the coming years.

The Brazilian geospatial analytics market is experiencing robust growth, driven by increasing government investments in infrastructure projects, the expanding adoption of precision agriculture techniques, and the burgeoning need for advanced urban planning solutions. The market's Compound Annual Growth Rate (CAGR) of 7.33% from 2019 to 2024 indicates a significant upward trajectory. This growth is fueled by several key factors: the increasing availability of high-resolution satellite imagery and drone technology, providing richer data for analysis; the rising demand for real-time location intelligence across various sectors including defense, utilities, and transportation; and a growing awareness of the strategic value of geospatial data in improving operational efficiency and decision-making. Market segmentation reveals strong performance across sectors like agriculture (precision farming and resource management), utilities (network optimization and asset management), and government (urban planning and disaster response). While precise market sizing for Brazil in 2025 isn't explicitly provided, extrapolating from the CAGR and assuming a 2024 market size (which would need to be determined from external sources, given it's not included in the prompt), a reasonable estimate for the 2025 market size in millions can be calculated. Leading players such as Esri, Google, Hexagon, and Trimble are actively competing in this expanding market, alongside both local and international companies, indicating a competitive yet dynamic environment ripe for innovation and further growth. The forecast period (2025-2033) anticipates continued expansion, with growth potentially exceeding the historical CAGR due to technological advancements and increasing digitalization across various sectors. However, potential restraints include the need for robust data infrastructure and skilled professionals to effectively utilize geospatial analytics technologies. Overcoming these challenges will be crucial for sustained growth. Furthermore, the ongoing development of cloud-based geospatial analytics platforms and the integration of Artificial Intelligence (AI) and Machine Learning (ML) techniques are expected to further accelerate market growth in the coming years. This suggests that Brazil will become a major player in the Latin American geospatial analytics market. Specific challenges in the Brazilian market, such as varying levels of digital literacy across different user verticals, should be considered when analyzing the market's potential. Recent developments include: June 2023: Researchers from Brazil's National Space Research Institute (INPE) combined hydrodynamic models with models that forecast urban growth and changes in land use to develop a methodology that can identify flood-prone areas of cities, particularly those that are vulnerable to the effects of very heavy rainfall. The organization employed deep learning with extremely high-resolution spatial imagery., June 2023: PXGEO, a leading marine geophysical company, made an exciting announcement regarding its recent contract with Petrobras. The renowned Brazilian energy corporation has commissioned PXGEO to conduct a cutting-edge 3D ocean bottom node (OBN) study in the Campos Basin, Brazil. This project marks a significant step forward in the exploration and understanding of the region's offshore resources. According to PXGEO, the comprehensive survey is set to take place over an extensive period of ten months, delving deep into the ocean at an impressive depth of 2,300 meters.. Key drivers for this market are: Company Initiatives Coupled with Government Support to Drive the Market Growth, Increasing Demand for Location-Based Services. Potential restraints include: Company Initiatives Coupled with Government Support to Drive the Market Growth, Increasing Demand for Location-Based Services. Notable trends are: Company Initiatives Coupled with Government Support to Drive the Market Growth.

The Canada Geospatial Analytics market is experiencing robust growth, projected to reach $1.68 billion in 2025 and maintain a Compound Annual Growth Rate (CAGR) of 7.94% from 2025 to 2033. This expansion is fueled by increasing government investments in infrastructure development and digital transformation initiatives, alongside the rising adoption of geospatial technologies across diverse sectors. Key drivers include the need for precise location-based insights for improved decision-making in agriculture (precision farming), utility management (optimizing network infrastructure), and defense & intelligence (surveillance and security). The market's segmentation highlights the significant contributions of various end-user verticals, with agriculture, utilities, and defense sectors currently leading the demand. Growth in the adoption of advanced analytical techniques like network analysis and geovisualization are further accelerating market expansion. While data privacy concerns and the initial investment costs associated with implementing geospatial analytics solutions could act as potential restraints, the overall market outlook remains positive due to the increasing availability of high-resolution data and the development of user-friendly software platforms. The competitive landscape is dynamic, with established players like ESRI, Trimble, and Bentley Systems alongside emerging technology companies vying for market share, fostering innovation and driving further market growth. The significant expansion of the Canadian geospatial analytics market is underpinned by its strategic importance across various sectors. The integration of geospatial data with advanced analytics enables more efficient resource management, better infrastructure planning, and improved operational decision-making. The ongoing development of 5G networks and the proliferation of IoT devices will generate even larger volumes of location-based data, further fueling demand for advanced analytics capabilities. This continued growth will likely attract further investment in the Canadian geospatial technology sector, leading to an expansion of services and solutions available. The government's focus on sustainable development and smart city initiatives will also significantly contribute to the increasing adoption of geospatial analytics across various public and private sector organizations. The integration of Artificial Intelligence (AI) and Machine Learning (ML) techniques within geospatial analytics promises even more sophisticated applications in the future, shaping the landscape of this rapidly evolving market. Recent developments include: Febrauray 2023 : Together with its partner Esri Canada, the City of Guelph was chosen as the Canadian city to lead the creation of a new emergency services geographic information system (GIS) database. As Canada implements a modernized Next Generation 9-1-1 (NG9-1-1) emergency response system, this innovative partnership, which received USD 1.017 million in federal grant funding, will support crucial enhancements in public safety in Guelph and throughout the country., June 2022 : Industries require X and Y coordinates for place names in order to locate, map, and evaluate various other forms of valuable geospatial data. Users in a variety of industries want to transform incomplete addresses or place names into intelligence that can be used in real-world situations. Esri, the global leader in location intelligence, has teamed up with real estate data analytics provider LightBox to provide advanced geocoding solutions in Canada to meet this demand. Both ArcGIS Online and ArcGIS Platform users can use the service. The LightBox enhancement will enable more precise geocoding of addresses, subaddresses, and locations with multiple units for rooftop locations.. Key drivers for this market are: Increasing in Demand for Location Intelligence, Advancements of Big Data Analytics. Potential restraints include: Increasing in Demand for Location Intelligence, Advancements of Big Data Analytics. Notable trends are: Network Analysis is Expected to Hold Significant Share of the Market.

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Geospatial Analytics Market Size 2025-2029

The geospatial analytics market size is forecast to increase by USD 178.6 billion, at a CAGR of 21.4% between 2024 and 2029.

The market is experiencing significant growth, driven by the increasing adoption of geospatial analytics in sectors such as healthcare and insurance. This trend is fueled by the ability of geospatial analytics to provide valuable insights from location-based data, leading to improved operational efficiency and decision-making. Additionally, emerging methods in data collection and generation, including the use of drones and satellite imagery, are expanding the scope and potential of geospatial analytics. However, the market faces challenges, including data privacy and security concerns. With the vast amounts of sensitive location data being collected and analyzed, ensuring its protection is crucial for companies to maintain trust with their customers and avoid regulatory penalties. Navigating these challenges and capitalizing on the opportunities presented by the growing adoption of geospatial analytics requires a strategic approach from industry players. Companies must prioritize data security, invest in advanced analytics technologies, and collaborate with stakeholders to build trust and transparency. By addressing these challenges and leveraging the power of geospatial analytics, businesses can gain a competitive edge and unlock new opportunities in various industries.

What will be the Size of the Geospatial Analytics Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
Request Free SampleThe market continues to evolve, driven by the increasing demand for location-specific insights across various sectors. Urban planning relies on geospatial optimization and data enrichment to enhance city designs and improve infrastructure. Cloud-based geospatial solutions facilitate real-time data access, enabling location intelligence for public safety and resource management. Spatial data standards ensure interoperability among different systems, while geospatial software and data visualization tools provide valuable insights from satellite imagery and aerial photography. Geospatial services offer data integration, spatial data accuracy, and advanced analytics capabilities, including 3D visualization, route optimization, and data cleansing. Precision agriculture and environmental monitoring leverage geospatial data to optimize resource usage and monitor ecosystem health. Infrastructure management and real estate industries rely on geospatial data for asset tracking and market analysis. Spatial statistics and disaster management applications help mitigate risks and respond effectively to crises. Geospatial data management and quality remain critical as the volume and complexity of data grow. Geospatial modeling and interoperability enable seamless data sharing and collaboration. Sensor networks and geospatial data acquisition technologies expand the reach of geospatial analytics, while AI-powered geospatial analytics offer new opportunities for predictive analysis and automation. The ongoing development of geospatial technologies and applications underscores the market's continuous dynamism, providing valuable insights and solutions for businesses and organizations worldwide.

How is this Geospatial Analytics Industry segmented?

The geospatial analytics industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments. TechnologyGPSGISRemote sensingOthersEnd-userDefence and securityGovernmentEnvironmental monitoringMining and manufacturingOthersApplicationSurveyingMedicine and public safetyMilitary intelligenceDisaster risk reduction and managementOthersTypeSurface and field analyticsGeovisualizationNetwork and location analyticsOthersGeographyNorth AmericaUSCanadaEuropeFranceGermanyItalyUKAPACChinaIndiaJapanSouth AmericaBrazilRest of World (ROW)

By Technology Insights

The gps segment is estimated to witness significant growth during the forecast period.The market encompasses various applications and technologies, including geospatial optimization, data enrichment, location-based services (LBS), spatial data standards, public safety, geospatial software, resource management, location intelligence, geospatial data visualization, geospatial services, data integration, 3D visualization, satellite imagery, remote sensing, GIS platforms, spatial data infrastructure, aerial photography, route optimization, data cleansing, precision agriculture, spatial interpolation, geospatial databases, transportation planning, spatial data accuracy, spatial analysis, map projections, interactive maps, marketing analytics, d

GapMaps Foot Traffic Data uses location data on mobile phones sourced by Azira which is collected from smartphone apps when the users have given their permission to track their location. It can shed light on consumer visitation patterns (“where from” and “where to”), frequency of visits, profiles of consumers and much more.

Businesses can utilise foot traffic data to answer key questions including: - What is the demographic profile of customers visiting my locations? - What is my primary catchment? And where within that catchment do most of my customers travel from to reach my locations? - What points of interest drive customers to my locations (ie. work, shopping, recreation, hotel or education facilities that are in the area) ? - How far do customers travel to visit my locations? - Where are the potential gaps in my store network for new developments?
- What is the sales impact on an existing store if a new store is opened nearby? - Is my marketing strategy targeted to the right audience? - Where are my competitor's customers coming from?

Foot Traffic data provides a range of benefits that make it a valuable addition to location intelligence services including: - Real-time - Low-cost at high scale - Accurate - Flexible - Non-proprietary - Empirical

Azira have created robust screening methods to evaluate the quality of Foot Traffic data collected from multiple sources to ensure that their data lake contains only the highest-quality mobile location data.

This includes partnering with trusted location SDK providers that get proper end user consent to track their location when they download an application, can detect device movement/visits and use GPS to determine location co-ordinates.

Data received from partners is put through Azira's data quality algorithm discarding data points that receive a low quality score.

Use cases in Europe will be considered on a case to case basis.

The size of the North America Location Analytics market was valued at USD XXX Million in 2023 and is projected to reach USD XXX Million by 2032, with an expected CAGR of 16.32% during the forecast period.By Location Analytics, the gathering and analysation of data regarding certain areas so that insights might be retrieved to make decisions can be termed. In simpler terms, it is basically regarding several technologies and techniques, patterns and trends among people, places, and things for deeper understanding.Factors such as the advanced technological infrastructure, high mobile adoption, and a data-driven culture in North America explain its large share in the global location analytics market. Businesses in North America increasingly make use of location analytics for operations optimization, improving customer experiences, and competitive advantage. For example, retailers use location data to improve personalized offers and store location optimization, while transportation companies use it to optimize routes and improve logistics. Hence, as the volume and complexity of location data grow in volume and complexity, this will further spur innovation in and expansion of the North American location analytics market. Recent developments include: May 2023: SAP SE and Google Cloud are expanding their partnership to include a comprehensive open data offering aimed at simplifying the data landscape and unleashing the power of corporate data; it enables customers to create an end-to-end cloud that brings data from all over the enterprise ecosystem using SAP. Datashpere solution collaboration with Google’s data cloud so that businesses can view their entire data estate in real-time, February 2023: Esri has announced the Release of a New App to View and Analyze Global Land-Cover Easily Changes. The app is set up on the basis of a unique, online version of its global earth cover map using ESA's Sentinel2 satellite imagery. The app is easy to access and leverages the same geographic information system (GIS) technology behind the land-cover map.. Key drivers for this market are: Growing demand for geo-based marketing, Increasing use of location analytics market in the retail sector; Increasing Usage of Internet of Things. Potential restraints include: Lack of Robustness that Enterprises Desire for Their Data Centers, Including IT Management Features, Such as Availability and Security. Notable trends are: Retail Sector to Witness the Growth.

The Geospatial Data Fusion market is experiencing robust growth, driven by increasing demand for precise location intelligence across diverse sectors. The market, valued at approximately $15 billion in 2025, is projected to witness a Compound Annual Growth Rate (CAGR) of 12% from 2025 to 2033. This expansion is fueled by several key factors. The proliferation of Earth observation technologies, including satellite imagery and sensor data, provides a massive influx of raw data, necessitating sophisticated fusion techniques for actionable insights. Simultaneously, advancements in artificial intelligence (AI), particularly in computer vision and machine learning, are enhancing the accuracy and speed of data processing and analysis. The military and security sectors are significant contributors to market growth, utilizing geospatial data fusion for strategic planning, threat assessment, and real-time situational awareness. Furthermore, the rising adoption of cloud-based solutions (SaaS and PaaS) is streamlining data access, storage, and processing, further boosting market adoption. The market is segmented by application (Earth Observation and Space Applications, Computer Vision, Military, Security, Other) and deployment type (SaaS, PaaS), with SaaS currently dominating due to its accessibility and scalability. However, the market also faces some challenges. The high cost of data acquisition and processing can be a barrier to entry for smaller organizations. Data integration complexities, varying data formats, and ensuring data security are also crucial considerations. Despite these constraints, the market’s growth trajectory is expected to remain positive, propelled by continuous technological advancements, the increasing availability of geospatial data, and the growing need for precise location-based insights across various industries, ranging from urban planning and environmental monitoring to precision agriculture and disaster response. The competitive landscape features established players like Esri and emerging innovative companies like Geo Owl and Magellium, fostering healthy competition and driving innovation within the market.

The global 3D mapping and modeling market is expected to grow significantly in the next few years as demand increases for detailed and accurate representations of physical environments in three-dimensional space. Estimated to be valued at USD 38.62 billion in the year 2025, the market was expected to grow at a CAGR of 14.5% from 2025 to 2033 and was estimated to reach an amount of USD 90.26 billion by the end of 2033. The high growth rate is because of improvement in advanced technologies with the development of high-resolution sensors and methods of photogrammetry that make possible higher-resolution realistic and immersive 3D models.Key trends in the market are the adoption of virtual and augmented reality (VR/AR) applications, 3D mapping with smart city infrastructure, and increased architecture, engineering, and construction utilization of 3D models. Other factors are driving the growing adoption of cloud-based 3D mapping and modeling solutions. The solutions promise scalability, cost-effectiveness, and easy access to 3D data, thus appealing to business and organizations of all sizes. Recent developments include: Jun 2023: Nomoko (Switzerland), a leading provider of real-world 3D data technology, announced that it has joined the Overture Maps Foundation, a non-profit organization committed to fostering collaboration and innovation in the geospatial domain. Nomoko will collaborate with Meta, Amazon Web Services (AWS), TomTom, and Microsoft, to create interoperable, accessible 3D datasets, leveraging its real-world 3D modeling capabilities., May 2023: The Sanborn Map Company (Sanborn), an authority in 3D models, announced the development of a powerful new tool, the Digital Twin Base Map. This innovative technology sets a new standard for urban analysis, implementation of Digital Cities, navigation, and planning with a fundamental transformation from a 2D map to a 3D environment. The Digital Twin Base Map is a high-resolution 3D map providing unprecedented detail and accuracy., Feb 2023: Bluesky Geospatial launched the MetroVista, a 3D aerial mapping program in the USA. The service employs a hybrid imaging-Lidar airborne sensor to capture highly detailed 3D data, including 360-degree views of buildings and street-level features, in urban areas to create digital twins, visualizations, and simulations., Feb 2023: Esri, a leading global provider of geographic information system (GIS), location intelligence, and mapping solutions, released new ArcGIS Reality Software to capture the world in 3D. ArcGIS Reality enables site, city, and country-wide 3D mapping for digital twins. These 3D models and high-resolution maps allow organizations to analyze and interact with a digital world, accurately showing their locations and situations., Jan 2023: Strava, a subscription-based fitness platform, announced the acquisition of FATMAP, a 3D mapping platform, to integrate into its app. The acquisition adds FATMAP's mountain-focused maps to Strava's platform, combining with the data already within Strava's products, including city and suburban areas for runners and other fitness enthusiasts., Jan 2023: The 3D mapping platform FATMAP is acquired by Strava. FATMAP applies the concept of 3D visualization specifically for people who like mountain sports like skiing and hiking., Jan 2022: GeoScience Limited (the UK) announced receiving funding from Deep Digital Cornwall (DDC) to develop a new digital heat flow map. The DDC project has received grant funding from the European Regional Development Fund. This study aims to model the heat flow in the region's shallower geothermal resources to promote its utilization in low-carbon heating. GeoScience Ltd wants to create a more robust 3D model of the Cornwall subsurface temperature through additional boreholes and more sophisticated modeling techniques., Aug 2022: In order to create and explore the system's possibilities, CGTrader worked with the online retailer of dietary supplements Hello100. The system has the ability to scale up the generation of more models, and it has enhanced and improved Hello100's appearance on Amazon Marketplace.. Key drivers for this market are: The demand for 3D maps and models is growing rapidly across various industries, including architecture, engineering, and construction (AEC), manufacturing, transportation, and healthcare. Advances in hardware, software, and data acquisition techniques are making it possible to create more accurate, detailed, and realistic 3D maps and models. Digital twins, which are virtual representations of real-world assets or systems, are driving the demand for 3D mapping and modeling technologies for the creation of accurate and up-to-date digital representations.

. Potential restraints include: The acquisition and processing of 3D data can be expensive, especially for large-scale projects. There is a lack of standardization in the 3D mapping modeling industry, which can make it difficult to share and exchange data between different software and systems. There is a shortage of skilled professionals who are able to create and use 3D maps and models effectively.. Notable trends are: 3D mapping and modeling technologies are becoming essential for a wide range of applications, including urban planning, architecture, construction, environmental management, and gaming. Advancements in hardware, software, and data acquisition techniques are enabling the creation of more accurate, detailed, and realistic 3D maps and models. Digital twins, which are virtual representations of real-world assets or systems, are driving the demand for 3D mapping and modeling technologies for the creation of accurate and up-to-date digital representations..

GapMaps GIS Data by Azira uses location data on mobile phones sourced by Azira which is collected from smartphone apps when the users have given their permission to track their location. It can shed light on consumer visitation patterns (“where from” and “where to”), frequency of visits, profiles of consumers and much more.

Businesses can utilise GIS data to answer key questions including: - What is the demographic profile of customers visiting my locations? - What is my primary catchment? And where within that catchment do most of my customers travel from to reach my locations? - What points of interest drive customers to my locations (ie. work, shopping, recreation, hotel or education facilities that are in the area) ? - How far do customers travel to visit my locations? - Where are the potential gaps in my store network for new developments?
- What is the sales impact on an existing store if a new store is opened nearby? - Is my marketing strategy targeted to the right audience? - Where are my competitor's customers coming from?

Mobile Location data provides a range of benefits that make it a valuable GIS Data source for location intelligence services including: - Real-time - Low-cost at high scale - Accurate - Flexible - Non-proprietary - Empirical

Azira have created robust screening methods to evaluate the quality of Mobile location data collected from multiple sources to ensure that their data lake contains only the highest-quality mobile location data.

This includes partnering with trusted location SDK providers that get proper end user consent to track their location when they download an application, can detect device movement/visits and use GPS to determine location co-ordinates.

Data received from partners is put through Azira's data quality algorithm discarding data points that receive a low quality score.

Use cases in Europe will be considered on a case to case basis.

The ASEAN Geospatial Analytics Market, valued at approximately $0.14 Billion USD in 2025 (estimated based on the global market size of $0.68 Billion and considering ASEAN's significant share of the Asia-Pacific region), is poised for robust growth, projected to achieve a Compound Annual Growth Rate (CAGR) of 12.08% from 2025 to 2033. This expansion is fueled by several key drivers: increasing government investments in infrastructure development and smart city initiatives, rising adoption of precision agriculture techniques requiring advanced geospatial analysis, and the growing need for effective disaster management and environmental monitoring solutions across the region. Furthermore, the burgeoning telecommunications sector and the expanding use of IoT devices are generating substantial volumes of location-based data, providing ample fuel for the geospatial analytics market. Technological advancements, such as the proliferation of cloud-based GIS platforms and the enhanced capabilities of AI and machine learning algorithms in geospatial data processing, are further accelerating market growth. While data privacy concerns and the need for skilled professionals pose some challenges, the overall market outlook remains highly positive, indicating significant opportunities for businesses operating within the ASEAN geospatial analytics landscape. The market segmentation reveals significant opportunities within various sectors. Agriculture, with its dependence on precise land management and yield optimization, represents a substantial segment. Similarly, the utility and communication sectors are increasingly leveraging geospatial analytics for network optimization and infrastructure planning. Government agencies are key adopters for urban planning, resource management, and public safety applications. The defense and intelligence sector's use of geospatial intelligence for strategic decision-making also contributes significantly. While North America and Europe currently hold larger market shares globally, the ASEAN region's rapid economic development and increasing digitalization efforts suggest a trajectory of rapidly increasing market share within the coming decade. The presence of several key players, including both international and regional companies, signifies a competitive but dynamic market environment fostering innovation and service diversification. Recent developments include: March 2023: The Singapore Land Authority (SLA) announced a Memorandum of Understanding (MOU) with the Container Depot and Logistics Association (Singapore), or CDAS, to improve the routing of heavy vehicles. Under the two-year partnership, CDAS and SLA will utilize geospatial data such as road conditions and restrictions to enable the CDAS's member companies to route their heavy vehicles efficiently and safely., August 2022: Thaicom Public Company Limited, one of Asia's leading satellite operators, signed a strategic partnership agreement with US-based Orbital Insight Inc., a geospatial analytics and location intelligence technology company, to enable Thaicom to deliver leading data insights and intelligence services leveraging space-based technology and other sources with Orbital Insight Inc.'s geospatial analytics platform to its consumers in Thailand and the region.. Key drivers for this market are: Increase in Demand for Geospatial Analytics in Smart City Development and Urban Planning, Growth in 5G Deployment to Boost the Market Growth. Potential restraints include: Increase in Demand for Geospatial Analytics in Smart City Development and Urban Planning, Growth in 5G Deployment to Boost the Market Growth. Notable trends are: Agriculture Segment is Anticipated to Witness Significant Traction.

This data is based on the divvy cycling data for 2023, see https://divvy-tripdata.s3.amazonaws.com/index.html for the raw data, which we've compiled into a single dataset and and cleaned. The data contains information on over 5.5 million bike-share trips, including the following information on each trip: trip starting and ending time, trip start and end location, and the membership status of the rider. This analysis is my own project work and is not promoted by or affiliated with Divvy itself. This data is reproduced under the following license https://divvybikes.com/data-license-agreement.