Xverum’s Point of Interest (POI) Data is a comprehensive dataset containing 230M+ verified locations across 5000 business categories. Our dataset delivers structured geographic data, business attributes, location intelligence, and mapping insights, making it an essential tool for GIS applications, market research, urban planning, and competitive analysis.
With regular updates and continuous POI discovery, Xverum ensures accurate, up-to-date information on businesses, landmarks, retail stores, and more. Delivered in bulk to S3 Bucket and cloud storage, our dataset integrates seamlessly into mapping, geographic information systems, and analytics platforms.
🔥 Key Features:
Extensive POI Coverage: ✅ 230M+ Points of Interest worldwide, covering 5000 business categories. ✅ Includes retail stores, restaurants, corporate offices, landmarks, and service providers.
Geographic & Location Intelligence Data: ✅ Latitude & longitude coordinates for mapping and navigation applications. ✅ Geographic classification, including country, state, city, and postal code. ✅ Business status tracking – Open, temporarily closed, or permanently closed.
Continuous Discovery & Regular Updates: ✅ New POIs continuously added through discovery processes. ✅ Regular updates ensure data accuracy, reflecting new openings and closures.
Rich Business Insights: ✅ Detailed business attributes, including company name, category, and subcategories. ✅ Contact details, including phone number and website (if available). ✅ Consumer review insights, including rating distribution and total number of reviews (additional feature). ✅ Operating hours where available.
Ideal for Mapping & Location Analytics: ✅ Supports geospatial analysis & GIS applications. ✅ Enhances mapping & navigation solutions with structured POI data. ✅ Provides location intelligence for site selection & business expansion strategies.
Bulk Data Delivery (NO API): ✅ Delivered in bulk via S3 Bucket or cloud storage. ✅ Available in structured format (.json) for seamless integration.
🏆Primary Use Cases:
Mapping & Geographic Analysis: 🔹 Power GIS platforms & navigation systems with precise POI data. 🔹 Enhance digital maps with accurate business locations & categories.
Retail Expansion & Market Research: 🔹 Identify key business locations & competitors for market analysis. 🔹 Assess brand presence across different industries & geographies.
Business Intelligence & Competitive Analysis: 🔹 Benchmark competitor locations & regional business density. 🔹 Analyze market trends through POI growth & closure tracking.
Smart City & Urban Planning: 🔹 Support public infrastructure projects with accurate POI data. 🔹 Improve accessibility & zoning decisions for government & businesses.
💡 Why Choose Xverum’s POI Data?
Access Xverum’s 230M+ POI dataset for mapping, geographic analysis, and location intelligence. Request a free sample or contact us to customize your dataset today!
The VIIRS/JPSS2 Moderate Resolution Terrain Corrected Geolocation 6-Min L1 Swath 750 m, short-name VJ203MOD is the Joint Polar-orbiting Satellite System-2 (JPSS-2/NOAA-21) platform-based NASA Visible-Infrared Imaging-Radiometer Suite (VIIRS) L1 terrain-corrected geolocation product, and contains the derived line-of-sight (LOS) vectors for each of the 750-m moderate-resolution, or M-bands. The geolocation algorithm uses a number of inputs that include an Earth ellipsoid, geoid, and a digital terrain model along with the SNPP platform’s ephemeris and attitude data, and knowledge of the VIIRS sensor and satellite geometry. It produces geodetic coordinates (latitude and longitude), and related parameters for each VIIRS L1 pixel. The VJ203MOD product includes geodetic latitude, longitude, surface height above the geoid, solar zenith and azimuth angles, sensor zenith and azimuth angles, land/water mask, and quality flag for every pixel _location. VJ203MOD provides a fundamental input to derive a number of VIIRS M-band higher-level products.The J2 VIIRS geolocation underwent an on-orbit validation. Geolocation errors of about 350 m in the along-scan direction and about 165 m in the along-track direction were corrected for the image-resolution bands and moderate-resolution bands. The Day-Night band (DNB) geolocation error of about 2000 m was corrected. For more information and documents, visit LAADS product page at:https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/products/VJ203MOD
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The global Geographic Information Systems (GIS) Platform Market size is projected to reach remarkable heights with an estimated value of USD 12 billion in 2023 and is expected to balloon to over USD 25 billion by 2032, reflecting a robust Compound Annual Growth Rate (CAGR) of 8%. This impressive growth trajectory is largely driven by the increasing demand for location-based services across various industries, including urban planning, transportation, and agriculture. As the world becomes increasingly interconnected, the necessity for real-time location data and advanced mapping solutions has never been more crucial, thereby fuelling the expansion of the GIS platform market.
One significant growth factor for the GIS platform market is the rapid urbanization occurring on a global scale. With more than half of the world's population now living in urban areas, cities are becoming larger and more complex. This trend necessitates sophisticated urban planning solutions that can effectively map, analyze, and visualize urban growth patterns. GIS platforms provide critical tools that enable urban planners to make informed decisions about land use, transportation networks, and infrastructure development. By integrating geographic data with socio-economic data, GIS applications help cities manage resources more efficiently and sustainably, thus driving the market forward.
Another driver of growth in the GIS platform market is the escalating need for effective disaster management solutions. Natural disasters such as hurricanes, earthquakes, and floods are becoming more frequent and severe, posing significant challenges for governments and emergency services worldwide. GIS platforms enable authorities to predict, prepare for, and respond to these disasters more effectively by providing detailed maps and models that can simulate potential scenarios and outcomes. The ability to integrate real-time data with historical records allows emergency response teams to optimize resource allocation and logistics, minimizing the impact of disasters on human lives and infrastructure.
The transportation and logistics sector is also a significant contributor to the growth of the GIS platform market. As global trade and e-commerce continue to grow, the demand for efficient and reliable transportation networks is increasing. GIS platforms provide valuable insights into route optimization, traffic management, and supply chain logistics. By enabling companies to analyze geographic data, GIS applications help to reduce transportation costs, improve delivery times, and enhance overall supply chain efficiency. As businesses increasingly look to leverage location-based data to gain a competitive advantage, the GIS platform market is set to experience sustained growth.
The role of a GIS Controller is becoming increasingly vital as the GIS platform market expands. A GIS Controller is responsible for overseeing the integration and management of geographic data within an organization, ensuring that the data is accurate, up-to-date, and accessible. This role involves coordinating with various departments to implement GIS solutions that align with organizational goals and enhance decision-making processes. As organizations across industries recognize the value of geographic data, the demand for skilled GIS Controllers is on the rise. These professionals play a crucial role in optimizing the use of GIS technology, enabling organizations to leverage location-based insights for strategic advantage.
Regionally, North America is anticipated to dominate the GIS platform market due to its advanced technological infrastructure and high adoption rates among various industries. The presence of leading GIS service providers in this region further bolsters its market position. Additionally, Asia Pacific is projected to witness the fastest growth over the forecast period, driven by rapid urbanization and increasing government initiatives to integrate GIS technology into urban planning and disaster management. The Middle East & Africa and Latin America are also expected to emerge as lucrative markets, as these regions look to harness the potential of GIS platforms to address their unique geographic challenges and drive economic development.
The GIS platform market can be divided into three primary components: software, hardware, and services. Each of these segments plays a vital role in the overall functionality and adap
The Near Real Time (NRT) geolocation fields are calculated for each 1 km MODIS Instantaneous Field of Views (IFOV) for all orbits daily. The locations and ancillary information corresponds to the intersection of the centers of each IFOV from 10 detectors in an ideal 1 km band on the Earth's surface. A digital terrain model is used to model the Earth's surface. The main inputs are the spacecraft attitude and orbit, the instrument telemetry and the digital elevation model. The geolocation fields include geodetic Latitude, Longitude, surface height above geoid, solar zenith and azimuth angles, satellite zenith and azimuth angles, and a land/sea mask for each 1 km sample. Additional information is included in the header to enable the calculation of the approximate location of the center of the detectors of any of the 36 MODIS bands. This product is used as input by a large number of subsequent MODIS products, particularly the products produced by the Land team.The shortname for this product is MYD03.
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The Geographic Information Systems (GIS) Platform market is experiencing robust growth, projected to reach a market size of $4078.2 million in 2025. While the provided CAGR is missing, considering the widespread adoption of GIS across various sectors like government, utilities, and commercial businesses, coupled with advancements in cloud-based GIS and increasing demand for spatial analytics, a conservative estimate of the Compound Annual Growth Rate (CAGR) between 2025 and 2033 would be around 7-9%. This suggests a significant expansion of the market over the forecast period. Key drivers include the rising need for efficient resource management, improved infrastructure planning, precise location-based services, and the growing adoption of big data analytics combined with location intelligence. The market is segmented by type (Desktop GIS, Web Map Service GIS, Others) and application (Government & Utilities, Commercial Use), reflecting the diverse applications of GIS technology. Leading players like Environmental Systems Research Institute (Esri), Hexagon, Pitney Bowes, and SuperMap are shaping the market landscape through continuous innovation and strategic partnerships. The North American market currently holds a significant share due to high technology adoption and substantial investments in GIS infrastructure, but rapid growth is anticipated in Asia Pacific regions like China and India driven by urbanization and infrastructure development. The increasing availability of affordable high-resolution imagery and data fuels further expansion. The continued integration of GIS with other technologies like AI and IoT is expected to unlock new applications and further drive market growth. Challenges include the high initial investment costs for sophisticated GIS solutions, the need for skilled professionals to manage and interpret data, and ensuring data security and privacy. However, the benefits of improved decision-making, optimized resource allocation, and enhanced operational efficiency are expected to outweigh these challenges, contributing to the sustained expansion of the GIS Platform market throughout the forecast period. The market's future trajectory remains positive, fueled by technological advancements and the increasing reliance on location intelligence across various industries.
This dataset offers a comprehensive collection of Telegram users' geolocation data, including IP addresses, with full user consent, covering 50,000 records. This data is specifically tailored for use in AI, ML, DL, and LLM models, as well as applications requiring Geographic Data and Social Media Data. The dataset provides critical geospatial information, making it a valuable resource for developing location-based services, targeted marketing strategies, and more.
What Makes This Data Unique? This dataset is unique due to its focus on geolocation data tied to Telegram users, a platform with a global user base. It includes IP to Geolocation Data, offering precise geospatial insights that are essential for accurate geographic analysis. The inclusion of user consent ensures that the data is ethically sourced and legally compliant. The dataset's broad coverage across various regions makes it particularly valuable for AI and machine learning models that require diverse, real-world data inputs.
Data Sourcing: The data is collected through a network of in-app tasks across different mini-apps within Telegram. Users participate in these tasks voluntarily, providing explicit consent to share their geolocation and IP information. The data is collected in real-time, capturing accurate geospatial details as users interact with various Telegram mini-apps. This method of data collection ensures that the information is both relevant and up-to-date, making it highly valuable for applications that require current location data.
Primary Use-Cases: This dataset is highly versatile and can be applied across multiple categories, including:
IP to Geolocation Data: The dataset provides precise mapping of IP addresses to geographical locations, making it ideal for applications that require accurate geolocation services. Geographic Data: The geospatial information contained in the dataset supports a wide range of geographic analysis, including regional behavior studies and location-based service optimization. Social Media Data: The dataset's integration with Telegram users' activities provides insights into social media behaviors across different regions, enhancing social media analytics and targeted marketing. Large Language Model (LLM) Data: The geolocation data can be used to train LLMs to better understand and generate content that is contextually relevant to specific regions. Deep Learning (DL) Data: The dataset is ideal for training deep learning models that require accurate and diverse geospatial inputs, such as those used in autonomous systems and advanced geographic analytics. Integration with Broader Data Offering: This geolocation dataset is a valuable addition to the broader data offerings from FileMarket. It can be combined with other datasets, such as web browsing behavior or social media activity data, to create comprehensive AI models that provide deep insights into user behaviors across different contexts. Whether used independently or as part of a larger data strategy, this dataset offers unique value for developers and data scientists focused on enhancing their models with precise, consented geospatial data.
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In 2023, the global market size for Precise Geolocation Technology was valued at approximately $25 billion. Forecasting growth at a CAGR of 12% from 2024 to 2032, the market size is projected to reach around $56 billion by the end of the forecast period. This remarkable growth can be attributed to the increasing demand for advanced geolocation technologies in various sectors such as transportation, logistics, healthcare, and defense.
The growth of the Precise Geolocation Technology market is being driven by several key factors. One of the primary growth drivers is the surge in demand for enhanced navigation and tracking systems. With the advent of smart cities and the Internet of Things (IoT), there is a pressing need for more accurate and reliable geolocation data. This requirement is especially critical in sectors such as transportation and logistics, where precise tracking of goods and vehicles can lead to improved efficiency and reduced operational costs. Additionally, the proliferation of smartphones and wearable devices has further fueled the demand for geolocation technologies, as these devices often rely on GPS and other location-based services for functionality.
Another significant growth factor is the increased adoption of geolocation technologies in the healthcare sector. The ability to track and monitor patients, medical equipment, and pharmaceuticals in real-time can drastically improve the quality of care and patient outcomes. For instance, during the COVID-19 pandemic, precise geolocation technologies played a pivotal role in contact tracing and monitoring the movement of individuals in quarantine, thereby helping to control the spread of the virus. Furthermore, the integration of geolocation data with electronic health records (EHRs) and telemedicine platforms is expected to drive further adoption in the healthcare industry.
Technological advancements and innovations in geolocation technologies are also contributing to market growth. The development of more accurate and efficient Global Positioning System (GPS) satellites, the advent of Radio Frequency Identification (RFID) tags, and improvements in Wi-Fi and Bluetooth-based location services have significantly enhanced the precision and reliability of geolocation data. Additionally, the integration of these technologies with artificial intelligence (AI) and machine learning (ML) algorithms is enabling more sophisticated and predictive geolocation solutions. These advancements are not only improving the accuracy of geolocation data but also expanding its applications across various industries.
Regionally, North America holds a dominant position in the Precise Geolocation Technology market, driven by the presence of major technology companies and early adoption of advanced geolocation solutions. The region is expected to maintain its leadership during the forecast period, supported by continuous investments in research and development. Meanwhile, the Asia Pacific region is anticipated to witness the highest growth rate, fueled by the rapid digitalization, increasing smartphone penetration, and government initiatives to develop smart cities. Europe, Latin America, and the Middle East & Africa are also expected to experience significant growth, albeit at a relatively slower pace compared to North America and Asia Pacific.
The Precise Geolocation Technology market is segmented into hardware, software, and services. Each of these components plays a vital role in the functioning and deployment of geolocation systems. Hardware components include GPS devices, RFID tags, and other sensors that capture and transmit location data. The demand for advanced hardware components is driven by the need for more accurate and reliable geolocation data. As industries such as transportation and logistics, healthcare, and defense increasingly rely on real-time tracking and monitoring, the demand for robust and efficient hardware solutions is expected to rise. Additionally, advancements in hardware technology, such as the development of low-power and high-precision sensors, are further propelling market growth.
Software components encompass the various applications and platforms that process and analyze geolocation data. These include mapping and navigation software, geospatial analytics platforms, and location-based services (LBS) applications. The growing need for real-time data analysis and the ability to derive actionable insights from geolocation data are driving the demand for sophisticated software solutions. For instance, in the transportation an
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The Geospatial Analytics Market size was valued at USD 79.06 USD billion in 2023 and is projected to reach USD 202.74 USD billion by 2032, exhibiting a CAGR of 14.4 % during the forecast period. The growing adoption of location-based technologies and the increasing need for data-driven decision-making in various industries are key factors driving market growth. Geospatial analytics captures, produces and displays GIS (geographic information system)-maps and pictures that may be weather maps, GPS or satellite photos. The geospatial analysis as a tool works with state of art technology in every formats namely; the GPS, sensors that locates, social media, mobile devices, multi of the satellite imagery to produce data visualizations that are facilitating trend-finding in complex relations between people and places as well are the situations' understanding. Visualizations are depicted through the use of maps, graphs, figures, and cartograms that illustrate the entire historical picture as well as a current changing trend. This is why the forecast becomes more confident and the situation is anticipated better. Recent developments include: February 2024: Placer.ai and Esri, a Geographic Information System (GIS) technology provider, partnered to empower customers with enhanced analytics capabilities, integrating consumer behavior analysis. Additionally, the agreement will foster collaborations to unlock further features by synergizing our respective product offerings., December 2023: CKS and Esri India Technologies Pvt Ltd teamed up to introduce the 'MMGEIS' program, focusing on students from 8th grade to undergraduates, to position India as a global leader in geospatial technology through skill development and innovation., December 2023: In collaboration with Bayanat, the UAE Space Agency revealed the initiation of the operational phase of the Geospatial Analytics Platform during its participation in organizing the Space at COP28 initiatives., November 2023: USAID unveiled its inaugural Geospatial Strategy, designed to harness geospatial data and technology for more targeted international program delivery. The strategy foresees a future where geographic methods enhance the effectiveness of USAID's efforts by pinpointing development needs, monitoring program implementation, and evaluating outcomes based on location., May 2023: TomTom International BV, a geolocation technology specialist, expanded its partnership with Alteryx, Inc. Through this partnership, Alteryx will use TomTom’s Maps APIs and location data to integrate spatial data into Alteryx’s products and location insights packages, such as Alteryx Designer., May 2023: Oracle Corporation announced the launch of Oracle Spatial Studio 23.1, available in the Oracle Cloud Infrastructure (OCI) marketplace and for on-premises deployment. Users can browse, explore, and analyze geographic data stored in and managed by Oracle using a no-code mapping tool., May 2023: CAPE Analytics, a property intelligence company, announced an enhanced insurance offering by leveraging Google geospatial data. Google’s geospatial data can help CAPE create appropriate solutions for insurance carriers., February 2023: HERE Global B.V. announced a collaboration with Cognizant, an information technology, services, and consulting company, to offer digital customer experience using location data. In this partnership, Cognizant will utilize the HERE location platform’s real-time traffic data, weather, and road attribute data to develop spatial intelligent solutions for its customers., July 2022: Athenium Analytics, a climate risk analytics company, launched a comprehensive tornado data set on the Esri ArcGIS Marketplace. This offering, which included the last 25 years of tornado insights from Athenium Analytics, would extend its Bronze partner relationship with Esri. . Key drivers for this market are: Advancements in Technologies to Fuel Market Growth. Potential restraints include: Lack of Standardization Coupled with Shortage of Skilled Workforce to Limit Market Growth. Notable trends are: Rise of Web-based GIS Platforms Will Transform Market.
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Gowalla is a location-based social networking website where users share their locations by checking-in. The friendship network is undirected and was collected using their public API, and consists of 196,591 nodes and 950,327 edges. We have collected a total of 6,442,890 check-ins of these users over the period of Feb. 2009 - Oct. 2010.
Brightkite was once a location-based social networking service provider where users shared their locations by checking-in. The friendship network was collected using their public API, and consists of 58,228 nodes and 214,078 edges. The network is originally directed but we have constructed a network with undirected edges when there is a friendship in both ways. We have also collected a total of 4,491,143 checkins of these users over the period of Apr. 2008 - Oct. 2010.
Stanford Network Analysis Platform (SNAP) is a general purpose, high performance system for analysis and manipulation of large networks. Graphs consists of nodes and directed/undirected/multiple edges between the graph nodes. Networks are graphs with data on nodes and/or edges of the network.
The core SNAP library is written in C++ and optimized for maximum performance and compact graph representation. It easily scales to massive networks with hundreds of millions of nodes, and billions of edges. It efficiently manipulates large graphs, calculates structural properties, generates regular and random graphs, and supports attributes on nodes and edges. Besides scalability to large graphs, an additional strength of SNAP is that nodes, edges and attributes in a graph or a network can be changed dynamically during the computation.
SNAP was originally developed by Jure Leskovec in the course of his PhD studies. The first release was made available in Nov, 2009. SNAP uses a general purpose STL (Standard Template Library)-like library GLib developed at Jozef Stefan Institute. SNAP and GLib are being actively developed and used in numerous academic and industrial projects.
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A global reference dataset on cropland was collected through a crowdsourcing campaign implemented using Geo-Wiki. This reference dataset is based on a systematic sample at latitude and longitude intersections, enhanced in locations where the cropland probability varies between 25-75% for a better representation of cropland globally. Over a three week period, around 36K samples of cropland were collected. For the purpose of quality assessment, additional datasets are provided. One is a control dataset of 1793 sample locations that have been validated by students trained in image interpretation. This dataset was used to assess the quality of the crowd validations as the campaign progressed. Another set of data contains 60 expert or gold standard validations for additional evaluation of the quality of the participants. These three datasets have two parts, one showing cropland only and one where it is compiled per location and user. This reference dataset will be used to validate and compare medium and high resolution cropland maps that have been generated using remote sensing. The dataset can also be used to train classification algorithms in developing new maps of land cover and cropland extent.
Information which constitutes the geography or location of a land unit, farm, ranch or facility. This could include latitudinal/longitudinal points, boundaries, borders, addresses.
APISCRAPY, your premier provider of Map Data solutions. Map Data encompasses various information related to geographic locations, including Google Map Data, Location Data, Address Data, and Business Location Data. Our advanced Google Map Data Scraper sets us apart by extracting comprehensive and accurate data from Google Maps and other platforms.
What sets APISCRAPY's Map Data apart are its key benefits:
Accuracy: Our scraping technology ensures the highest level of accuracy, providing reliable data for informed decision-making. We employ advanced algorithms to filter out irrelevant or outdated information, ensuring that you receive only the most relevant and up-to-date data.
Accessibility: With our data readily available through APIs, integration into existing systems is seamless, saving time and resources. Our APIs are easy to use and well-documented, allowing for quick implementation into your workflows. Whether you're a developer building a custom application or a business analyst conducting market research, our APIs provide the flexibility and accessibility you need.
Customization: We understand that every business has unique needs and requirements. That's why we offer tailored solutions to meet specific business needs. Whether you need data for a one-time project or ongoing monitoring, we can customize our services to suit your needs. Our team of experts is always available to provide support and guidance, ensuring that you get the most out of our Map Data solutions.
Our Map Data solutions cater to various use cases:
B2B Marketing: Gain insights into customer demographics and behavior for targeted advertising and personalized messaging. Identify potential customers based on their geographic location, interests, and purchasing behavior.
Logistics Optimization: Utilize Location Data to optimize delivery routes and improve operational efficiency. Identify the most efficient routes based on factors such as traffic patterns, weather conditions, and delivery deadlines.
Real Estate Development: Identify prime locations for new ventures using Business Location Data for market analysis. Analyze factors such as population density, income levels, and competition to identify opportunities for growth and expansion.
Geospatial Analysis: Leverage Map Data for spatial analysis, urban planning, and environmental monitoring. Identify trends and patterns in geographic data to inform decision-making in areas such as land use planning, resource management, and disaster response.
Retail Expansion: Determine optimal locations for new stores or franchises using Location Data and Address Data. Analyze factors such as foot traffic, proximity to competitors, and demographic characteristics to identify locations with the highest potential for success.
Competitive Analysis: Analyze competitors' business locations and market presence for strategic planning. Identify areas of opportunity and potential threats to your business by analyzing competitors' geographic footprint, market share, and customer demographics.
Experience the power of APISCRAPY's Map Data solutions today and unlock new opportunities for your business. With our accurate and accessible data, you can make informed decisions, drive growth, and stay ahead of the competition.
[ Related tags: Map Data, Google Map Data, Google Map Data Scraper, B2B Marketing, Location Data, Map Data, Google Data, Location Data, Address Data, Business location data, map scraping data, Google map data extraction, Transport and Logistic Data, Mobile Location Data, Mobility Data, and IP Address Data, business listings APIs, map data, map datasets, map APIs, poi dataset, GPS, Location Intelligence, Retail Site Selection, Sentiment Analysis, Marketing Data Enrichment, Point of Interest (POI) Mapping]
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The global IP geolocation solution market size was valued at approximately USD 2.3 billion in 2023 and is expected to reach an estimated USD 6.8 billion by 2032, growing at a compound annual growth rate (CAGR) of around 12.7% during the forecast period. This impressive growth can be attributed to the increasing need for precise geolocation data for various applications, including fraud detection, content personalization, and geomarketing.
One of the primary growth factors driving the IP geolocation solution market is the rising demand for enhanced cybersecurity measures. With the proliferation of digital platforms and online services, the need for secure and accurate geolocation data has become crucial to counteract cyber threats such as fraud and identity theft. Organizations are increasingly deploying IP geolocation solutions to verify user locations and detect suspicious activities, thereby safeguarding sensitive information and maintaining trust among their users.
Another significant growth driver is the expanding adoption of IP geolocation solutions in digital marketing and advertising. Businesses are leveraging geolocation data to create targeted and personalized marketing campaigns, which are more effective in reaching the right audience. By understanding the geographical context of their users, companies can tailor their content and advertisements to match local preferences and trends, resulting in higher engagement and conversion rates. This trend is particularly evident in the retail sector, where location-based marketing is proving to be a game-changer.
The rise of remote work and online gaming has also contributed to the market's growth. With more people working from home and engaging in online gaming, the demand for reliable IP geolocation solutions has surged. These solutions help ensure compliance with regional regulations, optimize gaming experiences by reducing latency, and enhance user safety by preventing unauthorized access. Additionally, the growth of the e-commerce sector has necessitated the use of geolocation data to improve logistics and delivery services, further propelling market demand.
Regionally, North America holds a significant share in the IP geolocation solution market, primarily due to the presence of major technology companies and early adoption of advanced technologies. Europe and Asia Pacific are also witnessing substantial growth, driven by increased investments in digital infrastructure and rising awareness about the benefits of geolocation solutions. The Asia Pacific region, in particular, is expected to exhibit the highest growth rate during the forecast period, fueled by the rapid digital transformation and expanding internet user base in countries like China and India.
The IP geolocation solution market is segmented into software and services components. The software segment encompasses various geolocation software tools that are designed to provide precise location data based on IP addresses. This segment is expected to dominate the market due to the continuous advancements in software technology and the increasing deployment of IP geolocation software across various industries. These software solutions offer real-time location tracking, enhanced security features, and integration capabilities with other systems, making them indispensable for modern businesses.
On the other hand, the services segment includes professional services such as consulting, integration, and maintenance services. With the growing complexity of IP geolocation systems, businesses often require expert assistance to effectively implement and manage these solutions. Service providers offer valuable support in configuring geolocation tools, ensuring seamless integration with existing infrastructure, and providing ongoing maintenance to keep the systems running smoothly. The demand for these services is particularly high among small and medium enterprises (SMEs) that may lack the in-house expertise to handle geolocation solutions independently.
Moreover, the services segment is expected to witness significant growth due to the increasing trend of outsourcing geolocation-related tasks to specialized service providers. By outsourcing, businesses can focus on their core operations while leveraging the expertise of professionals to manage their geolocation needs. This trend is further driven by the rise of managed service providers (MSPs) that offer comprehensive geolocation solutions as part of their service portfolio, catering to the diverse requirem
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The size of the Active Geofencing Industry market was valued at USD XXX Million in 2023 and is projected to reach USD XXX Million by 2032, with an expected CAGR of 23.23% during the forecast period.Active geofencing is technology used to trigger action or notify a device for the entrance or exit from the pre-defined virtual boundary via the use of GPS, location-based services, or any other such mechanism. It differs from passive geofencing that waits for background location tracking and thus makes active geofencing more responsive and efficient.Active geofencing has many applications across a wide range of sectors. It can be used to send promotions to customers based on where they are when they walk into a store or in front of a particular product. It can be used in logistics for monitoring goods and vehicles to ensure on-time delivery and optimal routing. It can be used in asset management to monitor the location of valuable equipment and prevent theft or misuse. Active geofencing can also be used for personal safety, for example, to alert emergency contacts in case a person enters or leaves a safe zone. With a highly active geofencing industry that has been booming because of developments in location-based technologies and the growth of location-aware services, its significance in the world is seen to rise and shine in more aspects. Recent developments include: December 2023 : McDonald’s has announced the expanding its Ready on Arrival pilot which uses geofencing to alert employees when a mobile order customer is nearing the restaurant so they can get the customer’s food ready to its top six markets by 2025, July 2023: Radar Labs Inc. has announced the newest addition to Maps Platform, Routr Matching API; tracked locations from mobile devices or GPS units are often fuzzy and imprecise. Tracing driving or walking paths along roads and performing accurate mileage calculations is challenging. The all-in-one location platform has a full-featured Maps Platform and a Geofencing platform.. Key drivers for this market are: Increased Use of Spatial Data and Improved Real-time Location Technology, Higher Adoption of Location-based Application among Consumers. Potential restraints include: Rising Awareness Regarding Safety and Security among Consumers of Location Tracking. Notable trends are: Retail Segment to Witness Significant Growth.
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The global location intelligence platforms market size was valued at approximately USD 12.5 billion in 2023 and is projected to reach USD 36.8 billion by 2032, exhibiting a compound annual growth rate (CAGR) of 13.1% during the forecast period. The growth of this market can be attributed to the increasing adoption of location-based services across various industries, technological advancements in geographic information system (GIS) technologies, and the rising demand for spatial analytics to enhance business decision-making.
One of the primary growth factors driving the location intelligence platforms market is the rapid advancement in IoT and connected devices. As businesses increasingly rely on real-time data from connected devices, the need for precise location-based data becomes crucial for operational efficiency. The proliferation of smart cities and smart infrastructure projects is further propelling the demand for sophisticated location intelligence solutions. These platforms enable city planners and administrators to optimize urban planning, enhance public safety, and improve service delivery, thereby contributing to the marketÂ’s expansion.
Another significant driver is the growing emphasis on personalized marketing strategies. Retailers and marketers are leveraging location intelligence platforms to gain insights into consumer behavior, preferences, and movement patterns. By analyzing location data, companies can tailor their marketing efforts to target specific demographics more effectively, thereby increasing customer engagement and driving sales. The integration of AI and machine learning technologies with location intelligence platforms is further enhancing the accuracy and predictive capabilities of these solutions, making them indispensable tools for modern businesses.
The rise in remote working and the need for efficient asset and workforce management are also fueling the demand for location intelligence platforms. Organizations are adopting these solutions to monitor and manage their distributed assets, optimize workforce deployment, and ensure compliance with safety regulations. The ability to track and analyze the location of assets and personnel in real-time enhances operational efficiency, reduces costs, and improves overall productivity. This trend is particularly evident in industries such as transportation and logistics, where precise location data is critical for optimizing routes and ensuring timely deliveries.
Geo-Marketing is emerging as a transformative force within the realm of location intelligence platforms. By leveraging geographic data, businesses can enhance their marketing strategies to target specific audiences based on their location. This approach not only improves the precision of marketing campaigns but also increases customer engagement by delivering personalized content. As companies continue to seek innovative ways to connect with their customers, the integration of Geo-Marketing into location intelligence platforms is becoming increasingly prevalent. This trend is particularly evident in sectors such as retail and real estate, where understanding consumer location and behavior is crucial for success. The ability to analyze geographic data for marketing purposes is thus a key driver of growth in the location intelligence platforms market.
Regionally, North America holds a significant share of the location intelligence platforms market, driven by the presence of major technology companies, high adoption rates of advanced technologies, and substantial investments in smart city projects. The Asia Pacific region is expected to witness the highest growth rate during the forecast period, owing to the rapid urbanization, increasing adoption of IoT technologies, and government initiatives to develop smart infrastructure. Europe also presents lucrative opportunities for market growth, with countries like Germany, the UK, and France investing heavily in digital transformation and smart city initiatives.
The location intelligence platforms market by component is segmented into software and services. The software segment includes various solutions such as GIS software, geospatial analytics, and spatial data visualization tools. This segment is experiencing significant growth due to the increasing demand for advanced analytics and visualization capabilities. Organizations are leveraging GIS software to integrate and analyze spatial data, enabling them to
The Near Real Time (NRT) VIIRS/JPSS2 Imagery Resolution Terrain Corrected Geolocation 6-Min L1 Swath, short-name VJ203IMG_NRT is the Joint Polar-orbiting Satellite System-2 (JPSS-2/NOAA-21) platform-derived NASA VIIRS L1 terrain-corrected geolocation product and contains the derived line-of-sight (LOS) vectors for each of the 375-m image-resolution or I-bands. The geolocation algorithm uses a number of inputs that include an Earth ellipsoid, geoid, and a digital terrain model along with the SNPP platform's ephemeris and attitude data, and knowledge of the VIIRS sensor and satellite geometry. It produces geodetic coordinates (latitude and longitude), and related parameters for each VIIRS L1 pixel. The VJ203IMG product includes geodetic latitude, longitude, surface height above the geoid, solar zenith and azimuth angles, sensor zenith and azimuth angles, land/water mask, and quality flag for every pixel location. VJ203IMG provides a fundamental input to derive a number of VIIRS I-band higher-level products.The J2 VIIRS geolocation underwent an on-orbit validation. Geolocation errors of about 350 m in the along-scan direction and about 165 m in the along-track direction were corrected for the image-resolution bands and moderate-resolution bands. The Day-Night band (DNB) geolocation error of about 2000 m was corrected. Further, the geolocation biases in the scan profile were also corrected. All these corrections bring the geolocation uncertainties for the J2 L1 products to within 75 m (1-sigma) in both the along-scan and along-track directions.
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The Location Intelligence Data Solution market is experiencing robust growth, projected to reach $1013.3 million in 2025 and maintain a Compound Annual Growth Rate (CAGR) of 8.8% from 2025 to 2033. This expansion is driven by several key factors. Increasing reliance on data-driven decision-making across industries like retail, logistics, and finance fuels the demand for location-based insights. Furthermore, advancements in technologies such as GPS, GIS, and big data analytics are enhancing the accuracy and scope of location intelligence, providing more granular and actionable information. The rise of mobile devices and the proliferation of location data further contribute to market growth. Competitive pressures and the need for optimized resource allocation are also pushing businesses to leverage location intelligence for improved operational efficiency and strategic planning. The market is segmented by various deployment models (cloud, on-premise), data types (geographic, demographic), and industry verticals. While data privacy concerns and the complexity of integrating location data into existing systems present challenges, the overall market outlook remains positive, indicating substantial growth opportunities for vendors specializing in location intelligence solutions. The competitive landscape is dynamic, featuring established players like Esri and Alteryx alongside emerging innovative companies like Carto and Geoblink. These companies compete based on their data coverage, analytical capabilities, ease of use, and pricing strategies. The market is witnessing a shift towards cloud-based solutions due to their scalability and cost-effectiveness. Further growth drivers include the increasing adoption of IoT devices generating location data and the rising demand for real-time location tracking. The forecast period anticipates continued growth, with new applications of location intelligence emerging in areas such as smart cities, precision agriculture, and environmental monitoring. Companies are investing heavily in research and development to enhance the accuracy, speed, and accessibility of their location intelligence platforms. This investment, combined with the growing market need, ensures sustained market expansion.
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The IoT Location Platform (ILP) market is experiencing robust growth, projected to reach $1859 million in 2025 and maintain a Compound Annual Growth Rate (CAGR) of 8.4% from 2025 to 2033. This expansion is driven by several key factors. The increasing adoption of IoT devices across various sectors, including logistics, transportation, and healthcare, fuels the demand for precise and reliable location tracking solutions. Furthermore, advancements in technologies like GPS, Wi-Fi positioning, and cellular-based location services enhance accuracy and affordability, making ILP solutions more accessible to a wider range of businesses. The rise of smart cities and the need for efficient asset management further contribute to market growth. Competition among key players like Intel, Google, Alibaba, and others drives innovation and pushes down prices, making ILP solutions more cost-effective. However, the market faces certain challenges. Data security and privacy concerns surrounding the collection and use of location data present a significant hurdle. Regulatory compliance requirements, varying across different regions, necessitate careful consideration by ILP providers. The market's success also hinges on overcoming infrastructure limitations, particularly in regions with limited network coverage or access to advanced positioning technologies. Despite these restraints, the overall market outlook remains positive, fueled by continuous technological advancements and expanding application areas, particularly in sectors prioritizing real-time visibility and efficient resource management. The forecast period of 2025-2033 promises sustained growth driven by increasing adoption across diverse sectors and ongoing technological improvements.
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The Geospatial Imagery Analytics Marketsize was valued at USD 11.88 USD Billion in 2023 and is projected to reach USD 83.39 USD Billion by 2032, exhibiting a CAGR of 32.1 % during the forecast period.Geospatial analytics gathers, manipulates, and displays geographic information system (GIS) data and imagery including GPS and satellite photographs. Geospatial data analytics rely on geographic coordinates and specific identifiers such as street address and zip code. geospatial visualization enables businesses to better understand complex information and make informed decisions. They can quickly see patterns and trends and assess the impact of different variables by visualizing data in a spatial context. The field encompasses several techniques and algorithms, such as spatial interpolation, spatial regression, spatial clustering, and spatial autocorrelation analysis, which help extract insights from various geospatial data sources. The growing adoption of location-based services in various industries, including agriculture, defense, and urban planning, is driving the demand for geospatial imagery analytics. Recent developments include: August 2023: onX, a digital navigation company, partnered with Planet Labs PBC, a satellite imagery provider, to introduce a new feature called ‘Recent Imagery’. This feature offers onX app users updated satellite imagery maps every two weeks, enhancing the user experience across onX Hunt, onX Offroad, and onX Backcountry apps. This frequent data update helps outdoor enthusiasts access real-time information for safer and more informed outdoor activities., August 2023: Quant Data & Analytics, a provider of data products and enterprise solutions for real estate and retail, partnered with Satellogic Inc. to utilize Satellogic’s high-resolution satellite imagery to enhance property technology in Saudi Arabia and the Gulf region., April 2023: Astraea, a spatiotemporal data and analytics platform, introduced a new ordering service that grants customers scalable access to top-tier commercial satellite imagery from providers such as Planet Labs PBC and others., May 2022: Satellogic Inc. established a partnership with UP42. This geospatial developer platform enables direct access to Satellogic’s satellite tasking capabilities, including high-resolution multispectral and wide-area hyperspectral imagery, through the UP42 API-based platform., April 2022: TomTom International BV, a geolocation tech company, broadened its partnership with Maxar Technologies, a space solution provider. This expansion involves integrating high-resolution global satellite imagery from Maxar’s Vivid imagery base maps into TomTom’s product lineup, enhancing their visualization solutions for customers.. Key drivers for this market are: Growing Demand for Location-based Insights across Diverse Industries to Fuel Market Growth. Potential restraints include: Complexity and Cost Associated with Data Acquisition and Processing May Hamper Market Growth. Notable trends are: Growing Implementation of Touch-based and Voice-based Infotainment Systems to Increase Adoption of Intelligent Cars.
This is the wide-swath MODIS/Aqua subset along CloudSat field of view track. The goal of the wide-swath subset is to select and return MODIS data that are within +-100 km across the CloudSat track. I.e. the resultant MODIS subset swath is about 200 km cross-track. Thus, MAC03S1 cross-track width is 201 pixels. Along-track, all MODIS pixels from the original product are preserved.
In the standard product, geolocation fields are calculated for each 1 km MODIS Instantaneous Field of Views (IFOV) for all orbits daily. The locations and ancillary information corresponds to the intersection of the centers of each IFOV from 10 detectors in an ideal 1 km band on the Earth's surface. A digital terrain model is used to model the Earth's surface. The main inputs are the spacecraft attitude and orbit, the instrument telemetry and the digital elevation model. The geolocation fields include geodetic Latitude, Longitude, surface height above geoid, solar zenith and azimuth angles, satellite zenith and azimuth angles, and a land/sea mask for each 1 km sample. Additional information is included in the header to enable the calculation of the approximate location of the center of the detectors of any of the 36 MODIS bands. This product is used as input by a large number of subsequent MODIS products, particularly the products produced by the Land team.
(The shortname for this product is MAC03S1).
Xverum’s Point of Interest (POI) Data is a comprehensive dataset containing 230M+ verified locations across 5000 business categories. Our dataset delivers structured geographic data, business attributes, location intelligence, and mapping insights, making it an essential tool for GIS applications, market research, urban planning, and competitive analysis.
With regular updates and continuous POI discovery, Xverum ensures accurate, up-to-date information on businesses, landmarks, retail stores, and more. Delivered in bulk to S3 Bucket and cloud storage, our dataset integrates seamlessly into mapping, geographic information systems, and analytics platforms.
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Continuous Discovery & Regular Updates: ✅ New POIs continuously added through discovery processes. ✅ Regular updates ensure data accuracy, reflecting new openings and closures.
Rich Business Insights: ✅ Detailed business attributes, including company name, category, and subcategories. ✅ Contact details, including phone number and website (if available). ✅ Consumer review insights, including rating distribution and total number of reviews (additional feature). ✅ Operating hours where available.
Ideal for Mapping & Location Analytics: ✅ Supports geospatial analysis & GIS applications. ✅ Enhances mapping & navigation solutions with structured POI data. ✅ Provides location intelligence for site selection & business expansion strategies.
Bulk Data Delivery (NO API): ✅ Delivered in bulk via S3 Bucket or cloud storage. ✅ Available in structured format (.json) for seamless integration.
🏆Primary Use Cases:
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Smart City & Urban Planning: 🔹 Support public infrastructure projects with accurate POI data. 🔹 Improve accessibility & zoning decisions for government & businesses.
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Access Xverum’s 230M+ POI dataset for mapping, geographic analysis, and location intelligence. Request a free sample or contact us to customize your dataset today!