The global GIS data collector market is experiencing robust growth, driven by increasing adoption of precision agriculture, expanding infrastructure development projects, and the rising demand for accurate geospatial data across various industries. The market, estimated at $2.5 billion in 2025, is projected to witness a Compound Annual Growth Rate (CAGR) of 8% from 2025 to 2033, reaching approximately $4.2 billion by 2033. Key drivers include the increasing availability of affordable and high-precision GPS technology, coupled with advancements in data processing and cloud-based solutions. The integration of GIS data collectors with other technologies, such as drones and IoT sensors, is further fueling market expansion. The demand for high-precision GIS data collectors is particularly strong in sectors like surveying, mapping, and construction, where accuracy is paramount. While the market faces challenges such as high initial investment costs and the need for specialized expertise, the overall growth trajectory remains positive. The market is segmented by application (agriculture, industrial, forestry, and others) and by type (general precision and high precision). North America and Europe currently hold significant market shares, but the Asia-Pacific region is anticipated to experience rapid growth in the coming years due to substantial infrastructure development and increasing government investments in geospatial technologies. The competitive landscape is characterized by both established players like Trimble, Garmin, and Hexagon (Leica Geosystems) and emerging companies offering innovative solutions. These companies are constantly innovating, integrating advanced technologies like AI and machine learning to enhance data collection and analysis capabilities. This competition is driving down prices and improving product quality, benefiting end-users. The increasing use of mobile GIS and cloud-based data management solutions is also transforming the industry, making data collection and analysis more accessible and efficient. Future growth will be largely influenced by the advancement of 5G networks, enabling faster data transmission and real-time applications, and the increasing adoption of automation and AI in data processing workflows. Furthermore, government regulations promoting the use of accurate geospatial data for sustainable development and environmental monitoring are creating new opportunities for the market’s expansion.

GIS Data Collector Market Outlook

The global GIS Data Collector market size is anticipated to grow from USD 4.5 billion in 2023 to approximately USD 12.3 billion by 2032, at a compound annual growth rate (CAGR) of 11.6%. The growth of this market is largely driven by the increasing adoption of GIS technology across various industries, advances in technology, and the need for effective spatial data management.

An important factor contributing to the growth of the GIS Data Collector market is the rising demand for geospatial information across different sectors such as agriculture, construction, and transportation. The integration of advanced technologies like IoT and AI with GIS systems enables the collection and analysis of real-time data, which is crucial for effective decision-making. The increasing awareness about the benefits of GIS technology and the growing need for efficient land management are also fuelling market growth.

The government sector plays a significant role in the expansion of the GIS Data Collector market. Governments worldwide are investing heavily in GIS technology for urban planning, disaster management, and environmental monitoring. These investments are driven by the need for accurate and timely spatial data to address critical issues such as climate change, urbanization, and resource management. Moreover, regulatory policies mandating the use of GIS technology for infrastructure development and environmental conservation are further propelling market growth.

Another major growth factor in the GIS Data Collector market is the continuous technological advancements in GIS software and hardware. The development of user-friendly and cost-effective GIS solutions has made it easier for organizations to adopt and integrate GIS technology into their operations. Additionally, the proliferation of mobile GIS applications has enabled field data collection in remote areas, thus expanding the scope of GIS technology. The advent of cloud computing has further revolutionized the GIS market by offering scalable and flexible solutions for spatial data management.

Regionally, North America holds the largest share of the GIS Data Collector market, driven by the presence of key market players, advanced technological infrastructure, and high adoption rates of GIS technology across various industries. However, the Asia Pacific region is expected to witness the highest growth rate during the forecast period, primarily due to rapid urbanization, government initiatives promoting GIS adoption, and increasing investments in smart city projects. Other regions such as Europe, Latin America, and the Middle East & Africa are also experiencing significant growth in the GIS Data Collector market, thanks to increasing awareness and adoption of GIS technology.

The role of a GPS Field Controller is becoming increasingly pivotal in the GIS Data Collector market. These devices are essential for ensuring that data collected in the field is accurate and reliable. By providing real-time positioning data, GPS Field Controllers enable precise mapping and spatial analysis, which are critical for applications such as urban planning, agriculture, and transportation. The integration of GPS technology with GIS systems allows for seamless data synchronization and enhances the efficiency of data collection processes. As the demand for real-time spatial data continues to grow, the importance of GPS Field Controllers in the GIS ecosystem is expected to rise, driving further innovations and advancements in this segment.

Component Analysis

The GIS Data Collector market is segmented by component into hardware, software, and services. Each of these components plays a crucial role in the overall functionality and effectiveness of GIS systems. The hardware segment includes devices such as GPS units, laser rangefinders, and mobile GIS devices used for field data collection. The software segment encompasses various GIS applications and platforms used for data analysis, mapping, and visualization. The services segment includes consulting, training, maintenance, and support services provided by GIS vendors and solution providers.

In the hardware segment, the demand for advanced GPS units and mobile GIS devices is increasing, driven by the need for accurate and real-time spatial data collection. These devices are equipped with high-precision sensors and advanced features such as real-time kinematic (RTK) positioning, which enhance

As of March 2021, Waze was the mobile GPN navigation app found to collect the largest amount of data from global iOS users, with 21 data points collected across all examined segments. Maps.me collected a total of 20 data points from its users, including five data points on contact information. Hiking and trail GPS map Gaia followed, with 13 data points, respectively.

Irys specializes in collecting and curating high-quality GPS signals from millions of connected devices worldwide. Our location data insights are sourced through partnerships with tier-1 app developers. The raw GPS data, delivered at an hourly cadence, provides unparalleled benefits and use cases for Transport and Logistic Data, Mobile Location Data, Mobility Data, and IP Address Data.

Our commitment to privacy compliance is unwavering. All data is collected with clear privacy notices, and our opt-in/out management ensures transparent control over data collection, use, and distribution.

Discover the precision of our Location Data Insights with Irys – where accuracy meets innovation.

This dataset contains raw GPS data collected by Purdue University. GPS readings were taken from various stations from June 6 to June 12. Included with the data is a readme in .pdf format with start and end times and approximate locations for each observation.

Irys specializes in collecting and curating high-quality GPS signals from millions of connected devices worldwide. Our Mobile Location Data insights are sourced through partnerships with tier-1 app developers and a unique data collection method. The low-latency delivery ensures real-time insights, setting us apart and providing unparalleled benefits and use cases for Location Data, Places Data, Mobility Data, and IP Address Data.

Our commitment to privacy compliance is unwavering. Clear and compliant privacy notices accompany our data collection process. Opt-in/out management empowers users over data distribution.

Discover the precision of our Mobile Location Data insights with Irys – where quality meets innovation.

Irys specializes in collecting and curating high-quality GPS signals from millions of connected devices worldwide. Our Geospatial insights are sourced through partnerships with tier-1 app developers and a unique data collection method. The low-latency delivery ensures real-time insights, setting us apart and providing unparalleled benefits and use cases for Location Data, Mobile Location Data, Mobility Data, and IP Address Data.

Our commitment to privacy compliance is unwavering. All data is collected with clear privacy notices, and our opt-in/out management ensures transparent control over data collection, use, and distribution.

Discover the precision of our Geospatial insights with Irys – where quality meets innovation.

It is about updating to GIS information database, Decision Support Tool (DST) in collaboration with IWMI. With the support of the Fish for Livelihoods field team and IPs (MFF, BRAC Myanmar, PACT Myanmar, and KMSS) staff, collection of Global Positioning System GPS location data for year-1 (2019-20) 1,167 SSA farmer ponds, and year-2 (2020-21) 1,485 SSA farmer ponds were completed with different GPS mobile applications: My GPS Coordinates, GPS Status & Toolbox, GPS Essentials, Smart GPS Coordinates Locator and GPS Coordinates. The Soil and Water Assessment Tool (SWAT) model that integrates climate change analysis with water availability will provide an important tool informing decisions on scaling pond adoption. It can also contribute to a Decision Support Tool to better target pond scaling. GIS Data also contribute to identify the location point of the F4L SSA farmers ponds on the Myanmar Map by fiscal year from 1 to 5.

The goal of this study is to measure willingness to participate in passive mobile data collection among German smartphone owners. The data come from a two-wave web survey among German smartphone users 18 years and older who were recruited from a German nonprobability online panel. In December 2016, 2,623 participants completed the Wave 1 questionnaire on smartphone use and skills, privacy and security concerns, and general attitudes towards survey research and research institutions. In January 2017, all respondents from Wave 1 were invited to participate in a second web survey which included vignettes that varied the levels of several dimensions of a hypothetical study using passive mobile data collection, and respondents were asked to rate their willingness to participate in such a study. A total of 1,957 respondents completed the Wave 2 questionnaire.

Wave 1

Topics: Ownership of smartphone, mobile phone, PC, tablet, and/or e-book reader; type of smartphone; frequency of smartphone use; smartphone activities (browsing, e-mails, taking photos, view/ post social media content, shopping, online banking, installing apps, using GPS-enabled apps, connecting via Bluethooth, play games, stream music/ videos); self-assessment of smartphone skills; attitude towards surveys and participaton at research studies (personal interest, waste of time, sales pitch, interesting experience, useful); trust in institutions regarding data privacy (market research companies, university researchers, statistical office, mobile service provider, app companies, credit card companies, online retailer, and social networks); concerns regarding the disclosure of personal data by the aforementioned institutions; general privacy concern; privacy violated by banks/ credit card companies, tax authorities, government agencies, market research companies, social networks, apps, internet browsers); concern regarding data security with smartphone activities for research (online survey, survey apps, research apps, SMS survey, camera, activity data, GPS location, Bluetooth); number of online surveys in which the respondent has participated in the last 30 days; Panel memberships other than that of mingle; previous participation in a study with downloading a research app to the smartphone (passive mobile data collection).

Wave 2

Topics: Willingness to participate in passive mobile data collection (using eight vignettes with different scenarios that varied the levels of several dimensions of a hypothetical study using passive mobile data collection. The research app collects the following data for research purposes: technical characteristics of the smartphone (e.g. phone brand, screen size), the currently used telephone network (e.g. signal strength), the current location (every 5 minutes), which apps are used and which websites are visited, number of incoming and outgoing calls and SMS messages on the smartphone); reason why the respondent wouldn´t (respectively would) participate in the research study used in the first scenario (open answer); recognition of differences between the eight scenarios; kind of recognized difference (open answer); remembered data the research app collects (recall); previous invitation for research app download; research app download.

Demography: sex; age; federal state; highest level of school education; highest level of vocational qualification.

Additionally coded was: running number; respondent ID; duration (response time in seconds); device type used to fill out the questionnaire; vignette text; vignette intro time; vignette time.

The global mobile data collectors market is experiencing robust growth, driven by the increasing adoption of digital technologies across diverse sectors. The market, currently valued at approximately $15 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 7% from 2025 to 2033, reaching an estimated market value of $25 billion by 2033. This expansion is fueled by several key factors, including the rising need for real-time data capture in logistics and supply chain management, the proliferation of smart devices and IoT applications demanding efficient data collection solutions, and the growing preference for automated data collection processes across various industries like electronics manufacturing and communication networks. The market is segmented by data collector type (mechanical, electronic, wireless) and application (electronics, logistics, communication, other), each contributing significantly to overall market growth. Wireless data collectors, in particular, are witnessing substantial demand due to their flexibility and enhanced efficiency. The integration of advanced features like GPS tracking, cloud connectivity, and improved data analytics capabilities further enhances the appeal of mobile data collectors, driving adoption across various industries. Geographical distribution of the market reveals strong presence across North America and Europe, propelled by early adoption of advanced technologies and robust infrastructure. However, rapid industrialization and technological advancements in the Asia-Pacific region, notably in China and India, are presenting significant growth opportunities in the coming years. While several restraining factors such as the high initial investment cost and the complexity of integrating new systems can hinder market penetration, the overall growth outlook remains positive, driven by continuous innovation in mobile data collection technologies and the increasing demand for efficient data management solutions across various sectors globally.

The global Mobile Location Services (MLS) market is experiencing robust growth, driven by the increasing adoption of smartphones, the proliferation of location-based services (LBS), and the expanding need for real-time tracking across various sectors. The market, estimated at $50 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, reaching approximately $150 billion by 2033. Key application segments include car navigation, logistics tracking, and personal positioning, with instant location services currently dominating the market share due to the immediate need for precise location information in various applications. Growth is further fueled by technological advancements in GPS accuracy, the rise of IoT devices integrating location capabilities, and the increasing demand for enhanced safety and security features. However, challenges like data privacy concerns and the need for robust infrastructure to support widespread MLS usage act as restraints. Major players in the market, including ZTE, General Electric, ESRI, Ericsson, Cisco, and Apple, are constantly innovating to improve the accuracy, reliability, and security of their location services, pushing the market forward. The regional distribution of the MLS market reflects the global technological landscape, with North America and Europe currently holding significant market shares due to established infrastructure and high smartphone penetration. However, rapid growth is anticipated in Asia-Pacific regions like China and India, driven by rising smartphone adoption and expanding digital infrastructure. The market segmentation by service type highlights the significant role of instant location services, underpinning real-time applications crucial for logistics, emergency services, and personal safety. The continued investment in 5G and other high-speed communication technologies is expected to further drive the adoption of these real-time services, while the historical location services segment will likely see steady growth driven by analytics and data-driven insights in various sectors. Overall, the MLS market demonstrates strong growth potential, fueled by both technological advancements and the increasing reliance on location-based information across numerous industries.

Mobile Mapping Market Outlook

The global mobile mapping market size was valued at USD 24 billion in 2023 and is projected to reach USD 78 billion by 2032, growing at a compound annual growth rate (CAGR) of 14%. The market growth is largely driven by the increasing adoption of mobile mapping technologies in various industries such as transportation, logistics, and public sector services. The exponential growth of mobile and internet technologies has paved the way for advanced mapping solutions that provide real-time data and analytics.

The surge in demand for accurate and efficient geospatial data is a primary growth factor for the mobile mapping market. Industries ranging from transportation to telecommunications are continuously seeking advanced technologies to enhance operational efficiency and customer service. Mobile mapping solutions, equipped with high-resolution sensors and advanced software, offer unparalleled accuracy and speed, enabling industries to make informed decisions. Furthermore, the increasing integration of Internet of Things (IoT) and Artificial Intelligence (AI) technologies with mobile mapping systems is fueling the growth of this market. IoT devices provide a constant stream of data, while AI algorithms enhance data processing, making mobile mapping systems more robust and versatile.

Another significant growth driver is the rising importance of location-based services in todayÂ’s connected world. Location-based services rely heavily on accurate and real-time geospatial data, which mobile mapping technologies are adept at providing. From navigation applications to location-based advertising, the need for precise mapping solutions is becoming more critical. The proliferation of smart cities further accelerates the demand for mobile mapping, as urban planners require detailed and up-to-date maps for infrastructure development, traffic management, and emergency response. Additionally, the increasing use of mobile mapping in disaster management and environmental monitoring is opening new avenues for market expansion.

The growing investments in infrastructure development and the modernization of existing systems are also driving market growth. Governments and private organizations are investing heavily in the development of advanced mapping technologies to support various applications such as urban planning, infrastructure development, and environmental conservation. The adoption of mobile mapping solutions in the construction and real estate sectors is further contributing to market growth. These solutions provide accurate spatial data, enabling planners and developers to design and execute projects more efficiently. Furthermore, advancements in sensor technologies and the availability of high-speed data connectivity are enhancing the capabilities of mobile mapping systems, making them more reliable and efficient.

The integration of a Map Positioning Unit within mobile mapping systems is becoming increasingly significant. These units are essential for enhancing the precision and reliability of geospatial data collection. By providing accurate positioning information, Map Positioning Units ensure that the data collected is consistent and precise, which is crucial for applications such as urban planning, transportation, and logistics. The demand for these units is growing as industries seek to improve the accuracy of their mapping solutions. With advancements in technology, Map Positioning Units are becoming more compact and efficient, making them easier to integrate into existing systems. This integration is particularly beneficial for sectors that require high levels of accuracy and real-time data, such as smart city projects and disaster management. As the mobile mapping market continues to expand, the role of Map Positioning Units will become even more pivotal in driving innovation and efficiency.

Regionally, North America holds a significant share of the mobile mapping market, driven by advanced technological infrastructure and high adoption rates of new technologies. The presence of major market players and extensive research and development activities contribute to the region's market dominance. Europe follows closely, with substantial investments in smart city projects and infrastructure development. The Asia-Pacific region is expected to witness the highest growth rate during the forecast period, attributed to rapid urbanization, increasing investments in infrastructure, and growing adoption of advanced technologies. Latin America and the Middle East & Africa regions are also experiencing stea

Components: Hardware: Includes mobile mapping systems, sensors, and other equipment Software: Includes software for data collection, processing, and visualization Services: Includes data collection, processing, and analysis servicesSolutions: Location-based: Provides location-based information and services Indoor mapping: Creates maps of indoor spaces Asset management: Helps manage assets and track their location 3D mapping: Creates 3D models of buildings and infrastructureApplications: Land surveys: Used for surveying land and creating maps Aerial surveys: Used for surveying areas from the air Real estate & construction: Used for planning and designing buildings and infrastructure IT & telecom: Used for network planning and management Recent developments include: One of the pioneers in wearable mobile mapping technology, NavVis, revealed the NavVis VLX 3, their newest generation of wearable technology. As the name suggests, this is the third version of their wearable VLX system; the NavVis VLX 2 was released in July of 2021, which is over two years ago. In their news release, NavVis emphasises the NavVis VLX 3's improved accuracy in point clouds by highlighting the two brand-new, 32-layer lidars that have been "meticulously designed and crafted" to minimise noise and drift in point clouds while delivering "high detail at range.", According to the North American Mach9 Software Platform, mobile Lidar will produce 2D and 3D maps 30 times faster than current systems by 2023., Even though this is Mach9's first product launch, the business has already begun laying the groundwork for future expansion by updating its website, adding important engineering and sales professionals, relocating to new headquarters in Pittsburgh's Bloomfield area, and forging ties in Silicon Valley., In order to make search more accessible to more users in more useful ways, Google has unveiled a tonne of new search capabilities for 2022 spanning Google Search, Google Lens, Shopping, and Maps. These enhancements apply to Google Maps, Google Shopping, Google Leons, and Multisearch., A multi-year partnership to supply Velodyne Lidar, Inc.'s lidar sensors to GreenValley International for handheld, mobile, and unmanned aerial vehicle (UAV) 3D mapping solutions, especially in GPS-denied situations, was announced in 2022. GreenValley is already receiving sensors from Velodyne., The acquisition of UK-based GeoSLAM, a leading provider of mobile scanning solutions with exclusive high-productivity simultaneous localization and mapping (SLAM) programmes to create 3D models for use in Digital Twin applications, is expected to close in 2022 and be completed by FARO® Technologies, Inc., a global leader in 4D digital reality solutions., November 2022: Topcon donated to TU Dublin as part of their investment in the future of construction. Students learning experiences will be improved by instruction in the most cutting-edge digital building techniques at Ireland's first technical university., October 2022: Javad GNSS Inc has released numerous cutting-edge GNSS solutions for geospatial applications. The TRIUMPH-1M Plus and T3-NR smart antennas, which employ upgraded Wi-Fi, Bluetooth, UHF, and power management modules and integrate the most recent satellite tracking technology into the geospatial portfolio, are two examples of important items.. Key drivers for this market are: Improvements in GPS, LiDAR, and camera technologies have significantly enhanced the accuracy and efficiency of mobile mapping systems. Potential restraints include: The initial investment required for mobile mapping equipment, including sensors and software, can be a barrier for small and medium-sized businesses.. Notable trends are: Mobile mapping systems are increasingly integrated with cloud platforms and AI technologies to process and analyze large datasets, enabling more intelligent mapping and predictive analytics.

The Kinematic GPS (KGPS) data provide accurate high-resolution locational data of approximately 6400 km of roads in Great Britain using circular and/or linear transect data collected during two fieldwork campaigns (details below) carried out by the Landmap project team in order to validate the various Landmap image and elevation products. When processed, this data yields accurate 3-D coordinates that can be used for quality assessment purposes. Kinematic GPS is a technique used to enhance the precision of standard GPS, using a reference receiver of known location, such as a main road, to make corrections to the standard GPS-determined location yielding centimetre-level accuracy.

The Joint Information Systems Committee (JISC) funded Landmap service which ran from 2001 to July 2014 collected and hosted a large amount of earth observation data for the majority of the UK, part of which was buildings data. After removal of JISC funding in 2013, the Landmap service is no longer operational, with the data now held at the NEODC.

Campaign 1

The first campaign, carried out in September 1999, required the kinematic GPS profiles for a number of pre-defined circular routes. This suited a 'Real-time Kinematic' (RTK-GPS) survey technique in which both GPS code pseudorange and carrier-phase measurements are recorded. This method is capable of yielding sub-decimetre accuracy over short baselines, generally less than 50 km.

The observing schedule was such that the reference receiver was established at a location deemed to be the centroid of the day's route so that the baseline distances from the 'local' reference receiver to mobile receiver would be kept to a minimum preventing the accumulation of distance-dependent errors. The mobile receiver would then be driven along the predefined route recording satellite observations at a rate of 5 Hz. Once the route was completed, the local reference station team was picked up and the entire team prepared to observe the next scheduled loop.

The mobile team covered almost 4,000 miles during the 14 days of the first campaign with the predefined circular routes representing some 2,800 miles (4,506km) of that total.

Campaign 2

The second campaign which took place during May and June of 2000 was geared to a different set of objectives and therefore had an observing schedule different to that of the first campaign. There was a requirement to observe some long GPS profiles that would essentially span a number of satellite-pass strips / several stereo-pair strips permitting some checking of the strip matching procedures using orthorectification techniques.

The establishment of a 'local' reference receiver station alongside each section of these proposed transects would have been too demanding in both time and logistics so an alternative processing approach was decided upon. The observing procedure was identical to that of the first campaign with the exception that the 'local' reference receiver remained in the same location for the duration of the campaign. A high-precision geodetic GPS receiver was established at a point of known co-ordinates at University College London where it collected GPS observations for the 9 days of this second campaign. The mobile receiver was driven along the required profiles recording data at a rate of 5Hz.

The routes followed for this second campaign contained a number of features as requested by the SPOT processing team that would aid them in their orthorectification tasks. One particular request was that a number of crossovers should be performed at major junctions whereby a mile or two of additional observations were taken on the feeder roads for the junction in question. Such manoeuvres provide the processing / imaging team with a greater number of features to identity and refer to as part of their orthorectification quality assessment routines. The nature of the road network in some areas meant that several long stretches of road were retraced or intersected which allowed some error checking.

For full FGDC metadata record, please click here.These data represent Staging and Response Locations collected by GPS for Mississippi, Alabama, and the Florida Panhandle prior to the Deepwater Horizon Oil Spill. The locations for the Peninsular portion of Florida, Georgia, South Carolina, Puerto Rico, and the US Virgin Islands have been compiled from numerous sources into this database schema and will at some later date (after Nov. 2010) be verified and validated by GPS. Staging and response locations were identified first by defining the types of locations that fit these descriptions. The broad categories were defined as Boat Ramp, Marina, Staging Area, or any combination of these. A marina may contain a boat ramp as well as a large parking lot with a seawall suitable for deploying equipment into the water. A staging area may contain just a waterfront park with access to the water, but no boat ramp or marina, but perhaps a dock or pier. These categories and attributes were used to design a specific database schema to collect information on these geographic features that could be used on a GPS-enabled field data collection device. Once the categories of information to be collected and the specifics of what types of information to be collected within each category were determined (the database schema), mobile devices were programmed to accomplish this task and area committee volunteers were used to conduct the field surveys. Field crews were given training on the devices. Guided by base maps identifying potential locations, they then traveled into the field to validate and collect specific GPS and attribute data on those locations. This was a cooperative effort between many federal, state, and local entities guided by FWC-FWRI that resulted in detailed and location-specific information on 366 staging area locations within Sector Mobile and a comprehensive GIS data set that is available on the DVD ROM and website as well a being used in the Geographic Response Plan Map Atlas production. Cyber-Tracker was the software used for this field data collection. Cyber-Tracker is a "shareware" software package developed as a data-capture tool designed for use in Environmental Conservation, Wildlife Biology and Disaster Relief. The software runs on numerous types of mobile devices and designing custom data capture processes for these devices requires no programming experience. Funded in large part by the European Commission and patroned by Harvard University, Cyber-Tracker Software has been a very valuable tool in the data collection efforts of this project. Cyber-Tracker Software can be found on the Internet at: http://www.cybertracker.co.za/.

AnLoCOV is a large anonymized longitudinal GPS location dataset for studies spanning over pre- and post-COVID periods in Ecuador. This project contains data collected using the Global Positioning System (GPS) from mobile devices. This GPS data was acquired using the Google Location History, accessible in the Google Maps application. It includes data from 338 people over ten years (2012–2022). The dataset's goal is to promote studies on human mobility behavior and activity spaces using GPS data from mobile devices.

The global cell phone mobile location tracking app market is experiencing robust growth, driven by increasing concerns over personal safety, parental control needs, and the rise of employee monitoring in businesses. The market, estimated at $5 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, reaching a value exceeding $15 billion by the end of the forecast period. This expansion is fueled by several key factors. The increasing affordability and accessibility of smartphones globally contribute significantly. Furthermore, advancements in GPS technology, coupled with the development of user-friendly mobile applications, have broadened market reach and improved accuracy. The diverse applications across personal, enterprise, and governmental sectors further contribute to the market's growth trajectory. The market is segmented by application (personal, enterprise) and type (cloud-based, on-premises), with cloud-based solutions gaining significant traction due to their scalability and cost-effectiveness. Competitive pressures among numerous players, including both established tech companies and specialized app developers, are driving innovation and feature enhancements, ultimately benefiting consumers and businesses alike. However, privacy concerns and regulatory hurdles related to data usage and consent pose challenges for market expansion, requiring developers to prioritize user data protection and transparency. While the North American market currently holds a significant share, fueled by high smartphone penetration and a strong focus on personal safety, the Asia-Pacific region is projected to witness the fastest growth due to its rapidly expanding smartphone user base and increasing adoption of location-based services. The European market is also showing substantial growth, driven by strong regulatory frameworks focusing on data privacy and security, prompting the development of increasingly secure and compliant location tracking apps. Future growth will hinge on addressing privacy concerns, enhancing accuracy and reliability, and expanding functionalities such as geofencing and real-time alerts to cater to an increasingly sophisticated user base. Furthermore, strategic partnerships between app developers and telecommunication companies are likely to play a crucial role in market expansion and wider adoption.

Purdue University operated a mobile radiosonde system for the Mesoscale Predictability Experiment (MPEX) during the period from 17 May to 12 June 2013. Soundings were taken intermittently as determined by the weather situation, with a focus on the pre-convective and convectively disturbed environments near deep convective storms in the central United States. Soundings were coordinated with releases from the mobile teams from Colorado State University and the National Severe Storms Laboratory (NSSL). This final MPEX data set includes a total of 94 quality controlled, high vertical resolution (1 second) soundings.

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 global mobile-device location determination market is experiencing robust growth, driven by increasing demand for location-based services across diverse sectors. The market, estimated at $15 billion in 2025, is projected to witness a Compound Annual Growth Rate (CAGR) of 12% from 2025 to 2033, reaching approximately $45 billion by 2033. This expansion is fueled by several key factors. The proliferation of smartphones and the rise of the Internet of Things (IoT) are generating vast amounts of location data, creating opportunities for innovative applications. The increasing adoption of GPS-enabled devices, particularly in the transportation and logistics sectors, significantly contributes to market growth. Furthermore, the growing need for enhanced subscriber safety and security features, as well as the burgeoning demand for intelligent transportation systems (ITS), are driving the demand for precise and reliable mobile location determination technologies. The market is segmented by technology (GPS, Geolocation, Distance-based Positioning, and Others) and application (Emergency Services, ITS, Fraud Detection, and Others), reflecting the diverse applications of this technology. The competitive landscape features a mix of established technology giants and specialized location services providers. Companies like Ericsson and Rohde & Schwarz contribute significantly to the technological advancement of the market, while companies like Life360 and MSpy focus on consumer-oriented location-tracking applications. Geographic growth is expected across all regions, with North America and Europe leading initially due to higher technology adoption rates and established infrastructure. However, rapid growth is anticipated in Asia-Pacific, driven by increasing smartphone penetration and investments in infrastructure development. Regulatory challenges related to data privacy and security will pose a restraint, requiring companies to implement robust data protection measures to maintain user trust and market stability. Future growth will hinge on advancements in location accuracy, the integration of multiple technologies, and the development of innovative applications across various industry verticals.