As of October 2020, the average amount of mobile data used by Apple Maps per 20 minutes was 1.83 MB, while Google maps used only 0.73 MB. Waze, which is also owned by Google, used the least amount at 0.23 MB per 20 minutes.

In 2023, Google Maps was the most downloaded map and navigation app in the United States, despite being a standard pre-installed app on Android smartphones. Waze followed, with 9.89 million downloads in the examined period. The app, which comes with maps and the possibility to access information on traffic via users reports, was developed in 2006 by the homonymous Waze company, acquired by Google in 2013.

Usage of navigation apps in the U.S. As of 2021, less than two in 10 U.S. adults were using a voice assistant in their cars, in order to place voice calls or follow voice directions to a destination. Navigation apps generally offer the possibility for users to download maps to access when offline. Native iOS app Apple Maps, which does not offer this possibility, was by far the navigation app with the highest data consumption, while Google-owned Waze used only 0.23 MB per 20 minutes.

Usage of navigation apps worldwide In July 2022, Google Maps was the second most popular Google-owned mobile app, with 13.35 million downloads from global users during the examined month. In China, the Gaode Map app, which is operated along with other navigation services by the Alibaba owned AutoNavi, had approximately 730 million monthly active users as of September 2022.

The digital map market, currently valued at $25.55 billion in 2025, is experiencing robust growth, projected to expand at a Compound Annual Growth Rate (CAGR) of 13.39% from 2025 to 2033. This expansion is fueled by several key drivers. The increasing adoption of location-based services (LBS) across diverse sectors like automotive, logistics, and smart city initiatives is a primary catalyst. Furthermore, advancements in technologies such as AI, machine learning, and high-resolution satellite imagery are enabling the creation of more accurate, detailed, and feature-rich digital maps. The shift towards cloud-based deployment models offers scalability and cost-effectiveness, further accelerating market growth. While data privacy concerns and the high initial investment costs for sophisticated mapping technologies present some challenges, the overall market outlook remains overwhelmingly positive. The competitive landscape is dynamic, with established players like Google, TomTom, and ESRI vying for market share alongside innovative startups offering specialized solutions. The segmentation of the market by solution (software and services), deployment (on-premise and cloud), and industry reveals significant opportunities for growth in sectors like automotive navigation, autonomous vehicle development, and precision agriculture, where real-time, accurate mapping data is crucial. The Asia-Pacific region, driven by rapid urbanization and technological advancements in countries like China and India, is expected to witness particularly strong growth. The market's future hinges on continuous innovation. We anticipate a rise in the demand for 3D maps, real-time updates, and integration with other technologies like the Internet of Things (IoT) and augmented reality (AR). Companies are focusing on enhancing the accuracy and detail of their maps, incorporating real-time traffic data, and developing tailored solutions for specific industry needs. The increasing adoption of 5G technology promises to further boost the market by enabling faster data transmission and real-time updates crucial for applications like autonomous driving and drone delivery. The development of high-precision mapping solutions catering to specialized sectors like infrastructure management and disaster response will also fuel future growth. Ultimately, the digital map market is poised for continued expansion, driven by technological advancements and increased reliance on location-based services across a wide spectrum of industries. Recent developments include: December 2022 - The Linux Foundation has partnered with some of the biggest technology companies in the world to build interoperable and open map data in what is an apparent move t. The Overture Maps Foundation, as the new effort is called, is officially hosted by the Linux Foundation. The ultimate aim of the Overture Maps Foundation is to power new map products through openly available datasets that can be used and reused across applications and businesses, with each member throwing their data and resources into the mix., July 27, 2022 - Google declared the launch of its Street View experience in India in collaboration with Genesys International, an advanced mapping solutions company, and Tech Mahindra, a provider of digital transformation, consulting, and business re-engineering solutions and services. Google, Tech Mahindra, and Genesys International also plan to extend this to more than around 50 cities by the end of the year 2022.. Key drivers for this market are: Growth in Application for Advanced Navigation System in Automotive Industry, Surge in Demand for Geographic Information System (GIS); Increased Adoption of Connected Devices and Internet. Potential restraints include: Complexity in Integration of Traditional Maps with Modern GIS System. Notable trends are: Surge in Demand for GIS and GNSS to Influence the Adoption of Digital Map Technology.

Context

This Data can be used AS a GPS Locator Data presentation on Google Map, Contain Latitude and Longitude of Stores

Context

Realising which routes a taxi takes while going from one location to another gives us deep insights into why some trips take longer than others. Also, most taxis rely on navigation from Google Maps, which reinforces the use case of this dataset. On a deeper look, we can begin to analyse patches of slow traffic and number of steps during the trip (explained below).

http://www.thethinkingstick.com/images/2015/03/vpq.gif" alt="enter image description here">

Content

The data, as we see it contains the following columns :

• trip_id, pickup_latitude, pickup_longitude (and equivalents with dropoff) are picked up from the original dataset.
• distance : Estimates the distance between the start and the end latitude, in miles.
• start_address and end_address are directly picked up from the Google Maps API
• params : Details set of parameters, flattened out into a single line. (Explained below)

Parameters

The parameters field is a long string of a flattened out JSON object. At its very basic, the field has space separated steps. The syntax is as follows :

Step1:{ ... }, Step2:{ ...

Each step denotes the presence of an intermediate point.

Inside the curly braces of each of the steps we have the distance for that step measured in ft, and the start and end location. The start and end location are surrounded by round braces and are in the following format :

Step1:{distance=X ft/mi start_location=(latitude, longitude) end_location ...}, ...

One can split the internal params over space to get all the required values.

Acknowledgements

All the credit for the data goes to the Google Maps API, though limited to 2000 queries per day. I believe that even that limited amount would help us gain great insights.

Future prospects

• More data : Since the number of rows processed are just 2000, with a good response we might be able to get more. If you feel like contributing, please have a look at the script here and try and run in for the next 2000 rows.

• Driver instructions : I did not include the driver instruction column in the data from the google API as it seemed to complex to use in any kind of models. If that is not the general opinion, I can add it here.

This is a GPS dataset acquired from Google.

Google tracks the user’s device location through Google Maps, which also works on Android devices, the iPhone, and the web. It’s possible to see the Timeline from the user’s settings in the Google Maps app on Android or directly from the Google Timeline Website. It has detailed information such as when an individual is walking, driving, and flying. Such functionality of tracking can be enabled or disabled on demand by the user directly from the smartphone or via the website. Google has a Take Out service where the users can download all their data or select from the Google products they use the data they want to download. The dataset contains 120,847 instances from a period of 9 months or 253 unique days from February 2019 to October 2019 from a single user. The dataset comprises a pair of (latitude, and longitude), and a timestamp. All the data was delivered in a single CSV file. As the locations of this dataset are well known by the researchers, this dataset will be used as ground truth in many mobility studies.

Please cite the following papers in order to use the datasets:

T. Andrade, B. Cancela, and J. Gama, "Discovering locations and habits from human mobility data," Annals of Telecommunications, vol. 75, no. 9, pp. 505–521, 2020. 10.1007/s12243-020-00807-x (DOI)and T. Andrade, B. Cancela, and J. Gama, "From mobility data to habits and common pathways," Expert Systems, vol. 37, no. 6, p. e12627, 2020.10.1111/exsy.12627 (DOI)

The Navigation and Mapping Solutions market is experiencing robust growth, driven by the increasing adoption of location-based services (LBS) across various sectors. The market's expansion is fueled by several key factors, including the proliferation of smartphones equipped with advanced GPS technology, the rising demand for real-time traffic updates and navigation assistance, and the increasing integration of mapping solutions into automotive systems. Furthermore, the development of sophisticated mapping technologies, such as 3D mapping and augmented reality (AR) overlays, is enhancing user experience and driving market penetration. The expanding use of these solutions in logistics and transportation, coupled with the growth of e-commerce and the demand for efficient delivery services, contributes significantly to the market's upward trajectory. We estimate the market size in 2025 to be around $15 billion, projecting a Compound Annual Growth Rate (CAGR) of 12% through 2033. Despite the promising outlook, market growth faces certain challenges. High initial investment costs associated with developing and maintaining advanced mapping systems may limit entry for smaller players. Data privacy concerns and regulatory restrictions regarding data collection and usage pose significant hurdles. The accuracy and reliability of mapping data remain critical factors affecting market adoption, particularly in remote or rapidly changing areas. Competition among established players like Google, TomTom, and Garmin is intense, demanding continuous innovation and strategic partnerships to maintain a competitive edge. Despite these restraints, the long-term prospects for the navigation and mapping solutions market remain positive, driven by ongoing technological advancements and expanding applications across diverse industries.

Offline Maps for Travel Market Outlook

According to our latest research, the offline maps for travel market size reached USD 4.21 billion globally in 2024, registering a robust growth trajectory. The market is expected to expand at a CAGR of 11.8% from 2025 to 2033, with the forecasted market value projected to reach USD 11.74 billion by 2033. This significant growth is primarily driven by rising global travel activity, increasing smartphone penetration, and growing concerns over connectivity and data privacy during travel. As per the latest research, the demand for reliable, data-independent navigation solutions is shaping the future of the offline maps for travel market.

One of the primary growth factors propelling the offline maps for travel market is the surge in international and domestic travel, particularly among millennials and Gen Z travelers. With the proliferation of budget airlines, improved visa policies, and the emergence of experiential travel trends, more individuals are exploring remote and off-the-grid destinations where internet connectivity is often unreliable or unavailable. In such scenarios, offline maps become indispensable tools, providing travelers with uninterrupted access to navigation, points of interest, and route planning. Furthermore, the increasing popularity of adventure tourism, including hiking, biking, and camping, is fueling the adoption of offline maps, as travelers seek to navigate challenging terrains with confidence, regardless of network availability.

Another key driver is the advancement in smartphone technology and the integration of sophisticated offline mapping functionalities within mobile applications. Modern navigation apps now offer features such as turn-by-turn directions, offline search, and real-time location tracking without the need for an active data connection. These innovations have significantly enhanced the user experience, making offline maps not only a backup solution but a primary navigation tool for many travelers. Additionally, heightened concerns over data privacy, particularly when using public or unsecured Wi-Fi networks abroad, have led to a preference for offline solutions that minimize data exposure and potential cyber threats. This shift is further supported by the growing awareness among travelers regarding the risks associated with sharing location data with third-party services.

The offline maps for travel market is also benefiting from strategic partnerships and collaborations between map developers, tourism boards, and local governments. Many destinations are now promoting the use of offline maps to enhance visitor experiences, reduce congestion at popular sites, and support sustainable tourism initiatives. For instance, tourism authorities are increasingly offering downloadable maps that highlight eco-friendly routes, cultural landmarks, and local businesses, thereby fostering economic growth within communities. These initiatives not only boost the adoption of offline maps but also align with broader trends in responsible and tech-enabled travel.

From a regional perspective, the Asia Pacific region is emerging as a major growth engine for the offline maps for travel market, driven by the rapid expansion of the travel and tourism sector in countries such as China, India, Japan, and Southeast Asia. The region's vast and diverse geography, coupled with varying levels of internet infrastructure, underscores the need for reliable offline navigation solutions. North America and Europe also continue to hold significant market shares, supported by high smartphone adoption rates, advanced digital ecosystems, and a strong culture of independent travel. Meanwhile, Latin America, the Middle East, and Africa are witnessing increasing uptake of offline maps, spurred by growing mobile internet penetration and the rising popularity of adventure and eco-tourism.

Product Type Analysis

The product type segment of the offline maps for travel market is categorized into navigation apps, downloadable map software, and dedicated GPS devices. Navigation apps have emerged as the leading product type, owing to their widespread availability, user-friendly interfaces, and seamless integration with smartphones. These apps, such as Google Maps, Maps.me, and Sygic, allow users to download maps for offline use, providing essential navigation features even in areas with limited or no connectivity. The convenience of having a comprehensive navigation tool on

The Digital Salzburg app is an application that can be used to display coordinate data packets of the city and the state of Salzburg. There are 4 different ways to display information about the data points that are in the data packets: * GPS * NFC * QR code * About the Google map GPS: If there is a data point in the radius defined in the settings and you align your Android device in the direction of the data point, you will be shown the information about this data point. NFC: If you hold your Android device to an NFC tag, the Digital Salzburg app recognizes this and shows you the information about this data point. QR code: If you scan a QR code, which includes a supported format, with the built-in QR code scanner, you will be shown the data on the QR code. About the Google map: When you select a data point marker, a window with the name appears. If you want more information about this data point, press once on this window. Now you will be shown the information about this data point. The Digital Salzburg app can be used with or without data glasses. By default, however, the use of data glasses in the app is disabled.

India Location-based Services Market size was valued at USD 460 Million in 2024 and is projected to reach USD 1563 Million by 2032, growing at a CAGR of 16.7% from 2026 to 2032.India Location-based Services Market: Definition/ OverviewLocation-based services (LBS) are applications or services that use a user's geographic location to provide personalized content, services, or information. These services typically rely on technologies such as GPS, Wi-Fi, or cellular data to determine the user's position and tailor experiences based on that location. LBS can be offered through mobile apps, websites, or IoT devices, providing users with relevant information or guidance wherever they are.The application of location-based services spans across various industries, from navigation and travel to retail and marketing. For instance, apps like Google Maps or Uber use LBS to offer real-time route guidance, ride-hailing services, and traffic updates. Retailers use LBS for targeted advertising, sending promotional offers to customers when they are near a store. Additionally, LBS are used in healthcare for monitoring patient movement, in logistics for fleet management, and even in social networking apps where users can share their locations with friends.

Outdoor Navigation App Market Outlook

According to our latest research, the global Outdoor Navigation App market size reached USD 2.8 billion in 2024. The market is experiencing robust expansion with a recorded CAGR of 12.4% from 2025 to 2033. By the end of the forecast period, the market is projected to attain a value of USD 8.1 billion by 2033. This significant growth is primarily driven by the increasing adoption of smartphones, the rising popularity of outdoor recreational activities, and continuous advancements in GPS and mapping technologies.

One of the core growth drivers for the Outdoor Navigation App market is the surge in outdoor activities such as hiking, cycling, running, and boating. The growing awareness about health and wellness, particularly after the global pandemic, has led individuals to seek outdoor adventures, thereby increasing the demand for reliable navigation solutions. The integration of advanced features such as real-time weather updates, offline maps, and route optimization has further enhanced the user experience, making these apps indispensable tools for outdoor enthusiasts. The proliferation of affordable and high-performance smartphones equipped with GPS capabilities has made outdoor navigation accessible to a broader population, significantly contributing to market growth.

Another pivotal factor fueling the expansion of the Outdoor Navigation App market is the continuous technological evolution in mapping and geolocation services. Innovations such as augmented reality (AR) overlays, AI-driven route suggestions, and enhanced user interfaces have transformed the way users interact with navigation apps. The adoption of cloud-based solutions and seamless synchronization across multiple devices have also improved the usability and reliability of these apps, catering to both casual users and professionals. Furthermore, partnerships between app developers and outdoor gear manufacturers are resulting in integrated ecosystems that offer comprehensive solutions for navigation, safety, and performance tracking.

The commercial and governmental sectors are also playing a vital role in propelling the Outdoor Navigation App market. Commercial enterprises, such as tour operators, logistics companies, and outdoor sports event organizers, are increasingly leveraging navigation apps to enhance operational efficiency and customer experience. Meanwhile, government and defense agencies are utilizing these applications for search and rescue operations, disaster management, and public safety initiatives. The adoption of navigation apps in these sectors is supported by the need for real-time data, precise geolocation, and the ability to operate in remote or challenging environments, thereby expanding the market’s reach beyond individual consumers.

From a regional perspective, North America continues to dominate the Outdoor Navigation App market, followed closely by Europe and Asia Pacific. The high disposable income, widespread digital literacy, and a strong culture of outdoor recreation in North America have established the region as a primary market for navigation apps. Europe, with its diverse landscapes and active outdoor communities, is witnessing a steady increase in adoption rates. Meanwhile, the Asia Pacific region is emerging as a high-growth market due to rapid urbanization, increasing smartphone penetration, and government initiatives to promote outdoor tourism and adventure sports. Each region presents unique opportunities and challenges, shaping the overall dynamics of the global market.

Platform Analysis

The Platform segment of the Outdoor Navigation App market is a critical determinant of user adoption and engagement. Android currently holds the largest share due to the sheer volume of Android devices in circulation globally, especially in emerging markets. The open-source nature of Android allows developers to innovate rapidly and customize app functionalities to suit diverse user needs. The flexibility of the Android ecosystem, coupled with affordable device options, has made it the platform of choice for many outdoor enthusiasts. The extensive reach of the Google Play Store and integration with Google Maps further bolster the dominance of Android-based navigation apps.

iOS, on the other hand, commands a significant share of the premium segment. Apple’s devices are renowned for their robus

The Location-Based Services (LBS) market is experiencing robust growth, driven by the increasing penetration of smartphones, the proliferation of mobile data, and the rising adoption of location-aware applications. The market's expansion is fueled by several key factors, including the growing demand for personalized services, improved navigation systems, enhanced location-based advertising, and the integration of LBS into various industries such as logistics, retail, and healthcare. The increasing availability of high-quality location data and advancements in mapping and positioning technologies also contribute significantly to market growth. Competition among key players like Google, TomTom, and Foursquare is intensifying, leading to continuous innovation and improvements in LBS accuracy, functionality, and user experience. Market segmentation, based on type (e.g., navigation, tracking, advertising) and application (e.g., transportation, retail, emergency services), reveals significant growth opportunities across diverse sectors, with the navigation segment likely dominating due to the widespread use of GPS technology. Geographic expansion is also a prominent feature, with North America and Europe currently holding substantial market shares, followed by the Asia-Pacific region experiencing rapid growth. While the market exhibits considerable potential, certain challenges remain. Data privacy concerns and the need for robust security measures are crucial factors that influence adoption. The accuracy and reliability of location data can also be impacted by factors such as GPS signal limitations in urban areas or indoor environments. Furthermore, regulatory hurdles and the need for interoperability between different LBS providers pose ongoing challenges for the market's seamless expansion. However, ongoing technological advancements in areas like augmented reality (AR) and 5G connectivity are poised to overcome some of these limitations and propel the market towards continued growth and diversification. We estimate a sustained CAGR of around 15% for the forecast period, resulting in significant market expansion over the next decade.

To use the interactive map navigation features on a phone, use the Google app or any web browser other than Safari. Click the box with the two arrows on the map. Then click the circular symbol at the bottom right of the enlarged map. You may be prompted to agree to allow the app to use your location.

Discover the explosive growth of the HD Live Map market, projected to reach $1279 million by 2025 with a 24.8% CAGR. This in-depth analysis explores key drivers, trends, and regional market shares, highlighting leading companies and future opportunities in autonomous driving, ADAS, and smart city initiatives.

This is a collection of all GPS- and computer-generated geospatial data specific to the Alpine Treeline Warming Experiment (ATWE), located on Niwot Ridge, Colorado, USA. The experiment ran between 2008 and 2016, and consisted of three sites spread across an elevation gradient. Geospatial data for all three experimental sites and cone/seed collection locations are included in this package. ––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––– Geospatial files include cone collection, experimental site, seed trap, and other GPS location/terrain data. File types include ESRI shapefiles, ESRI grid files or Arc/Info binary grids, TIFFs (.tif), and keyhole markup language (.kml) files. Trimble-imported data include plain text files (.txt), Trimble COR (CorelDRAW) files, and Trimble SSF (Standard Storage Format) files. Microsoft Excel (.xlsx) and comma-separated values (.csv) files corresponding to the attribute tables of many files within this package are also included. A complete list of files can be found in this document in the “Data File Organization” section in the included Data User's Guide. Maps are also included in this data package for reference and use. These maps are separated into two categories, 2021 maps and legacy maps, which were made in 2010. Each 2021 map has one copy in portable network graphics (.png) format, and the other in .pdf format. All legacy maps are in .pdf format. .png image files can be opened with any compatible programs, such as Preview (Mac OS) and Photos (Windows). All GIS files were imported into geopackages (.gpkg) using QGIS, and double-checked for compatibility and data/attribute integrity using ESRI ArcGIS Pro. Note that files packaged within geopackages will open in ArcGIS Pro with “main.” preceding each file name, and an extra column named “geom” defining geometry type in the attribute table. The contents of each geospatial file remain intact, unless otherwise stated in “niwot_geospatial_data_list_07012021.pdf/.xlsx”. This list of files can be found as an .xlsx and a .pdf in this archive. As an open-source file format, files within gpkgs (TIFF, shapefiles, ESRI grid or “Arc/Info Binary”) can be read using both QGIS and ArcGIS Pro, and any other geospatial softwares. Text and .csv files can be read using TextEdit/Notepad/any simple text-editing software; .csv’s can also be opened using Microsoft Excel and R. .kml files can be opened using Google Maps or Google Earth, and Trimble files are most compatible with Trimble’s GPS Pathfinder Office software. .xlsx files can be opened using Microsoft Excel. PDFs can be opened using Adobe Acrobat Reader, and any other compatible programs. A selection of original shapefiles within this archive were generated using ArcMap with associated FGDC-standardized metadata (xml file format). We are including these original files because they contain metadata only accessible using ESRI programs at this time, and so that the relationship between shapefiles and xml files is maintained. Individual xml files can be opened (without a GIS-specific program) using TextEdit or Notepad. Since ESRI’s compatibility with FGDC metadata has changed since the generation of these files, many shapefiles will require upgrading to be compatible with ESRI’s latest versions of geospatial software. These details are also noted in the “niwot_geospatial_data_list_07012021” file.

The Location-Based Services (LBS) market, currently valued at approximately $87.65 billion in 2025, is projected for robust growth over the forecast period (2025-2033). While the exact CAGR is unspecified, considering the rapid technological advancements in mobile devices, AI, and increased data availability, a conservative estimate places the annual growth rate in the range of 12-15%. Key drivers fueling this expansion include the proliferation of smartphones and increased mobile internet penetration, particularly in emerging economies. The rising adoption of IoT devices further contributes to LBS market growth by generating location data from various sources. Furthermore, the increasing demand for personalized experiences and targeted advertising, leveraging location data, is another significant factor driving market expansion. The integration of LBS with other technologies like augmented reality (AR) and virtual reality (VR) is opening up new avenues for innovation and application development, further accelerating market growth. However, challenges remain. Data privacy concerns and regulatory hurdles surrounding the collection and use of location data pose significant restraints. Ensuring data security and user consent are crucial for sustainable growth in this sector. Competitive pressures from established tech giants like Google, Apple, and Facebook, as well as the emergence of innovative start-ups, create a dynamic and competitive landscape. Nevertheless, the long-term outlook for the LBS market remains positive, driven by ongoing technological advancements and the increasing reliance on location intelligence across diverse sectors, including transportation, retail, and healthcare. The market segmentation is likely diverse, encompassing various applications like navigation, location-based advertising, and tracking solutions, each contributing to the overall market value.

The global road safety app market, currently valued at $239 million in 2025, is projected to experience robust growth, fueled by a compound annual growth rate (CAGR) of 8.4% from 2025 to 2033. This expansion is driven by several key factors. Increasing smartphone penetration, coupled with rising public awareness of road safety and the benefits of technology-driven solutions, is significantly boosting adoption rates. Furthermore, the integration of advanced features like real-time accident reporting, emergency assistance functionalities, and driver behavior monitoring within these apps is enhancing their appeal to both individual users and enterprise clients (fleet management companies, insurance providers). Governments are also increasingly promoting the use of such apps through public awareness campaigns and integration with existing road safety infrastructure, further bolstering market growth. The market is segmented by application (enterprise and personal) and operating system (iOS and Android), with the Android segment likely holding a larger market share due to its global dominance in smartphone operating systems. Competitive intensity is high, with numerous players ranging from established tech giants like Google to specialized road safety app developers vying for market share. The competitive landscape is characterized by ongoing innovation in features and functionalities, strategic partnerships, and mergers and acquisitions. While the market displays significant growth potential, challenges remain. Data privacy concerns and the potential for misuse of location data are significant hurdles to overcome. Ensuring user trust and adherence to strict data protection regulations is critical for sustained market growth. Additionally, effective user engagement and app usability are important factors for long-term market success. Differences in regulatory frameworks across various regions can also pose challenges for app developers seeking global market penetration. However, continuous technological advancements and the increasing focus on road safety globally are expected to outweigh these challenges, ensuring the sustained expansion of this dynamic market. The North American and European markets are expected to continue dominating the market, driven by high smartphone penetration and advanced technological infrastructure. However, rapid growth is anticipated in the Asia-Pacific region, particularly in countries like India and China, as increasing smartphone ownership and rising concerns about road safety drive adoption.

The global Navigation Electronic Map market is poised for substantial expansion, projected to reach an impressive USD 3,615 million by 2025, demonstrating a robust Compound Annual Growth Rate (CAGR) of 26.6% throughout the forecast period of 2025-2033. This dynamic growth is fueled by a confluence of escalating demand from both personal and commercial sectors, driven by the pervasive adoption of smartphones, in-car navigation systems, and the burgeoning interest in location-based services. The increasing sophistication of mapping technologies, encompassing the transition from 2D to more immersive and detailed 3D navigation electronic maps, is a significant evolutionary trend. Furthermore, the integration of AI and machine learning for real-time traffic updates, personalized routing, and enhanced predictive analytics is further propelling market penetration. The military application segment, while smaller, also contributes to market expansion through its reliance on precise and reliable geospatial data for strategic operations and intelligence gathering. The market's trajectory is not without its challenges. Restraints such as data privacy concerns, the high cost of developing and maintaining accurate and comprehensive map data, and the need for robust cybersecurity measures to protect sensitive location information could temper the growth. However, these are being actively addressed through advancements in data anonymization techniques, collaborative mapping initiatives, and the development of more efficient data collection and processing methodologies. The competitive landscape is characterized by the presence of established technology giants alongside specialized mapping companies, all vying for market share through innovation and strategic partnerships. The widespread availability of open-source mapping platforms and increasing investments in R&D are expected to foster a more dynamic and competitive environment, ultimately benefiting end-users with more advanced and accessible navigation solutions across diverse applications and regions. This in-depth report delves into the dynamic global Navigation Electronic Map market, offering a comprehensive analysis of its trajectory from the historical period of 2019-2024 through to the forecast period of 2025-2033, with a base year of 2025. The report leverages extensive research to provide actionable insights, market sizing in millions, and strategic recommendations. It meticulously examines key market drivers, challenges, emerging trends, and leading players, equipping stakeholders with the knowledge to navigate this evolving landscape. The report’s detailed segmentation and forward-looking analysis are designed to assist businesses in identifying growth opportunities and formulating robust strategies within the multi-billion dollar navigation electronic map industry.

Crowdsourced Speed Limit Data Market Outlook

According to our latest research, the global Crowdsourced Speed Limit Data market size stands at USD 1.32 billion in 2024, with a robust compound annual growth rate (CAGR) of 17.8% projected from 2025 to 2033. By the end of 2033, the market is forecasted to reach USD 6.51 billion. This impressive growth is primarily driven by the increasing adoption of connected vehicles, advancements in real-time navigation systems, and the rising demand for accurate road and traffic data across various sectors.

One of the primary growth factors fueling the expansion of the Crowdsourced Speed Limit Data market is the proliferation of mobile devices and navigation applications. The widespread usage of smartphones equipped with GPS and location-based services has made it easier than ever to collect and share speed limit data in real time. This democratization of data collection not only enhances the accuracy of mapping platforms but also supports a dynamic ecosystem where users contribute to and benefit from up-to-date road information. Furthermore, the integration of crowdsourced data into popular navigation apps such as Google Maps and Waze has set new standards for user expectations, pushing other industry players to adopt similar approaches and fueling further market growth.

Another significant driver is the rapid development of autonomous and connected vehicles. For autonomous vehicles to operate safely and efficiently, they require access to highly accurate and current speed limit information. Crowdsourced speed limit data, constantly updated by millions of users and vehicles, offers a scalable solution that traditional mapping methods cannot match. Automotive OEMs are increasingly integrating this data into their advanced driver-assistance systems (ADAS) and infotainment platforms, enhancing both safety and user experience. The synergy between automotive innovation and crowdsourced data is expected to remain a key catalyst for market expansion through the forecast period.

In addition, the growing emphasis on traffic management and road safety initiatives by government agencies worldwide is propelling the Crowdsourced Speed Limit Data market. Authorities are leveraging crowdsourced data to enhance their traffic monitoring capabilities, optimize traffic flow, and reduce accident rates. The ability to gather granular, real-time speed limit information from a diverse pool of contributors enables more responsive and data-driven policy decisions. As governments increasingly collaborate with technology providers and automotive OEMs, the adoption of crowdsourced speed limit data is anticipated to accelerate, further strengthening the market’s growth trajectory.

From a regional perspective, North America currently leads the market, closely followed by Europe and the Asia Pacific. The presence of major technology companies, high smartphone penetration, and advanced transportation infrastructure have positioned North America at the forefront of this market. Meanwhile, Europe’s strict regulatory environment and focus on road safety have driven significant adoption across the continent. The Asia Pacific region is emerging as a high-growth market due to rapid urbanization, increasing vehicle ownership, and government investments in smart transportation systems. As these regions continue to innovate and expand their digital ecosystems, their contributions to the global crowdsourced speed limit data market will become even more pronounced.

Data Source Analysis

The Data Source segment is a cornerstone of the Crowdsourced Speed Limit Data market, encompassing mobile applications, navigation devices, automotive OEMs, government platforms, and other sources. Mobile applications represent the largest and fastest-growing sub-segment, thanks to the ubiquity of smartphones and the widespread adoption of GPS-enabled apps. These applications allow users to report and validate speed limits, feeding real-time information into

The dataset is outcome of a paper "Floating Car Data Map-matching Utilizing the Dijkstra Algorithm" accepted for 3rd International Conference on Data Management, Analytics & Innovation held in Kuala Lumpur, Malaysia in 2019.

The floating car data (FCD representing movement of cars with their position in time) is produced by the traffic simulator software (further referred to as Simulator) published in [1] and can be used as an input for data processing and benchmarking. The dataset contains FCD of various quality levels based on the routing graph of the Czech Republic derived from Open Street Map openstreetmap.org.

Should the dataset be exploited in scientific or other way, any acknowledgement or references to our paper [1] and dataset are welcomed and highly appreciated.

Archive contents

The archive contains following folders.

city_oneway and city_roadtrip - FCD from the city of Brno, Czech Republic where FCD is based on Origin-Destination in case of oneway and Origin-Destination-Origin in case of a road trip

intercity_oneway and intercity_roadtrip - FCD from cities of Brno, Ostrava, Olomouc and Zlin, all Czech Republic where FCD is based on Origin-Destination in case of oneway and Origin-Destination-Origin in case of a road trip

Content explanation

All four of mentioned folders contain raw FCD as they come from our Simulator, post-processed FCD enriching Simulator FCD, and obfuscated raw FCD (of both low and high obfuscation level). In the both obfuscated data sets, each measured point was moved in a random direction a number of meters given by drawing a number from a Gaussian distribution. We utilized two Gaussian distributions, one for the roads outside the city (N(0,10) for the lower and N(0,20) for the higher obfuscation level) and one for the roads inside the city (N(0,15) and N(0,30) respectively). Then some predefined number of randomly chosen points were removed (3% in our case). This approach should roughly represent real conditions encountered by FCD data as described by El Abbous and Samanta [2].

In case of post-processed road trip data, there is one extra dataset with "cache" suffix representing the very same dataset limited to a 5-minute session memoization. This folder also contains a picture of processed FCD represented on a map.

Data format Standard UTF-8 encoded CSV files, separated by a semicolon with the following columns:

RAW

Header

session_id;timestamp;lat;lon;speed;bearing;segment_id

Data

session_id: (Type: unsigned INT) - session (car) identifier timestamp: (Type: datetime) - timestamp in UTC lat: (Type: unsigned long) - latitude as used in Google maps lon: (Type: unsigned long) - longitude as used in Google maps speed: (Type: unsigned INT) - actual speed in kmh bearing: (Type: unsigned INT) - actual bearing in angles 0-360 segment_id: (Type: unsigned long) - unique edge identifier

POST-PROCESSED

Header

gid;car_id;point_time;lat;lon;segment_id;speed_kmh;speed_avg_kmh;distance_delta_m;distance_total_m;speedup_ratio;duration;segment_changed;duration_segment;moved;duration_move;good;duration_good;bearing;interpolated

Data

gid: (Type: unsigned long) - global identifier of a record car_id: (Type: unsigned INT) - session (car) identifier point_time: (Type: datetime) - timestamp with timezone lat: (Type: unsigned long) - latitude as used in Google maps lon: (Type: unsigned long) - longitude as used in Google maps segment_id: (Type: unsigned long) - unique edge identifier speed: (Type: unsigned INT) - actual speed in kmh speed_avg_kmh: (Type: unsigned long) - actual average speed of a car in kmh distance_delta_m: (Type: unsigned long) - actual distance delta in metres distance_total_m: (Type: unsigned long) - actual total distance of a car in metres speedup_ratio: (Type: unsigned long) - actual speed-up ratio of a car duration: (Type: time) - actual duration of a car segment_changed: (Type: boolean) - signals if actual segment of a car differs from the previous one duration_segment: (Type: time) - actual duration on a segment of a car moved: (Type: boolean) - signals if actual position of a car differs from the previous one duration_move:(Type: time) - actual duration of a car since moving good: signals if actual record values satisfies all data constraints (all true as derived from Simulator) duration_good: actual duration of a car since when all constraints conditions satisfied bearing: (Type: unsigned INT) - actual bearing in angles 0-360 interpolated: (Type: boolean) - signals if actual segment identifier is calculated (all false as derived from Simulator)

References

[1] V. Ptošek, J. Ševčík, J. Martinovič, K. Slaninová, L. Rapant, and R. Cmar, Real-time traffic simulator for self-adaptive navigation system validation, Proceedings of EMSS-HMS: Modeling & Simulation in Logistics, Traffic & Transportation, 2018.

[2] A. El Abbous and N. Samanta. A modeling of GPS error distri-butions, In proceedings of 2017 European Navigation Conference (ENC), 2017.