Dataset

This dataset was created by baobaoxi

Contents

Map Data Services Market Outlook

According to our latest research, the global map data services market size in 2024 stands at USD 5.8 billion, with a robust growth trajectory expected through the forecast period. The market is projected to reach USD 17.2 billion by 2033, expanding at a remarkable CAGR of 13.1% from 2025 to 2033. This dynamic expansion is underpinned by the surging demand for real-time geospatial intelligence, the proliferation of connected devices, and the critical role of precise mapping in sectors such as transportation, logistics, and smart city initiatives. As per the latest research, the market is being propelled by technological advancements, increased adoption of cloud-based solutions, and the integration of map data services into diverse industry verticals.

One of the primary growth factors for the map data services market is the escalating adoption of location-based services (LBS) across various industries. The increasing penetration of smartphones and IoT-enabled devices has made real-time location tracking and navigation a necessity for both consumers and enterprises. Businesses in transportation, logistics, and retail are leveraging advanced mapping solutions to optimize delivery routes, enhance asset tracking, and personalize customer experiences. Furthermore, the integration of artificial intelligence and machine learning with map data services is enabling more accurate geospatial analytics, predictive modeling, and automated decision-making, which are critical for industries aiming to improve operational efficiency and customer satisfaction.

Another significant driver fueling market growth is the rapid development of smart city projects worldwide. Governments and public sector organizations are investing heavily in smart infrastructure, which relies on high-quality map data services for urban planning, traffic management, and emergency response. The demand for geocoding and reverse geocoding solutions is surging as municipalities seek to digitize and streamline their operations. Additionally, the automotive industryÂ’s push towards autonomous vehicles and advanced driver-assistance systems (ADAS) is creating a substantial need for highly accurate, real-time mapping and navigation services. These trends collectively are driving the widespread adoption of map data services and fostering innovation in the market.

The shift towards cloud-based deployment models is also playing a pivotal role in the growth of the map data services market. Cloud platforms offer scalability, flexibility, and cost-effectiveness, making them attractive to organizations of all sizes. The availability of cloud-based APIs and software development kits (SDKs) allows businesses to seamlessly integrate mapping functionalities into their applications and workflows. Moreover, the ability to access and update map data in real-time enhances the responsiveness and reliability of location-based services, particularly in industries where time-sensitive decisions are crucial. As more enterprises embrace digital transformation, the demand for cloud-enabled map data services is expected to accelerate further.

Regionally, North America continues to dominate the map data services market, driven by the presence of leading technology providers, high smartphone penetration, and early adoption of advanced mapping solutions. However, Asia Pacific is emerging as a high-growth region, fueled by rapid urbanization, expanding transportation networks, and increasing investments in digital infrastructure. Europe also holds a significant share, supported by regulatory initiatives and the widespread implementation of smart city projects. The Middle East & Africa and Latin America are gradually catching up, with growing interest from governments and private enterprises in leveraging map data for urban development and resource management.

In the evolving landscape of map data services, the introduction of the Map Message Distribution Platform is revolutionizing how geospatial information is disseminated across various sectors. This platform facilitates seamless communication and data sharing between different mapping applications and services, ensuring that users receive the most accurate and up-to-date information. By leveraging advanced algorithms and cloud-based infrastructure, the Map Message Distribut

The size of the Map Data Services market was valued at USD XXX million in 2024 and is projected to reach USD XXX million by 2033, with an expected CAGR of XX% during the forecast period.

This data set contains the Magellan the FMAP, a full-resolution (75 meters/pixel) global mosaic, produced by the U.S. Geological Survey from Magellan F-BIDR data. The complete dataset consists of 340 quadrangles in Sinusoidal equal-area projection. Quadrangles extend approximately 12 degrees in latitude, except for those between 84 and 90 degrees North and South. Quadrangles near the equator extend 12 degrees in longitude longitudinal extent is increased to maintain a roughly constant number of samples.

kaggle-map/data dataset hosted on Hugging Face and contributed by the HF Datasets community

For many people data is seen as abstract information. It is therefore valuable to use Matrixian Map, an interactive map that shows an enormous amount of data in one figure. It helps to make complex analyzes understandable, to see new opportunities and to make data-driven decisions.

With our large amount of consumer, real estate, mobility and logistics data we can design very extensive maps. Whether it concerns a map that shows your (potential) customers, shows on which roofs solar panels can be placed or indicates when shopping areas can be supplied, with our knowledge of households, companies and objects, almost anything is possible!

Google Data with verified US business listings from Google Maps, including locations, reviews, hours, and ratings. This Google Data is updated weekly and fully customizable — ideal for lead scoring, market mapping, location analysis, and CRM enrichment.

Overview

Empower your location data visualizations with our edge-matched polygons, even in difficult geographies.

Our self-hosted geospatial data cover administrative and postal divisions with up to 5 precision levels. All levels follow a seamless hierarchical structure with no gaps or overlaps.

The geospatial data shapes are offered in high-precision and visualization resolution and are easily customized on-premise.

Use cases for the Global Administrative Boundaries Database (Geospatial data, Map data)

• In-depth spatial analysis

• Clustering

• Geofencing

• Reverse Geocoding

• Reporting and Business Intelligence (BI)

Product Features

• Coherence and precision at every level

• Edge-matched polygons

• High-precision shapes for spatial analysis

• Fast-loading polygons for reporting and BI

• Multi-language support

For additional insights, you can combine the map data with:

• Population data: Historical and future trends

• UNLOCODE and IATA codes

• Time zones and Daylight Saving Time (DST)

Data export methodology

Our location data packages are offered in variable formats, including - .shp - .gpkg - .kml - .shp - .gpkg - .kml - .geojson

All geospatial data are optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more.

Why companies choose our map data

• Precision at every level

• Coverage of difficult geographies

• No gaps, nor overlaps

Note: Custom geospatial data packages are available. Please submit a request via the above contact button for more details.

This data set consists of a collection of over 80 map layers displayed on WalkNYC totems installed throughout New York City.

This layer is part of source data for the State of Poverty 2018-2024 Los Angeles County Dashboard.Layers include estimates of total population and population in poverty by demographics at each geography level in LA County.Source: Annual Population and Poverty Estimation, Los Angeles County ISD-Demography.Datasets for all years available in the State of Poverty dashboard:PAI Poverty Map Data 2024PAI Poverty Map Data 2023PAI Poverty Map Data 2022PAI Poverty Map Data 2021PAI Poverty Map Data 2020PAI Poverty Map Data 2019PAI Poverty Map Data 2018 Included Geography LevelsSplit Census TractsCensus TractsCountywide Statistical Areas (CSA)Public Use Microdata Areas (PUMA)Service Planning Area (SPA)Supervisor District (SD)Los Angeles County Split Census Tract and CSA boundaries correspond to the year of the population and poverty estimates. Census Tract, PUMA, SPA, SD, and county boundaries are current as of 2020 US Census. Field NamesPlease see Field Aliases for detailed field names.Field name logic:1st character Race/Ethnicityt = Totala = Asianb = Black or African Americanh = Hispanic or Latinoi = American Indian and Alaska Native (AIAN)p = Pacific Islanderw = White2nd character Gendert = Totalf = Femalem = Male3-4th characters Year2-digit year (2018-22)Possible 5th character Poverty Level (%FPL)a = Below 100% FPLd = Below 200% FPLg = Below 266% FPLRemaining characters after underscoret = Total (all ages)

Map Data Change Detection Market Outlook

According to our latest research, the Global Map Data Change Detection market size was valued at $1.8 billion in 2024 and is projected to reach $5.7 billion by 2033, expanding at a CAGR of 13.8% during 2024–2033. The rapid evolution of geospatial technologies, coupled with the proliferation of high-resolution satellite imagery and aerial data sources, is a primary driver fueling the adoption of map data change detection solutions worldwide. As urbanization accelerates and environmental concerns intensify, organizations across multiple sectors increasingly rely on advanced change detection techniques to monitor, analyze, and respond to spatial changes in near real-time, thereby improving decision-making, operational efficiency, and risk mitigation.

Regional Outlook

North America commands the largest share of the global map data change detection market, accounting for over 38% of total revenue in 2024. This dominance is attributed to the region’s mature geospatial technology ecosystem, robust investments in satellite and aerial imaging infrastructure, and a high concentration of leading technology vendors. The United States, in particular, benefits from well-established government initiatives, such as the USGS and NASA’s Earth observation programs, which drive demand for advanced detection solutions in urban planning, disaster management, and defense sectors. Strong regulatory frameworks, coupled with active public-private partnerships, further encourage innovation and large-scale project deployments, making North America a hub for technological advancements and early adoption in the map data change detection market.

Asia Pacific is emerging as the fastest-growing region, projected to register a remarkable CAGR of 16.2% through 2033. This surge is propelled by rapid urbanization, infrastructure development, and increasing investments in smart city initiatives across China, India, Japan, and Southeast Asia. Governments in these countries are leveraging satellite imagery and AI-powered analytics to address challenges related to land use, environmental monitoring, and disaster resilience. The region’s expanding base of technology startups and academic research collaborations is fostering innovation in detection techniques, while international funding and technology transfer agreements are accelerating market penetration. As a result, Asia Pacific is expected to significantly narrow the gap with North America in terms of market share by the end of the forecast period.

In emerging economies across Latin America, the Middle East, and Africa, the adoption of map data change detection solutions is gaining momentum but faces notable challenges. Limited access to high-resolution imagery, budget constraints, and a shortage of skilled geospatial professionals hinder widespread implementation. However, localized demand is growing, particularly in applications such as agriculture monitoring, natural resource management, and infrastructure development. Policy reforms aimed at digital transformation and international development aid are gradually improving market conditions. As awareness increases and technology costs decrease, these regions are poised to become important growth frontiers, provided that issues related to data accessibility and regulatory standardization are addressed.

Report Scope

GapMaps Live is an easy-to-use location intelligence platform available across 25 countries globally that allows you to visualise your own store data, combined with the latest demographic, economic and population movement intel right down to the micro level so you can make faster, smarter and surer decisions when planning your network growth strategy.

With one single login, you can access the latest estimates on resident and worker populations, census metrics (eg. age, income, ethnicity), consuming class, retail spend insights and point-of-interest data across a range of categories including fast food, cafe, fitness, supermarket/grocery and more.

Some of the world's biggest brands including McDonalds, Subway, Burger King, Anytime Fitness and Dominos use GapMaps Live Map Data as a vital strategic tool where business success relies on up-to-date, easy to understand, location intel that can power business case validation and drive rapid decision making.

Primary Use Cases for GapMaps Live Map Data include:

1. Retail Site Selection - Identify optimal locations for future expansion and benchmark performance across existing locations.
2. Customer Profiling: get a detailed understanding of the demographic profile of your customers and where to find more of them.
3. Analyse your catchment areas at a granular grid levels using all the key metrics
4. Target Marketing: Develop effective marketing strategies to acquire more customers.
5. Marketing / Advertising (Billboards/OOH, Marketing Agencies, Indoor Screens)
6. Customer Profiling
7. Target Marketing
8. Market Share Analysis

Some of features our clients love about GapMaps Live Map Data include: - View business locations, competitor locations, demographic, economic and social data around your business or selected location - Understand consumer visitation patterns (“where from” and “where to”), frequency of visits, dwell time of visits, profiles of consumers and much more. - Save searched locations and drop pins - Turn on/off all location listings by category - View and filter data by metadata tags, for example hours of operation, contact details, services provided - Combine public data in GapMaps with views of private data Layers - View data in layers to understand impact of different data Sources - Share maps with teams - Generate demographic reports and comparative analyses on different locations based on drive time, walk time or radius. - Access multiple countries and brands with a single logon - Access multiple brands under a parent login - Capture field data such as photos, notes and documents using GapMaps Connect and integrate with GapMaps Live to get detailed insights on existing and proposed store locations.

Unlock precise, high-quality Map data covering 164M+ verified locations across 220+ countries. With 50+ enriched attributes including coordinates, building structures, and spatial geometry our dataset provides the granularity and accuracy needed for in-depth spatial analysis. Powered by AI-driven enrichment and deduplication, and backed by 30+ years of expertise, our GIS solutions support industries ranging from mapping and navigation to urban planning and market analysis, helping businesses and organizations make smarter, data-driven decisions.

Key use cases of GIS Data helping our customers :

1. Optimize Mapping & Spatial Analysis : Use GIS data to analyse landscapes, urban infrastructure, and competitor locations, ensuring data-driven planning and decision-making.
2. Enhance Navigation & Location-Based Services : Improve real-time route planning, asset tracking, and EV charging station discovery for seamless location-based experiences.
3. Identify Strategic Sites for Business Expansion : Leverage GIS intelligence to select optimal retail sites, franchise locations, and warehouses with precision.
4. Improve Logistics & Address Accuracy : Streamline delivery networks, validate addresses, and optimize courier routes to boost efficiency and customer satisfaction.
5. Support Environmental & Urban Development Initiatives : Utilize GIS insights for disaster preparedness, sustainable city planning, and land-use management.

MAP Data Authoring and Validation Market Outlook

According to our latest research, the global MAP Data Authoring and Validation market size reached USD 2.47 billion in 2024, propelled by the increasing demand for accurate geospatial data across numerous industries. The market is experiencing robust growth, with a CAGR of 13.2% anticipated from 2025 to 2033, projecting the market to reach USD 7.23 billion by 2033. This surge is primarily driven by the proliferation of smart city projects, autonomous vehicle development, and the integration of advanced mapping solutions in various sectors, as per our most recent analysis.

One of the most significant growth factors for the MAP Data Authoring and Validation market is the escalating adoption of location-based services and real-time navigation systems. Industries such as automotive, telecommunications, and urban planning are increasingly reliant on precise mapping data to enable advanced functionalities, including autonomous driving, network planning, and infrastructure development. The evolution of smart transportation and the need for enhanced situational awareness in both civilian and defense sectors further amplify the demand for high-quality map data. Additionally, the integration of artificial intelligence and machine learning algorithms in map data authoring processes has significantly improved the accuracy and speed of data validation, making these solutions indispensable for organizations aiming to maintain a competitive edge in a data-driven landscape.

Another prominent driver is the growing importance of geographic information systems (GIS) in decision-making processes across multiple verticals. As businesses and governments increasingly leverage spatial data analytics for strategic planning, the need for robust map data authoring and validation tools has surged. The expansion of 5G networks and the Internet of Things (IoT) ecosystem has also necessitated the deployment of detailed and up-to-date geospatial datasets to optimize network performance and resource allocation. Furthermore, regulatory frameworks mandating the use of accurate geospatial data for safety and compliance purposes in sectors such as aviation and maritime are fueling the adoption of advanced map data validation solutions.

The market is also witnessing substantial investments in research and development aimed at enhancing the capabilities of map data authoring platforms. Technological advancements, such as cloud-based geospatial data management and the incorporation of real-time data feeds from satellites, drones, and sensors, are transforming the landscape of map data creation and validation. These innovations facilitate the generation of high-resolution, dynamic maps that are critical for applications ranging from urban mobility to environmental monitoring. As the complexity and volume of geospatial data continue to grow, the demand for scalable and automated map data authoring and validation solutions is expected to escalate, further accelerating market expansion.

Regionally, North America continues to dominate the MAP Data Authoring and Validation market, accounting for the largest share in 2024, followed closely by Europe and Asia Pacific. The presence of leading technology providers, high adoption rates of advanced mapping solutions, and substantial investments in smart infrastructure projects are key factors driving regional growth. Asia Pacific, in particular, is emerging as a high-growth region, fueled by rapid urbanization, government initiatives to digitize infrastructure, and the expansion of automotive and telecommunications sectors. Meanwhile, Europe’s focus on sustainable urban development and stringent regulatory standards for geospatial data accuracy further bolster market prospects in the region. Latin America and the Middle East & Africa, while currently accounting for smaller shares, are expected to witness increased adoption of map data solutions as digital transformation initiatives gain momentum.

Component Analysis

The MAP Data Authoring and Validation market is segmented by component into Software and Services, each playing a pivotal role in the ecosystem. Software solutions form the backbone of map data authoring and validation, offering robust platforms for data creation, editing, and verification. These tools leverage advanced algorithms, machine learning, and artificial intelligence to streamline the proce

Map data adapted to the scale range 1:25,000 to 1:100 000. The product has a content corresponding to the paper map series Norway 1:50 000 with the exception of bathymetry (depths). Topics included in the product are land cover (water, landscaping, etc), administrative areas, buildings and facilities, altitude, restricted areas, transport and place names. N50 Mapdata covers mainland Norway and is limited by the national border with neighbouring countries and the territorial boundary in the sea. The product is cartographically edited for presentation on a scale 1:50 000.\

N50 Map data is continuously updated and distributed weekly.

Map Data Platform Market Outlook

According to our latest research, the global map data platform market size stood at USD 6.42 billion in 2024, reflecting robust growth momentum driven by the increasing integration of geospatial intelligence across industries. The market is projected to expand at a CAGR of 13.1% from 2025 to 2033, reaching a forecasted value of USD 19.11 billion by 2033. This growth is primarily fueled by the rising adoption of location-based services, the proliferation of connected devices, and the need for advanced navigation and mapping solutions across key verticals.

One of the major growth factors propelling the map data platform market is the exponential rise in connected devices and the Internet of Things (IoT) ecosystem. With billions of devices generating vast amounts of location data, organizations are leveraging advanced map data platforms to derive actionable insights, optimize operations, and enhance customer experiences. The automotive sector, in particular, is witnessing significant transformation with the integration of real-time mapping and navigation solutions in autonomous vehicles and advanced driver-assistance systems (ADAS). Additionally, the surge in demand for precise geospatial data in logistics, urban planning, and smart city initiatives is creating new avenues for market expansion. The ability of map data platforms to offer high-accuracy, real-time mapping, and visualization capabilities is becoming indispensable for businesses aiming to maintain a competitive edge in the digital landscape.

Another critical growth driver is the increasing reliance on location-based services (LBS) across various consumer and enterprise applications. Retailers are utilizing map data platforms to enhance in-store navigation and deliver personalized marketing campaigns, while the BFSI sector is leveraging geospatial analytics for fraud detection and risk assessment. Furthermore, government and public sector organizations are adopting these platforms to improve emergency response, infrastructure management, and public safety initiatives. The integration of artificial intelligence and machine learning algorithms with map data platforms is further amplifying their value proposition by enabling predictive analytics, automated asset tracking, and advanced geocoding capabilities. As organizations continue to digitize their operations, the demand for scalable, secure, and interoperable map data solutions is expected to surge.

The rapid advancements in cloud computing and data analytics are also catalyzing the growth of the map data platform market. Cloud-based deployment models offer unparalleled scalability, flexibility, and cost-efficiency, enabling organizations of all sizes to access sophisticated mapping and visualization tools without significant upfront investments. This democratization of geospatial technology is fostering innovation across industries, from small and medium enterprises to large multinational corporations. Moreover, the emergence of open data initiatives and the proliferation of high-resolution satellite imagery are enhancing the quality and granularity of map data, empowering businesses to make more informed decisions. The convergence of these technological trends is expected to sustain the marketÂ’s upward trajectory over the forecast period.

The rise of Geo DNS Platform technology is playing a pivotal role in enhancing the performance and reliability of map data platforms. By intelligently directing user requests to the nearest or most optimal server location, Geo DNS Platforms ensure faster response times and improved user experiences. This is particularly beneficial for applications requiring real-time data processing and delivery, such as navigation and location-based services. As the demand for seamless and efficient geospatial solutions grows, the integration of Geo DNS Platforms is becoming increasingly important for businesses aiming to provide uninterrupted and high-quality services to their customers.

Regionally, North America continues to dominate the map data platform market, accounting for the largest revenue share in 2024, followed closely by Europe and Asia Pacific. The strong presence of leading technology providers, coupled with high digital adoption rates and significant investments in smart infrastructure, underpins the regionÂ’s market leadership. M

Data and code for Revealing schematic map designs with preservation of relative relations in existing official maps

Explore APISCRAPY, your AI-powered Google Map Data Scraper. Easily extract Business Location Data from Google Maps and other platforms. Seamlessly access and utilize publicly available map data for your business needs. Scrape All Publicly Available Data From Google Maps & Other Platforms.

Map Data Services Market Outlook

According to our latest research, the global map data services market size reached USD 7.8 billion in 2024, reflecting robust momentum driven by the proliferation of location-based technologies and digital transformation across industries. The market is poised for sustained expansion, projected to attain a value of USD 18.9 billion by 2033, growing at a healthy CAGR of 10.3% during the forecast period. This growth is primarily fueled by increasing demand for real-time geospatial intelligence, the integration of Internet of Things (IoT) with mapping platforms, and the rising adoption of advanced analytics for business and urban planning solutions.

The surge in demand for accurate and real-time geographic information systems (GIS) is a key driver for the map data services market. Organizations across transportation, logistics, and government sectors are increasingly leveraging map data services for efficient route optimization, fleet management, and disaster response. The expansion of smart cities and the need for intelligent urban infrastructure have led to a significant uptick in the use of data visualization and analytics tools. Additionally, the proliferation of connected devices and the integration of artificial intelligence (AI) in mapping platforms are enabling enhanced predictive analytics and automation, further propelling market growth. The push towards digital transformation and the emergence of Industry 4.0 have made map data services indispensable for enterprises seeking to optimize operations and gain actionable insights from spatial data.

Another critical growth factor is the widespread adoption of location-based services (LBS) in consumer applications. With the increasing penetration of smartphones and mobile internet, end-users are demanding more personalized and context-aware services, ranging from navigation and ride-hailing to targeted marketing and retail analytics. This trend has prompted businesses to invest heavily in data hosting and mapping capabilities to deliver seamless user experiences. Moreover, advancements in cloud computing have democratized access to sophisticated mapping tools, enabling small and medium enterprises to harness the power of geospatial data without significant upfront investments. The continued evolution of mapping APIs and integration with third-party platforms is also opening new avenues for innovation, particularly in retail, utilities, and telecom sectors.

The market is also witnessing a paradigm shift towards cloud-based deployment models, which offer scalability, cost-effectiveness, and ease of integration with existing IT infrastructure. Cloud-based map data services are gaining traction among enterprises seeking to manage large volumes of spatial data, facilitate real-time collaboration, and ensure business continuity. This shift is further accelerated by the growing need for remote accessibility and the increasing frequency of natural disasters, which demand agile and resilient mapping solutions for disaster management and urban planning. The convergence of big data analytics, machine learning, and cloud technologies is expected to drive the next wave of innovation in the map data services market, enabling organizations to extract deeper insights and make data-driven decisions with greater precision.

From a regional perspective, North America remains the largest market for map data services, owing to the presence of leading technology providers, high digital adoption rates, and significant investments in smart infrastructure. Asia Pacific, however, is emerging as the fastest-growing region, driven by rapid urbanization, government initiatives for smart cities, and the proliferation of mobile technologies. Europe continues to exhibit steady growth, supported by robust regulatory frameworks and increased focus on sustainable urban development. Meanwhile, Latin America and the Middle East & Africa are gradually catching up, fueled by infrastructure modernization and the expansion of digital services. The regional landscape underscores the global nature of the map data services market, with each geography presenting unique opportunities and challenges.

Service Type Analysis

The map data services market is segmented by service type into data hosting, data mapping, data visualization, data analytics, and others. Data hosting has become a fundamental pillar, as organizations increasingly require secure, scalable, and reliable platforms to store and manage vast volumes

Context

Map data from Natural Earth.

This data set contains the cultural and physical vector data sets only. It does not contain the raster format data. Cultural data contains map data on countries, states, boundaries, roads, railways, airports, ports, urban areas, etc.

Data are organized by scale, see here for details: - 110m: 1:110,000,000, suitable for schematic maps of the world on a postcard or as a small locator globe. - 50m: 1:50,000,000, suitable for making zoomed-out maps of countries and regions. Show the world on a tabloid size page. - 10m: 1:10,000,000, the most detailed. Suitable for making zoomed-in maps of countries and regions. Show the world on a large wall poster.

Acknowledgements

Made with Natural Earth. Free vector and raster map data @ naturalearthdata.com.