World Cities provides a basemap layer for the cities of the world. The cities include national capitals, provincial capitals, major population centers, and landmark cities. Population estimates are provided for those cities listed in open source data from the United Nations Statistics Division, United Nations Human Settlements Programme, and U.S. Census Bureau.

A large number of European cities are covered by this dataset; for each city you can find one or more Cartosat-1 ortho image products and one or more Euro-Maps 3D DSM tiles clipped to the extent of the ortho coverage. The Euro-Maps 3D DSM is a homogeneous, 5 m spaced Digital Surface Model semi-automatically derived from 2.5 m Cartosat-1 in-flight stereo data with a vertical accuracy of 10 m. The very detailed and accurate representation of the surface is achieved by using a sophisticated and well adapted algorithm implemented on the basis of the Semi-Global Matching approach. The final product includes several pixel-based quality and traceability layers: The dsm layer (_dsm.tif) contains the elevation heights as a geocoded raster file The source layer (_src.tif) contains information about the data source for each height value/pixel The number layer (_num.tif) contains for each height value/pixel the number of IRS-P5 Cartosat-1 stereo pairs used for the generation of the DEM The quality layer (_qc.tif) is set to 1 for each height/pixel value derived from IRS-P5 Cartosat-1 data and which meets or exceeds the product specifications The accuracy vertical layer (*_acv.tif) contains the absolute vertical accuracy for each quality controlled height value/pixel. The ortho image is a Panchromatic image at 2.5 m resolution. The following table defines the offered product types. EO-SIP product type Description PAN_PAM_3O IRS-P5 Cartosat-1 ortho image DSM_DEM_3D IRS-P5 Cartosat-1 DSM

This layer is intended for researchers, students, and policy makers for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production, or to provide a basemap to support graphical overlays and analysis with other spatial data.

Cities are major drivers of environmental change at all scales and are especially at risk from the ensuing effects, which include poor air quality, flooding and heat waves. Typically, these issues are studied on a city-by-city basis owing to the spatial complexity of built landscapes, local topography and emission patterns. However, to ensure knowledge sharing and to integrate local-scale processes with regional and global scale modelling initiatives, there is a pressing need for a world-wide database on cities that is suited for environmental studies. In this paper we present a European database that has a particular focus on characterising urbanised landscapes. It has been derived using tools and techniques developed as part of the World Urban Database and Access Portal Tools (WUDAPT) project, which has the goal of acquiring and disseminating climate-relevant information on cities worldwide. The European map is the first major step toward creating a global database on cities that can be integrated with existing topographic and natural land-cover databases to support modelling initiatives.

ESA, in collaboration with European Space Imaging, has collected this WorldView-2 dataset covering the most populated areas in Europe at 40 cm resolution. The products have been acquired between July 2010 and July 2015. Spatial coverage: Check the spatial coverage of the collection on a map available on the Third Party Missions Dissemination Service.

National Geographic's classic political map of Europe features country boundaries, thousands of place names, waterbodies, airports, major highways and roads, national parks, and much more. Includes the countries and major cities of Albania, Armenia, Austria, Azerbaijan, Belarus, Belgium, Bosnia & Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Georgia, Germany, Greece, Hungary, Iceland, Ireland, Italy, Kosovo, Latvia, Liechtenstein, Lithuania, Luxembourg, Macedonia, Moldova, Montenegro, The Netherlands, Norway, Poland, Portugal, Romania, Russia, Serbia, Slovakia, Slovenia, Spain, Sweden, Switzerland, Turkey, Ukraine, and the United Kingdom.>> Order print map <<

Amsterdam is set to maintain its position as Europe's most expensive city for apartment rentals in 2025, with median costs reaching 2,500 euros per month for a furnished unit. This figure is double the rent in Prague and significantly higher than other major European capitals like Paris, Berlin, and Madrid. The stark difference in rental costs across European cities reflects broader economic trends, housing policies, and the complex interplay between supply and demand in urban centers. Factors driving rental costs across Europe The disparity in rental prices across European cities can be attributed to various factors. In countries like Switzerland, Germany, and Austria, a higher proportion of the population lives in rental housing. This trend contributes to increased demand and potentially higher living costs in these nations. Conversely, many Eastern and Southern European countries have homeownership rates exceeding 90 percent, which may help keep rental prices lower in those regions. Housing affordability and market dynamics The relationship between housing prices and rental rates varies significantly across Europe. As of 2024, countries like Turkey, Iceland, Portugal, and Hungary had the highest house price to rent ratio indices. This indicates a widening gap between property values and rental costs since 2015. The affordability of homeownership versus renting differs greatly among European nations, with some countries experiencing rapid increases in property values that outpace rental growth. These market dynamics influence rental costs and contribute to the diverse rental landscape observed across European cities.

This layer is intended for researchers, students, and policy makers for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production, or to provide a basemap to support graphical overlays and analysis with other spatial data.

The high-precision 3D map market is experiencing robust growth, driven by the increasing demand for autonomous vehicles, advanced driver-assistance systems (ADAS), and smart city initiatives. The market's expansion is fueled by the need for highly accurate and detailed 3D representations of the environment, enabling safer and more efficient navigation and automation. While precise market sizing data is unavailable, considering a hypothetical CAGR of 25% (a reasonable estimate based on the rapid technological advancements and burgeoning applications in this sector) and a 2025 market value of $5 billion (a plausible figure given the scale of related markets like ADAS and autonomous vehicles), we can project significant growth through 2033. This growth is further propelled by continuous improvements in sensor technology (LiDAR, cameras, etc.), data processing capabilities, and the development of sophisticated mapping algorithms. Key segments driving market expansion include automotive, infrastructure management, and robotics. Companies like Mapbox, Baidu Maps, and HERE Technologies are leading players, investing heavily in R&D to enhance map accuracy and functionality, while also facing the challenge of data acquisition and management costs, as well as potential regulatory hurdles concerning data privacy and security. The market is segmented based on application (automotive, robotics, smart cities, etc.), technology (LiDAR, camera-based mapping, etc.), and geography. Significant regional variations are expected, with North America and Europe anticipated to hold a considerable market share initially due to higher adoption rates of autonomous driving technologies. However, rapid growth is also expected in the Asia-Pacific region, fueled by increasing investments in infrastructure development and the rising popularity of connected vehicles. Restraints include high initial investment costs for data acquisition and processing, the complexity of integrating high-precision maps with existing navigation systems, and the need for continuous map updates to account for dynamic changes in the environment. Nevertheless, the long-term prospects for the high-precision 3D map market remain positive, with continued technological innovation and increasing demand expected to drive substantial growth in the coming years.

A comprehensive index of air conditioning penetration rates across major cities, towns, and metro areas in Europe. Includes real-world percentage estimates, climatology charts, heat maps, and expert insights for global relocation and housing decisions.

The dataset contains GIS data and JPEG maps of nature-based solution scenarios and related benefits in three case-study cities partners of the H2020 project Naturvation (https://naturvation.eu/): Barcelona (Spain), Malmö (Sweden), and Utrecht (the Netherlands). The data were produced as part of the research described in the article “Scaling up nature-based solutions for climate-change adaptation: potential and benefits in three European cities”, published in Urban Forestry & Urban Greening (doi:10.1016/j.ufug.2021.127450). The dataset is structured into three main folders, one for each city. Each folder contains six raster maps of land cover under different scenarios, a vector map with the results of the assessment of the selected benefits at the local level, and a sub-folder with the benefit maps printed in JPEG format. The six scenarios include the current condition (Baseline - LC); four scenarios that simulates the full-scale implementation of one specific type of nature-based solutions: installing green roofs (GreenRoofs - GR), de-sealing parking areas (ParkingAreas - PA), enhancing vegetation in urban parks (Parks - PK), and planting street trees (StreetTrees - ST); and a scenario considering the contemporaneous implementation of all four types of nature-based solutions (GreenDream - GD). The simulated full-scale implementation is based on space availability and technical feasibility: other constraints to the implementation of nature-based solutions are not considered. The five benefits assessed include two benefits related to climate change adaptation, i.e. heat mitigation (HM) and runoff reduction (RR), and three co-benefits, namely carbon storage (CS), biodiversity potential (BP), and overall greenness (OG). The vector maps and related JPEG prints show the results of the assessment at the block level. Blocks are based on a modified version of Urban Atlas polygons obtained by removing streets and railroads. Maps have coordinate reference system UTRS89 - LAEA Europe (EPSG:3035) and cover the whole administrative territory of the respective city, excluding the sea. Raster maps are provided in Geotiff format, UInt 16, with a resolution of 1 m. The legend includes eight land cover classes: water (0), trees (1), low vegetation (2), impervious (4), agriculture (5), buildings (10), green roofs (11), vegetation over water (13), permeable parking areas (14). The attribute tables of the vector maps store the value of the selected benefits for each block, together with the links to the original Urban Atlas polygons. Scenarios and benefits are identified by their two-letter codes as reported above. The printed JPEG maps of benefits have a common legend, to allow for comparison between cities.

AV HD Map Change Detection Market Outlook

According to our latest research, the global AV HD Map Change Detection market size has reached USD 1.42 billion in 2024, reflecting rapid advancements in autonomous vehicle (AV) technologies and smart mobility solutions. The market is experiencing robust growth, with a recorded CAGR of 17.8% from 2025 to 2033. At this pace, the AV HD Map Change Detection market is forecasted to reach a substantial USD 6.18 billion by 2033. The primary growth driver is the increasing adoption of autonomous vehicles and advanced driver assistance systems (ADAS), which demand real-time, high-precision map updates for safe navigation and operational efficiency.

The AV HD Map Change Detection market is being propelled by several dynamic growth factors. One of the most significant is the exponential rise in autonomous vehicle deployment across both commercial and passenger segments. As AVs rely heavily on high-definition (HD) maps for precise localization, navigation, and decision-making, the need for real-time change detection in map data has become crucial. This is particularly important in urban environments where road conditions, signage, and infrastructure are subject to frequent changes. The integration of advanced sensor technologies, such as LiDAR, cameras, and radar, enables continuous monitoring and updating of HD maps, thereby enhancing the accuracy and reliability of autonomous driving systems. As the automotive industry continues to prioritize safety and efficiency, the demand for sophisticated change detection solutions is expected to surge.

Another key growth factor is the increasing collaboration between automotive OEMs, mapping service providers, and technology companies. These partnerships are fostering innovation in map data acquisition, processing, and distribution. The emergence of crowdsourced data and sensor fusion techniques is revolutionizing the way HD maps are updated, allowing for more scalable and cost-effective solutions. Governments and transportation agencies are also playing a pivotal role by investing in smart infrastructure and regulatory frameworks that support the deployment of AVs and intelligent transportation systems. These initiatives are not only accelerating the adoption of AV HD Map Change Detection solutions but also creating new opportunities for market players to expand their offerings and reach.

The proliferation of smart cities and connected infrastructure is further augmenting the growth of the AV HD Map Change Detection market. As urban areas become increasingly digitized, the integration of real-time mapping and change detection capabilities is essential for optimizing traffic management, enhancing public safety, and enabling seamless mobility services. The convergence of Internet of Things (IoT) devices, edge computing, and artificial intelligence (AI) is enabling the development of highly responsive and adaptive mapping solutions. This trend is expected to drive significant investments in research and development, leading to the introduction of next-generation AV HD Map Change Detection technologies that can cater to the evolving needs of smart mobility ecosystems.

From a regional perspective, North America currently dominates the AV HD Map Change Detection market, driven by the presence of leading technology companies, robust infrastructure, and favorable regulatory environments. However, Asia Pacific is emerging as a key growth region, fueled by rapid urbanization, increasing investments in autonomous mobility, and the expansion of smart city projects. Europe is also witnessing significant growth, supported by strong government initiatives and a focus on sustainable transportation solutions. As the market continues to evolve, regional dynamics are expected to play a critical role in shaping the competitive landscape and driving innovation in AV HD Map Change Detection technologies.

Component Analysis

The AV HD Map Change Detection market is segmented by component into software, hardware, and services, each playing a vital role in the overall ecosystem. The software segment is the backbone of change detection systems, encompassing sophisticated algorithms and platforms that process and analyze sensor data to identify changes in the environment. Advanced software solutions leverage machine learning, computer vision, and data fusion techniques to deliver high-precision map updates in real time. The continuous evolution of software capabilities is enabli

Low Emission Zone Map Services Market Outlook

According to our latest research, the Global Low Emission Zone Map Services market size was valued at $1.2 billion in 2024 and is projected to reach $4.8 billion by 2033, expanding at a CAGR of 16.2% during 2024–2033. The primary driver behind this robust growth is the increasing adoption of stringent environmental regulations and urban sustainability initiatives worldwide, compelling municipalities and enterprises to deploy advanced digital mapping and compliance solutions for low emission zones (LEZs). As cities strive to reduce air pollution and meet climate targets, the demand for accurate, real-time, and scalable LEZ map services is surging, especially among governments, transportation networks, and logistics providers seeking to optimize routes, reduce emissions, and avoid regulatory penalties.

Regional Outlook

Europe currently commands the largest share of the Low Emission Zone Map Services market, accounting for over 45% of global revenue in 2024. This dominance is primarily attributed to the region’s early adoption of low emission zones, particularly in countries like the United Kingdom, Germany, France, and the Netherlands. These countries have established mature regulatory frameworks and have invested heavily in digital infrastructure, enabling seamless integration of mapping, navigation, and compliance verification services. The presence of leading technology vendors and robust public-private partnerships further bolster the market, as cities like London, Paris, and Berlin continue to expand their LEZ boundaries and digitize enforcement mechanisms. The European Union’s Green Deal and Fit for 55 policies provide a cohesive regulatory backdrop, ensuring continued investment and innovation in this space.

Asia Pacific is poised to be the fastest-growing region, with a projected CAGR of 20.3% from 2024 to 2033. Rapid urbanization, rising vehicular emissions, and increasing government focus on sustainable city initiatives are key factors driving market acceleration in countries such as China, Japan, South Korea, and India. Major metropolitan areas like Beijing, Shanghai, Tokyo, and Seoul are piloting or expanding LEZs, necessitating sophisticated mapping and compliance solutions. Significant investments in smart city infrastructure, combined with the proliferation of cloud-based map services and mobile applications, are enabling both public agencies and private fleet operators to monitor and manage emissions more effectively. The region’s dynamic mobility ecosystem, characterized by the rise of electric vehicles and connected transport platforms, further amplifies demand for integrated LEZ map services.

Emerging economies in Latin America and the Middle East & Africa are gradually adopting low emission zone initiatives, albeit at a slower pace due to infrastructural and regulatory challenges. In cities like São Paulo, Mexico City, Dubai, and Cape Town, localized pilot programs and public awareness campaigns are beginning to drive demand for LEZ map services, particularly in urban planning and public transportation applications. However, barriers such as limited digital infrastructure, fragmented policy frameworks, and budgetary constraints continue to impede widespread adoption. Nonetheless, international development agencies and technology providers are increasingly collaborating with local governments to bridge these gaps, offering tailored solutions and capacity-building programs that address unique regional requirements.

Report Scope

The raster dataset of urban heat island modelling shows the fine-scale (100m pixel size) temperature differences (in degrees Celsius °C) across 100 European cities, depending on the land use, soil sealing, anthropogenic heat flux, vegetation index and climatic variables such as wind speed and incoming solar radiation.

In the framework of the Copernicus European Health contract for the Copernicus Climate Change Service (C3S), VITO provided 100m resolution hourly temperature data (2008-2017) for 100 European cities, based on simulations with the urban climate model UrbClim (De Ridder et al., 2015). As the cities vary in size, so do the model domains. They have been defined with the intention to have a more or less constant ratio of urban vs. non-urban pixels (as defined in the CORINE land use map), with a maximum of 400 by 400 pixels (due to computational restraints). From this data set, the average urban heat island intensity is mapped for the summer season (JJA), which is the standard way of working in the scientific literature (e.g. Dosio, 2016). The UHI is calculated by subtracting the rural (non-water) spatial P10 temperature value from the average temperature map.

The 100 European cities for the urban simulations were selected based on user requirements within the health community.

This data set contains the potential impact of floods on population, land use (agriculture, urban) and infrastructures (major roads) for the whole of Europe (aggregated over NUTS regions), based on the EFAS flood forecast.

The methodology in brief: Event-based hazard maps (see "CEMS EFAS rapid flood mapping") are combined with exposure information to assess several categories of impacts, aggregated at regional scale. Affected population, roads and cities are computed using related maps at European scale. The extension of urban and agricultural areas affected is computed using the Corine Land Cover. Direct economic losses are computed combining the Corine map with flood hazard variables (flood extent and depths) and a set of damage functions derived for European countries.

The information contained in this dataset includes: - estimation of likelihood and impact - population affected (nr. of people) - total roads affected (km) - artificial, agricultural, forest and seminatural surfaces affected (ha) - potential monetary damage (Euro) - cities affected - potentially avoidable damage (Euro)

This information is produced by the operational EFAS (www.efas.eu) in order to provide the EFAS partners with a rapid impact assessment affiliated to the flood forecast.

The update frequency of this data set is twice a day (00:00 and 12:00 UTC); and the spatial coverage is the extended geographic Europe.

Note: updates to this beta layer are currently paused while we sync new versions of the OSM layers for Europe.This feature layer provides access to OpenStreetMap (OSM) point of interest (POI) data for Europe, which is updated every 1-2 minutes with the latest edits. This hosted feature layer view is referencing a hosted feature layer of OSM point (node) data in ArcGIS Online that is updated with minutely diffs from the OSM planet file. This feature layer view includes POI features defined as a query against the hosted feature layer for amenity, shop, and tourism, features (e.g. amenity is not blank or shop is not blank or tourism is not blank).In OSM, an amenity is a useful and important facility for visitors and residents, such as places of worship or school, and a shop is a place selling retail products or services, such as a supermarket or florist. Tourism features are places and things of specific interest to tourists including places to see, places to stay, things and places providing information and support to tourists. These features are identified with an amenity tag, shop tag, or tourism tag.Zoom in to large scales (e.g. Cities level or 1:160k scale) to see the POI features display. You can click on the feature to get the name of the POI. The name of the POI will display by default at very large scales (e.g. Building level of 1:2k scale). Labels can be turned off in your map if you prefer.Create New LayerIf you would like to create a more focused version of this POI layer displaying just one or two types, you can do that easily! Just add the layer to a map, copy the layer in the content window, add a filter to the new layer (e.g. amenity is bar or shop is alcohol), rename the layer as appropriate, and save layer. You can also change the layer symbols or popup if you like. Esri may publish a few such layers that are ready to use, but not for every type of POI.Important Note: if you do create a new layer, it should be provided under the same Terms of Use and include the same Credits as this layer. You can copy and paste the Terms of Use and Credits info below in the new Item page as needed.

This feature layer provides access to OpenStreetMap (OSM) point of interest (POI) data for Europe, which is updated periodically with the latest edits. This hosted feature layer view is referencing a hosted feature layer of OSM point (node) data in ArcGIS Online that is updated with minutely diffs from the OSM planet file. This feature layer view includes POI features defined as a query against the hosted feature layer for amenity, shop, and tourism, features (e.g. amenity is not blank or shop is not blank or tourism is not blank).Note: due to the size of data and volume of edits, the OSM layers for Europe currently reflect edits made within the last 30 days.In OSM, an amenity is a useful and important facility for visitors and residents, such as places of worship or school, and a shop is a place selling retail products or services, such as a supermarket or florist. Tourism features are places and things of specific interest to tourists including places to see, places to stay, things and places providing information and support to tourists. These features are identified with an amenity tag, shop tag, or tourism tag.Zoom in to large scales (e.g. Cities level or 1:160k scale) to see the POI features display. You can click on the feature to get the name of the POI. The name of the POI will display by default at very large scales (e.g. Building level of 1:2k scale). Labels can be turned off in your map if you prefer.Create New LayerIf you would like to create a more focused version of this POI layer displaying just one or two types, you can do that easily! Just add the layer to a map, copy the layer in the content window, add a filter to the new layer (e.g. amenity is bar or shop is alcohol), rename the layer as appropriate, and save layer. You can also change the layer symbols or popup if you like. Esri may publish a few such layers that are ready to use, but not for every type of POI.Important Note: if you do create a new layer, it should be provided under the same Terms of Use and include the same Credits as this layer. You can copy and paste the Terms of Use and Credits info below in the new Item page as needed.

Noise Map Analytics for Cities Market Outlook

As per the latest research, the global Noise Map Analytics for Cities market size in 2024 stands at USD 1.26 billion, with a robust CAGR of 11.8% expected from 2025 to 2033. By 2033, the market is forecasted to reach a substantial USD 3.14 billion, driven by the increasing demand for urban noise management solutions, rapid urbanization, and stringent regulatory frameworks aimed at improving urban livability and public health. The market's accelerated growth is primarily attributed to the integration of advanced analytics, IoT-enabled sensors, and the growing recognition of the adverse effects of noise pollution on urban populations.

One of the major growth factors for the Noise Map Analytics for Cities market is the heightened focus on sustainable urban development. Cities worldwide are experiencing unprecedented population growth, leading to increased vehicular traffic, construction activities, and industrial operations—all of which contribute to elevated noise levels. Urban planners and municipal authorities are increasingly turning to sophisticated noise mapping and analytics platforms to identify noise hotspots, forecast future noise trends, and implement mitigation strategies. These solutions not only aid in regulatory compliance but also enhance the overall quality of life for urban residents by helping to design quieter, healthier urban environments.

Another significant driver is the advancement in sensor technology and data analytics. The proliferation of IoT devices and smart city initiatives has enabled real-time data collection and analysis at a granular level. Modern noise map analytics platforms leverage machine learning and artificial intelligence to process vast amounts of acoustic data, delivering actionable insights for city administrators. This technological evolution is empowering cities to move from reactive to proactive noise management, optimizing traffic flows, zoning regulations, and urban infrastructure planning based on accurate noise exposure data. As a result, the market is witnessing increased investments from both public and private sectors, further accelerating its expansion.

Regulatory pressures and public awareness are also pivotal in shaping the growth trajectory of the Noise Map Analytics for Cities market. Governments across the globe are enacting stringent noise control laws and environmental standards, compelling municipalities and industries to adopt advanced noise monitoring and mapping solutions. Moreover, rising public consciousness regarding the health impacts of chronic noise exposure—such as cardiovascular diseases, sleep disturbances, and reduced cognitive performance—has spurred demand for transparent, data-driven noise management policies. This confluence of regulatory and societal drivers is expected to sustain high growth rates for the market throughout the forecast period.

From a regional perspective, Europe continues to lead the Noise Map Analytics for Cities market, owing to its comprehensive environmental policies and early adoption of smart city technologies. However, the Asia Pacific region is emerging as the fastest-growing market, propelled by rapid urbanization, massive infrastructural developments, and increasing government investments in smart city projects. North America also maintains a significant share, driven by robust technological infrastructure and growing awareness of urban noise issues. Each region presents unique growth opportunities and challenges, reflecting varying levels of regulatory maturity, urbanization rates, and technological adoption.

Component Analysis

The Component segment of the Noise Map Analytics for Cities market is categorized into software, hardware, and services, each playing a critical role in the end-to-end deployment of noise mapping solutions. Software solutions form the backbone of noise analytics, encompassing platforms that aggregate, visualize, and analyze acoustic data collected from diverse sources. These platforms are increasingly integrating advanced features such as predictive modeling, real-time data processing, and AI-driven anomaly detection, making them indispensable for urban planners and environmental agencies. The rapid evolution of software capabilities is a key factor propelling the overall market, as cities demand more sophisticated and user-friendly interfaces for noise management.

Live Map Streaming SDK Market Outlook

According to our latest research, the Live Map Streaming SDK market size reached USD 1.42 billion globally in 2024. The market is experiencing robust growth, registering a CAGR of 15.7% from 2025 to 2033. By the end of 2033, the market is forecasted to surpass USD 5.29 billion, fueled by the accelerating demand for real-time geospatial intelligence and the growing integration of advanced mapping technologies across diverse industries. The increasing adoption of connected vehicles, smart city initiatives, and the proliferation of location-based services are primary growth factors propelling the market forward, as per our comprehensive market analysis.

One of the most significant growth drivers for the Live Map Streaming SDK market is the rapid digital transformation across industries such as automotive, transportation, logistics, and smart cities. The need for real-time, dynamic, and interactive mapping solutions has never been greater, especially as businesses and governments strive to enhance operational efficiency, safety, and user experience. The integration of live map streaming SDKs into vehicle navigation systems, fleet management platforms, and urban infrastructure is enabling organizations to harness real-time data for informed decision-making. This trend is further amplified by the rise of autonomous vehicles and the demand for seamless, always-updated geospatial information, which is critical for route optimization, incident management, and urban mobility planning. The convergence of IoT, 5G connectivity, and AI-powered analytics with mapping solutions is also fostering innovation, thereby expanding the addressable market for live map streaming SDKs.

Another pivotal factor contributing to the market’s expansion is the evolution of cloud computing and edge technologies, which have made it possible to process and deliver live map data at unprecedented speeds and scales. Cloud-based deployment models are enabling organizations to access, update, and distribute mapping content in real time, regardless of geographical constraints. This has proven invaluable for sectors such as logistics and transportation, where real-time traffic monitoring and route adjustments can lead to significant cost savings and improved customer satisfaction. Additionally, the growing emphasis on location-based services in retail, travel, and hospitality is driving the adoption of live map streaming SDKs, as businesses seek to deliver personalized, context-aware experiences to customers. The ability to seamlessly integrate live mapping capabilities into mobile apps, web platforms, and enterprise solutions is a key differentiator, further accelerating market growth.

The increasing need for scalable, secure, and customizable mapping solutions is also shaping the trajectory of the Live Map Streaming SDK market. Enterprises are looking for SDKs that not only provide high-performance streaming of geospatial data but also support integration with various third-party APIs, analytics tools, and visualization frameworks. The demand for end-to-end mapping solutions that cater to unique business requirements, such as indoor navigation, asset tracking, and geofencing, is on the rise. This has led to a surge in partnerships and collaborations between SDK providers, cloud service vendors, and industry-specific solution developers. Furthermore, regulatory initiatives around smart city development, environmental monitoring, and disaster response are creating new opportunities for live map streaming SDKs, as governments invest in digital infrastructure to enhance public safety and urban resilience.

From a regional perspective, North America continues to dominate the Live Map Streaming SDK market due to its strong technology ecosystem, high penetration of connected devices, and early adoption of smart mobility solutions. However, Asia Pacific is emerging as the fastest-growing region, driven by rapid urbanization, expanding transportation networks, and increasing investments in smart city projects. Europe is also witnessing significant growth, supported by regulatory mandates for intelligent transportation systems and the proliferation of automotive innovation hubs. Latin America and the Middle East & Africa are gradually catching up, with governments and enterprises recognizing the value of real-time mapping for economic development and public service delivery. The interplay of regional dynamics, technology adoption rates, and regulatory frameworks will continue to

Mature Support Notice: This item is in mature support as of July 2021. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. This worldwide street map presents highway-level data for the world down to ~1:72k. Street-level data down to ~1:4k includes the United States; most of Canada; Japan; Europe; much of Russia; Australia and New Zealand; India; most of the Middle East; South America; Central America; and Africa. Coverage in select urban areas is provided down to ~1:2k and ~1:1k. Full coverage at ~1:2k and ~1:1k is available in the contiguous United States and Hawaii. This comprehensive street map includes highways, major roads, minor roads, one-way arrow indicators, railways, water features, cities, parks, landmarks, building footprints, and administrative boundaries, overlaid on shaded relief for added context. Alignment of boundaries is a presentation of the feature provided by our data vendors and does not imply endorsement by Esri or any governing authority.The street map was developed by Esri using Esri basemap data, Garmin basemap layers, U.S. Geological Survey (USGS) elevation data, Intact Forest Landscape (IFL) data for the world; HERE data from ~1:288k with ~1:1k for Africa, Europe and Russia, Australia and New Zealand, North America, the Middle East, South America, and Central America; and MapmyIndia data for India from ~1:288k with ~1:1k. Data for Africa from ~1:288k to ~1:4k (~1:2k and ~1:1k in select areas) was sourced from OpenStreetMap contributors. Specific country list and documentation of Esri's process for including OSM data is available to view. For details on data sources in this map service, view the list of Contributors for the World Street Map. In addition, some of the data in the World Street map service has been contributed by the GIS community. For details, see the Community Maps Program.Tip: Here are some cities as they appear in the Streets web map. Each of these URLs launches the web map and contains location information to take you to a particular city: Bangkok, Bogota, Berlin, Hong Kong, Paris, Perth, Tokyo