Directions is a configurable app template that provides turn by turn directions to features within a destination layer or a specific destination. Travel modes include driving and walking. Use CasesDirections identifies the nearest destination feature to a user-selected address or location and provides turn-by-turn directions between the two points.Directions is a good choice when you want to route to the nearest destination, make a store locator when many options are available, or for providing directions to a single office or location.Configurable OptionsDirections can be used to provide routing from a user defined location to features within the map and can be configured using the following options:Choose a title and color scheme.Provide hint text for the address search box. The web map's default extent is used as the search extent for addresses.Define a destination layer from the web map that will be used for routing.Provide alternate destination location information if no destination layer is declared. Options are latitude/longitude or single line address.Specify a closest facility task URL or other custom routing service. If left blank, the default is the ArcGIS routing service.Supported DevicesThis application is responsively designed to support use in browsers on desktops, mobile phones, and tablets.Data RequirementsRouting requires an ArcGIS Online organizational subscription or an ArcGIS Developer account and does consume credits.Get Started This application can be created in the following ways:Click the Create a Web App button on this pageShare a map and choose to Create a Web AppOn the Content page, click Create - App - From Template Click the Download button to access the source code. Do this if you want to host the app on your own server and optionally customize it to add features or change styling.

Interactive Map Creation Tools Market Outlook

The global market size for Interactive Map Creation Tools was valued at approximately USD 1.2 billion in 2023 and is projected to reach around USD 3.8 billion by 2032, growing at a compound annual growth rate (CAGR) of 13.5% during the forecast period. The primary growth factors for this market include the increasing need for advanced geospatial data visualization, the rise of smart city initiatives, and the growing demand for real-time location-based services.

One of the key growth drivers is the increasing demand for geospatial analytics across various sectors such as urban planning, transportation, and environmental monitoring. As urbanization accelerates, city planners and government authorities are turning to interactive mapping tools to visualize complex data sets that help in making informed decisions. These tools assist in laying out city infrastructures, optimizing traffic routes, and planning emergency response strategies. The trend towards smart cities further amplifies the need for such sophisticated tools, which can handle dynamic and interactive data layers in real-time.

The transportation sector also finds significant utility in interactive map creation tools. With the surge in smart transportation projects globally, there is a mounting need to integrate real-time data into interactive maps for efficient route planning, traffic management, and logistics operations. Such tools not only aid in reducing congestion and travel times but also contribute to making transportation systems more sustainable. Additionally, interactive maps are becoming vital for managing fleets in logistics, enhancing the efficiency of delivery networks and reducing operational costs.

Environmental monitoring is another critical application area driving market growth. With increasing concerns about climate change and natural disasters, there is a heightened need for tools that can provide real-time environmental data. Interactive maps enable organizations to monitor various environmental parameters such as air quality, water levels, and wildlife movements effectively. These tools are instrumental in disaster management, helping authorities to visualize affected areas and coordinate relief operations efficiently.

Regionally, North America has been the dominant market for interactive map creation tools, driven by the high adoption of advanced technologies and significant investments in smart city projects. Europe follows closely, with countries like Germany and the UK leading the charge in urban planning and environmental monitoring initiatives. The Asia Pacific region is expected to witness the fastest growth, fueled by rapid urbanization and increasing investments in infrastructure development. Emerging economies in Latin America and the Middle East & Africa are also exploring these tools to address urbanization challenges and improve municipal services.

In addition to the regional growth dynamics, the emergence of Custom Digital Map Service is revolutionizing the way organizations approach geospatial data. These services offer tailor-made mapping solutions that cater to the unique needs of businesses and government agencies. By providing highly customizable maps, these services enable users to integrate specific data layers, adjust visual styles, and incorporate branding elements, thereby enhancing the utility and appeal of the maps. As the demand for personalized mapping solutions grows, Custom Digital Map Service is becoming a vital component in sectors such as urban planning, logistics, and tourism, where tailored insights can drive strategic decisions and improve operational efficiency.

Component Analysis

In the Interactive Map Creation Tools market, the component segment is divided into Software and Services. The Software segment comprises products such as GIS software, mapping platforms, and data visualization tools. This segment holds a significant share of the market, fueled by the rising need for sophisticated software solutions that can handle vast amounts of geospatial data. Advanced mapping software offers features like real-time data integration, multi-layer visualization, and high customization capabilities, making it an indispensable tool for various industries.

The increasing complexity

ArcGIS Maritime server extension's Maritime Chart Service (MCS) capability is a Server Object Extension that provides both OGC WMS and Esri RESTful web services to quickly view and query your S-57 or S-63 encrypted datasets.The primary ENC data in this web service was downloaded from NOAA's public site. Datasets are not guaranteed to be kept up-to-date and are for demonstration purposes only. This map service is specifically configured to use the new custom symbology option in MCS as well as other settings unique to CCB.To learn more about this product visit ArcGIS Maritime.

Welcome to Apiscrapy, your ultimate destination for comprehensive location-based intelligence. As an AI-driven web scraping and automation platform, Apiscrapy excels in converting raw web data into polished, ready-to-use data APIs. With a unique capability to collect Google Address Data, Google Address API, Google Location API, Google Map, and Google Location Data with 100% accuracy, we redefine possibilities in location intelligence.

Key Features:

Unparalleled Data Variety: Apiscrapy offers a diverse range of address-related datasets, including Google Address Data and Google Location Data. Whether you seek B2B address data or detailed insights for various industries, we cover it all.

Integration with Google Address API: Seamlessly integrate our datasets with the powerful Google Address API. This collaboration ensures not just accessibility but a robust combination that amplifies the precision of your location-based insights.

Business Location Precision: Experience a new level of precision in business decision-making with our address data. Apiscrapy delivers accurate and up-to-date business locations, enhancing your strategic planning and expansion efforts.

Tailored B2B Marketing: Customize your B2B marketing strategies with precision using our detailed B2B address data. Target specific geographic areas, refine your approach, and maximize the impact of your marketing efforts.

Use Cases:

Location-Based Services: Companies use Google Address Data to provide location-based services such as navigation, local search, and location-aware advertisements.

Logistics and Transportation: Logistics companies utilize Google Address Data for route optimization, fleet management, and delivery tracking.

E-commerce: Online retailers integrate address autocomplete features powered by Google Address Data to simplify the checkout process and ensure accurate delivery addresses.

Real Estate: Real estate agents and property websites leverage Google Address Data to provide accurate property listings, neighborhood information, and proximity to amenities.

Urban Planning and Development: City planners and developers utilize Google Address Data to analyze population density, traffic patterns, and infrastructure needs for urban planning and development projects.

Market Analysis: Businesses use Google Address Data for market analysis, including identifying target demographics, analyzing competitor locations, and selecting optimal locations for new stores or offices.

Geographic Information Systems (GIS): GIS professionals use Google Address Data as a foundational layer for mapping and spatial analysis in fields such as environmental science, public health, and natural resource management.

Government Services: Government agencies utilize Google Address Data for census enumeration, voter registration, tax assessment, and planning public infrastructure projects.

Tourism and Hospitality: Travel agencies, hotels, and tourism websites incorporate Google Address Data to provide location-based recommendations, itinerary planning, and booking services for travelers.

Discover the difference with Apiscrapy – where accuracy meets diversity in address-related datasets, including Google Address Data, Google Address API, Google Location API, and more. Redefine your approach to location intelligence and make data-driven decisions with confidence. Revolutionize your business strategies today!

Purpose: Resource inventory mapping, regional land use mappingNotes: Stream routes. Each stream channel is represented by a single line. Derived from the Stream Centreline Network Spatial layer and based on the 1:50,000 scale Canadian National Topographic Series of Maps.WMS GetCapabilities URL: DataBC also offers access to this data in OGC WMS format. WMS is useful when the map author does not require custom popups, styling, or analytic capabilities for the layer. ArcGIS Online authors may want to use WMS, instead of this ArcGIS Server layer, in the following scenarios: Where they want to use existing Data Custodian approved styling, and/or They only need simple identify and map rendering functionality.Copy the: WMS GetCapabilities URL to add this web item to an ArcGIS Online Map or Scene Viewer. In some cases, multiple Styles are listed in the GetCapabilities and can be added as WMS Custom parameters. For more information on how to use a WMS layer see - ESRI's OGC ArcGIS Online HelpBC Data Catalogue Metadata URL: https://catalogue.data.gov.bc.ca/dataset/9c3f8dd6-d715-4e3c-aa9b-cd8e26f9906d

Elevation Profile is a configurable app template used to display the elevation profile for a selected feature or a measured line along with a web map. This template uses the Profile geoprocessing service to generate the elevation values along the profile. View the Profile service developer documentation for additional details. Use CasesGenerates an elevation profile graph based on a selected line feature in the map or a line drawn with the measure tool.Show changes in elevation along a hiking trail or route for a race.Configurable OptionsUse Elevation Profile to present content from a web map and configure it using the following options:Choose the title, description, and color theme.Configure a splash screen with customized text that displays when the app is first opened.Fully customize the color of the profile widget.Specify a custom profile service via URL. By default, this application uses the Elevation Analysis Profile Task to generate elevation values along the profile.Choose the elevation profile units and the location of the profile widget in the UI of the app.Enable a basemap gallery, legend, opacity slider, and share dialog.Supported DevicesThis application is responsively designed to support use in browsers on desktops, mobile phones, and tablets.Data RequirementsThis application has no data requirements.Get Started This application can be created in the following ways:Click the Create a Web App button on this pageShare a map and choose to Create a Web AppOn the Content page, click Create - App - From Template Click the Download button to access the source code. Do this if you want to host the app on your own server and optionally customize it to add features or change styling.

The global map navigation service market is experiencing robust growth, driven by the increasing adoption of smartphones, the proliferation of connected cars, and the rising demand for real-time location-based services. The market size in 2025 is estimated at $15 billion, exhibiting a Compound Annual Growth Rate (CAGR) of 12% from 2025 to 2033. This growth is fueled by several key trends, including the integration of advanced features like augmented reality navigation, improved accuracy through satellite and sensor fusion, and the increasing demand for personalized route optimization. The market is segmented by various factors, including device type (smartphones, in-car systems, wearables), service type (online, offline), and application (personal navigation, fleet management, logistics). Major players like Google Maps, TomTom, and Garmin are fiercely competing, leading to continuous innovation and improvement in service offerings. The restraints to market growth include concerns regarding data privacy and security, the need for continuous infrastructure updates to maintain accuracy, and the high initial investment required for developing and maintaining advanced navigation systems. However, these challenges are likely to be mitigated through technological advancements in data encryption and security, coupled with increased investment in high-precision mapping technologies. The future trajectory points towards the integration of AI and machine learning for predictive navigation, autonomous driving assistance, and enhanced user experience. Regionally, North America and Europe currently hold significant market share, but the Asia-Pacific region is expected to witness substantial growth driven by rising smartphone penetration and increasing investment in smart city infrastructure.

This web map displays (and labels) the NFWA march route used in the Fight for Bread and Dignity StoryMap.Content: Displays & labels a feature layer: 25 points (cities), and a dashed line "route" to connects them allFormat: Web MapGeographic Coverage: Focused on the California central valleyTime Period: The layer documents the route, and stops taken along the 1968 NFWA marchSpecial Data Characteristics or Constraints: N/AHow was the data created? Importing a feature layer, and adding custom labelsIntended Use / Purpose: The web map of the marchers route will be used as a central part of a StoryMap called the Fight for Bread and DignityHow the data was collected / is maintained: Historical records, will be updated if CECH receives new information, or corrections as to the route itselfThe corresponding NPS DataStore on Integrated Resource Management Applications (IRMA) reference is The Fight for Bread and Dignity, A StoryMap at Cesar E. Chavez National Monument

Snapshot img

Digital Map Market Size 2025-2029

The digital map market size is forecast to increase by USD 31.95 billion at a CAGR of 31.3% between 2024 and 2029.

The market is driven by the increasing adoption of intelligent Personal Digital Assistants (PDAs) and the availability of location-based services. PDAs, such as smartphones and smartwatches, are becoming increasingly integrated with digital map technologies, enabling users to navigate and access real-time information on-the-go. The integration of Internet of Things (IoT) enables remote monitoring of cars and theft recovery. Location-based services, including mapping and navigation apps, are a crucial component of this trend, offering users personalized and convenient solutions for travel and exploration. However, the market also faces significant challenges.
Ensuring the protection of sensitive user information is essential for companies operating in this market, as trust and data security are key factors in driving user adoption and retention. Additionally, the competition in the market is intense, with numerous players vying for market share. Companies must differentiate themselves through innovative features, user experience, and strong branding to stand out in this competitive landscape. Security and privacy concerns continue to be a major obstacle, as the collection and use of location data raises valid concerns among consumers.

What will be the Size of the Digital Map Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
Request Free Sample

In the market, cartographic generalization and thematic mapping techniques are utilized to convey complex spatial information, transforming raw data into insightful visualizations. Choropleth maps and dot density maps illustrate distribution patterns of environmental data, economic data, and demographic data, while spatial interpolation and predictive modeling enable the estimation of hydrographic data and terrain data in areas with limited information. Urban planning and land use planning benefit from these tools, facilitating network modeling and location intelligence for public safety and emergency management.

Spatial regression and spatial autocorrelation analyses provide valuable insights into urban development trends and patterns. Network analysis and shortest path algorithms optimize transportation planning and logistics management, enhancing marketing analytics and sales territory optimization. Decision support systems and fleet management incorporate 3D building models and real-time data from street view imagery, enabling effective resource management and disaster response. The market in the US is experiencing robust growth, driven by the integration of Geographic Information Systems (GIS), Global Positioning Systems (GPS), and advanced computer technology into various industries.

How is this Digital Map Industry segmented?

The digital map industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Application

  Navigation
  Geocoders
  Others


Type

  Outdoor
  Indoor


Solution

  Software
  Services


Deployment

  On-premises
  Cloud


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    UK


  APAC

    China
    India
    Indonesia
    Japan
    South Korea


  Rest of World (ROW)

By Application Insights

The navigation segment is estimated to witness significant growth during the forecast period. Digital maps play a pivotal role in various industries, particularly in automotive applications for driver assistance systems. These maps encompass raster data, aerial photography, government data, and commercial data, among others. Open-source data and proprietary data are integrated to ensure map accuracy and up-to-date information. Map production involves the use of GPS technology, map projections, and GIS software, while map maintenance and quality control ensure map accuracy. Location-based services (LBS) and route optimization are integral parts of digital maps, enabling real-time navigation and traffic data.

Data validation and map tiles ensure data security. Cloud computing facilitates map distribution and map customization, allowing users to access maps on various devices, including mobile mapping and indoor mapping. Map design, map printing, and reverse geocoding further enhance the user experience. Spatial analysis and data modeling are essential for data warehousing and real-time navigation. The automotive industry's increasing adoption of connected cars and long-term evolution (LTE) technologies have fueled the demand for digital maps. These maps enable driver assistance app

The Amtrak Routes dataset is as of January 05, 2024 from the Federal Railroad Administration (FRA) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). This dataset is a single line representation of unique routes that are generated from the North American Railroad Network (Amtrak). It contains information on ownership, trackage rights, type, passenger, STRACNET, and geographic reference of the Amtrak system at 1:24,000 or better and the dataset covers all 50 states and the District of Columbia.

The global GPS navigation software market is experiencing robust growth, driven by the increasing adoption of smartphones, the proliferation of connected cars, and the rising demand for real-time location-based services. The market, estimated at $15 billion in 2025, is projected to expand at a Compound Annual Growth Rate (CAGR) of 12% from 2025 to 2033, reaching approximately $40 billion by 2033. Key drivers include advancements in mapping technology (e.g., high-definition maps, 3D mapping), the integration of AI and machine learning for improved route optimization and traffic prediction, and the growing need for efficient logistics and fleet management solutions. The market is segmented by software type (e.g., in-dash navigation, mobile apps, web-based), application (e.g., personal navigation, commercial fleet management), and region. Competition is intense, with established players like Garmin, TomTom, and Google competing with emerging tech companies and regional players. Growth is particularly strong in developing economies with expanding middle classes and increasing smartphone penetration. However, challenges remain, including data privacy concerns, the need for continuous map updates, and the potential disruption from autonomous driving technologies. The market's future trajectory depends heavily on the successful integration of new technologies, such as augmented reality navigation and improved user interfaces. Strategic partnerships and mergers & acquisitions are likely to shape the competitive landscape, particularly as companies strive to deliver more personalized and comprehensive location-based services. The increasing reliance on cloud-based services and the adoption of subscription models also represent significant market trends.

Digital Map Market Outlook

According to our latest research, the global digital map market size reached USD 20.7 billion in 2024, reflecting robust demand across various industries. The market is expected to expand at a CAGR of 13.9% from 2025 to 2033, reaching a projected value of USD 67.4 billion by 2033. This impressive growth trajectory is fueled by rapid advancements in geospatial technologies, the proliferation of connected and autonomous vehicles, and the increasing reliance on real-time data for business and consumer applications. The digital map market is witnessing a paradigm shift as organizations embrace location intelligence to optimize operations, enhance customer experiences, and support critical decision-making processes.

One of the primary growth drivers for the digital map market is the widespread adoption of location-based services (LBS) across industries such as automotive, transportation, logistics, and retail. The integration of digital maps with mobile applications, IoT devices, and smart city initiatives is transforming the way businesses and governments manage assets and deliver services. The surge in demand for real-time navigation, route optimization, and geospatial analytics is prompting organizations to invest in advanced mapping solutions that offer high accuracy, scalability, and seamless integration with other digital platforms. As digital transformation accelerates, the need for dynamic, interactive, and cloud-based mapping solutions is becoming increasingly evident, further propelling market growth.

Another significant factor contributing to the expansion of the digital map market is the evolution of autonomous and connected vehicles. Automotive manufacturers are leveraging high-definition digital maps to enable advanced driver-assistance systems (ADAS), autonomous navigation, and predictive maintenance. The deployment of 5G networks and edge computing is enhancing the capabilities of digital maps by enabling real-time data processing and ultra-low-latency communication. This technological synergy is driving the adoption of digital maps in not only the automotive sector but also in transportation, logistics, and urban planning. Furthermore, the integration of artificial intelligence (AI) and machine learning (ML) is enhancing the accuracy, relevance, and predictive power of digital mapping solutions, unlocking new opportunities for innovation and efficiency.

The digital map market is also benefiting from increasing government investments in smart infrastructure and urban development projects. Governments and municipal authorities are utilizing digital maps for land management, disaster response, utility planning, and public safety initiatives. The growing emphasis on sustainability and resource optimization is prompting the use of digital mapping in environmental monitoring, renewable energy deployment, and infrastructure maintenance. Additionally, the rising popularity of location-based advertising and personalized marketing is encouraging retailers and service providers to harness the power of digital maps for targeted customer engagement. These multifaceted applications underscore the strategic importance of digital maps in the modern digital ecosystem.

From a regional perspective, North America currently dominates the digital map market, accounting for the largest share in 2024, followed by Europe and Asia Pacific. The United States remains at the forefront of innovation, driven by the presence of leading technology companies, high smartphone penetration, and robust investments in autonomous vehicle research. Europe is witnessing significant growth due to the expansion of smart city projects and regulatory support for geospatial data initiatives. Meanwhile, Asia Pacific is emerging as a high-growth region, fueled by rapid urbanization, infrastructure development, and increasing adoption of digital technologies in countries such as China, Japan, and India. The regional dynamics reflect the global nature of the digital map market and the diverse opportunities for stakeholders across geographies.

Component Analysis

📊 Google Data for Market Intelligence, Business Validation & Lead Enrichment Google Data is one of the most valuable sources of location-based business intelligence available today. At Canaria, we’ve built a robust, scalable system for extracting, enriching, and delivering verified business data from Google Maps—turning raw location profiles into high-resolution, actionable insights.

Our Google Maps Company Profile Data includes structured metadata on businesses across the U.S., such as company names, standardized addresses, geographic coordinates, phone numbers, websites, business categories, open hours, diversity and ownership tags, star ratings, and detailed review distributions. Whether you're modeling a market, identifying leads, enriching a CRM, or evaluating risk, our Google Data gives your team an accurate, up-to-date view of business activity at the local level.

This dataset is updated weekly, and is fully customizable—allowing you to pull exactly what you need, whether you're targeting a specific geography, industry segment, review range, or open-hour window.

🌎 What Makes Canaria’s Google Data Unique? • Location Precision – Every business record is enriched with latitude/longitude, ZIP code, and Google Plus Code to ensure exact geolocation • Reputation Signals – Review tags, star ratings, and review counts are included to allow brand sentiment scoring and risk monitoring • Diversity & Ownership Tags – Capture public-facing declarations such as “women-owned” or “Asian-owned” for DEI, ESG, and compliance applications • Contact Readiness – Clean, standardized phone numbers and domains help teams route leads to sales, support, or customer success • Operational Visibility – Up-to-date open hours, categories, and branch information help validate which locations are active and when

Our data is built to be matched, integrated, and analyzed—and is trusted by clients in financial services, go-to-market strategy, HR tech, and analytics platforms.

🧠 What This Google Data Solves Canaria Google Data answers critical operational, market, and GTM questions like:

• Which businesses are actively operating in my target region or category? • Which leads are real, verified, and tied to an actual physical branch? • How can I detect underperforming companies based on review sentiment? • Where should I expand, prospect, or invest based on geographic presence? • How can I enhance my CRM, enrichment model, or targeting strategy using location-based data?

✅ Key Use Cases for Google Maps Business Data Our clients leverage Google Data across a wide spectrum of industries and functions. Here are the top use cases:

🔍 Lead Scoring & Business Validation • Confirm the legitimacy and physical presence of potential customers, partners, or competitors using verified Google Data • Rank leads based on proximity, star ratings, review volume, or completeness of listing • Filter spammy or low-quality leads using negative review keywords and tag summaries • Validate ABM targets before outreach using enriched business details like phone, website, and hours

📍 Location Intelligence & Market Mapping • Visualize company distributions across geographies using Google Maps coordinates and ZIPs • Understand market saturation, density, and white space across business categories • Identify underserved ZIP codes or local business deserts • Track presence and expansion across regional clusters and industry corridors

⚠️ Company Risk & Brand Reputation Scoring • Monitor Google Maps reviews for sentiment signals such as “scam”, “spam”, “calls”, or service complaints • Detect risk-prone or underperforming locations using star rating distributions and review counts • Evaluate consistency of open hours, contact numbers, and categories for signs of listing accuracy or abandonment • Integrate risk flags into investment models, KYC/KYB platforms, or internal alerting systems

🗃️ CRM & RevOps Enrichment • Enrich CRM or lead databases with phone numbers, web domains, physical addresses, and geolocation from Google Data • Use business category classification for segmentation and routing • Detect duplicates or outdated data by matching your records with the most current Google listing • Enable advanced workflows like field-based rep routing, localized campaign assignment, or automated ABM triggers

📈 Business Intelligence & Strategic Planning • Build dashboards powered by Google Maps data, including business counts, category distributions, and review activity • Overlay business presence with population, workforce, or customer base for location planning • Benchmark performance across cities, regions, or market verticals • Track mobility and change by comparing past and current Google Maps metadata

💼 DEI, ESG & Ownership Profiling • Identify minority-owned, women-owned, or other diversity-flagged companies using Google Data ownership attributes • Build datasets aligned with supplier diversity mandates or ESG investment strategies • Segment location insi...

The Maine Ferry Routes and Terminals group layer is a group of interactive layers that provides detailed ferry route and terminal views and spatial data for towns across Maine. Users can explore various layers of information related to comprehensive planning. For additional data and customized mapping options, users can access the Maine Resource Explorer and the Maine Comprehensive Plan Data Portal and Mapping Services StoryMap.

This layer features tropical storm (hurricanes, typhoons, cyclones) tracks, positions, and observed wind swaths from the past hurricane season for the Atlantic, Pacific, and Indian Basins. These are products from the National Hurricane Center (NHC) and Joint Typhoon Warning Center (JTWC). They are part of an archive of tropical storm data maintained in the International Best Track Archive for Climate Stewardship (IBTrACS) database by the NOAA National Centers for Environmental Information.Data SourceNOAA National Hurricane Center tropical cyclone best track archive.Update FrequencyWe automatically check these products for updates every 15 minutes from the NHC GIS Data page.The NHC shapefiles are parsed using the Aggregated Live Feeds methodology to take the returned information and serve the data through ArcGIS Server as a map service.Area CoveredWorldWhat can you do with this layer?Customize the display of each attribute by using the ‘Change Style’ option for any layer.Run a filter to query the layer and display only specific types of storms or areas.Add to your map with other weather data layers to provide insight on hazardous weather events.Use ArcGIS Online analysis tools like ‘Enrich Data’ on the Observed Wind Swath layer to determine the impact of cyclone events on populations.Visualize data in ArcGIS Insights or Operations Dashboards.This map is provided for informational purposes and is not monitored 24/7 for accuracy and currency. Always refer to NOAA or JTWC sources for official guidance.If you would like to be alerted to potential issues or simply see when this Service will update next, please visit our Live Feed Status Page!

EV Range Route Planner App Market Outlook

According to our latest research, the global EV Range Route Planner App market size reached USD 1.14 billion in 2024. The market is expected to grow at a robust CAGR of 16.7% from 2025 to 2033, propelling the market to an estimated USD 5.04 billion by 2033. The primary growth factor driving this expansion is the accelerating adoption of electric vehicles (EVs) worldwide, which is boosting the demand for advanced route planning solutions tailored for EV users.

The surge in electric vehicle adoption globally is fundamentally transforming the mobility landscape, and this rapid shift is a significant growth driver for the EV Range Route Planner App market. As EVs become increasingly mainstream, users are seeking efficient and reliable solutions to address range anxiety—a key concern for both new and experienced EV owners. Route planner apps that intelligently map out optimal charging stops, factor in real-time traffic, weather, and battery status, and integrate with various charging networks are becoming indispensable. The growing sophistication of these apps, fueled by advancements in artificial intelligence and machine learning, is enhancing the user experience, driving repeat usage, and fostering brand loyalty. Additionally, the proliferation of public and private charging infrastructure is synergistically boosting the utility and appeal of these applications.

Another pivotal factor propelling the EV Range Route Planner App market is the increasing integration of these solutions into broader digital ecosystems, including in-vehicle infotainment systems and mobile platforms. Automotive OEMs are actively collaborating with technology companies to embed route planning functionalities directly into their vehicles, offering seamless connectivity and real-time updates. This trend is not only improving convenience for individual consumers but also enabling commercial fleet operators to optimize logistics, reduce operational costs, and ensure timely deliveries. The emphasis on sustainability, coupled with regulatory incentives to promote EV adoption, is further accelerating the demand for smart route planning tools that maximize vehicle efficiency and minimize carbon footprint.

The rapid urbanization and smart city initiatives in developed and emerging markets are also catalyzing the expansion of the EV Range Route Planner App market. Urban planners and municipal authorities are increasingly leveraging data-driven mobility solutions to alleviate congestion, reduce emissions, and enhance the overall quality of urban transportation. Route planner apps are evolving to offer integration with public transit, car-sharing, and micro-mobility services, thereby supporting multi-modal transport solutions. Furthermore, the rise of connected vehicle technologies and IoT-enabled infrastructure is creating new opportunities for app developers to deliver hyper-personalized, context-aware route recommendations, further driving market growth.

Regionally, North America and Europe are leading the adoption curve, accounting for a significant share of the EV Range Route Planner App market in 2024. These regions benefit from high EV penetration rates, well-established charging networks, and strong regulatory support for clean mobility. The Asia Pacific region, however, is emerging as the fastest-growing market, driven by rapid electrification of transport in China, Japan, South Korea, and India. This regional dynamism is underpinned by government incentives, rising consumer awareness, and aggressive investments in charging infrastructure, setting the stage for sustained market expansion over the next decade.

Component Analysis

The Component segment of the EV Range Route Planner App market is bifurcated into Software and Services, each playing a critical role in the ecosystem. Software constitutes the core of the market, encompassing mobile applications, web platforms, and integrated solutions that deliver route planning, charging station location, battery optimization, and real-time navigation functionalities. The software landscape is marked by intense innovation, with developers leveraging machine learning algorithms, real-time data analytics, and cloud computing to enhance app performance and user experience. As EV adoption accelerates, software providers are focusing on interoperability, seamless integration with vehicle systems, and support for multiple charging networks to cater to a div

Catalog Last Checked From VDOT: 2021The purpose of including a catalog snapshot of geospatial datasets online by this agency in this description is to enable keywords by an end user of the VGIN AGOL search and provide that user to the authoritative source data page. If additional geospatial datasets beyond the listing above should be provided to end users from the authoritative source in a custom request, please contact VGIN at VBMP@vdem.virginia.gov to have them added to this listing.

This layer depicts the public transportation lines received through the Esri Community Maps program, USDOT, and publicly available datasets from agencies, municipalities and countries around the world. It is designed to be used with the other World Transit layers in the Living Alas. These layers include:World Transit Agency CentroidsWorld Transit StopsWorld Transit Lines by ModalityThese transit layers can be accessed together through the following resources:World Transit Group LayerWorld Transit Web MapWorld Transit Viewer (Web Mapping Application)The public transit lines are symbolized using color codes (six digit hexadecimal) provided by transit agencies. These colors correspond to many agencies' color designations such as in the Washington DC Metro with the Red, Orange, Blue, Green Yellow and Silver lines.The transit data is received in the General Transit Feed Specification (GTFS) format, an open data standard for public transportation data. Each GTFS dataset is a zipped archive of comma-separated files describing the transit services, including the geometry for mapping. Esri converts GTFS datasets into ready-to-use map layers and makes them available as Feature Services in the Living Atlas. Esri Transit map layers include data from Esri Community Maps contributors, the US Department of Transportation, as well as publicly available GTFS datasets. Please note that any data layer fields marked with an '(Esri)' tag have been added by Esri to provide user-friendly translations of GTFS standard values or to add additional context and value.Community Maps GTFS dataThrough the Esri Community Maps Program, transit organizations are able to submit their own GTFS data for use across the ArcGIS platform, giving their data more visibility and accessibility to users. Organizations interested in sharing their data can join the Community Maps Program as a data contributor.Community Maps transit contributors include:Utah Transit AuthorityWeGo Public Transit - Nashville, TNUMass AmherstSpokane Transit Authority - Spokane, WAGrand County, COMETRO HoustonLee County, FLBay of Plenty Regional Council (NZ)Miami-Dade CountyRTC Southern NevadaLA Metro - Los Angeles, CAIMPLAN - Chihuahua, MexicoSunTran - Tucson, AZVIA Metropolitan Transit - San Antonio, TXCape Breton Regional Municipality - Nova Scotia, CanadaWashington County Transit Department - Washington County, MDEastern Panhandle Transit Authority - Martinsburg, WVNew Orleans Regional Transit Authority - New Orleans, LAPark County Transit - Park County, MTUSDOT National Transportation Map DataData is included from the United States Department of Transportation (USDOT), Bureau of Transportation Statistics (BTS) National Transit Map (NTM) National Transportation Atlas Database (NTD) where the data is not available from Esri Community Maps contributors. A full list of NTM contributing entities is available at https://geodata.bts.gov/maps/national-transit-map-agencies. Most agencies' data are in the public domain except for the following, which are licensed under the Creative Commons by Attribution 3.0 (CC BY 3.0) license. Data accessed on Feb 6, 2024 from National Transit Map Routes.USDOT NTM CC BY 3.0 ContributorsGreater Peoria Mass Transit DistrictCity of GlendoraCity of DelanoCity of Sierra VistaCity of AvalonCity of LawndaleChemehuevi Indian TribeVia Mobility ServicesMiddletown Transit DistrictRockland Coaches IncKootenai CountySpokane Tribe of IndiansWaccamaw Regional Transportation AuthorityDillions Bus Service IncUnified Human Services Transportation Systems IncPublicly Available GTFS DatasetsMetropolitan Council - Metro Transit - Minneapolis/St Paul, MN (Public Domain)Minnesota Valley Transit Authority (Public Domain)AC Transit - Bay Area, CA (Public Domain)Calgary Transit - Calgary, AB (CA) (Open Government License – City of Calgary)OVapi Netherlands GTFS (NL) (Custom open licensing terms)Open Bus Data (UK) (Contains public sector information licensed under the Open Government License v3.0)Swiss Open Transport Data (CH) (Open data license)Japanese Public Transportation Data - Kyoto, Kyoto Prefecture (JP) (Public Transportation Open Data Basic License)Transport for New South Wales (AU) (CC BY 4.0)Victoria Department of Transport and Planning (AU) (CC BY 4.0)Department for Infrastructure and Transport - South Australia (AU) (CC BY 4.0)Otago Regional Council (NZ) (CC BY 4.0)Ireland National Transport Authority (IE) (CC BY 4.0)Metrolink - Southern California (US) (CC BY 3.0)DELFI German GTFS Data (DE) (CC BY 4.0)Halifax Transit (CA) (Open Government - Canada 2.0 License)Kingston Transit (CA) (Kingston Open Data License 1.0)Lethbridge Transit (CA) (City of Lethbridge​ - Open Data License 1.0)BC Transit (CA) (Open data license)Enture (NO) (Contains data under the Norwegian licence for Open Government data distributed by Entur.org)MITRAMS (ES) (Government of Spain - Ministry of Transport and Sustainable Mobility)

Local Perspective is a configurable app template that provides information based on a user defined location. A buffered distance around the user defined location is used to return features from features layers in the map. Use CasesDisplays the amenities, demographic, lifestyle, and weather information within a buffer of an address or point. This is a good choice for showing data that describes resources such as restaurants, parking lots, theaters, and museums available near an address.Provides directions to features within a radius of a user-selected point. This is a good choice when you want to allow users to find directions to a point of interest in a local area or for routing to destinations in more than one feature layer.Compares layers within a buffered distance of an address or point. The collection of layers can be scrolled through to gain an understanding of the variation between the layers within the current buffer. This is a good choice for showing data comparing availability of resources like schools, police stations, fire stations, and hospitals, or for comparing different types of crimes committed near an address.Configurable OptionsLocal Perspective can be used to show local amenities and can be configured using the following options:Choose a title, logo image, and color scheme.Enable US demographics, US lifestyles, and live weather.Enable routing directions as well as opt to store organization subscription credentials for public use of the app (users cannot see credentials).Set the default and maximum distance values for the buffered area, as well as distance units.Supported DevicesThis application is responsively designed to support use in browsers on desktops, mobile phones, and tablets.Data RequirementsThis application requires a feature layer to take full advantage of its capabilities. For more information, see the Layers help topic for more details.Get Started This application can be created in the following ways:Click the Create a Web App button on this pageShare a map and choose to Create a Web AppOn the Content page, click Create - App - From Template Click the Download button to access the source code. Do this if you want to host the app on your own server and optionally customize it to add features or change styling.