The interactive map creation tools market is experiencing robust growth, driven by increasing demand for visually engaging data representation across diverse sectors. The market's value is estimated at $2 billion in 2025, exhibiting a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033. This growth is fueled by several factors, including the rising adoption of location-based services, the proliferation of readily available geographic data, and the growing need for effective data visualization in business intelligence and marketing. The individual user segment currently holds a significant share, but corporate adoption is rapidly expanding, propelled by the need for sophisticated map-based analytics and internal communication. Furthermore, the paid use segment is anticipated to grow more quickly than the free use segment, reflecting the willingness of businesses and organizations to invest in advanced features and functionalities. This trend is further amplified by the increasing integration of interactive maps into various platforms, such as business intelligence dashboards and website content. Geographic expansion is also a significant growth driver. North America and Europe currently dominate the market, but the Asia-Pacific region is showing significant promise due to rapid technological advancements and increasing internet penetration. Competitive pressures remain high, with established players such as Google, Mapbox, and ArcGIS StoryMaps vying for market share alongside innovative startups offering specialized solutions. The market's restraints are primarily focused on the complexities of data integration and the technical expertise required for effective map creation. However, ongoing developments in user-friendly interfaces and readily available data integration tools are mitigating these challenges. The future of the interactive map creation tools market promises even greater innovation, fueled by developments in augmented reality (AR), virtual reality (VR), and 3D visualization technologies. We expect to see the emergence of more sophisticated tools catering to niche requirements, further driving market segmentation and specialization. Continued investment in research and development will also play a crucial role in pushing the boundaries of what's possible with interactive map creation. The market presents opportunities for companies to develop tools which combine data analytics and interactive map design.

This Dashboard displays parcel status information by city and town, in a map, table and pie chart.Click on a city or town in the map to view information about that municipality.Click on a row in the table to zoom to that city or town.The pie chart displays the fiscal yer currency of parcel data updates.

The dashboard visualizes "stay at home" behavior, quantified as the percent of people staying home all day (see below for how we define "home") during shelter in place orders. The SafeGraph Shelter in Place Index (or Stay at Home Index) is not based on units of distance traveled. This way, this dashboard enables better comparisons between rural, suburban, and urban areas, even though the former generally travel greater distances for essential activities like grocery shopping. The Shelter in Place Index (also called the Stay at Home Index) represents the change (as a difference) in the % of people staying home compared to baseline. The index spans -100% to 100%, where 0 (zero) is no change from baseline. Baseline is defined as the average percent of people staying home each day across the seven days ending February 12, 2020. The data are accesssible on request

This map depicts the locations of ovitraps from the 2019 MEGA:BITESS cohort. Data needs filtered to remove No Data (-9999)

Discover the latest insights from Market Research Intellect's Dashboard Polish Market Report, valued at USD 1.2 billion in 2024, with significant growth projected to USD 1.8 billion by 2033 at a CAGR of 5.2% (2026-2033).

The NSGIC 3D Hydrography Program (3DHP) Activities Dashboard is an interactive tool that visualizes state and regional hydrography initiatives across the United States. Users can explore various projects, access case studies, review state plans, and examine examples of hydrography-related documents such as Statements of Work (SOW), Requests for Proposals (RFP), and Requests for Information (RFI). The dashboard also provides links to state-specific hydrography data, facilitating information sharing and collaboration among stakeholders involved in hydrography data development and management.

The Virginia Next Generation 9-1-1 Dashboard communicates the status of different aspects of the Next Generation 9-1-1 project in Virginia. Data shown in the map are sourced from different places with different update frequencies.Information about the history and development of this product is available on About Virginia's Next Generation 9-1-1 Dashboard.

Dashboard Software Market Size And Forecast

Dashboard Software Market Size was valued at USD 3,592.5 Million in 2023 and is projected to reach USD 9,019.75 Million by 2031, growing at a CAGR of 11.3 % during the forecast period 2024-2031.

Global Dashboard Software Market Drivers

The Dashboard Software Market is influenced by various market drivers, which can encompass technological advancements, customer needs, and industry trends. Some key drivers for this market include:

Data Explosion: The exponential growth of data generated from various sources requires robust tools to analyze and visualize this information effectively. Dashboard software helps organizations make sense of large datasets by presenting them in a user-friendly manner. Business Intelligence (BI) Demand: There is a growing need for business intelligence solutions as organizations strive to make data-driven decisions. Dashboard software often serves as a core component of BI tools, enabling users to track key performance indicators (KPIs) and other metrics.

Global Dashboard Software Market Restraints

The dashboard software market, which provides tools for data visualization and analytics, faces several market restraints that can impact its growth and adoption. Some of the key restraints include:

High Implementation Costs: For organizations, implementing advanced dashboard software can incur significant expenses, including software licensing, hardware requirements, and consulting fees for setup and customization. Complexity of Use: While many dashboard tools aim for user-friendliness, some still require specialized knowledge or training to use effectively. This complexity can deter non-technical users, limiting broader adoption within organizations.

This dataset contains four different data to investigate spatiotemporal patterns of cutaneous leishmaniasis in order to develop a geographic dashboard. These data include: 1- Population file 2-Case file 3-Coordinate file 4-Iral shapefile layers

Get key insights from Market Research Intellect's Business Intelligence Dashboard Market Size By Product, By Application, By Geography, Competitive Landscape And Forecast Market, valued at USD 500 billion in 2024, and forecast to grow to USD 750 billion by 2033, with a CAGR of 5.5% (2026-2033).

Philadelphia Council District Health Dashboard - Dataset and Codebook

Description

This dataset supports the Philadelphia Council District Health Dashboard, an interactive web application that visualizes health disparities and social determinants of health across Philadelphia's 10 City Council Districts. The dashboard provides district-level insights to guide equitable policy and investment decisions by City Council members and the public.

Background

Philadelphia residents experience drastically different health outcomes across the city – differences shaped by federal, state, and local policies rather than individual choices alone. This project maps key health indicators across all 10 Philadelphia City Council Districts to show how politics and geography intersect to shape Philadelphian health.

Data Sources

• US Census Bureau American Community Survey (ACS) 5-year estimates (2018-2022)
• Open Data Philly (2015-2024)

Data aggregated from original geographic units to City Council District boundaries using population-weighted methods.

Dataset Contents

Files:

• data_v1_1.csv - Main dataset containing health indicators by Philadelphia City Council District
• codebook_v1_1.csv - Complete metadata and variable documentation

Methodology

• Population-weighted aggregation for demographic/socioeconomic variables
• Area-weighted aggregation for environmental variables
• Count aggregation for incident data
• City averages calculated as population-weighted across districts

Geographic Coverage

• Unit: Philadelphia City Council Districts (n=10)
• Period: 2018-2022 (ACS), 2015-2024 (Open Data Philly)

Applications

Supports policy analysis, community advocacy, academic research, and public health planning at the district level.

Contact

Authors

Amber Bolli, Tamara Rushovich, Ran Li, Stephanie Hernandez, Alina Schnake-Mahl

Funding

Transform Academia for Equity grant from Robert Wood Johnson Foundation

Keywords

Philadelphia, City Council, Health Disparities, Social Determinants, Urban Health, Public Policy, Geospatial Analysis

From 2016 to 2018, we surveyed the world’s largest natural history museum collections to begin mapping this globally distributed scientific infrastructure. The resulting dataset includes 73 institutions across the globe. It has:

Basic institution data for the 73 contributing institutions, including estimated total collection sizes, geographic locations (to the city) and latitude/longitude, and Research Organization Registry (ROR) identifiers where available.

Resourcing information, covering the numbers of research, collections and volunteer staff in each institution.

Indicators of the presence and size of collections within each institution broken down into a grid of 19 collection disciplines and 16 geographic regions.

Measures of the depth and breadth of individual researcher experience across the same disciplines and geographic regions.

This dataset contains the data (raw and processed) collected for the survey, and specifications for the schema used to store the data. It includes:

A diagram of the MySQL database schema.

A SQL dump of the MySQL database schema, excluding the data.

A SQL dump of the MySQL database schema with all data. This may be imported into an instance of MySQL Server to create a complete reconstruction of the database.

Raw data from each database table in CSV format.

A set of more human-readable views of the data in CSV format. These correspond to the database tables, but foreign keys are substituted for values from the linked tables to make the data easier to read and analyse.

A text file containing the definitions of the size categories used in the collection_unit table.

The global collections data may also be accessed at https://rebrand.ly/global-collections. This is a preliminary dashboard, constructed and published using Microsoft Power BI, that enables the exploration of the data through a set of visualisations and filters. The dashboard consists of three pages:

Institutional profile: Enables the selection of a specific institution and provides summary information on the institution and its location, staffing, total collection size, collection breakdown and researcher expertise.

Overall heatmap: Supports an interactive exploration of the global picture, including a heatmap of collection distribution across the discipline and geographic categories, and visualisations that demonstrate the relative breadth of collections across institutions and correlations between collection size and breadth. Various filters allow the focus to be refined to specific regions and collection sizes.

Browse: Provides some alternative methods of filtering and visualising the global dataset to look at patterns in the distribution and size of different types of collections across the global view.

NOAA Coastal Inundation Dashboard View real-time, forecasted, and historical water level information to understand near-term inundation risks, such as impacts from tropical cyclones or nor’easters, and longer-term risks, such as high tide flooding and sea level rise. This product uses NOAA’s National Weather Service flood impact thresholds to determine if observed or forecasted water level may result in minor, moderate, or major coastal flooding. Coastal decision makers can use this information to understand and prepare for the effects of coastal flooding and gain a better understanding of the increased frequency of flooding as sea levels change.

Geographical tracking and mapping of COVID-19 (International Journal of Health Geographics).In 2019, a new virus causing severe acute respiratory syndrome emerged in Wuhan, Hubei Province, China. This paper offers pointers to, and describes, a range of practical online/mobile GIS and mapping dashboards and applications for tracking the coronavirus epidemic and associated events as they unfold around the world.Citation:Kamel Boulos, M.N., Geraghty, E.M. Geographical tracking and mapping of coronavirus disease COVID-19/severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) epidemic and associated events around the world: how 21st century GIS technologies are supporting the global fight against outbreaks and epidemics. Int J Health Geogr 19, 8 (2020). https://doi.org/10.1186/s12942-020-00202-8_Communities around the world are taking strides in mitigating the threat that COVID-19 (coronavirus) poses. Geography and location analysis have a crucial role in better understanding this evolving pandemic.When you need help quickly, Esri can provide data, software, configurable applications, and technical support for your emergency GIS operations. Use GIS to rapidly access and visualize mission-critical information. Get the information you need quickly, in a way that’s easy to understand, to make better decisions during a crisis.Esri’s Disaster Response Program (DRP) assists with disasters worldwide as part of our corporate citizenship. We support response and relief efforts with GIS technology and expertise.More information...

A story map depicting crucial global, national, and state information resources for the COVID 19 - Coronavirus outbreak.

1. Montana Situation Report - Daily report from the Montana State Emergency Coordination Center on the Montana Coronavirus (COVID-19) Executive Taskforce Situation Update
2. Reported Event Info - Dashboard including
3. Johns Hopkins GIS Dashboard - This tab is a geographic information systems (GIS) dashboard with maps, graphs, charts, of the Coronavirus/COVID-19 outbreak. Created and "hosted by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University, to visualize and track reported cases in real-time. The dashboard, first shared publicly on January 22, illustrates the location and number of confirmed COVID-19 cases, deaths and recoveries for all affected countries. It was developed to provide researchers, public health authorities and the general public with a user-friendly tool to track the outbreak as it unfolds. Further, all the data collected and displayed is made freely available, initially as google sheets, now in a GitHub repository, along with the feature layers of the dashboard, which are now included in the ESRI Living Atlas."
4. World Health Organization - Link to the World Health Organization’s (WHO) website on the Coronavirus (COVID 19).
5. Center for Disease Control - Link to the Center of Disease Controls (CDC) Coronavirus Disease 2019 (COVID-19) in the U.S.
6. Montana Department of Health & Human Resources - Link to the Montana Department of Public Health & Human Services Coronavirus Disease 2019 (COVID-19).
7. Travel information from the CDC - Link to Center of Disease Controls (CDC) Coronavirus Disease 2019 Information for Travel.

The Dashboard for the CoA Site Visits map is located here: https://arcg.is/1TPKDWMap Note: This GIS data represents the frequency of site visits in an area and is not intended to identify a specific or precise on-ground locationDisclaimer: This product is for informational purposes and may not have been prepared for or be suitable for legal, engineering, or surveying purposes. It does not represent an on-the-ground survey and represents only the approximate relative location of property boundaries. This product has been produced by the Watershed Protection Department for the sole purpose of geographic reference. No warranty is made by the City of Austin regarding specific accuracy or completeness.The web map (in the upper right hand panel) contains these layers:"Encampment Site Visits/Reports" - This is a point layer that contains both 311 calls/reports as well as visits to the encampments recorded by City of Austin employees. This data has been aggregated from multiple sources which are curated by the individual City departments. "Site Visits By Area (Size)" - A generalized area that counts Site Visits and displays the counts as a larger or smaller polygon according to its point count"311 Reports By Area (Size)" - A generalized area that counts 311 Reports and displays the counts as a larger or smaller polygon according to its point count"Hexbin Grid Areas" - Shows the Grid Area that collects the points and is used to generate the two above layers. The Grids are roughly 2500 feet across, and encompass roughly 1/5th of a mile in area.Council Districts, ZIP Codes, the Downtown Area Planning and Coordination Zone (DAPCZ), and Travis County Pricincts are also listed for referenceThere are several interactive infographics in the Dashboard; if you click on a graph or chart element, it will filter the other map or graph elements if they are dependent.

The global Business Dashboard Software market is experiencing robust growth, driven by the increasing need for data-driven decision-making across industries. The market, estimated at $15 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 12% from 2025 to 2033. This significant expansion is fueled by several key factors. The widespread adoption of cloud-based solutions offers scalability, cost-effectiveness, and accessibility, fostering market penetration among Small and Medium-sized Enterprises (SMEs). Simultaneously, large enterprises are increasingly investing in sophisticated dashboarding tools to gain real-time insights into operational efficiency, customer behavior, and market trends. The ongoing digital transformation initiatives across diverse sectors, including finance, healthcare, and retail, are further accelerating demand. Moreover, the rising adoption of advanced analytics capabilities within business intelligence platforms is enhancing the value proposition of these dashboards, enabling businesses to derive more actionable intelligence from their data. Competition within the market is intense, with established players and emerging vendors vying for market share through innovation in areas such as artificial intelligence (AI) integration, improved user experience, and enhanced data visualization features. While the on-premises segment continues to maintain a presence, the cloud-based segment is demonstrating faster growth due to its inherent flexibility and cost benefits. Geographic expansion is another contributing factor to market growth. North America currently holds a substantial market share, owing to early adoption and the presence of major technology companies. However, regions like Asia-Pacific are demonstrating strong growth potential, fueled by increasing digitalization and economic development. While factors such as the high initial investment costs and the need for skilled professionals to effectively utilize these platforms can pose challenges, the overall trajectory points towards sustained growth in the business dashboard software market throughout the forecast period. The market's evolution towards more integrated, AI-powered, and user-friendly solutions will continue to shape its landscape in the coming years.

LUV-it's modeled geography for allocating households, persons, and jobs. The control_hct is nested within the local city Targets boundary and is a combination of Target geographies and high capacity transit geographies (HCTs). This geography is identical to the subregs geography. The distinction between the two geographies is the subregs geography is the geography used by UrbanSim to model. The control_hct geography is the reported out geography.

Abstract

The dashboard project collects new data in each country using three new instruments: a School Survey, a Policy Survey, and a Survey of Public Officials. Data collection involves school visits, classroom observations, legislative reviews, teacher and student assessments, and interviews with teachers, principals, and public officials. In addition, the project draws on some existing data sources to complement the new data it collects. A major objective of the GEPD project was to develop focused, cost-effective instruments and data-collection procedures, so that the dashboard can be inexpensive enough to be applied (and re-applied) in many countries. The team achieved this by streamlining and simplifying existing instruments, and thereby reducing the time required for data collection and training of enumerators.

Geographic coverage

National

Analysis unit

Schools, teachers, students, public officials

Kind of data

Sample survey data [ssd]

Sampling procedure

The aim of the Global Education Policy Dashboard school survey is to produce nationally representative estimates, which will be able to detect changes in the indicators over time at a minimum power of 80% and with a 0.05 significance level. We also wish to detect differences by urban/rural location.

For our school survey, we will employ a two-stage random sample design, where in the first stage a sample of typically around 200 schools, based on local conditions, is drawn, chosen in advance by the Bank staff. In the second stage, a sample of teachers and students will be drawn to answer questions from our survey modules, chosen in the field. A total of 10 teachers will be sampled for absenteeism. Five teachers will be interviewed and given a content knowledge exam. Three 1st grade students will be assessed at random, and a classroom of 4th grade students will be assessed at random. Stratification will be based on the school’s urban/rural classification and based on region. When stratifying by region, we will work with our partners within the country to make sure we include all relevant geographical divisions.

For our Survey of Public Officials, we will sample a total of 200 public officials. Roughly 60 officials are typically surveyed at the federal level, while 140 officials will be surveyed at the regional/district level. For selection of officials at the regional and district level, we will employ a cluster sampling strategy, where roughly 10 regional offices (or whatever the secondary administrative unit is called) are chosen at random from among the regions in which schools were sampled. Then among these 10 regions, we also typically select around 10 districts (tertiary administrative level units) from among the districts in which schools werer sampled. The result of this sampling approach is that for 10 clusters we will have links from the school to the district office to the regional office to the central office. Within the regions/districts, five or six officials will be sampled, including the head of organization, HR director, two division directors from finance and planning, and one or two randomly selected professional employees among the finance, planning, and one other service related department chosen at random. At the federal level, we will interview the HR director, finance director, planning director, and three randomly selected service focused departments. In addition to the directors of each of these departments, a sample of 9 professional employees will be chosen in each department at random on the day of the interview.

Sampling deviation

MELQO data was merged with the Peru school frame in order to optimally stratify. We stratified on the basis of urban/rual and department. There are 25 departments in Peru. In 2017, Peru conducted an examination of around 4,500 children between 5 and 8 years old, with a median age of 6. The MELQO exam is quite similar to our ECD examination module. We are able to use data from this 2017 survey to choose the number of schools in each province optimally by calculating means and standard deviations by province and feeding this information into the optimal stratification algorithm. See https://cran.r-project.org/web/packages/SamplingStrata/vignettes/SamplingStrata.html. Provinces with low standard deviations among students in terms of their MELQO development scores are allocated fewer schools compared to an allocation that is simply based on population, and provinces with high standard deviations are allocated more schools.

203 schools were chosen for our survey after optimally stratifying.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

The dashboard project collects new data in each country using three new instruments: a School Survey, a Policy Survey, and a Survey of Public Officials. Data collection involves school visits, classroom observations, legislative reviews, teacher and student assessments, and interviews with teachers, principals, and public officials. In addition, the project draws on some existing data sources to complement the new data it collects. A major objective of the GEPD project was to develop focused, cost-effective instruments and data-collection procedures, so that the dashboard can be inexpensive enough to be applied (and re-applied) in many countries. The team achieved this by streamlining and simplifying existing instruments, and thereby reducing the time required for data collection and training of enumerators.

More information pertaining to each of the three instruments can be found below:

• School Survey: The School Survey collects data primarily on practices (the quality of service delivery in schools), but also on some de facto policy indicators. It consists of streamlined versions of existing instruments—including Service Delivery Surveys on teachers and inputs/infrastructure, Teach on pedagogical practice, Global Early Child Development Database (GECDD) on school readiness of young children, and the Development World Management Survey (DWMS) on management quality—together with new questions to fill gaps in those instruments. Though the number of modules is similar to the full version of the Service Delivery Indicators (SDI) Survey, the number of items and the complexity of the questions within each module is significantly lower. The School Survey includes 8 short modules: School Information, Teacher Presence, Teacher Survey, Classroom Observation, Teacher Assessment, Early Learner Direct Assessment, School Management Survey, and 4th-grade Student Assessment. For a team of two enumerators, it takes on average about 4 hours to collect all information in a given school. For more information, refer to the Frequently Asked Questions.

• Policy Survey: The Policy Survey collects information to feed into the policy de jure indicators. This survey is filled out by key informants in each country, drawing on their knowledge to identify key elements of the policy framework (as in the SABER approach to policy-data collection that the Bank has used over the past 7 years). The survey includes questions on policies related to teachers, school management, inputs and infrastructure, and learners. In total, there are 52 questions in the survey as of June 2020. The key informant is expected to spend 2-3 days gathering and analyzing the relavant information to answer the survey questions.

• Survey of Public Officials: The Survey of Public Officials collects information about the capacity and orientation of the bureaucracy, as well as political factors affecting education outcomes. This survey is a streamlined and education-focused version of the civil-servant surveys that the Bureaucracy Lab (a joint initiative of the Governance Global Practice and the Development Impact Evaluation unit of the World Bank) has implemented in several countries. The survey includes questions about technical and leadership skills, work environment, stakeholder engagement, impartial decision-making, and attitudes and behaviors. The survey takes 30-45 minutes per public official and is used to interview Ministry of Education officials working at the central, regional, and district levels in each country.

Sampling error estimates

The aim of the Global Education Policy Dashboard school survey is to produce nationally representative estimates, which will be able to detect changes in the indicators over time at a minimum power of 80% and with a 0.05 significance level.

Municipal Parcel Status data as used in MassGIS' Parcel Mapping Dashboard. This is a layer saved from an ArcGIS Server-based feature service. MassGIS stores the data in the GISDATA.L3_STATUS feature class.Fields include:MunicipalityCity/Town IDParcel Data Fiscal YearTax Bill CycleCAMA SystemParcels Maintained ByParcels Update ReceivedParcels Passed QARecertification Fiscal YearView and download the data at the MassGIS Data Hub.Also see the MassGIS Property Tax Parcels metadata page.