The heat map software market is experiencing robust growth, driven by the increasing need for businesses to understand user behavior and optimize website and application design for enhanced user experience (UX). The market, estimated at $2 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, reaching approximately $6 billion by 2033. This growth is fueled by several key factors. Firstly, the rising adoption of digital platforms across various industries necessitates effective UX optimization, making heat map software an indispensable tool for businesses aiming to boost conversion rates and customer satisfaction. Secondly, advancements in technology, such as AI-powered analytics and integration with other marketing tools, are enhancing the capabilities and accessibility of heat map solutions. Finally, the growing emphasis on data-driven decision-making within organizations further propels the market's expansion. The competitive landscape is characterized by a blend of established players and emerging startups, fostering innovation and driving down prices. While increased competition could pose a challenge, the overall market outlook remains highly positive, with continued growth anticipated across various regions and segments. Despite its promising trajectory, the market faces some restraints. The relatively high cost of advanced heat map software may limit adoption for smaller businesses with tighter budgets. Furthermore, the complexity of analyzing and interpreting heat map data may require specialized expertise, posing a barrier for some users. However, the ongoing development of user-friendly interfaces and affordable solutions is gradually mitigating these challenges. Segmentation within the market is evolving, with distinct solutions emerging for specific industries and applications, catering to niche needs. The market is segmented by deployment (cloud, on-premise), pricing model (subscription, one-time purchase) and industry (e-commerce, gaming, education, etc). Key players like Hotjar, Smartlook, and others are actively innovating to expand their offerings and remain competitive in this dynamic market.

Wondering why users leave your site without converting? You may have a gut-instinct answer to the question. You might even have ideas for how to tweak design, rewrite headlines, or add new features in an attempt to get users to stick around. But guesswork isn’t a strategy. Expert researchers don’t guess. They use data, and […]

This story map explains how to use heat mapping within smart mapping to show density within your maps in ArcGIS Online. You can easily select the heat map style to show where your data is spatially clustered. Go beyond the defaults to show density for an attribute, telling the story of an area that is statistically significant. Add the points layer back into the map with transparency as a reference to the heat map. This story map walks you through examples, which can help get you started with smart mapping heat maps. For more information, visit the Help Pages.

Market Size and Key Trends: The Heat Maps Software market is anticipated to grow at a CAGR of 9.3% from 2025 to 2033, reaching a valuation of 886 million value units by 2033. The increasing demand for user experience optimization, personalized experiences on websites and mobile apps, and the need for data-driven decision-making are driving the market growth. Cloud-based and web-based heat maps software are gaining traction due to their cost-effectiveness, flexibility, and accessibility advantages. Competitive Landscape and Regional Dynamics: The Heat Maps Software market is highly competitive, with a diverse range of players from global technology giants to niche software providers. Key market players include Hotjar, Smartlook, VWO, Zoho PageSense, Freshmarketer, Crazy Egg, Lucky Orange, Hitsteps Web Analytics, EyeQuant, UserZoom, Instapage, Clicktale, Acoustic Experience Analytics, Mouseflow, ContentSquare, and SessionCam. North America is expected to remain the dominant market due to the presence of major technology and digital marketing hubs, while Asia Pacific is projected to experience the fastest growth due to the expanding e-commerce and mobile internet usage in the region.

The global heat maps software market is growing rapidly, driven by the increasing demand for customer experience optimization. According to a recent study, the market size was valued at USD 825.2 million in 2025 and is expected to grow at a CAGR of 8.9% from 2025 to 2033. The growth is attributed to the rising adoption of cloud-based heat maps software, which offers scalability, flexibility, and cost-effectiveness. Enterprises and SMEs are leveraging heat maps software to gain valuable insights into user behavior patterns and optimize their websites and applications. Key trends in the market include the integration of artificial intelligence (AI) and machine learning (ML) for advanced data analysis, the emergence of mobile heat maps software, and the growing demand for real-time heatmaps. North America and Europe dominate the market, followed by Asia Pacific. Prominent players in the market include Hotjar, Smartlook, VWO, Zoho PageSense, Freshmarketer, Crazy Egg, Lucky Orange, Hitsteps Web Analytics, EyeQuant, UserZoom, Instapage, Clicktale, Acoustic Experience Analytics (formerly Tealeaf), Mouseflow, ContentSquare, SessionCam, and more.

About the App This app hosts data from Heat Resilience Solutions for Boston (the Heat Plan). It features maps that include daytime and nighttime air temperature, urban heat island index, and extreme heat duration. About the DataA citywide urban canopy model was developed to produce modeled air temperature maps for the City of Boston Heat Resilience Study in 2021. Sasaki Associates served as the lead consultant working with the City of Boston. The technical methodology for the urban canopy model was produced by Klimaat Consulting & Innovation Inc. A weeklong analysis period during July 18th-24th, 2019 was selected to produce heat characteristics maps for the study (one of the hottest weeks in Boston that year). The data array represents the modelled, average hourly urban meteorological condition at 100 meter spatial resolution. This dataset was processed into urban heat indices and delivered as georeferenced image layers. The data layers have been resampled to 10 meter resolution for visualization purposes. For the detailed methodology of the urban canopy model, visit the Heat Resilience Study project website.

This dataset reflects reported incidents of crime (with the exception of murders where data exists for each victim) that occurred in the City of Chicago from 2001 to present, minus the most recent seven days. Data is extracted from the Chicago Police Department's CLEAR (Citizen Law Enforcement Analysis and Reporting) system. In order to protect the privacy of crime victims, addresses are shown at the block level only and specific locations are not identified. Should you have questions about this dataset, you may contact the Research & Development Division of the Chicago Police Department at 312.745.6071 or RandD@chicagopolice.org. Disclaimer: These crimes may be based upon preliminary information supplied to the Police Department by the reporting parties that have not been verified. The preliminary crime classifications may be changed at a later date based upon additional investigation and there is always the possibility of mechanical or human error. Therefore, the Chicago Police Department does not guarantee (either expressed or implied) the accuracy, completeness, timeliness, or correct sequencing of the information and the information should not be used for comparison purposes over time. The Chicago Police Department will not be responsible for any error or omission, or for the use of, or the results obtained from the use of this information. All data visualizations on maps should be considered approximate and attempts to derive specific addresses are strictly prohibited. The Chicago Police Department is not responsible for the content of any off-site pages that are referenced by or that reference this web page other than an official City of Chicago or Chicago Police Department web page. The user specifically acknowledges that the Chicago Police Department is not responsible for any defamatory, offensive, misleading, or illegal conduct of other users, links, or third parties and that the risk of injury from the foregoing rests entirely with the user. The unauthorized use of the words "Chicago Police Department," "Chicago Police," or any colorable imitation of these words or the unauthorized use of the Chicago Police Department logo is unlawful. This web page does not, in any way, authorize such use. Data is updated daily Tuesday through Sunday. The dataset contains more than 65,000 records/rows of data and cannot be viewed in full in Microsoft Excel. Therefore, when downloading the file, select CSV from the Export menu. Open the file in an ASCII text editor, such as Wordpad, to view and search. To access a list of Chicago Police Department - Illinois Uniform Crime Reporting (IUCR) codes, go to http://data.cityofchicago.org/Public-Safety/Chicago-Police-Department-Illinois-Uniform-Crime-R/c7ck-438e

Urban heat islands are small areas where temperatures are unnaturally high - usually due to dense buildings, expansive hard surfaces, or a lack of tree cover or greenspace. People living in these communities are exposed to more dangerous conditions, especially as daytime high and nighttime low temperatures increase over time. NOAA Climate Program Office and CAPA Strategies have partnered with cities around the United States to map urban heat islands. The NOAA Visualization Lab, part of the NOAA Satellite and Information Service, has made the original heat mapping data available as feature services.

The Scotland Heat Map is a tool to help plan for the reduction of carbon emissions from heat in buildings. This service allows users to download spatial data from the map. The Scotland Heat Map is produced by the Scottish Government. The most recent version is the Scotland Heat Map 2022, which was released to local authorities in November 2023. More information can be found in the documentation available on the Scottish Government website: https://www.gov.scot/publications/scotland-heat-map-documents/

London Heat Map --------------- The London Heat Map is a tool designed to help you identify areas of high heat demand, explore opportunities for new and expanding district heat networks and to draw potential heat networks and assess their financial feasibility. The new version of the London Heat Map was created for the Greater London Authority by the Centre for Sustainable Energy (CSE) in July 2019. The London Heat Map is regularly updated with new network data and other datasets. Background datasets such as building heat demand was last updated on 26/06/2023. The London Heatmap is a map-based web application you can use to find and appraise opportunities for decentralised energy (DE) projects in London. The map covers the whole of Greater London, and provides very local information to help you identify and develop DE opportunities, including data such as: * Heat demand values for each building * Locations of potential heat supply sites * Locations of existing and proposed district heating networks * A spatial heat demand density map layer The map also includes a user-friendly visual tool for heat network design. This is intended to support preliminary techno-economic appraisal of potential district heat networks. The London Heat Map is used by a wide variety of people in numerous ways: * London Boroughs can use the new map to help develop their energy master plans. * Property developers can use the map to help them meet the decentralised energy policies in the London Plan. * Energy consultants can use the map to gather initial data to inform feasibility studies. More information is available here, and an interactive map is available here. Building-level estimated annual and peak heat demand data from the London Heat Map has been made available through the data extracts below. The data was last updated on 26/06/2023. The data contains Ordnance Survey mapping and the data is published under Ordnance Survey's 'presumption to publish'. © Crown copyright and database rights 2023. The Decentralised Energy Master planning programme (DEMaP) ---------------------------------------------------------- The Decentralised Energy Master planning programme (DEMaP), was completed in October 2010. It included a heat mapping support package for the London boroughs to enable them to carry out high resolution heat mapping for their area. To date, heat maps have been produced for 29 London boroughs with the remaining four boroughs carrying out their own data collection. All of the data collected through this process is provided below. ### Carbon Calculator Tool Arup have produced a Carbon Calculator Tool to assist projects in their early estimation of the carbon dioxide (CO2) savings which could be realised by a district heating scheme with different sources of heating. The calculator's estimates include the impact of a decarbonising the electrical grid over time, based on projections by the Department for Energy and Climate Change, as well as the Government's Standard Assessment Procedure (SAP). The Excel-based tool can be downloaded below. ### Borough Heat Maps Data and Reports (2012) In March 2012, all London boroughs did a heat mapping exercise. The data from this includes the following and can be downloaded below: * Heat Load for all boroughs * Heat Supplies for all boroughs * Heat Network * LDD 2010 database * Complete GIS London Heat Map Data The heat maps contain real heat consumption data for priority buildings such as hospitals, leisure centres and local authority buildings. As part of this work, each of the boroughs developed implementation plans to help them take the DE opportunities identified to the next stages. The implementation plans include barriers and opportunities, actions to be taken by the council, key dates, personnel responsible. These can be downloaded below. Other Useful Documents ---------------------- Other useful documents can be downloaded from the links below: Energy Masterplanning Manual Opportunities for Decentralised Energy in London - Vision Map London Heat Network Manual London Heat Network Manual II

Find out the most popular cycling routes and running routes across North Yorkshire and the world.

This is a useful website to show where the most popular cycling and running routes are in your area.

Why not try going for a run or a ride? Why not try cycling to work? Have a healthier hobby? or visit an attractive part of the County and take in a ride?

Urban heat islands are small areas where temperatures are unnaturally high - usually due to dense buildings, expansive hard surfaces, or a lack of tree cover or greenspace. People living in these communities are exposed to more dangerous conditions, especially as daytime high and nighttime low temperatures increase over time. NOAA Climate Program Office and CAPA Strategies have partnered with cities around the United States to map urban heat islands. The NOAA Visualization Lab, part of the NOAA Satellite and Information Service, has made the original heat mapping data available as feature services.

The Scotland Heat Map provides estimates of heat demand for all properties in Scotland. To indicate reliability, each estimate is assigned a confidence level from 1 to 5. Level 1 is least reliable and level 5 most. This is mainly determined by the presence of information that would directly impact on heat demand in the estimate's source data. For example, estimates based on data that includes building type, age and floor area would be more reliable than estimates based solely on floor area derived from mapping data. This raster dataset gives the average (mean) confidence level of properties within 250m x 250m grid squares covering all of Scotland. The Scotland Heat Map is a tool to help plan for the reduction of carbon emissions from heat in buildings. Average confidence level is an indicator of reliability of the heat demand estimates within an area and allows planners to decide whether they meet their needs. The map is produced by the Scottish Government. The most recent version is the Scotland Heat Map 2022, which was released to local authorities in November 2023. More information can be found in the documentation available on the Scottish Government website: https://www.gov.scot/publications/scotland-heat-map-documents/

The Scotland Heat Map provides the locations of existing and planned heat networks. Both communal and district heat networks are included. Data about each network includes, where available, heat capacity size category, network name, status (either 'operational' or 'in development') and the main technology used (for example, 'boiler'). There is only one point location for each network, the data does not show all connected properties or pipe layouts. Networks can serve domestic properties, non-domestic properties or a mixture of the two. Heat networks have the potential to reduce carbon emissions from heating buildings. Alongside other heat map datasets, information on existing and planned networks is used to identify further opportunities to reduce carbon emissions. For example, by connecting more buildings to an existing network or by replacing the energy source with a nearby lower carbon alternative. Data on heat networks comes from two sources. These are: the UK Department for Energy Security and Net Zero's Heat Networks (Metering and Billing) Regulations (HNMBR) dataset and Zero Waste Scotland's Low Carbon Heat Database (LCHD). The most recent data available is up to end July 2022 for the HNMBR dataset (though the majority of the HNMBR data included in the heat map is up to end December 2018) and January 2022 for the LCHD. More information can be found in the documentation available on the Scottish Government website: https://www.gov.scot/publications/scotland-heat-map-documents/

Urban heat islands are small areas where temperatures are unnaturally high - usually due to dense buildings, expansive hard surfaces, or a lack of tree cover or greenspace. People living in these communities are exposed to more dangerous conditions, especially as daytime high and nighttime low temperatures increase over time. NOAA Climate Program Office and CAPA Strategies have partnered with cities around the United States to map urban heat islands. Using Sentinel-2 satellite thermal data along with on-the-ground sensors, air temperature and heat indexes are calculated for morning, afternoon, and evening time periods. The NOAA Visualization Lab, part of the NOAA Satellite and Information Service, has made the original heat mapping data available as dynamic image services.Dataset SummaryPhenomenon Mapped: heat indexUnits: degrees Fahrenheit Cell Size: 30 metersPixel Type: 32 bit floating pointData Coordinate Systems: WGS84 Mosaic Projection: WGS84 Extent: cities within the United StatesSource: NOAA and CAPA StrategiesPublication Date: September 20, 2021What can you do with this layer?This imagery layer supports communities' UHI spatial analysis and mapping capabilities. The symbology can be manually changed, or a processing template applied to the layer will provide a custom rendering. Each city can be queried.Related layers include Morning Heat Index and Afternoon Heat Index. Cities IncludedBoulder, CO Brooklyn, NY Greenwich Village, NY Columbia, SC Columbia, MO Columbus, OH Knoxville, TN Jacksonville, FL Las Vegas, NV Milwaukee, WI Nashville, TN Omaha, NE Philadelphia, PA Rockville, MD Gaithersburg, MD Takoma Park, MD San Francisco, CA Spokane, WA Abingdon, VA Albuquerque, NM Arlington, MA Woburn, MA Arlington, VA Atlanta, GA Charleston, SC Charlottesville, VA Clarksville, IN Farmville, VA Gresham, OR Harrisonburg, VA Kansas City, MO Lynchburg, VA Manhattan, NY Bronx, NY Newark, NJ Jersey City, NJ Elizabeth, NJ Petersburg, VA Raleigh, NC Durham, NC Richmond, VA Richmond, IN Salem, VA San Diego, CA Virginia Beach, VA Winchester, VA Austin, TX Burlington, VT Cincinnati, OH Detroit, MI El Paso, TX Houston, TX Jackson, MS Las Cruces, NM Miami, FL New Orleans, LA Providence, RI Roanoke, VA San Jose, CA Seattle, WA Vancouver, BC Canada Boston, MA Fort Lauderdale, FL Honolulu, HI Boise, ID Nampa, ID Los Angeles, CA Yonkers, NY Oakland, CA Berkeley, CA San Juan, PR Sacramento, CA San Bernardino, CA Victorville, CA West Palm Beach, FL Worcester, MA Washington, D.C. Baltimore, MD Portland, ORCities may apply to be a part of the Heat Watch program through the CAPA Strategies website. Attribute Table Informationcity_name: Evening Heat Index Observations in Floating-Point (°F)

The Scotland Heat Map provides estimates of annual heat demand for almost 3 million properties in Scotland. Demand is given in kilowatt-hours per year (kWh/yr). Property level estimates can be combined to give values for various geographies. Both domestic and non-domestic properties are included. This raster dataset gives the total estimated heat demand of properties within 500m x 500m grid squares covering all of Scotland. Heat demand is calculated by combining data from a number of sources, ensuring that the most appropriate data available is used for each property. The data can be used by local authorities and others to identify or inform opportunities for low carbon heat projects such as district heat networks. The Scotland Heat Map is produced by the Scottish Government. The most recent version is the Scotland Heat Map 2022, which was released to local authorities in November 2023. More information can be found in the documentation available on the Scottish Government website: https://www.gov.scot/publications/scotland-heat-map-documents/

Web Analytics Market was valued at USD 6.16 Billion in 2024 and is projected to reach USD 13.6 Billion by 2032, growing at a CAGR of 18.58% from 2026 to 2032.

Web Analytics Market Drivers

Data-Driven Decision Making: Businesses increasingly rely on data-driven insights to optimize their online strategies. Web analytics provides valuable data on website traffic, user behavior, and conversion rates, enabling data-driven decision-making.

E-commerce Growth: The rapid growth of e-commerce has fueled the demand for web analytics tools to track online sales, customer behavior, and marketing campaign effectiveness.

Mobile Dominance: The increasing use of mobile devices for internet browsing has made mobile analytics a crucial aspect of web analytics. Businesses need to understand how users interact with their websites and apps on mobile devices.

analytics tools can be complex to implement and use, requiring technical expertise.

This map features detectable thermal activity over the Caribbean from MODIS satellites for the last 24 hours. MODIS Global Fires is a product of The University of Maryland's Fire Information for Resource Management System (FIRMS). FIRMS integrates remote sensing and GIS technologies to deliver global MODIS hotspot/fire locations to natural resource managers and other stakeholders around the World. MODIS stands for MODerate Resolution Imaging Spectroradiometer. The MODIS instrument is on board NASA’s Earth Observing System (EOS) Terra (EOS AM) and Aqua (EOS PM) satellites. The orbit of the Terra satellite goes from north to south across the equator in the morning and Aqua passes south to north over the equator in the afternoon resulting in global coverage every 1 to 2 days. The EOS satellites have a ±55 degree scanning pattern and orbit at 705 km with a 2,330 km swath width. It takes approximately 2 – 4 hours after satellite overpass for MODIS Rapid Response to process the data, and for FIRMS to update the website. Occasionally, hardware errors mean that it takes longer the 2-4 hours to process the data. For information on the system status of MODIS Rapid Response, click here. We gather this data from the EOSDIS download site. These shapefiles from NASA are parsed using the Aggregated Live Feeds methodology to take the returned information and serve the data through ArcGIS Server as a map service. For performance reasons these layers do not draw when zoomed out beyond 1:20000000. Attribute Information:Latitude and Longitude: The center point location of the 1km (approx.) pixel flagged as containing one or more fires/hotspots (fire size is not 1km, but variable). See What does a hotspot/fire detection mean on the ground?Brightness: The brightness temperature, measured (in Kelvin) using the MODIS channels 21/22 and channel 31.Scan and Track: The actual spatial resolution of the scanned pixel. Although the algorithm works at 1km resolution, the MODIS pixels get bigger toward the edge of the scan. See What does scan and track mean?Date: Acquisition date of the hotspot/active fire pixel.Time: Time of the overpass of the satellite (in UTC).Satellite: Whether the detection was picked up by the Terra or Aqua satellite.Confidence: The detection confidence is a quality flag of the individual hotspot/active fire pixel.Version: Version refers to the processing collection and source of data. The number before the decimal refers to the collection(e.g. MODIS Collection 5). The number after the decimal indicates the source of Level 1B data; data processed in near-real time byMODIS Rapid Response will have the source code “CollectionNumber.0”. Data sourced from MODAPS (with a 2 month lag) and processed by FIRMS using the standard MOD14/MYD14 Thermal Anomalies algorithm will have a source code “CollectionNumber.x”. For example, data with the version listed as 5.0 is collection 5, processed by MRR, data with the version listed as 5.1 is collection 5 data processed by FIRMS using Level 1B data from MODAPS. See What is the difference between data sourced from MODIS Rapid Response and MODAPS Collection 5?Bright.T31: Channel 31 brightness temperature (in Kelvins) of the hotspot/active fire pixel.FRP: Fire Radiative Power. Depicts the pixel-integrated fire radiative power in MW (MegaWatts). FRP provides information on the measured radiant heat output of detected fires. The amount of radiant heat energy liberated per unit time (the Fire Radiative Power) is thought to be related to the rate at which fuel is being consumed (Wooster et. al. (2005))

This story map journal highlights some apps, web maps, and databases to understand and prepare for extreme heat. Some of the apps contained in this story map are: