Geographic Information System Software Market Outlook

The global Geographic Information System (GIS) Software market size was valued at approximately USD 7.8 billion in 2023 and is projected to reach USD 15.6 billion by 2032, growing at a compound annual growth rate (CAGR) of 8.3% during the forecast period. This impressive growth can be attributed to the increasing demand for efficient data management tools across various industries, which rely on spatial data for decision-making and strategic planning. The rapid advancements in technology, such as the integration of AI and IoT with GIS software, have further propelled the market, enabling organizations to harness the full potential of geographic data in innovative ways.

One of the primary growth drivers of the GIS Software market is the burgeoning need for urban planning and smart city initiatives worldwide. As urbanization trends escalate, cities are increasingly relying on GIS technology to manage resources more effectively, optimize transportation networks, and enhance public safety. The ability of GIS software to provide real-time data and spatial analysis is vital for city planners and administrators faced with the challenges of modern urban environments. Furthermore, the trend towards digital transformation in governmental organizations is boosting the adoption of GIS solutions, as they seek to improve operational efficiency and service delivery.

The agricultural sector is also experiencing significant transformations due to the integration of GIS software, which is another pivotal growth factor for the market. Precision agriculture, which involves the use of GIS technologies to monitor and manage farming practices, is enabling farmers to increase crop yields while reducing resource consumption. By leveraging spatial data, farmers can make informed decisions about planting, irrigation, and harvesting, ultimately leading to more sustainable agricultural practices. This trend is particularly prominent in regions where agriculture forms a substantial portion of the economy, encouraging the adoption of advanced GIS tools to maintain competitive advantage.

Another influential factor contributing to the growth of the GIS Software market is the increasing importance of environmental management and disaster response. GIS technology plays a crucial role in assessing environmental changes, managing natural resources, and planning responses to natural disasters. The ability to overlay various data sets onto geographic maps allows for better analysis and understanding of environmental phenomena, making GIS indispensable in tackling issues such as climate change and resource depletion. Moreover, governments and organizations are investing heavily in GIS tools that aid in disaster preparedness and response, ensuring timely and effective action during emergencies.

The evolution of GIS Mapping Software has been instrumental in transforming how spatial data is utilized across various sectors. These software solutions offer robust tools for visualizing, analyzing, and interpreting geographic data, enabling users to make informed decisions based on spatial insights. With the ability to integrate multiple data sources, GIS Mapping Software provides a comprehensive platform for conducting spatial analysis, which is crucial for applications ranging from urban planning to environmental management. As technology continues to advance, the capabilities of GIS Mapping Software are expanding, offering more sophisticated features such as 3D visualization and real-time data processing. These advancements are not only enhancing the utility of GIS tools but also making them more accessible to a wider range of users, thereby driving their adoption across different industries.

Regionally, North America and Europe have traditionally dominated the GIS Software market, thanks to their robust technological infrastructure and higher adoption rates of advanced technologies. However, Asia Pacific is expected to witness the highest growth rate during the forecast period, driven by rapid urbanization, increased government spending on infrastructure development, and the expanding telecommunications sector. The growing awareness and adoption of GIS solutions in countries like China and India are significant contributors to this regional growth. Furthermore, Latin America and the Middle East & Africa regions are slowly catching up, with ongoing investments in smart city projects and infrastructure development driving the demand for GIS software.

Component Analysis</h2&

Geographic Information System (GIS) Software Market Outlook

According to our latest research, the global Geographic Information System (GIS) Software market size reached USD 11.6 billion in 2024, reflecting a robust demand for spatial data analytics and location-based services across various industries. The market is experiencing a significant growth trajectory, driven by a CAGR of 12.4% from 2025 to 2033. By the end of 2033, the GIS Software market is forecasted to attain a value of USD 33.5 billion. This remarkable expansion is primarily attributed to the integration of advanced technologies such as artificial intelligence, IoT, and cloud computing, which are enhancing the capabilities and accessibility of GIS platforms.

One of the major growth factors propelling the GIS Software market is the increasing adoption of location-based services across urban planning, transportation, and utilities management. Governments and private organizations are leveraging GIS solutions to optimize infrastructure development, streamline resource allocation, and improve emergency response times. The proliferation of smart city initiatives worldwide has further fueled the demand for GIS tools, as urban planners and municipal authorities require accurate spatial data for effective decision-making. Additionally, the evolution of 3D GIS and real-time mapping technologies is enabling more sophisticated modeling and simulation, expanding the scope of GIS applications beyond traditional mapping to include predictive analytics and scenario planning.

Another significant driver for the GIS Software market is the rapid digitization of industries such as agriculture, mining, and oil & gas. Precision agriculture, for example, relies heavily on GIS platforms to monitor crop health, manage irrigation, and enhance yield forecasting. Similarly, the mining sector uses GIS for exploration, environmental impact assessment, and asset management. The integration of remote sensing data with GIS software is providing stakeholders with actionable insights, leading to higher efficiency and reduced operational risks. Furthermore, the growing emphasis on environmental sustainability and regulatory compliance is prompting organizations to invest in advanced GIS solutions for monitoring land use, tracking deforestation, and managing natural resources.

The evolution of 3D GIS is revolutionizing the way spatial data is visualized and analyzed, offering a more immersive and detailed perspective of geographic information. This technology allows for the creation of three-dimensional models that provide a realistic representation of urban landscapes, infrastructure, and natural environments. By integrating 3D GIS with real-time data feeds, organizations can enhance their spatial analysis capabilities, enabling more accurate simulations and predictions. This advancement is particularly beneficial for urban planners and architects who require detailed visualizations to assess the impact of new developments and infrastructure projects. Moreover, 3D GIS is facilitating better communication and collaboration among stakeholders by providing a common platform for visualizing complex spatial data.

The expanding use of cloud-based GIS solutions is also a key factor driving market growth. Cloud deployment offers scalability, cost-effectiveness, and remote accessibility, making GIS tools more accessible to small and medium enterprises as well as large organizations. The cloud model supports real-time data sharing and collaboration, which is particularly valuable for disaster management and emergency response teams. As organizations increasingly prioritize digital transformation, the demand for cloud-native GIS platforms is expected to rise, supported by advancements in data security, interoperability, and integration with other enterprise systems.

Regionally, North America remains the largest market for GIS Software, accounting for a significant share of global revenues. This leadership is underpinned by substantial investments in smart infrastructure, advanced transportation systems, and environmental monitoring programs. The Asia Pacific region, however, is witnessing the fastest growth, driven by rapid urbanization, government-led digital initiatives, and the expansion of the utility and agriculture sectors. Europe continues to demonstrate steady adoption, particularly in environmental manage

The Unpublished Digital Geologic-GIS Map of Parts of Great Sand Dunes National Park and Preserve (Sangre de Cristo Mountains and part of the Dunes), Colorado is composed of GIS data layers and GIS tables in a 10.1 file geodatabase (gsam_geology.gdb), a 10.1 ArcMap (.mxd) map document (gsam_geology.mxd), individual 10.1 layer (.lyr) files for each GIS data layer, an ancillary map information document (grsa_geology.pdf) which contains source map unit descriptions, as well as other source map text, figures and tables, metadata in FGDC text (.txt) and FAQ (.pdf) formats, and a GIS readme file (grsa_geology_gis_readme.pdf). Please read the grsa_geology_gis_readme.pdf for information pertaining to the proper extraction of the file geodatabase and other map files. To request GIS data in ESRI 10.1 shapefile format contact Stephanie O'Meara (stephanie.omeara@colostate.edu; see contact information below). The data is also available as a 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. Google Earth software is available for free at: http://www.google.com/earth/index.html. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: U.S. Geological Survey. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (gsam_geology_metadata.txt or gsam_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:24,000 and United States National Map Accuracy Standards features are within (horizontally) 12.2 meters or 40 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in Google Earth, ArcGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: http://science.nature.nps.gov/im/inventory/geology/GeologyGISDataModel.cfm). The GIS data projection is NAD83, UTM Zone 13N, however, for the KML/KMZ format the data is projected upon export to WGS84 Geographic, the native coordinate system used by Google Earth. The data is within the area of interest of Great Sand Dunes National Park and Preserve.

The Geographic Information System (GIS) market is experiencing robust growth, projected to reach a substantial size driven by increasing demand across diverse sectors. The market's Compound Annual Growth Rate (CAGR) of 6.38% from 2019 to 2024 indicates a consistent upward trajectory, suggesting continued expansion through 2033. Several factors contribute to this growth. The rising adoption of location-based services (LBS) across various industries, from precise agriculture and efficient logistics in transportation to effective resource management in utilities and mining, fuels market expansion. Furthermore, advancements in hardware and software technologies, including enhanced mapping capabilities, improved surveying tools, and sophisticated analytics, are driving innovation and market penetration. The increasing availability of high-resolution satellite imagery and drone technology also contributes to the market's expansion. Software solutions are a significant component of this market, offering advanced analytical features, geospatial data processing, and visualization tools. The integration of GIS with other technologies, such as IoT and AI, further enhances its capabilities and broadens its application across various sectors. While the market exhibits significant growth potential, certain challenges exist. Data security and privacy concerns related to the handling of geospatial data, along with the high initial investment costs associated with implementing GIS solutions, could restrain market expansion to some extent. However, the long-term benefits of improved operational efficiency, better decision-making, and enhanced resource management are likely to outweigh these challenges. Geographical segmentation reveals diverse growth patterns, with North America and Europe expected to maintain significant market shares due to early adoption and advanced technological infrastructure. However, the Asia-Pacific region is projected to demonstrate rapid growth due to increasing infrastructure development and government initiatives promoting technological advancements. The continued expansion of the GIS market hinges on addressing these challenges while capitalizing on technological advancements and the growing demand across diverse applications. Recent developments include: July 2024 - Trimble and Esri have extended their long-standing strategic partnership, aiming to bolster collaboration in geographic information system (GIS) software, location intelligence, and mapping. This continued collaboration seeks to refine processes, bolster decision-making, and automate workflows, all in pursuit of greener infrastructure planning, construction, and operations for their shared clientele., July 2024 - VertiGIS, one of the global leaders in spatial asset management, has partnered with Esri, one of the global leaders in location intelligence, to deliver advanced GIS solutions to their global customers. This partnership includes reselling, co-selling, and co-marketing, and aligning business and technical strategies. It leverages combined expertise to deliver innovative solutions that meet unique customer needs.. Key drivers for this market are: Growing role of GIS in Smart Cities Ecosystem, Integration of Location-based Mapping Systems with Business Intelligence Systems. Potential restraints include: Growing role of GIS in Smart Cities Ecosystem, Integration of Location-based Mapping Systems with Business Intelligence Systems. Notable trends are: The Rising Smart Cities Development and Urban Planning to Drive the Market Growth.

The Geographic Information System (GIS) market is experiencing robust growth, driven by increasing adoption across diverse sectors. The market, estimated at $25 billion in 2025, is projected to expand significantly over the forecast period (2025-2033), fueled by a Compound Annual Growth Rate (CAGR) of approximately 8%. Key drivers include the rising demand for location-based services, the increasing use of GIS in urban planning and smart city initiatives, and the proliferation of readily available geospatial data. Furthermore, advancements in cloud computing, artificial intelligence, and big data analytics are enhancing GIS capabilities, leading to wider applications in environmental monitoring, disaster management, and precision agriculture. The government and utilities sector remains a dominant market segment, followed by the business sector, which is rapidly adopting GIS solutions for operational efficiency and strategic decision-making. Android-based GIS systems are currently the most prevalent, reflecting the widespread use of Android devices, although iOS and Windows-based systems maintain significant market shares. Competitive landscape analysis reveals key players such as Environmental Systems Research Institute (Esri), Hexagon, Pitney Bowes, and SuperMap actively innovating and expanding their market presence through strategic partnerships and technological advancements. Regional variations in market growth are expected, with North America and Europe maintaining leading positions due to high technological adoption rates and robust economies. However, Asia-Pacific is projected to witness the fastest growth in the coming years, driven by rapid urbanization, economic development, and increasing government investments in infrastructure projects. Restraints to market growth include the high initial investment costs associated with implementing GIS solutions and the need for specialized technical expertise. Nevertheless, the long-term benefits of GIS, encompassing improved efficiency, better decision-making, and enhanced resource management, are expected to overcome these barriers, resulting in sustained market expansion throughout the forecast period. The continuous development of user-friendly GIS software and services is further expected to fuel broader adoption across diverse user groups.

The files linked to this reference are the geospatial data created as part of the completion of the baseline vegetation inventory project for the NPS park unit. Current format is ArcGIS file geodatabase but older formats may exist as shapefiles. The digital vegetation map was produced using a combination of machine processing and visual interpretation. We used two primary image sources. These included 2006 1:12,000-scale infrared aerial photography for the areas west of the Sangre de Cristo Mountain range that was subsequently processed by the USFWS and 2006 National Agricultural Imagery Program (NAIP) imagery, and ground-truthing to interpret the complex patterns of vegetation and landuse at GRSA. Other referenced imagery included 2006 and 2007 Quickbird imagery which covered portions of the project area. All of the interpreted and remotely sensed data were converted to Geographic Information System (GIS) databases using ArcInfo© software. Draft maps created from the vegetation classification were field-tested and revised before independent ecologists completed an assessment of the map‘s accuracy during 2008. During the summer of 2008 we sampled 1,537 accuracy assessment points to establish a final overall accuracy of 73.7%. This metric is subject to considerable interpretation and is discussed in detail in the results section.

Customer Journey Mapping Software Market size was valued to be USD 10.8 Billion in the year 2024 and it is expected to reach USD 53.6 Billion in 2032, at a CAGR of 13.8% over the forecast period of 2026 to 2032.

Customer Journey Mapping (CJM) software is a specialist application that helps organizations see and analyze the various stages of a customer's interaction with a firm. This program delivers a full and comprehensive perspective of the customer experience from the first contact to the final encounter allowing businesses to optimize their operations and increase overall customer satisfaction

. The essence of CJM software is its capacity to record and map out the customer journey in a visual manner such as a flowchart or diagram which aids in identifying pain points, understanding customer wants, and aligning business goals appropriately.

The primary application of customer journey mapping software is to improve customer experience (CX). Understanding the various stages and touchpoints of the customer journey allows firms to discover pain points and areas for improvement. For example, if a customer journey map shows that consumers regularly abandon their shopping carts at the payment stage, the company can investigate and fix the problem whether by streamlining the checkout process, providing clearer instructions, or offering more payment options.

CJMS will use advanced analytics to deliver more detailed insights into client behavior and preferences. The integration of big data and predictive analytics will enable organizations to anticipate client wants and identify possible problems before they arise. This proactive strategy will allow businesses to modify their services and interactions in real-time resulting in a smooth and rewarding consumer experience. Businesses will obtain a holistic picture of the consumer journey by analyzing massive volumes of data from multiple touchpoints revealing patterns and trends that can be used to guide strategic choices and optimize marketing efforts.

Enhanced Attention to Customer Experience (CX): The importance of delivering superior customer experiences for sustaining brand loyalty and boosting revenue is increasingly acknowledged by businesses. The ability of customer journey mapping software to enable businesses to pinpoint and refine customer interaction points throughout their journey is leading to enhanced CX and competitive differentiation.

Embracing Omnichannel Marketing: The engagement of modern consumers with brands through diverse platforms (including websites, social media, and mobile apps) is noted. The tracking of these multi-channel interactions and the understanding of customer behavior facilitated by customer journey mapping software assist in tailoring marketing efforts for better engagement.

The Requirement for Insights Based on Data: The necessity for insights driven by data in comprehending customer behavior and preferences is recognized by businesses. Through the aggregation and examination of customer information from various sources, customer journey mapping software offers critical insights for augmenting customer engagement and loyalty.

Regulatory Compliance Demands: Certain sectors are governed by regulations that enforce data privacy and security standards. Tools for meticulous tracking and management of customer information are provided by customer journey mapping software aiding businesses in meeting these regulatory requirements.

Increased Utilization Among SMBs: The adoption of customer journey mapping software previously more common among larger corporations, is now expanding to Small and Medium Businesses (SMBs). The appeal of this technology to a broader business spectrum is being enhanced by cloud-based solutions and subscription models.

Geographic Information System (GIS) Tools Market Outlook

The global Geographic Information System (GIS) Tools market is poised for significant expansion, with a projected market size of approximately $15.2 billion in 2023, anticipated to reach $28.6 billion by 2032, reflecting a compound annual growth rate (CAGR) of 7.3%. This growth can be attributed to the increasing integration of advanced GIS technologies across various sectors such as agriculture, transportation, and government services, driven by the need for efficient data management and spatial analysis capabilities. The adoption of GIS tools is further influenced by the growing demand for real-time geographic data, which plays a crucial role in decision-making processes across multiple industries.

One of the primary growth factors for the GIS Tools market is the burgeoning demand for high-precision mapping and spatial data analytics. Industries such as agriculture and construction are increasingly relying on GIS technology to optimize resource management and streamline operations. The ability of GIS tools to provide detailed insights into geographical patterns and trends allows companies to make informed decisions, thereby improving operational efficiency and reducing costs. Additionally, advancements in remote sensing technology and data collection methods have significantly enhanced the accuracy and reliability of GIS data, further fueling its adoption across various sectors.

The increasing deployment of GIS tools in urban planning and smart city projects is another key driver of market growth. Governments worldwide are leveraging GIS technology to enhance infrastructure planning, improve public services, and manage environmental resources more effectively. The integration of GIS in smart city initiatives enables authorities to monitor and manage urban environments in real-time, leading to better resource allocation and improved quality of life for residents. As cities continue to expand and evolve, the demand for advanced GIS solutions is expected to grow exponentially, providing significant opportunities for market players.

Furthermore, the rise of location-based services and telematics has expanded the application of GIS tools in the transportation and logistics sectors. Companies are utilizing GIS technology to optimize route planning, track assets, and enhance supply chain management. The integration of GIS with telematics systems allows for real-time monitoring and analysis of vehicle movements, improving fleet efficiency and reducing operational costs. As the transportation industry continues to embrace digital transformation, the demand for GIS tools is likely to increase, further driving market growth.

In terms of regional outlook, North America currently leads the GIS Tools market, driven by high adoption rates of advanced technologies and significant investments in infrastructure development. The presence of major GIS solution providers and a well-established IT infrastructure further contribute to the region's dominance. However, the Asia Pacific region is expected to witness the highest growth during the forecast period, driven by rapid urbanization, increasing government initiatives for infrastructure development, and the growing adoption of GIS technology in emerging economies such as China and India. Europe and the Middle East & Africa regions are also expected to experience steady growth, supported by advancements in GIS applications and the rising need for efficient spatial data management solutions.

The role of a Gis Data Collector is increasingly becoming pivotal in the GIS Tools market. These professionals are responsible for gathering, verifying, and maintaining the spatial data that forms the backbone of GIS applications. With the growing emphasis on high-precision mapping and real-time data analysis, the demand for skilled Gis Data Collectors is on the rise. They play a crucial role in ensuring the accuracy and reliability of geospatial information, which is essential for effective decision-making across various sectors. As industries continue to leverage advanced GIS technologies, the expertise of Gis Data Collectors will be indispensable in facilitating seamless data integration and enhancing the overall quality of GIS solutions.

Component Analysis

The GIS Tools market can be segmented by component into software, hardware, and services, each playing a vital role in the overall market dynamics. The software segment is expected to hold the largest market

According to Cognitive Market Research, the global Digital Maps market size was USD XX million in 2023 and will expand at a compound annual growth rate (CAGR) of XX% from 2024 to 2031.

The global Digital Maps market will expand significantly by XX% CAGR between 2024 to 2031.


North America held the major market of more than XX% of the global revenue with a market size of USD XX million in 2023 and will grow at a compound annual growth rate (CAGR) of XX% from 2024 to 2031.


Europe accounted for a share of over XX% of the global market size of USD XX million.


Asia Pacific held a market of around XX% of the global revenue with a market size of USD XX million in 2023 and will grow at a compound annual growth rate (CAGR) of XX% from 2024 to 2031.


Latin America's market will have more than XX% of the global revenue with a market size of USD XX million in 2023 and will grow at a compound annual growth rate (CAGR) of XX% from 2024 to 2031.


Middle East and Africa held the major market of around XX% of the global revenue with a market size of USD XX million in 2023 and will grow at a compound annual growth rate (CAGR) of XX% from 2024 to 2031.


The Tracking and Telematics segment is set to rise GPS tracking enables fleet managers to monitor their cars around the clock, avoiding expensive problems like speeding and other careless driving behaviors like abrupt acceleration. 


The digital maps market is driven by mobile computing devices that are increasingly used for navigation, and the increased usage of geographic data.


The retail and real estate segment held the highest Digital Maps market revenue share in 2023.

Market Dynamics of Digital Maps:

Key drivers of the Digital Maps Market

Mobile Computing Devices Are Increasingly Used for Navigation leading to market expansion-

Since technology is changing rapidly, two categories of mobile computing devices—tablets and smartphones—are developing and becoming more diverse. One of the newest features accessible in this category is map software, which is now frequently preinstalled on smartphones. Meitrack Group launched the MD500S, a four-channel AI mobile DVR, for the first time in 2022. The MD500S is a 4-channel MDVR with excellent stability that supports DMS, GNSS tracking, video recording, and ADAS. Source- https://www.meitrack.com/ai-mobile-dvr/#:~:text=Mini%204CH%20AI%20Mobile%20DVR,surveillance%20solutions%20that%20uses%20H.

It's no secret that people who own smartphones routinely use built-in mapping apps to find directions and other driving assistance. Furthermore, these individuals use georeferenced data from GPS and GIS apps to find nearby establishments such as cafes, movie theatres, and other sites of interest. Mobile computing devices are now commonly used to acquire accurate 3D spatial information. A personal digital assistant (PDA) is a software agent that uses information from the user's computer, location, and various web sources to accomplish tasks or offer services. Thus, mobile computing devices are increasingly used for navigation leading to market expansion.

The usage of geographic data has increased leading to market expansion-

Since it is used in so many different industries and businesses—including risk and emergency management, infrastructure management, marketing, urban planning, resource management (oil, gas, mining, and other resources), business planning, logistics, and more—geospatial information has seen a boom in recent years. Since location is one of the essential components of context, geo-information also serves as a basis for applications in the future. For example, Atos SE provides services to companies in supply chain management, data centers, infrastructure development, urban planning, risk and emergency management, navigation, and healthcare by utilizing geographic information system (GIS) platforms with location-based services (LBS).

Furthermore, augmented reality-based technologies make use of 3D platforms and GIS data to offer virtual information about people and their environment. Businesses can offer users customized ads by using this information to better understand their needs.Thus, the usage of geographic data has increased leading to market expansion.

Restraints of the Digital Maps Market

Lack of knowledgeable and skilled technicia...

This dataset is a series of digital map-posters accompanying the AdaptNRM Guide: Helping Biodiversity Adapt: supporting climate adaptation planning using a community-level modelling approach.

These represent supporting materials and information about the community-level biodiversity models applied to climate change. Map posters are organised by four biological groups (vascular plants, mammals, reptiles and amphibians), two climate change scenario (1990-2050 MIROC5 and CanESM2 for RCP8.5), and five measures of change in biodiversity.

The map-posters present the nationally consistent data at locally relevant resolutions in eight parts – representing broad groupings of NRM regions based on the cluster boundaries used for climate adaptation planning (http://www.environment.gov.au/climate-change/adaptation) and also Nationally.

Map-posters are provided in PNG image format at moderate resolution (300dpi) to suit A0 printing. The posters were designed to meet A0 print size and digital viewing resolution of map detail. An additional set in PDF image format has been created for ease of download for initial exploration and printing on A3 paper. Some text elements and map features may be fuzzy at this resolution.

Each map-poster contains four dataset images coloured using standard legends encompassing the potential range of the measure, even if that range is not represented in the dataset itself or across the map extent.

Most map series are provided in two parts: part 1 shows the two climate scenarios for vascular plants and mammals and part 2 shows reptiles and amphibians. Eight cluster maps for each series have a different colour theme and map extent. A national series is also provided. Annotation briefly outlines the topics presented in the Guide so that each poster stands alone for quick reference.

An additional 77 National maps presenting the probability distributions of each of 77 vegetation types – NVIS 4.1 major vegetation subgroups (NVIS subgroups) - are currently in preparation.

Example citations:

Williams KJ, Raisbeck-Brown N, Prober S, Harwood T (2015) Generalised projected distribution of vegetation types – NVIS 4.1 major vegetation subgroups (1990 and 2050), A0 map-poster 8.1 - East Coast NRM regions. CSIRO Land and Water Flagship, Canberra. Available online at www.AdaptNRM.org and https://data.csiro.au/dap/.

Williams KJ, Raisbeck-Brown N, Harwood T, Prober S (2015) Revegetation benefit (cleared natural areas) for vascular plants and mammals (1990-2050), A0 map-poster 9.1 - East Coast NRM regions. CSIRO Land and Water Flagship, Canberra. Available online at www.AdaptNRM.org and https://data.csiro.au/dap/.

This dataset has been delivered incrementally. Please check that you are accessing the latest version of the dataset. Lineage: The map posters show case the scientific data. The data layers have been developed at approximately 250m resolution (9 second) across the Australian continent to incorporate the interaction between climate and topography, and are best viewed using a geographic information system (GIS). Each data layers is 1Gb, and inaccessible to non-GIS users. The map posters provide easy access to the scientific data, enabling the outputs to be viewed at high resolution with geographical context information provided.

Maps were generated using layout and drawing tools in ArcGIS 10.2.2

A check list of map posters and datasets is provided with the collection.

Map Series: 7.(1-77) National probability distribution of vegetation type – NVIS 4.1 major vegetation subgroup pre-1750 #0x

8.1 Generalised projected distribution of vegetation types (NVIS subgroups) (1990 and 2050)

9.1 Revegetation benefit (cleared natural areas) for plants and mammals (1990-2050)

9.2 Revegetation benefit (cleared natural areas) for reptiles and amphibians (1990-2050)

10.1 Need for assisted dispersal for vascular plants and mammals (1990-2050)

10.2 Need for assisted dispersal for reptiles and amphibians (1990-2050)

11.1 Refugial potential for vascular plants and mammals (1990-2050)

11.1 Refugial potential for reptiles and amphibians (1990-2050)

12.1 Climate-driven future revegetation benefit for vascular plants and mammals (1990-2050)

12.2 Climate-driven future revegetation benefit for vascular reptiles and amphibians (1990-2050)

Geo List is a configurable app template that allows you to present an ordered list of features based on the values of a field. Users can page through the feature one at a time.When authoring the app, keep in mind that the content displayed for each feature in the list is derived from the pop-up that has been authored in the web map. If you do not like the way it is presented then modify the pop-up in the map for the Ranking Layer. For more information on authoring pop-up content see this ArcGIS Help topic or this Get Started Lesson. Configurable OptionsUse Geo List to present a web map and configure it using the following options:Title, Descriptive or narrative text panel.Color theme for description panel, text, and selection symbol, Custom CSS option to override the application stylesheet.Ranking Layer is the feature layer that containes the features which will be ranked.Ranking Field this is the attribute that the ranking will be based upon.Number of feature presented in the list.Rank Order can be ascending or descending. Use this to define your list based on lowest to highest values or highest to lowest values within the ranking field.Zoom level will control the level of detail at which the ranked features will be displayed.Use CasesCreate a top ten list of a key demographic phenomenon.Entice users to explore the world's deadliest volcanos through a listicle type experience.Create a simple tour of locations in your area based on the order of an attribute.Supported DevicesThis application is responsively designed to support use in browsers on desktops, mobile phones, and tablets.Data RequirementsIn order to rank features for display the specified feature service must support the supportsOrderBy property which is available if the service is version 10.1 or greater.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.

Geoform is a configurable app template for form based data editing of a Feature Service. This application allows users to enter data through a form instead of a map's pop-up while leveraging the power of the Web Map and editable Feature Services. This app geo-enables data and workflows by lowering the barrier of entry for completing simple tasks. Use CasesProvides a form-based experience for entering data through a form instead of a map pop-up. This is a good choice for users who find forms a more intuitive format than pop-ups for entering data.Useful to collect new point data from a large audience of non technical staff or members of the community.Configurable OptionsGeoform has an interactive builder used to configure the app in a step-by-step process. Use Geoform to collect new point data and configure it using the following options:Choose a web map and the editable layer(s) to be used for collection.Provide a title, logo image, and form instructions/details.Control and choose what attribute fields will be present in the form. Customize how they appear in the form, the order they appear in, and add hint text.Select from over 15 different layout themes.Choose the display field that will be used for sorting when viewing submitted entries.Enable offline support, social media sharing, default map extent, locate on load, and a basemap toggle button.Choose which locate methods are available in the form, including: current location, search, latitude and longitude, USNG coordinates, MGRS coordinates, and UTM coordinates.Supported DevicesThis application is responsively designed to support use in browsers on desktops, mobile phones, and tablets.Data RequirementsThis web app includes the capability to edit a hosted feature service or an ArcGIS Server feature service. Creating hosted feature services requires an ArcGIS Online organizational subscription or an ArcGIS Developer account. 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.

Snapshot img

Geomarketing Software Market Size 2024-2028

The geomarketing software market size is forecast to increase by USD 29.25 billion at a CAGR of 25.77% between 2023 and 2028.

The market is experiencing significant growth due to several key trends. The increasing adoption of technologically advanced mobile devices has led to a growth in location-based services, enabling businesses to reach customers more effectively. Big data and location-based analytics are also driving market growth, providing valuable insights for targeted marketing campaigns. However, privacy and security concerns surrounding the use of sensitive customer data pose a challenge for market players. As the market continues to evolve, companies must prioritize data protection and transparency to build trust with consumers. Overall, the market is poised for continued expansion as businesses seek to leverage location data to enhance customer engagement and drive growth.

What will be the Size of the Geomarketing Software Market During the Forecast Period?

Request Free Sample

The market is experiencing significant growth due to the increasing use of mobile devices and social networks. This trend is driving the adoption of location-based technology for regional, local, and micro-local geomarketing and nano marketing efforts. Digital marketing strategies are increasingly focusing on investment optimization for business success among local and internet customers, particularly among smartphone users. Additionally, the software enables campaign scheduling and personalization, enhancing the overall effectiveness of marketing efforts. Location-based technology plays a crucial role in this market condition, enabling sales increases through targeted marketing to mobile and social media users.

How is this Geomarketing Software Industry segmented and which is the largest segment?

The geomarketing software industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

Location

  Outdoor
  Indoor


Deployment

  Cloud-based
  On-premises


Geography

  North America

    US


  APAC

    China
    Japan


  Europe

    Germany
    UK


  Middle East and Africa



  South America

By Location Insights

The outdoor segment is estimated to witness significant growth during the forecast period.

Geomarketing software is a valuable tool for businesses seeking to understand and engage with their customers more effectively. This technology leverages mobile devices, social networks, and location-based technology to deliver targeted marketing campaigns to local, mobile, and internet customers. In the retail sector, software enables businesses to analyze customer behavior and shopping patterns through regional, local, and micro-local geomarketing. Nano marketing and investment optimization are additional benefits, allowing businesses to reach their target audience with personalized offers and relevant content. Geomarketing software also facilitates local search positioning, campaign scheduling, and data visualization, providing businesses with a competitive advantage In the digital marketing landscape.

By utilizing demographic and economic data, businesses can optimize their strategies for success, reaching smartphone users and social media users with targeted campaigns. Key features include personalized maps, heat maps, and satellite maps, enabling businesses to better understand foot traffic and catchment areas. Geomarketing software is an essential component of a comprehensive business strategy, helping to increase sales and improve customer engagement.

Get a glance at the market report of share of various segments Request Free Sample

The Outdoor segment was valued at USD 3.63 billion in 2018 and showed a gradual increase during the forecast period.

Regional Analysis

North America is estimated to contribute 39% to the growth of the global market during the forecast period.

Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

For more insights on the market size of various regions, Request Free Sample

The North American market is poised for steady expansion, driven by the widespread adoption of advanced technologies in sectors such as telecommunications, retail, healthcare, and media and entertainment In the US and Canada. The region's significant presence of location software providers is fueling the demand for customer management and engagement solutions, leading to increased adoption of software. In the US, marketers leverage mobile ads, display ads, and search ads to target local, internet, and mobile customers effectively. Features such as data visualization, map features, and campaign scheduling offer comp

Geospatial Solutions Market size was valued at USD 282.75 Billion in 2024 and is projected to reach USD 650.14 Billion by 2032, growing at a CAGR of 12.10% during the forecast period 2026-2032.Geospatial Solutions Market: Definition/ OverviewGeospatial solutions are applications and technologies that use spatial data to address geography, location, and Earth's surface problems. They use tools like GIS, remote sensing, GPS, satellite imagery analysis, and spatial modelling. These solutions enable informed decision-making, resource allocation optimization, asset management, environmental monitoring, infrastructure planning, and addressing challenges in sectors like urban planning, agriculture, transportation, disaster management, and natural resource management. They empower users to harness spatial information for better understanding and decision-making in various contexts.Geospatial solutions are technologies and methodologies used to analyze and visualize spatial data, ranging from urban planning to agriculture. They use GIS, remote sensing, and GNSS to gather, process, and interpret data. These solutions help users make informed decisions, solve complex problems, optimize resource allocation, and enhance situational awareness. They are crucial in addressing challenges and unlocking opportunities in today's interconnected world, such as mapping land use patterns, monitoring ecosystem changes, and real-time asset tracking.

The INTERPNT method can be used to produce accurate maps of trees based solely on tree diameter and tree-to-tree distance measurements. For additional details on the technique please see the published paper (Boose, E. R., E. F. Boose and A. L. Lezberg. 1998. A practical method for mapping trees using distance measurements. Ecology 79: 819-827). Additional information is contained in the documentation that accompanies the program. The Abstract from the paper is reproduced below. "Accurate maps of the locations of trees are useful for many ecological studies but are often difficult to obtain with traditional surveying methods because the trees hinder line of sight measurements. An alternative method, inspired by earlier work of F. Rohlf and J. Archie, is presented. This "Interpoint method" is based solely on tree diameter and tree-to-tree distance measurements. A computer performs the necessary triangulation and detects gross errors. The Interpoint method was used to map trees in seven long-term study plots at the Harvard Forest, ranging from 0.25 ha (200 trees) to 0.80 ha (889 trees). The question of accumulation of error was addressed though a computer simulation designed to model field conditions as closely as possible. The simulation showed that the technique is highly accurate and that errors accumulate quite slowly if measurements are made with reasonable care (e.g., average predicted location errors after 1,000 trees and after 10,000 trees were 9 cm and 15 cm, respectively, for measurement errors comparable to field conditions; similar values were obtained in an independent survey of one of the field plots). The technique requires only measuring tapes, a computer, and two or three field personnel. Previous field experience is not required. The Interpoint method is a good choice for mapping trees where a high level of accuracy is desired, especially where expensive surveying equipment and trained personnel are not available."

The Unpublished Digital Geologic Map of Great Smoky Mountains National Park and Vicinity, Tennessee and North Carolina is composed of GIS data layers and GIS tables in a 10.1 file geodatabase (grsm_geology.gdb), a 10.1 ArcMap (.MXD) map document (grsm_geology.mxd), individual 10.1 layer (.LYR) files for each GIS data layer, an ancillary map information (.PDF) document (grsm_geology.pdf) which contains source map unit descriptions, as well as other source map text, figures and tables, metadata in FGDC text (.TXT) and FAQ (.HTML) formats, and a GIS readme file (grsm_gis_readme.pdf). Please read the grsm_gis_readme.pdf for information pertaining to the proper extraction of the file geodatabase and other map files. To request GIS data in ESRI 10.1 shapefile format contact Stephanie O’Meara (stephanie.omeara@colostate.edu; see contact information below). The data is also available as a 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. Google Earth software is available for free at: http://www.google.com/earth/index.html. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: U.S. Geological Survey. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (grsm_metadata_faq.html; available at http://nrdata.nps.gov/geology/gri_data/gis/grsm/grsm_metadata_faq.html). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:100,000 and United States National Map Accuracy Standards features are within (horizontally) 50.8 meters or 166.7 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in Google Earth, ArcGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: http://science.nature.nps.gov/im/inventory/geology/GeologyGISDataModel.cfm). The GIS data projection is NAD83, UTM Zone 17N, however, for the KML/KMZ format the data is projected upon export to WGS84 Geographic, the native coordinate system used by Google Earth. The data is within the area of interest of Great Smoky Mountains National Park.

TanDEM-X Forest/Non-Forest (FNF) map(s) have been one such data focusing on the status of global forest coverage, which has played an essential role in combating climate change. Although the producers have carried out verification and comparison analyses, the need for accuracy assessments in a broader sense creates uncertainties for the users to approve the new data. For this purpose, TanDEM-X 50 m FNF maps were exclusively examined visually through 66,000 test grids within 30 geocells selected from temperate, boreal, and tropical forest zones. Thus, it was aimed to provide product accuracy utilizing visual inspections to the end users of TanDEM-X FNF maps. In addition, Collect Earth (CE) software was used to evaluate the dataset visually, and its advantages or disadvantages were compared with similarly designed studies. Consequently, even though the producers’ data sets were found to have an accuracy of around 85 percent, it was observed that there were some issues, especially in the definition of the “non-forest” class. CE software was found to be helpful in such studies. However, the dependence of the analyses on geo-browser supplied imagery had some limitations in estimating the accuracy of a new dataset.

The 2006 Second Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage for a single TIGER/Line file is a county or statistical equivalent entity, with the coverage area based on the latest available governmental unit boundaries. The Census TIGER database represents a seamless national file with no overlaps or gaps between parts. However, each county-based TIGER/Line file is designed to stand alone as an independent data set or the files can be combined to cover the whole Nation. The 2006 Second Edition TIGER/Line files consist of line segments representing physical features and governmental and statistical boundaries. The files contain information distributed over a series of record types for the spatial objects of a county. There are 19 record types, including the basic data record, the shape coordinate points, and geographic codes that can be used with appropriate software to prepare maps. Other geographic information contained in the files includes attributes such as feature identifiers/census feature class codes (CFCC) used to differentiate feature types, address ranges and ZIP Codes, codes for legal and statistical entities, latitude/longitude coordinates of linear and point features, landmark point features, area landmarks, and area boundaries. These data are a subset of a larger dataset published by the organization listed in the credits. Great Smoky Mountains National Park makes these data available in this form such that users can: effectively manipulate data for park mapping activities that do not require the acquisition of a large, nation-wide data set; alter symbology and rendering parameters natively; restrict analysis of geospatial data to an extent that coincides with the park footprint.The corresponding Integration of Resource Management Applications (IRMA) NPS Data Store reference is Great Smoky Mountains National Park County Boundaries.

Malaysia, particularly Pahang, experiences devastating floods annually, causing significant damage. The objective of the research was to create a flood susceptibility map for the designated area by employing an Ensemble Machine Learning (EML) algorithm based on geographic information system (GIS). By analyzing nine key factors from a geospatial database, flood susceptibility map was created with the ArcGIS software (ESRI ArcGIS Pro v3.0.1 x64). The Random Forest (RF) model was employed in this study to categorize the study area into distinct flood susceptibility classes. The Feature selection (FS) method was used to ranking the flood influencing factors. To validate the flood susceptibility models, standard statistical measures and the Area Under the Curve (AUC) were employed. The FS ranking demonstrated that the primary attributes to flooding in the study region are rainfall and elevation, with slope, geology, curvature, flow accumulation, flow direction, distance from the river, and land use/land cover (LULC) patterns ranking subsequently. The categories of ’very high’ and ’high’ class collectively made up 37.1% and 26.3% of the total area, respectively. The flood vulnerability assessment of Pahang found that the Eastern, Southern, and central regions were at high risk of flooding due to intense precipitation, low-lying topography with steep inclines, proximity to the shoreline and rivers, and abundant flooded vegetation, crops, urban areas, bare ground, and rangeland. Conversely, areas with dense tree canopies or forests were less susceptible to flooding in this research area. The ROC analysis demonstrated strong performance on the validation datasets, with an AUC value of >0.73 and accuracy scores exceeding 0.71. Research on flood susceptibility mapping can enhance risk reduction strategies and improve flood management in vulnerable areas. Technological advancements and expertise provide opportunities for more sophisticated methods, leading to better prepared and resilient communities.

Capacity Analysis is a configurable app template that allows users to visualize and compare two outputs of the CHIME model geoprocessing tool in side-by-side maps. This includes a chart visualizing the projected hospital beds, ICU beds, and ventilators needed to treat patients across the entire dataset for both models. Users can use the slider to explore and compare capacity overages between the two models for each variable on a day-by-day basis. They can also interact with individual features to see how the projection curves for each variable differ from one geography to the next for each model. View the 'Models and Maps Explore Covid-19 Surges and Capacity to Help Officials Prepare' blog post for more details on CHIME.Configurable OptionsThe app has several customization options including: Data: Specify a web map that contains the output of the CHIME Model then specify which layer should show up in the left pane and which in the right pane.Theme: Modify the background, panel colors and text colors used in the app. Text: The app title and description can be modified to suit your needs. Use Cases Add the results of the CHIME model to a web map then use the Capacity Analysis web app to communicate information publicly or internally for any of the following scenarios: A county wants to understand how the interventions may impact hospital resource availability within the county. You create a county polygon layer with fields that reflect possible scenarios regarding COVID-19 doubling time and social distancing. You run the CHIME Model tool using this data and use the Additional Outputs for Visualization parameters to add fields indicating bed capacity and web app fields to the output. Then display the published results in the Capacity analysis app so alternate intervention scenarios can be compared by decision makers. A hospital systems administrator needs to project the number of patients the hospitals in the network will need to accommodate in the next 90 days due to COVID-19, taking into account uncertainty in hospitalization patterns. You create a hospital point layer with fields that reflect the best and worst case scenarios regarding hospital stay length and the percentage of cases that result in hospitalization. You run the CHIME Model tool using the Additional Outputs for Visualization parameters to add fields indicating bed capacity and web app fields to the output. Then display the published results in the Capacity Analysis configurable app so management can compare best and worst case resource usage scenarios. Supported Devices This application is designed to support use in browsers or desktops and tablets. Data Requirements: This app requires a web map that contains the data output from the Chime Model geoprocessing tool. Get StartedThis application can be created in the following ways: Click the Create a Web App button on this pageClick the Download button to access the source code. Do this if you want to host the app on your own web server and optionally customize it to add features or change styling.