The global GIS Consulting Service market is expected to reach 1637 million by 2023, growing at a CAGR of 15% during the forecast period. Geospatial data analytics, predictive modeling, and situational awareness are key drivers of the market growth. The rising adoption of GIS in various industries, such as transportation, agriculture, energy, and government, is contributing to the market's expansion. The market is segmented based on type, application, and region. By type, the market is divided into custom mapping services, GIS mapping software development, and others. The custom mapping services segment is expected to hold the largest share of the market due to the increasing demand for customized maps for specific purposes. By application, the market is segmented into transportation, agriculture, energy, and others. The transportation segment is expected to witness the highest growth rate due to the growing use of GIS in traffic management, route optimization, and logistics. By region, the market is divided into North America, South America, Europe, Middle East & Africa, and Asia Pacific. North America is expected to hold the largest share of the market due to the presence of key players and the early adoption of GIS technology. Asia Pacific is expected to experience the highest growth rate due to the increasing infrastructure development and urbanization in the region.

The Geographic Information System (GIS) Services market is experiencing robust growth, driven by increasing adoption across various sectors. While the provided data lacks specific market size figures, based on industry reports and observed trends in related technology sectors, we can estimate a 2025 market size of approximately $15 billion USD. This reflects the significant investments being made in spatial data infrastructure and the growing demand for location-based analytics. Assuming a Compound Annual Growth Rate (CAGR) of 8%, the market is projected to reach roughly $25 billion by 2033. Key drivers include the rising need for precise mapping and location intelligence in environmental management, urban planning, and resource optimization. Furthermore, advancements in cloud-based GIS platforms, the increasing availability of big data, and the development of sophisticated geospatial analytics tools are fueling market expansion. The market is segmented by service type (Analyze, Visualize, Manage, Others) and application (primarily Environmental Agencies, but also extending to various sectors such as utilities, transportation, and healthcare). North America currently holds a significant market share due to early adoption and advanced technological infrastructure. However, regions like Asia-Pacific are demonstrating rapid growth, driven by increasing urbanization and infrastructure development. While the lack of readily available detailed market figures presents a challenge for complete precision in projection, the overall trend points to a considerable expansion of the GIS services sector over the forecast period. The competitive landscape is characterized by a mix of large multinational corporations like Infosys and Intellias and smaller, specialized firms like EnviroScience and R&K Solutions, reflecting the diverse needs of the market. These companies compete based on their technological capabilities, industry expertise, and geographical reach. The ongoing integration of GIS with other technologies, such as artificial intelligence (AI) and machine learning (ML), will further shape the market landscape, creating opportunities for innovation and differentiation. Challenges include the high initial investment costs associated with implementing GIS solutions and the need for skilled professionals to effectively utilize these technologies. However, the long-term benefits of improved decision-making and operational efficiency are driving wider adoption despite these hurdles. The future growth of the GIS services market hinges on the continued development of innovative technologies and the increasing awareness of the value that location-based insights provide across various industries.

The geospatial analytics market size is predicted to rise from $93.49 billion in 2024 to $362.45 billion by 2035, growing at a CAGR of 13.1% from 2024 to 2035.

The global geospatial analytics market is predicted to expand significantly, with a projected CAGR of 11.28% from 2025 to 2033. Valued at 89.23 billion USD in 2025, the market is expected to reach new heights during the forecast period. Key drivers fueling this growth include increasing adoption of GIS (Geographic Information Systems) and GPS (Global Positioning Systems), rising demand for location-based services, and growing awareness of the benefits of geospatial data in decision-making. Additionally, advancements in cloud computing, artificial intelligence, and machine learning further contribute to the market's expansion. Key segments in the geospatial analytics market include services, types, technologies, and regions. Consulting, integration and deployment, support and maintenance are prominent services offered in the market. Surface and field analytics, network and location analytics, geovisualization, and other types are also significant segments. Remote sensing GIS GPS, other technologies, and their applications across various regions, including North America, Europe, Asia Pacific, Middle East & Africa, and South America, shape the market dynamics. Recent developments include: Sept 2022 Sanborn Map Company Inc., a provider of geospatial solutions for government and commercial clients, has acquired Applied Geographics, Inc., which helped numerous organisations in finding the most effective GIS, location intelligence, and geospatial solutions., January 2022 With the help of integrated and improved data, ideal site analysis and path planning, and customized customer experiences, Blueprint Technologies and Precisely have announced a partnership to help businesses gain a competitive edge., Geospatial analytics is being used by telecom companies like T-Mobile to optimise coverage and quality of service while planning deployments. While organising service deployments and coverage, telecommunications providers must consider a wide range of criteria. They must take into account the varying usage patterns, service demands, and the dynamic nature of the areas they serve., According to industry analysts, the abundance of geospatial data accessible is outpacing people's capacity to comprehend it as government and business deploy more satellites, drones, and sensors than ever before. Artificial intelligence, according to Mark Munsell, Deputy Director for Data and Digital Innovation at the National Geospatial-Intelligence Agency., Geospatial intelligence experts Orbital Insight and Carahsoft Technologies Corp. have joined forces. Carahsoft will act as Orbital Insight's Master Government Aggregator in accordance with the agreement. Through Carahsoft's reseller partners, Information Technology Enterprise Solutions - Software 2 (ITES-SW2), NASA Solutions for Enterprise-Wide Procurement (SEWP) V, National Association of State Procurement Officials (NASPO), ValuePoint, National Cooperative Purchasing Alliance (NCPA), and OMNIA Partners contracts, the company's AI-powered geospatial data analytics are now accessible to the public sector.. Potential restraints include: High Initial Investment Cost.

description: Building Footprints dataset current as of 2011. LAGIC is consulting with local parish GIS departments to create spatially accurate point and polygons data sets including the locations and building footprints of schools, churches, government buildings, law enforcement and emergency response offices, pha.; abstract: Building Footprints dataset current as of 2011. LAGIC is consulting with local parish GIS departments to create spatially accurate point and polygons data sets including the locations and building footprints of schools, churches, government buildings, law enforcement and emergency response offices, pha.

Grocery Stores dataset current as of 2011. LAGIC is consulting with local parish GIS departments to create spatially accurate point and polygons data sets including the locations and building footprints of schools, churches, government buildings, law enforcement and emergency response offices, pha.

The Geospatial Analytics Market estimated size and share is projected to exceed USD 88.01 billion by 2034, with a forecasted CAGR of 10.9% during the period.

description: Detention Centers dataset current as of 2011. LAGIC is consulting with local parish GIS departments to create spatially accurate point and polygons data sets including the locations and building footprints of schools, churches, government buildings, law enforcement and emergency response offices, pha.; abstract: Detention Centers dataset current as of 2011. LAGIC is consulting with local parish GIS departments to create spatially accurate point and polygons data sets including the locations and building footprints of schools, churches, government buildings, law enforcement and emergency response offices, pha.

Schools K-12 dataset current as of 2011. LAGIC is consulting with local parish GIS departments to create spatially accurate point and polygons data sets including the locations and building footprints of schools, churches, government buildings, law enforcement and emergency response offices, pha.

description: Fire Stations dataset current as of 2011. LAGIC is consulting with local parish GIS departments to create spatially accurate point and polygons data sets including the locations and building footprints of schools, churches, government buildings, law enforcement and emergency response offices, pha.; abstract: Fire Stations dataset current as of 2011. LAGIC is consulting with local parish GIS departments to create spatially accurate point and polygons data sets including the locations and building footprints of schools, churches, government buildings, law enforcement and emergency response offices, pha.

Libraries dataset current as of 2011. LAGIC is consulting with local parish GIS departments to create spatially accurate point and polygons data sets including the locations and building footprints of schools, churches, government buildings, law enforcement and emergency response offices, pha.

RTB Maps is a cloud-based electronic Atlas. We used ArGIS 10 for Desktop with Spatial Analysis Extension, ArcGIS 10 for Server on-premise, ArcGIS API for Javascript, IIS web services based on .NET, and ArcGIS Online combining data on the cloud with data and applications on our local server to develop an Atlas that brings together many of the map themes related to development of roots, tubers and banana crops. The Atlas is structured to allow our participating scientists to understand the distribution of the crops and observe the spatial distribution of many of the obstacles to production of these crops. The Atlas also includes an application to allow our partners to evaluate the importance of different factors when setting priorities for research and development. The application uses weighted overlay analysis within a multi-criteria decision analysis framework to rate the importance of factors when establishing geographic priorities for research and development.Datasets of crop distribution maps, agroecology maps, biotic and abiotic constraints to crop production, poverty maps and other demographic indicators are used as a key inputs to multi-objective criteria analysis.Further metadata/references can be found here: http://gisweb.ciat.cgiar.org/RTBmaps/DataAvailability_RTBMaps.htmlDISCLAIMER, ACKNOWLEDGMENTS AND PERMISSIONS:This service is provided by Roots, Tubers and Bananas CGIAR Research Program as a public service. Use of this service to retrieve information constitutes your awareness and agreement to the following conditions of use.This online resource displays GIS data and query tools subject to continuous updates and adjustments. The GIS data has been taken from various, mostly public, sources and is supplied in good faith.RTBMaps GIS Data Disclaimer• The data used to show the Base Maps is supplied by ESRI.• The data used to show the photos over the map is supplied by Flickr.• The data used to show the videos over the map is supplied by Youtube.• The population map is supplied to us by CIESIN, Columbia University and CIAT.• The Accessibility map is provided by Global Environment Monitoring Unit - Joint Research Centre of the European Commission. Accessibility maps are made for a specific purpose and they cannot be used as a generic dataset to represent "the accessibility" for a given study area.• Harvested area and yield for banana, cassava, potato, sweet potato and yam for the year 200, is provided by EarthSat (University of Minnesota’s Institute on the Environment-Global Landscapes initiative and McGill University’s Land Use and the Global Environment lab). Dataset from Monfreda C., Ramankutty N., and Foley J.A. 2008.• Agroecology dataset: global edapho-climatic zones for cassava based on mean growing season, temperature, number of dry season months, daily temperature range and seasonality. Dataset from CIAT (Carter et al. 1992)• Demography indicators: Total and Rural Population from Center for International Earth Science Information Network (CIESIN) and CIAT 2004.• The FGGD prevalence of stunting map is a global raster datalayer with a resolution of 5 arc-minutes. The percentage of stunted children under five years old is reported according to the lowest available sub-national administrative units: all pixels within the unit boundaries will have the same value. Data have been compiled by FAO from different sources: Demographic and Health Surveys (DHS), UNICEF MICS, WHO Global Database on Child Growth and Malnutrition, and national surveys. Data provided by FAO – GIS Unit 2007.• Poverty dataset: Global poverty headcount and absolute number of poor. Number of people living on less than $1.25 or $2.00 per day. Dataset from IFPRI and CIATTHE RTBMAPS GROUP MAKES NO WARRANTIES OR GUARANTEES, EITHER EXPRESSED OR IMPLIED AS TO THE COMPLETENESS, ACCURACY, OR CORRECTNESS OF THE DATA PORTRAYED IN THIS PRODUCT NOR ACCEPTS ANY LIABILITY, ARISING FROM ANY INCORRECT, INCOMPLETE OR MISLEADING INFORMATION CONTAINED THEREIN. ALL INFORMATION, DATA AND DATABASES ARE PROVIDED "AS IS" WITH NO WARRANTY, EXPRESSED OR IMPLIED, INCLUDING BUT NOT LIMITED TO, FITNESS FOR A PARTICULAR PURPOSE. By accessing this website and/or data contained within the databases, you hereby release the RTB group and CGCenters, its employees, agents, contractors, sponsors and suppliers from any and all responsibility and liability associated with its use. In no event shall the RTB Group or its officers or employees be liable for any damages arising in any way out of the use of the website, or use of the information contained in the databases herein including, but not limited to the RTBMaps online Atlas product.APPLICATION DEVELOPMENT:• Desktop and web development - Ernesto Giron E. (GeoSpatial Consultant) e.giron.e@gmail.com• GIS Analyst - Elizabeth Barona. (Independent Consultant) barona.elizabeth@gmail.comCollaborators:Glenn Hyman, Bernardo Creamer, Jesus David Hoyos, Diana Carolina Giraldo Soroush Parsa, Jagath Shanthalal, Herlin Rodolfo Espinosa, Carlos Navarro, Jorge Cardona and Beatriz Vanessa Herrera at CIAT, Tunrayo Alabi and Joseph Rusike from IITA, Guy Hareau, Reinhard Simon, Henry Juarez, Ulrich Kleinwechter, Greg Forbes, Adam Sparks from CIP, and David Brown and Charles Staver from Bioversity International.Please note these services may be unavailable at times due to maintenance work.Please feel free to contact us with any questions or problems you may be having with RTBMaps.

Dataset contains training material on using open source Geographic Information Systems (GIS) to improve protected area planning and management from a workshop that was conducted on August 17-21, 2020. Specifically, the dataset contains lectures on GIS fundamentals, QGIS 3.x, and global positioning system (GPS), as well as country-specific datasets and a workbook containing exercises for viewing data, editing/creating datasets, and creating map products in QGIS. Supplemental videos that narrate a step-by-step recap and overview of these processes are found in the Related Content section of this dataset.

Funding for this workshop and material was funded by the Biodiversity and Protected Areas Management (BIOPAMA) programme. The BIOPAMA programme is an initiative of the Organisation of African, Caribbean and Pacific (ACP) Group of States financed by the European Union's 11th European Development Fund. BIOPAMA is jointly implemented by the International Union for Conservation of Nature {IUCN) and the Joint Research Centre of the European Commission (EC-JRC). In the Pacific region, BIOPAMA is implemented by IUCN's Oceania Regional Office (IUCN ORO) in partnership with the Secretariat of the Pacific Regional Environment Programme (SPREP). The overall objective of the BIOPAMA programme is to contribute to improving the long-term conservation and sustainable use of biodiversity and natural resources in the Pacific ACP region in protected areas and surrounding communities through better use and monitoring of information and capacity development on management and governance.

The global Geological Remote Sensing Consultancy market is anticipated to experience substantial growth, reaching a market size of 1520 million by 2033, expanding at a CAGR of 14.9% from 2025 to 2033. The increasing demand for geological data for various applications, including geotechnical engineering, environmental and social assessments, and mineral resource exploration, is driving the market growth. Additionally, technological advancements in satellite imagery, aerial photography, and ground-based techniques enhance the accuracy and efficiency of geological data collection, further propelling the market expansion. Key market trends include the increasing integration of artificial intelligence (AI) and machine learning (ML) in geospatial data analysis, enabling faster and more accurate geological interpretations. The rising demand for sustainable mining practices and the need for geological data to assess environmental impacts are also bolstering market growth. The market is segmented by application, type, and region, with key players such as Geosense, SLR, and Maxar Technologies holding significant market shares. North America and Asia Pacific emerge as the largest markets, owing to the presence of major mining and exploration industries and stringent environmental regulations.

The professional map services market is experiencing robust growth, projected to reach $625.6 million in 2025 and exhibiting a Compound Annual Growth Rate (CAGR) of 7.0% from 2025 to 2033. This expansion is fueled by several key factors. The increasing adoption of location-based services across diverse sectors like utilities, construction, transportation, and government is a primary driver. Advanced mapping technologies, including AI-powered mapping and real-time data integration, are enhancing the accuracy and functionality of map services, leading to increased demand. Furthermore, the growing need for precise mapping data for infrastructure planning, urban development, and disaster management is significantly contributing to market growth. The market segmentation reveals a strong reliance on consulting and advisory services, alongside significant demand for deployment and integration, and ongoing support and maintenance. Competition is fierce, with established players like Google, TomTom, and Esri vying for market share alongside emerging innovative companies specializing in niche applications. Geographic expansion is also a key aspect, with North America and Europe currently holding significant market share, but Asia-Pacific exhibiting rapid growth potential driven by infrastructure development and increasing technological adoption. The market's future trajectory appears bright, anticipating continued growth driven by technological advancements and expanding application areas. The integration of Internet of Things (IoT) data into mapping solutions presents a substantial opportunity for market expansion. The increasing reliance on autonomous vehicles and drone technology will further fuel demand for highly accurate and detailed mapping data. However, challenges remain, including data security concerns and the need for robust data management infrastructure. The competitive landscape necessitates continuous innovation and strategic partnerships to secure market share and capitalize on emerging opportunities. The ongoing development of standardized mapping data formats and protocols will play a crucial role in facilitating market growth and interoperability.

This dataset helps to investigate the Spatial Accessibility to HIV Testing, Treatment, and Prevention Services in Illinois and Chicago, USA. The main components are: population data, healthcare data, GTFS feeds, and road network data. The core components are: 1) GTFS which contains GTFS (General Transit Feed Specification) data which is provided by Chicago Transit Authority (CTA) from Google's GTFS feeds. Documentation defines the format and structure of the files that comprise a GTFS dataset: https://developers.google.com/transit/gtfs/reference?csw=1. 2) HealthCare contains shapefiles describing HIV healthcare providers in Chicago and Illinois respectively. The services come from Locator.HIV.gov. 3) PopData contains population data for Chicago and Illinois respectively. Data come from The American Community Survey and AIDSVu. AIDSVu (https://map.aidsvu.org/map) provides data on PLWH in Chicago at the census tract level for the year 2017 and in the State of Illinois at the county level for the year 2016. The American Community Survey (ACS) provided the number of people aged 15 to 64 at the census tract level for the year 2017 and at the county level for the year 2016. The ACS provides annually updated information on demographic and socio economic characteristics of people and housing in the U.S. 4) RoadNetwork contains the road networks for Chicago and Illinois respectively from OpenStreetMap using the Python osmnx package. The abstract for our paper is: Accomplishing the goals outlined in “Ending the HIV (Human Immunodeficiency Virus) Epidemic: A Plan for America Initiative” will require properly estimating and increasing access to HIV testing, treatment, and prevention services. In this research, a computational spatial method for estimating access was applied to measure distance to services from all points of a city or state while considering the size of the population in need for services as well as both driving and public transportation. Specifically, this study employed the enhanced two-step floating catchment area (E2SFCA) method to measure spatial accessibility to HIV testing, treatment (i.e., Ryan White HIV/AIDS program), and prevention (i.e., Pre-Exposure Prophylaxis [PrEP]) services. The method considered the spatial location of MSM (Men Who have Sex with Men), PLWH (People Living with HIV), and the general adult population 15-64 depending on what HIV services the U.S. Centers for Disease Control (CDC) recommends for each group. The study delineated service- and population-specific accessibility maps, demonstrating the method’s utility by analyzing data corresponding to the city of Chicago and the state of Illinois. Findings indicated health disparities in the south and the northwest of Chicago and particular areas in Illinois, as well as unique health disparities for public transportation compared to driving. The methodology details and computer code are shared for use in research and public policy.

Market Overview The Google Maps Platform Consulting Service market is estimated to reach USD X.X million by 2033, exhibiting a CAGR of XX% during the forecast period (2025-2033). The market's growth is driven by the increasing adoption of mobile devices, the rise of location-based services, and the need for businesses to optimize their operations and customer experiences. Additionally, the growing popularity of geospatial analytics and the development of new technologies, such as artificial intelligence (AI) and augmented reality (AR), are contributing to market growth. Market Segmentation and Competitive Landscape The Google Maps Platform Consulting Service market can be segmented by type into online and offline services, and by application into large enterprises and SMEs. Key players in the market include Deloitte, Accenture, WPP, MapsPeople, Applied Geographics, Devoteam G Cloud, Dito, DoiT, Flexion, KOREM, Maven Wave Partners, Navagis, Onix Networking Canada, Searce, Tempus Nova, TRC Companies, and others. These companies offer a range of consulting services, including location intelligence, route optimization, and indoor mapping, to help businesses leverage the power of location data to improve decision-making, enhance customer engagement, and optimize operations.

description: Pharmacy Locations dataset current as of 2011. LAGIC is consulting with local parish GIS departments to create spatially accurate point and polygons data sets including the locations and building footprints of schools, churches, government buildings, law enforcement and emergency response offices, pha.; abstract: Pharmacy Locations dataset current as of 2011. LAGIC is consulting with local parish GIS departments to create spatially accurate point and polygons data sets including the locations and building footprints of schools, churches, government buildings, law enforcement and emergency response offices, pha.

This reference contains geospatial datasets (shapefiles) for the Siletz Bay NWR: Tidal Marsh Restoration and Reference Sites: Baseline Plant Community Monitoring and Mapping inventory performed by Green Point Consulting in 2001. During summer 2001, Green Point Consulting (GPC) conducted baseline monitoring and computerized (GIS) mapping of emergent wetland plant communities at USFWS tidal marsh restoration sites and matched reference sites in the Siletz and Nestucca estuaries. The monitoring work used a robust, quantitative protocol which allows comparison of results to tidal marsh monitoring activities elsewhere on the west coast. Plant community composition was measured, and results were used to map plant communities throughout the restoration and reference sites. The goals of the project were to assist USFWS in restoration planning, implementation, evaluation, and adaptive management; and to advance scientific understanding of west coast estuaries. Plant community classification and mapping also provides the basis for stratification of further sampling in future monitoring projects. This project's vegetation analysis and mapping modifies and adds detail to the estuary-wide mapping of Siletz tidal marsh completed by GPC for the Confederated Tribes of Siletz Indians in 2001. Products include GIS layers of plant communities and sampling locations; paper maps of plant communities; graphic displays of plant community composition; photodocumentation of transects; spreadsheets of quantitative data collected and analysis of that data; and this narrative report. This project was not designed to provide data for regulatory requirements (such as wetland fill-removal permits), but it's results may be useful as supplementary data in a regulatory context.