Tool and data set of road networks for 80 of the most populated urban areas in the world. The data consist of a graph edge list for each city and two corresponding GIS shapefiles (i.e., links and nodes).Make your own data with our ArcGIS, QGIS, and python tools available at: http://csun.uic.edu/codes/GISF2E.htmlPlease cite: Karduni,A., Kermanshah, A., and Derrible, S., 2016, "A protocol to convert spatial polyline data to network formats and applications to world urban road networks", Scientific Data, 3:160046, Available at http://www.nature.com/articles/sdata201646

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GIS In Telecom Sector Market Size 2025-2029

The GIS in telecom sector market size is valued to increase USD 2.35 billion, at a CAGR of 15.7% from 2024 to 2029. Increased use of GIS for capacity planning will drive the GIS in telecom sector market.

Major Market Trends & Insights

APAC dominated the market and accounted for a 28% growth during the forecast period.
By Product - Software segment was valued at USD 470.60 billion in 2023
By Deployment - On-premises segment accounted for the largest market revenue share in 2023

Market Size & Forecast

Market Opportunities: USD 256.91 million
Market Future Opportunities: USD 2350.30 million
CAGR from 2024 to 2029: 15.7%

Market Summary

The market is experiencing significant growth as communication companies increasingly adopt Geographic Information Systems (GIS) for network planning and optimization. Core technologies, such as satellite imagery and location-based services, are driving this trend, enabling telecom providers to improve network performance and customer experience. One major application of GIS in the telecom sector is capacity planning, which allows companies to optimize their network infrastructure based on real-time data.
However, the integration of GIS with big data and other advanced technologies presents a communication gap between developers and end-users, requiring a focus on user-friendly interfaces and training programs. Additionally, regulatory compliance and data security remain significant challenges for the market. Despite these hurdles, the opportunities for innovation and improved operational efficiency make the market an exciting and evolving space.

What will be the Size of the GIS In Telecom Sector Market during the forecast period?

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How is the GIS In Telecom Sector Market Segmented ?

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

Product

  Software
  Data
  Services


Deployment

  On-premises
  Cloud


Application

  Mapping
  Telematics and navigation
  Surveying
  Location based services


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    UK


  APAC

    China
    India
    Japan
    South Korea


  South America

    Brazil


  Rest of World (ROW)

By Product Insights

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

The global telecom sector's reliance on Geographic Information Systems (GIS) continues to expand, with the market for GIS in telecoms projected to grow significantly. According to recent industry reports, the market for GIS data visualization and spatial data infrastructure in telecoms has experienced a notable increase of 18.7% in the past year. Furthermore, the demand for advanced spatial analysis tools, such as building penetration analysis, geospatial asset management, and work order management systems, has risen by 21.3%. Telecom companies utilize GIS for network performance monitoring, data integration platforms, and network planning. For instance, GIS enables network design, radio frequency interference analysis, route optimization software, mobile network optimization, signal propagation modeling, and service area mapping.

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The Software segment was valued at USD 470.60 billion in 2019 and showed a gradual increase during the forecast period.

Additionally, it plays a crucial role in infrastructure management, location-based services, emergency response planning, maintenance scheduling, and telecom network design. Moreover, the adoption of 3D GIS modeling, LIDAR data processing, and customer location mapping has gained traction, contributing to the market's expansion. The future outlook is promising, with industry experts anticipating a 25.6% increase in the use of GIS for telecom network capacity planning and telecom outage prediction. These trends underscore the continuous evolution of the market and its applications across various sectors.

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Regional Analysis

APAC is estimated to contribute 28% 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.

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In China, the construction of smart cities in Qingdao, Hangzhou, and Xiamen, among others, is driving the demand for Geographic Information Systems (GIS) in various sectors. By 2025, China aims to build more smart cities, leading to significant growth opportunities for GIS companies. Esri Global Inc., a leading player

Network of 30 papers and 33 citation links related to "Learning Geospatial Analysis Skills with Consumer‐Grade GPS Receivers and Low Cost Spatial Analysis Software".

This data release has a workflow, data, and results of an analysis of the coverage, resolution, and representation of variables related to public interests in streamflow information by the USGS streamflow gaging network that was active in water year 2020. The workflow for the analysis is implemented as scripts and functions in the statistical programming language R. The spatial framework for the analysis is based on the enhanced National Hydrography Dataset (NHD) (medium resolution, 1:100,000 scale), 12-digit Hydrologic Unit Code (HUC12) watersheds from the Watershed Boundary Dataset, and sites where USGS operated a streamflow gage with a daily streamflow record for at least 182 days in Water Year 2020. Values of variables representing streamflow and material loads transported by river,(anthro-)physical controls on streamflow and loads, and administrative designations of rivers and land surface areas are calculated for incremental gaged areas and HUC12s. The geospatial data used in the analysis are publicly available from a variety of sources. Data not available on-line are included in this data release. The results for the USGS streamflow gaging network active in water year 2020 are provided in the compressed file: "USGS_WY20_Results.zip". Results include the values of variables calculated for incremental gaged areas (IGAs), which are drainage areas of each gage downstream of other gages, network metrics, and priority areas to maintain or add gages for each variable. Priority areas indicate where monitoring can maintain or improve network coverage, resolution, or representation of a variable. Priority areas are identified for the United States and major river basins (4-digit hydrologic unit codes) by applying standardized criteria to the cumulative distributions of each variable. The workflow can be run by downloading and uncompresssing file "NetworkAnalysis.zip" and sourcing the script "run_network_analysis.R" in the R application from the working directory "NetworkAnalysis". Details on the workflow are provided in the file "NetworkAnalysis/Workflow/workflow_description.txt". The workflow will automatically download the files "SpatialFrameworkInputs.zip" and "NationalData.zip" from this data release if they are not available in the "NetworkAnalysis" directory.

Network of 42 papers and 65 citation links related to "Geospatial Semantics".

Network of 27 papers and 43 citation links related to "Semantic building energy modeling: Analysis across geospatial scales".

This dataset provides detailed, structured records of telecommunications network topologies, including nodes (such as routers, switches, and data centers), their locations, and the connections between them with bandwidth capacities and operational statuses. It is ideal for infrastructure planning, network optimization, and reliability analysis in telecom environments.

HEPGIS is a web-based interactive geographic map server that allows users to navigate and view geo-spatial data, print maps, and obtain data on specific features using only a web browser. It includes geo-spatial data used for transportation planning. HEPGIS previously received ARRA funding for development of Economically distressed Area maps. It is also being used to demonstrate emerging trends to address MPO and statewide planning regulations/requirements , enhanced National Highway System, Primary Freight Networks, commodity flows and safety data . HEPGIS has been used to help implement MAP-21 regulations and will help implement the Grow America Act, particularly related to Ladder of Opportunities and MPO reforms.

The data and codes that support the findings of our study entitled "Detecting interchanges in road networks using a graph convolutional network approach"

Network of 42 papers and 72 citation links related to "Deforestation and child diet diversity: A geospatial analysis of 15 Sub-Saharan African countries".

The geodatabase contains 13 relate tables that together provide updated and synchronized classifications to an existing vegetation map layer for each of the nine park units in the Great Lakes Network (GLKN) of the National Park Service (NPS) Natural Resource Inventory and Monitoring Program. The classifications include 1) vegetation types at every hierarchical level in the 2015 version of the U.S. National Vegetation Classification (USNVC) and 2) map classes that represent vegetation and land cover in the vegetation map layers. Furthermore, the tables provide a crosswalk between the two classifications (vegetation and map). Each park unit in GLKN has received, at different times over several years, vegetation data products from the NPS Vegetation Mapping Inventory (VMI) Program. However, the vegetation and map classifications were at different stages of development over these years. With this geodatabase product, having a series of already linked relate tables, the original vegetation map layer for each park unit can be linked to the updated and synchronized classification information for both vegetation types and map classes.

Middle East Geospatial Analytics Market size was valued at USD 1.35 Billion in 2024 and is projected to reach USD 2.55 Billion by 2032, growing at a CAGR of 8.25% from 2026 to 2032.Key Market Drivers Government-Led Smart City Initiatives: The Middle East's ambitious transformation plans drive geospatial analytics market growth. The UAE Ministry of Infrastructure Development aims to have 60% of Dubai's infrastructure smart-enabled by 2025, necessitating extensive geospatial data analysis and mapping technologies to support urban planning, infrastructure development, and resource management.Critical Infrastructure Security and Resilience: Rising geopolitical tensions and the necessity for comprehensive national security policies drive up geospatial analytics investments in the Middle East. According to the Gulf Cooperation Council (GCC) Homeland Security Report 2023, countries are increasingly relying on advanced geospatial technologies to protect critical infrastructure, with an estimated 35% increase in geospatial intelligence investments aimed at strategic asset monitoring and risk mitigation.Rapid Urban Expansion and Resource Management: The Middle East's tremendous urban growth and complex environmental challenges present significant prospects for the geospatial analytics market expansion. According to the World Bank's 2024 regional report, urban populations in the Middle East are expected to increase by 55% by 2050, demanding advanced geospatial technologies for sustainable land use planning, water resource management, and climate adaptation methods.

This resource contains GIS layers necessary to reproduce the analysis of the paper "Stakeholder-Driven Design of a Flood Risk Streamflow Monitoring Network for Louisiana, USA" submitted to the Journal of American Water Resources Association (JAWRA). The analysis of this paper is focused on designing a streamflow gauge monitoring network as part of the Louisiana Watershed Initiative (LWI) program to enhance the hydrologic modeling and monitoring capabilities of the state of Louisiana. The monitoring network is optimized to capitalize on the resources made available by the LWI program while serving the needs of the local, regional, and federal stakeholders in Louisiana as much as possible. The factors taken into the optimization algorithm included the collected feedback from the stakeholders, as well as a variety of geospatial and geomorphic characteristics of the Louisiana stream network. The analysis also used the current and past conditions of stream monitoring (e.g., existing and discontinued USGS locations). A final set of 123 stream gauges were selected to be deployed. The shapefile containing this set of gauges is also included in this resource.

The Nordics Geospatial Analytics Market is Segmented by Type (Surface Analysis, Network Analysis, Visualization), End-User Vertical (Agriculture, Utility and Communication, Defense and Intelligence, Government, Mining and Natural Resources, Automotive and Transportation, Healthcare, Real Estate, and Construction). The Market Size and Forecasts are Provided in Terms of Value (USD) for all the Above Segments.

Features of different accessibility analysis methods.

The United States Geospatial Analytics Market is Segmented by Type (Surface Analysis, Network Analysis, Geovisualization), by End User Vertical ( Agriculture, Utility and Communication, Defense and Intelligence, Government, Mining and Natural Resources, Automotive and Transportation, Healthcare, Real Estate and Construction). The Market Sizes and Forecasts are Provided in Terms of Value (USD) for all the Above Segments.

This submission contains an ESRI map package (.mpk) with an embedded geodatabase for GIS resources used or derived in the Nevada Machine Learning project, meant to accompany the final report. The package includes layer descriptions, layer grouping, and symbology. Layer groups include: new/revised datasets (paleo-geothermal features, geochemistry, geophysics, heat flow, slip and dilation, potential structures, geothermal power plants, positive and negative test sites), machine learning model input grids, machine learning models (Artificial Neural Network (ANN), Extreme Learning Machine (ELM), Bayesian Neural Network (BNN), Principal Component Analysis (PCA/PCAk), Non-negative Matrix Factorization (NMF/NMFk) - supervised and unsupervised), original NV Play Fairway data and models, and NV cultural/reference data.

See layer descriptions for additional metadata. Smaller GIS resource packages (by category) can be found in the related datasets section of this submission. A submission linking the full codebase for generating machine learning output models is available through the "Related Datasets" link on this page, and contains results beyond the top picks present in this compilation.

This repository is the dataset of the related paper "Shortest Route Analysis of Dhaka City Roads Using Various GIS Techniques". The data presented here are collected and gathered together from several separate locations. All the probable original sources of the dataset are open-source or free to distribute licensed. The dataset has the following items: 1. Road network of Dhaka city. 2. Bus Route network of Dhaka city. 3. Future metro Route network of Dhaka city. 4. All the bus stands in Bangladesh. 5. All planned metro station in Dhaka city. 6. The output of some sample random two points shortest or cheapest path from the related paper.

Italy Geospatial Analytics Market size was valued at USD 309.12 Million in 2024 and is projected to reach USD 575.78 Million by 2032, growing at a CAGR of 8.09% during the forecast period from 2026-2032.

Italy Geospatial Analytics Market: Definition/Overview

Geospatial analytics is the process of gathering, manipulating, and visualizing geographic data from many sources such as GPS, satellite imagery, IoT devices, and social media. It uses georeferenced data to identify patterns, trends, and relationships between people, locations, and events. Urban planning, disaster management, transportation optimization, environmental monitoring, retail site selection, agricultural efficiency, and telecommunications network construction are some of the applications. Maps, graphs, and models are used to demonstrate these insights and help make informed decisions.

Discover the explosive growth of the Geospatial Data Analytics market, projected to reach [estimated 2033 market size] by 2033 with a CAGR of 12.81%. This comprehensive analysis explores key drivers, trends, and market segmentation, featuring leading companies like ESRI and Hexagon. Learn about regional market shares and future opportunities in this lucrative sector. Recent developments include: June 2023: Intermap Technologies leveraged its high-resolution elevation data access to perform imagery correction services for a national government organization to support the development projects in El Salvador and Honduras in Central America. In partnership with GeoSolutions, Intermap enables the creation of precision maps that are invaluable resources in supporting community safety and resiliency., March 2023: Mach9, the company building the fastest technologies for geospatial production, introduced its first product. The new product leverages computer vision and AI to produce faster 2D and 3D CAD and GIS engineering deliverables. This product launch comes amidst Mach9's pivot to a software-first business model, which is a move that is primarily driven by the rising demand for tools that accelerate geospatial data processing and analysis for infrastructure management.. Key drivers for this market are: Increase in Adoption of Smart City Development, Introduction of 5G to Boost Market Growth. Potential restraints include: Increase in Adoption of Smart City Development, Introduction of 5G to Boost Market Growth. Notable trends are: Defense and Intelligence to be the Largest End-user Industry.