Market Overview:

The Vietnam geospatial analytics market size is projected to exhibit a growth rate (CAGR) of 8.90% during 2024-2032. The increasing product utilization by government authorities in various sectors, various technological advancements in satellite technology, remote sensing, and data collection methods, and the rising development of smart cities represent some of the key factors driving the market.

Geospatial analytics is a field of data analysis that focuses on the interpretation and analysis of geographic and spatial data to gain valuable insights and make informed decisions. It combines geographical information systems (GIS), advanced data analysis techniques, and visualization tools to analyze and interpret data with a spatial or geographic component. It also enables the collection, storage, analysis, and visualization of geospatial data. It provides tools and software for managing and manipulating spatial data, allowing users to create maps, perform spatial queries, and conduct spatial analysis. In addition, geospatial analytics often involves integrating geospatial data with other types of data, such as demographic data, environmental data, or economic data. This integration helps in gaining a more comprehensive understanding of complex phenomena. Moreover, geospatial analytics has a wide range of applications. For example, it can be used in urban planning to optimize transportation routes, in agriculture to manage crop yield and soil quality, in disaster management to assess and respond to natural disasters, in wildlife conservation to track animal migrations, and in business for location-based marketing and site selection.

Vietnam Geospatial Analytics Market Trends:

The Vietnamese government has recognized the importance of geospatial analytics in various sectors, including urban planning, agriculture, disaster management, and environmental monitoring. Initiatives to develop and utilize geospatial data for public projects and policy-making have spurred demand for geospatial analytics solutions. In addition, Vietnam is experiencing rapid urbanization and infrastructure development. Geospatial analytics is critical for effective urban planning, transportation management, and infrastructure optimization. This trend is driving the adoption of geospatial solutions in cities and regions across the country. Besides, Vietnam's agriculture sector is a significant driver of its economy. Geospatial analytics helps farmers and agricultural businesses optimize crop management, soil health, and resource allocation. Consequently, precision farming techniques, enabled by geospatial data, are becoming increasingly popular, which is also propelling the market. Moreover, the development of smart cities in Vietnam relies on geospatial analytics for various applications, such as traffic management, public safety, and energy efficiency. Geospatial data is central to building the infrastructure needed for smart city initiatives. Furthermore, advances in satellite technology, remote sensing, and data collection methods have made geospatial data more accessible and affordable. This has lowered barriers to entry and encouraged the use of geospatial analytics in various sectors. Additionally, the telecommunications sector in Vietnam is expanding, and location-based services, such as navigation and advertising, rely on geospatial analytics. This creates opportunities for geospatial data providers and analytics solutions in the telecommunications industry.

Vietnam Geospatial Analytics Market Segmentation:

IMARC Group provides an analysis of the key trends in each segment of the market, along with forecasts at the country level for 2024-2032. Our report has categorized the market based on component, type, technology, enterprise size, deployment mode, and vertical.

Component Insights:

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• Solution
• Services
  

The report has provided a detailed breakup and analysis of the market based on the component. This includes solution and services.

Type Insights:

• Surface and Field Analytics
• Network and Location Analytics
• Geovisualization
• Others
  

A detailed breakup and analysis of the market based on the type have also been provided in the report. This includes surface and field analytics, network and location analytics, geovisualization, and others.

Technology Insights:

• Remote Sensing
• GIS
• GPS
• Others
  

The report has provided a detailed breakup and analysis of the market based on the technology. This includes remote sensing, GIS, GPS, and others.

Enterprise Size Insights:

• Large Enterprises
• Small and Medium-sized Enterprises
  

A detailed breakup and analysis of the market based on the enterprise size have also been provided in the report. This includes large enterprises and small and medium-sized enterprises.

Deployment Mode Insights:

• On-premises
• Cloud-based
  

The report has provided a detailed breakup and analysis of the market based on the deployment mode. This includes on-premises and cloud-based.

Vertical Insights:

• Automotive
• Energy and Utilities
• Government
• Defense and Intelligence
• Smart Cities
• Insurance
• Natural Resources
• Others
  

A detailed breakup and analysis of the market based on the vertical have also been provided in the report. This includes automotive, energy and utilities, government, defense and intelligence, smart cities, insurance, natural resources, and others.

Regional Insights:

https://www.imarcgroup.com/CKEditor/bbfb54c8-5798-401f-ae74-02c90e137388other-regions6.webp" style="height:450px; width:800px" />

• Northern Vietnam
• Central Vietnam
• Southern Vietnam
  

The report has also provided a comprehensive analysis of all the major regional markets, which include Northern Vietnam, Central Vietnam, and Southern Vietnam.

Competitive Landscape:

The market research report has also provided a comprehensive analysis of the competitive landscape in the market. Competitive analysis such as market structure, key player positioning, top winning strategies, competitive dashboard, and company evaluation quadrant has been covered in the report. Also, detailed profiles of all major companies have been provided.

Vietnam Geospatial Analytics Market Report Coverage:

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.

Biogeoclimatic Ecosystem Classification (BEC) system is the ecosystem classification adopted in the forest management within British Columbia based on vegetation, soil, and climate characteristics whereas Site Series is the smallest unit of the system. The Ministry of Forests, Lands, Natural Resource Operations and Rural Development held under the Government of British Columbia (“the Ministry”) developed a web-based tool known as BEC Map for maintaining and sharing the information of the BEC system, but the Site Series information was not included in the tool due to its quantity and complexity. In order to allow users to explore and interact with the information, this project aimed to develop a web-based tool with high data quality and flexibility to users for the Site Series classes using the “Shiny” and “Leaflet” packages in R. The project started with data classification and pre-processing of the raster images and attribute tables through identification of client requirements, spatial database design and data cleaning. After data transformation was conducted, spatial relationships among these data were developed for code development. The code development included the setting-up of web map and interactive tools for facilitating user friendliness and flexibility. The codes were further tested and enhanced to meet the requirements of the Ministry. The web-based tool provided an efficient and effective platform to present the complicated Site Series features with the use of Web Mapping System (WMS) in map rendering. Four interactive tools were developed to allow users to examine and interact with the information. The study also found that the mode filter performed well in data preservation and noise minimization but suffered from long processing time and creation of tiny sliver polygons.

Have you ever wanted to create your own maps, or integrate and visualize spatial datasets to examine changes in trends between locations and over time? Follow along with these training tutorials on QGIS, an open source geographic information system (GIS) and learn key concepts, procedures and skills for performing common GIS tasks – such as creating maps, as well as joining, overlaying and visualizing spatial datasets. These tutorials are geared towards new GIS users. We’ll start with foundational concepts, and build towards more advanced topics throughout – demonstrating how with a few relatively easy steps you can get quite a lot out of GIS. You can then extend these skills to datasets of thematic relevance to you in addressing tasks faced in your day-to-day work.

Overview

Empower your location data visualizations with our edge-matched polygons, even in difficult geographies.

Our self-hosted GIS data cover administrative and postal divisions with up to 6 precision levels: a zip code layer and up to 5 administrative levels. All levels follow a seamless hierarchical structure with no gaps or overlaps.

The geospatial data shapes are offered in high-precision and visualization resolution and are easily customized on-premise.

Use cases for the Global Boundaries Database (GIS data, Geospatial data)

• In-depth spatial analysis

• Clustering

• Geofencing

• Reverse Geocoding

• Reporting and Business Intelligence (BI)

Product Features

• Coherence and precision at every level

• Edge-matched polygons

• High-precision shapes for spatial analysis

• Fast-loading polygons for reporting and BI

• Multi-language support

For additional insights, you can combine the GIS data with:

• Population data: Historical and future trends

• UNLOCODE and IATA codes

• Time zones and Daylight Saving Time (DST)

Data export methodology

Our geospatial data packages are offered in variable formats, including - .shp - .gpkg - .kml - .shp - .gpkg - .kml - .geojson

All GIS data are optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more.

Why companies choose our map data

• Precision at every level

• Coverage of difficult geographies

• No gaps, nor overlaps

Note: Custom geospatial data packages are available. Please submit a request via the above contact button for more details.

Understanding and effectively using visual representations is important to learning science, technology, engineering, and mathematics (STEM). Various techniques to visualize information, such as two- and three-dimensional graphs, diagrams, and models, not only expand our capacity to work with different types of information but also actively recruit our visual–spatial thinking. Data physicalization is emerging as a beginner-friendly approach to construct information visualization. Mapping intangible data onto tangible artifacts that possess visual, spatial, and physical properties demands an interplay of spatial thinking and hands-on manipulation. Much existing literature has explored using formatted infographics to aid learning and spatial thinking development. However, there is limited insight into how children may leverage their spatial thinking to create information visualizations, particularly tangible ones. This case study documented the data physicalization activities organized in two design classrooms of an international school in Netherlands, with 37 children aged 11–12. Seven themes relevant to spatial thinking were identified from multimodal evidence gathered from the data physicalization artifacts, classroom videos and recordings of children’s making process, and semi-structured interviews with children. Our findings suggested that these children generated various ideas to create visual–spatial forms for data with the materials at hand, such as mapping quantities to tangible materials of different sizes, using spatial ordinal arrangement, and unitizing materials to set visual parameters. Meanwhile, they evaluated and adjusted the visual–spatial properties of these materials according to the numerical data they had, crafting feasibility, and others’ spatial perspectives. What was particularly interesting in our findings was children’s iteration on their visual–spatial understandings of the intangible numerical values and the tangible materials throughout the embodied making processes. Overall, this study illustrated the different types of spatial thinking children applied to create their data physicalizations and offered insights into how embodied experiences accompanying the open-ended visualization challenge allowed children to explore and construct spatial understandings.

This site provides National level geospatial data within the open public domain that can be useful to support tribal community resiliency, research, and more. The data is available for download as CSV, KML, Shapefile, and accessible via web services to support application development and data visualization. This site contains data created and maintained by the Branch of Geospatial Support.

There are differences in spatial ability among people, and there are also differences in spatial ability among individuals in different situations (such as at different ages). The difference of spatial ability in people or individuals is caused by many reasons, influenced by many factors, and is the result of the interaction of many factors. The Revised Purdue Spatial Visualization Tests: Visualization of Rotations (Revised PSVT: R) is a spatial test frequently used to measure students’ spatial ability. The test results of 181 male and female Chinese university students in various disciplines were included in the assessment.

IDENA RESTful Tesselated Map Viewing Service (WMTS) showing:

— The orthophotos of Navarra 2012, 2014, 2017, 2018, winter 2019, 2020, 2021, 2022, 2023 and orthophoto of maximum currentity (all with 13 levels of scale). — True orthophoto of the Region of Pamplona 2020 (with 16 levels of scale). — Base map and Grey Base Map (with 18 scale levels). — Topographic map of Navarra 1:5.000 BTA. Reference year 2020 (with 18 scale levels). — Topographic map of Navarra 1:500 BTU. Reference year 2021 (with 16 scale levels).

WMTS is a standard service defined by the Open Geospatial Consortium (OGC), which is based on a tiles model with pyramid structure that pre-renders and fragments geographic data to a specific cell size for a given set of scales, with the aim of accelerating server response.

According to Cognitive Market Research, the global Geospatial Solutions market size is USD 508421.2million in 2024 and will expand at a compound annual growth rate (CAGR) of 16.50% from 2024 to 2031.

North America held the major market of more than 40% of the global revenue with a market size of USD 203368.48 million in 2024 and will grow at a compound annual growth rate (CAGR) of 14.7% from 2024 to 2031.
Europe accounted for a share of over 30% of the global market size of USD 152526.36 million.
Asia Pacific held the market of around 23% of the global revenue with a market size of USD 116936.88 million in 2024 and will grow at a compound annual growth rate (CAGR) of 18.5% from 2024 to 2031.
Latin America market of more than 5% of the global revenue with a market size of USD 25421.06 million in 2024 and will grow at a compound annual growth rate (CAGR) of 15.9% from 2024 to 2031.
Middle East and Africa held the major market of around 2% of the global revenue with a market size of USD 10168.42 million in 2024 and will grow at a compound annual growth rate (CAGR) of 16.2% from 2024 to 2031.
The hospitals held the highest Geospatial Solutions market revenue share in 2024.

Key Driver of the Geospatial Solutions Market

Growing Demand for Location-based Data and Insights to Increase the Demand Globally

Businesses and organizations prioritize making well-informed decisions, driving demand for location-based data and insights. Having accurate and comprehensive information about people, places, and things is becoming increasingly important. Geospatial solutions play a crucial role in gathering, evaluating, and presenting this data, which drives market growth. These technologies help with resource allocation, market targeting, and strategy planning by providing advanced tools for interpreting spatial data. Businesses use geospatial data to improve customer experiences, optimize operations, and gain competitive advantages due to the development of GPS, remote sensing, and GIS. Because of this, the geospatial industry is expanding rapidly and satisfying the changing demands of various industries looking for useful location-based insights.

Advancements in Technology to Propel Market Growth

The geospatial industry is expanding significantly due to technological advancements, including aerial images, remote sensing, GNSS (Global Navigation Satellite Systems), and LiDAR (Light Detection and Ranging). These developments provide ever-more accurate, affordable, and easily accessible ways to collect geospatial data. While GNSS offers precise global location data, remote sensing technologies allow data collection from inaccessible or remote areas. LiDAR and aerial images improve data resolution and detail, allowing for more complex analysis and visualization. The geospatial market is growing due to the ongoing development of these technologies, which enables businesses and organizations in various industries to make wise decisions, maximize operations, and seize new possibilities.

Restraints factor of the Geospatial Solutions Market

Data Privacy and Security Concerns to Limit the Sales

The widespread use of geographical data gives rise to serious privacy and security problems. The increasing accessibility and utilization of location-based data across many businesses underscores the need for strong data governance frameworks to preserve individuals' privacy and prevent potential compromises of sensitive data. Furthermore, upholding moral principles and legal compliance depends on gaining users' trust via open data policies and permission procedures. Companies may promote the responsible and ethical use of location-based information by addressing these concerns and fostering better stakeholder confidence. Additionally, companies should limit risks connected with gathering, sharing, and utilizing geospatial data.

Impact of COVID-19 on the Geospatial Solutions Market

The geospatial solutions market has experienced varying effects from the COVID-19 epidemic. Due to supply chain disruptions and economic uncertainty, several industries faced a brief pause. Still, others saw faster development as a result of the pressing need for location-based data to solve pandemic-related issues. Geospatial technologies are increasingly used in industries, including healthcare, logistics, and urban planning, to track the virus's spread, allocate resourc...

Aurora:GeoStudio® is a cutting-edge geospatial analysis platform that excels in supporting Point of Interest (POI) data, providing detailed and comprehensive information about specific locations or landmarks. POI data includes essential details such as the name, address, coordinates, and category of locations, ranging from restaurants and hotels to parks and tourist attractions. This data is vital for enhancing mapping and navigation applications, making it easier for users to find relevant and nearby points of interest.

Core Features:

  1.    Known Polygon Search (KPS) via OpenStreetMap®:
  •    Aurora:GeoStudio® integrates with OpenStreetMap® to offer Known Polygon Search functionality. This feature enables users to accurately identify and retrieve POI data within defined areas of interest. OpenStreetMap® provides a vast and up-to-date database of POIs, ensuring comprehensive coverage and accurate information.
  2.    Automatic Gridding and Area Analytics:
  •    The platform includes automatic gridding within areas of interest, facilitating detailed Area Usage and Area Visit analytics. This functionality divides the area into manageable grids, allowing users to analyze POI data effectively. The automated process supports the visualization of POI density, visitation patterns, and the impact of various factors on POI popularity and usage.
  3.    POI Data Visualization:
  •    Aurora:GeoStudio® offers advanced visualization capabilities, displaying POI data on customizable maps from providers like Google, Esri, Open, and Stamen. This visualization helps users understand the spatial distribution of POIs and their relationships within an area, aiding in effective decision-making and strategic planning.

Applications:

  1.    Urban Planning:
  •    Urban planners can use POI data to understand the distribution of amenities and services within a city. This information helps in planning new developments, optimizing resource allocation, and ensuring that essential services are accessible to residents. By analyzing POI data, planners can create more livable and well-serviced urban areas.
  2.    Infrastructure Management:
  •    POI data is invaluable for managing infrastructure projects, including the placement of utilities, public transportation, and commercial services. Understanding the location and category of POIs allows for better planning and coordination of infrastructure improvements and expansions.
  3.    Spatial Analysis:
  •    Researchers and analysts can leverage POI data to conduct spatial analyses, such as identifying gaps in service provision, studying the impact of new developments, and evaluating the effectiveness of urban policies. Detailed POI data supports robust analysis and actionable insights.
  4.    Area Usage and Visit Analytics:
  •    Aurora:GeoStudio® enables users to track and analyze area usage and visit patterns related to POIs. This is particularly useful for businesses looking to optimize their location strategies, urban developers aiming to enhance public spaces, and government agencies seeking to improve service accessibility and urban experiences.

Aurora:GeoStudio® provides exceptional support for Point of Interest (POI) data, making it a powerful tool for urban planning, infrastructure management, and spatial analysis. By integrating Known Polygon Search via OpenStreetMap® and incorporating automatic gridding and detailed area analytics, the platform offers valuable insights into POI usage and spatial relationships. This capability enhances decision-making processes, supports efficient resource management, and facilitates the development of vibrant and well-planned urban environments. Aurora:GeoStudio®’s advanced features empower users to gain a comprehensive understanding of urban dynamics and optimize their strategic initiatives.

The Risk Prevention Plans (RPPs) were established by the Law of 2 February 1995 on the strengthening of environmental protection. They are the essential tool of the State in the field of risk prevention. Their objective is to control the development in areas exposed to a major risk.The PPRs are approved by the prefects and generally carried out by the departmental directorates of the territories (DDT). These plans regulate land use or its use through construction bans or requirements on existing or future buildings (constructive provisions, vulnerability reduction work, restrictions on use or agricultural practices...). These plans may be under development (prescribed), applied in advance or approved.The PPR file contains a presentation note, a regulatory zoning plan and a regulation. Other graphical documents that are useful for understanding the approach (alases, challenges, etc.) can be attached. Each PPR is identified by a polygon that corresponds to the set of municipalities concerned in the limitation perimeter when it is in the prescribed state; and the envelope of restricted zones when it is in the approved state. This geographical table makes it possible to map existing PPRNs on the department. The Risk Prevention Plans (RPPs) were established by the Law of 2 February 1995 on the strengthening of environmental protection. They are the essential tool of the State in the field of risk prevention. Their objective is to control the development in areas exposed to a major risk.The PPRs are approved by the prefects and generally carried out by the departmental directorates of the territories (DDT). These plans regulate land use or its use through construction bans or requirements on existing or future buildings (constructive provisions, vulnerability reduction work, restrictions on use or agricultural practices...). These plans may be under development (prescribed), applied in advance or approved.The PPR file contains a presentation note, a regulatory zoning plan and a regulation. Other graphical documents that are useful for understanding the approach (alases, challenges, etc.) can be attached. Each PPR is identified by a polygon that corresponds to the set of municipalities concerned in the limitation perimeter when it is in the prescribed state; and the envelope of restricted zones when it is in the approved state. This geographical table makes it possible to map existing PPRNs on the department. The Risk Prevention Plans (RPPs) were established by the Law of 2 February 1995 on the strengthening of environmental protection. They are the essential tool of the State in the field of risk prevention. Their objective is to control the development in areas exposed to a major risk.The PPRs are approved by the prefects and generally carried out by the departmental directorates of the territories (DDT). These plans regulate land use or its use through construction bans or requirements on existing or future buildings (constructive provisions, vulnerability reduction work, restrictions on use or agricultural practices...). These plans may be under development (prescribed), applied in advance or approved.The PPR file contains a presentation note, a regulatory zoning plan and a regulation. Other graphical documents that are useful for understanding the approach (alases, challenges, etc.) can be attached. Each PPR is identified by a polygon that corresponds to the set of municipalities concerned in the limitation perimeter when it is in the prescribed state; and the envelope of restricted zones when it is in the approved state. This geographical table makes it possible to map existing PPRNs on the department. The Risk Prevention Plans (RPPs) were established by the Law of 2 February 1995 on the strengthening of environmental protection. They are the essential tool of the State in the field of risk prevention. Their objective is to control the development in areas exposed to a major risk.The PPRs are approved by the prefects and generally carried out by the departmental directorates of the territories (DDT). These plans regulate land use or its use through construction bans or requirements on existing or future buildings (constructive provisions, vulnerability reduction work, restrictions on use or agricultural practices...). These plans may be under development (prescribed), applied in advance or approved.The PPR file contains a presentation note, a regulatory zoning plan and a regulation. Other graphical documents that are useful for understanding the approach (alases, challenges, etc.) can be attached. Each PPR is identified by a polygon that corresponds to the set of municipalities concerned in the limitation perimeter when it is in the prescribed state; and the envelope of restricted zones when it is in the approved state. This geographical table makes it possible to map existing PPRNs on the department.

NOTICE: Geocube has been replaced by EDX Spatial, a modern geospatial platform to map, visualize, query and explore spatial data. Online web mapping tool for visualization and simple analysis of Earth-energy data files from public and DOE related sources. Geocube allows users to upload and visualize their own datasets but also comes preloaded with individual spatial datasets as well as spatial data collections that align to topical themes.

The NSF-funded DIBBS project, Geospatial Data Analysis Building Blocks, focuses on geospatial data management, analysis, modeling and visualization. This flyer describes the highlights of the project as of December 2015, and provides the project URL and other relevant information.

Geospatial data can provide valuable visualization and analytical abilities to Facility and Resource Managers in regards to maintained landscapes throughout the NPS. Maintained landscapes are records in the Facility Management Software System (FMSS) and can include battlefields, ornamental gardens, picnic areas, and other types. To map a maintained area and the features within it at the enterprise level, a geospatial data service is needed to ensure consistency, accuracy, and thorough documentation of data lineage. The Maintained Landscape Spatial Data Service will structure maintained landscape data into a common format that will enable GIS data to be easily integrated, traced, analyzed and shared across the park. Such a structure will increase users’ ability to discern the quality and accuracy of the data enabling the user to make better data driven decisions. This schema is designed to match the structure and hierarchy of FMSS so that should this system become spatially enabled this data could be utilized. Within the FMSS database, features are organized in locations records and assets records. A location record could be thought of as a bin, within which component assets records are stored. Park Facilities Management Division(PFMD) Employees of the National Park Service are tasked with managing facilities such as roads, trails, buildings, and landscapes. To properly manage these assets PFMD must make management decisions based on spatial and non-spatial data. This service allows the accurate geographic representation of maintained landscapes in a common service-wide schema. Furthermore, the establishment of a maintained landscapes spatial data service will allow for the integration of several NPS managed databases. These include (but are not limited to) the Facilities Management Software System (FMSS), the Cultural Resources Enterprise Geographic Information System (CRGIS), the Cultural Landscapes Inventory (CLI), and the List of Classified Structures (LCS). The Cultural Resource Enterprise GIS dataset contains the cultural landscapes inventory spatial data, list of classified structures spatial data, National Register spatial data and links to all of these databases, as well as other partner programs

Node of the Institute of Statistics and Cartography of Andalusia. Regional Government of Andalusia. WFS Population Mesh Service. Integrated in the Spatial Data Infrastructure of Andalusia following the guidelines of the Statistical and Cartographic System of Andalusia. WFS map service of spatial distribution of the population of Andalusia in cells of 250m x 250m. The information represented in these maps has been georeferenced from the location of the postal address where each of the inhabitants of Andalusia resides. To facilitate the representation of the information and to preserve statistical confidentiality, a regular mesh has been drawn with cells of 250 meters on the side, where all the information that corresponds in each case has been added. Information that could not be georeferenced, has been estimated using spatial analysis techniques. On December 23, 2019, the data of members, pensioners, job seekers referred to the population of Andalusia corresponding to January 1, 2018 were updated. In addition, this year the information is incorporated relating to the time spent in the municipality of residence. The website of the Institute of Statistics and Cartography of Andalusia offers a visualization service: "Spatial distribution of the population of Andalusia" for interactive consultation https://www.juntadeandalucia.es/institutodeestadisticaycartografia/distributionpob/index.htm

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GIS In Telecom Sector Market Size 2024-2028

The GIS in telecom sector market size is forecast to increase by USD 1.91 billion at a CAGR of 14.68% between 2023 and 2028.

Geographic Information Systems (GIS) have gained significant traction In the telecom sector due to the increasing adoption of advanced technologies such as big data, sensors, drones, and LiDAR. The use of GIS enables telecom companies to effectively manage and analyze large volumes of digital data, including satellite and GPS information, to optimize infrastructure monitoring and antenna placement. In the context of smart cities, GIS plays a crucial role in enabling efficient communication between developers and end-users by providing real-time data on construction progress and infrastructure status. Moreover, the integration of LiDAR technology with drones offers enhanced capabilities for surveying and mapping telecom infrastructure, leading to improved accuracy and efficiency.
However, the implementation of GIS In the telecom sector also presents challenges, including data security concerns and the need for servers and computers to handle the large volumes of data generated by these technologies. In summary, the telecom sector's growing reliance on digital technologies such as GIS, big data, sensors, drones, and LiDAR is driving market growth, while the need for effective data management and security solutions presents challenges that must be addressed.

What will be the Size of the GIS In Telecom Sector Market During the Forecast Period?

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The Geographic Information System (GIS) market In the telecom sector is experiencing significant growth due to the increasing demand for electronic information and visual representation of data in various industries. This market encompasses a range of hardware and software solutions, including GNSS/GPS antennas, Lidar, GIS collectors, total stations, imaging sensors, and more. Major industries such as agriculture, oil & gas, architecture, and infrastructure monitoring are leveraging GIS technology for data analysis and decision-making. The adoption rate of GIS In the telecom sector is driven by the need for efficient data management and analysis, as well as the integration of real-time data from various sources.
Data formats and sources vary widely, from satellite and aerial imagery to ground-based sensors and IoT devices. The market is also witnessing innovation from startups and established players, leading to advancements in data processing capabilities and integration with other technologies like 5G networks and AI. Applications of GIS In the telecom sector include smart urban planning, smart utilities, and smart public works, among others.

How is this GIS In Telecom Sector Industry segmented and which is the largest segment?

The GIS in telecom sector 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.

Product

  Software
  Data
  Services


Deployment

  On-premises
  Cloud


Geography

  APAC

    China


  North America

    Canada
    US


  Europe

    UK
    Italy


  South America



  Middle East and Africa

By Product Insights

The software segment is estimated to witness significant growth during the forecast period. The telecom sector's Global GIS market encompasses software solutions for desktops, mobiles, cloud, and servers, along with developers' platforms. companies provide industry-specific GIS software, expanding the growth potential of this segment. Telecom companies heavily utilize intelligent maps generated by GIS for informed decisions on capacity planning and enhancements, such as improved service and next-generation networks. This drives significant growth In the software segment. Commercial entities offer open-source GIS software to counteract the threat of counterfeit products.
GIS technologies are integral to telecom network management, spatial data analysis, infrastructure planning, location-based services, network coverage mapping, data visualization, asset management, real-time network monitoring, design, wireless network mapping, integration, maintenance, optimization, and geospatial intelligence. Key applications include 5G network planning, network visualization, outage management, geolocation, mobile network optimization, and smart infrastructure planning. The GIS industry caters to major industries, including agriculture, oil & gas, architecture, engineering, construction, mining, utilities, retail, healthcare, government, and smart city planning. GIS solutions facilitate real-time data management, spatial information, and non-spatial information, offering enterprise solutions and transportation applications.

Get a glance at the market report of share of variou

This paper evaluates cognitively plausible geovisualization techniques for mapping movement data. With the widespread increase in the availability and quality of space-time data capturing movement trajectories of individuals, meaningful representations are needed to properly visualize and communicate trajectory data and complex movement patterns using geographic displays. Many visualization and visual analytics approaches have been proposed to map movement trajectories (e.g. space-time paths, animations, trajectory lines, etc.). However, little is known about how effective these complex visualizations are in capturing important aspects of movement data. Given the complexity of movement data which involves space, time, and context dimensions, it is essential to evaluate the communicative efficiency and efficacy of various visualization forms in helping people understand movement data. This study assesses the effectiveness of static and dynamic movement displays as well as visual variables in communicating movement parameters along trajectories, such as speed and direction. To do so, a web-based survey is conducted to evaluate the understanding of movement visualizations by a non-specialist audience. This and future studies contribute fundamental insights into the cognition of movement visualizations and inspire new methods for the empirical evaluation of geovisualizations.

Travel regions are not necessarily defined by political or administrative boundaries. For example, in the Schengen region of Europe, tourists can travel freely across borders irrespective of national borders. Identifying transboundary travel regions is an interesting problem which we aim to solve using mobility analysis of Twitter users. Our proposed solution comprises collecting geotagged tweets, combining them into trajectories and, thus, mining thousands of trips undertaken by twitter users. After aggregating these trips into a mobility graph, we apply a community detection algorithm to find coherent regions throughout the world. The discovered regions provide insights into international travel and can reveal both domestic and transnational travel regions.

This case study includes multiple workflows, visualizing global countries' COVID-19 cases as dynamic maps, such as HTML, GIF, and MP4.