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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.

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A lease is a legal document executed between a mineral owner and a company or individual that conveys the right to explore, develop and produce hydrocarbons and/or other products for a specified period of time over a given area. The source and official record are LAS case files available at http://dnr.alaska.gov/projects/las/. The lease case files available in this dataset were queried by case type specific to the division of oil and gas. The codes used to query records contained in this dataset follow and descriptions are available from the Division of Oil and Gas. Case Type Code: 783 - Oil & Gas Lease Non- Competitive, 784 - Oil & Gas Lease Competitive, 785 - Oil & Gas Transferred Federal Lease, 788 - Shoreland Preference Right Lease, 789 - Oil and Gas Shallow Natural Gas Lease, 790 - Oil and Gas Storage Lease.

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.

BestPlace is an innovative retail data and analytics tool created explicitly for medium and enterprise-level CPG/FMCG companies. It's designed to revolutionize your retail data analysis approach by adding a strategic location-based perspective to your existing database. This perspective enriches your data landscape and allows your business to understand better and cater to shopping behavior. An In-Depth Approach to Retail Analytics Unlike conventional analytics tools, BestPlace delves deep into each store location details, providing a comprehensive analysis of your retail database. We leverage unique tools and methodologies to extract, analyze, and compile data. Our processes have been accurately designed to provide a holistic view of your business, equipping you with the information you need to make data-driven data-backed decisions. Amplifying Your Database with BestPlace At BestPlace, we understand the importance of a robust and informative retail database design. We don't just add new stores to your database; we enrich each store with vital characteristics and factors. These enhancements come from open cartographic sources such as Google Maps and our proprietary GIS database, all carefully collected and curated by our experienced data analysts. Store Features We enrich your retail database with an array of store features, which include but are not limited to: Number of reviews Average ratings Operational hours Categories relevant to each point Our attention to detail ensures your retail database becomes a powerful tool for understanding customer interactions and preferences. Geo-Analytical Factors Each store in your database is further enhanced with geo-analytical data. We analyze: Maximum pedestrian and vehicle traffic within a defined radius Number of households and average income within the catchment area vicinity Number of schools, hospitals, universities, competitors, stores, bars, clubs, and restaurants in the surrounding area Point attendance based on mobile device location data (ensuring GDPR compliance) Our refined retail data collection and analysis provides detailed shopping behavior insights, leading to in-depth shopper analytics and retail foot traffic data that support strategic planning and execution. The Power of Points of Interest (POI) Data At BestPlace, we harness the power of Point of Interest (POI) data (to bring you the most complete retail data set.) to bring your retail data to life. Our POI data collection process involves analyzing and categorizing foot traffic data, providing a comprehensive foot traffic dataset as a result. This data allows you to understand the ebb and flow of individuals around your store locations, suggesting invaluable insights for strategic planning and operational efficiency. Leveraging GIS Data Our GIS data collection process is meticulous and comprehensive. We tap into multiple GIS data sources, providing a wealth of data to enhance your retail analytics. This process allows us to equip your database with a broad range of geospatial features, including demographic and socioeconomic information from various census data for GIS applications. By including GIS data in your analysis, you gain a multi-dimensional perspective of your retail landscape, allowing for more strategic decision-making. The Advantages of Census Data BestPlace grants you direct access to a wealth of census data sets. This transforms your retail database into a more potent tool for decision-making, providing a deeper understanding of the demographics and socioeconomic factors surrounding your store locations. With the ability to download census data directly, you can enrich your retail data analysis with valuable insights about potential customers, giving you the upper hand in your strategic planning. Extensive Use Cases BestPlace's capabilities stretch across various applications, offering value in areas such as: Competition Analysis: Identify your competitors, analyze their performance, and understand your standing in the market with our extensive POI database and retail data analytics capabilities. New Location Search: Use our rich retail store database to identify ideal locations for store expansions based on foot traffic data, proximity to key points, and potential customer demographics. Location Comparison: Compare multiple store locations based on numerous factors and make informed decisions about where to focus your resources. Distribution Optimization: Leverage our FMCG data analytics and retail traffic analytics to optimize your distribution strategy and maximize ROI. Building Machine Learning Models: Integrate our all-purpose machine learning models into your business decision processes to enable more efficient and effective decision-making. (Integrate our all-purpose machine learning models to build your own in-house solutions with the help of our data.) Comprehensive Deliverables As a BestPlace client, you receive a comprehensive produc...

Partners: This competition is supported by the following programmes: BIOPAMA, OFESA & GMES & Africa. The institution represented are IUCN, CIFOR, UNEP-WCMC, Esri, EU-JRC and RCMRDAward Prizes:The applicable entries can be anything relating to Environmental and Biodiversity Conservation Efforts that seeks to protect or create awareness to our Natural Resources. Entries along these topics are eligible: Forestry, Protected Areas, National Parks, Conserved Areas, Plants, Species, Wildlife, Fisheries, Wetlands, Marine, Coastal Information, Blue Economy etc. Below are the award prizes in the various categories:School Category (Per School Award)Primary School (Euros 2,000)High School (Euros 2,000)Professional Category (Individual Award)Land Theme (Euros 2,000)Marine Theme (Euros 2,000)Overall Winner (Euros 4,000)The winner will be voted by people based on the 3 best entries of the four sub categories mentioned above as identified by the Judges.All the winners will receive a 1-year Esri ArcGIS for Personal use license and Certificate from RCMRD.

The size and share of the market is categorized based on Type (Cloud Services, Client, Desktop) and Application (Smart Campus, Emergency Command, Smart Security, Smart Building) and geographical regions (North America, Europe, Asia-Pacific, South America, and Middle-East and Africa).

The Transportation Alternatives Program (TAP) was authorized by the Moving Ahead for Progress in the 21st Century Act (MAP-21) in 2012 and has been continued by the Fixing America’s Surface Transportation (FAST) Act, through federal fiscal year 2020. Eligible project activities for TAP funding include a variety of smaller-scale transportation projects such as pedestrian and bicycle facilities, recreational trails, safe routes to school projects, and community improvements such as historic preservation, vegetation management, and some environmental mitigation related to storm water and habitat connectivity. Detailed information about Iowa’s TAP program may be found in the Iowa TAP Program Guidance. Additional information may be found in the program implementation guidance provided by the FHWA.

Iowa’s TAP program can be accessed in several ways. Statewide and multi-regional projects should apply directly to the Iowa DOT by October 1 annually for consideration in the Statewide TAP program. Access to smaller, local projects is dependent on geographic location and Iowa DOT endeavors to award projects based largely on geographic equity and local/regional priorities. Iowa’s small Metropolitan Planning Organizations and Regional Planning Affiliations will conduct an initial review of applications submitted for the competitive Local Projects TAP program administered by Iowa DOT. The large Metropolitan Planning Organizations (pop. greater than 200,000) will solicit and select project for TAP funding according to a process they determine. The map below will provide application submittal deadlines based on the project location.

The market size of the GIS Controller Market is categorized based on Type (Hardware, Software, Service) and Application (Transportation, Telecommunication, Agriculture, Construction, Mining, Oil & Gas, Government, Others) and geographical regions (North America, Europe, Asia-Pacific, South America, and Middle-East and Africa).

This report provides insights into the market size and forecasts the value of the market, expressed in USD million, across these defined segments.

Oil and Gas Lease contains spatial and tabular data potraying Competitive and Non-Competitive Oil and Gas Leases, and Oil and Gas Storage Leases issued by the Alaska Department of Natural Resources.

This spatial data set characterizes the geographic representation of land parcels within the State of Alaska contained by the Oil and Gas Lease category. It has been extracted from data sets used to produce the State status plats. This data set includes cases noted on the digital status plats up to one day prior to data extraction.

Each feature has an associated attribute record, including a Land Administration System (LAS) file-type and file-number which serves as an index to related LAS case-file information. Additional LAS case-file and customer information may be obtained at: http://dev.dnr.alaska.gov/projects/las/ Those requiring more information regarding State land records should contact the Alaska Department of Natural Resources Public Information Center directly.

The size and share of the market is categorized based on Type (Hardware, Software) and Application (Oil And Gas, The Construction Of, Mining, Transport, Public Utilities, Other) and geographical regions (North America, Europe, Asia-Pacific, South America, and Middle-East and Africa).

Revitalization Areas identify those portions of Loudoun County, specifically the entire Suburban Policy Area & a portion of the Leesburg Joint Land Management Area, where residential developers can receive tax credit funding for proposed apartment projects. They also gain additional points in the Virginia Housing Development Authority's (VDHA) Low Income Housing Tax Credit (LIHTC) competitive tax credit scoring system.In the LIHTC competition, with application review based on a point system, an application can receive 15 points for its location in a designated revitalization area. These 15 points may make the difference in winning the LIHTC in the competitive application process leading to the development of an affordable rental project.

StoryMap Competition Terms and Conditions 2024

Permit or Lease - Land Estate includes a variety of competitive and non-competitive permits, leases, and authorizations issued by the Alaska Department of Natural Resources. This shape file characterizes the geographic representation of land parcels within the State of Alaska contained by the Land Estate - Permit or Lease category. It has been extracted from data sets used to produce the State status plats. This data set includes cases noted on the digital status plats up to one day prior to data extraction. Each feature has an associated attribute record, including a Land Administration System (LAS) file-type and file-number which serves as an index to related LAS case-file information. Additional LAS case-file and customer information may be obtained at: http://www.dnr.state.ak.us/las/LASMenu.cfm Those requiring more information regarding State land records should contact the Alaska Department of Natural Resources Public Information Center directly.

The government limits competition for certain contracts to businesses in historically underutilized business zones. It also gives preferential consideration to those businesses in full and open competition.Joining the HUBZone program makes your business eligible to compete for the program’s set-aside contracts. HUBZone-certified businesses also get a 10% price evaluation preference in full and open contract competitions.HUBZone-certified businesses can still compete for contract awards under other socio-economic programs they qualify for.Requirements:Be a small business according to SBA size standardsBe at least 51% owned and controlled by U.S. citizens, a Community Development Corporation, an agricultural cooperative, an Alaska Native corporation, a Native Hawaiian organization, or an Indian tribeHave its principal office located in a HUBZoneHave at least 35% of its employees living in a HUBZone

Permit or Lease - Land Estate includes a variety of competitive and non-competitive permits, leases, and authorizations issued by the Alaska Department of Natural Resources. This shape file characterizes the geographic representation of land parcels within the State of Alaska contained by the Land Estate - Permit or Lease category. It has been extracted from data sets used to produce the State status plats. This data set includes cases noted on the digital status plats up to one day prior to data extraction. Each feature has an associated attribute record, including a Land Administration System (LAS) file-type and file-number which serves as an index to related LAS case-file information. Additional LAS case-file and customer information may be obtained at: http://www.dnr.state.ak.us/las/LASMenu.cfm Those requiring more information regarding State land records should contact the Alaska Department of Natural Resources Public Information Center directly.

O tamanho do mercado do mercado de software de mapeamento de GIS é categorizado com base no tipo (hardware, software, serviços) e aplicação (governo e utilitários, negócios) e regiões geográficas (América do Norte, Europa, Ásia-Pacífico, América do Sul e Oriente Médio e Africa).

La dimensione del mercato del GIS nel mercato dei trasporti è classificata in base al tipo di tipo (software, servizi, dati) e applicazione (strada, ferrovia) e regioni geografiche (Nord America, Europa, Asia-Pacifico, Sud America e Medio Oriente e Africa).

Questo rapporto fornisce approfondimenti sulle dimensioni del mercato e le forze del mercato, espresso in questione di USD, attraverso i segmenti definiti.

This data publication includes tree measurements taken 2008-2010 in three mixed conifer forests: the Pinaleno Mountains and Santa Catalina Mountains in southeastern Arizona, and the Jemez Mountains (Valles Caldera National Preserve) in northern New Mexico. Tree data measured at all locations include: species, condition, diameter at breast height and maximum vertical height. Additional data available include: effective energy and mass transfer (EEMT) and specific gravity (wood density) of woody species. Another data set, for the Pinaleno Mountains, is included in this publication. The data were collected as part of the RMRS Growth and Demography of the Pinaleno High Elevation Forests research project and the Critical Zone Observatory aerial lidar forest structure validation. The data include diameter at breast height, maximum vertical height, condition and species information; and laboratory-determined cross-dated tree establishment dates, age at collection, computed total biomass, and plot-level Effective Energy and Mass Transfer (EEMT) for each tree. Both of these data sets support Swetnam et al. 2016.This record was taken from the USDA Enterprise Data Inventory that feeds into the https://data.gov catalog. Data for this record includes the following resources: ISO-19139 metadata ArcGIS Hub Dataset ArcGIS GeoService For complete information, please visit https://data.gov.

The size and share of the market is categorized based on Type (Three-phase Common Box Type, Box Type) and Application (UHV DC Converter Station, UHV AC Substation) and geographical regions (North America, Europe, Asia-Pacific, South America, and Middle-East and Africa).

The global Urban Planning Software market is experiencing robust growth, with a market size of $8.87 billion in 2025 and a projected Compound Annual Growth Rate (CAGR) of 7.81% from 2025 to 2033. This expansion is driven by several key factors. Increasing urbanization globally necessitates efficient and sustainable urban planning, fueling demand for sophisticated software solutions. Government initiatives promoting smart city development and infrastructure modernization are further boosting market adoption. The integration of advanced technologies like Artificial Intelligence (AI), Machine Learning (ML), and Geographic Information Systems (GIS) within urban planning software enhances its capabilities, leading to improved decision-making and resource allocation. Furthermore, the growing adoption of cloud-based solutions offers scalability and accessibility, contributing to market growth. While the market faces challenges such as high initial investment costs and the need for skilled professionals to operate these complex systems, the long-term benefits of improved urban planning and resource management outweigh these limitations. The market is segmented by deployment (cloud-based and web-based), end-user (government, real estate, and infrastructure companies), and geography, with North America currently holding a significant market share due to early adoption and technological advancements. However, regions like APAC are witnessing rapid growth, driven by substantial infrastructure development projects and increasing government investments. The competitive landscape is characterized by a mix of established players and innovative startups, fostering innovation and competition. The continued growth of the Urban Planning Software market is expected to be fueled by several factors. The rising adoption of Building Information Modeling (BIM) for improved collaboration and design efficiency within urban projects will be a major driver. Furthermore, the growing need for data-driven insights for better urban planning and sustainable development strategies will further bolster the market. Increased focus on environmental sustainability and climate change mitigation will also drive demand for software capable of integrating environmental impact assessments into urban planning. The market's expansion will also be influenced by the increasing adoption of mobile-based solutions, providing greater accessibility and flexibility for urban planners. Competition among vendors will intensify, pushing innovation and driving the development of more sophisticated and user-friendly software solutions, ensuring continuous growth in the coming years. Specific regional growth patterns are expected to be influenced by factors such as economic conditions, government policies, and technological maturity levels in different areas.