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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

Existing communication ducts and structures within the City of Maple Ridge.

This polygon shapefile is a representation of the coverage area for 2G mobile communications networks around the world in 2012. The data is created from submissions made directly to Collins Bartholomew or the GSMA from mobile operators, which provide roaming detail for inclusion in the online mapping application known as Collins Mobile Coverage Web. Polygons representing the network coverage have been split into country areas using the country polygons from the Collins World Explorer vector product. Polygons are supplied as multipart, and include any country ISO or FIPS codes where known. The data is supplied with a nominal resolution of approximately 1km on the ground.This map can be used to locate and analyze mobile communications coverage on a global scale.Read More

The dataset is a spatial representation of communications conduit infrastructure forming part of the communications network carrying data, voice, and video communications around the City

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What is the GIS In Utility Industry Market Size?

The GIS market in the utility industry size is forecast to increase by USD 3.55 billion at a CAGR of 19.8% between 2023 and 2028. Market expansion hinges on various factors, such as the rising adoption of Geographic Information System (GIS) solutions in the utility sector, the convergence of GIS with Building Information Modeling, and the fusion of Augmented Reality with GIS technology. These elements collectively drive market growth, reflecting advancements in spatial data analytics and technological convergence. The increased adoption of GIS solutions in the utility industry underscores the importance of geospatial data in optimizing infrastructure management. Simultaneously, the integration of GIS with BIM signifies the synergy between spatial and building information for enhanced project planning and management. Additionally, the integration of AR with GIS technology highlights the potential for interactive and interactive visualization experiences in spatial data analysis. Thus, the interplay of these factors delineates the landscape for the anticipated expansion of the market catering to GIS and related technologies.

What will be the size of Market during the forecast period?

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Market Segmentation

The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' 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


Geography

  North America

    Canada
    US


  Europe

    Germany
    France


  APAC

    China
    India
    Japan


  Middle East and Africa



  South America

    Brazil

Which is the largest segment driving market growth?

The software segment is estimated to witness significant growth during the forecast period. In the utility industry, the spatial context of geographic information systems (GIS) plays a pivotal role in site selection, land acquisition, planning, designing, visualizing, building, and project management. Utilities, including electricity, gas, water, and telecommunications providers, leverage GIS software to efficiently manage their assets and infrastructure. This technology enables the collection, management, analysis, and visualization of geospatial data, derived from satellite imaging, aerial photography, remote sensors, and artificial intelligence. Geospatial AI, sensor technology, and digital reality solutions are integral components of GIS, enhancing capabilities for smart city planning, urban planning, water management, mapping systems, grid modernization, transportation, and green buildings.

Get a glance at the market share of various regions. Download the PDF Sample

The software segment was valued at USD 541.50 million in 2018. Moreover, the geospatial industry continues to evolve, with startups and software solutions driving innovation in hardware, smart city planning, land use management, smart infrastructure planning, and smart utilities. GIS solutions facilitate 4D visualization, enabling stakeholders to overcome geospatial data barriers and make informed decisions. The utility industry's reliance on GIS extends to building information modeling, augmented reality, and smart urban planning, ultimately contributing to the growth of the geospatial technology market.

Which region is leading the market?

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North America is estimated to contribute 37% 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.

How do company ranking index and market positioning come to your aid?

Companies are implementing various strategies, such as strategic alliances, partnerships, mergers and acquisitions, geographical expansion, and product/service launches, to enhance their presence in the market.

AABSyS IT Pvt. Ltd. - The company offers GIS solutions such as remote sensing and computer aided design and drafting solutions for electric and gas utility.

Technavio provides the ranking index for the top 20 companies along with insights on the market positioning of:

AABSyS IT Pvt. Ltd.
Autodesk Inc.
Avineon Inc.
Bentley Systems Inc.
Blue Marble Geographics
Cadcorp Ltd.
Caliper Corp.
Environmental Systems Research Institute Inc.
General Electric Co.
Hexagon AB
Mapbox Inc.
Maxar Technologies Inc.
Mobile GIS Services Ltd.
NV5 Global Inc.
Orbital Insight Inc.
Pitney Bowes Inc.
Schneider Electric SE
SuperMap Software Co. Ltd.
Trimble Inc.
VertiGIS Ltd.

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How can Technavio assist you in ma

The dataset is a spatial representation of communications pits forming part of the communications network carrying data, voice, and video communications around the City

As directed by the New Hampshire legislature, the Office of Strategic Initiatives is maintaining this database of wireless communication towers in order to ensure the orderly development of a wireless communications network statewide.

NYSDOT designated State Bike Routes. Latest data as of 05-30-19. Currently there are 21 routes. Used in a map showing NYSDOT designated bike routes used in the State Bike Route Viewer application. Published from ArcGIS Pro as a Map Image Layer.

Terms of Use: You are welcome to access this New York State (NYS) web service and its content as long as you abide by these Terms of Use, which constitute a contract between you and the State. Using content from this NYS web service constitutes your agreement and acceptance of these terms. If you do not agree to be bound by all of these Terms of Use, do not access or use this content. As a condition of your use of this NYS web service and its content, you warrant to the State that you will not use this web service or its content for purposes that are unlawful or prohibited by these Terms of Use. NYS strives to provide content that is accurate and current, but you understand and agree that your use of the content from this web service is at your own risk. Human or mechanical error, disruptions in service, or failure of communications networks, mechanical or electronic equipment could cause inaccurate information to be posted. As such, the State does not assume legal liability or responsibility for the accuracy, timeliness, completeness, or quality of the content provided through this web service and makes no warranty, express or implied, including the warranties of merchantability and fitness for a particular purpose, nor represents that use of the content would not infringe privately owned rights. The State also does not vouch for the continued accuracy or currency of content after it has been downloaded, nor the quality or accuracy of any analyses or re-uses of that content. By accessing or using this web service and its content, you represent and warrant that your activities are lawful in every jurisdiction where you access or use the web service. You agree to defend, indemnify and hold harmless the State, its officers, directors, employees and agents from and against any and all claims, liabilities, damages, losses or expenses, including reasonable attorneys’ fees and costs, arising out of or in any way connected with your access to or use of this web service and its content, in reference to any claim however caused and on any theory of legal liability, whether in contract, strict liability, or tort, including negligence.

The geospatial market is estimated to reach a value of USD 105.06 billion by 2033, growing at a CAGR of 9.1% during the forecast period of 2025-2033. This growth is attributed to the rising demand for geospatial data and services across various end-user industries, such as real estate and construction, automotive, utility and communication, government, defense and intelligence, and natural resources. Key drivers of the market include the increasing adoption of location-based services, the growing use of geospatial data for decision-making, and the rapid advancements in geospatial technologies. The market is segmented by type (surface analytics, network analytics, geovisualization, and others), technology (remote sensing, GPS, GIS, and others), and end-user (real estate and construction, automotive, utility and communication, government, defense and intelligence, natural resources, and others). North America is the largest regional market, followed by Europe, Asia Pacific, and the Middle East and Africa. Key companies in the geospatial market include Hexagon AB, Trimble Inc., Maxar Technologies, MDA Corporation, Fugro, Cyient, Esri, Bentley Systems, Incorporated, NV5 Global Inc., General Electric Company, Accenture, and RMSI. Recent developments include: In February 2023, U.S. Army has extended its contract with Maxar Technologies to provide 3D geospatial data used to create immersive digital environments. Maxar was awarded Phase 3b of the U.S. Army’s One World Terrain (OWT) contract originally awarded in 2019 to Vricon, a company Maxar acquired in 2020. Vricon uses data from Maxar’s imaging satellites to make 3D mapping products. In September 2023, Trimble and Kyivstar Partner to Provide GNSS Correction Services for Agriculture, Construction and Geospatial Applications in Ukraine. It will install a new Continuously Operating Reference Station (CORS) network to provide Global Navigation Satellite System (GNSS) correction services across the country. Available to users as an annual subscription service, the new network will be built using Trimble's hardware and software positioning technology, which provides customers with easy and reliable high-accuracy real time or post-processed GNSS corrections data for agriculture, construction, geospatial, Internet of Things (IoT) and other commercial operations. . Key drivers for this market are: Growing demand for accurate and actionable geospatial data

Advancements in cloud computing and AI technologies

Increasing adoption of location-based services and IoT devices

Need for sustainable resource management and environmental monitoring

Government initiatives and investments in geospatial infrastructure. Potential restraints include: Data privacy and security concerns

Lack of skilled workforce and technical expertise

High cost of implementing and maintaining geospatial solutions

Interoperability issues between different geospatial platforms

Limited awareness of the benefits of geospatial technologies. Notable trends are: The integration of AI and IOT fuels Integration of blockchain technology for data security and transparency

Development of open-source geospatial platforms and applications

Use of AI and machine learning for predictive analytics and automation

Focus on interconnected and interoperable geospatial ecosystems

Growing adoption of geospatial solutions in emerging marketsmarket expansion is expected to drive market growth..

State-owned mobile relay sites for the Cal OES Fire and Rescue Mutual Aid Coordination Network (FIRENET) mountain top repeaters - microwave circuit.The Cal OES Fire and Rescue (F&R) Branch Radio Communications System is known as OES FIRE Net. OES FIRE Net is designed and equipped to provide effective emergency communications in support of fire and rescue mutual aid operations and assumes a number of responsibilities. Consistent with the intent and provisions of the State Fire Service and Rescue Emergency Mutual Aid Plan, Cal OES assumes responsibility for providing a communications network connecting all 6 mutual aid regions, the 58 operational areas, other appropriate state agencies and Cal OES centralized communications facilities. In addition, Cal OES provides radio communications capability in its fleet of emergency apparatus and specialized mobile communications equipment to facilitate on-scene coordination of multi-agency resources at major emergencies. This system is comprised of the FIREMARS VHF & 800MHz network.An efficient communications system is the most vital support element to the effective mobilization and coordination of the mutual aid response organization operating throughout the state – an area up to 200 miles wide and 700 miles in length. As such Cal OES F&R Branch established the FIRE NET Microwave Intertie System and the FIREMARS VHF & 800MHz Repeater System.

Terms of Use: You are welcome to freely download and use this NYS Department of Transportation web service and its content as long as you abide by these Terms of Use, which constitute a contract between you and the State. Using content from this NYS Department of Transportation web service constitutes your agreement and acceptance of these terms. If you do not agree to be bound by all of these Terms of Use, do not access or use this content. As a condition of your use of this NYS Department of Transportation web service and its content, you warrant to the State that you will not use this web service or its content for purposes that are unlawful or prohibited by these Terms of Use. The NYS Department of Transportation strives to provide content that is accurate and current, but you understand and agree that your use of the content from this web service is at your own risk. Human or mechanical error, disruptions in service, or failure of communications networks, mechanical or electronic equipment could cause inaccurate information to be posted. As such, the State does not assume legal liability or responsibility for the accuracy, timeliness, completeness, or quality of the content provided through this web service and makes no warranty, express or implied, including the warranties of merchantability and fitness for a particular purpose, nor represents that use of the content would not infringe privately owned rights. The State also does not vouch for the continued accuracy or currency of content after it has been downloaded, nor the quality or accuracy of any analyses or re-uses of that content. By accessing or using this NYS Department of Transportation web service and its content, you represent and warrant that your activities are lawful in every jurisdiction where you access or use the web service. You agree to defend, indemnify and hold harmless the State, its officers, directors, employees and agents from and against any and all claims, liabilities, damages, losses or expenses, including reasonable attorneys’ fees and costs, arising out of or in any way connected with your access to or use of this web service and its content, in reference to any claim however caused and on any theory of legal liability, whether in contract, strict liability, or tort, including negligence.

MPO Boundaries, DOT Residencies, DOT Regions, FHWA Urban Areas DataTerms of Use: You are welcome to access this New York State (NYS) web service and its content as long as you abide by these Terms of Use, which constitute a contract between you and the State. Using content from this NYS web service constitutes your agreement and acceptance of these term s. If you do not agree to be bound by all of these Terms of Use, do not access or use this content. As a condition of your use of this NYS web service and its content, you warrant to the State that you will not use this web service or its content for purposes that are unlawful or prohibited by these Terms of Use. NYS strives to provide content that is accurate and current, but you understand and agree that your use of the content from this web service is at your own risk. Human or mechanical error, disruptions in service, or failure of communications networks, mechanical or electronic equipment could cause inaccurate information to be posted. As such, the State does not assume legal liability or responsibility for the accuracy, timeliness, completeness, or quality of the content provided through this web service and makes no warranty, express or implied, including the warranties of merchantability and fitness for a particular purpose, nor represents that use of the content would not infringe privately owned rights. The State also does not vouch for the continued accuracy or currency of content after it has been downloaded, nor the quality or accuracy of any analyses or re-uses of that content. By accessing or using this web service and its content, you represent and warrant that your activities are lawful in every jurisdiction where you access or use the web service. You agree to defend, indemnify and hold harmless the State, its officers, directors, employees and agents from and against any and all claims, liabilities, damages, losses or expenses, including reasonable attorneys’ fees and costs, arising out of or in any way connected with your access to or use of this web service and its content, in reference to any claim however caused and on any theory of legal liability, whether in contract, strict liability, or tort, including negligence.

Data Owner: NYSDOT, Highway Data Services BureauHDSB@dot.ny.gov(518) 457-1965Terms of Use: You are welcome to access this New York State (NYS) web service and its content as long as you abide by these Terms of Use, which constitute a contract between you and the State. Using content from this NYS web service constitutes your agreement and acceptance of these terms. If you do not agree to be bound by all of these Terms of Use, do not access or use this content. As a condition of your use of this NYS web service and its content, you warrant to the State that you will not use this web service or its content for purposes that are unlawful or prohibited by these Terms of Use. NYS strives to provide content that is accurate and current, but you understand and agree that your use of the content from this web service is at your own risk. Human or mechanical error, disruptions in service, or failure of communications networks, mechanical or electronic equipment could cause inaccurate information to be posted. As such, the State does not assume legal liability or responsibility for the accuracy, timeliness, completeness, or quality of the content provided through this web service and makes no warranty, express or implied, including the warranties of merchantability and fitness for a particular purpose, nor represents that use of the content would not infringe privately owned rights. The State also does not vouch for the continued accuracy or currency of content after it has been downloaded, nor the quality or accuracy of any analyses or re-uses of that content. By accessing or using this web service and its content, you represent and warrant that your activities are lawful in every jurisdiction where you access or use the web service. You agree to defend, indemnify and hold harmless the State, its officers, directors, employees and agents from and against any and all claims, liabilities, damages, losses or expenses, including reasonable attorneys’ fees and costs, arising out of or in any way connected with your access to or use of this web service and its content, in reference to any claim however caused and on any theory of legal liability, whether in contract, strict liability, or tort, including negligence...

Terms of Use: You are welcome to freely download and use this NYS Department of Transportation web service and its content as long as you abide by these Terms of Use, which constitute a contract between you and the State. Using content from this NYS Department of Transportation web service constitutes your agreement and acceptance of these terms. If you do not agree to be bound by all of these Terms of Use, do not access or use this content. As a condition of your use of this NYS Department of Transportation web service and its content, you warrant to the State that you will not use this web service or its content for purposes that are unlawful or prohibited by these Terms of Use. The NYS Department of Transportation strives to provide content that is accurate and current, but you understand and agree that your use of the content from this web service is at your own risk. Human or mechanical error, disruptions in service, or failure of communications networks, mechanical or electronic equipment could cause inaccurate information to be posted. As such, the State does not assume legal liability or responsibility for the accuracy, timeliness, completeness, or quality of the content provided through this web service and makes no warranty, express or implied, including the warranties of merchantability and fitness for a particular purpose, nor represents that use of the content would not infringe privately owned rights. The State also does not vouch for the continued accuracy or currency of content after it has been downloaded, nor the quality or accuracy of any analyses or re-uses of that content. By accessing or using this NYS Department of Transportation web service and its content, you represent and warrant that your activities are lawful in every jurisdiction where you access or use the web service. You agree to defend, indemnify and hold harmless the State, its officers, directors, employees and agents from and against any and all claims, liabilities, damages, losses or expenses, including reasonable attorneys’ fees and costs, arising out of or in any way connected with your access to or use of this web service and its content, in reference to any claim however caused and on any theory of legal liability, whether in contract, strict liability, or tort, including negligence.

The GIS-based Time model of Gothenburg aims to map the process of urban development in Gothenburg since 1960 and in particular to document the changes in the spatial form of the city - streets, buildings and plots - through time. Major steps have in recent decades been taken when it comes to understanding how cities work. Essential is the change from understanding cities as locations to understanding them as flows (Batty 2013)1. In principle this means that we need to understand locations (or places) as defined by flows (or different forms of traffic), rather than locations only served by flows. This implies that we need to understand the built form and spatial structure of cities as a system, that by shaping flows creates a series of places with very specific relations to all other places in the city, which also give them very specific performative potentials. It also implies the rather fascinating notion that what happens in one place is dependent on its relation to all other places (Hillier 1996)2. Hence, to understand the individual place, we need a model of the city as a whole. Extensive research in this direction has taken place in recent years, that has also spilled over to urban design practice, not least in Sweden, where the idea that to understand the part you need to understand the whole is starting to be established. With the GIS-based Time model for Gothenburg that we present here, we address the next challenge. Place is not only something defined by its spatial relation to all other places in its system, but also by its history, or its evolution over time. Since the built form of the city changes over time, often by cities growing but at times also by cities shrinking, the spatial relation between places changes over time. If cities tend to grow, and most often by extending their periphery, it means that most places get a more central location over time. If this is a general tendency, it does not mean that all places increase their centrality to an equal degree. Depending on the structure of the individual city’s spatial form, different places become more centrally located to different degrees as well as their relative distance to other places changes to different degrees. The even more fascinating notion then becomes apparent; places move over time! To capture, study and understand this, we need a "time model". The GIS-based time model of Gothenburg consists of: • 12 GIS-layers of the street network, from 1960 to 2015, in 5-year intervals • 12 GIS-layers of the buildings from 1960 to 2015, in 5-year intervals • 12 GIS- layers of the plots from1960 to 2015, in 5-year intervals In the GIS-based Time model, for every time-frame, the combination of the three fundamental components of spatial form, that is streets, plots and buildings, provides a consistent description of the built environment at that particular time. The evolution of three components can be studied individually, where one could for example analyze the changing patterns of street centrality over time by focusing on the street network; or, the densification processes by focusing on the buildings; or, the expansion of the city by way of occupying more buildable land, by focusing on plots. The combined snapshots of street centrality, density and land division can provide insightful observations about the spatial form of the city at each time-frame; for example, the patterns of spatial segregation, the distribution of urban density or the patterns of sprawl. The observation of how the interrelated layers of spatial form together evolved and transformed through time can provide a more complete image of the patterns of urban growth in the city. The Time model was created following the principles of the model of spatial form of the city, as developed by the Spatial Morphology Group (SMoG) at Chalmers University of Technology, within the three-year research project ‘International Spatial Morphology Lab (SMoL)’. The project is funded by Älvstranden Utveckling AB in the framework of a larger cooperation project called Fusion Point Gothenburg. The data is shared via SND to create a research infrastructure that is open to new study initiatives. 1. Batty, M. (2013), The New Science of Cities, Cambridge: MIT Press. 2. Hillier, B., (1996), Space Is the Machine. Cambridge: University of Cambridge

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

The UAE 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.

The Africa Geospatial Analytics Market is Segmented by Type (Surface Analysis, Network Analysis, Geovisualization), End User Vertical (Agriculture, Utility and Communication, Defence 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.

The Pipeline Network Market is projected to grow at 5.3% CAGR, reaching $13.13 Billion by 2029. Where is the industry heading next? Get the sample report now!

The ANZ Geospatial Analytics Market is Segmented by Type (Surface Analysis, Network Analysis, and 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, and Other End User Verticals), and by Country (Australia and New Zealand). The Market Sizes and Forecasts are Provided in Terms of Value USD for all the Above Segments.