85 datasets found
  1. D

    Utility Network Model Management Market Research Report 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Sep 30, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Dataintelo (2025). Utility Network Model Management Market Research Report 2033 [Dataset]. https://dataintelo.com/report/utility-network-model-management-market
    Explore at:
    pdf, pptx, csvAvailable download formats
    Dataset updated
    Sep 30, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Utility Network Model Management Market Outlook



    According to our latest research, the global utility network model management market size reached USD 1.67 billion in 2024, reflecting robust demand across multiple utility sectors. The market is expected to grow at a CAGR of 13.2% from 2025 to 2033, with the total market value forecasted to reach USD 4.57 billion by 2033. This significant growth is driven by the increasing need for efficient network management, rapid digital transformation of utility infrastructures, and the adoption of advanced GIS-based solutions across electricity, water, gas, and telecommunications sectors.




    One of the primary growth factors for the utility network model management market is the accelerating digital transformation within utility companies worldwide. As utilities strive to modernize their grid and network infrastructures, there is a pressing need to manage complex, interconnected assets efficiently. The rise of smart grid technologies, IoT integration, and advanced metering infrastructure (AMI) has generated massive volumes of network data that must be accurately modeled and managed. Utility network model management solutions play a pivotal role in enabling real-time asset visibility, network optimization, and predictive maintenance, which are critical for reducing operational costs and minimizing service disruptions. Furthermore, regulatory requirements for improved transparency, reporting, and reliability are compelling utilities to invest in sophisticated model management platforms.




    Another significant driver is the increasing adoption of cloud-based deployment models, which offer scalability, flexibility, and cost-effectiveness for utility companies of all sizes. Cloud-based utility network model management solutions facilitate seamless data integration, remote access, and collaborative workflows, which are particularly valuable for geographically dispersed teams. The transition to cloud platforms also enables utilities to leverage advanced analytics, artificial intelligence, and machine learning capabilities for enhanced decision-making. As the industry witnesses a shift towards digital twins and real-time network simulation, cloud-native solutions are becoming integral to utility network operations, further propelling market growth.




    Moreover, the growing emphasis on sustainability and resource optimization is fueling investments in modern network model management systems. Utilities are under increasing pressure to reduce environmental impact, optimize resource distribution, and ensure resilience against climate-related disruptions. Advanced utility network model management solutions empower organizations to simulate various scenarios, identify inefficiencies, and implement proactive measures for energy conservation and water loss reduction. The integration of these platforms with geographic information systems (GIS) and enterprise asset management (EAM) systems is also streamlining workflows and enhancing the overall efficiency of utility operations. This trend is particularly pronounced in regions facing aging infrastructure and stringent sustainability mandates.




    From a regional perspective, North America and Europe are leading the adoption of utility network model management solutions, owing to their advanced utility infrastructures and proactive regulatory frameworks. However, Asia Pacific is emerging as a high-growth region, driven by rapid urbanization, expanding utility networks, and significant investments in smart city initiatives. Latin America and the Middle East & Africa are also witnessing increased adoption, albeit at a more gradual pace, as utilities in these regions modernize their networks to address growing demand and operational challenges. The regional dynamics are shaped by factors such as government policies, technological readiness, and the pace of infrastructure development.



    Component Analysis



    The component segment of the utility network model management market is divided into software and services, both of which play critical roles in the deployment and operation of network model management solutions. Software solutions form the backbone of this market, encompassing advanced platforms for network modeling, data integration, real-time visualization, and analytics. These software tools are designed to handle the complexities of modern utility networks, enabling utilities to manage vast arrays of assets, monitor network performance, and optim

  2. D

    Utility Network GIS Migration Market Research Report 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Sep 30, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Dataintelo (2025). Utility Network GIS Migration Market Research Report 2033 [Dataset]. https://dataintelo.com/report/utility-network-gis-migration-market
    Explore at:
    csv, pptx, pdfAvailable download formats
    Dataset updated
    Sep 30, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Utility Network GIS Migration Market Outlook



    According to our latest research, the global Utility Network GIS Migration market size reached USD 2.04 billion in 2024, with a robust compound annual growth rate (CAGR) of 13.2% projected for the period from 2025 to 2033. By 2033, the market is anticipated to attain a value of USD 5.67 billion. The primary growth factor driving this surge is the increasing need for utilities to modernize legacy Geographic Information Systems (GIS) and integrate advanced digital mapping, asset management, and real-time data analytics to enhance operational efficiency and regulatory compliance.




    One of the key growth drivers for the Utility Network GIS Migration market is the accelerating pace of digital transformation across utility sectors such as electricity, water, gas, and telecommunications. Utilities are under immense pressure to improve service reliability, reduce operational costs, and comply with evolving regulatory frameworks. The migration from traditional GIS platforms to next-generation utility network GIS solutions enables organizations to leverage spatial analytics, automate workflows, and support the integration of smart grid technologies. The proliferation of distributed energy resources, IoT devices, and the need for advanced outage management systems have further intensified the demand for robust and scalable GIS migration strategies. Utilities are increasingly prioritizing the modernization of their spatial data infrastructure to ensure seamless data flow, improve asset tracking, and enhance customer engagement, thereby fueling market expansion.




    Another significant growth factor is the rising adoption of cloud-based GIS solutions, which offer utilities unparalleled flexibility, scalability, and cost-effectiveness. Cloud deployment models enable utilities to efficiently manage and analyze vast volumes of spatial and non-spatial data without the burden of maintaining on-premises infrastructure. This shift not only reduces capital expenditure but also accelerates the deployment of new functionalities and ensures rapid disaster recovery. Moreover, cloud-based GIS platforms facilitate real-time collaboration among field and office teams, enabling faster decision-making and improving response times during emergencies. The growing emphasis on sustainability, grid modernization, and the integration of renewable energy sources is prompting utilities to invest in cloud-enabled GIS migration projects to future-proof their operations and achieve long-term operational excellence.




    The increasing regulatory focus on data accuracy, cybersecurity, and interoperability is also propelling the Utility Network GIS Migration market. Regulatory bodies worldwide are mandating utilities to maintain precise and up-to-date spatial data for effective asset management, outage response, and infrastructure planning. As a result, utilities are compelled to migrate from outdated GIS systems to advanced platforms that offer robust data governance, security, and integration capabilities. The need to comply with standards such as the Common Information Model (CIM) and industry-specific regulations is driving utilities to adopt sophisticated GIS migration strategies. Furthermore, the emergence of advanced technologies such as artificial intelligence, machine learning, and big data analytics is enabling utilities to extract deeper insights from spatial data, optimize maintenance schedules, and proactively address infrastructure vulnerabilities, thereby fostering market growth.




    From a regional perspective, North America continues to dominate the Utility Network GIS Migration market, accounting for the largest share in 2024, followed closely by Europe and Asia Pacific. The rapid modernization of utility infrastructure, extensive deployment of smart grids, and the presence of leading GIS solution providers have positioned North America at the forefront of market growth. In Europe, stringent regulatory mandates and the push for sustainable energy transition are driving significant investments in GIS migration projects. Meanwhile, the Asia Pacific region is witnessing the fastest growth, fueled by large-scale infrastructure development, urbanization, and increasing government initiatives to improve utility services. The Middle East & Africa and Latin America are also emerging as promising markets, supported by ongoing digitalization efforts and investments in utility infrastructure upgrades.



    Component Analysis


  3. d

    Street Lane Closure Emergency Utility Network

    • catalog.data.gov
    • s.cnmilf.com
    • +2more
    Updated Apr 28, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    City of Philadelphia (2025). Street Lane Closure Emergency Utility Network [Dataset]. https://catalog.data.gov/dataset/street-lane-closure-emergency-utility-network
    Explore at:
    Dataset updated
    Apr 28, 2025
    Dataset provided by
    City of Philadelphia
    Description

    This layer shows the Philadelphia Gas Works (PGW) Emergency Utility Network (EUN) with Excavation points.

  4. Data from: SUBSURFACE UTILITY NETWORK CADASTRE PROPOSAL, BASED ON LADM (ISO...

    • scielo.figshare.com
    png
    Updated May 31, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Wedja de Oliveira Silva; Andrea Flávia Tenório Carneiro (2023). SUBSURFACE UTILITY NETWORK CADASTRE PROPOSAL, BASED ON LADM (ISO / FDIS 19152) [Dataset]. http://doi.org/10.6084/m9.figshare.14268783.v1
    Explore at:
    pngAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    SciELOhttp://www.scielo.org/
    Authors
    Wedja de Oliveira Silva; Andrea Flávia Tenório Carneiro
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Abstract: The increasing usage of the space above and underneath the land surface brings up the need of controlling its occupation. The localization of the infrastructure underground network is a major challenge, and for most of the countries, this information is not yet available or not easy to access. At this juncture, the cadastre of the network location is of fundamental importance for the water management supply systems. ISO 19152 from 2012 - Land Administration Domain Model (LADM) - addresses the standardization and integration of common features of cadastre systems in a simple way, and may be applied to several aspects of land administration. Within this context, this research aims to develop a model of subsurface water utility networks, based on the standard proposed by LADM. The implementation of the model suggested by ISO 19152 was tested using the COMPESA cadastre of the water utility network as a study case. The modernization and the technological advances adopted by the company facilitated the understanding of the geographical database underlying structure and its adaptation to the international standard. The modeling was produced using UML language, and DBDesigner for the physical implementation, executed in connection with PostgreSQL/PostGIS and QGIS, was applied.

  5. Water Utility Network

    • researchdata.edu.au
    • data.gov.au
    Updated Nov 19, 2018
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Townsville City Council (2018). Water Utility Network [Dataset]. https://researchdata.edu.au/water-utility-network/2976808
    Explore at:
    Dataset updated
    Nov 19, 2018
    Dataset provided by
    Data.govhttps://data.gov/
    Authors
    Townsville City Council
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The Water Utility Network includes mains, hydrants, valves, services and meters.

  6. d

    Stormwater Utility Network

    • data.gov.au
    • researchdata.edu.au
    html
    Updated Apr 12, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Townsville City Council (2021). Stormwater Utility Network [Dataset]. https://data.gov.au/data/dataset/tcc-stormwater-utility-network
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Apr 12, 2021
    Dataset provided by
    Townsville City Council
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The Stormwater Utility Network includes pipes, open drains, manholes, pits and culverts.

  7. r

    Reuse Service Lines

    • geohub.roundrocktexas.gov
    Updated Nov 19, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    City of Round Rock (2024). Reuse Service Lines [Dataset]. https://geohub.roundrocktexas.gov/datasets/reuse-service-lines-1
    Explore at:
    Dataset updated
    Nov 19, 2024
    Dataset authored and provided by
    City of Round Rock
    Area covered
    Description

    This layer contains the data for the reuse service lines in the City of Round Rock, located in Williamson County, Texas. This layer is part of an original dataset provided and maintained by the City of Round Rock Department of Utilities and Environmental Services. The data in this layer are represented as polylines.The reuse system in the City of Round Rock was implemented in order to establish a way to reuse water. The reuse system utilizes "used" water such as the water leftover from showers, sinks, dishwashers, and other appliances that create a surplus of water to water crops, grasses, or other field areas in the city.

  8. C

    Utilities and government services - Utility network

    • ckan.mobidatalab.eu
    wfs, wms
    Updated Jul 27, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Open Data Vlaanderen (2023). Utilities and government services - Utility network [Dataset]. https://ckan.mobidatalab.eu/sr_Latn/dataset/nutsdiensten-en-overheidsdiensten-nutsvoorzieningennet3
    Explore at:
    wms, wfsAvailable download formats
    Dataset updated
    Jul 27, 2023
    Dataset provided by
    Open Data Vlaanderen
    Description

    Vector file of utility elements as referred to in the INSPIRE theme Utilities and government services - Utility network. The network elements originate from the Sewer Inventory.

  9. d

    Wastewater Utility Network

    • data.gov.au
    • researchdata.edu.au
    html
    Updated Apr 12, 2021
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Townsville City Council (2021). Wastewater Utility Network [Dataset]. https://data.gov.au/data/dataset/groups/tcc-wastewater-utility-network
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Apr 12, 2021
    Dataset provided by
    Townsville City Council
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The Wastewater Utility Network includes mains, maintenance holes, services and pump stations.

  10. C

    Utilities and government services - Utility network

    • ckan.mobidatalab.eu
    wfs
    Updated Jul 27, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Open Data Vlaanderen (2023). Utilities and government services - Utility network [Dataset]. https://ckan.mobidatalab.eu/he/dataset/nutsdiensten-en-overheidsdiensten-nutsvoorzieningennet2
    Explore at:
    wfsAvailable download formats
    Dataset updated
    Jul 27, 2023
    Dataset provided by
    Open Data Vlaanderen
    Description

    INSPIRE-compatible direct transfer service with object types from INSPIRE Annex III Theme Utilities and government services - Utility network (harmonised data).

  11. a

    Drainage Utility - All Features (DWG)

    • hub.arcgis.com
    Updated Oct 23, 2020
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    City of Coquitlam (2020). Drainage Utility - All Features (DWG) [Dataset]. https://hub.arcgis.com/documents/12f3d26aafba449d809de1135201b6c4
    Explore at:
    Dataset updated
    Oct 23, 2020
    Dataset authored and provided by
    City of Coquitlam
    Description

    Complete Drainage Utility Network in file DWG format. Consume this dataset if you wish to download the entire Drainage Utility network dataset at once.

  12. r

    Reuse Meters

    • geohub.roundrocktexas.gov
    Updated Nov 19, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    City of Round Rock (2024). Reuse Meters [Dataset]. https://geohub.roundrocktexas.gov/datasets/reuse-meters-1
    Explore at:
    Dataset updated
    Nov 19, 2024
    Dataset authored and provided by
    City of Round Rock
    Area covered
    Description

    This layer contains the data for the reuse meters in the City of Round Rock, located in Williamson County, Texas. This layer is part of an original dataset provided and maintained by the City of Round Rock Department of Utilities and Environmental Services. The data in this layer are represented as points. The reuse system in the City of Round Rock was implemented in order to establish a way to reuse water. The reuse system utilizes "used" water such as the water leftover from showers, sinks, dishwashers, and other appliances that create a surplus of water to water crops, grasses, or other field areas in the city.

  13. r

    Stormwater Pond Outlet Pipes

    • geohub.roundrocktexas.gov
    • geohub-corr.hub.arcgis.com
    Updated Feb 5, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    City of Round Rock (2025). Stormwater Pond Outlet Pipes [Dataset]. https://geohub.roundrocktexas.gov/items/cca0d8040e8b418c932e163c0be990f3
    Explore at:
    Dataset updated
    Feb 5, 2025
    Dataset authored and provided by
    City of Round Rock
    Area covered
    Description

    This layer contains the data for the stormwater pond outlet pipes in the City of Round Rock, located in Williamson County, Texas. This layer is part of an original dataset provided and maintained by the City of Round Rock GIS/IT Department. The data in this layer are represented as lines.A stormwater pond outlet pipe is a pipeline that drains water from a pond. The outlet pipe is part of an outlet structure that controls the rate at which water is released from the pond.

  14. i

    Electricity Line Network of Thimi Municipality Nepal

    • rds.icimod.org
    Updated Sep 8, 2020
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    ICIMOD (2020). Electricity Line Network of Thimi Municipality Nepal [Dataset]. https://rds.icimod.org/home/datadetail?metadataid=8564
    Explore at:
    Dataset updated
    Sep 8, 2020
    Dataset authored and provided by
    ICIMOD
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Nepal, Madhyapur Thimi
    Description

    Digital line data of Electricity Network of Thimi Municipality, Nepal. This dataset is created using Topographic sheet data at scale of 25,000/50,000, of 1995 acquired from National Geographic Information Infrastructure Project (NGIIP), Dept. of Survey, Nepal and for emergency response planning in case of earthquake disaster.

  15. a

    Sanitary Utility - All Features (GDB)

    • hub.arcgis.com
    Updated Oct 23, 2020
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    City of Coquitlam (2020). Sanitary Utility - All Features (GDB) [Dataset]. https://hub.arcgis.com/documents/90820a2b21244530a5096b2c4b0c3797
    Explore at:
    Dataset updated
    Oct 23, 2020
    Dataset authored and provided by
    City of Coquitlam
    Description

    Complete Sanitary Utility Network in file geodatabase format. Consume this dataset if you wish to download the entire Sanitary Utility network dataset at once.

  16. d

    Taichung Public Utilities Network Information

    • data.gov.tw
    csv
    Updated Jun 1, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). Taichung Public Utilities Network Information [Dataset]. https://data.gov.tw/en/datasets/144588
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jun 1, 2025
    License

    https://data.gov.tw/licensehttps://data.gov.tw/license

    Area covered
    Taichung, Taichung City
    Description

    The Taichung City Public Utility Network is a map accompanying the 1/1000 topographic pattern from about 1987 to 1989. It was produced after the aerial license was issued and has not been revised on the ground. Its name "Public Utility Network" is still used at that time. The name of the 1/1000 layer is not road information, but various manhole map data generated by the 1/1000 project. This file was not updated with the development of the Taichung City Public Pipeline Data Project, but retained the original Due to the age of the archives, the relevant contents are no longer available for examination. Only the illustrations are retained as "collection materials" for future reference.

  17. e

    DBTL — P020213 — Localisation of technological network artifact/Location of...

    • data.europa.eu
    wms
    Updated Mar 17, 2016
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2016). DBTL — P020213 — Localisation of technological network artifact/Location of a manufactured of utility network [Dataset]. https://data.europa.eu/data/datasets/p_lo-20160317-120400?locale=en
    Explore at:
    wmsAvailable download formats
    Dataset updated
    Mar 17, 2016
    Description

    Information layer of the Topographic Database of the Province of Lodi. P020213 — Localisation of technological network artifact. Small products related to industrial activities.

  18. c

    Global Utilities Network Designing Software Market Report 2025 Edition,...

    • cognitivemarketresearch.com
    pdf,excel,csv,ppt
    Updated Sep 22, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Cognitive Market Research (2025). Global Utilities Network Designing Software Market Report 2025 Edition, Market Size, Share, CAGR, Forecast, Revenue [Dataset]. https://www.cognitivemarketresearch.com/utilities-network-designing-software-market-report
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Sep 22, 2025
    Dataset authored and provided by
    Cognitive Market Research
    License

    https://www.cognitivemarketresearch.com/privacy-policyhttps://www.cognitivemarketresearch.com/privacy-policy

    Time period covered
    2021 - 2033
    Area covered
    Global
    Description

    Global Utilities Network Designing Software market size 2021 was recorded $1350 Million whereas by the end of 2025 it will reach $1850.3 Million. According to the author, by 2033 Utilities Network Designing Software market size will become $3475.84. Utilities Network Designing Software market will be growing at a CAGR of 8.2% during 2025 to 2033.

  19. r

    Stormwater Channel

    • geohub.roundrocktexas.gov
    Updated Nov 19, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    City of Round Rock (2024). Stormwater Channel [Dataset]. https://geohub.roundrocktexas.gov/datasets/stormwater-channel
    Explore at:
    Dataset updated
    Nov 19, 2024
    Dataset authored and provided by
    City of Round Rock
    Area covered
    Description

    This layer contains the data for the stormwater channels in the City of Round Rock, located in Williamson County, Texas. This layer is part of an original dataset provided and maintained by the City of Round Rock GIS/IT and Public Works Departments. The data in this layer are represented as polylines. A stormwater channel is a canal-like structure that provides stormwater, or runoff water with somewhere to go. Channels allow water to flow in a predetermined direction instead of staying still. The use of channels also allows stormwater to be collected and reused for other purposes.

  20. D

    Utility GIS Market Research Report 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Oct 1, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Dataintelo (2025). Utility GIS Market Research Report 2033 [Dataset]. https://dataintelo.com/report/utility-gis-market
    Explore at:
    pptx, pdf, csvAvailable download formats
    Dataset updated
    Oct 1, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Utility GIS Market Outlook



    According to our latest research, the global Utility GIS market size reached USD 3.1 billion in 2024 and is expected to grow at a robust CAGR of 10.2% during the forecast period, reaching approximately USD 7.5 billion by 2033. The market’s expansion is primarily driven by the increasing adoption of geographic information systems (GIS) for efficient utility asset management, network optimization, and regulatory compliance across electric, water, gas, and telecommunication utilities. This growth trajectory is underpinned by the digital transformation of utility infrastructure and the rising need for real-time spatial data analytics.




    The growth of the Utility GIS market is fueled by the accelerating integration of digital technologies within utility operations worldwide. Utilities are increasingly leveraging GIS solutions to enhance grid reliability, optimize asset performance, and support decision-making processes. With aging infrastructure and the growing complexity of utility networks, GIS platforms provide a comprehensive spatial view that enables predictive maintenance, efficient outage management, and streamlined regulatory reporting. Furthermore, the proliferation of smart grid initiatives and the integration of IoT sensors are generating massive geospatial datasets, which utility companies are harnessing through GIS for actionable insights and enhanced service delivery. The demand for advanced mapping, real-time monitoring, and data-driven planning is expected to intensify, further propelling market growth.




    Another significant growth factor for the Utility GIS market is the increasing focus on sustainability and renewable energy integration. Utilities are under pressure to modernize their infrastructure to accommodate distributed energy resources, such as solar and wind, while maintaining grid stability and regulatory compliance. GIS solutions play a pivotal role in planning and managing these transitions by providing spatial intelligence for site selection, network expansion, and environmental impact assessment. Additionally, governments and regulatory bodies worldwide are mandating stricter asset management and reporting standards, compelling utilities to adopt robust GIS platforms. These factors, combined with rising investments in smart city projects and digital twins, are creating substantial opportunities for the Utility GIS market.




    The ongoing shift towards cloud-based GIS solutions is another key driver shaping the Utility GIS market landscape. Cloud deployment offers utilities enhanced scalability, cost-efficiency, and remote accessibility, enabling seamless collaboration across geographically dispersed teams. This is particularly beneficial for utilities operating in multiple regions or those undertaking large-scale infrastructure upgrades. The adoption of cloud GIS also supports integration with other enterprise systems, such as ERP and asset management platforms, further enhancing operational efficiency. As utilities continue to embrace digital transformation and smart infrastructure, the demand for flexible, cloud-enabled GIS solutions is expected to surge, contributing to sustained market growth over the forecast period.




    From a regional perspective, North America currently leads the Utility GIS market, driven by significant investments in grid modernization, advanced metering infrastructure, and stringent regulatory requirements. The presence of major technology providers and a strong focus on innovation further bolster market growth in this region. Europe follows closely, with robust adoption of GIS for renewable integration and smart city initiatives. Meanwhile, the Asia Pacific region is witnessing the fastest growth, attributed to rapid urbanization, expanding utility networks, and government-led digital infrastructure projects. Latin America and the Middle East & Africa are also emerging as promising markets, supported by increased investments in utility digitization and infrastructure development.



    Component Analysis



    The Utility GIS market is segmented by component into software, services, and hardware, each playing a vital role in the overall ecosystem. The software segment currently accounts for the largest share, driven by the growing demand for advanced GIS platforms that offer robust analytics, real-time data visualization, and seamless integration with other enterprise systems. Modern GIS software solutions are designed to handle large volumes

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Dataintelo (2025). Utility Network Model Management Market Research Report 2033 [Dataset]. https://dataintelo.com/report/utility-network-model-management-market

Utility Network Model Management Market Research Report 2033

Explore at:
pdf, pptx, csvAvailable download formats
Dataset updated
Sep 30, 2025
Dataset authored and provided by
Dataintelo
License

https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

Time period covered
2024 - 2032
Area covered
Global
Description

Utility Network Model Management Market Outlook



According to our latest research, the global utility network model management market size reached USD 1.67 billion in 2024, reflecting robust demand across multiple utility sectors. The market is expected to grow at a CAGR of 13.2% from 2025 to 2033, with the total market value forecasted to reach USD 4.57 billion by 2033. This significant growth is driven by the increasing need for efficient network management, rapid digital transformation of utility infrastructures, and the adoption of advanced GIS-based solutions across electricity, water, gas, and telecommunications sectors.




One of the primary growth factors for the utility network model management market is the accelerating digital transformation within utility companies worldwide. As utilities strive to modernize their grid and network infrastructures, there is a pressing need to manage complex, interconnected assets efficiently. The rise of smart grid technologies, IoT integration, and advanced metering infrastructure (AMI) has generated massive volumes of network data that must be accurately modeled and managed. Utility network model management solutions play a pivotal role in enabling real-time asset visibility, network optimization, and predictive maintenance, which are critical for reducing operational costs and minimizing service disruptions. Furthermore, regulatory requirements for improved transparency, reporting, and reliability are compelling utilities to invest in sophisticated model management platforms.




Another significant driver is the increasing adoption of cloud-based deployment models, which offer scalability, flexibility, and cost-effectiveness for utility companies of all sizes. Cloud-based utility network model management solutions facilitate seamless data integration, remote access, and collaborative workflows, which are particularly valuable for geographically dispersed teams. The transition to cloud platforms also enables utilities to leverage advanced analytics, artificial intelligence, and machine learning capabilities for enhanced decision-making. As the industry witnesses a shift towards digital twins and real-time network simulation, cloud-native solutions are becoming integral to utility network operations, further propelling market growth.




Moreover, the growing emphasis on sustainability and resource optimization is fueling investments in modern network model management systems. Utilities are under increasing pressure to reduce environmental impact, optimize resource distribution, and ensure resilience against climate-related disruptions. Advanced utility network model management solutions empower organizations to simulate various scenarios, identify inefficiencies, and implement proactive measures for energy conservation and water loss reduction. The integration of these platforms with geographic information systems (GIS) and enterprise asset management (EAM) systems is also streamlining workflows and enhancing the overall efficiency of utility operations. This trend is particularly pronounced in regions facing aging infrastructure and stringent sustainability mandates.




From a regional perspective, North America and Europe are leading the adoption of utility network model management solutions, owing to their advanced utility infrastructures and proactive regulatory frameworks. However, Asia Pacific is emerging as a high-growth region, driven by rapid urbanization, expanding utility networks, and significant investments in smart city initiatives. Latin America and the Middle East & Africa are also witnessing increased adoption, albeit at a more gradual pace, as utilities in these regions modernize their networks to address growing demand and operational challenges. The regional dynamics are shaped by factors such as government policies, technological readiness, and the pace of infrastructure development.



Component Analysis



The component segment of the utility network model management market is divided into software and services, both of which play critical roles in the deployment and operation of network model management solutions. Software solutions form the backbone of this market, encompassing advanced platforms for network modeling, data integration, real-time visualization, and analytics. These software tools are designed to handle the complexities of modern utility networks, enabling utilities to manage vast arrays of assets, monitor network performance, and optim

Search
Clear search
Close search
Google apps
Main menu