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

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

This service has been designed to support the advance capabilities of the ArcGIS Utility Network.

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GIS In Utility Industry Market Size 2025-2029

The gis in utility industry market size is forecast to increase by USD 3.55 billion, at a CAGR of 19.8% between 2024 and 2029.

The utility industry's growing adoption of Geographic Information Systems (GIS) is driven by the increasing need for efficient and effective infrastructure management. GIS solutions enable utility companies to visualize, analyze, and manage their assets and networks more effectively, leading to improved operational efficiency and customer service. A notable trend in this market is the expanding application of GIS for water management, as utilities seek to optimize water distribution and reduce non-revenue water losses. However, the utility GIS market faces challenges from open-source GIS software, which can offer cost-effective alternatives to proprietary solutions. These open-source options may limit the functionality and support available to users, necessitating careful consideration when choosing a GIS solution. To capitalize on market opportunities and navigate these challenges, utility companies must assess their specific needs and evaluate the trade-offs between cost, functionality, and support when selecting a GIS provider. Effective strategic planning and operational execution will be crucial for success in this dynamic market.

What will be the Size of the GIS In Utility Industry Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
Request Free SampleThe Global Utilities Industry Market for Geographic Information Systems (GIS) continues to evolve, driven by the increasing demand for advanced data management and analysis solutions. GIS services play a crucial role in utility infrastructure management, enabling asset management, data integration, project management, demand forecasting, data modeling, data analytics, grid modernization, data security, field data capture, outage management, and spatial analysis. These applications are not static but rather continuously unfolding, with new patterns emerging in areas such as energy efficiency, smart grid technologies, renewable energy integration, network optimization, and transmission lines. Spatial statistics, data privacy, geospatial databases, and remote sensing are integral components of this evolving landscape, ensuring the effective management of utility infrastructure. Moreover, the adoption of mobile GIS, infrastructure planning, customer service, asset lifecycle management, metering systems, regulatory compliance, GIS data management, route planning, environmental impact assessment, mapping software, GIS consulting, GIS training, smart metering, workforce management, location intelligence, aerial imagery, construction management, data visualization, operations and maintenance, GIS implementation, and IoT sensors is transforming the industry. The integration of these technologies and services facilitates efficient utility infrastructure management, enhancing network performance, improving customer service, and ensuring regulatory compliance. The ongoing evolution of the utilities industry market for GIS reflects the dynamic nature of the sector, with continuous innovation and adaptation to meet the changing needs of utility providers and consumers.

How is this GIS In Utility Industry Industry segmented?

The gis in utility industry industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments. ProductSoftwareDataServicesDeploymentOn-premisesCloudGeographyNorth AmericaUSCanadaEuropeFranceGermanyRussiaMiddle East and AfricaUAEAPACChinaIndiaJapanSouth AmericaBrazilRest of World (ROW).

By Product Insights

The software segment is estimated to witness significant growth during the forecast period.In the utility industry, Geographic Information Systems (GIS) play a pivotal role in optimizing operations and managing infrastructure. Utilities, including electricity, gas, water, and telecommunications providers, utilize GIS software for asset management, infrastructure planning, network performance monitoring, and informed decision-making. The GIS software segment in the utility industry encompasses various solutions, starting with fundamental GIS software that manages and analyzes geographical data. Additionally, utility companies leverage specialized software for field data collection, energy efficiency, smart grid technologies, distribution grid design, renewable energy integration, network optimization, transmission lines, spatial statistics, data privacy, geospatial databases, GIS services, project management, demand forecasting, data modeling, data analytics, grid modernization, data security, field data capture, outage ma

This service has been designed to support the advance capabilities of the ArcGIS Utility Network.

Fittings are used to attach one pipe to another in order to combine, divert, or reduce the flow of wastewater. Fittings are required to participate in a Utility Network. Attribute Information:Field Name DescriptionOBJECTIDESRI software specific field that serves as an index for the database.AssetGroupDomained values defining participation in a Utility Network.AssociationStatusDomained values defining participation in a Utility Network.IsConnectedDomained values defining participation in a Utility Network.GlobalIDESRI software specific field that is automatically assigned by the geodatabase at row creation.cpSubnetworkNameDomained values defining participation in a Utility Network.SystemSubnetworkNameDomained values defining participation in a Utility Network.SewershedSubnetworkNameDomained values defining participation in a Utility Network.LifecycleStatusThe current status of the asset with respect to its location in the asset management lifecycle. Infor required field.InstallDateThe date when the asset was installed. Typically pulled from as-builts for consistency. Infor required field.AssetIDA unique identifier for the asset class.SymbolRotationValue representing the degrees of rotation appropriate for the asset for symbolization purposes.OwnedByDomained values denoting ownership of the asset.MaintByDomained values denoting the responsibility of asset maintenance.NotesA catch all for asset information that doesn't warrant it's own field.SpatialSourceSource of the spatial location of the asset.SpatialConfidenceConfidence of the spatial location of the asset.cpOverrideDomained values defining participation in a Utility Network.cpTraceabilityDomained values defining participation in a Utility Network.DiameterDiameter of the pipe in inches.BendAngleAngle in degrees that the fitting diverts the flow of wastewater.LocationDescriptionInformation related to the construction location or project name. Infor required field.ShapeESRI software specific field denoting the geometry type of the asset.AssetTypeA field to denote the subtype of fitting. Subtypes include: Unknown, Coupling, Cross, Elbow, End Cap, Expansion Joint, Flange, Plug, Reducer, Reducing Cross, Reducing Tee, Saddle, Screw, Sleeve, Tap, Tapping Saddle, Tee, Transition, Weld, and Wye. created_userName of user whom created the asset.created_dateDate when the asset was created.last_edited_userName of user whom most recently edited asset information.last_edited_dateDate when asset was most recently updated.

The Geospatial Information Systems (GIS) market for the energy and utilities sector is experiencing robust growth, driven by the increasing need for efficient asset management, improved network planning, and enhanced operational efficiency. The market, estimated at $15 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 8% from 2025 to 2033, reaching approximately $28 billion by 2033. This growth is fueled by several key factors. Firstly, the expanding adoption of smart grids and renewable energy sources necessitates sophisticated GIS solutions for monitoring, managing, and optimizing energy distribution. Secondly, the rising demand for improved infrastructure planning and maintenance, particularly in aging grids, is driving investment in GIS technologies for predictive maintenance and risk assessment. Thirdly, the increasing availability of high-resolution satellite imagery and advanced analytics capabilities is enhancing the accuracy and insights derived from GIS applications. The market is segmented by application (SMEs and Large Enterprises) and type (Cloud-based and On-premises). Large enterprises currently dominate the market due to higher budgets and complex infrastructure needs, but the SME segment shows significant growth potential as cloud-based GIS solutions become more accessible and affordable. Geographical distribution reveals strong market presence in North America and Europe, fueled by established infrastructure and early adoption of GIS technologies. However, significant growth opportunities exist in Asia-Pacific, particularly in developing economies like India and China, where rapid urbanization and infrastructure development are driving demand for GIS solutions. While the market faces restraints such as high initial investment costs and the need for skilled professionals, the overall growth trajectory remains positive. The increasing integration of GIS with other technologies, such as IoT and AI, is expected to further enhance its capabilities and drive market expansion. Key players in this space include Precisely, Esri, Autodesk, and others, constantly innovating to provide advanced GIS solutions tailored to the specific needs of the energy and utilities sector. The competitive landscape is characterized by both established players and emerging technology providers.

The Saudi Arabian geospatial analytics market, valued at $400 million in 2025, is poised for significant growth, exhibiting a Compound Annual Growth Rate (CAGR) of 9.22% from 2025 to 2033. This expansion is driven by several key factors. Firstly, substantial investments in infrastructure development, including smart city initiatives and digital transformation across various sectors, are fueling the demand for sophisticated geospatial analytics solutions. Secondly, the Kingdom's strategic focus on Vision 2030, which emphasizes diversification and technological advancement, is creating a favorable environment for the adoption of geospatial technologies across sectors such as agriculture, utilities, defense, and real estate. The increasing availability of high-resolution satellite imagery, coupled with advancements in data analytics and artificial intelligence (AI), further enhances the market's growth trajectory. Government initiatives promoting data sharing and open data platforms are also playing a crucial role. Segmentation reveals that network analysis and geovisualization are experiencing the fastest growth, driven by their applications in urban planning, resource management, and emergency response. Key players, including established technology giants like Microsoft and Esri, as well as specialized geospatial firms, are actively competing in this dynamic market, contributing to innovation and service diversification. Despite the promising outlook, challenges remain. Data security and privacy concerns related to handling sensitive geospatial data pose a significant restraint. Furthermore, the lack of skilled professionals proficient in geospatial analytics and data interpretation could hinder market growth in the short term. Nevertheless, ongoing investments in education and training programs should mitigate this issue. The overall market landscape indicates substantial potential for growth, particularly in leveraging geospatial analytics for sustainable development and effective resource allocation across Saudi Arabia's diverse sectors. The forecast period, spanning from 2025 to 2033, projects substantial market expansion, driven by consistent technological innovation and governmental support for digital transformation. Recent developments include: May 2023: Microsoft introduced three new functions for geospatial analysis in Azure Data Explorer, geo_point_buffer, geo_line_buffer, and geo_polygon_buffer. These functions allow users to create polygonal buffers around geospatial points, lines, or polygons, respectively, and return the resulting geometry. Users can use these functions to perform spatial operations such as intersection, containment, distance, or proximity on user geospatial data or to visualize data on maps., October 2022: ROSHN, the Kingdom of Saudi Arabia's nationwide real estate developer, backed by the government's Public Investment Fund (PIF), supported government efforts to improve homeownership rates while delivering sophisticated living standards. The Saudi Arabia designer built communities that looked to the nation's heritage and evolving resident aspirations. To support its vision and ongoing regional projects, ROSHN signed a memorandum of understanding (MOU) with Esri, the global player in location intelligence., . Key drivers for this market are: Increasing in Demand for Location Intelligence, Advancements of Big Data Analytics. Potential restraints include: Increasing in Demand for Location Intelligence, Advancements of Big Data Analytics. Notable trends are: Geovisualization is Expected to Hold Significant Share of the Market.

Electrical Conduit System within the Electric Utility Network.

The Sewer Network Line Collection contains the lines which deliver your utility resource. Lines can be connected to other lines, junctions, and devices. Lines can be contained within assemblies. See the Sewer Data Dictionary for complete descriptions and definitions of each Layer, Asset Group, and Asset Type. The dictionary also provides details of the Utility Network along with attribute field definitions, relationship definitions, tables and attribute domain values.

Water Distribution Line Collection contains Water Main and Service Line asset groups. See the Water Data Dictionary for complete descriptions and definitions of each Layer, Asset Group, and Asset Type. The dictionary also provides details of the Utility Network along with attribute field definitions, relationship definitions, tables and attribute domain values.

This CAD (.dwg) package, (last updated January 3, 2024), contains all the layers within the Water Utility network. The City of Langley has compiled all the Water Utility network layers in one AutoCAD (.dwg) file. CAD layers:Air ValvesAuto FlushersBlowoffsHydrantsMainsMains AnnotationOffsetOffset TextPressure Reducing ValvesPressure ZoneResevoirService LinesService TextValvesZone Valves

Electrical Surface Structure within the Electric Utility Network.

Electrical Underground Structure within the Electric Utility Network.

This layer tracks sanitary sewer lines in the City of Norman. The layer was developed in 1995, using hard copy maps maintained by the Utilities Department. It has been continually updated since that time using as-built drawings, aerial photography, and GPS data collection. To display data by unique main types, reference the MAIN TYPE field.

Network structure for stormwater system in the City of San Jose, CA.Data is published on Mondays on a weekly basis.

Stormwater Network - Discharge PointData current as of the last business day.

Summary: Water Main Utility Network Assets and DetailsDisclaimer: The User acknowledges and agrees that the Data is provided by the City to the User for the User's convenience and reference, and that the City makes no guarantees, representations or warranties, whether express or implied, as to the Data or as to any results to be or intended to be achieved from use of the Data, including without limitation guarantees, representations or warranties as to the accuracy, quality or completeness of the Data, merchantability or fitness for use for any particular purpose, and the User hereby waives all guarantees, representations and warranties in respect of the Data, whether express, implied by statute or otherwise. The User hereby releases The City from, and hereby indemnifies and holds harmless The City from and against, any liability, obligation, costs (including without limitation legal costs), expenses, claims, actions, proceedings, damages and penalties to the User or any other person or legal entity resulting from or related to the use, disclosure or reproduction of or reliance on the Data.

Sanitary Network Structure lift stations within the City of Kamloops.

Network structure for Sanitary Sewer System.Data is published on Mondays on a weekly basis.