Discover the booming Underground Utilities Mapping Services market! Learn about its $15 billion valuation, 7% CAGR, key drivers (urbanization, tech advancements), and top players. Explore market trends and future projections in this in-depth analysis.

This online map contains utility infrastructure features published by the Natrona Regional Geospatial Cooperative (NRGC).

Discover the booming underground utility mapping software market! Learn about its $2.5B valuation (2025), 12% CAGR, key drivers, top companies, and future trends shaping this crucial industry. Explore market segmentation and regional analysis for informed investment decisions.

Polygon geometry with attributes displaying all electricity utility service areas in East Baton Rouge Parish, Louisiana. Information was gathered from the Louisiana Public Service Commission website at https://www.lpsc.louisiana.gov/Maps_Electric_Distribution_Areas.aspx and from the City-Parish Department of Transportation and Drainage.Metadata

March 2025

The construction of this data model was adapted from the Telvent Miner & Miner ArcFM MultiSpeak data model to provide interface functionality with Milsoft Utility Solutions WindMil engineering analysis program. Database adaptations, GPS data collection, and all subsequent GIS processes were performed by Southern Geospatial Services for the Town of Apex Electric Utilities Division in accordance to the agreement set forth in the document "Town of Apex Electric Utilities GIS/GPS Project Proposal" dated March 10, 2008. Southern Geospatial Services disclaims all warranties with respect to data contained herein. Questions regarding data quality and accuracy should be directed to persons knowledgeable with the forementioned agreement.The data in this GIS with creation dates between March of 2008 and April of 2024 were generated by Southern Geospatial Services, PLLC (SGS). The original inventory was performed under the above detailed agreement with the Town of Apex (TOA). Following the original inventory, SGS performed maintenance projects to incorporate infrastructure expansion and modification into the GIS via annual service agreements with TOA. These maintenances continued through April of 2024.At the request of TOA, TOA initiated in house maintenance of the GIS following delivery of the final SGS maintenance project in April of 2024. GIS data created or modified after April of 2024 are not the product of SGS.With respect to SGS generated GIS data that are point features:GPS data collected after January 1, 2013 were surveyed using mapping grade or survey grade GPS equipment with real time differential correction undertaken via the NC Geodetic Surveys Real Time Network (VRS). GPS data collected prior to January 1, 2013 were surveyed using mapping grade GPS equipment without the use of VRS, with differential correction performed via post processing.With respect to SGS generated GIS data that are line features:Line data in the GIS for overhead conductors were digitized as straight lines between surveyed poles. Line data in the GIS for underground conductors were digitized between surveyed at grade electric utility equipment. The configurations and positions of the underground conductors are based on TOA provided plans. The underground conductors are diagrammatic and cannot be relied upon for the determination of the actual physical locations of underground conductors in the field.The Service Locations feature class was created by Southern Geospatial Services (SGS) from a shapefile of customer service locations generated by dataVoice International (DV) as part of their agreement with the Town of Apex (TOA) regarding the development and implemention of an Outage Management System (OMS).Point features in this feature class represent service locations (consumers of TOA electric services) by uniquely identifying the features with the same unique identifier as generated for a given service location in the TOA Customer Information System (CIS). This is also the mechanism by which the features are tied to the OMS. Features are physically located in the GIS based on CIS address in comparison to address information found in Wake County GIS property data (parcel data). Features are tied to the GIS electric connectivity model by identifying the parent feature (Upline Element) as the transformer that feeds a given service location.SGS was provided a shapefile of 17992 features from DV. Error potentially exists in this DV generated data for the service location features in terms of their assigned physical location, phase, and parent element.Regarding the physical location of the features, SGS had no part in physically locating the 17992 features as provided by DV and cannot ascertain the accuracy of the locations of the features without undertaking an analysis designed to verify or correct for error if it exists. SGS constructed the feature class and loaded the shapefile objects into the feature class and thus the features exist in the DV derived location. SGS understands that DV situated the features based on the address as found in the CIS. No features were verified as to the accuracy of their physical location when the data were originally loaded. It is the assumption of SGS that the locations of the vast majority of the service location features as provided by DV are in fact correct.SGS understands that as a general rule that DV situated residential features (individually or grouped) in the center of a parcel. SGS understands that for areas where multiple features may exist in a given parcel (such as commercial properties and mobile home parks) that DV situated features as either grouped in the center of the parcel or situated over buildings, structures, or other features identifiable in air photos. It appears that some features are also grouped in roads or other non addressed locations, likely near areas where they should physically be located, but that these features were not located in a final manner and are either grouped or strung out in a row in the general area of where DV may have expected they should exist.Regarding the parent and phase of the features, the potential for error is due to the "first order approximation" protocol employed by DV for assigning the attributes. With the features located as detailed above, SGS understands that DV identified the transformer closest to the service location (straight line distance) as its parent. Phase was assigned to the service location feature based on the phase of the parent transformer. SGS expects that this protocol correctly assigned parent (and phase) to a significant portion of the features, however this protocol will also obviously incorretly assign parent in many instances.To accurately identify parent for all 17992 service locations would require a significant GIS and field based project. SGS is willing to undertake a project of this magnitude at the discretion of TOA. In the meantime, SGS is maintaining (editing and adding to) this feature class as part of the ongoing GIS maintenance agreement that is in place between TOA and SGS. In lieu of a project designed to quality assess and correct for the data provided by DV, SGS will verify the locations of the features at the request of TOA via comparison of the unique identifier for a service location to the CIS address and Wake County parcel data address as issues arise with the OMS if SGS is directed to focus on select areas for verification by TOA. Additionally, as SGS adds features to this feature class, if error related to the phase and parent of an adjacent feature is uncovered during a maintenance, it will be corrected for as part of that maintenance.With respect to the additon of features moving forward, TOA will provide SGS with an export of CIS records for each SGS maintenance, SGS will tie new accounts to a physical location based on address, SGS will create a feature for the CIS account record in this feature class at the center of a parcel for a residential address or at the center of a parcel or over the correct (or approximately correct) location as determined via air photos or via TOA plans for commercial or other relevant areas, SGS will identify the parent of the service location as the actual transformer that feeds the service location, and SGS will identify the phase of the service address as the phase of it's parent.Service locations with an ObjectID of 1 through 17992 were originally physically located and attributed by DV.Service locations with an ObjectID of 17993 or higher were originally physically located and attributed by SGS.DV originated data are provided the Creation User attribute of DV, however if SGS has edited or verified any aspect of the feature, this attribute will be changed to SGS and a comment related to the edits will be provided in the SGS Edits Comments data field. SGS originated features will be provided the Creation User attribute of SGS. Reference the SGS Edits Comments attribute field Metadata for further information.

Discover the booming Subsurface Utility Mapping market! This comprehensive analysis reveals a $8B market in 2025 projected to reach $14B by 2033, driven by infrastructure growth and technological advancements. Explore market trends, segmentation, key players & regional insights.

This data provides graphic representation of electric company territories of New Jersey. Data was compiled using Electric Utility paper maps, all greater than 1:500,000. It is anticipated that electric company territorial boundaries will remain stable.

Utility GIS Field Data Collection Market Outlook

As per our latest research, the global Utility GIS Field Data Collection market size in 2024 stands at USD 1.62 billion, reflecting the sector’s robust expansion driven by the digital transformation of utility infrastructure management. The market is experiencing a strong compound annual growth rate (CAGR) of 11.2% from 2025 to 2033. By 2033, the market is forecasted to reach USD 4.22 billion, underpinned by rising investments in smart grid technologies, increasing regulatory mandates for accurate geospatial data, and the growing need for efficient asset management across electric, water, gas, and telecommunication utilities.

The primary growth factor for the Utility GIS Field Data Collection market is the accelerating adoption of Geographic Information Systems (GIS) in field operations to enhance the accuracy, efficiency, and reliability of utility asset management. Utilities across the globe are increasingly leveraging advanced GIS-enabled field data collection tools to streamline processes such as asset mapping, network inspections, and maintenance scheduling. The integration of real-time data collection with cloud-based GIS platforms enables field workers to capture, update, and synchronize geospatial data instantaneously, reducing manual errors and operational downtime. This digital shift is further fueled by the proliferation of mobile devices and IoT sensors, which allow utilities to gather granular data from remote locations, supporting predictive maintenance and rapid response to outages or infrastructure issues.

Another critical driver is the mounting regulatory pressure and compliance requirements imposed by government agencies and industry bodies, particularly in regions with aging utility infrastructure. Utilities are mandated to maintain accurate, up-to-date geospatial records to ensure public safety, environmental protection, and efficient resource allocation. The deployment of GIS field data collection solutions facilitates compliance by providing comprehensive audit trails, real-time reporting, and seamless integration with enterprise asset management (EAM) systems. As governments worldwide invest in smart city initiatives and infrastructure modernization, the demand for advanced GIS capabilities in field data collection is expected to surge, creating new opportunities for software vendors, hardware providers, and service integrators.

Moreover, the growing complexity of utility networks, coupled with the increasing frequency of extreme weather events and natural disasters, necessitates robust field data collection systems for rapid damage assessment and recovery planning. GIS-based field data collection tools empower utilities to quickly map affected areas, prioritize restoration efforts, and communicate effectively with stakeholders. The ability to overlay real-time field data with historical geospatial information enhances situational awareness and supports data-driven decision-making. As utilities strive to enhance operational resilience and customer service, the adoption of advanced GIS field data collection solutions is poised to become a strategic imperative.

Regionally, North America leads the Utility GIS Field Data Collection market, accounting for over 38% of the global market share in 2024, followed by Europe and Asia Pacific. The United States and Canada are at the forefront of adoption, driven by significant investments in grid modernization and stringent regulatory frameworks. Europe is witnessing steady growth, propelled by the digital transformation of water and gas utilities and the implementation of the European Green Deal. Meanwhile, the Asia Pacific region is emerging as a high-growth market, fueled by rapid urbanization, expanding utility networks, and government-led smart infrastructure projects in countries such as China, India, and Australia. Latin America and the Middle East & Africa are also showing increasing interest in GIS field data collection solutions to address infrastructure challenges and improve service delivery.

Water utility areas in Johnson County

The Underground Utility Mapping market is experiencing robust growth, projected to reach a value exceeding $1.32 billion by 2025 and exhibiting a Compound Annual Growth Rate (CAGR) of over 9.61% from 2025 to 2033. This expansion is fueled by several key drivers. Increasing urbanization and infrastructure development necessitate accurate and efficient utility mapping to prevent costly damages during excavation projects. Stringent safety regulations mandating utility mapping before construction activities further bolster market demand. Technological advancements, particularly in Ground Penetrating Radar (GPR) and electromagnetic locators, are enhancing the accuracy and speed of mapping, driving market adoption. The growing adoption of sophisticated data analytics and GIS integration also contributes significantly to market growth. Furthermore, the rising prevalence of smart city initiatives globally underscores the importance of precise utility data management, creating substantial opportunities for market players. The market is segmented by component type (solutions, encompassing GPR, electromagnetic locators, and other technologies; and services), and by end-user industry (public safety, oil and gas, building and construction, telecommunication, electricity, and others). The solutions segment is likely to dominate owing to continuous technological innovation and the need for high-precision mapping. Geographically, North America and Europe currently hold significant market share due to established infrastructure and advanced technological adoption. However, Asia-Pacific is projected to witness the fastest growth during the forecast period, driven by rapid urbanization and infrastructure development in emerging economies. Key market restraints include the high initial investment costs associated with advanced mapping technologies and the need for skilled professionals to operate and interpret the data. Despite these challenges, the long-term outlook for the Underground Utility Mapping market remains highly positive, with consistent growth anticipated throughout the forecast period. This comprehensive report provides an in-depth analysis of the global Underground Utility Mapping market, offering valuable insights for stakeholders across the value chain. The study period covers 2019-2033, with 2025 serving as the base and estimated year, and the forecast period spanning 2025-2033. The report meticulously examines market dynamics, key players, technological advancements, and future growth prospects, leveraging data from the historical period (2019-2024). This detailed analysis will equip businesses with the knowledge needed to navigate this rapidly evolving market and make informed strategic decisions. The market is segmented by component type (Ground Penetrating Radar, Electromagnetic Locators, Other Solutions), services, and end-user industry (Public Safety, Oil and Gas, Building and Construction, Telecommunication, Electricity, Other End-user Industries). Recent developments include: March 2024: WSB LLC (“WSB”), one of the nation’s fastest-growing infrastructure engineering and consulting firms, partnered with 4M Analytics, the nation’s leading subsurface utility AI mapping and analytics solution. This partnership is intended to support infrastructure projects across the United States, focusing on data integrity and real-time digital delivery. Leveraging artificial intelligence, computer vision, and change detection techniques, 4M Analytics synthesizes, digitizes, and geo-locates millions of utility data sources into a single platform and visually validates each line using vertical and horizontal imagery dating back to the 1940s. This enables ‘real-time’ access to the utility landscape for infrastructure projects through an intuitive user interface. The mapping resources will decrease the time it takes to locate underground utilities for owners, civil engineering firms, general contractors, subsurface utility engineering firms, and many other utility stakeholders., February 2024: Exodigo announced that it would offer the accurate and complete subsurface maps needed to improve undergrounding processes for power lines as part of the Grid Overhaul with Proactive, High-speed Undergrounding for Reliability, Resilience, and Security (GOPHURRS) program led by the US Department of Energy’s Advanced Research Projects Agency-Energy (ARPA-E).. Key drivers for this market are: Emerging Technologies Combined With Utility Maps to Improve the Exploration Activities, Increasing Availability of Detecting Applications and Increased Return on Marketing Spending. Potential restraints include: High Initial Investment Cost To Hinder Market Growth. Notable trends are: Ground Penetrating Radar is Expected to be the Largest Component Type Solution.

Discover the booming Subsurface Utility Mapping market. This in-depth analysis reveals a $12 billion market in 2025, projected to grow at an 8% CAGR through 2033. Explore key drivers, trends, and regional insights impacting LiDAR, GPR, and GIS technologies in utility mapping.

Utility GIS Market Outlook

According to our latest research, the global Utility GIS market size reached USD 2.65 billion in 2024, and is projected to grow at a robust CAGR of 10.2% during the forecast period, reaching an estimated USD 6.23 billion by 2033. The market’s expansion is primarily fueled by the increasing need for efficient infrastructure management, the proliferation of smart grid initiatives, and the growing adoption of digital mapping technologies across electric, water, gas, and telecommunication utilities. As per our latest research, the surge in infrastructure modernization projects globally and the integration of advanced geospatial analytics into utility operations are key factors propelling this market forward.

One of the principal growth drivers of the Utility GIS market is the escalating demand for real-time asset and network management within utility sectors. As utilities face mounting pressure to optimize resource allocation and reduce operational costs, Geographic Information Systems (GIS) have become indispensable tools for visualizing, analyzing, and managing spatial data. Utilities are leveraging GIS platforms to monitor asset health, track outages, and streamline maintenance activities, which enhances service reliability and minimizes downtime. The ability of GIS to integrate with other enterprise systems, such as SCADA and ERP, further amplifies its value proposition, driving widespread adoption across both developed and emerging markets.

Another significant factor contributing to market growth is the global trend towards smart grid and infrastructure modernization. Governments and private sector entities are investing heavily in digital solutions that support sustainable urban development and resilient utility networks. GIS technologies play a crucial role in planning, monitoring, and optimizing smart grids by providing real-time geospatial intelligence. This enables utilities to improve disaster response, forecast demand, and manage distributed energy resources more effectively. Furthermore, the integration of GIS with IoT devices and cloud computing is enabling more scalable and flexible solutions, which is particularly attractive for utilities looking to future-proof their operations.

The rising focus on regulatory compliance and environmental sustainability is also catalyzing the adoption of Utility GIS solutions. Regulatory bodies worldwide are mandating stricter reporting and transparency standards for utility operations, especially in areas related to environmental impact and resource usage. GIS platforms enable utilities to track compliance metrics, monitor environmental risks, and generate detailed reports with spatial context. This not only helps utilities meet regulatory requirements but also supports their sustainability goals by identifying areas for efficiency improvements and resource conservation. The growing emphasis on reducing carbon footprints and enhancing water and energy conservation further underscores the strategic importance of GIS in the utility sector.

Regionally, North America continues to dominate the Utility GIS market, owing to its advanced utility infrastructure, high adoption of smart technologies, and supportive regulatory frameworks. However, Asia Pacific is emerging as the fastest-growing region, driven by rapid urbanization, significant investments in utility modernization, and increasing government initiatives to improve infrastructure resilience. Europe is also witnessing steady growth due to stringent environmental regulations and the ongoing transition towards renewable energy sources. Latin America and the Middle East & Africa are gradually catching up, supported by infrastructure development projects and the need for efficient utility management in resource-constrained environments.

Component Analysis

The Component segment of the Utility GIS market is broadly categorized into Software, Services, and Hardware. Software remains the largest contributor to market reve

Utility GIS Field Data Collection Market Outlook

According to our latest research, the Global Utility GIS Field Data Collection market size was valued at $1.4 billion in 2024 and is projected to reach $3.1 billion by 2033, expanding at a robust CAGR of 9.3% during the forecast period of 2025–2033. The significant growth in this market is primarily driven by the increasing adoption of advanced geospatial technologies by utility companies seeking to modernize their infrastructure and enhance operational efficiency. The proliferation of smart grids, the growing need for real-time asset monitoring, and the integration of IoT devices have collectively intensified the demand for precise, field-based GIS data collection solutions. This market is further propelled by regulatory mandates emphasizing infrastructure resilience and digital transformation initiatives across the utilities sector, making GIS field data collection systems indispensable for asset management, network mapping, and operational optimization.

Regional Outlook

North America holds the largest share of the global Utility GIS Field Data Collection market, accounting for nearly 38% of the total market value in 2024. This dominance is underpinned by the region’s mature utility infrastructure, widespread digitalization, and early adoption of GIS technologies. The United States, in particular, has invested heavily in upgrading aging utility networks and deploying smart grid solutions, which has necessitated sophisticated GIS field data collection tools. Additionally, favorable regulatory frameworks and a strong presence of leading GIS software providers have accelerated technology uptake. The emphasis on disaster management, grid reliability, and environmental compliance further amplifies the demand for advanced GIS field data collection systems in North America.

In contrast, Asia Pacific emerges as the fastest-growing region, projected to register an impressive CAGR of 12.1% over the forecast period. The rapid urbanization, expanding utility networks, and significant government investments in infrastructure modernization across China, India, and Southeast Asia are pivotal growth drivers. These economies are leveraging GIS field data collection to support mega infrastructure projects, rural electrification, and efficient resource management. The increasing penetration of cloud-based GIS solutions and mobile data collection apps is enabling utilities in Asia Pacific to overcome legacy system limitations, optimize field operations, and improve service delivery. As a result, the region is witnessing a surge in both public and private sector investments aimed at digitalizing utility asset management.

Meanwhile, emerging economies in Latin America and Middle East & Africa are gradually adopting Utility GIS Field Data Collection technologies, albeit at a slower pace due to budget constraints, skills shortages, and infrastructural challenges. These regions face unique hurdles such as fragmented utility networks, inconsistent regulatory support, and limited access to advanced geospatial tools. However, localized demand is rising as governments and utility operators recognize the value of GIS in reducing losses, improving maintenance cycles, and supporting sustainable resource management. International aid programs, technology transfer initiatives, and growing awareness of digital transformation benefits are expected to accelerate adoption in these regions over the next decade.

Report Scope

In 2012, the CPUC ordered the development of a statewide map that is designed specifically for the purpose of identifying areas where there is an increased risk for utility associated wildfires. The development of the CPUC -sponsored fire-threat map, herein "CPUC Fire-Threat Map," started in R.08-11-005 and continued in R.15-05-006.

A multistep process was used to develop the statewide CPUC Fire-Threat Map. The first step was to develop Fire Map 1 (FM 1), an agnostic map which depicts areas of California where there is an elevated hazard for the ignition and rapid spread of powerline fires due to strong winds, abundant dry vegetation, and other environmental conditions. These are the environmental conditions associated with the catastrophic powerline fires that burned 334 square miles of Southern California in October 2007. FM 1 was developed by CAL FIRE and adopted by the CPUC in Decision 16-05-036.

FM 1 served as the foundation for the development of the final CPUC Fire-Threat Map. The CPUC Fire-Threat Map delineates, in part, the boundaries of a new High Fire-Threat District (HFTD) where utility infrastructure and operations will be subject to stricter fire‑safety regulations. Importantly, the CPUC Fire-Threat Map (1) incorporates the fire hazards associated with historical powerline wildfires besides the October 2007 fires in Southern California (e.g., the Butte Fire that burned 71,000 acres in Amador and Calaveras Counties in September 2015), and (2) ranks fire-threat areas based on the risks that utility-associated wildfires pose to people and property.

Primary responsibility for the development of the CPUC Fire-Threat Map was delegated to a group of utility mapping experts known as the Peer Development Panel (PDP), with oversight from a team of independent experts known as the Independent Review Team (IRT). The members of the IRT were selected by CAL FIRE and CAL FIRE served as the Chair of the IRT. The development of CPUC Fire-Threat Map includes input from many stakeholders, including investor-owned and publicly owned electric utilities, communications infrastructure providers, public interest groups, and local public safety agencies.

The PDP served a draft statewide CPUC Fire-Threat Map on July 31, 2017, which was subsequently reviewed by the IRT. On October 2 and October 5, 2017, the PDP filed an Initial CPUC Fire-Threat Map that reflected the results of the IRT's review through September 25, 2017. The final IRT-approved CPUC Fire-Threat Map was filed on November 17, 2017. On November 21, 2017, SED filed on behalf of the IRT a summary report detailing the production of the CPUC Fire-Threat Map(referenced at the time as Fire Map 2). Interested parties were provided opportunity to submit alternate maps, written comments on the IRT-approved map and alternate maps (if any), and motions for Evidentiary Hearings. No motions for Evidentiary Hearings or alternate map proposals were received. As such, on January 19, 2018 the CPUC adopted, via Safety and Enforcement Division's (SED) disposition of a Tier 1 Advice Letter, the final CPUC Fire-Threat Map.

Additional information can be found here.

The Cumberland County GIS Data Viewer provides the general public with parcel, zoning, hydrology, soils, utilities and topographic data. You can search for a specific address, street name, parcel number (PIN), or by the owner's name.

Equipment GIS Mapping for Facilities Market Outlook

According to our latest research, the Global Equipment GIS Mapping for Facilities market size was valued at $1.6 billion in 2024 and is projected to reach $4.3 billion by 2033, expanding at a CAGR of 11.5% during 2024–2033. The primary factor fueling this robust growth is the increasing demand for advanced geospatial analytics across facility management sectors, driven by the need for real-time asset tracking, efficient resource allocation, and predictive maintenance capabilities. Organizations across industries are realizing the value of integrating Geographic Information Systems (GIS) with facility equipment mapping to optimize operational workflows, reduce downtime, and enhance decision-making. This market is also witnessing accelerated adoption due to digital transformation initiatives and the growing reliance on data-driven insights for managing complex facility infrastructures globally.

Regional Outlook

North America currently holds the largest share of the Equipment GIS Mapping for Facilities market, accounting for approximately 38% of global revenue in 2024. The region’s dominance is attributed to its mature technology landscape, widespread adoption of advanced facility management solutions, and strong presence of leading GIS software vendors. Regulatory mandates for safety, sustainability, and asset transparency in sectors such as healthcare, education, and utilities further amplify the demand for GIS mapping technologies. Additionally, substantial investments in smart building solutions and the integration of IoT with GIS platforms have positioned North America as a pioneer in this space. The region benefits from robust IT infrastructure, high digital literacy, and supportive public policies, all of which contribute to rapid market expansion and innovation.

The Asia Pacific region is expected to witness the fastest growth in the Equipment GIS Mapping for Facilities market, with a projected CAGR of 14.2% from 2024 to 2033. This growth is primarily driven by rapid urbanization, infrastructure modernization projects, and increased government focus on smart city initiatives. Countries such as China, India, Japan, and South Korea are investing heavily in digital infrastructure and public utilities, driving the adoption of GIS-based facility mapping solutions. The proliferation of cloud-based GIS platforms and mobile mapping applications is making these technologies more accessible to a broader range of end-users. Furthermore, rising awareness of the operational efficiencies and cost savings offered by GIS mapping is encouraging both public and private sector organizations to invest in these solutions, fueling robust regional growth.

Emerging economies in Latin America and the Middle East & Africa are gradually embracing Equipment GIS Mapping for Facilities, albeit at a slower pace due to infrastructural and economic constraints. Adoption in these regions is often hampered by limited access to advanced IT infrastructure, budgetary limitations, and a shortage of skilled GIS professionals. However, localized demand is increasing, particularly in sectors such as utilities, transportation, and government, where the need for efficient asset management and infrastructure planning is critical. Policy reforms, international aid, and public-private partnerships are beginning to address these challenges, creating new opportunities for market penetration. As digital transformation accelerates and awareness of GIS benefits grows, these regions are expected to contribute more significantly to the global market in the coming years.

Report Scope

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

Energy and utilities data from the Alaska Energy Authority, Alaska Energy Data Gateway. Includes: - Hydroelectric - Hydrokinetic - Wind Power - Thermal Areas - Hot Springs - Sawmills - Energy Regions - Electric Utility Lines - TAPS Pipeline - Volanoes and Vents - Solar PowerSource: Alaska Energy AuthorityThis data is provided as a service in the DCRA Information Portal by the Alaska Department of Commerce, Community, and Economic Development Division of Community and Regional Affairs (SOA DCCED DCRA), Research and Analysis section. SOA DCCED DCRA Research and Analysis is not the authoritative source for this data. For more information and for questions about this data, see: Alaska Energy Data Gateway

The Streetlights (SDGE) layer offers a comprehensive representation of streetlights managed by SDGE within the City of La Mesa. This dataset consolidates essential information, such as Lamp Type, Wattage, Pole Type, Billing Type, and Energy Consumption, to facilitate informed decision-making. Key fields include unique identifiers like the SDGE Streetlight Number and Pole Number, operational data like Light Status and Inspection Dates, and geographical details such as Cross Streets and Zones.Users can explore lifecycle stages, service descriptions, and warranty information to ensure efficient asset management. The layer also highlights maintenance history and energy usage metrics, aiding in cost analysis and operational optimization. Designed for city planners, engineers, and utility managers, this dataset provides a vital tool for maintaining a sustainable and well-lit urban environment.