The global field data collection software market is experiencing robust growth, driven by the increasing need for efficient data management across diverse sectors. The market's expansion is fueled by several key factors: the rising adoption of mobile technologies and cloud-based solutions for improved data accessibility and real-time analysis; the increasing demand for automation in data collection processes to reduce manual errors and improve productivity; and the growing emphasis on data-driven decision-making across industries such as construction, environmental monitoring, and oil and gas. This shift towards digitalization is transforming traditional fieldwork practices, leading to enhanced accuracy, reduced operational costs, and improved overall efficiency. We estimate the market size in 2025 to be approximately $2.5 billion, with a Compound Annual Growth Rate (CAGR) of 15% projected through 2033. This growth is expected to be further fueled by advancements in AI and machine learning, which enhance data analysis capabilities and provide valuable insights from collected field data. While challenges remain, including concerns regarding data security and integration with existing systems, the overall market outlook remains positive, with significant opportunities for software vendors and service providers. The market segmentation reveals significant opportunities across various applications and deployment types. The cloud-based segment is experiencing the fastest growth, driven by its scalability, accessibility, and cost-effectiveness. The construction, environmental monitoring, and oil and gas sectors are major consumers of field data collection software, demonstrating a strong demand for solutions that streamline workflows, enhance safety protocols, and optimize resource allocation. Geographic analysis suggests North America and Europe are currently the largest markets, although the Asia-Pacific region is expected to witness substantial growth in the coming years due to increasing infrastructure development and industrialization. The competitive landscape is dynamic, with both established players and emerging startups offering specialized solutions. The success of these companies hinges on their ability to provide robust, user-friendly software with strong integration capabilities and advanced analytical features.

GIS Data Collector Market Outlook

The global GIS Data Collector market size is anticipated to grow from USD 4.5 billion in 2023 to approximately USD 12.3 billion by 2032, at a compound annual growth rate (CAGR) of 11.6%. The growth of this market is largely driven by the increasing adoption of GIS technology across various industries, advances in technology, and the need for effective spatial data management.

An important factor contributing to the growth of the GIS Data Collector market is the rising demand for geospatial information across different sectors such as agriculture, construction, and transportation. The integration of advanced technologies like IoT and AI with GIS systems enables the collection and analysis of real-time data, which is crucial for effective decision-making. The increasing awareness about the benefits of GIS technology and the growing need for efficient land management are also fuelling market growth.

The government sector plays a significant role in the expansion of the GIS Data Collector market. Governments worldwide are investing heavily in GIS technology for urban planning, disaster management, and environmental monitoring. These investments are driven by the need for accurate and timely spatial data to address critical issues such as climate change, urbanization, and resource management. Moreover, regulatory policies mandating the use of GIS technology for infrastructure development and environmental conservation are further propelling market growth.

Another major growth factor in the GIS Data Collector market is the continuous technological advancements in GIS software and hardware. The development of user-friendly and cost-effective GIS solutions has made it easier for organizations to adopt and integrate GIS technology into their operations. Additionally, the proliferation of mobile GIS applications has enabled field data collection in remote areas, thus expanding the scope of GIS technology. The advent of cloud computing has further revolutionized the GIS market by offering scalable and flexible solutions for spatial data management.

Regionally, North America holds the largest share of the GIS Data Collector market, driven by the presence of key market players, advanced technological infrastructure, and high adoption rates of GIS technology across various industries. However, the Asia Pacific region is expected to witness the highest growth rate during the forecast period, primarily due to rapid urbanization, government initiatives promoting GIS adoption, and increasing investments in smart city projects. Other regions such as Europe, Latin America, and the Middle East & Africa are also experiencing significant growth in the GIS Data Collector market, thanks to increasing awareness and adoption of GIS technology.

The role of a GPS Field Controller is becoming increasingly pivotal in the GIS Data Collector market. These devices are essential for ensuring that data collected in the field is accurate and reliable. By providing real-time positioning data, GPS Field Controllers enable precise mapping and spatial analysis, which are critical for applications such as urban planning, agriculture, and transportation. The integration of GPS technology with GIS systems allows for seamless data synchronization and enhances the efficiency of data collection processes. As the demand for real-time spatial data continues to grow, the importance of GPS Field Controllers in the GIS ecosystem is expected to rise, driving further innovations and advancements in this segment.

Component Analysis

The GIS Data Collector market is segmented by component into hardware, software, and services. Each of these components plays a crucial role in the overall functionality and effectiveness of GIS systems. The hardware segment includes devices such as GPS units, laser rangefinders, and mobile GIS devices used for field data collection. The software segment encompasses various GIS applications and platforms used for data analysis, mapping, and visualization. The services segment includes consulting, training, maintenance, and support services provided by GIS vendors and solution providers.

In the hardware segment, the demand for advanced GPS units and mobile GIS devices is increasing, driven by the need for accurate and real-time spatial data collection. These devices are equipped with high-precision sensors and advanced features such as real-time kinematic (RTK) positioning, which enhance

The global market for GIS Collectors is experiencing robust growth, driven by increasing adoption of location-based services, the expanding need for precise geospatial data across various sectors, and the continuous advancements in mobile technology and data analytics capabilities. The market is segmented by hardware (handheld devices, tablets, drones) and software (field data collection apps, data management software). Key players like Hexagon, Trimble Geospatial, ESRI, Topcon, Handheld, and Wuhan South are actively innovating and expanding their product portfolios to cater to this growing demand. The market's expansion is further fueled by the rising need for efficient asset management, improved infrastructure planning, and precise mapping for various applications such as environmental monitoring, agriculture, and urban planning. Government initiatives promoting digitalization and smart city development are also contributing significantly to the market's growth trajectory. While high initial investment costs for hardware and software can act as a restraint, the long-term benefits in terms of operational efficiency and data accuracy are overcoming this challenge. We project a steady market growth over the forecast period, with a particular emphasis on the increasing penetration of cloud-based solutions and the integration of AI and machine learning for enhanced data processing and analysis. The period between 2019 and 2024 showed significant market expansion, setting a strong foundation for future growth. We estimate the market size in 2025 at $5 billion, based on observed trends and industry reports. This strong base, coupled with a projected Compound Annual Growth Rate (CAGR) of 12%, will drive considerable market expansion throughout the forecast period (2025-2033). The increasing demand across diverse sectors, from precision agriculture to utility management, will continue to be major drivers. Furthermore, the emergence of new technologies such as 5G and IoT will further enhance data collection and processing capabilities, leading to improved efficiencies and a further expansion of the market. The North American and European markets currently hold a significant share, but emerging economies in Asia-Pacific and Latin America are exhibiting accelerated growth potential, making them crucial regions for future expansion.

Portable Data Collector Market Outlook

The global portable data collector market size was valued at approximately USD 2.5 billion in 2023 and is projected to reach USD 4.8 billion by 2032, growing at a compound annual growth rate (CAGR) of 7.1% over the forecast period. The growth of this market is primarily driven by the increasing demand for real-time data capture and analysis across various industries. Advancements in technology, such as the integration of IoT and AI, are further propelling the market by enhancing the functionality and efficiency of portable data collectors.

One of the key growth factors for the portable data collector market is the rising need for automation in data collection and processing tasks. Industries such as retail, healthcare, and logistics are increasingly adopting portable data collectors to streamline operations, reduce human errors, and improve overall productivity. These devices enable quick and accurate data capture, which is crucial for inventory management, patient tracking, and supply chain optimization. Additionally, the growing trend of digital transformation across enterprises is encouraging the adoption of advanced data collection solutions.

Another significant factor contributing to the market's growth is the increasing penetration of mobile and wearable technology. The proliferation of smartphones and wearable devices equipped with advanced sensors and connectivity options has made it easier for businesses to deploy portable data collection solutions. These devices offer the flexibility to collect data from remote locations and in real-time, enhancing decision-making processes. Moreover, the integration of cloud computing with portable data collectors allows for seamless data storage and access, further boosting their adoption.

Furthermore, regulatory requirements and standards for data accuracy and security are driving the demand for portable data collectors. Industries such as healthcare and BFSI (Banking, Financial Services, and Insurance) are subject to stringent regulations that mandate precise data capture and secure handling of sensitive information. Portable data collectors equipped with advanced encryption and authentication features are becoming essential tools to comply with such regulations. This trend is expected to continue, further fueling market growth.

From a regional perspective, North America is anticipated to dominate the portable data collector market owing to its advanced technological infrastructure and high adoption rate of innovative solutions. The presence of major market players and the growing emphasis on automation and digitalization in sectors like retail and healthcare are key factors driving the market in this region. Meanwhile, the Asia Pacific region is expected to witness significant growth, attributed to the rapid industrialization and increasing investments in technology by emerging economies like China and India.

Product Type Analysis

The portable data collector market can be segmented by product type into handheld data collectors, wearable data collectors, and mobile data collectors. Handheld data collectors are expected to hold a significant market share, driven by their versatility and ease of use. These devices are widely used in retail, logistics, and healthcare for various applications such as inventory management, asset tracking, and patient care. The robust design and advanced features like barcode scanning and RFID capabilities make handheld data collectors a preferred choice for many industries.

Wearable data collectors are gaining traction due to the increasing adoption of wearable technology in sectors like healthcare and manufacturing. These devices offer hands-free operation, which is particularly beneficial in environments where manual data entry is impractical or hazardous. Wearable data collectors equipped with advanced sensors can monitor and collect data on various parameters such as heart rate, temperature, and movement, making them invaluable in medical and industrial applications. The integration of IoT in wearable data collectors is expected to further enhance their functionality and adoption.

Mobile data collectors, which include smartphones and tablets equipped with data collection apps, are also witnessing substantial growth. The widespread availability of mobile devices and the development of specialized data collection software have made mobile data collectors a cost-effective and flexible solution for businesses. These devices are particularly popular in field data collection activities, where portability a

City of Phoenix Public Works Solid Waste Field Services (SWFS) data collection application used to collect inventory information for SWFS collection bins located in alleys. This layer is currently only partially complete.

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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 dataset is comprised of urban soil physical, chemical characteristics for soils assessed in Detroit MI. These data are related to ecosystem services.

This dataset collection contains information about irrigated fields and horticultural areas in various regions. The data is sourced from the website of Luke (Natural Resources Institute Finland) in Finland.

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.

Learn about all the data collection operations for the 2021 National Survey on Drug Use and Health (NSDUH). The report details the sampling, counting, and listing operations; preparation of survey materials; field staffing; data collection (both in-person and web); and quality control practices. It also includes information on the results of data collection, including detailed response rates.

All data displayed on this map is near real-time. There are two ways in which this happens: Web service based data and a mobile mapping application called Field Maps. Web services are updated regularly ranging from every minute to once a month. All web services in this map are refreshed automatically to ensure the latest data being provided is displayed. Data collected through the use of Field Maps is done so by firefighters on the ground. The Field Maps application is consuming, creating, and editing data that are stored in ArcGIS Online. These data are then fed directly in to this map. To learn more about these web mapping technologies, visit the links below:Web ServicesArcGIS Field MapsArcGIS OnlineWeb Services used in this map:(visit link to learn more about each service)IRWIN - A central hub that orchestrates data between various fire reporting applications. When a new incident is created and/or updated by a dispatch center or other fire reporting system, it is then displayed on the map using the Integrated Reporting of Wildland-Fire Information (IRWIN) service. Automatically refreshes every five minutes:Fires by Cause - Any incident that has occurred year to date displayed by cause.ArcGIS Online/Field Maps - Part of the Esri Geospatial Cloud, ArcGIS Online and Collector enables firefighters to use web maps created in ArcGIS Online on mobile devices using the Collector application to capture and edit data on the fireline. Data may be captured and edited in both connected and disconnected environments. When data is submitted back to the web service in ArcGIS Online, it is then checked for accuracy and approved for public viewing.Fire Perimeter - Must be set to 'Approved' and 'Public' to be displayed on the map. Automatically refreshes every five minutes.

Type of medical domain attacked (n = 200).

Yield estimation and prediction at field level. Public dataset.

Abstract

The Service Delivery Indicators (SDI) are a set of health and education indicators that examine the effort and ability of staff and the availability of key inputs and resources that contribute to a functioning school or health facility. The indicators are standardized allowing comparison between nations and across subnational boundaries over time.

The Education SDIs include teacher effort, teacher knowledge and ability, and the availability of key inputs (for example, textbooks, basic teaching equipment, infrastructure). The indicators provide a snapshot of the learning environment and key resources, which need to be in place for students to learn.

Togo Service Delivery Indicators Education Survey was implemented in May-June 2013 by Togo's Ministry of Education’s National Evaluation Commission (Commission nationale d’évaluation; CNE) in close coordination with the World Bank SDI team. Data collection and processing was carried out by a team of consultants managed by TIMS Services. Information was collected from 200 primary schools, 1,141 teachers, and 1,938 grade four students.

Geographic coverage

National

Analysis unit

Schools, teachers and students

Universe

All primary schools

Kind of data

Sample survey data [ssd]

Sampling procedure

The SDI indicators draw information from a stratified random sample of 200 schools, comprised of 148 public, 28 faith‐based, and 24 private non‐denominational schools. This sample provides a representative snapshot of the learning environment in both public and private schools. The details on the sampling procedure are in Annex 1 of the SDI Report under the Resources tab. The education work was implemented as part of the ongoing work with the Government of Togo on improving educational quality and development of the Ministry of Education’s capacity to produce, analyze, and use statistical information for policy formulation and evaluation. The standard SDI survey instruments were adapted to the Togolese context through a participatory process involving technical discussions, training, and piloting with the Ministry of Education’s National (Education) Evaluation Commission (Commission nationale d’évaluation; CNE).

The education survey was also coordinated with the Global Partnership for Education (GPE) project’s PASEC‐inspired survey. A single team that undertook both surveys went to each school and the supervisors were from the CNE. The survey was implemented by the CNE with support and supervision from the World Bank’s Service Delivery Indicators (SDI) team.

The sample of schools used in the SDI survey was the same as the PASEC‐inspired survey. The sample chosen closely reflects the distribution of school usage across facility types and poverty status. In total, 200 primary schools, of which 74 percent were public schools and the remaining 26 percent either private for‐profit or private not‐for‐profit schools. The survey assessed the knowledge of 831 primary school teachers, surveyed 1,141 teachers as part of the study of the absence rate, and observed 192 grade four lessons. In addition, learning outcomes were measured for 1,938 grade four pupils. Survey implementation was preceded by extensive consultation with Government and key stakeholders on survey design, sampling, and adaptation of survey instruments. Pre‐testing of the survey instruments, training of field staff, and field‐work took place in 2013.

Mode of data collection

Face-to-face [f2f]

Research instrument

The SDI Education Survey Questionnaire consists of six modules:

Module 1: School Information - Administered to the head of the school to collect information about school type, facilities, school governance, pupil numbers, and school hours. Includes direct observations of school infrastructure by enumerators.

Module 2a: Teacher Absence and Information - Administered to head teacher and individual teachers to obtain a list of all school teachers, to measure teacher absence and to collect information about teacher characteristics.

Module 2b: Teacher Absence and Information - Unannounced visit to the school to assess absence rate.

Module 3: School Finances - Administered to the headteacher (or Director, in the case of Togo) to collect information on school finances (this data is not included with the dissemination package).

Module 4: Classroom Observation - An observation module to assess teaching activities and classroom conditions.

Module 5: Pupil Assessment - A test of pupils to have a measure of pupil learning outcomes in mathematics and language in grade four.

Module 6: Teacher Assessment - A test of teachers covering mathematics and language subject knowledge and teaching skills.

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GIS Market Size 2025-2029

The GIS market size is forecast to increase by USD 24.07 billion, at a CAGR of 20.3% between 2024 and 2029.

The Global Geographic Information System (GIS) market is experiencing significant growth, driven by the increasing integration of Building Information Modeling (BIM) and GIS technologies. This convergence enables more effective spatial analysis and decision-making in various industries, particularly in soil and water management. However, the market faces challenges, including the lack of comprehensive planning and preparation leading to implementation failures of GIS solutions. Companies must address these challenges by investing in thorough project planning and collaboration between GIS and BIM teams to ensure successful implementation and maximize the potential benefits of these advanced technologies.
By focusing on strategic planning and effective implementation, organizations can capitalize on the opportunities presented by the growing adoption of GIS and BIM technologies, ultimately driving operational efficiency and innovation.

What will be the Size of the GIS 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.
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The global Geographic Information Systems (GIS) market continues to evolve, driven by the increasing demand for advanced spatial data analysis and management solutions. GIS technology is finding applications across various sectors, including natural resource management, urban planning, and infrastructure management. The integration of Bing Maps, terrain analysis, vector data, Lidar data, and Geographic Information Systems enables precise spatial data analysis and modeling. Hydrological modeling, spatial statistics, spatial indexing, and route optimization are essential components of GIS, providing valuable insights for sectors such as public safety, transportation planning, and precision agriculture. Location-based services and data visualization further enhance the utility of GIS, enabling real-time mapping and spatial analysis.

The ongoing development of OGC standards, spatial data infrastructure, and mapping APIs continues to expand the capabilities of GIS, making it an indispensable tool for managing and analyzing geospatial data. The continuous unfolding of market activities and evolving patterns in the market reflect the dynamic nature of this technology and its applications.

How is this GIS Industry segmented?

The GIS 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.

Product

  Software
  Data
  Services


Type

  Telematics and navigation
  Mapping
  Surveying
  Location-based services


Device

  Desktop
  Mobile


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    UK


  Middle East and Africa

    UAE


  APAC

    China
    Japan
    South Korea


  South America

    Brazil


  Rest of World (ROW)

By Product Insights

The software segment is estimated to witness significant growth during the forecast period.

The Global Geographic Information System (GIS) market encompasses a range of applications and technologies, including raster data, urban planning, geospatial data, geocoding APIs, GIS services, routing APIs, aerial photography, satellite imagery, GIS software, geospatial analytics, public safety, field data collection, transportation planning, precision agriculture, OGC standards, location intelligence, remote sensing, asset management, network analysis, spatial analysis, infrastructure management, spatial data standards, disaster management, environmental monitoring, spatial modeling, coordinate systems, spatial overlay, real-time mapping, mapping APIs, spatial join, mapping applications, smart cities, spatial data infrastructure, map projections, spatial databases, natural resource management, Bing Maps, terrain analysis, vector data, Lidar data, and geographic information systems.

The software segment includes desktop, mobile, cloud, and server solutions. Open-source GIS software, with its industry-specific offerings, poses a challenge to the market, while the adoption of cloud-based GIS software represents an emerging trend. However, the lack of standardization and interoperability issues hinder the widespread adoption of cloud-based solutions. Applications in sectors like public safety, transportation planning, and precision agriculture are driving market growth. Additionally, advancements in technologies like remote sensing, spatial modeling, and real-time mapping are expanding the market's scope.

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The Software segment was valued at USD 5.06 billion in 2019 and sho

The global environmental field sampling services market is projected to exhibit substantial growth in the coming years, driven by stringent regulatory frameworks, increasing environmental concerns, and rising investments in environmental protection measures. The market was valued at USD 23.81 billion in 2023 and is anticipated to grow at a CAGR of 7.6% from 2024 to 2033. This growth is primarily attributed to the growing awareness of environmental pollution and the need for comprehensive environmental monitoring and sampling services. Key trends in the market include increasing adoption of advanced technologies such as drones and remote sensing for data collection, rising demand for real-time monitoring, and a growing focus on sustainability and green practices. The market is segmented based on type (surface water sampling, groundwater monitoring and sampling, rainwater sampling, sludge sampling, others) and application (industrial, environmental industry, others). Major players in the market include Stuart Wells Limited, EST Associates, Inc., Chemserve, Curren Environmental, Inc., and Eurofins Scientific, among others. Geographically, North America is expected to hold the dominant market share, followed by Europe and Asia Pacific.

Field Service Management Market Outlook

According to our latest research, the global field service management market size reached USD 4.35 billion in 2024, reflecting robust adoption across industries. The market is anticipated to grow at a CAGR of 13.6% from 2025 to 2033, reaching a forecasted value of USD 13.25 billion by 2033. This remarkable growth is primarily driven by the increasing need for operational efficiency, the rapid adoption of digital transformation initiatives, and the rising demand for real-time visibility into field operations. As organizations worldwide strive to enhance customer satisfaction and streamline their service delivery, the field service management market is poised for significant expansion over the next decade.

One of the primary growth factors fueling the field service management market is the escalating demand for automation and digitalization in service operations. Companies are increasingly recognizing the value of automating work order scheduling, dispatching, and route optimization, which leads to reduced operational costs and improved resource utilization. The integration of advanced technologies such as artificial intelligence, machine learning, and the Internet of Things (IoT) into field service management solutions enables organizations to predict equipment failures, proactively schedule maintenance, and enhance first-time fix rates. As a result, businesses can minimize downtime, extend asset lifecycles, and deliver superior customer experiences, all of which contribute to the growing adoption of field service management platforms across various sectors.

Another significant growth driver is the surge in mobile workforce and the proliferation of smart devices. With field technicians increasingly relying on mobile devices to access real-time information, update job statuses, and communicate with back-office teams, mobile field execution has become a critical component of modern field service management. The widespread use of smartphones and tablets empowers field personnel to resolve customer issues more efficiently, capture data on the go, and provide instant feedback, thereby improving productivity and service quality. Additionally, mobile applications facilitate seamless communication and collaboration among teams, further accelerating the adoption of field service management solutions in industries such as manufacturing, energy, utilities, and healthcare.

The growing emphasis on customer-centric service delivery is also propelling the field service management market forward. Organizations are increasingly prioritizing customer satisfaction as a key differentiator in competitive markets. Field service management solutions enable businesses to offer personalized services, provide accurate arrival times, and ensure timely resolution of customer issues. Advanced analytics and reporting capabilities allow companies to track key performance indicators, monitor technician performance, and identify areas for improvement. By leveraging these insights, organizations can enhance service quality, build long-term customer relationships, and gain a competitive edge in their respective industries.

From a regional perspective, North America continues to dominate the field service management market, accounting for the largest revenue share in 2024. The region's leadership is attributed to the early adoption of advanced technologies, a mature IT infrastructure, and the presence of major industry players. Europe follows closely, driven by stringent regulatory requirements and the increasing focus on sustainability and efficiency. Meanwhile, the Asia Pacific region is witnessing the fastest growth, fueled by rapid industrialization, urbanization, and the rising adoption of cloud-based solutions among small and medium enterprises. Latin America and the Middle East & Africa are also experiencing steady growth, supported by digital transformation initiatives and the expansion of service industries.

Component Analysis

The field service management market

Field Service Mobile Apps Market Outlook

The global field service mobile apps market size was valued at approximately USD 3 billion in 2023 and is anticipated to reach around USD 7.2 billion by 2032, exhibiting a compound annual growth rate (CAGR) of 10.2% during the forecast period. This impressive growth trajectory is fueled primarily by the increasing demand for enhanced operational efficiency and customer satisfaction in field services industries. The adoption of advanced mobile solutions in field services is reshaping traditional business operations, making them more agile, responsive, and customer-centric. As industries such as manufacturing, construction, and utilities increasingly lean on digital transformation strategies, the need for robust mobile applications that streamline field operations is more critical than ever.

One of the primary growth factors driving the field service mobile apps market is the increasing demand for real-time communication and data sharing between field workers and back-office operations. With the proliferation of mobile devices and the integration of IoT technology, field service personnel can now access and share critical information instantaneously, reducing downtime and improving service delivery. Moreover, the emphasis on customer satisfaction and the need for immediate issue resolution have pushed companies to adopt mobile solutions that empower field agents with the tools necessary to deliver superior service. This shift not only enhances the efficiency of field operations but also bolsters the overall customer experience.

Another significant driver is the growing trend towards automation and data-driven decision-making in field services. Field service mobile apps enable businesses to automate scheduling, dispatching, and work order management processes, thus minimizing manual errors and optimizing resource allocation. Additionally, these apps facilitate the collection and analysis of large volumes of field data, providing businesses with valuable insights to improve operational strategies and predict future trends. As industries continue to recognize the benefits of digital solutions, the integration of AI and machine learning into mobile apps is expected to further boost market growth, offering predictive maintenance and advanced analytics capabilities.

The rising demand for cost-effective and scalable solutions among small and medium enterprises (SMEs) is also contributing significantly to the marketÂ’s expansion. SMEs, which often face budget constraints and resource limitations, find mobile apps an attractive option due to their affordability and ability to scale with business growth. These apps offer SMEs the flexibility to manage field operations efficiently, reduce operational costs, and improve service quality, thereby leveling the playing field with larger competitors. As more SMEs embrace digital transformation, the field service mobile apps market is set to witness substantial growth in the coming years.

Field Service Management (FSM) Software plays a crucial role in enhancing the capabilities of field service mobile apps. By integrating FSM software, businesses can achieve seamless coordination between field operations and back-office processes. This integration allows for real-time tracking of field activities, efficient scheduling, and resource allocation, which are essential for maintaining high levels of service quality. FSM software also supports the automation of routine tasks, reducing the administrative burden on field personnel and enabling them to focus on delivering exceptional customer service. As the demand for comprehensive field service solutions grows, the incorporation of FSM software into mobile apps is becoming increasingly vital for businesses looking to optimize their field operations and achieve a competitive edge.

Regionally, North America holds the largest market share in the field service mobile apps market, driven by the early adoption of advanced technologies and a strong focus on enhancing customer satisfaction. The presence of major players and a well-established IT infrastructure further bolster the market in this region. Meanwhile, the Asia Pacific region is expected to exhibit the highest growth rate during the forecast period, owing to rapid industrialization, increasing smartphone penetration, and a growing focus on digital transformation across various sectors. As these regions continue to invest in digital solutions, the demand for field service mobile apps is poised to rise, offering lucrative opportunities for

Abstract

Service Availability Mapping (SAM) is a tool to collect and present basic information on health services: health infrastructure, human resources and services offered. Its main application is at the sub-national or Local Government level, where LGA health management teams can use the results of the SAM in conjunction with WHO's HealthMapper application, developed by the Public Health Mapping and GIS programme, to map and monitor health services. SAM is made up of a survey methodology, remote field data collection devices, and WHO's HealthMapper application

Geographic coverage

State

Analysis unit

Facility

Universe

Private non-profit facilities offering MCH, reproductive health or HIV/AIDS services Public facilities offering MCH, reproductive health or HIV/AIDS services

Kind of data

Clinical data [cli]

Sampling procedure

Six States (0ne from each of the six Geo-political zones in the country) and the Federal Capital Territory, Abuja were selected for the survey. The States covered are Kaduna (North West), Yobe (North East), Kwara (North Central), Lagos (South West), Ebonyi (South East) and Bayelsa (South South). Also Nassarawa was used for pilot is also included. All listed facilities in the selected states were covered

Sampling deviation

No deviation

Mode of data collection

Face-to-face [f2f]

Research instrument

Facility Questionnaire Overview :

Section 1: General characteristics, including infrastructure part of this questionnaire focuses on basis characteristics of the facility including the number of outpatients, inpatients and maternity beds available. It also asks about the availability of specific resources such as water, telephones and radios. Section 2: General purpose equipment section explores the availability of specific health-related resources. Section 3: Injection and sterilization equipment section asks about the main types of injection equipment used in this facility Section 4: Human resources section of the qustionnaire ask about the human resources available in the facility Section 5: Trained staff section asks about the number of staff in the facility that have received training in a number of specific interventions. Section 6: Drugs and commodities section of the questionnaire asks about the availability of specific drugs and commodities in the facilities. These are yes or no questions. Section 7: Lab tests section asks about the availability of epecific laboratory tests in the facility. We are interested in knowing what normal procedure is for laboratory tests. Section 8: Information on interventions available in the facility is that final section of the questionnaire that asks for information about some of the health interventions that may be offered in this facility

The respondents of this questionnaire are the facility directors and their teams. The questionnaire was developed in English.

Cleaning operations

Data editing was done to remove multiple data records and to clean outliers.

Response rate

100% of targeted health facilities responded in the state covered.

Sampling error estimates

No estimate for sampling error

Field Service Software Market Outlook

The global field service software market size was valued at approximately USD 3.5 billion in 2023 and is projected to surpass USD 8.2 billion by 2032, growing at a compound annual growth rate (CAGR) of 10.2% during the forecast period. This robust growth is driven by the increasing adoption of digital transformation initiatives across various industries, coupled with the need for efficient field operations management solutions. Organizations are consistently seeking ways to streamline operations, reduce costs, and enhance customer satisfaction, all of which are significant growth factors for the field service software market.

One of the primary growth factors for the field service software market is the rapid advancements in technology. The integration of technologies such as artificial intelligence (AI), the Internet of Things (IoT), and big data analytics into field service solutions has enabled organizations to enhance their operational efficiency and service delivery. AI-powered tools, for instance, can predict equipment failures before they occur, allowing for proactive maintenance, which reduces downtime and improves service quality. Similarly, IoT devices and sensors can collect real-time data from field operations, enabling better decision-making and resource management. These technological advancements are compelling more companies to invest in sophisticated field service software, driving market growth.

Another significant growth factor is the increasing demand for mobile field service solutions. With the proliferation of smartphones and mobile applications, field service providers are increasingly adopting mobile solutions to empower their field technicians. Mobile field service software allows technicians to access job details, customer information, and inventory status in real-time, regardless of their location. This mobility enhances the efficiency of field operations, reduces response times, and improves customer satisfaction. As a result, the adoption of mobile field service solutions is expected to accelerate, contributing to the overall growth of the field service software market.

The growing emphasis on customer experience is also fueling the demand for field service software. In todayÂ’s competitive business environment, providing exceptional customer service is crucial for retaining customers and gaining a competitive edge. Field service software enables organizations to deliver timely and efficient service, track the progress of service requests, and ensure that customer issues are resolved promptly. By leveraging these solutions, companies can enhance their customer service capabilities, leading to higher customer satisfaction and loyalty. This focus on customer experience is driving organizations across various industries to adopt advanced field service software solutions.

Field Force Automation is becoming an integral component of modern field service software solutions. By leveraging advanced automation tools, organizations can significantly streamline their field operations. These tools enable real-time communication between field technicians and the central office, ensuring that tasks are assigned efficiently and updates are communicated promptly. This automation reduces the reliance on manual processes, thereby minimizing errors and enhancing the accuracy of service delivery. Moreover, Field Force Automation facilitates better resource allocation by providing managers with insights into technician availability and job status. As a result, organizations can optimize their workforce management, leading to improved productivity and customer satisfaction.

From a regional perspective, the North American market holds a significant share in the field service software market, driven by the presence of major industry players and the high adoption rate of advanced technologies. Additionally, the region's strong focus on customer service and operational efficiency further propels the market growth. The Asia Pacific region is expected to witness the highest growth rate during the forecast period, attributed to the increasing investments in digital transformation initiatives and the growing demand for field service management solutions in emerging economies such as China and India. Europe also represents a substantial market share, driven by the regionÂ’s emphasis on technological advancements and the need for efficient field service operations.

Component Analysis

When segmented b