A Manitoba Infrastructure Capital Projects information Dashboard that shows new, approved, and continuing projects for the years 2021/2022. The dashboard is an interactive tool that gives location information on a map, project information in a list, and detailed information in a pop-up for any project included in the data. This dashboard displays information for Manitoba Infrastructure (MI) Projects. MI's Capital Projects are shown on an interactive map. Project summaries are listed in an interactive list. Project details are accessed through information boxes called popups. You will see a popup when you click on a project location. Popup Information Project Number: A unique ID assigned to a project by MI capital projects team. Highway Number: The highway where the project is located. Location Description: A detailed description of the project location. Project Length: A numerical distance length of the project. Project Type: A particular category assigned to the project depending on what type of work is assigned to the project. Project Status: Current phase of project Anticipated Start Date: The expected construction start date Anticipated Complete Date: The expected construction completion date Municipality Name: The name of the municipality where the project is located. The map and list can be filtered by highway number, project status, project type and municipality. The detailed information for MI capital projects is available here.

This is a sample of key infrastructure projects happening in Ontario. Projects will be added and updated on an ongoing basis.

The dataset includes:

• project name
• category
• geography
• status
• target completion date
• description
• result
• area
• region
• address
• postal code
• highway / transit line
• estimated budget
• funding sources

A Manitoba Infrastructure Capital Projects information Dashboard that shows new, approved, and continuing projects for the years 2021/2022. The dashboard is an interactive tool that gives location information on a map, project information in a list, and detailed information in a pop-up for any project included in the data. This dashboard displays information for Manitoba Infrastructure (MI) Projects. MI's Capital Projects are shown on an interactive map. Project summaries are listed in an interactive list. Project details are accessed through information boxes called popups. You will see a popup when you click on a project location. Popup Information Project Number: A unique ID assigned to a project by MI capital projects team. Highway Number: The highway where the project is located. Location Description: A detailed description of the project location. Project Length: A numerical distance length of the project. Project Type: A particular category assigned to the project depending on what type of work is assigned to the project. Project Status: Current phase of project Anticipated Start Date: The expected construction start date Anticipated Complete Date: The expected construction completion date Municipality Name: The name of the municipality where the project is located. The map and list can be filtered by highway number, project status, project type and municipality. The detailed information for MI capital projects is available here.

Location of Major Infrastructure, Resource, Oil and Gas Projects in Nunavut, Northwest Territories and Yukon. Data and maps for illustrative purposes only. Users understand that, although all efforts have been made to accurately and exhaustively compile, locate and classify projects, the authors do not guarantee the accuracy and/or the comprehensiveness of the data and assume no responsibility for errors or omissions. CanNor does not assume responsibility for errors or omissions. In support of this initiative, proponents and partners are encouraged to contact CanNor should they identify any errors or omissions.

Natural Resources Canada’s Major Projects Inventory published annually, provides a snapshot of major natural resource projects in Canada that are either currently under construction or are planned within the next 10 years. The inventory includes major projects that increase, extend or improve natural resource production in Canada, including new extraction projects, infrastructure projects, major processing facilities and large expansion projects. In addition, the inventory includes information on the value, timing and geographic location of projects. To be included in the inventory, projects in the energy and mining sectors must meet a minimum capital worth threshold of $50 million and electricity and forest sector projects must meet a threshold of $20 million. Also included in the inventory are clean energy and clean technology projects, which must meet a minimum capital worth threshold of $10 million. DISCLAIMER: Data is sourced from federal, provincial, and territorial databases, publicly accessible websites, and other sources, including CANOILS. Data and maps are for illustrative purposes only. Users understand that, although all efforts have been made to accurately and exhaustively compile, locate and classify projects, the authors do not guarantee the accuracy and/or the comprehensiveness of the data and assume no responsibility for errors or omissions. The routes of the proposed transmission lines and pipelines are approximations, often using only start and end points. In support of this initiative, proponents and partners are encouraged to contact Natural Resources Canada should they identify any significant errors or omissions.

The Indigenous Community Infrastructure dataset depicts infrastructure projects across Canada that are supported by Indigenous Services Canada (ISC) targeted infrastructure funding. It contains data related to project category, description, status, departmental investment and community. The dataset allows the Department to pinpoint and share information about individual infrastructure projects in Indigenous communities, in a proactive and transparent manner, to: • Showcase where and how investments are carried out • Demonstrate the Government’s commitment to address socio-economic gaps between Indigenous and non-Indigenous communities in Canada and improve access to high-quality services Projects featured in this Indigenous Community Infrastructure dataset are updated on a quarterly basis. Because some projects will benefit more than one community, the number of projects does not match the number of markers on the map or of entries in the dataset. For more information, visit https://www.sac-isc.gc.ca/eng/1526995988708/1526996020578.

This dataset contains points showing the locations of the Manitoba Infrastructure's (MI) approved, new, and continuing capital projects for the year 2021/2022. Examples of MI's capital projects are asphalt surface treatment, grading, bituminous rehabilitation, concrete reconstruction, culvert jacking, intersection improvement, structures improvement, traffic signal improvements, and traffic safety improvements. This dataset contains points showing the locations of the capital projects such as asphalt surface treatment, grading, bituminous rehabilitation, concrete reconstruction, culvert jacking, intersection improvement, structures improvement, traffic signal improvements, and traffic safety improvements. This dataset was created by digitizing high-resolution imagery of Manitoba road network, bridge sites, and culvert locations. The details of the capital projects are available as attributes of the dataset. Fields included ( Alias (Field Name): Field description.) ObjectID (OBJECTID): Sequential unique whole numbers that are automatically generated Project # (Project_): A unique ID assigned to a project by MI Capital Project Team. Hwy (Hwy): The highway number where the project is located. Location Description (Location_Description): A detailed description of the project location. Project Distance in km (km): The physical length of the project Project Type (Project_Type): A particular category assigned to the project based on the nature of work. Total Project Status (Total_Project_Status): Current total status of the project (e.g. new, continue, etc.) Construction Project Status (Construction_Project_Status): Current phase of project (e.g. construction phase, engineering design phase, etc.) Anticipated Construction Start Date (Anticipated_Construction_Start_): The expected construction start date for the project. Anticipated Construction Complete Date (Anticipated_Construction_Comple): The expected construction completion date for the project. Municipality Name (MUNI_NAME): The name of the municipality where the project is located. Department Program (Department_Program): The name of the MI department responsible for the project. This dataset is used in Manitoba Infrastructure Projects an interactive map that shows Manitoba infrastructure's new, approved, and continuing capital project locations.

This is the 5 year investment plan for Manitoba Highway and Infrastructure Capital Projects. This dataset will show all the proposed infrastructure projects for the next 5 years. This Feature layer is similar to the "Manitoba Capital Plans Project Status" and will be updated once a year.This dataset contains points showing the locations of the capital projects such as asphalt surface treatment, grading, bituminous rehabilitation, concrete reconstruction, culvert jacking, intersection improvement, structures improvement, traffic signal improvements, and traffic safety improvements. This dataset was created by digitizing high-resolution imagery of Manitoba road network, bridge sites, and culvert locations. The details of the capital projects are available as attributes of the dataset.Fields included (Alias (Field Name): Field description.)Hwy (Hwy): The highway number where the project is located. Location Description (Location_Description): A detailed description of the project location. Project Distance in km (km): The physical length of the project Project Type (Project_Type): A particular category assigned to the project based on the nature of work. Investment Category : (Investment_Category): Category of future investment for the project. (Ex: Renewal, Economic Development, Connectivity and Innovation, Climate Resiliency) Municipality Name (MUNI_NAME): The name of the municipality where the project is located. Department Program (Department_Program): The name of the MI department responsible for the project.This dataset is used in Manitoba Infrastructure Projects an interactive map that shows Manitoba infrastructure's new, approved, and continuing capital project locations.

This is the 5 year investment plan for Manitoba Highway and Infrastructure Capital Projects. This dataset will show all the proposed infrastructure projects for the next 5 years. This Feature layer is similar to the "Manitoba Capital Plans Project Status" and will be updated once a year.This dataset contains points showing the locations of the capital projects such as asphalt surface treatment, grading, bituminous rehabilitation, concrete reconstruction, culvert jacking, intersection improvement, structures improvement, traffic signal improvements, and traffic safety improvements. This dataset was created by digitizing high-resolution imagery of Manitoba road network, bridge sites, and culvert locations. The details of the capital projects are available as attributes of the dataset.Fields included (Alias (Field Name): Field description.)Hwy (Hwy): The highway number where the project is located. Location Description (Location_Description): A detailed description of the project location. Project Distance in km (km): The physical length of the project Project Type (Project_Type): A particular category assigned to the project based on the nature of work. Investment Category : (Investment_Category): Category of future investment for the project. (Ex: Renewal, Economic Development, Connectivity and Innovation, Climate Resiliency) Municipality Name (MUNI_NAME): The name of the municipality where the project is located. Department Program (Department_Program): The name of the MI department responsible for the project.This dataset is used in Manitoba Infrastructure Projects an interactive map that shows Manitoba infrastructure's new, approved, and continuing capital project locations.

The Surveying and Mapping Services industry in Canada has weathered uncertain conditions as downstream industries including residential, commercial, industrial construction and government authorities, fared with volatility brought on by the COVID-19 pandemic. The industry's performance is largely tied to developments in residential and nonresidential construction markets, which fuel both private- and public-sector spending.As Canadian oil, gas and mining companies cut back spending on exploration and development projects in response to falling commodity prices, and construction stalled in resource-rich provinces, demand for surveying and mapping services for these projects fell. While growth from the residential construction market helped offset some losses, rising interest intended to offset rising inflation have hampered residential demand. Thus, even as energy prices came roaring back, many surveyors saw a reduction in demand. Over the five years to 2023, industry revenue has been contracting at a CAGR of 1.7% and is expected to reach $1.7 billion, including an expected drop of 3.2% over the current year.The return to growth of downstream construction markets will likely keep industry demand afloat moving forward. In addition to solid demand from industrial building construction as commodity prices remain high, housing market expansion will stimulate demand for cadastral, property line and construction surveying. The continued adoption of new technology will also enable companies to realize new efficiencies and improve the quality of their services, expanding sizable profit margins further. Industry revenue is forecast to rise at a CAGR of 1.2% to $1.8 billion over the five years to 2028.

Contained within the 4th Edition (1974) of the Atlas of Canada is a map that shows the locations of selected building and engineering projects for the period 1945 to 1965 and the proportional percentages of the total value of building permits for active centres. The map is accompanied by a supplementary text stating the approximate value of selected engineering projects for the period 1945 to 1965. As well, a set of graphs show the value of new construction for the years 1945 to 1970, the value of new construction by type of structure for the years 1954 to 1970, the value of repair and new construction for the years 1945 to 1965 and trends in the construction industry for the period 1945 to 1965.

The High Resolution Digital Elevation Model (HRDEM) product is derived from airborne LiDAR data (mainly in the south) and satellite images in the north. The complete coverage of the Canadian territory is gradually being established. It includes a Digital Terrain Model (DTM), a Digital Surface Model (DSM) and other derived data. For DTM datasets, derived data available are slope, aspect, shaded relief, color relief and color shaded relief maps and for DSM datasets, derived data available are shaded relief, color relief and color shaded relief maps. The productive forest line is used to separate the northern and the southern parts of the country. This line is approximate and may change based on requirements. In the southern part of the country (south of the productive forest line), DTM and DSM datasets are generated from airborne LiDAR data. They are offered at a 1 m or 2 m resolution and projected to the UTM NAD83 (CSRS) coordinate system and the corresponding zones. The datasets at a 1 m resolution cover an area of 10 km x 10 km while datasets at a 2 m resolution cover an area of 20 km by 20 km. In the northern part of the country (north of the productive forest line), due to the low density of vegetation and infrastructure, only DSM datasets are generally generated. Most of these datasets have optical digital images as their source data. They are generated at a 2 m resolution using the Polar Stereographic North coordinate system referenced to WGS84 horizontal datum or UTM NAD83 (CSRS) coordinate system. Each dataset covers an area of 50 km by 50 km. For some locations in the north, DSM and DTM datasets can also be generated from airborne LiDAR data. In this case, these products will be generated with the same specifications as those generated from airborne LiDAR in the southern part of the country. The HRDEM product is referenced to the Canadian Geodetic Vertical Datum of 2013 (CGVD2013), which is now the reference standard for heights across Canada. Source data for HRDEM datasets is acquired through multiple projects with different partners. Since data is being acquired by project, there is no integration or edgematching done between projects. The tiles are aligned within each project. The product High Resolution Digital Elevation Model (HRDEM) is part of the CanElevation Series created in support to the National Elevation Data Strategy implemented by NRCan. Collaboration is a key factor to the success of the National Elevation Data Strategy. Refer to the “Supporting Document” section to access the list of the different partners including links to their respective data.

From 2019 to 2022, the Supporting Black Canadian Communities Initiative (SBCCI) played a crucial role in bolstering Black-led, Black-focused, and Black-serving (B3) nonprofit organizations across Canada through its Capital Assistance funding program. This initiative provided financial support to address critical infrastructure and equipment needs, thereby enhancing the capacity of these organizations to serve their communities effectively. The grants enabled B3 organizations to undertake minor renovations or retrofits of their facilities and to purchase essential equipment. The program’s primary objectives were to: 1) Enhance Organizational Capacity: By improving infrastructure and acquiring necessary equipment, B3 organizations were better equipped to fulfill their missions and manage their operations more efficiently. 2) Improve Service Delivery: With enhanced facilities and resources, these organizations could offer better services to Black communities across Canada. Organizations eligible for the program could apply for grants of up to $100,000. These funds were allocated for two main types of improvements: - Equipment Purchases (e.g., upgrading computers or software): To equip workspaces and community spaces are identified by red points on the attached map. - Renovations/Retrofits: To undertake improvements or modifications to existing facilities are indicated by green points on the map. - Both Equipment and Renovations/Retrofits (e.g., renovating community kitchens to increase capacity): Projects that include both types of funding are represented by blue points on the map. The dataset provided focuses exclusively on projects that have been completed and closed. It does not include projects that are still ongoing, those that were found ineligible for funding, or projects that could not be finished.

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Geographic Information System Analytics Market Size 2024-2028

The geographic information system analytics market size is forecast to increase by USD 12 billion at a CAGR of 12.41% between 2023 and 2028.

The GIS Analytics Market analysis is experiencing significant growth, driven by the increasing need for efficient land management and emerging methods in data collection and generation. The defense industry's reliance on geospatial technology for situational awareness and real-time location monitoring is a major factor fueling market expansion. Additionally, the oil and gas industry's adoption of GIS for resource exploration and management is a key trend. Building Information Modeling (BIM) and smart city initiatives are also contributing to market growth, as they require multiple layered maps for effective planning and implementation. The Internet of Things (IoT) and Software as a Service (SaaS) are transforming GIS analytics by enabling real-time data processing and analysis.
Augmented reality is another emerging trend, as it enhances the user experience and provides valuable insights through visual overlays. Overall, heavy investments are required for setting up GIS stations and accessing data sources, making this a promising market for technology innovators and investors alike.

What will be the Size of the GIS Analytics Market during the forecast period?

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The geographic information system analytics market encompasses various industries, including government sectors, agriculture, and infrastructure development. Smart city projects, building information modeling, and infrastructure development are key areas driving market growth. Spatial data plays a crucial role in sectors such as transportation, mining, and oil and gas. Cloud technology is transforming GIS analytics by enabling real-time data access and analysis. Startups are disrupting traditional GIS markets with innovative location-based services and smart city planning solutions. Infrastructure development in sectors like construction and green buildings relies on modern GIS solutions for efficient planning and management. Smart utilities and telematics navigation are also leveraging GIS analytics for improved operational efficiency.
GIS technology is essential for zoning and land use management, enabling data-driven decision-making. Smart public works and urban planning projects utilize mapping and geospatial technology for effective implementation. Surveying is another sector that benefits from advanced GIS solutions. Overall, the GIS analytics market is evolving, with a focus on providing actionable insights to businesses and organizations.

How is this Geographic Information System Analytics Industry segmented?

The geographic information system analytics industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

End-user

  Retail and Real Estate
  Government
  Utilities
  Telecom
  Manufacturing and Automotive
  Agriculture
  Construction
  Mining
  Transportation
  Healthcare
  Defense and Intelligence
  Energy
  Education and Research
  BFSI


Components

  Software
  Services


Deployment Modes

  On-Premises
  Cloud-Based


Applications

  Urban and Regional Planning
  Disaster Management
  Environmental Monitoring Asset Management
  Surveying and Mapping
  Location-Based Services
  Geospatial Business Intelligence
  Natural Resource Management


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    UK


  APAC

    China
    India
    South Korea


  Middle East and Africa

    UAE


  South America

    Brazil


  Rest of World

By End-user Insights

The retail and real estate segment is estimated to witness significant growth during the forecast period.

The GIS analytics market analysis is witnessing significant growth due to the increasing demand for advanced technologies in various industries. In the retail sector, for instance, retailers are utilizing GIS analytics to gain a competitive edge by analyzing customer demographics and buying patterns through real-time location monitoring and multiple layered maps. The retail industry's success relies heavily on these insights for effective marketing strategies. Moreover, the defense industries are integrating GIS analytics into their operations for infrastructure development, permitting, and public safety. Building Information Modeling (BIM) and 4D GIS software are increasingly being adopted for construction project workflows, while urban planning and designing require geospatial data for smart city planning and site selection.

The oil and gas industry is leveraging satellite imaging and IoT devices for land acquisition and mining operations. In the public sector,

The SMTC map and database provides the location of, and information about completed, under construction, or planned mass timber projects and manufacturing facilities in Canada. Project information includes building size, height, occupancy, mass timber materials used, year of construction, and other criteria. Manufacturer information includes facility location, materials produced, and production capacity.

The vector grid system provides a spatial and statistical infrastructure that allows the integration of environmental and socio-economic data. Its exploitation allows the crossing of different spatial data within the same grid units. Project results obtained using this grid system can be more easily linked. This grid system forms the geographic and statistical infrastructure of the Southern Quebec Land Accounts of the Institute of Statistics of Quebec (ISQ). It forms the geospatial and statistical context for the development of ecosystem accounting in Quebec. **In order to improve the vector grid system and the Land Accounts of Southern Quebec and to better anticipate the future needs of users, we would like to be informed of their use (field of application, objectives of use, territory, association with other products, etc.). You can write to us at maxime.keith@stat.gouv.qc.ca **. This grid system allows the spatial integration of various data relating, for example, to human populations, the economy or the characteristics of land. The ISQ wishes to encourage the use of this system in projects that require the integration of several data sources, the analysis of this data at different spatial scales and the monitoring of this data over time. The fixed geographic references of the grids simplify the compilation of statistics according to different territorial divisions and facilitate the monitoring of changes over time. In particular, the grid system promotes the consistency of data at the provincial level. The spatial intersection of the grid and the spatial data layer to be integrated makes it possible to transfer the information underlying the layer within each cell of the grid. In the case of the Southern Quebec Land Accounts, the spatial intersection of the grid and each of the three land cover layers (1990s, 2000s and 2010s) made it possible to report the dominant coverage within each grid cell. The set of matrix files of Southern Quebec Land Accounts is the result of this intersection. **Characteristics: ** The product includes two vector grids: one formed of cells of 1 km² (or 1,000 m on a side), which covers all of Quebec, and another of 2,500 m² cells (or 50 m on a side, or a quarter of a hectare), which fits perfectly into the first and covers Quebec territory located south of the 52nd parallel. Note that the nomenclature of this system, designed according to a Cartesian plan, was developed so that it was possible to integrate cells with finer resolutions (up to 5 meters on a side). In its 2024 update, the 50 m grid system is divided into 331 parts with a side of 50 km in order to limit the number of cells per part of the grid to millions and thus facilitate geospatial processing. This grid includes a total of approximately 350 million cells or 875,000 km2. It is backwards compatible with the 50m grid broadcast by the ISQ in 2018 (spatial structure and unique identifiers are identical, only the fragmentation is different). **Attribute information for 50 m cells: ** * ID_m50: unique code of the cell; * CO_MUN_2022: geographic code of the municipality of January 2022; * CERQ_NV2: code of the natural region of the ecological reference framework of Quebec; * CL_COUV_T50: unique code of the cell; * CL_COUV_T00, CL_COUV_T01: codes for coverage classes Terrestrial maps from the years 1990, 2000 and 2010. Note: the 2000s are covered by two land cover maps: CL_COUV_T01A and CL_COUV_T01b. The first inventories land cover prior to reassessment using the 2010s map, while the second shows land cover after this reassessment process. **Complementary entity classes: ** * Index_grille50m: index of the parts of the grid; * Decoupage_mun_01_2022: division of municipalities; * Decoupage_MRC_01_2022: division of geographical MRCs; * Decoupage_RA_01_2022: division of administrative regions. Source: System on administrative divisions [SDA] of the Ministry of Natural Resources and Forests [MRNF], January 2022, allows statistical compilations to be carried out according to administrative divisions hierarchically superior to municipalities. * Decoupage_CERQ_NV2_2018: division of level 2 of the CERQ, natural regions. Source: Ministry of the Environment, the Fight against Climate Change, Wildlife and Parks [MELCCFP]. Geospatial processes delivered with the grid (only with the FGDB data set) : * ArcGIS ModelBuilder allowing the spatial intersection and the selection of the dominant value of the geographic layer to populate the grid; * ModelBuilder allowing the statistical compilation of results according to various divisions. Additional information on the grid in the report Southern Quebec Land Accounts published in October 2018 (p. 46). View the results of the Southern Quebec Land Accounts on the interactive map of the Institut de la Statistique du Québec.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Contained within the 4th Edition (1974) of the Atlas of Canada is a map that shows the locations of selected building and engineering projects for the period 1945 to 1965 and the proportional percentages of the total value of building permits for active centres. The map is accompanied by a supplementary text stating the approximate value of selected engineering projects for the period 1945 to 1965. As well, a set of graphs show the value of new construction for the years 1945 to 1970, the value of new construction by type of structure for the years 1954 to 1970, the value of repair and new construction for the years 1945 to 1965 and trends in the construction industry for the period 1945 to 1965.

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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

From 2019 to 2022, the Supporting Black Canadian Communities Initiative (SBCCI) played a crucial role in bolstering Black-led, Black-focused, and Black-serving (B3) nonprofit organizations across Canada through its Capital Assistance funding program. This initiative provided financial support to address critical infrastructure and equipment needs, thereby enhancing the capacity of these organizations to serve their communities effectively. The grants enabled B3 organizations to undertake minor renovations or retrofits of their facilities and to purchase essential equipment. The program’s primary objectives were to: 1) Enhance Organizational Capacity: By improving infrastructure and acquiring necessary equipment, B3 organizations were better equipped to fulfill their missions and manage their operations more efficiently. 2) Improve Service Delivery: With enhanced facilities and resources, these organizations could offer better services to Black communities across Canada. Organizations eligible for the program could apply for grants of up to $100,000. These funds were allocated for two main types of improvements: Equipment Purchases (e.g., upgrading computers or software): To equip workspaces and community spaces are identified by red points on the attached map. Renovations/Retrofits: To undertake improvements or modifications to existing facilities are indicated by green points on the map. Both Equipment and Renovations/Retrofits (e.g., renovating community kitchens to increase capacity): Projects that include both types of funding are represented by blue points on the map. The dataset provided focuses exclusively on projects that have been completed and closed. It does not include projects that are still ongoing, those that were found ineligible for funding, or projects that could not be finished.