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The Africa Geospatial Analytics market, currently valued at $0.26 billion in 2025, is projected to experience robust growth, driven by increasing government investments in infrastructure development, rising adoption of precision agriculture techniques, and the expanding need for effective resource management across various sectors. The market's Compound Annual Growth Rate (CAGR) of 6.99% from 2025 to 2033 indicates a significant expansion over the forecast period. Key drivers include the escalating demand for accurate location-based services across industries like utilities, defense, and mining, alongside advancements in data analytics technologies, particularly in remote sensing and GIS software. The market segmentation reveals strong demand across diverse end-user verticals, with agriculture, utilities and communications, and defense and intelligence sectors likely to be significant contributors to market growth. The availability of affordable data and cloud-based solutions will further fuel market expansion. However, challenges such as limited internet penetration in certain regions and a scarcity of skilled professionals may act as restraints. Growth will be particularly strong in countries with substantial infrastructure projects and a need for efficient resource management, such as Nigeria, South Africa, and Egypt. The increasing adoption of smart city initiatives and the need for precise mapping for urban planning will further contribute to market expansion. Key players like Atkins, Autodesk, and ESRI are strategically positioning themselves to capture this market growth through partnerships, technological advancements, and tailored solutions for the African context. The market is expected to witness significant innovation in areas like 3D modeling, AI-powered analytics, and big data processing, which will further enhance the capabilities and applications of geospatial analytics in Africa. The projected increase in investment in technological infrastructure across the continent will be a key factor in accelerating market adoption and overall growth. Recent developments include: September 2024: Bayanat, a company in AI-driven geospatial solutions, has teamed up with Vay, renowned for its automotive-grade teledriving (remote driving) technology. Together, they've inked a Memorandum of Understanding (MoU) to enhance teledriving solutions by integrating geospatial data and AI. This collaboration empowers Bayanat, in tandem with Vay, to introduce and broaden the reach of teledriving technology across the Middle East, Africa, and select nations in the Asia Pacific.May 2024: AfriGIS stands out as one of the pioneering geospatial solutions firms, providing verified and validated geospatial data on administrative boundaries tied to postal codes across Africa. AfriGIS has crafted a polygon dataset for 21,600 localities (towns) and 475,000 sub-localities (suburbs) in the last three years. This dataset can be enriched via API with overlays like points of interest, administrative boundaries, cadastral data, deeds, census data, street centrelines, etc.. Key drivers for this market are: Commercialization of spatial data, Increased smart city & infrastructure projects. Potential restraints include: Commercialization of spatial data, Increased smart city & infrastructure projects. Notable trends are: Commercialization of Spatial Data.
This map presents transportation data, including highways, roads, railroads, and airports for the world.
The map was developed by Esri using Esri highway data; Garmin basemap layers; HERE street data for North America, Europe, Australia, New Zealand, South America and Central America, India, most of the Middle East and Asia, and select countries in Africa. Data for Pacific Island nations and the remaining countries of Africa was sourced from OpenStreetMap contributors. Specific country list and documentation of Esri's process for including OSM data is available to view.
You can add this layer on top of any imagery, such as the Esri World Imagery map service, to provide a useful reference overlay that also includes street labels at the largest scales. (At the largest scales, the line symbols representing the streets and roads are automatically hidden and only the labels showing the names of streets and roads are shown). Imagery With Labels basemap in the basemap dropdown in the ArcGIS web and mobile clients does not include this World Transportation map. If you use the Imagery With Labels basemap in your map and you want to have road and street names, simply add this World Transportation layer into your map. It is designed to be drawn underneath the labels in the Imagery With Labels basemap, and that is how it will be drawn if you manually add it into your web map.
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License information was derived automatically
Any geological exploration of the Earth ultimately requires understanding its structure and crustal geometry and composition - its architecture - whether we are searching for battery minerals, metals, water, hydrocarbons, carbon storage reservoirs, or geothermal. Although regional and local databases are available, especially in the commercial world, there is no systematic, global suite of databases for crustal architecture and structure accessible by the entire scientific community. This is why we have built Reclus. The Reclus suite includes databases of the following: (1) structural elements, which define the three-dimensional geometry of the rock volume, including folds and faults; (2) 'crustal' facies describing the geometry and composition/rheology of the lithosphere; (3) igneous features; and (4) geodynamics, representing the dominant thermo-mechanical processes acting on the lithosphere. The datasets provided here are for East Africa and are described in detail in Markwick et al., (Accepted for publication). Interpretations were made between 2017-2021 using a range of primary and secondary sources. These input datasets include gravity and magnetic data, Landsat imagery, radar data, published well and seismic information, geological maps and published papers, MSc and Ph.d. theses, and reports. The databases are compiled and managed using ESRI's ArcGIS software and are underpinned by a comprehensive data management system and systematic attribution. In this resource, the databases are provided as ESRI shapefiles. Shapefiles are the ESRI data format that can be used most widely, including the following: different versions of ArcGIS; QGIS, Schlumberger's Petrel; and Google Earth. Reclus enables commercial explorationists to place their internal data and expertise within a systematically built, regional context. For students and academics, Reclus is designed to provide a starting point for further research - it is so much easier to take an existing resource, question it, disagree with it, change it, and improve it. Reclus is named after the French geographer Jacques Élisée Reclus”, who in the late 19th century compiled and analyzed physical and human geographic data for every continent. This was published in his 19 volume work, La Nouvelle Géographie Universelle, la Terre et Les Hommes, which included some of the first maps illustrating the global distribution of volcanoes and mountains.
Mineral resource occurrence data covering the world, most thoroughly within the U.S. This database contains the records previously provided in the Mineral Resource Data System (MRDS) of USGS and the Mineral Availability System/Mineral Industry Locator System (MAS/MILS) originated in the U.S. Bureau of Mines, which is now part of USGS. The MRDS is a large and complex relational database developed over several decades by hundreds of researchers and reporters. While database records describe mineral resources worldwide, the compilation of information was intended to cover the United States completely, and its coverage of resources in other countries is incomplete. The content of MRDS records was drawn from reports previously published or made available to USGS researchers. Some of those original source materials are no longer available. The information contained in MRDS was intended to reflect the reports used as sources and is current only as of the date of those source reports. Consequently MRDS does not reflect up-to-date changes to the operating status of mines, ownership, land status, production figures and estimates of reserves and resources, or the nature, size, and extent of workings. Information on the geological characteristics of the mineral resource are likely to remain correct, but aspects involving human activity are likely to be out of date.
Kenya's health care system is structured in a step-wise manner so that complicated cases are referred to a higher level. Gaps in the system are filled by private and church run unitsBasic primary care is provided at primary healthcare centres and dispensaries. Dispensaries are run and managed by enrolled and registered nurses who are supervised by the nursing officer at the respective health centre. They provide outpatient services for simple ailments such as the common cold and flu, uncomplicated malaria and skin conditions. Those patients who cannot be managed by the nurse are referred to the health centres.Sub-district, district and provincial hospitals provide secondary care, i.e. integrated curative and rehabilitative care. Sub-district hospitals are similar to health centres with the addition of a surgery unit for Caesarean sections and other procedures. District hospitals usually have the resources to provide comprehensive medical and surgical services. Provincial hospitals are regional centres which provide specialised care including intensive care, life support and specialist consultations.Third level care is provided at the general hospitals Moi and Kenyatta, both located in Nairobi. Gaps, which regularly appear in the system, are filled by private and church run facilities.Dispensaries and private clinicsHealth CentersSub-district hospitals District hospital and private hospitalsProvincial hospitalNational hospital
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The Africa Geospatial Analytics market, currently valued at $0.26 billion in 2025, is projected to experience robust growth, driven by increasing government investments in infrastructure development, rising adoption of precision agriculture techniques, and the expanding need for effective resource management across various sectors. The market's Compound Annual Growth Rate (CAGR) of 6.99% from 2025 to 2033 indicates a significant expansion over the forecast period. Key drivers include the escalating demand for accurate location-based services across industries like utilities, defense, and mining, alongside advancements in data analytics technologies, particularly in remote sensing and GIS software. The market segmentation reveals strong demand across diverse end-user verticals, with agriculture, utilities and communications, and defense and intelligence sectors likely to be significant contributors to market growth. The availability of affordable data and cloud-based solutions will further fuel market expansion. However, challenges such as limited internet penetration in certain regions and a scarcity of skilled professionals may act as restraints. Growth will be particularly strong in countries with substantial infrastructure projects and a need for efficient resource management, such as Nigeria, South Africa, and Egypt. The increasing adoption of smart city initiatives and the need for precise mapping for urban planning will further contribute to market expansion. Key players like Atkins, Autodesk, and ESRI are strategically positioning themselves to capture this market growth through partnerships, technological advancements, and tailored solutions for the African context. The market is expected to witness significant innovation in areas like 3D modeling, AI-powered analytics, and big data processing, which will further enhance the capabilities and applications of geospatial analytics in Africa. The projected increase in investment in technological infrastructure across the continent will be a key factor in accelerating market adoption and overall growth. Recent developments include: September 2024: Bayanat, a company in AI-driven geospatial solutions, has teamed up with Vay, renowned for its automotive-grade teledriving (remote driving) technology. Together, they've inked a Memorandum of Understanding (MoU) to enhance teledriving solutions by integrating geospatial data and AI. This collaboration empowers Bayanat, in tandem with Vay, to introduce and broaden the reach of teledriving technology across the Middle East, Africa, and select nations in the Asia Pacific.May 2024: AfriGIS stands out as one of the pioneering geospatial solutions firms, providing verified and validated geospatial data on administrative boundaries tied to postal codes across Africa. AfriGIS has crafted a polygon dataset for 21,600 localities (towns) and 475,000 sub-localities (suburbs) in the last three years. This dataset can be enriched via API with overlays like points of interest, administrative boundaries, cadastral data, deeds, census data, street centrelines, etc.. Key drivers for this market are: Commercialization of spatial data, Increased smart city & infrastructure projects. Potential restraints include: Commercialization of spatial data, Increased smart city & infrastructure projects. Notable trends are: Commercialization of Spatial Data.