The size of the Nigeria Geospatial Analytics market was valued at USD XXX Million in 2023 and is projected to reach USD XXX Million by 2032, with an expected CAGR of 5.94% during the forecast period.Geospatial analytics is the process of analyzing geographic data for insights and making informed decisions. It is done by using geographic information systems and other technologies in collecting, processing, and visualizing spatial data. These data may be sourced from a variety of sources such as satellite imagery, aerial photography, GPS, and sensor networks.Geospatial analytics holds much promise for solving some of the problems and challenges in Nigeria. It can be used for agricultural purposes, urban development, disaster management, and environmental conservation. For example, geospatial analytics can help farmers increase the yield of crops by analyzing the quality of soil, weather, and irrigation needs. Geospatial analytics can also help plan infrastructure development and urban extension in urban planning. For natural disasters, geospatial analytics can be utilized to evaluate the extent of damage, deploy resources and plan relief activities. These are used in monitoring deforestation, pollution, and other environmental issues.Geospatial analytics has become increasingly valuable to both the Nigerian government and private sector organizations. With the use of this technology, Nigeria would be able to make great steps for sustainable development and growth in the economy. Recent developments include: April 2023: Abuduganiyu Adebomehin, the Surveyor General of the Federation (SGoF), has praised Sambus Geospatial Nigeria Limited, a provider of solutions, for its dedication to the promotion of a producing high-quality, accurate, and real-time geographic data for Nigeria. The Office of the Surveyor General of the Federation (OSGoF) donated five copies of mapping software (ESRI Arc GIS Pro Advance with ten extensions), which the SGoF accepted in exchange for the praise.. Key drivers for this market are: Commercialization of spatial data, Increased smart city & infrastructure projects. Potential restraints include: High costs associated with geospatial technologies. Notable trends are: Commercialization of spatial data would drive the market in Nigeria.

Nigeria's Geospatial Analytics Market is Segmented by Type (Surface Analysis, Network Analysis, Geovisualization), by End User Vertical ( Agriculture, Utility and Communication, Defence and Intelligence, Government, Mining and Natural Resources, Automotive and Transportation, Healthcare, Real Estate, and Construction). The Market Sizes and Forecasts are Provided in Terms of Value (USD) for all the Above Segments.

The Nigeria Geospatial Analytics market, valued at $80 million in 2025, is projected to experience robust growth, with a Compound Annual Growth Rate (CAGR) of 5.94% from 2025 to 2033. This expansion is driven by increasing government investments in infrastructure development, a burgeoning need for precise land management solutions within the agricultural sector, and the rising adoption of geospatial technologies across various industries like mining, real estate, and transportation. The market's segmentation reveals strong potential across diverse end-user verticals. Agricultural applications are likely to lead, followed by utility and communication, defense and intelligence, and government sectors. The increasing use of precision agriculture techniques, coupled with the need for efficient resource management, fuels this demand. Furthermore, the integration of advanced technologies like AI and machine learning within geospatial analytics platforms is expected to enhance accuracy and efficiency, fostering further market expansion. The competitive landscape showcases a mix of international giants and local players. Major players like Autodesk, Trimble, Esri, and Hexagon are leveraging their established presence and technological expertise to capture significant market share. However, local companies like Geodata Nigeria and Sambus Geospatial Services are well-positioned to capitalize on the growing demand for localized solutions and services. The market's growth trajectory suggests significant opportunities for both established firms and new entrants, but success hinges on providing customized solutions tailored to the specific needs of the Nigerian market and navigating the challenges associated with data infrastructure and technological adoption. The forecast period will see substantial growth primarily driven by the continued adoption across various sectors, increased government initiatives supporting digital transformation, and strategic partnerships between international and local players. Recent developments include: April 2023: Abuduganiyu Adebomehin, the Surveyor General of the Federation (SGoF), has praised Sambus Geospatial Nigeria Limited, a provider of solutions, for its dedication to the promotion of a producing high-quality, accurate, and real-time geographic data for Nigeria. The Office of the Surveyor General of the Federation (OSGoF) donated five copies of mapping software (ESRI Arc GIS Pro Advance with ten extensions), which the SGoF accepted in exchange for the praise.. 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 would drive the market in Nigeria.

Nigeria Geospatial Analytics Market size was valued at USD 86.37 Million in 2024 and is expected to reach USD 146.41 Million by 2032, growing at a CAGR of 6.82% from 2026 to 2032.

Nigeria Geospatial Analytics Market: Definition/ Overview

Geospatial analytics involves the application of computational methods to analyze spatial data, deriving insights about geographic phenomena and relationships. This process integrates geographic information systems (GIS), remote sensing, and statistical techniques to identify patterns, trends, and anomalies within spatial datasets. It facilitates informed decision-making across various domains by providing spatial context and predictive modeling capabilities.

Geospatial analytics facilitates precise environmental monitoring through the detection and analysis of land cover changes, deforestation, and urban expansion. It supports informed infrastructure planning by optimizing site selection, assessing transportation networks, and managing utilities.

Data for the Population distribution of Nigeria is available.Contact nigeriatech@sambusgeospatial.com to request the data.You would get a feedback once your request is received.Link for purchase: https://store.sambusgeospatial.com/product/population-data-across-states-and-lga-in-nigeria/?currency=USD

Groundwater resource management in drylands, characterized by climate variability and population growth, is difficult. Exploration and exploitation of groundwater, due to inadequate surface water is very costly. This study employed the analytic hierarchy process (AHP) and GIS to identify groundwater potential (GWP) areas in a semi-arid region of Nigeria. Land-use-land-cover, drainage density, slope, rainfall, static water level, soil, lithology, and aquifer were selected for GWP analysis. Parameter weights were determined using AHP and ranked based on their contribution to GWP by experts. The parameters were then integrated using the weighted overlay tool in ArcGIS 10.5 to produce a GWP map of the study area. Borehole yield data from 245 wells were collected to determine the model accuracy and model validation. Results classified the study area into very high GWP (1.9%), high GWP (8.8%), moderate GWP (62%), low GWP (20.70%) and very low GWP (6.6%). Areas with better GWP include Gurun, Dugol, Zago, Kumbo, Dukku, Doguwa, Riruwai, Dambazau, etc. Moderate GWP areas are widely spread across the state while areas with poor GWP include Sharawa, Kadewa, Koya, Dagar, Jigilawa, Galwanga, Yanganau, Kunchi, Tofa, Tsanyawa, etc. Validation of the AHP model with borehole yield data shows a correlation coefficient of 71.3% giving a good prediction. AHP and GIS can be used to successfully map GWP areas which could serve as an exploration guide for sustainable management of groundwater resources in semi-arid areas.

The Nigerian satellite-based Earth Observation (EO) market is experiencing robust growth, projected to reach a value of $267.12 million in 2025 and maintain a Compound Annual Growth Rate (CAGR) of 6.71% from 2025 to 2033. This expansion is fueled by increasing government investment in infrastructure development, particularly in agriculture, urban planning, and disaster management. The rising adoption of advanced geospatial technologies, such as high-resolution satellite imagery and advanced analytics, is further driving market growth. Key drivers include the need for precise land mapping for agricultural optimization, improved environmental monitoring for sustainable resource management, and enhanced security and surveillance capabilities. Furthermore, the growing availability of affordable and accessible satellite data and analytics platforms contributes significantly to market expansion. The market is segmented by application (e.g., agriculture, defense, urban planning) and technology (e.g., optical, radar). Major players in the Nigerian satellite-based EO market include both international giants like Airbus SE and Hexagon AB, along with indigenous companies such as Digital & Spatial Solutions and Geoinfotech Resources Limited. The competitive landscape is dynamic, characterized by strategic partnerships, mergers and acquisitions, and the emergence of innovative solutions. While the market is currently experiencing substantial growth, challenges remain, including the need for enhanced digital infrastructure and skilled workforce development to fully realize the potential of EO technologies. Furthermore, ensuring data security and privacy remains a critical concern that needs to be addressed to foster market confidence and encourage broader adoption of these transformative technologies. Overall, the Nigerian satellite-based EO market presents significant opportunities for growth and investment in the coming years. Key drivers for this market are: Increasing Focus on Connectivity and Data Accessibility to Drive the Market Growth, Disaster Management and Climate Change Supports the Market Growth. Potential restraints include: Integration Challenges might Restrain the Market Growth, Limited funding from the government and other sources. Notable trends are: Increasing Focus on Connectivity and Data Accessibility to Drive the Market Growth.

A database of travel times to facilities that can provide comprehensive EmOC in the 15 most populated extended urban areas (conurbations) in Nigeria. The travel times from cells of approximately 0.6x0.6km to facilities were derived based on Google Maps Platform’s internal Directions Application Programming Interface (API). The API incorporates estimates of traffic to provide closer-to-reality estimates of travel time. Computations were done to the first, second and third nearest public or private facilities. Travel time for eight traffic scenarios (including peak and non-peak periods) and the number of facilities within specific time thresholds were estimated. The database offers a plethora of opportunities for research and planning towards improving EmOC accessibility.

Spatial coverage index compiled by East View Geospatial of set "Nigeria 1:1,000,000 Scale Geological Maps by Zone". Source data from NGSA (publisher). Type: Geoscientific - Geology. Scale: 1:1,000,000. Region: Africa.

Spatial coverage index compiled by East View Geospatial of set "Nigeria 1:250,000 Scale Topographic Maps". Source data from FSN (publisher). Type: Topographic. Scale: 1:250,000. Region: Africa.

Spatial coverage index compiled by East View Geospatial of set "Nigeria 1:50,000 Scale Topographic Maps (SGF)". Source data from SGF (publisher). Type: Topographic. Scale: 1:50,000. Region: Africa.

A geospatial database of drought occurrence in inland valleys in Mali, Burkina Faso and Nigeria

This dataset represents the second-level administrative unit 'States' of Nigeria. The dataset was prepared by the Office of the Surveyor General of the Federation, Federal Surveys of Nigeria in February 2022 to Second Administrative Level Boundaries (SALB) Program of United Nations. The reference scale for this Geospatial data is equivalent to 1:1,000,000 scale, or larger scale. Data was downloaded from UN-SALB site in June 2022, feature topology/geometry was corrected, international borders validated against the United Nations official borders (United Nations Geospatial Information Section - UN-Map 2018). The dataset is part of FAO's Hand-in-Hand (HiH) second administrative level boundaries 2022 dataset series, published on the HiH Geospatial Platform for thematic mapping, integration of geospatially enabled statistics, zonal statistics extraction, and used for HiH initiative geospatial analysis (GIS-MCDA, suitability/location analysis, agricultural typologies).

Spatial coverage index compiled by East View Geospatial of set "Nigeria 1:250,000 Scale Geological Maps". Source data from NGSA (publisher). Type: Geoscientific - Geology. Scale: 1:250,000. Region: Africa.

Layers showing cases of Lassa Fever with trends

This shapefile provides HIV statistics by state that can be used in conjunction with the co-morbidities risk profile to provide more nuance on levels of risk by state. Note that values of 0 mean there is no data for that particular state.The source of data for HIV prevalence rates is the Nigeria Institute for Health Metrics and Evaluation (IHME), HIV Prevalence Geospatial Estimates 2000-2017.

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.

In this study, we assessed the predictors for occurrence of drought in inland valley rice-based production systems and enabling factors for small scale farmers to mitigate its effects in three West African countries located in the Sudan-Sahel zone viz. Nigeria, Burkina Faso and Mali. We used both biophysical and socio-economic data, farmers’ community surveys and secondary data from remote sensing on soil characteristics and water demand. We then applied regression models to assess the predictors of drought and the factors affecting farmers’ adaptation strategies.

This web map is designed to provide an enriched geospatial platform to ascertain the flood potential status of our local place of residence and other land-use activities. Information on the flood risk distribution can be extracted by 5 major magnitudes (very high, high, moderate, low, and very low). The buildings, roads, and rail tracks that are susceptible to flooding based on the identified magnitudes are also included in the web map. In addition, the historical or flood inventory layer, which contains information on the previous flooding disasters that have occurred within the river basin, is included.

This web map is the result of extensive research using available data, open source and custom datasets that are extremely reliable.The collaborative study was done by Dr. Felix Ndidi Nkeki (GIS-Unit, BEDC Electricity PLC, 5, Akpakpava Road, Benin City, Nigeria and Department of Geography and Regional Planning, University of Benin, Nigeria), Dr. Ehiaguina Innocent Bello (National Space Research and Development Agency, Obasanjo Space Centre, FCT-Abuja, Nigeria) and Dr. Ishola Ganiy Agbaje (Centre for Space Science Technology Education, Obafemi Awolowo University, Ile-Ife, Nigeria). The study results are published in a reputable leading world-class journal known as the International Journal of Disaster Risk Reduction. The methodology, datasets, and full results of the study can be found in the paper.

The major sources of data are: ALOS PALSAR DEM; soil data from Harmonised World Soil Database-Food and Agriculture Organisation of the United Nations (FAO); land-use and surface geologic datasets from CSSTE, OAU Campus, Ile-Ife, Nigeria and Ibadan Urban Flood Management Project (IUFMP), Oyo State, Nigeria; transport network data was extracted from Open Street Map; building footprint data was mined from Google open building; and finally, rainfall grid data was downloaded from the Centre for Hydrometeorology and Remote Sensing (CHRS).

This work has been undertaken as part of the Geo-referenced Infrastructure and Demographic Data for Development (GRID3) initiative in Nigeria.

GRID3 works with countries to generate, validate and use geospatial data on population, settlements, infrastructure, and subnational boundaries. For more information, see https://grid3.org/

Suggested Data Set Citation: Center for International Earth Science Information Network (CIESIN), Columbia University and Novel-T. 2020. GRID3 Nigeria Settlement Extents Version 01, Alpha. Palisades, NY: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3). Source of building Footprints “Ecopia Vector Maps Powered by Maxar Satellite Imagery”© 2020. DOI: https://doi.org/10.7916/d8-7778-9948. Accessed DAY MONTH YEAR