The World Bank and the International Finance Corporation, collectively The World Bank Group, have provided this Global Solar Atlas in addition to a series of global, regional and country GIS data layers and poster maps, to support the scale-up of solar power in our client countries. This work is funded by the Energy Sector Management Assistance Program (ESMAP), a multi-donor trust fund administered by The World Bank and supported by 13 official bilateral donors. It is part of a global ESMAP initiative on Renewable Energy Resource Mapping that includes biomass, small hydro, solar and wind.

The Global Solar Atlas provide relevant information of solar power potential for energy generation. It is a project administered by the World Bank Group as part of the Energy Sector Assistance Program (ESMAP). The Global Solar Atlas was implemented by Solargis. The goal of the atlas is to expose solar resource and photovoltaic power potential data.Output variables as processing templates:PV electricity output: Total electrical energy produced per capacity installed (kWh/kWp) per yearMonthly PV electricity output (12 layers): Average monthly electrical energy produced per capacity installed (x1,000 kWh/kWp) per day.Direct normal irradiation: Amount of solar energy per unit area (kWh/m2) coming from a direct (i.e. perpendicular) pathDiffuse horizontal irradiation: Amount of solar energy per unit area (kWh/m2) received from scattered sources (e.g. clouds)Global horizontal irradiation: Amount of solar radiation received (kWh/m2) at a theoretical plane horizontal to the groundGlobal tilted irradiation at optimum angle: Largest amount of solar radiation that can be received (kWh/m2) at the ground at the optimum angle (i.e. OPTA)Optimum tilt of PV modules: Optimal angle (segrees) of a plane that receives the highest solar radiation.Air temperature: Annual average of air temperature (°C) at 2m from the groundElevation: Elevation (m) above mean sea level.What can you do with this layer?This layer can be used to primarily to estimate the total energy yield of a PV system and its inter-annual variation or compare energy yield between sites. The layer can also be used to determine the optimal angle of PV panels and quantify the gap between received radiation at a horizontal plane against the radiation received in a plane tilted at the optimal angle. This layer can also be used to quantify the difference between direct and diffuse irradiation for a given location. Additionally, the layer provides information on the mean air temperature and elevation used in the model.Associated web mapsPV electricity outputHorizontal and tilted irradiationsDirect and diffuse irradiationsCell Size: 30 arc-secondsSource Type: ContinousPixel Type: IntegerProjection: GCS WGS84Extent: GlobalSource: Global Solar AtlasArcGIS Server URL: https://earthobs3.arcgis.com/arcgis

The World Bank and the International Finance Corporation, collectively The World Bank Group, have provided this Global Solar Atlas in addition to a series of global, regional and country GIS data layers and poster maps, to support the scale-up of solar power in our client countries. This work is funded by the Energy Sector Management Assistance Program (ESMAP), a multi-donor trust fund administered by The World Bank and supported by 13 official bilateral donors. It is part of a global ESMAP initiative on Renewable Energy Resource Mapping that includes biomass, small hydro, solar and wind.

This web layer provides relevant information of solar power potential for energy generation. It is a project administered by the World Bank Group as part of the Energy Sector Assistance Program (ESMAP). The Global Solar Atlas was implemented by Solargis. The goal of the atlas is to expose solar resource and photovoltaic power potential data.Output variables as processing templates:PV electricity output: Total electrical energy produced per capacity installed (kWh/kWp) per yearMonthly PV electricity output (12 layers): Average monthly electrical energy produced per capacity installed (x1,000 kWh/kWp) per day.Direct normal irradiation: Amount of solar energy per unit area (kWh/m2) coming from a direct (i.e. perpendicular) pathDiffuse horizontal irradiation: Amount of solar energy per unit area (kWh/m2) received from scattered sources (e.g. clouds)Global horizontal irradiation: Amount of solar radiation received (kWh/m2) at a theoretical plane horizontal to the groundGlobal tilted irradiation at optimum angle: Largest amount of solar radiation that can be received (kWh/m2) at the ground at the optimum angle (i.e. OPTA)Optimum tilt of PV modules: Optimal angle (segrees) of a plane that receives the highest solar radiation.Air temperature: Annual average of air temperature (°C) at 2m from the groundElevation: Elevation (m) above mean sea level.What can you do with this layer?This layer can be used to primarily to estimate the total energy yield of a PV system and its inter-annual variation or compare energy yield between sites. The layer can also be used to determine the optimal angle of PV panels and quantify the gap between received radiation at a horizontal plane against the radiation received in a plane tilted at the optimal angle. This layer can also be used to quantify the difference between direct and diffuse irradiation for a given location. Additionally, the layer provides information on the mean air temperature and elevation used in the model.Associated web mapsPV electricity outputHorizontal and tilted irradiationsDirect and diffuse irradiationsCell Size: 30 arc-secondsSource Type: ContinousPixel Type: IntegerProjection: GCS WGS84Extent: GlobalSource: Global Solar AtlasArcGIS Server URL: https://earthobs3.arcgis.com/arcgis

Developed by SOLARGIS (https://solargis.com) and provided by the Global Solar Atlas (GSA), this data resource contains diffuse horizontal irradiation (DIF) in kWh/m² covering the globe. Data is provided in a geographic spatial reference (EPSG:4326). The resolution (pixel size) of solar resource data (GHI, DIF, GTI, DNI) is 9 arcsec (nominally 250 m), PVOUT and TEMP 30 arcsec (nominally 1 km) and OPTA 2 arcmin (nominally 4 km). The data is hyperlinked under 'resources' with the following characeristics: DIF - LTAy_AvgDailyTotals (GeoTIFF) Data format: GEOTIFF File size : 198.94 MB There are two temporal representation of solar resource and PVOUT data available: • Longterm yearly/monthly average of daily totals (LTAym_AvgDailyTotals) • Longterm average of yearly/monthly totals (LTAym_YearlyMonthlyTotals) Both type of data are equivalent, you can select the summarization of your preference. The relation between datasets is described by simple equations: • LTAy_YearlyTotals = LTAy_DailyTotals * 365.25 • LTAy_MonthlyTotals = LTAy_DailyTotals * Number_of_Days_In_The_Month For individual country or regional data downloads please see: https://globalsolaratlas.info/download (use the drop-down menu to select country or region of interest) For data provided in AAIGrid please see: https://globalsolaratlas.info/download/world. For more information and terms of use, please, read metadata, provided in PDF and XML format for each data layer in a download file. For other data formats, resolution or time aggregation, please, visit Solargis website. Data can be used for visualization, further processing, and geo-analysis in all mainstream GIS software with raster data processing capabilities (such as open source QGIS, commercial ESRI ArcGIS products and others).

Developed by SOLARGIS and provided by the Global Solar Atlas (GSA), this data resource contains solar resource data for: direct normal irradiation (DNI), global horizontal irradiation (GHI), diffuse horizontal irradiation data (DIF), and global irradiation for optimally tilted surfaces (GTI), all in kWh/m² covering the globe. Data is provided in a geographic spatial reference (EPSG:4326). The resolution (pixel size) of solar resource data (GHI, DIF, GTI, DNI) is 9 arcsec (nominally 250 m). Due to the large amount of data, the coverage has been divided into eight segments. Four segments for the North hemisphere: WWN (West-west-north), WN (West-north), EN (East-north), EEN (East-east-north). Analogically four segments for the South hemisphere: WWS, WS, ES, EES. The data is hyperlinked under 'resources' with the following characteristics: DNI LTAy_AvgDailyTotals (GeoTIFF) Data format: raster (gridded), GEOTIFF File size : 343.99 MB For individual country or regional data downloads please see: https://globalsolaratlas.info/download (use the drop-down menu to select country or region of interest) For data provided in AAIGrid please see: https://globalsolaratlas.info/download/world. For more information and terms of use, please, read metadata, provided in PDF and XML format for each data layer in a download file. For other data formats, resolution or time aggregation, please, visit Solargis website. Data can be used for visualization, further processing, and geo-analysis in all mainstream GIS software with raster data processing capabilities (such as open source QGIS, commercial ESRI ArcGIS products and others).

Map with solar irradiation and PV power potential in Bangladesh. The GIS data (AAIGRID and GEOTIFF) stems from the Global Solar Atlas (http://globalsolaratlas.info). The link also provides a poster size (.tif) and midsize map (.png). The Global Solar Atlas is continuously updated.

Provided GIS data layers include long-term yearly average of: (1) PVOUT – Photovoltaic power potential [kWh/kWp] (2) GHI – Global horizontal irradiation [kWh/m2] (3) DIF – Diffuse horizontal irradiation [kWh/m2] (4) GTI – Global irradiation for optimally tilted surface [kWh/m2] (5) OPTA – Optimum tilt to maximize yearly yield [°] (6) DNI – Direct normal irradiation [kWh/m2].

Developed by SOLARGIS and provided by the Global Solar Atlas (GSA), this data resource contains direct normal irradiation (DNI) in kWh/m² covering the globe. Data is provided in a geographic spatial reference (EPSG:4326). The resolution (pixel size) of solar resource data (GHI, DIF, GTI, DNI) is 9 arcsec (nominally 250 m), PVOUT and TEMP 30 arcsec (nominally 1 km) and OPTA 2 arcmin (nominally 4 km). The data is hyperlinked under 'resources' with the following characteristics: DNI LTAy_AvgDailyTotals (GeoTIFF) Data format: GEOTIFF File size : 343.99 MB There are two temporal representation of solar resource and PVOUT data available: • Longterm yearly/monthly average of daily totals (LTAym_AvgDailyTotals) • Longterm average of yearly/monthly totals (LTAym_YearlyMonthlyTotals) Both type of data are equivalent, you can select the summarization of your preference. The relation between datasets is described by simple equations: • LTAy_YearlyTotals = LTAy_DailyTotals * 365.25 • LTAy_MonthlyTotals = LTAy_DailyTotals * Number_of_Days_In_The_Month For individual country or regional data downloads please see: https://globalsolaratlas.info/download (use the drop-down menu to select country or region of interest) For data provided in AAIGrid please see: https://globalsolaratlas.info/download/world. For more information and terms of use, please, read metadata, provided in PDF and XML format for each data layer in a download file. For other data formats, resolution or time aggregation, please, visit Solargis website. Data can be used for visualization, further processing, and geo-analysis in all mainstream GIS software with raster data processing capabilities (such as open source QGIS, commercial ESRI ArcGIS products and others).

Developed by SOLARGIS (https://solargis.com) and provided by the Global Solar Atlas (GSA), this data resource contains photovoltaic power potential (PVOUT) in kWh/kWp covering the globe. Data is provided in a geographic spatial reference (EPSG:4326). The resolution (pixel size) of solar resource data (GHI, DIF, GTI, DNI) is 9 arcsec (nominally 250 m), PVOUT and TEMP 30 arcsec (nominally 1 km) and OPTA 2 arcmin (nominally 4 km). The data is hyperlinked under 'resources' with the following characteristics: PVOUT - LTAy_AvgDailyTotals (GeoTIFF) Data format: GEOTIFF File size : 3.6 GB There are two temporal representation of solar resource and PVOUT data available: • Longterm yearly/monthly average of daily totals (LTAym_AvgDailyTotals) • Longterm average of yearly/monthly totals (LTAym_YearlyMonthlyTotals) Both type of data are equivalent, you can select the summarization of your preference. The relation between datasets is described by simple equations: • LTAy_YearlyTotals = LTAy_DailyTotals * 365.25 • LTAy_MonthlyTotals = LTAy_DailyTotals * Number_of_Days_In_The_Month For individual country or regional data downloads please see: https://globalsolaratlas.info/download (use the drop-down menu to select country or region of interest) For data provided in AAIGrid please see: https://globalsolaratlas.info/download/world. For more information and terms of use, please, read metadata, provided in PDF and XML format for each data layer in a download file. For other data formats, resolution or time aggregation, please, visit Solargis website. Data can be used for visualization, further processing, and geo-analysis in all mainstream GIS software with raster data processing capabilities (such as open source QGIS, commercial ESRI ArcGIS products and others).

Map with solar irradiation and PV power potential in Pakistan. The GIS data (AAIGRID and GEOTIFF) stems from the Global Solar Atlas (http://globalsolaratlas.info). The link also provides a poster size (.tif) and midsize map (.png). The Global Solar Atlas is continuously updated. Provided GIS data layers include long-term yearly average of: (1) PVOUT – Photovoltaic power potential kWh/kWp GHI – Global horizontal irradiation kWh/m2 DIF – Diffuse horizontal irradiation kWh/m2 GTI – Global irradiation for optimally tilted surface kWh/m2 OPTA – Optimum tilt to maximize yearly yield ° DNI – Direct normal irradiation [kWh/m2].

This web mapping application gives estimates of the electricity that can be generated by grid-connected photovoltaic systems without batteries (in kWh/kWp) and of the mean daily global insolation (in MJ/m2 and in kWh/m2) for any location in Canada on a 60 arc seconds ~2 km grid. They are presented for each month and for the entire year, for six different PV array orientations: a sun-tracking orientation and five fixed South-facing orientations with latitude, vertical (90°), horizontal (0°) and latitude ± 15° tilts. Data can also be obtained directly for individual municipalities from a list of over 3500 municipalities or downloaded for all municipalities at once. These maps and datasets were developed by the Canadian Forest Service (Great Lakes Forestry Centre) in collaboration with the CanmetENERGY Photovoltaic systems group and the Federal Geospatial Platform. Insolation data were provided by Environment and Climate Change Canada. Web map application developed by Federal Geospatial Platform, 2020. References: Pelland S., McKenney D. W., Poissant Y., Morris R., Lawrence K., Campbell K. and Papadopol P., 2006. The Development of Photovoltaic Resource Maps for Canada, In Proceedings of the Annual Conference of the Solar Energy Society of Canada (SESCI) 2006. McKenney D. W., Pelland S., Poissant Y., Morris R., Hutchinson M, Papadopol P., Lawrence K. and Campbell K., 2008. Spatial insolation models for photovoltaic energy in Canada, Solar Energy 82, pp. 1049–1061.

The global market for solar resource assessment software is experiencing robust growth, driven by the increasing demand for renewable energy and the need for efficient solar power plant development. The market size in 2025 is estimated at $250 million, exhibiting a Compound Annual Growth Rate (CAGR) of 12% from 2025 to 2033. This growth is fueled by several key factors: the expanding solar energy sector globally, stringent government regulations promoting renewable energy adoption, advances in software capabilities offering more accurate and detailed assessments, and the decreasing costs of solar technology making it more accessible. The segment for paid, commercial applications currently dominates the market share, reflecting the preference of large-scale solar developers for sophisticated, feature-rich software solutions that ensure optimal project planning and profitability. However, the free and personal application segments are also showing promising growth, catering to smaller-scale projects, educational institutions, and individual users exploring solar energy options. Geographic expansion into developing economies with high solar irradiance presents significant opportunities for market expansion. The continued growth trajectory is expected to be influenced by factors such as technological advancements leading to improved prediction accuracy and integration with other renewable energy modeling tools. Increased investment in research and development within the sector, coupled with the expanding adoption of cloud-based software solutions, will contribute to market expansion. However, challenges such as the need for accurate and reliable meteorological data, the complexity of software usage for non-experts, and the potential for market saturation in certain regions might impede growth to some degree. Nevertheless, the long-term outlook for the solar resource assessment software market remains positive, with a substantial increase in market value projected throughout the forecast period, driven by the relentless push towards global decarbonization and the escalating adoption of sustainable energy solutions.

Electrical energy produced by a photovoltaic system (PVOUT) from the Global Solar Atlas. The PVOUT is the electrical energy that can be produced per capacity installed. It is reported as the total PVOUT (kWh/kWp per year) and also the monthly rates (kWh/kWp x1000 per day).These layers are processing templates from the Global Solar Atlas image service.What can you do with these layers?These layers can be used to estimate the annual energy yield of a PV system and compare its inter-annual variation.Associated web mapsHorizontal and tilted irradiationsDirect and diffuse irradiationsCell Size: 30 arc-secondsSource Type: ContinousPixel Type: IntegerProjection: GCS WGS84Extent: GlobalSource: Global Solar AtlasArcGIS Server URL: https://earthobs3.arcgis.com/arcgis

GIS data for India's direct normal irradiance (DNI) and global horizontal irradiance. Provides 10-kilometer (km) solar resource maps and data for India. The 10-km hourly solar resource data were developed using weather satellite (METEOSAT) measurements incorporated into a site-time specific solar modeling approach developed at the U.S. State University of New York at Albany. The data is made publicly available in geographic information system (GIS) format (shape files etc). The new maps and data were released in June 2013. The new data expands the time period of analysis from 2002-2007 to 2002-2011 and incorporates enhanced aerosols information to improve direct normal irradiance (DNI). These products were developed by the U.S. National Renewable Energy Laboratory (NREL) in cooperation with India's Ministry of New and Renewable Energy, through funding from the U.S. Department of Energy and U.S. Department of State.

Map with Global Horizontal Irradiation (GHI), Direct Normal Irradiation (DNI) and PV power potential in Latin America and Caribbean. The GIS data stems from the Global Solar Atlas (http://globalsolaratlas.info). The link provides poster size (.tif) and midsize maps (.png).

Map with solar irradiation and PV power potential in Mexico. The GIS data (AAIGRID and GEOTIFF) stems from the Global Solar Atlas (http://globalsolaratlas.info). The link also provides a poster size (.tif) and midsize map (.png). The Global Solar Atlas is continuously updated. Provided GIS data layers include long-term yearly average of: (1) PVOUT – Photovoltaic power potential kWh/kWp GHI – Global horizontal irradiation kWh/m2 DIF – Diffuse horizontal irradiation kWh/m2 GTI – Global irradiation for optimally tilted surface kWh/m2 OPTA – Optimum tilt to maximize yearly yield ° DNI – Direct normal irradiation [kWh/m2].

Map with solar irradiation and PV power potential in Armenia. The GIS data (AAIGRID and GEOTIFF) stems from the Global Solar Atlas (http://globalsolaratlas.info). The link also provides a poster size (.tif) and midsize map (.png). The Global Solar Atlas is continuously updated. Provided GIS data layers include long-term yearly average of: (1) PVOUT – Photovoltaic power potential kWh/kWp GHI – Global horizontal irradiation kWh/m2 DIF – Diffuse horizontal irradiation kWh/m2 GTI – Global irradiation for optimally tilted surface kWh/m2 OPTA – Optimum tilt to maximize yearly yield ° DNI – Direct normal irradiation [kWh/m2].

Map with Global Horizontal Irradiation (GHI), Direct Normal Irradiation (DNI) and PV power potential in South Asia. The GIS data stems from the Global Solar Atlas (http://globalsolaratlas.info). The link provides poster size (.tif) and midsize maps (.png).

Map with solar irradiation and PV power potential in Georgia. The GIS data (AAIGRID and GEOTIFF) stems from the Global Solar Atlas (http://globalsolaratlas.info). The link also provides a poster size (.tif) and midsize map (.png). The Global Solar Atlas is continuously updated. Provided GIS data layers include long-term yearly average of: (1) PVOUT – Photovoltaic power potential kWh/kWp GHI – Global horizontal irradiation kWh/m2 DIF – Diffuse horizontal irradiation kWh/m2 GTI – Global irradiation for optimally tilted surface kWh/m2 OPTA – Optimum tilt to maximize yearly yield ° DNI – Direct normal irradiation [kWh/m2].

Map with solar irradiation and PV power potential in South Africa. The GIS data stems from the Global Solar Atlas (http://globalsolaratlas.info). The link also provides a poster size (.tif) and midsize map (.png). The Global Solar Atlas is continuously updated.

Provided GIS data layers include long-term yearly average of: (1) PVOUT – Photovoltaic power potential [kWh/kWp] (2) GHI – Global horizontal irradiation [kWh/m2] (3) DIF – Diffuse horizontal irradiation [kWh/m2] (4) GTI – Global irradiation for optimally tilted surface [kWh/m2] (5) OPTA – Optimum tilt to maximize yearly yield [°] (6) DNI – Direct normal irradiation [kWh/m2]