As of March 2025, the median download speeds of mobile and fixed broadband services worldwide were within a similar range, at 90.64 and 98.31 Mbps respectively. However, the median upload speed for fixed broadband was significantly higher than that of mobile, with fixed services more suitable for data-intensive online activities such as multiplayer gaming.

As of August 2024, the United Arab Emirates (UAE) had the fastest average fixed broadband internet speed worldwide, with an average of 297.62 Mbps. Singapore ranked a close second at 297.57 Mbps, while Hong Kong followed in third. Fixed internet connections deliver broadband to a home, office, or other fixed location, with fiber connections offering the best quality service.

Fixed broadband internet speeds are expected to increase by almost 50 Mbps from 2020 to 2023, eventually reaching 110.4 Mbps. The compound annual growth rate for the whole period from 2018 to 2023 is 20 percent.

The statistic shows the countries with the highest average internet connection speed during the first quarter of 2017, measured in Megabits per second. During that quarter, IPv4 internet connections in Norway averaged a connection speed of 23.5 Mbps. The global average IPv4 connection speed was 7.2 Mbps.

Average connection speeds are higher in developed Asian countries; South Korea leads with an average connection speed of 28.6 Mbps. This is a growth of more than 9.3 percent to the first quarter of the previous year.

The U.S. states with the highest average internet connection speed include Delaware, District of Columbia and Utah, with first-ranking D.C. having an average connection speed of some 28.1 Mbps as of the first quarter of 2017.

As of the same period, 83 percent of internet users in South Korea enjoyed a connection speed of over 10 Mbps, which is classed as high broadband connectivity. Next in the 10 Mbps broadband adoption rate ranking are Switzerland and the Singapore with 73 percent of high broadband connectivity each. Both Switzerland and Singapore's relatively small size combined with their wealth are a significant factor in terms of telecommunications infrastructure upgrades.

Up until the beginning of 2014, average connection speeds worldwide were under 4 Mbps and by the fourth quarter of 2016, global connection speed averaged at 7 Mbps.

As of June 2024, Qatar had the fastest average mobile internet connection worldwide, nearly 335 Mbps. The United Arab Emirates (UAE) followed, registering average median speed above 323 Mbps. Fixed-connection speeds around the world When it comes to fixed broadband connections, Singapore tops the list of countries by average connection speed. Internet users in Singapore achieve an average fixed broadband connection speed of 242.01 Mbps, slightly faster than the 222.49 Mbps achieved in Chile, the second-placed country on the speed rankings. 5G and 6G – the future of mobile broadband In countries where it is in use, 5G is already bringing faster mobile internet connection speeds than ever before. In Saudi Arabia for example, the average 4G connection speed sits at 28.9 Mbps, and this speed jumps to 414.2 Mbps on a 5G connection. Now that 5G is commercially available, researchers have already turned their attention to 6G. Operating at a higher spectrum band, 6G will allow connections several times faster than 5G. User experienced data rates of 5G sit at 100 Mbps, and this speed is expected to climb to 1,000 Mbps on 6G connections. 6G is expected to not only provide faster speeds, but also enable more devices to connect to a network without causing congestion as it has a connection density ten times greater than that of 5G.

AboutSpeedtest data is used today by commercial fixed and mobile network operators around the world to inform network buildout, improve global Internet quality, and increase Internet accessibility. Government regulators such as the United States Federal Communications Commission and the Malaysian Communications and Multimedia Commission use Speedtest data to hold telecommunications entities accountable and direct funds for rural and urban connectivity development. Ookla licenses data to NGOs and educational institutions to fulfill its mission: to help make the internet better, faster and more accessible for everyone. Ookla hopes to further this mission by distributing the data to make it easier for individuals and organizations to use it for the purposes of bridging the social and economic gaps between those with and without modern Internet access.DataOverviewTilesHundreds of millions of Speedtests are taken on the Ookla platform each month. In order to create a manageable dataset, we aggregate raw data into tiles. The size of a data tile is defined as a function of "zoom level" (or "z"). At z=0, the size of a tile is the size of the whole world. At z=1, the tile is split in half vertically and horizontally, creating 4 tiles that cover the globe. This tile-splitting continues as zoom level increases, causing tiles to become exponentially smaller as we zoom into a given region. By this definition, tile sizes are actually some fraction of the width/height of Earth according to Web Mercator projection (EPSG:3857). As such, tile size varies slightly depending on latitude, but tile sizes can be estimated in meters.For the purposes of these layers, a zoom level of 16 (z=16) is used for the tiling. This equates to a tile that is approximately 610.8 meters by 610.8 meters at the equator (18 arcsecond blocks). The geometry of each tile is represented in WGS 84 (EPSG:4326) in the tile field.The data can be found at: https://github.com/teamookla/ookla-open-dataUpdate CadenceThe tile aggregates start in Q1 2019 and go through the most recent quarter. They will be updated shortly after the conclusion of the quarter.Esri ProcessingThis layer is a best available aggregation of the original Ookla dataset. This means that for each tile that data is available, the most recent data is used. So for instance, if data is available for a tile for Q2 2019 and for Q4 2020, the Q4 2020 data is awarded to the tile. The default visualization for the layer is the "broadband index". The broadband index is a bivariate index based on both the average download speed and the average upload speed. For Mobile, the score is indexed to a standard of 35 megabits per second (Mbps) download and 3 Mbps upload. A tile with average Speedtest results of 25/3 Mbps is awarded 100 points. Tiles with average speeds above 25/3 are shown in green, tiles with average speeds below this are shown in fuchsia. For Fixed, the score is indexed to a standard of 100 Mbps download and 3 Mbps upload. A tile with average Speedtest results of 100/20 Mbps is awarded 100 points. Tiles with average speeds above 100/20 are shown in green, tiles with average speeds below this are shown in fuchsia.Tile AttributesEach tile contains the following attributes:The year and the quarter that the tests were performed.The average download speed of all tests performed in the tile, represented in megabits per second.The average upload speed of all tests performed in the tile, represented in megabits per second.The average latency of all tests performed in the tile, represented in millisecondsThe number of tests taken in the tile.The number of unique devices contributing tests in the tile.The quadkey representing the tile.QuadkeysQuadkeys can act as a unique identifier for the tile. This can be useful for joining data spatially from multiple periods (quarters), creating coarser spatial aggregations without using geospatial functions, spatial indexing, partitioning, and an alternative for storing and deriving the tile geometry.LayersThere are two layers:Ookla_Mobile_Tiles - Tiles containing tests taken from mobile devices with GPS-quality location and a cellular connection type (e.g. 4G LTE, 5G NR).Ookla_Fixed_Tiles - Tiles containing tests taken from mobile devices with GPS-quality location and a non-cellular connection type (e.g. WiFi, ethernet).The layers are set to draw at scales 1:3,000,000 and larger.Time Period and Update FrequencyLayers are generated based on a quarter year of data (three months) and files will be updated and added on a quarterly basis. A year=2020/quarter=1, the first quarter of the year 2020, would include all data generated on or after 2020-01-01 and before 2020-04-01.Data is subject to be reaggregated regularly in order to honor Data Subject Access Requests (DSAR) as is applicable in certain jurisdictions under laws including but not limited to General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), and Lei Geral de Proteção de Dados (LGPD). Therefore, data accessed at different times may result in variation in the total number of tests, tiles, and resulting performance metrics.

The statistic shows the average global internet connection speed. In the first quarter of 2017, the measured average global IPv4 internet connection speed was 7.2 Mbps, up from 7 Mbps in the preceding quarter. As of that period, South Korea ranked first in terms of highest average internet connection speed which was almost four times as fast as the global average.

This dataset provides values for INTERNET SPEED reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

This data is used for a broadband mapping initiative conducted by the Washington State Broadband Office. This dataset provides global fixed broadband and mobile (cellular) network performance metrics in zoom level 16 web mercator tiles (approximately 610.8 meters by 610.8 meters at the equator). Data is projected in EPSG:4326. Download speed, upload speed, and latency are collected via the Speedtest by Ookla applications for Android and iOS and averaged for each tile. Measurements are filtered to results containing GPS-quality location accuracy. The data was processed and published to ArcGIS Living Atlas by Esri.AboutSpeedtest data is used today by commercial fixed and mobile network operators around the world to inform network buildout, improve global Internet quality, and increase Internet accessibility. Government regulators such as the United States Federal Communications Commission and the Malaysian Communications and Multimedia Commission use Speedtest data to hold telecommunications entities accountable and direct funds for rural and urban connectivity development. Ookla licenses data to NGOs and educational institutions to fulfill its mission: to help make the internet better, faster and more accessible for everyone. Ookla hopes to further this mission by distributing the data to make it easier for individuals and organizations to use it for the purposes of bridging the social and economic gaps between those with and without modern Internet access.DataHundreds of millions of Speedtests are taken on the Ookla platform each month. In order to create a manageable dataset, we aggregate raw data into tiles. The size of a data tile is defined as a function of "zoom level" (or "z"). At z=0, the size of a tile is the size of the whole world. At z=1, the tile is split in half vertically and horizontally, creating 4 tiles that cover the globe. This tile-splitting continues as zoom level increases, causing tiles to become exponentially smaller as we zoom into a given region. By this definition, tile sizes are actually some fraction of the width/height of Earth according to Web Mercator projection (EPSG:3857). As such, tile size varies slightly depending on latitude, but tile sizes can be estimated in meters.For the purposes of these layers, a zoom level of 16 (z=16) is used for the tiling. This equates to a tile that is approximately 610.8 meters by 610.8 meters at the equator (18 arcsecond blocks). The geometry of each tile is represented in WGS 84 (EPSG:4326) in the tile field.The data can be found at: https://github.com/teamookla/ookla-open-dataUpdate CadenceThe tile aggregates start in Q1 2019 and go through the most recent quarter. They will be updated shortly after the conclusion of the quarter.Esri ProcessingThis layer is a best available aggregation of the original Ookla dataset. This means that for each tile that data is available, the most recent data is used. So for instance, if data is available for a tile for Q2 2019 and for Q4 2020, the Q4 2020 data is awarded to the tile. The default visualization for the layer is the "broadband index". The broadband index is a bivariate index based on both the average download speed and the average upload speed. For Mobile, the score is indexed to a standard of 25 megabits per second (Mbps) download and 3 Mbps upload. A tile with average Speedtest results of 25/3 Mbps is awarded 100 points. Tiles with average speeds above 25/3 are shown in green, tiles with average speeds below this are shown in fuchsia. For Fixed, the score is indexed to a standard of 100 Mbps download and 3 Mbps upload. A tile with average Speedtest results of 100/20 Mbps is awarded 100 points. Tiles with average speeds above 100/20 are shown in green, tiles with average speeds below this are shown in fuchsia.Tile AttributesEach tile contains the following adjoining attributes:The year and the quarter that the tests were performed.The average download speed of all tests performed in the tile, represented in megabits per second.The average upload speed of all tests performed in the tile, represented in megabits per second.The average latency of all tests performed in the tile, represented in millisecondsThe number of tests taken in the tile.The number of unique devices contributing tests in the tile.The quadkey representing the tile.QuadkeysQuadkeys can act as a unique identifier for the tile. This can be useful for joining data spatially from multiple periods (quarters), creating coarser spatial aggregations without using geospatial functions, spatial indexing, partitioning, and an alternative for storing and deriving the tile geometry.LayersThere are two layers:Ookla_Mobile_Tiles - Tiles containing tests taken from mobile devices with GPS-quality location and a cellular connection type (e.g. 4G LTE, 5G NR).Ookla_Fixed_Tiles - Tiles containing tests taken from mobile devices with GPS-quality location and a non-cellular connection type (e.g. WiFi, ethernet).The layers are set to draw at scales 1:3,000,000 and larger.Time Period and update Frequency Layers are generated based on a quarter year of data (three months) and files will be updated and added on a quarterly basis. A /year=2020/quarter=1/ period, the first quarter of the year 2020, would include all data generated on or after 2020-01-01 and before 2020-04-01.

An analysis of average internet speeds across U.S. states in 2023, highlighting the fastest and slowest regions.

Within the Asia Pacific region, South Korea had the highest average IPv4 internet connection speed at 28.6 megabits per second (Mbps). Considering this, it comes as no surprise that South Korea also had the highest internet penetration rate and the highest 4G download speed  across Asia. This was due to governmental efforts to facilitate the expansion and improvement of internet. 

Current state of internet in Asia 

Although Singapore had the third-fastest average IPv4 connection speed as of 2017, in 2018, it nonetheless had the fastest internet overall with a mean download speed of 60.39 Mbps, surpassing larger countries such as the U.S. and Germany.  Although India and the Philippines had the lowest average internet connection speeds, its year-on-year growth was higher than the leading countries with respectively 87% and 57%. In the Philippines, the government carried out a National Broadband Plan (NBP) to increase nationwide internet access. Similarly, the Indian government had also proposed a national broadband network to connect all cities and villages. 

Internet connection speed explained 

Megabits per second (Mbps) refer to the speed with which information can be downloaded or uploaded from and to the internet. For the Federal Communications Commission, a sufficient broadband internet connection requires a minimum of 25 Mbps for downloads and 3 Mbps for uploads. In the world of internet, connection speeds above 20 Mbps enable swift web surfing, HD content streaming as well as fast downloads. 

Ukraine UA: Fixed Broadband Internet Subscribers data was reported at 5,239,743.000 Person in 2017. This records an increase from the previous number of 5,125,499.000 Person for 2016. Ukraine UA: Fixed Broadband Internet Subscribers data is updated yearly, averaging 3,170,384.000 Person from Dec 2005 (Median) to 2017, with 13 observations. The data reached an all-time high of 5,239,743.000 Person in 2017 and a record low of 130,000.000 Person in 2005. Ukraine UA: Fixed Broadband Internet Subscribers data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Ukraine – Table UA.World Bank: Telecommunication. Fixed broadband subscriptions refers to fixed subscriptions to high-speed access to the public Internet (a TCP/IP connection), at downstream speeds equal to, or greater than, 256 kbit/s. This includes cable modem, DSL, fiber-to-the-home/building, other fixed (wired)-broadband subscriptions, satellite broadband and terrestrial fixed wireless broadband. This total is measured irrespective of the method of payment. It excludes subscriptions that have access to data communications (including the Internet) via mobile-cellular networks. It should include fixed WiMAX and any other fixed wireless technologies. It includes both residential subscriptions and subscriptions for organizations.; ; International Telecommunication Union, World Telecommunication/ICT Development Report and database.; Sum; Please cite the International Telecommunication Union for third-party use of these data.

United States US: Fixed Broadband Internet Subscribers: per 100 People data was reported at 33.853 Ratio in 2017. This records an increase from the previous number of 33.002 Ratio for 2016. United States US: Fixed Broadband Internet Subscribers: per 100 People data is updated yearly, averaging 24.639 Ratio from Dec 1998 (Median) to 2017, with 20 observations. The data reached an all-time high of 33.853 Ratio in 2017 and a record low of 0.256 Ratio in 1998. United States US: Fixed Broadband Internet Subscribers: per 100 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Telecommunication. Fixed broadband subscriptions refers to fixed subscriptions to high-speed access to the public Internet (a TCP/IP connection), at downstream speeds equal to, or greater than, 256 kbit/s. This includes cable modem, DSL, fiber-to-the-home/building, other fixed (wired)-broadband subscriptions, satellite broadband and terrestrial fixed wireless broadband. This total is measured irrespective of the method of payment. It excludes subscriptions that have access to data communications (including the Internet) via mobile-cellular networks. It should include fixed WiMAX and any other fixed wireless technologies. It includes both residential subscriptions and subscriptions for organizations.; ; International Telecommunication Union, World Telecommunication/ICT Development Report and database.; Weighted average; Please cite the International Telecommunication Union for third-party use of these data.

Virgin Islands (British) VG: Fixed Broadband Internet Subscribers per 100 People data was reported at 17.808 Ratio in 2022. This records a decrease from the previous number of 20.887 Ratio for 2021. Virgin Islands (British) VG: Fixed Broadband Internet Subscribers per 100 People data is updated yearly, averaging 19.350 Ratio from Dec 2009 (Median) to 2022, with 14 observations. The data reached an all-time high of 28.253 Ratio in 2009 and a record low of 13.605 Ratio in 2018. Virgin Islands (British) VG: Fixed Broadband Internet Subscribers per 100 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Virgin Islands (British) – Table VG.World Bank.WDI: Telecommunication. Fixed broadband subscriptions refers to fixed subscriptions to high-speed access to the public Internet (a TCP/IP connection), at downstream speeds equal to, or greater than, 256 kbit/s. This includes cable modem, DSL, fiber-to-the-home/building, other fixed (wired)-broadband subscriptions, satellite broadband and terrestrial fixed wireless broadband. This total is measured irrespective of the method of payment. It excludes subscriptions that have access to data communications (including the Internet) via mobile-cellular networks. It should include fixed WiMAX and any other fixed wireless technologies. It includes both residential subscriptions and subscriptions for organizations.;International Telecommunication Union (ITU) World Telecommunication/ICT Indicators Database;Weighted average;Please cite the International Telecommunication Union for third-party use of these data.

This statistic shows a ranking of the estimated average internet connection speed in 2020 in the Middle East and North Africa (MENA), differentiated by country. The speed refers to a weighted average of fixed- and mobile broadband connection speeds. Fixed-broadband connections are weighted with the household size in the selected region to account for the fact that these connections are usually shared by multiple household members.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in more than 150 countries and regions worldwide. All input data are sourced from international institutions, national statistical offices, and trade associations. All data has been are processed to generate comparable datasets (see supplementary notes under details for more information).

This is an Australian extract of Speedtest Open data available at Amazon WS (link below - opendata.aws).AWS data licence is "CC BY-NC-SA 4.0", so use of this data must be:- non-commercial (NC)- reuse must be share-alike (SA)(add same licence).This restricts the standard CC-BY Figshare licence.A world speedtest open data was dowloaded (>400Mb, 7M lines of data). An extract of Australia's location (lat, long) revealed 88,000 lines of data (attached as csv).A Jupyter notebook of extract process is attached.See Binder version at Github - https://github.com/areff2000/speedtestAU.+> Install: 173 packages | Downgrade: 1 packages | Total download: 432MBBuild container time: approx - load time 25secs.=> Error: Timesout - BUT UNABLE TO LOAD GLOBAL DATA FILE (6.6M lines).=> Error: Overflows 8GB RAM container provided with global data file (3GB)=> On local JupyterLab M2 MBP; loads in 6 mins.Added Binder from ARDC service: https://binderhub.rc.nectar.org.auDocs: https://ardc.edu.au/resource/fair-for-jupyter-notebooks-a-practical-guide/A link to Twitter thread of outputs provided.A link to Data tutorial provided (GitHub), including Jupyter Notebook to analyse World Speedtest data, selecting one US State.Data Shows: (Q220)- 3.1M speedtests- 762,000 devices- 88,000 grid locations (600m * 600m), summarised as a point- average speed 33.7Mbps (down), 12.4M (up)- Max speed 724Mbps- data is for 600m * 600m grids, showing average speed up/down, number of tests, and number of users (IP). Added centroid, and now lat/long.See tweet of image of centroids also attached.NB: Discrepancy Q2-21, Speedtest Global shows June AU average speedtest at 80Mbps, whereas Q2 mean is 52Mbps (v17; Q1 45Mbps; v14). Dec 20 Speedtest Global has AU at 59Mbps. Could be possible timing difference. Or spatial anonymising masking shaping highest speeds. Else potentially data inconsistent between national average and geospatial detail. Check in upcoming quarters.NextSteps:Histogram - compare Q220, Q121, Q122. per v1.4.ipynb.Versions:v38: Added AUS Q324 (92k lines avg d/l 107.0 Mbps u/l 20.79 Mbps). Imported using v2 Jupiter notebook (iMac 32Gb). Mean tests: 17.7. Mean devices: 5.33.Added github speedtest-workflow-importv2vis.ipynb Jupyter added datavis code to colour code national map. (per Binder on Github; link below).v37: Added AUS Q224 (91k lines avg d/l 97.40 Mbps u/l 19.88 Mbps). Imported using speedtest-workflow-importv2 jupyter notebook. Mean tests:18.1. Mean devices: 5.4. v36 Load UK data, Q1-23 and compare to AUS and NZ Q123 data. Add compare image (au-nz-ukQ123.png), calc PlayNZUK.ipynb, data load import-UK.ipynb. UK data bit rough and ready as uses rectangle to mark out UK, but includes some EIRE and FR. Indicative only and to be definitively needs geo-clean to exclude neighbouring countries.v35 Load Melb geo-maps of speed quartiles (0-25, 25-50, 50-75, 75-100, 100-). Avg in 2020; 41Mbps. Avg in 2023; 86Mbps. MelbQ323.png, MelbQ320.png. Calc with Speedtest-incHist.ipynb code. Needed to install conda mapclassify. ax=melb.plot(column=...dict(bins[25,50,75,100]))v34 Added AUS Q124 (93k lines avg d/l 87.00 Mbps u/l 18.86 Mbps). Imported using speedtest-workflow-importv2 jupyter notebook. Mean tests:18.3. Mean devices: 5.5.v33 Added AUS Q423 (92k lines avg d/l 82.62 Mbps). Imported using speedtest-workflow-importv2 jupyter notebook. Mean tests:18.0. Mean devices: 5.6. Added link to Github.v32 Recalc Au vs NZ for upload performance; added image. using PlayNZ Jupyter. NZ approx 40% locations at or above 100Mbps. Aus

AboutSpeedtest data is used today by commercial fixed and mobile network operators around the world to inform network buildout, improve global Internet quality, and increase Internet accessibility. Government regulators such as the United States Federal Communications Commission and the Malaysian Communications and Multimedia Commission use Speedtest data to hold telecommunications entities accountable and direct funds for rural and urban connectivity development. Ookla licenses data to NGOs and educational institutions to fulfill its mission: to help make the internet better, faster and more accessible for everyone. Ookla hopes to further this mission by distributing the data to make it easier for individuals and organizations to use it for the purposes of bridging the social and economic gaps between those with and without modern Internet access.DataOverviewTilesHundreds of millions of Speedtests are taken on the Ookla platform each month. In order to create a manageable dataset, we aggregate raw data into tiles. The size of a data tile is defined as a function of "zoom level" (or "z"). At z=0, the size of a tile is the size of the whole world. At z=1, the tile is split in half vertically and horizontally, creating 4 tiles that cover the globe. This tile-splitting continues as zoom level increases, causing tiles to become exponentially smaller as we zoom into a given region. By this definition, tile sizes are actually some fraction of the width/height of Earth according to Web Mercator projection (EPSG:3857). As such, tile size varies slightly depending on latitude, but tile sizes can be estimated in meters.For the purposes of these layers, a zoom level of 16 (z=16) is used for the tiling. This equates to a tile that is approximately 610.8 meters by 610.8 meters at the equator (18 arcsecond blocks). The geometry of each tile is represented in WGS 84 (EPSG:4326) in the tile field.The data can be found at: https://github.com/teamookla/ookla-open-dataUpdate CadenceThe tile aggregates start in Q1 2019 and go through the most recent quarter. They will be updated shortly after the conclusion of the quarter.Esri ProcessingThis layer is a best available aggregation of the original Ookla dataset. This means that for each tile that data is available, the most recent data is used. So for instance, if data is available for a tile for Q2 2019 and for Q4 2020, the Q4 2020 data is awarded to the tile. The default visualization for the layer is the "broadband index". The broadband index is a bivariate index based on both the average download speed and the average upload speed. For Mobile, the score is indexed to a standard of 25 megabits per second (Mbps) download and 3 Mbps upload. A tile with average Speedtest results of 25/3 Mbps is awarded 100 points. Tiles with average speeds above 25/3 are shown in green, tiles with average speeds below this are shown in fuchsia. For Fixed, the score is indexed to a standard of 100 Mbps download and 3 Mbps upload. A tile with average Speedtest results of 100/20 Mbps is awarded 100 points. Tiles with average speeds above 100/20 are shown in green, tiles with average speeds below this are shown in fuchsia.Tile AttributesEach tile contains the following adjoining attributes:The year and the quarter that the tests were performed.The average download speed of all tests performed in the tile, represented in megabits per second.The average upload speed of all tests performed in the tile, represented in megabits per second.The average latency of all tests performed in the tile, represented in millisecondsThe number of tests taken in the tile.The number of unique devices contributing tests in the tile.The quadkey representing the tile.QuadkeysQuadkeys can act as a unique identifier for the tile. This can be useful for joining data spatially from multiple periods (quarters), creating coarser spatial aggregations without using geospatial functions, spatial indexing, partitioning, and an alternative for storing and deriving the tile geometry.LayersThere are two layers:Ookla_Mobile_Tiles - Tiles containing tests taken from mobile devices with GPS-quality location and a cellular connection type (e.g. 4G LTE, 5G NR).Ookla_Fixed_Tiles - Tiles containing tests taken from mobile devices with GPS-quality location and a non-cellular connection type (e.g. WiFi, ethernet).The layers are set to draw at scales 1:3,000,000 and larger.Time Period and Update FrequencyLayers are generated based on a quarter year of data (three months) and files will be updated and added on a quarterly basis. A /year=2020/quarter=1/ period, the first quarter of the year 2020, would include all data generated on or after 2020-01-01 and before 2020-04-01.

Uruguay UY: Fixed Broadband Internet Subscribers: per 100 People data was reported at 27.482 Ratio in 2017. This records an increase from the previous number of 26.765 Ratio for 2016. Uruguay UY: Fixed Broadband Internet Subscribers: per 100 People data is updated yearly, averaging 12.667 Ratio from Dec 2004 (Median) to 2017, with 14 observations. The data reached an all-time high of 27.482 Ratio in 2017 and a record low of 0.812 Ratio in 2004. Uruguay UY: Fixed Broadband Internet Subscribers: per 100 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Uruguay – Table UY.World Bank: Telecommunication. Fixed broadband subscriptions refers to fixed subscriptions to high-speed access to the public Internet (a TCP/IP connection), at downstream speeds equal to, or greater than, 256 kbit/s. This includes cable modem, DSL, fiber-to-the-home/building, other fixed (wired)-broadband subscriptions, satellite broadband and terrestrial fixed wireless broadband. This total is measured irrespective of the method of payment. It excludes subscriptions that have access to data communications (including the Internet) via mobile-cellular networks. It should include fixed WiMAX and any other fixed wireless technologies. It includes both residential subscriptions and subscriptions for organizations.; ; International Telecommunication Union, World Telecommunication/ICT Development Report and database.; Weighted average; Please cite the International Telecommunication Union for third-party use of these data.

This data is used for a broadband mapping initiative conducted by the Washington State Broadband Office.This dataset provides global fixed broadband and mobile (cellular) network performance metrics in zoom level 16 web mercator tiles (approximately 610.8 meters by 610.8 meters at the equator). Data is projected in EPSG:4326. Download speed, upload speed, and latency are collected via the Speedtest by Ookla applications for Android and iOS and averaged for each tile. Measurements are filtered to results containing GPS-quality location accuracy. The data was processed and published to ArcGIS Living Atlas by Esri.AboutSpeedtest data is used today by commercial fixed and mobile network operators around the world to inform network buildout, improve global Internet quality, and increase Internet accessibility. Government regulators such as the United States Federal Communications Commission and the Malaysian Communications and Multimedia Commission use Speedtest data to hold telecommunications entities accountable and direct funds for rural and urban connectivity development. Ookla licenses data to NGOs and educational institutions to fulfill its mission: to help make the internet better, faster and more accessible for everyone. Ookla hopes to further this mission by distributing the data to make it easier for individuals and organizations to use it for the purposes of bridging the social and economic gaps between those with and without modern Internet access.DataTilesHundreds of millions of Speedtests are taken on the Ookla platform each month. In order to create a manageable dataset, we aggregate raw data into tiles. The size of a data tile is defined as a function of "zoom level" (or "z"). At z=0, the size of a tile is the size of the whole world. At z=1, the tile is split in half vertically and horizontally, creating 4 tiles that cover the globe. This tile-splitting continues as zoom level increases, causing tiles to become exponentially smaller as we zoom into a given region. By this definition, tile sizes are actually some fraction of the width/height of Earth according to Web Mercator projection (EPSG:3857). As such, tile size varies slightly depending on latitude, but tile sizes can be estimated in meters.For the purposes of these layers, a zoom level of 16 (z=16) is used for the tiling. This equates to a tile that is approximately 610.8 meters by 610.8 meters at the equator (18 arcsecond blocks). The geometry of each tile is represented in WGS 84 (EPSG:4326) in the tile field.The data can be found at: https://github.com/teamookla/ookla-open-dataUpdate Cadence The tile aggregates start in Q1 2019 and go through the most recent quarter. They will be updated shortly after the conclusion of the quarter.Esri ProcessingThis layer is a best available aggregation of the original Ookla dataset. This means that for each tile that data is available, the most recent data is used. So for instance, if data is available for a tile for Q2 2019 and for Q4 2020, the Q4 2020 data is awarded to the tile. The default visualization for the layer is the "broadband index". The broadband index is a bivariate index based on both the average download speed and the average upload speed. For Mobile, the score is indexed to a standard of 25 megabits per second (Mbps) download and 3 Mbps upload. A tile with average Speedtest results of 25/3 Mbps is awarded 100 points. Tiles with average speeds above 25/3 are shown in green, tiles with average speeds below this are shown in fuchsia. For Fixed, the score is indexed to a standard of 100 Mbps download and 3 Mbps upload. A tile with average Speedtest results of 100/20 Mbps is awarded 100 points. Tiles with average speeds above 100/20 are shown in green, tiles with average speeds below this are shown in fuchsia.Tile Attributes Each tile contains the following adjoining attributes:The year and the quarter that the tests were performed.The average download speed of all tests performed in the tile, represented in megabits per second.The average upload speed of all tests performed in the tile, represented in megabits per second.The average latency of all tests performed in the tile, represented in millisecondsThe number of tests taken in the tile.The number of unique devices contributing tests in the tile.The quadkey representing the tile.QuadkeysQuadkeys can act as a unique identifier for the tile. This can be useful for joining data spatially from multiple periods (quarters), creating coarser spatial aggregations without using geospatial functions, spatial indexing, partitioning, and an alternative for storing and deriving the tile geometry.LayersThere are two layers:Ookla_Mobile_Tiles - Tiles containing tests taken from mobile devices with GPS-quality location and a cellular connection type (e.g. 4G LTE, 5G NR).Ookla_Fixed_Tiles - Tiles containing tests taken from mobile devices with GPS-quality location and a non-cellular connection type (e.g. WiFi, ethernet).The layers are set to draw at scales 1:3,000,000 and larger.Time Period and Update FrequencyLayers are generated based on a quarter year of data (three months) and files will be updated and added on a quarterly basis. A /year=2020/quarter=1/ period, the first quarter of the year 2020, would include all data generated on or after 2020-01-01 and before 2020-04-01.

According to Cognitive Market Research, the global Satellite Internet Market size will be USD 4121.2 million in 2024 and will expand at a compound annual growth rate (CAGR) of 34.30% from 2024 to 2031.

North America held the major market of more than 40% of the global revenue with a market size of USD 1648.48 million in 2024 and will grow at a compound annual growth rate (CAGR) of 32.5% from 2024 to 2031.
Europe accounted for a share of over 30% of the global market size of USD 1236.36 million.
Asia Pacific held the market of around 23% of the global revenue with a market size of USD 947.88 million in 2024 and will grow at a compound annual growth rate (CAGR) of 36.3% from 2024 to 2031.
The Latin America market will account for more than 5% of global revenue and have a market size of USD 206.06 million in 2024. It will grow at a compound annual growth rate (CAGR) of 33.7% from 2024 to 2031.
The Middle East and Africa held the major markets, accounting for around 2% of the global revenue. The market was USD 82.42 million in 2024 and will grow at a compound annual growth rate (CAGR) of 34.0% from 2024 to 2031.
The Commercial held the highest Satellite Internet Market revenue share in 2024.

Market Driver for the Satellite Internet Market

Connectivity in Underserved Areas to Increase the Demand Globally

The demand for satellite internet services is poised to increase globally due to the critical role they play in addressing connectivity challenges in underserved and remote areas. In many regions around the world, traditional terrestrial infrastructure such as fiber optics or cable networks is economically unviable or logistically impractical to deploy, leaving millions of people without access to reliable broadband connectivity. Satellite internet services offer a viable solution to bridge this digital divide by providing high-speed internet access to these underserved communities. By leveraging satellite communication technology, internet service providers can deliver broadband connectivity directly to homes, businesses, and institutions in rural, remote, and isolated regions, where other forms of connectivity are unavailable or inadequate.

As governments, non-profit organizations, and private enterprises increasingly recognize the importance of universal internet access for socioeconomic development, there is growing momentum to invest in satellite internet infrastructure and initiatives aimed at expanding broadband connectivity to underserved areas. Consequently, the demand for satellite internet services is expected to rise globally, driven by the need to connect the unconnected and ensure digital inclusion for all.

Emergency and Disaster Response to Propel Market Growth

Emergency and disaster response efforts worldwide are increasingly reliant on satellite internet services, driving significant growth in the market. Satellite internet plays a crucial role in providing essential communication lifelines during emergencies, natural disasters, and crisis situations when terrestrial networks are disrupted or overloaded. Its ability to deliver reliable and resilient connectivity enables emergency responders, relief organizations, government agencies, and affected communities to coordinate rescue operations, disseminate critical information, and communicate with stakeholders in real-time, even in the most remote or isolated areas.

As governments, humanitarian organizations, and private enterprises prioritize preparedness and resilience in the face of increasingly frequent and severe disasters, the demand for satellite internet services for emergency and disaster response continues to soar.

Market Restraint for the Satellite Internet Market

Latency and Signal Delay to Limit the Sales

Latency and signal delay pose significant challenges to the widespread adoption of satellite internet services, potentially limiting sales and market growth. Despite advancements in satellite technology, the inherent physics of signal transmission between Earth and satellites in geostationary orbit introduce unavoidable latency or delay in data transmission. This latency can impact real-time applications such as online gaming, video conferencing, and VoIP calls, leading to a suboptimal user experience. The noticeable delay in response times can frustrate users and hinder the seamless interaction required for certain activities. Additionally, latency issue...