This statistic shows the total business internet data traffic in the United States from 2016 to 2023. In 2017, total business internet traffic volume amounted to 56.7 billion gigabytes in the United States.

The statistic shows the share of business internet traffic by Wi-Fi in the United States from 2016 to 2023. In 2017, Wi-Fi data accounted for 36.47 percent of business internet traffic. By 2021, Wi-Fi's share of business internet traffic is projected to reach around 47 percent.

Internet traffic volume measures global IP traffic, or the amount of data being sent and received over the internet globally each month. Data and forecasts are sourced from Cisco Systems Inc.

According to data collected in the first half of 2021, five leading tech firms accounted for more than half of global data traffic. Google accounted for around ******* of global data traffic, with its share including traffic driven by its subsidiary video platform YouTube. Google is followed by Facebook with a share of around ** percent, while Netflix accounts for around * percent of traffic.

In January 2025 mobile devices excluding tablets accounted for over ** percent of web page views worldwide. Meanwhile, over ** percent of webpage views in Africa were generated via mobile. In contrast, just over half of web traffic in North America still took place via desktop connections with mobile only accounting for **** percent of total web traffic. While regional infrastructure remains an important factor in broadband vs. mobile coverage, most of the world has had their eyes on the recent 5G rollout across the globe, spearheaded by tech-leaders China and the United States. The number of mobile 5G subscriptions worldwide is forecast to reach more than ***** billion by 2028. Social media: room for growth in Africa and southern Asia Overall, more than ** percent of the world’s mobile internet subscribers are also active on social media. A fast-growing market, with newcomers such as TikTok taking the world by storm, marketers have been cashing in on social media’s reach. Overall, social media penetration is highest in Europe and America while in Africa and southern Asia, there is still room for growth. As of 2021, Facebook and Google-owned YouTube are the most popular social media platforms worldwide. Facebook and Instagram are most effective With nearly ***** billion users, it is no wonder that Facebook remains the social media avenue of choice for the majority of marketers across the world. Instagram, meanwhile, was the second most popular outlet. Both platforms are low-cost and support short-form content, known for its universal consumer appeal and answering to the most important benefits of using these kind of platforms for business and advertising purposes.

In 1995, only 0.77% of the world’s population was online. Fast forward to 2025, and nearly two-thirds of humanity now live a connected life. Whether it's streaming news on a smart fridge in Texas or running a full business from a beach in Bali, the internet is no longer a...

Context

The data presented here was obtained in a Kali Machine from University of Cincinnati,Cincinnati,OHIO by carrying out packet captures for 1 hour during the evening on Oct 9th,2023 using Wireshark.This dataset consists of 394137 instances were obtained and stored in a CSV (Comma Separated Values) file.This large dataset could be used utilised for different machine learning applications for instance classification of Network traffic,Network performance monitoring,Network Security Management , Network Traffic Management ,network intrusion detection and anomaly detection.

The dataset can be used for a variety of machine learning tasks, such as network intrusion detection, traffic classification, and anomaly detection.

Content :

This network traffic dataset consists of 7 features.Each instance contains the information of source and destination IP addresses, The majority of the properties are numeric in nature, however there are also nominal and date kinds due to the Timestamp.

The network traffic flow statistics (No. Time Source Destination Protocol Length Info) were obtained using Wireshark (https://www.wireshark.org/).

Dataset Columns:

No : Number of Instance. Timestamp : Timestamp of instance of network traffic Source IP: IP address of Source Destination IP: IP address of Destination Portocol: Protocol used by the instance Length: Length of Instance Info: Information of Traffic Instance

Acknowledgements :

I would like thank University of Cincinnati for giving the infrastructure for generation of network traffic data set.

Ravikumar Gattu , Susmitha Choppadandi

Inspiration : This dataset goes beyond the majority of network traffic classification datasets, which only identify the type of application (WWW, DNS, ICMP,ARP,RARP) that an IP flow contains. Instead, it generates machine learning models that can identify specific applications (like Tiktok,Wikipedia,Instagram,Youtube,Websites,Blogs etc.) from IP flow statistics (there are currently 25 applications in total).

**Dataset License: ** CC0: Public Domain

Dataset Usages : This dataset can be used for different machine learning applications in the field of cybersecurity such as classification of Network traffic,Network performance monitoring,Network Security Management , Network Traffic Management ,network intrusion detection and anomaly detection.

ML techniques benefits from this Dataset :

This dataset is highly useful because it consists of 394137 instances of network traffic data obtained by using the 25 applications on a public,private and Enterprise networks.Also,the dataset consists of very important features that can be used for most of the applications of Machine learning in cybersecurity.Here are few of the potential machine learning applications that could be benefited from this dataset are :

1. Network Performance Monitoring : This large network traffic data set can be utilised for analysing the network traffic to identifying the network patterns in the network .This help in designing the network security algorithms for minimise the network probelms.

2. Anamoly Detection : Large network traffic dataset can be utilised training the machine learning models for finding the irregularitues in the traffic which could help identify the cyber attacks.

3.Network Intrusion Detection : This large dataset could be utilised for machine algorithms training and designing the models for detection of the traffic issues,Malicious traffic network attacks and DOS attacks as well.

Colombia Internet Traffic: Network Access Point: Edatel S.A data was reported at 0.000 GB in 27 Sep 2020. This stayed constant from the previous number of 0.000 GB for 26 Sep 2020. Colombia Internet Traffic: Network Access Point: Edatel S.A data is updated daily, averaging 0.000 GB from Mar 2020 (Median) to 27 Sep 2020, with 182 observations. The data reached an all-time high of 0.000 GB in 27 Sep 2020 and a record low of 0.000 GB in 27 Sep 2020. Colombia Internet Traffic: Network Access Point: Edatel S.A data remains active status in CEIC and is reported by Communications Regulation Commission. The data is categorized under Global Database’s Colombia – Table CO.TB004: Internet Traffic: by Provider.

Internet Traffic: DIRECTV data was reported at 1,357,380.860 GB in 27 Sep 2020. This records an increase from the previous number of 1,331,476.960 GB for 26 Sep 2020. Internet Traffic: DIRECTV data is updated daily, averaging 1,418,471.955 GB from Mar 2020 (Median) to 27 Sep 2020, with 182 observations. The data reached an all-time high of 1,555,359.130 GB in 26 Jul 2020 and a record low of 1,173,975.030 GB in 19 Sep 2020. Internet Traffic: DIRECTV data remains active status in CEIC and is reported by Communications Regulation Commission. The data is categorized under Global Database’s Colombia – Table CO.TB004: Internet Traffic: by Provider.

Video will dominate internet traffic, highlighting its role as the primary medium for digital communication.

Colombia Internet Traffic: Edatel S.A data was reported at 1,305,396.000 GB in 27 Sep 2020. This records an increase from the previous number of 1,279,692.000 GB for 26 Sep 2020. Colombia Internet Traffic: Edatel S.A data is updated daily, averaging 1,265,598.000 GB from Mar 2020 (Median) to 27 Sep 2020, with 182 observations. The data reached an all-time high of 1,417,932.000 GB in 16 Aug 2020 and a record low of 859,140.000 GB in 22 Apr 2020. Colombia Internet Traffic: Edatel S.A data remains active status in CEIC and is reported by Communications Regulation Commission. The data is categorized under Global Database’s Colombia – Table CO.TB004: Internet Traffic: by Provider.

Colombia Internet Traffic: International: ETB SA ESP data was reported at 72,264.000 GB in 27 Sep 2020. This records an increase from the previous number of 68,084.000 GB for 26 Sep 2020. Colombia Internet Traffic: International: ETB SA ESP data is updated daily, averaging 67,677.500 GB from Mar 2020 (Median) to 27 Sep 2020, with 182 observations. The data reached an all-time high of 85,061.000 GB in 24 Sep 2020 and a record low of 56,590.000 GB in 21 Jun 2020. Colombia Internet Traffic: International: ETB SA ESP data remains active status in CEIC and is reported by Communications Regulation Commission. The data is categorized under Global Database’s Colombia – Table CO.TB004: Internet Traffic: by Provider.

The global number of internet users in was forecast to continuously increase between 2024 and 2029 by in total 1.3 billion users (+23.66 percent). After the fifteenth consecutive increasing year, the number of users is estimated to reach 7 billion users and therefore a new peak in 2029. Notably, the number of internet users of was continuously increasing over the past years.Depicted is the estimated number of individuals in the country or region at hand, that use the internet. As the datasource clarifies, connection quality and usage frequency are distinct aspects, not taken into account here.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 up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the number of internet users in countries like the Americas and Asia.

Colombia Internet Traffic: Emcali data was reported at 1,143,406.000 GB in 27 Sep 2020. This records an increase from the previous number of 1,098,760.000 GB for 26 Sep 2020. Colombia Internet Traffic: Emcali data is updated daily, averaging 1,168,048.500 GB from Mar 2020 (Median) to 27 Sep 2020, with 182 observations. The data reached an all-time high of 1,317,352.000 GB in 10 Apr 2020 and a record low of 936,062.000 GB in 30 Apr 2020. Colombia Internet Traffic: Emcali data remains active status in CEIC and is reported by Communications Regulation Commission. The data is categorized under Global Database’s Colombia – Table CO.TB004: Internet Traffic: by Provider.

When asked about "Attitudes towards the internet", most Mexican respondents pick "It is important to me to have mobile internet access in any place" as an answer. 56 percent did so in our online survey in 2025. Looking to gain valuable insights about users of internet providers worldwide? Check out our reports on consumers who use internet providers. These reports give readers a thorough picture of these customers, including their identities, preferences, opinions, and methods of communication.

Mobile browsers account for over 62% of global internet traffic, and mobile-first habits now shape how consumers engage with web content. In industries like e-commerce and digital publishing, this shift is transforming how brands optimize UX and prioritize performance. Automotive brands, for instance, build mobile‑friendly configurators, while media outlets tailor...

Colombia Internet Traffic: Avantel S.A.S En Reorganizacion data was reported at 195,955.160 GB in 27 Sep 2020. This records a decrease from the previous number of 196,617.560 GB for 26 Sep 2020. Colombia Internet Traffic: Avantel S.A.S En Reorganizacion data is updated daily, averaging 200,074.430 GB from Mar 2020 (Median) to 27 Sep 2020, with 182 observations. The data reached an all-time high of 222,230.830 GB in 07 Aug 2020 and a record low of 159,070.660 GB in 22 May 2020. Colombia Internet Traffic: Avantel S.A.S En Reorganizacion data remains active status in CEIC and is reported by Communications Regulation Commission. The data is categorized under Global Database’s Colombia – Table CO.TB004: Internet Traffic: by Provider.

Network Traffic Analysis Market is Segmented by Deployment (On-Premise, Cloud-Based, and Hybrid), Component (Solutions and Services), Organization Size (Large Enterprises and Small and Medium Enterprises), End-User Industry (BFSI, IT and Telecom, and More), and Geography. The Market Sizes and Forecasts are Provided in Value (in USD Million) for all the Above Segments.

Campus DNS network traffic consisting of more than 4000 active users (in peak load hours) for 10 random days in the month of April-May, 2016 is available in hourly PCAP files in the dataset. (At present only traffic for Day0(Full) and Day1(partial) could be uploaded due to 10GB data limit)

When asked about "Attitudes towards the internet", most Japanese respondents pick "I'm concerned that my data is being misused on the internet" as an answer. 35 percent did so in our online survey in 2025. Looking to gain valuable insights about users of internet providers worldwide? Check out our reports on consumers who use internet providers. These reports give readers a thorough picture of these customers, including their identities, preferences, opinions, and methods of communication.