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.

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.

In the first half of 2021, video accounted for over **** of global traffic. Social occupied the next largest share at **** percent, while web browsing accounted for around a *****. Audio accounted for only **** percent of traffic worldwide.

As of July 2025, mobile phones accounted for **** percent of web page views in Saudi Arabia. The United Arab Emirates ranked second, with mobile devices generating approximately ***** percent of web traffic. Poland, Portugal, and Malaysia saw less than ** percent of their national internet traffic coming from mobile devices. Additionally, Russia ranked last for mobile internet traffic as of the middle of 2025, as ***** percent of the total internet traffic in the country came from smartphones and internet connected mobile devices.

It’s not really surprising to know that most of the internet traffic comes from mobile devices. Yet, I wouldn’t have believed this 10 or 15 years back. Sure, mobile devices were becoming popular, but the adoption rates had a sudden jump in the past decade. A quick analysis of statistics...

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.

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.

According to a report published by DataReportal, as of December 2024, mobile phones had the highest share of web traffic at ***** percent in Thailand. By comparison, the share of web traffic on laptops and desktop computers was around ** percent.

As of September 2024, more than 49 percent of internet traffic in France came through mobile phones. Desktop computers and laptops' share of internet traffic was around 48 percent. Other devices, such as tablets, accounted for about two percent of overall web traffic in France.

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.

Hong Kong Internet Traffic Volume, Excludes Lease Line Access data was reported at 14,399.000 min th in Aug 2018. This records an increase from the previous number of 14,238.000 min th for Jul 2018. Hong Kong Internet Traffic Volume, Excludes Lease Line Access data is updated monthly, averaging 27,200.000 min th from Aug 1997 (Median) to Aug 2018, with 253 observations. The data reached an all-time high of 1,441,938.000 min th in Aug 2000 and a record low of 11,244.000 min th in Feb 2018. Hong Kong Internet Traffic Volume, Excludes Lease Line Access data remains active status in CEIC and is reported by Office of the Communications Authority. The data is categorized under Global Database’s Hong Kong SAR – Table HK.TB004: Internet Statistics: Office of the Telecommunication Authority.

Portuguese mobile broadband internet traffic was dominated by NOS, which surpassed Vodafone and, in 2022, presented a traffic share of 36.4 percent. By 2024, it had a share of 37 percent. Vodafone followed, with a share of 34.2 percent, while MEO presented a quota of 27.4 percent.

In November 2024, the majority of browser web traffic in the United States was generated via mobile phones. Additionally, traffic generated by laptop and desktop devices constituted a share of approximately **** percent, while tablet devices accounted for *** percent of the country's web traffic.

A study released in June 2025 that looked at about 82,000 websites found that Google was responsible for almost 40 percent of the traffic generated to these domains. Direct traffic corresponded to around 35.6 percent of the investigated websites' traffic volume. While traditional search engines like Bing and social networks like Facebook represented larger shares, ChatGPT overtook Reddit and LinkedIn with a slightly larger share, indicating an increase in traffic from these platforms.

Desktop computers accounted for the majority of the web traffic in Hungary until 2020. However, in 2021, mobile devices took the lead and by 2024, they accounted for nearly ** percent of the internet traffic.

Web traffic statistics for the several City-Parish websites, brla.gov, city.brla.gov, Red Stick Ready, GIS, Open Data etc. Information provided by Google Analytics.

The global network traffic analyzers market size reached USD 3.4 Billion in 2024. Looking forward, IMARC Group expects the market to reach USD 7.3 Billion by 2033, exhibiting a growth rate (CAGR) of 8.38% during 2025-2033.

IMARC Group provides an analysis of the key trends in each sub-segment of the global network traffic analyzers market report, along with forecasts at the global, regional and country level from 2025-2033. Our report has categorized the market based on component, deployment type, and end user.

In December 2024, Android recorded the highest share of mobile web traffic in Turkey, with 70.6 percent. Additionally, the web traffic originating from Apple iOS mobile devices corresponded to 28.99 percent of all web traffic.

Broadband: Internet Traffic: Fixed data was reported at 3.900 Exabyte in Sep 2019. This records an increase from the previous number of 2.510 Exabyte for Jun 2019. Broadband: Internet Traffic: Fixed data is updated quarterly, averaging 2.260 Exabyte from Mar 2017 (Median) to Sep 2019, with 6 observations. The data reached an all-time high of 3.900 Exabyte in Sep 2019 and a record low of 0.980 Exabyte in Mar 2017. Broadband: Internet Traffic: Fixed data remains active status in CEIC and is reported by Malaysian Communications and Multimedia Commission. The data is categorized under Global Database’s Malaysia – Table MY.TB005: Telecommunication Statistics: Broadband.

As of the second quarter of 2025, ***** percent of web traffic in the United States originated from mobile devices, down from over ** percent in the last quarter of 2024. In comparison, over ********** of web traffic worldwide was generated via mobile in the last examined period.