Mobile accounts for approximately half of web traffic worldwide. In the last quarter of 2024, mobile devices (excluding tablets) generated 62.54 percent of global website traffic. Mobiles and smartphones consistently hoovered around the 50 percent mark since the beginning of 2017, before surpassing it in 2020. Mobile traffic Due to low infrastructure and financial restraints, many emerging digital markets skipped the desktop internet phase entirely and moved straight onto mobile internet via smartphone and tablet devices. India is a prime example of a market with a significant mobile-first online population. Other countries with a significant share of mobile internet traffic include Nigeria, Ghana and Kenya. In most African markets, mobile accounts for more than half of the web traffic. By contrast, mobile only makes up around 45.49 percent of online traffic in the United States. Mobile usage The most popular mobile internet activities worldwide include watching movies or videos online, e-mail usage and accessing social media. Apps are a very popular way to watch video on the go and the most-downloaded entertainment apps in the Apple App Store are Netflix, Tencent Video and Amazon Prime Video.

As of the last quarter of 2023, ***** percent of web traffic in the United States originated from mobile devices, down from ***** percent in the fourth quarter of 2022. In comparison, over half of web traffic worldwide was generated via mobile in the last examined period.

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Global network traffic analytics Industry Overview

Technavio’s analysts have identified the increasing use of network traffic analytics solutions to be one of major factors driving market growth. With the rapidly changing IT infrastructure, security hackers can steal valuable information through various modes. With the increasing dependence on web applications and websites for day-to-day activities and financial transactions, the instances of theft have increased globally. Also, the emergence of social networking websites has aided the malicious attackers to extract valuable information from vulnerable users. The increasing consumer dependence on web applications and websites for day-to-day activities and financial transactions are further increasing the risks of theft. This encourages the organizations to adopt network traffic analytics solutions.

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Companies covered

The network traffic analytics market is fairly concentrated due to the presence of few established companies offering innovative and differentiated software and services. By offering a complete analysis of the competitiveness of the players in the network monitoring tools market offering varied software and services, this network traffic analytics industry analysis report will aid clients identify new growth opportunities and design new growth strategies.

The report offers a complete analysis of a number of companies including:

• Allot
• Cisco Systems
• IBM
• Juniper Networks
• Microsoft
• Symantec

Network traffic analytics market growth based on geographic regions

• Americas
• APAC
• EMEA

With a complete study of the growth opportunities for the companies across regions such as the Americas, APAC, and EMEA, our industry research analysts have estimated that countries in the Americas will contribute significantly to the growth of the network monitoring tools market throughout the predicted period.

Network traffic analytics market growth based on end-user

• Telecom
• BFSI
• Healthcare
• Media and entertainment

According to our market research experts, the telecom end-user industry will be the major end-user of the network monitoring tools market throughout the forecast period. Factors suc

Context

The Google Merchandise Store sells Google branded merchandise. The data is typical of what you would see for an ecommerce website.

Content

The sample dataset contains Google Analytics 360 data from the Google Merchandise Store, a real ecommerce store. The Google Merchandise Store sells Google branded merchandise. The data is typical of what you would see for an ecommerce website. It includes the following kinds of information:

Traffic source data: information about where website visitors originate. This includes data about organic traffic, paid search traffic, display traffic, etc. Content data: information about the behavior of users on the site. This includes the URLs of pages that visitors look at, how they interact with content, etc. Transactional data: information about the transactions that occur on the Google Merchandise Store website.

Fork this kernel to get started.

Acknowledgements

Data from: https://bigquery.cloud.google.com/table/bigquery-public-data:google_analytics_sample.ga_sessions_20170801

Banner Photo by Edho Pratama from Unsplash.

Inspiration

What is the total number of transactions generated per device browser in July 2017?

The real bounce rate is defined as the percentage of visits with a single pageview. What was the real bounce rate per traffic source?

What was the average number of product pageviews for users who made a purchase in July 2017?

What was the average number of product pageviews for users who did not make a purchase in July 2017?

What was the average total transactions per user that made a purchase in July 2017?

What is the average amount of money spent per session in July 2017?

What is the sequence of pages viewed?

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.

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.

Unlock the Power of Behavioural Data with GDPR-Compliant Clickstream Insights.

Swash clickstream data offers a comprehensive and GDPR-compliant dataset sourced from users worldwide, encompassing both desktop and mobile browsing behaviour. Here's an in-depth look at what sets us apart and how our data can benefit your organisation.

User-Centric Approach: Unlike traditional data collection methods, we take a user-centric approach by rewarding users for the data they willingly provide. This unique methodology ensures transparent data collection practices, encourages user participation, and establishes trust between data providers and consumers.

Wide Coverage and Varied Categories: Our clickstream data covers diverse categories, including search, shopping, and URL visits. Whether you are interested in understanding user preferences in e-commerce, analysing search behaviour across different industries, or tracking website visits, our data provides a rich and multi-dimensional view of user activities.

GDPR Compliance and Privacy: We prioritise data privacy and strictly adhere to GDPR guidelines. Our data collection methods are fully compliant, ensuring the protection of user identities and personal information. You can confidently leverage our clickstream data without compromising privacy or facing regulatory challenges.

Market Intelligence and Consumer Behaviuor: Gain deep insights into market intelligence and consumer behaviour using our clickstream data. Understand trends, preferences, and user behaviour patterns by analysing the comprehensive user-level, time-stamped raw or processed data feed. Uncover valuable information about user journeys, search funnels, and paths to purchase to enhance your marketing strategies and drive business growth.

High-Frequency Updates and Consistency: We provide high-frequency updates and consistent user participation, offering both historical data and ongoing daily delivery. This ensures you have access to up-to-date insights and a continuous data feed for comprehensive analysis. Our reliable and consistent data empowers you to make accurate and timely decisions.

Custom Reporting and Analysis: We understand that every organisation has unique requirements. That's why we offer customisable reporting options, allowing you to tailor the analysis and reporting of clickstream data to your specific needs. Whether you need detailed metrics, visualisations, or in-depth analytics, we provide the flexibility to meet your reporting requirements.

Data Quality and Credibility: We take data quality seriously. Our data sourcing practices are designed to ensure responsible and reliable data collection. We implement rigorous data cleaning, validation, and verification processes, guaranteeing the accuracy and reliability of our clickstream data. You can confidently rely on our data to drive your decision-making processes.

In March 2024, close to 4.4 billion unique global visitors had visited Wikipedia.org, slightly down from 4.4 billion visitors since August of the same year. Wikipedia is a free online encyclopedia with articles generated by volunteers worldwide. The platform is hosted by the Wikimedia Foundation.

In today's digital landscape, the Website Traffic Analysis Tool market has emerged as an essential component for businesses aiming to enhance their online presence and optimize their digital strategies. These tools empower organizations to monitor their website performance, analyze visitor behavior, and derive actio

The website visitor tracking software market is experiencing robust growth, driven by the increasing need for businesses to understand online customer behavior and optimize their digital strategies. The market, currently estimated at $5 billion in 2025, is projected to expand significantly over the next decade, with a Compound Annual Growth Rate (CAGR) of approximately 15% from 2025 to 2033. This growth is fueled by several key factors, including the rising adoption of e-commerce, the proliferation of sophisticated website analytics tools offering deeper insights into user engagement, and a growing emphasis on data-driven decision-making across various industries. Businesses are increasingly relying on these tools not only for basic website traffic analysis but also for advanced features like heatmap analysis, session recording, form analytics, and A/B testing, which enable personalized user experiences and targeted marketing campaigns. The market's competitive landscape is diverse, with a mix of established players like Google Analytics and Adobe Analytics, alongside emerging specialized solutions focusing on specific aspects of visitor tracking, like lead generation or user behavior analysis. This fragmentation offers businesses a wide range of options tailored to their specific needs and budgets. The continued advancement of artificial intelligence (AI) and machine learning (ML) is expected to significantly impact the future of website visitor tracking software. AI-powered tools are increasingly capable of providing predictive analytics, identifying high-value visitors, automating tasks, and personalizing the user journey with greater accuracy. While data privacy concerns and the increasing complexity of these tools pose challenges, the overall market outlook remains positive. The focus is shifting towards tools that offer more comprehensive, insightful, and privacy-compliant solutions, leading to further innovation and consolidation within the market. Furthermore, the integration of website visitor tracking with other marketing automation platforms is becoming increasingly crucial, enabling a more holistic view of the customer journey and streamlining marketing efforts. This trend is expected to drive further market growth and shape the competitive landscape in the coming years.

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.

The dataset provides 12 months (August 2016 to August 2017) of obfuscated Google Analytics 360 data from the Google Merchandise Store , a real ecommerce store that sells Google-branded merchandise, in BigQuery. It’s a great way analyze business data and learn the benefits of using BigQuery to analyze Analytics 360 data Learn more about the data The data includes The data is typical of what an ecommerce website would see and includes the following information:Traffic source data: information about where website visitors originate, including data about organic traffic, paid search traffic, and display trafficContent data: information about the behavior of users on the site, such as URLs of pages that visitors look at, how they interact with content, etc. Transactional data: information about the transactions on the Google Merchandise Store website.Limitations: All users have view access to the dataset. This means you can query the dataset and generate reports but you cannot complete administrative tasks. Data for some fields is obfuscated such as fullVisitorId, or removed such as clientId, adWordsClickInfo and geoNetwork. “Not available in demo dataset” will be returned for STRING values and “null” will be returned for INTEGER values when querying the fields containing no data.This public dataset is hosted in Google BigQuery and is included in BigQuery's 1TB/mo of free tier processing. This means that each user receives 1TB of free BigQuery processing every month, which can be used to run queries on this public dataset. Watch this short video to learn how to get started quickly using BigQuery to access public datasets. What is BigQuery

The FDOT Annual Average Daily Traffic feature class provides spatial information on Annual Average Daily Traffic section breaks for the state of Florida. In addition, it provides affiliated traffic information like KFCTR, DFCTR and TFCTR among others. This dataset is maintained by the Transportation Data & Analytics office (TDA). The source spatial data for this hosted feature layer was created on: 07/12/2025.Download Data: Enter Guest as Username to download the source shapefile from here: https://ftp.fdot.gov/file/d/FTP/FDOT/co/planning/transtat/gis/shapefiles/aadt.zip

Traffic Analytics Market Outlook

According to our latest research, the global traffic analytics market size in 2024 stands at USD 14.2 billion, propelled by the increasing adoption of digital technologies and the growing need for actionable insights from network, web, and physical traffic data. The market is experiencing robust expansion, registering a CAGR of 21.8% from 2025 to 2033. By the end of 2033, the traffic analytics market is forecasted to reach USD 102.8 billion, underscoring the escalating demand for advanced analytics solutions across diverse industries. This remarkable growth is largely attributed to the proliferation of IoT devices, the surge in cloud computing, and the rising emphasis on data-driven decision-making for business optimization and security enhancement.

One of the primary growth drivers for the traffic analytics market is the exponential increase in data generated by connected devices and digital platforms. Enterprises and organizations across sectors are recognizing the immense value of leveraging traffic analytics to optimize operations, enhance customer experiences, and improve security. The growing adoption of cloud-based solutions has made analytics more accessible, scalable, and cost-effective, allowing even small and medium-sized enterprises to harness sophisticated analytical tools. Additionally, the integration of artificial intelligence and machine learning into traffic analytics platforms has significantly improved the accuracy and speed of data processing, enabling real-time insights and predictive analytics that drive competitive advantage.

Another significant factor fueling market growth is the escalating need for security and fraud detection in an increasingly digital world. As cyber threats and fraudulent activities become more sophisticated, organizations are investing heavily in traffic analytics to monitor network behavior, detect anomalies, and respond to potential breaches proactively. The ability to analyze vast volumes of traffic data in real time is critical for identifying suspicious activities and mitigating risks before they escalate into full-blown security incidents. This heightened focus on cybersecurity, combined with stringent regulatory requirements for data protection and privacy, is compelling organizations to adopt advanced traffic analytics solutions as a core component of their digital defense strategies.

The expansion of e-commerce, digital marketing, and omni-channel retailing is also contributing to the robust growth of the traffic analytics market. Businesses are increasingly relying on analytics to understand customer journeys, measure campaign effectiveness, and optimize digital touchpoints. Traffic analytics tools enable organizations to track user behavior across websites, mobile apps, and physical locations, providing granular insights that inform marketing strategies and drive revenue growth. With the competitive landscape intensifying, the ability to deliver personalized experiences and targeted offers through data-driven insights is becoming a key differentiator for brands across retail, BFSI, and other consumer-facing industries.

As traffic analytics continue to evolve, the concept of Traffic Near-Miss Analytics is gaining traction as a crucial tool for enhancing road safety and efficiency. This innovative approach focuses on identifying and analyzing near-miss incidents—situations where accidents are narrowly avoided—to provide actionable insights for traffic management and accident prevention. By leveraging advanced data collection and analysis techniques, Traffic Near-Miss Analytics enables authorities to pinpoint high-risk areas, understand the underlying causes of near-misses, and implement targeted interventions to mitigate potential hazards. This proactive approach not only enhances public safety but also contributes to smoother traffic flow and reduced congestion, making it an invaluable component of modern traffic management strategies.

From a regional perspective, North America currently dominates the global traffic analytics market, driven by the presence of major technology vendors, high digital adoption rates, and significant investments in cybersecurity infrastructure. However, the Asia Pacific region is emerging as the fastest-growing market, fueled by rapid urbanization, expanding internet penetration, and t

The census count of vehicles on city streets is normally reported in the form of Average Daily Traffic (ADT) counts. These counts provide a good estimate for the actual number of vehicles on an average weekday at select street segments. Specific block segments are selected for a count because they are deemed as representative of a larger segment on the same roadway. ADT counts are used by transportation engineers, economists, real estate agents, planners, and others professionals for planning and operational analysis. The frequency for each count varies depending on City staff’s needs for analysis in any given area. This report covers the counts taken in our City during the past 12 years approximately.

A collection of historic traffic count data and guidelines for how to collect new data for Massachusetts Department of Transportation (MassDOT) projects.

In November 2024, Google.com was the most popular website worldwide with 136 billion average monthly visits. The online platform has held the top spot as the most popular website since June 2010, when it pulled ahead of Yahoo into first place. Second-ranked YouTube generated more than 72.8 billion monthly visits in the measured period. The internet leaders: search, social, and e-commerce Social networks, search engines, and e-commerce websites shape the online experience as we know it. While Google leads the global online search market by far, YouTube and Facebook have become the world’s most popular websites for user generated content, solidifying Alphabet’s and Meta’s leadership over the online landscape. Meanwhile, websites such as Amazon and eBay generate millions in profits from the sale and distribution of goods, making the e-market sector an integral part of the global retail scene. What is next for online content? Powering social media and websites like Reddit and Wikipedia, user-generated content keeps moving the internet’s engines. However, the rise of generative artificial intelligence will bring significant changes to how online content is produced and handled. ChatGPT is already transforming how online search is performed, and news of Google's 2024 deal for licensing Reddit content to train large language models (LLMs) signal that the internet is likely to go through a new revolution. While AI's impact on the online market might bring both opportunities and challenges, effective content management will remain crucial for profitability on the web.

Reddit is a web traffic powerhouse: in March 2024 approximately 2.2 billion visits were measured to the online forum, making it one of the most-visited websites online. The front page of the internet Formerly known as “the front page of the internet”, Reddit is an online forum platform with over 130,000 sub-forums and communities. The platform allows registered users, called Redditors, to post content. Each post is open to the entire Reddit community to vote upon, either by down- or upvotes. The most popular posts are featured directly on the front page. Subreddits are available by category and Redditors can follow selected subreddits relevant to their interest and also control what content they see on their custom front page. Some of the most popular subreddits are r/AskReddit or r/AMA – the “Ask Me Anything” format. According to the company, Reddit hosted 1,800 AMAs in 2018, with a wide range of topics and hosts. One of the most popular Reddit AMA of 2022 by number of upvotes was by actor Nicolas Cagem with more than 238.5 thousand upvotes. Reddit usage The United States account for the biggest share of Reddit's desktop traffic, followed by the UK, and Canada. As of March 2023, Reddit ranked among the most popular social media websites in the United States.

Braintree Statistics: There are many other online payment platforms around the world. Braintree is also one of them. Around 9 years ago Braintree was taken over by PayPal therefore, it is now a PayPal payment platform. Braintree also offers the same kind of online payment services with some additional similar to many other platforms. In this Braintree Statistics, we will have a look at its meaning, features, some general statistics, and a comparison of the toughest competitor in the online payment platform Stripe vs Braintree. Key Braintree Statistics (Editor’s Choice) The platform supports more than 130 currencies. Braintree statistics show that it has around 17,681 unique domains. According to Braintree Statistics, Braintreegateway.com has around 99.72% of the organic traffic while only 0.28% is paid traffic. Braintree statistics show that Ukraine has 2.52% of the users with a surprisingly increasing usage rate of 354.1%. A user on average spends around 07:59 minutes on Braintree’s website. eCommerce and shopping websites have around 12.36% referral rate towards the Braintree website. The Braintree payment platform is available in more than 45 countries. According to the Braintree statistics, 78% of the people are likely to convert into a sale if they see any preferred payment option’s logo. In terms of leading countries, according to the Braintree Statistics, there are around 8,605 websites in the United States of America supporting the Braintree platform. Braintree has 45.16% female users and 54.84% male users.