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.

Explore our detailed website traffic dataset featuring key metrics like page views, session duration, bounce rate, traffic source, and conversion rates.

Code:

Packet_Features_Generator.py & Features.py

To run this code:

pkt_features.py [-h] -i TXTFILE [-x X] [-y Y] [-z Z] [-ml] [-s S] -j

-h, --help show this help message and exit -i TXTFILE input text file -x X Add first X number of total packets as features. -y Y Add first Y number of negative packets as features. -z Z Add first Z number of positive packets as features. -ml Output to text file all websites in the format of websiteNumber1,feature1,feature2,... -s S Generate samples using size s. -j

Purpose:

Turns a text file containing lists of incomeing and outgoing network packet sizes into separate website objects with associative features.

Uses Features.py to calcualte the features.

startMachineLearning.sh & machineLearning.py

To run this code:

bash startMachineLearning.sh

This code then runs machineLearning.py in a tmux session with the nessisary file paths and flags

Options (to be edited within this file):

--evaluate-only to test 5 fold cross validation accuracy

--test-scaling-normalization to test 6 different combinations of scalers and normalizers

Note: once the best combination is determined, it should be added to the data_preprocessing function in machineLearning.py for future use

--grid-search to test the best grid search hyperparameters - note: the possible hyperparameters must be added to train_model under 'if not evaluateOnly:' - once best hyperparameters are determined, add them to train_model under 'if evaluateOnly:'

Purpose:

Using the .ml file generated by Packet_Features_Generator.py & Features.py, this program trains a RandomForest Classifier on the provided data and provides results using cross validation. These results include the best scaling and normailzation options for each data set as well as the best grid search hyperparameters based on the provided ranges.

Data

Encrypted network traffic was collected on an isolated computer visiting different Wikipedia and New York Times articles, different Google search queres (collected in the form of their autocomplete results and their results page), and different actions taken on a Virtual Reality head set.

Data for this experiment was stored and analyzed in the form of a txt file for each experiment which contains:

First number is a classification number to denote what website, query, or vr action is taking place.

The remaining numbers in each line denote:

The size of a packet,

and the direction it is traveling.

negative numbers denote incoming packets

positive numbers denote outgoing packets

Figure 4 Data

This data uses specific lines from the Virtual Reality.txt file.

The action 'LongText Search' refers to a user searching for "Saint Basils Cathedral" with text in the Wander app.

The action 'ShortText Search' refers to a user searching for "Mexico" with text in the Wander app.

The .xlsx and .csv file are identical

Each file includes (from right to left):

The origional packet data,

each line of data organized from smallest to largest packet size in order to calculate the mean and standard deviation of each packet capture,

and the final Cumulative Distrubution Function (CDF) caluclation that generated the Figure 4 Graph.

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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.

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Global Network Traffic Analytics market size is expected to reach $6.22 billion by 2029 at 13.4%, segmented as by solution, network traffic analytics software, hardware appliances, cloud-based solutions

The network traffic analytics market size was valued at USD 3.44 billion in 2024 and is likely to cross USD 13.2 billion by 2037, registering more than 10.9% CAGR during the forecast period i.e., between 2025-2037. North America industry is expected to account for largest revenue share of 35% by 2037, due to presence of two significant economies, including the USA and Canada.

Web traffic statistics for the top 2000 most visited pages on nyc.gov by month.

Network Traffic Analytics Market Outlook

The global network traffic analytics market size is projected to witness remarkable growth, with an estimated value of USD 2.8 billion in 2023, and is anticipated to reach around USD 8.9 billion by 2032, reflecting a robust CAGR of approximately 13.5% during the forecast period. A significant growth factor contributing to this expansion is the escalating need for enhanced network security solutions across various industries. The increasing volume of data traffic, driven by advancements in digital technologies and IoT proliferation, necessitates sophisticated analytics tools to ensure optimal network performance and security. Additionally, the growing incidence of cyber threats and attacks has further accentuated the demand for network traffic analytics, propelling market growth globally.

One of the primary growth factors for the network traffic analytics market is the widespread adoption of cloud services and virtualization technologies. As enterprises continue to migrate their data and applications to cloud environments, the complexity of network traffic increases, necessitating advanced analytics solutions to manage and optimize this traffic effectively. Furthermore, the shift towards software-defined networking (SDN) and network function virtualization (NFV) is creating new opportunities for network traffic analytics. These technologies offer a level of network agility and scalability that was previously unattainable, driving the need for analytics platforms capable of managing more dynamic and fluid network infrastructures.

Another crucial growth driver is the surge in mobile and wireless network usage. The proliferation of mobile devices and the subsequent increase in mobile data traffic have placed immense pressure on network infrastructure. Network traffic analytics provides a means to manage this pressure by offering insights into traffic patterns, enabling network operators to optimize performance and ensure seamless service delivery. Additionally, the emergence of 5G networks is expected to significantly boost the demand for network traffic analytics as these networks will require sophisticated analytics tools to manage the increased speed and volume of data traffic.

The need for regulatory compliance in various industries also acts as a significant growth factor for the network traffic analytics market. Industries such as BFSI, healthcare, and government are under stringent regulatory pressures to maintain robust network security and data privacy. Network traffic analytics helps organizations in these sectors to monitor, detect, and respond to security threats more effectively, ensuring compliance with relevant regulations. This regulatory demand, coupled with the rising awareness of cybersecurity threats, is likely to drive the growth of network traffic analytics solutions in the years to come.

Regionally, North America is expected to dominate the network traffic analytics market due to the presence of a significant number of market players and high adoption rates of advanced technologies. The Asia Pacific region is anticipated to witness the fastest growth during the forecast period, attributed to the rapid digitization and increasing investments in network infrastructure across countries like China, India, and Japan. Europe, with its stringent data protection regulations and growing emphasis on cybersecurity, also presents a lucrative market landscape for network traffic analytics solutions. Meanwhile, the Middle East & Africa and Latin America are gradually adopting these solutions, driven by the increasing awareness of network security and digital transformation initiatives.

Component Analysis

The network traffic analytics market is segmented into solutions and services. The solutions segment is expected to hold a significant share of the market, driven by the increasing need for real-time network monitoring and analysis tools. These solutions help organizations in detecting anomalies, understanding traffic patterns, and optimizing network performance, thereby enhancing overall security and operational efficiency. The solutions segment encompasses a range of products, including traffic monitoring, network performance management, and network security solutions, which are integral to maintaining robust and efficient network infrastructure.

Network traffic analytics solutions are increasingly incorporating AI and machine learning algorithms to enhance their capabilities. These technologies enable solutions to provide predictive analytics, allowing organizations to proactively manage their network traffic an

Traffic analytics, rankings, and competitive metrics for web.dev as of May 2025

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Network traffic datasets created by Single Flow Time Series Analysis

Datasets were created for the paper: Network Traffic Classification based on Single Flow Time Series Analysis -- Josef Koumar, Karel Hynek, Tomáš Čejka -- which was published at The 19th International Conference on Network and Service Management (CNSM) 2023. Please cite usage of our datasets as:

J. Koumar, K. Hynek and T. Čejka, "Network Traffic Classification Based on Single Flow Time Series Analysis," 2023 19th International Conference on Network and Service Management (CNSM), Niagara Falls, ON, Canada, 2023, pp. 1-7, doi: 10.23919/CNSM59352.2023.10327876.

This Zenodo repository contains 23 datasets created from 15 well-known published datasets which are cited in the table below. Each dataset contains 69 features created by Time Series Analysis of Single Flow Time Series. The detailed description of features from datasets is in the file: feature_description.pdf

In the following table is a description of each dataset file:

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. This market, currently valued at approximately $5 billion in 2025, is projected to grow at a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033. This expansion is fueled by several key factors. The rising adoption of cloud-based solutions offers scalability and cost-effectiveness, attracting both SMEs and large enterprises. Furthermore, the increasing sophistication of analytics features within these platforms allows for deeper insights into website traffic, user engagement, and conversion rates. This empowers businesses to personalize user experiences, refine marketing campaigns, and ultimately drive revenue growth. The market segmentation reveals a significant share held by cloud-based solutions due to their accessibility and flexibility, while the large enterprise segment is a primary revenue driver due to its higher spending capacity. Competition is intense, with established players like Google Analytics and Adobe Analytics alongside a burgeoning number of specialized providers offering unique features and functionalities. The competitive landscape is dynamic, with established players facing challenges from nimble startups innovating in areas like AI-powered behavioral analytics and personalized recommendations. While data privacy concerns and the increasing complexity of tracking regulations represent potential restraints, the overall market outlook remains positive. The continued growth of e-commerce, digital marketing, and the broader digital economy will fuel further demand for sophisticated visitor tracking solutions. Geographic expansion, particularly in rapidly developing economies within Asia-Pacific and Latin America, will contribute significantly to market expansion over the forecast period. The integration of website visitor tracking with other marketing automation and CRM tools is another key trend, further solidifying its importance within a comprehensive digital strategy. The market's future hinges on the continuous innovation in data analytics capabilities, the development of user-friendly interfaces, and the ability to adapt to evolving privacy regulations.

Network Traffic Analysis (NTA) Software Market Outlook

The global Network Traffic Analysis (NTA) Software market size is poised to witness a robust growth trajectory, with a projected market valuation rising from approximately USD 3.5 billion in 2023 to an impressive USD 12.4 billion by 2032, growing at a compound annual growth rate (CAGR) of 15.2% during the forecast period. The surge in this market is predominantly fueled by the increasing need for sophisticated cybersecurity measures due to the escalating frequency and complexity of cyber threats. Organizations are progressively recognizing the critical importance of NTA software in detecting, monitoring, and responding to potential network anomalies and threats, driving the market's expansion.

A major growth factor contributing to the burgeoning NTA Software market is the exponential growth in data traffic, attributed to the widespread adoption of cloud computing, IoT devices, and the ongoing digital transformation across industries. As enterprises expand their digital footprint, the volume of data traversing networks has seen an unprecedented rise, necessitating advanced network traffic analysis solutions to ensure efficient management and security of data. Moreover, the increasing sophistication of cyber threats, including advanced persistent threats (APTs) and ransomware, has made continuous network monitoring and analysis indispensable for organizations striving to protect sensitive information and maintain business continuity.

Another significant driver for the NTA Software market is the growing regulatory pressures and compliance requirements across various sectors, including BFSI, healthcare, and government. These regulations mandate organizations to implement robust cybersecurity frameworks and ensure data protection, thereby propelling the demand for comprehensive NTA solutions. Companies are increasingly investing in NTA software to comply with standards such as GDPR, HIPAA, and PCI-DSS, which emphasize the importance of network security and data privacy. As regulatory landscapes continue to evolve, the necessity for effective network traffic analysis tools becomes even more pronounced, further accelerating market growth.

The increasing adoption of artificial intelligence (AI) and machine learning (ML) technologies in network traffic analysis is also a key factor driving the market's growth. These technologies enhance the capabilities of NTA software by enabling automated threat detection, predictive analytics, and anomaly detection, thereby improving the overall efficiency and accuracy of network monitoring. The integration of AI and ML has allowed NTA solutions to evolve from traditional reactive systems to proactive security platforms, capable of identifying and mitigating threats in real-time. This technological advancement is particularly attractive to large enterprises and government agencies that require robust security measures to safeguard critical infrastructure and data.

From a regional perspective, North America is anticipated to lead the NTA Software market during the forecast period, owing to the region's well-established IT infrastructure and the presence of major industry players. The Asia Pacific region, however, is expected to witness the fastest growth, driven by rapid technological advancements, increasing internet penetration, and a rising focus on cybersecurity across emerging economies such as India and China. Europe also presents significant growth opportunities, supported by stringent data protection regulations and growing investments in cybersecurity solutions. These regional dynamics highlight the diverse growth trajectories and opportunities present across the global NTA Software market.

Component Analysis

The Network Traffic Analysis Software market is segmented into two primary components: software and services. The software segment accounts for the largest share of the market and is expected to continue its dominance throughout the forecast period. This is primarily due to the increasing demand for advanced network traffic analysis solutions that can efficiently monitor, detect, and respond to potential security threats. With the escalating frequency of cyberattacks, organizations are increasingly leveraging sophisticated software to enhance their network security posture and mitigate risks. The software component includes various solutions such as real-time traffic monitoring, anomaly detection, and threat intelligence, which are integral to comprehensive network security strategies.

The services segment, on the other hand, is projected to witness signi

This traffic dataset contains a balance size of encrypted malicious and legitimate traffic for encrypted malicious traffic detection and analysis. The dataset is a secondary csv feature data that is composed of six public traffic datasets.

Our dataset is curated based on two criteria: The first criterion is to combine widely considered public datasets which contain enough encrypted malicious or encrypted legitimate traffic in existing works, such as Malware Capture Facility Project datasets. The second criterion is to ensure the final dataset balance of encrypted malicious and legitimate network traffic.

Based on the criteria, 6 public datasets are selected. After data pre-processing, details of each selected public dataset and the size of different encrypted traffic are shown in the “Dataset Statistic Analysis Document”. The document summarized the malicious and legitimate traffic size we selected from each selected public dataset, the traffic size of each malicious traffic type, and the total traffic size of the composed dataset. From the table, we are able to observe that encrypted malicious and legitimate traffic equally contributes to approximately 50% of the final composed dataset.

The datasets now made available were prepared to aim at encrypted malicious traffic detection. Since the dataset is used for machine learning or deep learning model training, a sample of train and test sets are also provided. The train and test datasets are separated based on 1:4. Such datasets can be used for machine learning or deep learning model training and testing based on selected features or after processing further data pre-processing.

Global Network Traffic Analytics Market was valued at USD 4.6 Billion in 2023 and is anticipated to project robust growth in the forecast period with a CAGR of 15.4% through 2029.

Dive into Market Research Intellect's Network Traffic Analytics Market Report, valued at USD 3.5 billion in 2024, and forecast to reach USD 9.2 billion by 2033, growing at a CAGR of 11.2% from 2026 to 2033.

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.

The Network Traffic Analytics market is experiencing robust growth, driven by the increasing adoption of cloud computing, the proliferation of IoT devices, and the rising need for enhanced cybersecurity. The market, estimated at $15 billion in 2025, is projected to witness a Compound Annual Growth Rate (CAGR) of 15% during the forecast period (2025-2033), reaching approximately $50 billion by 2033. Key growth drivers include the imperative for organizations to optimize network performance, gain valuable insights from network data for improved decision-making, and proactively address security threats. The BFSI, IT & Telecom, and Healthcare sectors are leading adopters, leveraging network traffic analytics to ensure service availability, detect fraudulent activities, and improve operational efficiency. Different deployment models, such as on-premise and cloud-based solutions, cater to diverse organizational needs and preferences. While the market faces certain restraints such as the complexity of implementing and managing analytics solutions and the high initial investment costs, the long-term benefits in terms of cost savings, improved security, and enhanced operational efficiency are driving wider adoption. The competitive landscape is highly dynamic, with established players like Cisco, Microsoft, and IBM alongside specialized vendors like Kentik and Flowmon. North America currently holds the largest market share due to high technology adoption and robust cybersecurity infrastructure. However, the Asia-Pacific region is expected to exhibit significant growth in the coming years, fueled by rapid digital transformation and increasing investment in network infrastructure. Market segmentation by application (BFSI, IT & Telecom, Healthcare, Education, Retail, Energy, Utilities) and deployment model (on-premise, cloud-based) provides a granular understanding of market dynamics, allowing for targeted strategies by vendors. Future growth will be influenced by the increasing adoption of advanced analytics techniques like machine learning and artificial intelligence for predictive insights and automated threat detection, further enhancing the value proposition of network traffic analytics solutions.