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 November 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 kinds 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...

The data set provided (traffic.csv) contains web traffic data ("events") from a few different pages ("links") over 7 days including various categorical dimensions about the geographic origin of that traffic as well as a page's content: isrc.

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.

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.

Unlock the Potential of Your Web Traffic with Advanced Data Resolution

In the digital age, understanding and leveraging web traffic data is crucial for businesses aiming to thrive online. Our pioneering solution transforms anonymous website visits into valuable B2B and B2C contact data, offering unprecedented insights into your digital audience. By integrating our unique tag into your website, you unlock the capability to convert 25-50% of your anonymous traffic into actionable contact rows, directly deposited into an S3 bucket for your convenience. This process, known as "Web Traffic Data Resolution," is at the forefront of digital marketing and sales strategies, providing a competitive edge in understanding and engaging with your online visitors.

Comprehensive Web Traffic Data Resolution Our product stands out by offering a robust solution for "Web Traffic Data Resolution," a process that demystifies the identities behind your website traffic. By deploying a simple tag on your site, our technology goes to work, analyzing visitor behavior and leveraging proprietary data matching techniques to reveal the individuals and businesses behind the clicks. This innovative approach not only enhances your data collection but does so with respect for privacy and compliance standards, ensuring that your business gains insights ethically and responsibly.

Deep Dive into Web Traffic Data At the core of our solution is the sophisticated analysis of "Web Traffic Data." Our system meticulously collects and processes every interaction on your site, from page views to time spent on each section. This data, once anonymous and perhaps seen as abstract numbers, is transformed into a detailed ledger of potential leads and customer insights. By understanding who visits your site, their interests, and their contact information, your business is equipped to tailor marketing efforts, personalize customer experiences, and streamline sales processes like never before.

Benefits of Our Web Traffic Data Resolution Service Enhanced Lead Generation: By converting anonymous visitors into identifiable contact data, our service significantly expands your pool of potential leads. This direct enhancement of your lead generation efforts can dramatically increase conversion rates and ROI on marketing campaigns.

Targeted Marketing Campaigns: Armed with detailed B2B and B2C contact data, your marketing team can create highly targeted and personalized campaigns. This precision in marketing not only improves engagement rates but also ensures that your messaging resonates with the intended audience.

Improved Customer Insights: Gaining a deeper understanding of your web traffic enables your business to refine customer personas and tailor offerings to meet market demands. These insights are invaluable for product development, customer service improvement, and strategic planning.

Competitive Advantage: In a digital landscape where understanding your audience can make or break your business, our Web Traffic Data Resolution service provides a significant competitive edge. By accessing detailed contact data that others in your industry may overlook, you position your business as a leader in customer engagement and data-driven strategies.

Seamless Integration and Accessibility: Our solution is designed for ease of use, requiring only the placement of a tag on your website to start gathering data. The contact rows generated are easily accessible in an S3 bucket, ensuring that you can integrate this data with your existing CRM systems and marketing tools without hassle.

How It Works: A Closer Look at the Process Our Web Traffic Data Resolution process is streamlined and user-friendly, designed to integrate seamlessly with your existing website infrastructure:

Tag Deployment: Implement our unique tag on your website with simple instructions. This tag is lightweight and does not impact your site's loading speed or user experience.

Data Collection and Analysis: As visitors navigate your site, our system collects web traffic data in real-time, analyzing behavior patterns, engagement metrics, and more.

Resolution and Transformation: Using advanced data matching algorithms, we resolve the collected web traffic data into identifiable B2B and B2C contact information.

Data Delivery: The resolved contact data is then securely transferred to an S3 bucket, where it is organized and ready for your access. This process occurs daily, ensuring you have the most up-to-date information at your fingertips.

Integration and Action: With the resolved data now in your possession, your business can take immediate action. From refining marketing strategies to enhancing customer experiences, the possibilities are endless.

Security and Privacy: Our Commitment Understanding the sensitivity of web traffic data and contact information, our solution is built with security and privacy at its core. We adhere to strict data protection regulat...

Colombia Internet Traffic: Direct Peering: Edatel S.A data was reported at 90,144.000 GB in 27 Sep 2020. This records an increase from the previous number of 86,148.000 GB for 26 Sep 2020. Colombia Internet Traffic: Direct Peering: Edatel S.A data is updated daily, averaging 87,082.000 GB from Mar 2020 (Median) to 27 Sep 2020, with 182 observations. The data reached an all-time high of 101,565.000 GB in 20 Jul 2020 and a record low of 56,903.000 GB in 22 Apr 2020. Colombia Internet Traffic: Direct Peering: 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: Network Access Point: DIRECTV data was reported at 2,234.420 GB in 27 Sep 2020. This records an increase from the previous number of 2,007.590 GB for 26 Sep 2020. Internet Traffic: Network Access Point: DIRECTV data is updated daily, averaging 1,380.975 GB from Mar 2020 (Median) to 27 Sep 2020, with 182 observations. The data reached an all-time high of 2,368.170 GB in 25 Sep 2020 and a record low of 991.650 GB in 02 May 2020. Internet Traffic: Network Access Point: 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.

Twenty-two years after its “official” foundation by Larry Page and Sergey Brin, Google is no longer the small company it was when it started. It has now almost become synonymous with the Internet, and has not left the pole position of the most visited sites in the world and in France for a long time. In 2019, referral traffic brought 39.55 percent of Google's net traffic, in other words, visits from other sites, without searching for it on a search engine.

Our Web Data dataset includes such data points as company name, location, headcount, industry, and size, among others. It offers extensive fresh and historical data, including even companies that operate in stealth mode.

For lead generation

With millions of companies worldwide, Web Company Database helps you filter potential clients based on custom criteria and speed up the conversion process.

Use cases

1. Filter potential clients according to location, size, and other criteria
2. Enrich your existing database
3. Improve conversion rates
4. Use predictive models to identify potential leads
5. Group your leads in segments for more accurate targeting

For market and business analysis

Our Web Company Data provides information about millions of companies, allowing you to find your competitors and see their weaknesses and strengths.

Use cases

1. Pinpoint your competitors
2. Learn about your competitors' size, headcount, and revenue
3. Prepare a data-driven plan for the next quarter

For Investors

We recommend B2B Web Data for investors to discover and evaluate businesses with the highest potential.

Gain strategic business insights, enhance decision-making, and maintain algorithms that signal investment opportunities with Coresignal’s global B2B Web Dataset.

Use cases

1. Screen startups and industries showing early signs of growth
2. Identify companies hungry for the next investment
3. Check if a startup is about to reach the next maturity phase
4. Identify and predict a startup's potential at the founding moment
5. Choose companies that fit you in terms of size and headcount

For sales prospecting

B2B Web Database saves time your employees would otherwise use to search for potential clients manually.

Use cases

1. Make a short list of the top prospects
2. Define which companies are large or small enough to buy your product
3. Based on the revenue, determine which companies are ready to convert
4. Sort the companies by their distance from your warehouse to draw a line where selling won't result in satisfactory profit

General Description

This dataset was developed from real data on the usage of the corporate data network at the Universidade Federal do Rio Grande do Norte (UFRN). The main objective is to enable detailed observation of the university's network infrastructure and make this data available to the academic community. Data collection started on August 30, 2023, with the last query conducted on February 7, 2025, covering a total of approximately 19 months of continuous observations. During this period, about 1.5 months of data were lost due to failures in the data collection process or maintenance of the system responsible for capturing the data.

The data collections cover administrative, academic, and classroom sectors, spanning a total of 13 buildings within the university, providing a broad view of the network across different environments.

The dataset contains a total of 1,675,843 entries, each with 49 attributes.

Dataset Attributes, by Category

1. Connected Machines and ARP (8 attributes)

• Number of Access, Wi-Fi, Security, and VoIP Machines: Indicates the number of machines connected to each type of network, providing insight into the network size and device load.
• ARP Value for Access, Wi-Fi, Security, and VoIP: Refers to the number of entries in the Address Resolution Protocol (ARP) table associated with each type of network. ARP is used to map IP addresses to MAC addresses and can indicate potential connectivity issues.

2. Traffic Metrics (18 attributes)

• Packet and Byte: Indicates whether the information queried is accounted in packets or transmitted bytes, with positive (1) or negative (-1) values.
• Downlink and Uplink Bandwidth by Packets (Access, Wi-Fi, Security, VoIP): Refers to the number of packets received or sent by devices connected to each network type.
• Downlink and Uplink Bandwidth by Bytes (Access, Wi-Fi, Security, VoIP): Refers to the number of bytes received or sent by devices connected to each network type.

3. Collection Context (5 attributes)

• Sector: The sector from which the data was collected (academic, administrative, or classroom).
• Date: The date of the data collection.
• Time of Day: The time period of the collection (morning, afternoon, or evening).
• Day of the Week: The day of the week when the collection occurred.
• Hour: The hour of the collection.

4. Asset Identification (4 attributes)

• Asset IP: The IP address of the monitored device.
• Asset Model: The model of the network device.
• Asset Part Number: The part number of the device.
• Asset Firmware: The firmware version in use on the device.

5. Asset Performance (6 attributes)

• CPU Usage (% - 1 min and 5 min): The percentage of CPU usage on the device in the last minute and the last five minutes.
• Memory Used (%): The percentage of memory used by the device.
• Total and Used Memory (Kb): The total amount and the used amount of memory on the device, measured in Kb.
• Temperature (°C): The temperature of the device in degrees Celsius.

6. Port Packet Metrics (8 attributes)

• Packet In and Out Counter: The number of packets of data that have entered and exited all the device's ports.
• Broadcast Packet In and Out Counter: The number of broadcast packets that have entered and exited all the device's ports.
• Multicast Packet In and Out Counter: The number of multicast packets that have entered and exited all the device's ports.
• Packet Error In and Out Counter: The number of error packets that have entered and exited all the device's ports.

Size and Format

The dataset contains approximately 1,675,843 entries, with 49 attributes per entry. It is available in CSV format.

Data Cleaning:

Cleaning the data is required prior to studying the dataset. This stage entails locating and correcting flaws in the Wireshark dataset, such as missing or null values and inconsistent data.

`network_traffic_data = pd.read_csv('/MidTerm_19_group.csv', delimiter=',', encoding='utf-8') network_traffic_data.head()

Removing rows with any null values

network_traffic_data = network_traffic_data.dropna()`

Exploratory0Data Analysis (EDA):

The first step in gaining a thorough understanding of the dataset's properties is to analyze it. Investigating the dataset's dimensions, composition, and variable types is necessary for this. Then, we use data visualization tools, including making charts and plots, to identify patterns and trends in the dataset. We can also easily identify any potential outliers with the use of visualization.

`# Shape of the DataFrame network_traffic_data.shape

columns of the DataFrame

network_traffic_data.columns

Output: (4013629, 7) Index(['No.', 'Time', 'Source', 'Destination', 'Protocol', 'Length', 'Info'], dtype='object') `

The Network Traffic Analysis (NTA) market is experiencing robust growth, projected to reach $3.56 billion in 2025 and maintain a Compound Annual Growth Rate (CAGR) of 12.78% from 2025 to 2033. This expansion is fueled by several key drivers. The increasing complexity of network infrastructure, coupled with the proliferation of cloud-based applications and the rise of cyber threats, necessitates sophisticated NTA solutions for enhanced security and performance monitoring. Organizations across various sectors, including BFSI (Banking, Financial Services, and Insurance), IT and Telecom, Government, Energy and Power, and Retail, are adopting NTA to gain better visibility into their network traffic, identify anomalies, and proactively address potential issues. The shift towards cloud-based deployment models is further accelerating market growth, offering scalability, flexibility, and reduced infrastructure costs. Competitive innovation within the NTA space, characterized by the development of AI-powered analytics and automation capabilities, is also contributing to this positive trajectory. However, certain restraints are impacting market growth. The high initial investment cost associated with implementing NTA solutions, particularly for smaller organizations, can be a barrier to entry. Furthermore, the need for skilled professionals to effectively manage and interpret NTA data poses a challenge. Despite these challenges, the long-term growth prospects for the NTA market remain strong. The increasing reliance on network connectivity across all aspects of business and the evolving threat landscape will continue to drive demand for advanced NTA solutions throughout the forecast period. The market is segmented by deployment (on-premise and cloud-based) and end-user vertical, with the cloud-based segment expected to show higher growth due to its inherent advantages. This comprehensive report provides an in-depth analysis of the global Network Traffic Analysis (NTA) market, covering the period from 2019 to 2033. It offers valuable insights into market size, growth drivers, emerging trends, challenges, and key players, utilizing data from the base year 2025 and forecasting until 2033. The report is essential for businesses, investors, and researchers seeking a thorough understanding of this dynamic market segment. Key search terms addressed include: Network Traffic Analysis, NTA Market, Network Security, Cybersecurity, Cloud-based NTA, On-premise NTA, Network Monitoring, Data Analytics, and more. Recent developments include: September 2022: AlphaSOC Inc., a security analytics company, introduced its AlphaSOC Analytics Engine (AE) solution, a cloud-native NTA product that identifies the compromised workloads across Google Cloud Platform, Microsoft Azure, and Amazon Web Services., April 2022: Palo Alto Networks launched a product called Okyo Garde Enterprise Edition, which has been designed to provide lateral migration by isolating the company network from the employee's network at home. It would also protect unmanaged work equipment at home, such as hardware prototypes, printers, and VoIP phones.. Key drivers for this market are: Emergence of Network Traffic Analysis as the Key to Cyber Security, Increasing Demand for Higher Access Speed. Potential restraints include: Growing Threat of Video Content Piracy and Security Threat of User Database Due to Spyware. Notable trends are: BFSI Sector is Expected to Hold a Significant Market Share.

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.

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.

Our Data Center Traffic web traffic dataset adds a critical layer of protection to your marketing stack by identifying and filtering web traffic generated from the IP addresses of suspicious data center sources. These signals often come from bots, scrapers, or emulators that disguise themselves as real users but deliver no value to your campaigns. Left unchecked, they can distort performance metrics, inflate engagement numbers, and drain your ad budget.

Leverage our web traffic data solutions for the following use cases: - Invalid Web Traffic Prevention - Data Hygiene & Model Building - Audience Quality Assurance - Trial & Partnership Transparency

With AdPreference, expect the following key benefits through our partnership: - Protect Your Ad Spend - Enhance Cybersecurity - Improve Campaign Performance - Strengthen Brand Integrity - Reduce Ad Fraud

By continuously monitoring and updating our web traffic intelligence, we empower marketers, agencies, and platforms to distinguish legitimate human activity from fraudulent traffic at scale. The result is cleaner datasets, more accurate audience models, and campaigns that perform against true user engagement. With our web traffic dataset, you can protect ad spend, maintain data integrity, and reinforce trust across your digital ecosystem.

For more information, please visit https://www.adpreference.co/

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)