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.

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?

Please refer to the original data article for further data description: Jan Luxemburk et al. CESNET-QUIC22: A large one-month QUIC network traffic dataset from backbone lines, Data in Brief, 2023, 108888, ISSN 2352-3409, https://doi.org/10.1016/j.dib.2023.108888. We recommend using the CESNET DataZoo python library, which facilitates the work with large network traffic datasets. More information about the DataZoo project can be found in the GitHub repository https://github.com/CESNET/cesnet-datazoo. The QUIC (Quick UDP Internet Connection) protocol has the potential to replace TLS over TCP, which is the standard choice for reliable and secure Internet communication. Due to its design that makes the inspection of QUIC handshakes challenging and its usage in HTTP/3, there is an increasing demand for research in QUIC traffic analysis. This dataset contains one month of QUIC traffic collected in an ISP backbone network, which connects 500 large institutions and serves around half a million people. The data are delivered as enriched flows that can be useful for various network monitoring tasks. The provided server names and packet-level information allow research in the encrypted traffic classification area. Moreover, included QUIC versions and user agents (smartphone, web browser, and operating system identifiers) provide information for large-scale QUIC deployment studies. Data capture The data was captured in the flow monitoring infrastructure of the CESNET2 network. The capturing was done for four weeks between 31.10.2022 and 27.11.2022. The following list provides per-week flow count, capture period, and uncompressed size:

W-2022-44

Uncompressed Size: 19 GB Capture Period: 31.10.2022 - 6.11.2022 Number of flows: 32.6M W-2022-45

Uncompressed Size: 25 GB Capture Period: 7.11.2022 - 13.11.2022 Number of flows: 42.6M W-2022-46

Uncompressed Size: 20 GB Capture Period: 14.11.2022 - 20.11.2022 Number of flows: 33.7M W-2022-47

Uncompressed Size: 25 GB Capture Period: 21.11.2022 - 27.11.2022 Number of flows: 44.1M CESNET-QUIC22

Uncompressed Size: 89 GB Capture Period: 31.10.2022 - 27.11.2022 Number of flows: 153M

Data description The dataset consists of network flows describing encrypted QUIC communications. Flows were created using ipfixprobe flow exporter and are extended with packet metadata sequences, packet histograms, and with fields extracted from the QUIC Initial Packet, which is the first packet of the QUIC connection handshake. The extracted handshake fields are the Server Name Indication (SNI) domain, the used version of the QUIC protocol, and the user agent string that is available in a subset of QUIC communications. Packet Sequences Flows in the dataset are extended with sequences of packet sizes, directions, and inter-packet times. For the packet sizes, we consider payload size after transport headers (UDP headers for the QUIC case). Packet directions are encoded as ±1, +1 meaning a packet sent from client to server, and -1 a packet from server to client. Inter-packet times depend on the location of communicating hosts, their distance, and on the network conditions on the path. However, it is still possible to extract relevant information that correlates with user interactions and, for example, with the time required for an API/server/database to process the received data and generate the response to be sent in the next packet. Packet metadata sequences have a length of 30, which is the default setting of the used flow exporter. We also derive three fields from each packet sequence: its length, time duration, and the number of roundtrips. The roundtrips are counted as the number of changes in the communication direction (from packet directions data); in other words, each client request and server response pair counts as one roundtrip. Flow statistics Flows also include standard flow statistics, which represent aggregated information about the entire bidirectional flow. The fields are: the number of transmitted bytes and packets in both directions, the duration of flow, and packet histograms. Packet histograms include binned counts of packet sizes and inter-packet times of the entire flow in both directions (more information in the PHISTS plugin documentation There are eight bins with a logarithmic scale; the intervals are 0-15, 16-31, 32-63, 64-127, 128-255, 256-511, 512-1024, >1024 [ms or B]. The units are milliseconds for inter-packet times and bytes for packet sizes. Moreover, each flow has its end reason - either it was idle, reached the active timeout, or ended due to other reasons. This corresponds with the official IANA IPFIX-specified values. The FLOW_ENDREASON_OTHER field represents the forced end and lack of resources reasons. The end of flow detected reason is not considered because it is not relevant for UDP connections. Dataset structure The dataset flows are delivered in compressed CSV files. CSV files contain one flow per row; data columns are summarized in the provided list below. For each flow data file, there is a JSON file with the number of saved and seen (before sampling) flows per service and total counts of all received (observed on the CESNET2 network), service (belonging to one of the dataset's services), and saved (provided in the dataset) flows. There is also the stats-week.json file aggregating flow counts of a whole week and the stats-dataset.json file aggregating flow counts for the entire dataset. Flow counts before sampling can be used to compute sampling ratios of individual services and to resample the dataset back to the original service distribution. Moreover, various dataset statistics, such as feature distributions and value counts of QUIC versions and user agents, are provided in the dataset-statistics folder. The mapping between services and service providers is provided in the servicemap.csv file, which also includes SNI domains used for ground truth labeling. The following list describes flow data fields in CSV files:

ID: Unique identifier SRC_IP: Source IP address DST_IP: Destination IP address DST_ASN: Destination Autonomous System number SRC_PORT: Source port DST_PORT: Destination port PROTOCOL: Transport protocol QUIC_VERSION QUIC: protocol version QUIC_SNI: Server Name Indication domain QUIC_USER_AGENT: User agent string, if available in the QUIC Initial Packet TIME_FIRST: Timestamp of the first packet in format YYYY-MM-DDTHH-MM-SS.ffffff TIME_LAST: Timestamp of the last packet in format YYYY-MM-DDTHH-MM-SS.ffffff DURATION: Duration of the flow in seconds BYTES: Number of transmitted bytes from client to server BYTES_REV: Number of transmitted bytes from server to client PACKETS: Number of packets transmitted from client to server PACKETS_REV: Number of packets transmitted from server to client PPI: Packet metadata sequence in the format: [[inter-packet times], [packet directions], [packet sizes]] PPI_LEN: Number of packets in the PPI sequence PPI_DURATION: Duration of the PPI sequence in seconds PPI_ROUNDTRIPS: Number of roundtrips in the PPI sequence PHIST_SRC_SIZES: Histogram of packet sizes from client to server PHIST_DST_SIZES: Histogram of packet sizes from server to client PHIST_SRC_IPT: Histogram of inter-packet times from client to server PHIST_DST_IPT: Histogram of inter-packet times from server to client APP: Web service label CATEGORY: Service category FLOW_ENDREASON_IDLE: Flow was terminated because it was idle FLOW_ENDREASON_ACTIVE: Flow was terminated because it reached the active timeout FLOW_ENDREASON_OTHER: Flow was terminated for other reasons

Link to other CESNET datasets

https://www.liberouter.org/technology-v2/tools-services-datasets/datasets/ https://github.com/CESNET/cesnet-datazoo Please cite the original data article:

@article{CESNETQUIC22, author = {Jan Luxemburk and Karel Hynek and Tomáš Čejka and Andrej Lukačovič and Pavel Šiška}, title = {CESNET-QUIC22: a large one-month QUIC network traffic dataset from backbone lines}, journal = {Data in Brief}, pages = {108888}, year = {2023}, issn = {2352-3409}, doi = {https://doi.org/10.1016/j.dib.2023.108888}, url = {https://www.sciencedirect.com/science/article/pii/S2352340923000069} }

The Report Covers Web Analytics Companies and It is Segmented by Application (Online Marketing & Marketing Automation, Mobile Analytics, Content Marketing, Social Media Management, E-Mail Marketing, and Other Applications), Offering (Solution and Services), End-User Vertical (Retail, Manufacturing, Information Technology, BFSI, Healthcare, Transportation & Logistics, and Other End-User Verticals), and Geography (North America, Europe, Asia Pacific, Latin America, and Middle East and Africa). The Market Sizes and Forecasts are Provided in Terms of Value in USD Billion for all the Above Segments.

Click Web Traffic Combined with Transaction Data: A New Dimension of Shopper Insights

Consumer Edge is a leader in alternative consumer data for public and private investors and corporate clients. Click enhances the unparalleled accuracy of CE Transact by allowing investors to delve deeper and browse further into global online web traffic for CE Transact companies and more. Leverage the unique fusion of web traffic and transaction datasets to understand the addressable market and understand spending behavior on consumer and B2B websites. See the impact of changes in marketing spend, search engine algorithms, and social media awareness on visits to a merchant’s website, and discover the extent to which product mix and pricing drive or hinder visits and dwell time. Plus, Click uncovers a more global view of traffic trends in geographies not covered by Transact. Doubleclick into better forecasting, with Click.

Consumer Edge’s Click is available in machine-readable file delivery and enables: • Comprehensive Global Coverage: Insights across 620+ brands and 59 countries, including key markets in the US, Europe, Asia, and Latin America. • Integrated Data Ecosystem: Click seamlessly maps web traffic data to CE entities and stock tickers, enabling a unified view across various business intelligence tools. • Near Real-Time Insights: Daily data delivery with a 5-day lag ensures timely, actionable insights for agile decision-making. • Enhanced Forecasting Capabilities: Combining web traffic indicators with transaction data helps identify patterns and predict revenue performance.

Use Case: Analyze Year Over Year Growth Rate by Region

Problem A public investor wants to understand how a company’s year-over-year growth differs by region.

Solution The firm leveraged Consumer Edge Click data to: • Gain visibility into key metrics like views, bounce rate, visits, and addressable spend • Analyze year-over-year growth rates for a time period • Breakout data by geographic region to see growth trends

Metrics Include: • Spend • Items • Volume • Transactions • Price Per Volume

Inquire about a Click subscription to perform more complex, near real-time analyses on public tickers and private brands as well as for industries beyond CPG like: • Monitor web traffic as a leading indicator of stock performance and consumer demand • Analyze customer interest and sentiment at the brand and sub-brand levels

Consumer Edge offers a variety of datasets covering the US, Europe (UK, Austria, France, Germany, Italy, Spain), and across the globe, with subscription options serving a wide range of business needs.

Consumer Edge is the Leader in Data-Driven Insights Focused on the Global Consumer

This map contains a dynamic traffic map service with capabilities for visualizing traffic speeds relative to free-flow speeds as well as traffic incidents which can be visualized and identified. The traffic data is updated every five minutes. Traffic speeds are displayed as a percentage of free-flow speeds, which is frequently the speed limit or how fast cars tend to travel when unencumbered by other vehicles. The streets are color coded as follows:Green (fast): 85 - 100% of free flow speedsYellow (moderate): 65 - 85%Orange (slow); 45 - 65%Red (stop and go): 0 - 45%Esri's historical, live, and predictive traffic feeds come directly from TomTom (www.tomtom.com). Historical traffic is based on the average of observed speeds over the past year. The live and predictive traffic data is updated every five minutes through traffic feeds. The color coded traffic map layer can be used to represent relative traffic speeds; this is a common type of a map for online services and is used to provide context for routing, navigation and field operations. The traffic map layer contains two sublayers: Traffic and Live Traffic. The Traffic sublayer (shown by default) leverages historical, live and predictive traffic data; while the Live Traffic sublayer is calculated from just the live and predictive traffic data only. A color coded traffic map can be requested for the current time and any time in the future. A map for a future request might be used for planning purposes. The map also includes dynamic traffic incidents showing the location of accidents, construction, closures and other issues that could potentially impact the flow of traffic. Traffic incidents are commonly used to provide context for routing, navigation and field operations. Incidents are not features; they cannot be exported and stored for later use or additional analysis. The service works globally and can be used to visualize traffic speeds and incidents in many countries. Check the service coverage web map to determine availability in your area of interest. In the coverage map, the countries color coded in dark green support visualizing live traffic. The support for traffic incidents can be determined by identifying a country. For detailed information on this service, including a data coverage map, visit the directions and routing documentation and ArcGIS Help.

Snapshot img

Network Security Software Market Size 2024-2028

The network security software market size is forecast to increase by USD 27.3 billion at a CAGR of 14.66% between 2023 and 2028. Network security software is a critical component for safeguarding digital assets in the age of increasing Internet penetration and advanced cyber security. The market is witnessing significant growth due to the rising frequency and sophistication of cyberattacks, including unauthorized access, insider threats, and phishing attacks. To counter these threats, organizations are adopting advanced network security solutions that prioritize secure network connections. A key trend in the market is the introduction of zero-trust security architecture, which assumes that all network traffic is potentially harmful and requires verification before granting access. Balancing security and user experience is another crucial factor driving market growth.

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The market is a critical component in the modern business landscape, as organizations increasingly rely on digital infrastructure to drive growth and innovation. This market encompasses a range of solutions designed to safeguard network connections and data from various cyber threats. Firewalls represent a fundamental aspect of network security, acting as a barrier between an organization's internal network and the Internet. Firewalls monitor and control incoming and outgoing network traffic based on predetermined security rules, ensuring secure network connections. Antivirus and antimalware software are essential tools in the fight against malicious software.

IDS solutions analyze network traffic to detect intrusions, while IPS solutions go a step further by preventing attacks in real-time. Secure Web Gateways provide an additional layer of security by controlling access to the web and protecting against web-based threats. These solutions use various techniques, including URL filtering, malware scanning, and content analysis, to ensure secure browsing. Internet penetration testing is an essential practice for assessing the security of an organization's network and identifying vulnerabilities. Advanced software tools can simulate cyber attacks to help organizations fortify their defenses against real-world threats. Network security software is essential for large enterprises in various industries, including aerospace and defense, banking, and financial services.

Market Segmentation

The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

Component

  Solution
  Service


Deployment

  Cloud
  On-premises


Geography

  North America

    US


  APAC

    China
    Japan


  Europe

    UK
    France


  Middle East and Africa



  South America

By Component Insights

The solution segment is estimated to witness significant growth during the forecast period. The Network Security Market in the United States is witnessing significant growth due to the increasing number of cyber threats targeting businesses. This market encompasses various solutions such as firewalls, antivirus software, network access control, data loss prevention tools, and intrusion detection and prevention systems. Among these, firewalls are leading the market, providing advanced capabilities for monitoring and controlling data flow both internally and externally. Their importance is underscored by the growing emphasis on perimeter security. Antivirus and antimalware solutions are indispensable for safeguarding networks against a diverse range of malware. The sophistication of cyber threats necessitates continuous updates and improvements in these solutions.

Moreover, the shift towards remote working and e-learning, fueled by the COVID-19 pandemic, has led to an increased reliance on cloud-based solutions. This trend is further moved by the emergence of 5G technology, which promises faster and more reliable connectivity. Machine Learning (ML) and Artificial Intelligence (AI) are being integrated into network security solutions to enhance threat detection and response capabilities. In summary, the Network Security Market in the US is experiencing substantial growth due to the increasing cyber threats, the need for advanced perimeter security, the shift towards remote work and e-learning, and the integration of ML and AI into network security solutions.

Get a glance at the market share of various segments Request Free Sample

The solution segment accounted for USD 11.20 billion in 2018 and showed a gradual increase during the forecast period.

Regional Insights

North America is estimated to contribute 44% to the growth of the global market during the forecast period. Technavio's analysts have elaborately explained the regional trends

You can also access an API version of this dataset.

TMS

(traffic monitoring system) daily-updated traffic counts API

Important note: due to the size of this dataset, you won't be able to open it fully in Excel. Use notepad / R / any software package which can open more than a million rows.

Data reuse caveats: as per license.

Data quality

statement: please read the accompanying user manual, explaining:

how

 this data is collected identification 

 of count stations traffic 

 monitoring technology monitoring 

 hierarchy and conventions typical 

 survey specification data 

 calculation TMS 

 operation. 

Traffic

monitoring for state highways: user manual

[PDF 465 KB]

The data is at daily granularity. However, the actual update

frequency of the data depends on the contract the site falls within. For telemetry

sites it's once a week on a Wednesday. Some regional sites are fortnightly, and

some monthly or quarterly. Some are only 4 weeks a year, with timing depending

on contractors’ programme of work.

Data quality caveats: you must use this data in

conjunction with the user manual and the following caveats.

The

 road sensors used in data collection are subject to both technical errors and 

 environmental interference.Data 

 is compiled from a variety of sources. Accuracy may vary and the data 

 should only be used as a guide.As 

 not all road sections are monitored, a direct calculation of Vehicle 

 Kilometres Travelled (VKT) for a region is not possible.Data 

 is sourced from Waka Kotahi New Zealand Transport Agency TMS data.For 

 sites that use dual loops classification is by length. Vehicles with a length of less than 5.5m are 

 classed as light vehicles. Vehicles over 11m long are classed as heavy 

 vehicles. Vehicles between 5.5 and 11m are split 50:50 into light and 

 heavy.In September 2022, the National Telemetry contract was handed to a new contractor. During the handover process, due to some missing documents and aged technology, 40 of the 96 national telemetry traffic count sites went offline. Current contractor has continued to upload data from all active sites and have gradually worked to bring most offline sites back online. Please note and account for possible gaps in data from National Telemetry Sites. 

The NZTA Vehicle

Classification Relationships diagram below shows the length classification (typically dual loops) and axle classification (typically pneumatic tube counts),

and how these map to the Monetised benefits and costs manual, table A37,

page 254.

Monetised benefits and costs manual [PDF 9 MB]

For the full TMS

classification schema see Appendix A of the traffic counting manual vehicle

classification scheme (NZTA 2011), below.

Traffic monitoring for state highways: user manual [PDF 465 KB]

State highway traffic monitoring (map)

State highway traffic monitoring sites

Snapshot img

Secure Web Gateway Market Size 2024-2028

The secure web gateway market size is forecast to increase by USD 19.45 billion at a CAGR of 26.79% between 2023 and 2028. The market is experiencing significant growth due to the increasing number of online security threats targeting web products and websites. Traditional firewalls once considered a cyber barrier, are no longer sufficient to protect against unauthorized traffic, malicious websites, and data leakage.

To address these challenges, secure web gateways employ a 7-layered traffic inspection approach, providing application-level control and data leakage prevention. As more companies adopt cloud-based solutions and allow remote workers, the need for advanced web security solutions becomes increasingly important. The rising adoption of cloud-based security technologies is a major market growth factor, despite the high implementation costs.

What will be the size of the Secure Web Gateway Market During the Forecast Period?

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The cyber threat environment continues to evolve, with system viruses and unknown spyware posing significant risks to both individual and organizational data. Unsecured communication channels and malicious web traffic are common avenues for cyber-attacks, making it crucial for businesses to implement strong security solutions. A secure web gateway acts as a cyber barrier, safeguarding against online security threats and protecting against unauthorized traffic, malware attacks, and data breaches. Malicious web traffic, including viruses, malware, and harmful websites, can infiltrate an internal network through unsecured endpoints.

Moreover, trojan horses, adware, and spyware are common threats that can compromise individual data and organizational data. Remote employees working from home present an additional challenge, as they may access the company network through unsecured Wi-Fi or unprotected devices. A secure web gateway acts as a centralized filtering system, controlling web requests and blocking access to malicious websites. It provides an essential layer of security, preventing unauthorized access to sensitive data and protecting against known and unknown threats. By implementing a secure web gateway, companies can enforce company policy, ensuring that all web traffic is secure and compliant. Online security threats are a constant concern for businesses, with data breaches and malware attacks becoming increasingly common.

Furthermore, a secure web gateway helps mitigate these risks by providing a comprehensive solution for securing end-user data and web security. It blocks malicious web traffic, preventing the spread of viruses, malware, and other harmful software. By implementing a secure web gateway, businesses can protect their valuable data and maintain their online reputation. In conclusion, a secure web gateway is an essential component of any organization's cybersecurity strategy. It provides a critical layer of protection against online security threats, including malicious web traffic, viruses, malware, and harmful websites. By implementing a secure web gateway, businesses can safeguard their data, protect against unauthorized traffic, and maintain compliance with industry regulations.

Market Segmentation

The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

Deployment

  Cloud
  On-premises


End-user

  BFSI
  IT and telecom
  Government and defense
  Others


Geography

  North America

    US


  Europe

    Germany
    UK


  APAC

    China
    Japan


  Middle East and Africa



  South America

By Deployment Insights

The cloud segment is estimated to witness significant growth during the forecast period. The market is expected to experience substantial expansion in the coming years due to the escalating requirement for comprehensive data and identity security in corporations. With the rise in cybercrime and the increasing number of threats from hackers, the demand for sophisticated security solutions is surging. The adoption of cloud security services is gaining traction among large enterprises and small businesses as they transfer an increasing volume of sensitive and confidential data. The proliferation of mobile devices for both professional and personal use is further fueling the demand for cloud security solutions, as these devices are highly susceptible to attacks.

Furthermore, secure Web Gateways provide advanced functionalities such as antivirus, application control, data loss prevention, and HTTPS inspection to protect enterprises from harmful code and potential leaks. The financial sector, including banks, is a significant end user of Secure Web Gateways due to the sensitive nature of the data they handle. The

The market for the Intent Based Networking (IBN) is therefore likely to escalate further in years to come since the market may grow up to a value of USD 2.18 Billion by 2033, under a CAGR of 18.37 % during the duration from 2025 to 2033 due to several reason including increasing clouds services adoption need to improve a security network on a basis and complexity going in IT systems. Further growth is being fuelled by the surging demand for IoT devices and increasing network automation requirements.The IBN market can be broadly categorized into four categories: by component type, deployment model, application, vertical, and region. The most significant component types include networking hardware components, software, and services. On-premise and on-cloud are the two major deployment models. The application areas include healthcare, government, manufacturing, telecom, government, defense, and BFSI. Key verticals would include construction, building, telecommunications, and healthcare. IBN leads the market in North America followed closely by Europe, Asia Pacific, and then Middle East and Africa due to the presence of some of the major IBN vendors and the early adoption of advanced technologies in these regions. Recent developments include: March 2023: Hewlett Packard Enterprise extended its intent-based networking security abilities by offering solutions to meet the rising demand for integrated networking and security solutions provided as a service as it entered into a definitive agreement to obtain a cloud security provider, Axis Security., March 2022: Nokia introduced Adaptive Cloud Networking, a cloud-native solution. The Adaptive Cloud Networking solution boosts a service provider’s data-centric fabric. It extends its processes to the edge clouds to handle the erratic needs of the 5G future. The launch aims to allow service providers to strengthen their crucial position in the value chain of the 5G digital network.. Key drivers for this market are: Businesses are increasingly demanding networks that can keep up with the changing demands of their business. Intent based networking solutions can provide the agility, scalability, and security that businesses need. The adoption of cloud-based applications is increasing the demand for networks that can provide secure and reliable access to these applications. Intent based networking solutions can provide the connectivity and security that businesses need to access cloud-based applications.. Potential restraints include: Intent based networking solutions can be expensive to purchase and implement. This can be a barrier to adoption for some businesses. The implementation and management of intent based networking solutions can be complex. This can require businesses to invest in training for their IT staff. Intent based networking solutions often require businesses to purchase hardware and software from a single vendor. This can lead to vendor lock-in, which can make it difficult to switch vendors in the future.. Notable trends are: Cloud-based networking solutions offer a number of advantages over traditional on-premises solutions, such as greater agility, scalability, and cost-effectiveness. As a result, the adoption of cloud-based networking solutions is increasing rapidly AI and ML can be used to automate a variety of network management tasks, such as traffic analysis This can free up network administrators to focus on more strategic tasks. The increasing sophistication of cyber threats is driving the development of new security technologies to protect networks. These technologies include intrusion detection and prevention systems (IPS/IDS), firewalls, and virtual private networks (VPNs)..

IoT-23 is a dataset of network traffic from Internet of Things (IoT) devices. It has 20 malware captures executed in IoT devices, and 3 captures for benign IoT devices traffic. It was first published in January 2020, with captures ranging from 2018 to 2019. These IoT network traffic was captured in the Stratosphere Laboratory, AIC group, FEL, CTU University, Czech Republic. Its goal is to offer a large dataset of real and labeled IoT malware infections and IoT benign traffic for researchers to develop machine learning algorithms. This dataset and its research was funded by Avast Software. The malware was allow to connect to the Internet.

The indicator describes the proportion of built-up settlement and traffic areas in a territorial unit. It correlates positively with the degree of sealing and negatively with the proportion of free space. Further information at http://www.ioer-monitor.de/index.php?id=44&ID_IND=S12RG

The indicator describes the proportion of the built-up settlement and traffic area in a territorial unit. It correlates positively with the degree of sealing and negatively with the free space content. More information at http://www.ioer-monitor.de/index.php?id=44&ID_IND=S12RG

When asked about "Attitudes towards the internet", most Mexican respondents pick "It is important to me to have mobile internet access in any place at any time" as an answer. 55 percent did so in our online survey in 2024. Looking to gain valuable insights about users of internet providers worldwide? Check out our

The indicator describes the proportion of settlement and transport space in a territorial unit. It correlates positively with the degree of sealing and negatively with the proportion of free space. Further information at http://www.ioer-monitor.de/index.php?id=44&ID_IND=S11RG. Registration is required to use WCS and WFS services. Please sign up at https://monitor.ioer.de/monitor_api/signup.

The indicator describes the proportion of settlement and transport space in a territorial unit. It correlates positively with the degree of sealing and negatively with the proportion of free space. Further information at http://www.ioer-monitor.de/index.php?id=44&ID_IND=S11RG. Registration is required to use WCS and WFS services. Please sign up at https://monitor.ioer.de/monitor_api/signup.

Snapshot img

Domain Name System Tools Market Size 2024-2028

The domain name system tools market size is forecast to increase by USD 2.06 billion at a CAGR of 12.11% between 2023 and 2028.

The Domain Name System (DNS) tools market is experiencing significant growth due to several key trends. One of the primary drivers is the increasing need for enhanced business productivity through effective DNS deployment. As digital transformation continues to gain momentum, organizations are recognizing the importance of reliable and efficient DNS services. 
Another trend is the rising adoption of managed security services, which includes DNS security solutions, to mitigate cyber threats such as Distributed Denial of Service (DDOS) attacks. Furthermore, the growing popularity of mobile devices and software as a service in e-commerce is leading to an increased demand for robust DNS infrastructure.
However, the market also faces challenges, including the complexity of DNS management and the need for continuous security updates to counter evolving threats. Overall, the DNS tools market is poised for continued growth as businesses seek to optimize their online presence and ensure secure and reliable access to their digital assets.

What will be the Size of the Domain Name System Tools Market During the Forecast Period?

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The Domain Name System (DNS) tools market encompasses a range of solutions designed to manage and optimize online infrastructure for enterprises, service providers, and various industries, including media and entertainment, retail and ecommerce, IT and ITes, and telehealth. 
Key market trends include the adoption of managed DNS services for improved network performance optimization and traffic management, as well as the integration of features such as TLS encryption, secondary DNS servers, GeoDNS, DDoS protection, and DNS filtering. The market is witnessing significant growth due to the increasing reliance on public, private, and hybrid cloud deployments, as well as the need for adaptive DNS strategies and load balancing.
Standalone DNS tools continue to be used, but the shift towards cloud-based solutions is gaining momentum. Network performance optimization and cyber threat mitigation are critical concerns driving market expansion. Overall, the DNS tools market is expected to experience robust growth, driven by the digital transformation initiatives of large enterprises and the evolving needs of service providers.

How is this Domain Name System Tools Industry segmented and which is the largest segment?

The domain name system tools industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

Product

  Managed DNS service
  Standalone DNS tool


End-user

  Large enterprises
  Small and medium-size enterprises


Deployment

  On-premises
  Cloud


Geography

  North America

    Canada
    US


  APAC

    China
    India


  Europe

    UK


  South America



  Middle East and Africa

By Product Insights

The managed dns service segment is estimated to witness significant growth during the forecast period.

Managed DNS services have gained popularity among enterprises and industries due to their convenience, ease of use, scalability, security, and cost-effectiveness compared to standalone DNS tools. These services enable organizations to outsource their DNS management activities to specialized companies and service providers, making it an attractive option for enterprises with less customized requirements. The adoption of managed DNS services is projected to increase, particularly in developing countries, as technology advances and small companies, SMEs, and start-ups emerge. These businesses often have limited DNS requirements and budgets, making managed services an appealing choice due to their ease of use, streamlined administration, and cost savings.

Furthermore, managed DNS services offer additional features such as TLS encryption, secondary DNS servers, GeoDNS, DDoS protection, DNS filtering, and traffic management. These features enhance network performance optimization, cyber threat protection, and online infrastructure security. Managed DNS services are available in various deployment models, including public, private, and hybrid clouds, catering to the diverse needs of industries such as banking, financial services, telecom and IT, media and entertainment, retail and ecommerce, healthcare, and IT and ITeS. Load balancing, adaptive DNS strategies, real-time traffic management, and automated threat detection are some of the advanced features offered by managed DNS services, making them an essential component of digital transformation initiatives and cybersecurity measures.

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The indicator describes the proportion of settlement and transport space in a territorial unit. It correlates positively with the degree of sealing and negatively with the proportion of free space. Further information at http://www.ioer-monitor.de/index.php?id=44&ID_IND=S11RG

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.

When asked about "Attitudes towards the internet", most Chinese respondents pick "It is important to me to have mobile internet access in any place at any time" as an answer. 49 percent did so in our online survey in 2024. Looking to gain valuable insights about users of internet providers worldwide? Check out our