From October 2024 to February 2025, ChatGPT outperformed competing AI-powered search engines in traffic referral, achieving a total growth of 155.52 percent. Perplexity placed second, despite experiencing more significant fluctuations, with a total growth of 54.78 percent by the conclusion of the analyzed period. With a 43.64 percent overall growth, Google's Gemini ranked third among other engines and maintained the most consistent traffic referral rate. Artificial intelligence-driven trends, notably AI-powered search, are changing online traffic patterns. This suggests a more significant change in the way users find information online and is expected to have a knock-on effect on the digital advertising sector.

In 2025, Google was the most used search engine in Morocco, accounting for nearly ** percent of the web traffic. The next most used search engine was Bing, which made up over *** percent of web traffic in Morocco. The number of people using the internet in Morocco stood at **** million in 2025, the fifth highest amount of internet users in Africa.

Google is not only popular in its home country, but is also the dominant internet search provider in many major online markets, frequently generating between ** and ** percent of desktop search traffic. The search engine giant has a market share of over ** percent in India and accounted for the majority of the global search engine market, way ahead of other competitors such as Yahoo, Bing, Yandex, and Baidu. Google’s online dominance All roads lead to Rome, or if you are browsing the internet, all roads lead to Google. It is hard to imagine an online experience without the online behemoth, as the company offers a wide range of online products and services that all seamlessly integrate with each other. Google search and advertising are the core products of the company, accounting for the vast majority of the company revenues. When adding this up with the Chrome browser, Gmail, Google Maps, YouTube, Google’s ownership of the Android mobile operating system, and various other consumer and enterprise services, Google is basically a one-stop shop for online needs. Google anti-trust rulings However, Google’s dominance of the search market is not always welcome and is keenly watched by authorities and industry watchdogs – since 2017, the EU commission has fined Google over ***** billion euros in antitrust fines for abusing its monopoly in online advertising. In March 2019, European Commission found that Google violated antitrust regulations by imposing contractual restrictions on third-party websites in order to make them less competitive and fined the company *** billion euros.

Google dominated the Egyptian web traffic. As of November 2022, close to **** percent of the web traffic was referred via this search engine. Bing was its closest competitor, with only *** percent. Yahoo! came in third place, with a share of almost *** percent.

internet-research.jp is ranked #8508 in JP with 310.15K Traffic. Categories: Science. Learn more about website traffic, market share, and more!

In 2020, Google was the most popular online search engine in Puerto Rico, accounting for approximately **** percent of web traffic. It was followed by Microsoft's Bing, with a *** percent share that year. In addition, Google also concentrated most of the web traffic in the Dominican Republic.

General data recollected for the studio " Analysis of the Quantitative Impact of Social Networks on Web Traffic of Cybermedia in the 27 Countries of the European Union". Four research questions are posed: what percentage of the total web traffic generated by cybermedia in the European Union comes from social networks? Is said percentage higher or lower than that provided through direct traffic and through the use of search engines via SEO positioning? Which social networks have a greater impact? And is there any degree of relationship between the specific weight of social networks in the web traffic of a cybermedia and circumstances such as the average duration of the user's visit, the number of page views or the bounce rate understood in its formal aspect of not performing any kind of interaction on the visited page beyond reading its content? To answer these questions, we have first proceeded to a selection of the cybermedia with the highest web traffic of the 27 countries that are currently part of the European Union after the United Kingdom left on December 31, 2020. In each nation we have selected five media using a combination of the global web traffic metrics provided by the tools Alexa (https://www.alexa.com/), which ceased to be operational on May 1, 2022, and SimilarWeb (https:// www.similarweb.com/). We have not used local metrics by country since the results obtained with these first two tools were sufficiently significant and our objective is not to establish a ranking of cybermedia by nation but to examine the relevance of social networks in their web traffic. In all cases, cybermedia whose property corresponds to a journalistic company have been selected, ruling out those belonging to telecommunications portals or service providers; in some cases they correspond to classic information companies (both newspapers and televisions) while in others they refer to digital natives, without this circumstance affecting the nature of the research proposed.
Below we have proceeded to examine the web traffic data of said cybermedia. The period corresponding to the months of October, November and December 2021 and January, February and March 2022 has been selected. We believe that this six-month stretch allows possible one-time variations to be overcome for a month, reinforcing the precision of the data obtained. To secure this data, we have used the SimilarWeb tool, currently the most precise tool that exists when examining the web traffic of a portal, although it is limited to that coming from desktops and laptops, without taking into account those that come from mobile devices, currently impossible to determine with existing measurement tools on the market. It includes:

Web traffic general data: average visit duration, pages per visit and bounce rate Web traffic origin by country Percentage of traffic generated from social media over total web traffic Distribution of web traffic generated from social networks Comparison of web traffic generated from social netwoks with direct and search procedures

US satellite internet to grow 17.33% CAGR by 2030, driven by Amazon Kuiper and rural broadband demand across low-service zones.

Datasys Keyword Segments create audience profiles tied directly to the keywords consumers use during searches. With coverage of over 500M cookies, this dataset enables intent-based targeting across devices, helping advertisers align campaigns with real-time interests. It is ideal for performance marketing, SEO enhancement, and demand forecasting.

internet-research.jp is ranked #10596 in JP with 259.64K Traffic. Categories: Science. Learn more about website traffic, market share, and more!

This dataset contains meticulously cleaned and structured web traffic data collected across multiple websites, including Amazon platforms and services like Amazon Prime, AWS, and AWS Support. It spans various traffic sources, user devices, key actions, and engagement metrics, making it a powerful resource for digital marketing analysis, customer behavior modeling, and time series forecasting.

Ideal for:

Web traffic analysis Conversion rate optimization Bounce rate analysis User segmentation Predictive modeling and machine learning 📌 Dataset Features: Rows: 2006 Columns: 18

Date Range: Starts from January 1st, 2019 (Exact end date can be inferred from the dataset)

🔍 Columns Overview: Country: Country of user origin

Timestamp: Full timestamp of the visit Device Category: Type of device (Desktop, Mobile, Tablet) Key Actions: User actions like Purchase, Sign Up, Subscribe Page Path: Visited page (e.g., /home, /contact) Source: Traffic source (e.g., organic search, social media) Avg Session Duration: Duration of session in seconds Bounce Rate: % of single-page sessions Conversions: Number of conversions New Users: Number of new users in session Page Views: Total page views Returning Users: Count of returning users Unique Page Views: Unique page views Average time on home page (min): Self-explanatory Website: Name of the specific Amazon service or domain Date, Time, Day: Parsed date and time information

📊 Potential Use Cases: Machine Learning: Predicting bounce rate, conversion likelihood, or segmenting user behavior. Business Intelligence: Dashboards for performance analysis by device, source, or day. Time Series Forecasting: Analyze traffic patterns over time. A/B Testing: Benchmarking traffic changes across page paths or traffic sources.

Web Analytics Market size was valued at USD 6.16 Billion in 2024 and is projected to reach USD 24.07 Billion by 2032, growing at a CAGR of 18.58% during the forecast period 2026-2032.Global Web Analytics Market DriversThe digital landscape is in constant flux, and at its core, understanding user behavior is paramount for any business aiming to thrive. This imperative fuels the robust expansion of the Web Analytics Market, driven by a confluence of technological advancements, evolving business needs, and shifting consumer behaviors. Let's delve into the major forces propelling this vital industry forward.Digitalization and the Explosive Growth of Online Presence: The most fundamental driver is the relentless march of digitalization. Businesses across every sector are establishing, expanding, and optimizing their online presence, whether through sophisticated e-commerce platforms, informative corporate websites, or engaging mobile applications. As more operations, customer interactions, and commerce migrate to the digital realm, the sheer volume of online activity creates an insatiable demand for tools that can decipher user journeys, measure website performance, and identify areas for improvement. This foundational shift necessitates web analytics to transform raw digital interactions into actionable insights, making it indispensable for strategic decision-making in the modern business environment.The Imperative for Data-Driven Decision Making: In today's competitive landscape, gut feelings and anecdotal evidence are no longer sufficient. Businesses are increasingly recognizing the critical importance of basing their strategies on empirical data. Web analytics provides this crucial foundation, offering deep insights into customer behavior, site usage patterns, conversion funnels, and potential drop-off points. From optimizing marketing spend to refining product offerings and enhancing user experience, data-driven decision-making, powered by comprehensive web analytics, allows companies to minimize risks, maximize opportunities, and achieve measurable growth, thereby solidifying its position as a core business intelligence tool.Proliferation of Mobile Devices and Mobile Web Traffic: The smartphone revolution has profoundly reshaped how users interact with the internet. With billions of people globally accessing the web predominantly via mobile devices and tablets, understanding mobile-specific behaviors has become a paramount concern. Web analytics tools are evolving rapidly to effectively capture and analyze interactions across a myriad of devices, operating systems, and browser types. This includes tracking mobile app usage, responsive website performance, and ensuring a seamless cross-device user experience. The pervasive nature of mobile traffic means that robust mobile analytics capabilities are no longer a luxury but a necessity for any comprehensive web analytics solution.

Live Traffic Data Market Outlook

According to our latest research, the global live traffic data market size is valued at USD 10.8 billion in 2024, with a robust compound annual growth rate (CAGR) of 15.2% projected from 2025 to 2033. This dynamic market is expected to reach a substantial USD 32.1 billion by 2033, driven by the increasing adoption of smart city initiatives, rapid urbanization, and the integration of advanced data analytics into transportation systems. The growing need for real-time traffic monitoring and efficient transportation management is a key growth factor propelling the expansion of the live traffic data market globally.

The primary growth driver for the live traffic data market is the escalating demand for efficient traffic management systems amid rising urban congestion. Urban populations are growing at an unprecedented rate, leading to increased vehicle density and complex traffic patterns. To address these challenges, city planners and transportation authorities are investing heavily in intelligent transportation systems (ITS) that leverage real-time traffic data. These systems enable dynamic signal control, congestion management, and incident detection, thereby improving overall road safety and reducing travel time for commuters. Furthermore, the integration of live traffic data with navigation applications has become indispensable for both private and commercial drivers, enhancing route planning and reducing fuel consumption. The proliferation of connected vehicles and the Internet of Things (IoT) has further accelerated the deployment of sensors, cameras, and GPS-enabled devices, all of which contribute to the continuous stream of live traffic data utilized by municipal and state agencies.

Another significant factor fueling the marketÂ’s growth is the rapid advancement in data analytics and artificial intelligence (AI) technologies. The ability to process and analyze vast volumes of traffic data in real time has unlocked new possibilities for predictive analytics, enabling authorities to forecast congestion, optimize routes, and manage unexpected incidents proactively. Predictive traffic modeling not only improves operational efficiency but also enhances commuter experience by providing timely alerts and alternative route suggestions. Additionally, the integration of machine learning algorithms with live traffic data platforms allows for adaptive learning, where systems become more accurate and responsive over time. This technological evolution has spurred innovation among software vendors and service providers, resulting in a diverse ecosystem of solutions tailored to the specific needs of cities, transportation agencies, and commercial fleet operators.

The surge in public and private investments in smart infrastructure projects is also a crucial contributor to the marketÂ’s upward trajectory. Governments across the globe are allocating substantial budgets to upgrade existing road networks with advanced traffic monitoring and management solutions. Public-private partnerships are fostering the development of integrated mobility platforms that combine live traffic data with public transportation schedules, toll management systems, and law enforcement operations. These collaborative efforts are not only improving the efficiency of urban mobility but also supporting sustainability goals by reducing emissions and promoting greener transportation alternatives. The increasing adoption of cloud-based deployment models further enhances the scalability and accessibility of live traffic data solutions, enabling real-time data sharing and collaboration across multiple stakeholders.

Traffic Cameras play a pivotal role in the live traffic data ecosystem, serving as essential tools for capturing real-time information on road conditions, vehicle movements, and incidents. These cameras are strategically installed at key intersections, highways, and urban centers to provide continuous visual monitoring of traffic flow. The integration of traffic cameras with intelligent transportation systems enhances the accuracy and reliability of data collection, enabling authorities to respond swiftly to congestion, accidents, and other disruptions. By offering a visual confirmation of traffic conditions, these cameras support dynamic traffic management strategies, such as adaptive signal control and incident detection, ultimately contributing to improved

This dataset encompasses mobile web clickstream behavior on any browser, collected from over 150,000 triple-opt-in first-party US Daily Active Users (DAU). Use it for measurement, attribution or path to purchase and consumer journey understanding. Full URL deliverable available including searches.

Live Traffic Data Market Outlook

According to our latest research, the global live traffic data market size in 2024 is valued at USD 7.42 billion. The market is exhibiting robust momentum with a CAGR of 15.8% between 2025 and 2033. By the end of 2033, the market is forecasted to reach approximately USD 25.02 billion. This significant growth is being driven by the rapid digitalization of transportation infrastructures, the proliferation of connected vehicles, and the increasing need for real-time traffic management solutions worldwide.

The primary growth factor propelling the live traffic data market is the escalating adoption of smart city initiatives across major urban centers. Governments and municipal agencies are investing heavily in intelligent transportation systems (ITS) to manage escalating urban congestion, reduce carbon emissions, and improve overall commuter safety. This surge in smart city projects is creating a heightened demand for advanced live traffic data solutions that can aggregate, analyze, and disseminate real-time information to both authorities and the public. Furthermore, the integration of Internet of Things (IoT) sensors and edge computing technologies is enabling more granular and accurate data capture, thus enhancing the overall utility and reliability of live traffic data systems.

Another critical driver is the exponential increase in connected and autonomous vehicles. These vehicles rely heavily on real-time traffic data to optimize routing, avoid congestion, and ensure passenger safety. Automotive manufacturers are forming strategic partnerships with live traffic data providers to embed advanced navigation and predictive analytics into their vehicles. The growing consumer expectation for seamless, real-time navigation and the need for efficient fleet management in logistics are further catalyzing the adoption of live traffic data solutions. Additionally, the proliferation of mobile devices and navigation apps has made live traffic data more accessible to end-users, driving further market penetration.

Technological advancements in artificial intelligence (AI), machine learning, and big data analytics are also significantly contributing to the market’s growth. These technologies are enhancing the predictive capabilities of live traffic data platforms, enabling authorities and businesses to anticipate traffic patterns, forecast congestion hotspots, and implement proactive measures. Furthermore, the increasing availability of historical and real-time traffic datasets is enabling more sophisticated modeling and simulation, which is critical for urban planning and infrastructure development. As a result, live traffic data is becoming a cornerstone for future-ready transportation ecosystems.

Regionally, North America currently leads the global live traffic data market, driven by advanced infrastructure, high adoption rates of connected vehicles, and significant government investments in smart transportation initiatives. Europe follows closely, with robust regulatory support for digital mobility and sustainability. The Asia Pacific region, however, is anticipated to witness the highest CAGR during the forecast period, fueled by rapid urbanization, expanding middle-class populations, and large-scale investments in smart city projects across China, India, and Southeast Asia. Latin America and the Middle East & Africa are also showing promising growth, albeit from a smaller base, as governments in these regions ramp up digital transformation efforts in transportation.

Component Analysis

The live traffic data market by component is segmented into software, hardware, and services. The software segment dominates the market, accounting for the largest share in 2024. This dominance is attributed to the critical role that advanced traffic management platforms, navigation systems, and analytics engines play in aggregating, analyzing, and visualizing real-time traffic data. Software solutions are continuously evolving, integrating AI and machine learning algorithms to enhance predictive accuracy and provide actionable insights for both commuters and authorities. The increasing demand for cloud-based and mobile traffic applications further accelerates software adoption, as these solutions offer scalability, flexibility, and seamless integration with existing transportation infrastructure.

The hardware segment encompasses a wide range of devices, including IoT sensors, surveillance cameras, GPS modules,

In the second quarter of 2025, mobile devices (excluding tablets) accounted for 62.54 percent of global website traffic. Since consistently maintaining a share of around 50 percent beginning in 2017, mobile usage surpassed this threshold in 2020 and has demonstrated steady growth in its dominance of global web access. 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.

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.