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

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.

Google Search Statistics 2023

• Google is the most searched website in the World.
• Google receives more visitors than any other site. Google is accessed 89.3 trillion times per month.
• Google is used by billions of people every day to conduct their searches. Google is much more than a simple search engine.
• Google provides many other services. Google Shopping and Google News also feature. Google Mail, Google's popular email service, is included.
• Google organic search traffic is 16.3% of the total US searches.

In May 2020, YouTube generated over 5.3 billion global visits via organic search traffic. Second-ranked Wikipedia accumulated less than half of that, claiming 2.2 billion organic search visits. Social network Facebook rounded off the top properties with more than a billion organic search visits during the measured period.

The website speed test market has witnessed significant growth, reaching a market size of XXX million in 2025. This growth is primarily attributed to the increasing demand for faster and more reliable internet speeds, driven by the widespread adoption of streaming video, online gaming, and cloud-based applications. The CAGR of the market is projected to remain strong over the forecast period from 2023 to 2033, reaching a value of XXX million by 2033. Key market trends include the growing adoption of 5G networks and the increasing popularity of fiber optic internet, both of which offer significantly faster speeds compared to traditional copper-based connections. In terms of segmentation, the market for website speed test can be divided into two main types: cable internet and fiber optic internet. Cable internet is currently the most widely used type of broadband internet connection, but fiber optic internet is rapidly gaining popularity due to its superior speed and reliability. Other types of broadband internet connections include fixed wireless internet, satellite internet, and DSL internet. The market can also be segmented based on its application, with individuals and businesses being the two primary user groups. Businesses typically require faster and more reliable internet speeds than individuals, and are therefore more likely to invest in higher-end solutions such as fiber optic internet. Major companies in the website speed test market include Fusion Connect, Bandwidth Place, Ookla, Netflix, and Measurement Lab, among others.

A dataset of web design keywords, including their definitions, synonyms, antonyms, search volume and costs.

Attributes of sites in Hamilton City which collect anonymised data from a sample of vehicles. Note: A Link is the section of the road between two sites

Column_InfoSite_Id, int : Unique identiferNumber, int : Asset number. Note: If the site is at a signalised intersection, Number will match 'Site_Number' in the table 'Traffic Signal Site Location'Is_Enabled, varchar : Site is currently enabledDisabled_Date, datetime : If currently disabled, the date at which the site was disabledSite_Name, varchar : Description of the site locationLatitude, numeric : North-south geographic coordinatesLongitude, numeric : East-west geographic coordinates

Relationship









Disclaimer

Hamilton City Council does not make any representation or give any warranty as to the accuracy or exhaustiveness of the data released for public download. Levels, locations and dimensions of works depicted in the data may not be accurate due to circumstances not notified to Council. A physical check should be made on all levels, locations and dimensions before starting design or works.

Hamilton City Council shall not be liable for any loss, damage, cost or expense (whether direct or indirect) arising from reliance upon or use of any data provided, or Council's failure to provide this data.

While you are free to crop, export and re-purpose the data, we ask that you attribute the Hamilton City Council and clearly state that your work is a derivative and not the authoritative data source. Please include the following statement when distributing any work derived from this data:

‘This work is derived entirely or in part from Hamilton City Council data; the provided information may be updated at any time, and may at times be out of date, inaccurate, and/or incomplete.'

Here are a few use cases for this project:

1. Web Accessibility Improvement: The "Web Page Object Detection" model can be used to identify and label various elements on a web page, making it easier for people with visual impairments to navigate and interact with websites using screen readers and other assistive technologies.

2. Web Design Analysis: The model can be employed to analyze the structure and layout of popular websites, helping web designers understand best practices and trends in web design. This information can inform the creation of new, user-friendly websites or redesigns of existing pages.

3. Automatic Web Page Summary Generation: By identifying and extracting key elements, such as titles, headings, content blocks, and lists, the model can assist in generating concise summaries of web pages, which can aid users in their search for relevant information.

4. Web Page Conversion and Optimization: The model can be used to detect redundant or unnecessary elements on a web page and suggest their removal or modification, leading to cleaner designs and faster-loading pages. This can improve user experience and, potentially, search engine rankings.

5. Assisting Web Developers in Debugging and Testing: By detecting web page elements, the model can help identify inconsistencies or errors in a site's code or design, such as missing or misaligned elements, allowing developers to quickly diagnose and address these issues.

Abstract (our paper)

The frequency of a web search keyword generally reflects the degree of public interest in a particular subject matter. Search logs are therefore useful resources for trend analysis. However, access to search logs is typically restricted to search engine providers. In this paper, we investigate whether search frequency can be estimated from a different resource such as Wikipedia page views of open data. We found frequently searched keywords to have remarkably high correlations with Wikipedia page views. This suggests that Wikipedia page views can be an effective tool for determining popular global web search trends.

Data

personal-name.txt.gz:
The first column is the Wikipedia article id, the second column is the search keyword, the third column is the Wikipedia article title, and the fourth column is the total of page views from 2008 to 2014.

personal-name_data_google-trends.txt.gz, personal-name_data_wikipedia.txt.gz:
The first column is the period to be collected, the second column is the source (Google or Wikipedia), the third column is the Wikipedia article id, the fourth column is the search keyword, the fifth column is the date, and the sixth column is the value of search trend or page view.

Publication

This data set was created for our study. If you make use of this data set, please cite:
Mitsuo Yoshida, Yuki Arase, Takaaki Tsunoda, Mikio Yamamoto. Wikipedia Page View Reflects Web Search Trend. Proceedings of the 2015 ACM Web Science Conference (WebSci '15). no.65, pp.1-2, 2015.
http://dx.doi.org/10.1145/2786451.2786495
http://arxiv.org/abs/1509.02218 (author-created version)

Note

The raw data of Wikipedia page views is available in the following page.
http://dumps.wikimedia.org/other/pagecounts-raw/

Baidu Search Index is a big data analytics tool developed by Baidu, the most popular search engine in China, to reflect changes in search popularity for specific keywords.

Based on an ecosystem partnership with Baidu Search Index, Datago has direct access to keyword search index data from Baidu Index’s database. BSIA-Investor selects A-share stock codes in different formats as keywords, aggregates the corresponding Baidu Index data, and provides insights into the online search interest of Chinese investors for over 5,000 A-share stocks. This data helps investors better understand the market sentiment of millions of Chinese investors toward A-shares, including:

• Investor Interest Measurement: A direct reflection of how Chinese investors’ interest in the A-share market fluctuates.

• Cross-Comparison of Listed Companies: Search index data offers strong comparability, enabling users to assess differences in market attention among various listed companies and identify high-interest stocks.

• Trend Tracking & Market Insights: By monitoring changes in the search popularity of individual stocks, investors can capture market hotspots, gain timely insights into potential investment opportunities, and leverage data for informed decision-making.

• Coverage: 5000+ A-share stocks

• History: 2016-01-01

• Frequency: Daily

In March 2024, Google.com was the leading website in the United States. The search platform accounted for over 19 percent of desktop web traffic in the United States, ahead of second-ranked YouTube.com with 10.71 percent.

We offer web activity data of users that are browsing popular websites around the world. This data can be used to analyze web behavior across the web and build highly accurate audience segments based on web activity for targeting ads based on interest categories and search/browsing intent.

Web Data Reach: Our reach data represents the total number of data counts available within various categories and comprises attributes such as Country, Anonymous ID, IP addresses, Search Query, and so on.

Data Export Methodology: Since we collect data dynamically, we provide the most updated data and insights via a best-suited method at a suitable interval (daily/weekly/monthly).

Data Attributes: Anonymous_id IDType Timestamp Estid Ip userAgent browserFamily deviceType Os Url_metadata_canonical_url Url_metadata_raw_query_params refDomain mappedEvent Channel searchQuery Ttd_id Adnxs_id Keywords Categories Entities Concepts

Use Cases: Personalized Targeting Targeting audiences with data enables deeper personalization and higher engagement rates Data Enrichment Leverage Online to Offline consumer profiles to build holistic audience segments to improve campaign targeting using user data enrichment. Market Intelligence Study various market areas, the proximity of points or interests and the competitive landscape. Fraud & Cybersecurity Use the power of multiple alternative data sources to identify fraudulent behavior across digital channels

Web clicks collected from the Yahoo Toolbar between July 1 2014 and March 31 2015.

This dataset was used in:

Quantifying Biases in Online Information Exposure; Dimitar Nikolov, Mounia Lalmas, Alessandro Flammini, Filippo Menczer

Context

Google Chrome is a popular web browser developed by Google.

Content

The Chrome User Experience Report is a public dataset of key user experience metrics for popular origins on the web, as experienced by Chrome users under real-world conditions.

Acknowledgements

https://bigquery.cloud.google.com/dataset/chrome-ux-report:all

For more info, see the documentation at https://developers.google.com/web/tools/chrome-user-experience-report/

License: CC BY 4.0

Photo by Edho Pratama on Unsplash

The global online grammar checker tool market is expected to reach a value of XX million by 2033, expanding at a CAGR of XX% from 2025 to 2033. The market growth is primarily driven by the increasing demand for accurate and efficient content creation, the rise of digital communication, and the growing emphasis on language proficiency in academic and professional settings. Key trends shaping the market include the adoption of cloud-based solutions, the integration of artificial intelligence (AI) and natural language processing (NLP) to enhance grammar checking capabilities, and the growing popularity of online writing platforms. The market is segmented based on type (cloud-based and on-premises) and application (enterprise and personal). Enterprise solutions are witnessing a surge in demand due to the need for organizations to maintain high standards of grammar and writing accuracy in their communications. Leading players in the market include ProWritingAid, Grammarly, Linguix, WhiteSmoke, Ginger Online, LanguageTool, Outwrite, Online Correction, PaperRater, Writer, Hemingway App, Scribens, Slick Write, NOUNPLUS, and Virtual Writing Tutor. North America and Europe are currently the dominant regional markets, but Asia Pacific is expected to experience significant growth in the coming years.

Context

Google Chrome is a popular web browser developed by Google.

Content

The Chrome User Experience Report is a public dataset of key user experience metrics for popular origins on the web, as experienced by Chrome users under real-world conditions.

Acknowledgements

https://bigquery.cloud.google.com/dataset/chrome-ux-report:all

For more info, see the documentation at https://developers.google.com/web/tools/chrome-user-experience-report/

License: CC BY 4.0

Photo by Edho Pratama on Unsplash

Online Search Ad Market Outlook

The global online search ad market size is projected to grow from $200 billion in 2023 to $350 billion by 2032, with a compound annual growth rate (CAGR) of 6.4%. This growth is driven by several factors, including advancements in digital marketing technologies, increased internet penetration, and the growing importance of online presence for businesses. As companies continue to realize the significance of targeted advertising, the demand for online search ads is expected to surge, contributing to the robust growth of this market.

One of the primary growth factors in the online search ad market is the increasing adoption of smartphones and mobile internet, which has revolutionized how consumers interact with online content. With mobile devices becoming more prevalent, businesses are leveraging search ads to reach customers on the go. This shift is particularly notable in emerging markets where mobile internet usage is outpacing desktop usage. Furthermore, advancements in data analytics and artificial intelligence have enabled more precise targeting and personalization of ads, thereby enhancing user engagement and ROI for advertisers.

Another significant driver of market growth is the expanding e-commerce sector, which relies heavily on search ads to attract potential customers. As online shopping continues to gain popularity, especially in the wake of the COVID-19 pandemic, retailers are investing more in search advertising to capture the growing online consumer base. Additionally, the rise of social media platforms and their integration with search engines has provided businesses with new avenues to reach their target audience, further boosting the demand for search ads.

Moreover, the continuous innovation in ad formats and the introduction of new ad types, such as shoppable ads and voice search ads, are contributing to the market's expansion. These innovations not only improve user experience but also offer advertisers more creative ways to engage with their audience. Companies are also increasingly utilizing programmatic advertising, which automates the buying and selling of ad space, making the process more efficient and cost-effective. These technological advancements are expected to drive further growth in the online search ad market.

Internet Advertisement has become an integral component of the digital marketing landscape, providing businesses with the ability to reach a global audience with unprecedented precision. As the digital ecosystem continues to evolve, internet advertisements are becoming more sophisticated, leveraging data-driven insights to deliver personalized content to users. This evolution is not only enhancing the effectiveness of marketing campaigns but also driving innovation in ad formats and delivery methods. With the increasing reliance on digital platforms for consumer engagement, internet advertisement is poised to play a pivotal role in shaping the future of marketing strategies across industries.

Regionally, North America currently holds the largest share of the online search ad market, driven by the presence of major tech companies and a high level of internet penetration. However, the Asia Pacific region is expected to exhibit the highest growth rate during the forecast period, fueled by the rapid digitalization and increasing internet user base in countries like China and India. The European market is also poised for steady growth, supported by the strong adoption of digital marketing strategies by businesses across the region.

Ad Type Analysis

The online search ad market can be segmented by ad type into text ads, image ads, video ads, and product listing ads. Text ads continue to dominate the market due to their simplicity and effectiveness in delivering concise messages to users. They are particularly favored by businesses looking for cost-effective advertising solutions. Despite their straightforward nature, text ads can be highly targeted, making them a valuable tool for advertisers aiming to reach specific demographics or interest groups.

Image ads, on the other hand, are gaining traction as they offer a more visually engaging experience compared to text ads. These ads leverage the power of visuals to capture user attention and convey brand messages more effectively. With the increasing use of social media platforms that prioritize visual content, image ads have become an integral part of online advertising strategies. Additio

Despite the fact that extensive list of open datasets are available in catalogues, most of the data publishers still connects their datasets to other popular datasets, such as DBpedia5, Freebase 6 and Geonames7. Although the linkage with popular datasets would allow us to explore external resources, it would fail to cover highly specialized information. Catalogues of linked data describe the content of datasets in terms of the update periodicity, authors, SPARQL endpoints, linksets with other datasets, amongst others, as recommended by W3C VoID Vocabulary. However, catalogues by themselves do not provide any explicit information to help the URI linkage process.Searching techniques can rank available datasets SI according to the probability that it will be possible to define links between URIs of SI and a given dataset T to be published, so that most of the links, if not all, could be found by inspecting the most relevant datasets in the ranking. dataset-search is a tool for searching datasets for linkage.

The Search Engine industry is highly concentrated, with three companies controlling almost the entire industry; the largest company, Alphabet Inc., has a market share greater than 96%. Search engines provide web portals that generate and maintain extensive databases of internet addresses. Industry companies generate most, if not all, of their revenue from advertising. Technological growth has resulted in more households being connected to the Internet, and a boom in e-commerce has made the industry increasingly innovative. Over the past decade, a climb in the percentage of households with internet access has supported revenue growth, while increasing technological integration with daily life has increased demand for industry services. A greater proportion of transactions being carried out online has driven innovation in targeted digital advertising, with declines in rival advertising formats like print media and television increasing the focus on digital marketing as a core strategy. Industry revenue is expected to increase at a compound annual rate of 4.7%, to reach £5.1 billion over the five years through 2024-25. Revenue is forecast to climb by 4.7% in 2024-25. Industry profit has remained high, expanding to 34.2% in 2024-25. The rise of the mobile advertising market and the proliferation of mobile devices mean there are plenty of opportunities for search engines, which are expected to capitalise on these trends further moving forward. Smartphones could disrupt the industry's status quo, as the rising popularity of devices that do not use Google as the default engine benefits other search providers. Technological advancements that incorporate user data are anticipated to make it easier to tailor advertisements and develop new ways of using consumer data. Industry revenue is forecast to jump at a compound annual rate of 6% over the five years through 2029-30, to reach £6.8 billion.

The global Website Speed and Performance Test Tool market is projected to grow from USD X.X million in 2025 to USD X.X million by 2033, at a CAGR of X.X%. The growth of this market is primarily driven by the increasing need for website optimization to improve user experience and search engine rankings, as well as the growing adoption of cloud-based testing solutions. Moreover, the increasing demand for real-time performance monitoring and competitive benchmarking is further fueling the market growth. The market for Website Speed and Performance Test Tool is segmented by application, deployment type, and region. Among different applications, personal use is expected to hold a significant market share, driven by the growing awareness of website performance among individual users. In terms of deployment type, cloud-based solutions are gaining popularity due to their flexibility, cost-effectiveness, and ease of use. Regionally, North America is expected to hold a dominant market share, followed by Europe and Asia Pacific. The growth in North America is attributed to the presence of a large number of technology companies and the early adoption of website performance testing tools. Website speed and performance are crucial aspects of user experience and search engine optimization. This report examines the market and technological landscape of website speed and performance test tools, providing insights into their usage, types, and competitive environment.