As of October 2025, Google represented ***** percent of the global online search engine referrals on desktop devices. Despite being much ahead of its competitors, this represents a modest increase from the previous months. Meanwhile, its longtime competitor Bing accounted for ***** percent, as tools like Yahoo and Yandex held shares of over **** percent and **** percent respectively. Google and the global search market Ever since the introduction of Google Search in 1997, the company has dominated the search engine market, while the shares of all other tools has been rather lopsided. The majority of Google revenues are generated through advertising. Its parent corporation, Alphabet, was one of the biggest internet companies worldwide as of 2024, with a market capitalization of **** trillion U.S. dollars. The company has also expanded its services to mail, productivity tools, enterprise products, mobile devices, and other ventures. As a result, Google earned one of the highest tech company revenues in 2024 with roughly ****** billion U.S. dollars. Search engine usage in different countries Google is the most frequently used search engine worldwide. But in some countries, its alternatives are leading or competing with it to some extent. As of the last quarter of 2023, more than ** percent of internet users in Russia used Yandex, whereas Google users represented little over ** percent. Meanwhile, Baidu was the most used search engine in China, despite a strong decrease in the percentage of internet users in the country accessing it. In other countries, like Japan and Mexico, people tend to use Yahoo along with Google. By the end of 2024, nearly half of the respondents in Japan said that they had used Yahoo in the past four weeks. In the same year, over ** percent of users in Mexico said they used Yahoo.

It starts with a simple habit: you open your browser and type a question. A few keystrokes later, Google gives you answers, videos, maps, and suggestions before you even finish your thought. For billions of people around the world, this daily interaction is second nature. But behind that blinking cursor...

In May 2025, the United States was responsible for 21.1 percent of the traffic to Google.com. In terms of web visits to the search platform, Japan came in second with 6.46 percent, followed by Brazil and India with 5.58 and 4.76 percent, respectively.

Google had a clear monopoly on the mobile search engine market across India, with a share over 99 percent as of February 2024. While the search engine's position as the market leader is evident, it is worth noting that its mobile market share declined marginally over the past year - conceded to India's second-biggest mobile search engine, DuckDuckGo.

The global search engine market, valued at $37.39 billion in 2025, is projected to experience robust growth, driven by the increasing adoption of smartphones and internet penetration across emerging economies. A Compound Annual Growth Rate (CAGR) of 14.82% from 2025 to 2033 indicates a significant expansion of this market. Key drivers include the rising demand for enhanced search capabilities, the proliferation of voice search technology, and the growing importance of search engine optimization (SEO) for businesses. The market's segmentation reveals a dynamic landscape, with both online and offline distribution channels contributing significantly. The end-user segment is divided between personal and commercial use, with the latter showing strong growth potential fueled by the increasing reliance on data-driven marketing and advertising strategies. Major players like Google, Amazon, and Baidu are at the forefront of innovation, constantly refining their algorithms and expanding their functionalities to maintain a competitive edge. The competitive landscape is further shaped by the emergence of specialized search engines catering to niche markets, driving innovation and competition. The market's geographical distribution showcases varying growth rates across regions. North America and Europe currently hold substantial market share, driven by high internet penetration and technological advancement. However, Asia-Pacific is poised for rapid growth due to its expanding digital economy and the rising number of internet users. Factors such as data privacy concerns, increasing regulatory scrutiny, and the potential for algorithm bias represent key restraints to market growth. To mitigate these challenges, search engine companies are investing heavily in responsible AI development and data security measures. The forecast period from 2025 to 2033 will likely see a continuous shift towards personalized search experiences, advanced analytics capabilities, and a greater focus on user privacy, ultimately shaping the future of online information retrieval. Recent developments include: February 2023: Microsoft launched "Binging," a cutting-edge search engine driven by AI. This innovative search engine is powered by a state-of-the-art OpenAI model, specifically fine-tuned to optimize search capabilities. The new OpenAI model draws from the expertise of ChatGPT and GPT-3.5, resulting in even faster and more precise search technology., November 2022: Google introduced local search features that were previously showcased earlier in the year. These features include the ability to search your surroundings using your phone's camera. Google has also unveiled an option to search for restaurants based on specific dishes and a new search functionality integrated into Google Maps' Live View., November 2022: Up until this point, search insights were exclusively accessible in English, focusing on users from the US, India, Canada, and the UK. However, YouTube is currently experimenting with expanding the availability of Search Insights on the desktop to more languages, starting with Japanese, Korean, and Hindi, and with plans to include additional languages in the future.. Key drivers for this market are: Increasing Focus to Improve Customer Experience Across Professional Services, Self Service and Personal Segment to Witness the Highest Growth. Potential restraints include: Increasing Focus to Improve Customer Experience Across Professional Services, Self Service and Personal Segment to Witness the Highest Growth. Notable trends are: Self Service and Personal Segment to Witness the Highest Growth.

Introduction

Google Chrome Statistics: Google Chrome has established itself as the leading web browser globally, reflecting its widespread adoption across various platforms. As of February 2025, Chrome holds approximately 66% of the global market share across all devices, surpassing competitors such as Safari, Edge, and Firefox. This dominance translates to an estimated 3.45 billion internet users utilizing Chrome as their primary web browser in 2025, marking an increase from 3.06 billion users in 2020.

The browser's popularity is further highlighted by its extensive library of extensions, with nearly 137,345 available in the Chrome Web Store, enhancing user experience through additional functionalities. Chrome's integration with Google's suite of services and its cross-platform compatibility have contributed significantly to its widespread adoption. However, this dominance has attracted regulatory scrutiny; in November 2024, the U.S. Department of Justice proposed that Google divest its Chrome browser to address concerns over its search monopoly, estimating Chrome's valuation at approximately USD 20 billion.

These developments underscore Chrome's influential position in the web browser market and its impact on global internet usage patterns.

A study done in early 2025 found that about ** percent of Google search users in the United States came across an AI-generated summary on their search journey. Approximately ** percent of U.S. visitors to the website were searching for an AI tool, such as a chatbot, image generator, or another type.

It started as a lightweight alternative to Excel, tucked quietly inside the broader Google ecosystem. But fast-forward to 2025, and Google Sheets isn’t just a spreadsheet tool; it’s a platform reshaping how individuals and businesses collaborate with data. Whether you’re a startup founder tracking KPIs, a school administrator running reports,...

It’s a crisp fall morning in Portland. A local barista opens her shop and pulls out her phone to check delivery routes for fresh beans. She taps the familiar red-and-white pin icon, Google Maps. Across the globe in Tokyo, a student uses Street View to navigate to his university. Meanwhile,...

This statistic depicts the number of unique users of Google in Italy from 2016 to 2018. According to source, the number of users increased from **** million in 2016 to **** million unique users in 2018.

Since its launch in 2008, Google Chrome has come a long way in the world of web browsers. It started as a simple project but became the default browser for Android, to mention one accomplishment. This growth also means that Google Chrome has passed multiple milestones. So, it is a...

This dataset provides a snapshot of YouTube's global reach, presenting user statistics and penetration rates by country primarily for the year 2024, with comparative figures from 2023. It includes the estimated number of unique monthly users (in millions) and the calculated penetration rate (as a percentage of the population) for dozens of countries across the globe.

Context:

The data highlights key markets like India, the United States, Brazil, Indonesia, and Mexico, which lead in total user numbers. It also sheds light on countries with high penetration rates, such as Bahrain and Qatar, indicating widespread adoption within their populations. The dataset is based on aggregated statistics reflecting YouTube's position as a leading global video-sharing platform, owned by Alphabet (Google), with billions of active users worldwide.

Inspiration:

This dataset was created to offer a clear, comparative view of YouTube's user base across different countries, enabling analysis of market size, growth trends (comparing 2024 to 2023), and digital media adoption rates globally. It can be valuable for market researchers, digital marketers, analysts, and anyone interested in the global distribution of online media consumption.

Author: Víctor Yeste. Universitat Politècnica de Valencia.The object of this study is the design of a cybermetric methodology whose objectives are to measure the success of the content published in online media and the possible prediction of the selected success variables.In this case, due to the need to integrate data from two separate areas, such as web publishing and the analysis of their shares and related topics on Twitter, has opted for programming as you access both the Google Analytics v4 reporting API and Twitter Standard API, always respecting the limits of these.The website analyzed is hellofriki.com. It is an online media whose primary intention is to solve the need for information on some topics that provide daily a vast number of news in the form of news, as well as the possibility of analysis, reports, interviews, and many other information formats. All these contents are under the scope of the sections of cinema, series, video games, literature, and comics.This dataset has contributed to the elaboration of the PhD Thesis:Yeste Moreno, VM. (2021). Diseño de una metodología cibermétrica de cálculo del éxito para la optimización de contenidos web [Tesis doctoral]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/176009Data have been obtained from each last-minute news article published online according to the indicators described in the doctoral thesis. All related data are stored in a database, divided into the following tables:tesis_followers: User ID list of media account followers.tesis_hometimeline: data from tweets posted by the media account sharing breaking news from the web.status_id: Tweet IDcreated_at: date of publicationtext: content of the tweetpath: URL extracted after processing the shortened URL in textpost_shared: Article ID in WordPress that is being sharedretweet_count: number of retweetsfavorite_count: number of favoritestesis_hometimeline_other: data from tweets posted by the media account that do not share breaking news from the web. Other typologies, automatic Facebook shares, custom tweets without link to an article, etc. With the same fields as tesis_hometimeline.tesis_posts: data of articles published by the web and processed for some analysis.stats_id: Analysis IDpost_id: Article ID in WordPresspost_date: article publication date in WordPresspost_title: title of the articlepath: URL of the article in the middle webtags: Tags ID or WordPress tags related to the articleuniquepageviews: unique page viewsentrancerate: input ratioavgtimeonpage: average visit timeexitrate: output ratiopageviewspersession: page views per sessionadsense_adunitsviewed: number of ads viewed by usersadsense_viewableimpressionpercent: ad display ratioadsense_ctr: ad click ratioadsense_ecpm: estimated ad revenue per 1000 page viewstesis_stats: data from a particular analysis, performed at each published breaking news item. Fields with statistical values can be computed from the data in the other tables, but total and average calculations are saved for faster and easier further processing.id: ID of the analysisphase: phase of the thesis in which analysis has been carried out (right now all are 1)time: "0" if at the time of publication, "1" if 14 days laterstart_date: date and time of measurement on the day of publicationend_date: date and time when the measurement is made 14 days latermain_post_id: ID of the published article to be analysedmain_post_theme: Main section of the published article to analyzesuperheroes_theme: "1" if about superheroes, "0" if nottrailer_theme: "1" if trailer, "0" if notname: empty field, possibility to add a custom name manuallynotes: empty field, possibility to add personalized notes manually, as if some tag has been removed manually for being considered too generic, despite the fact that the editor put itnum_articles: number of articles analysednum_articles_with_traffic: number of articles analysed with traffic (which will be taken into account for traffic analysis)num_articles_with_tw_data: number of articles with data from when they were shared on the media’s Twitter accountnum_terms: number of terms analyzeduniquepageviews_total: total page viewsuniquepageviews_mean: average page viewsentrancerate_mean: average input ratioavgtimeonpage_mean: average duration of visitsexitrate_mean: average output ratiopageviewspersession_mean: average page views per sessiontotal: total of ads viewedadsense_adunitsviewed_mean: average of ads viewedadsense_viewableimpressionpercent_mean: average ad display ratioadsense_ctr_mean: average ad click ratioadsense_ecpm_mean: estimated ad revenue per 1000 page viewsTotal: total incomeretweet_count_mean: average incomefavorite_count_total: total of favoritesfavorite_count_mean: average of favoritesterms_ini_num_tweets: total tweets on the terms on the day of publicationterms_ini_retweet_count_total: total retweets on the terms on the day of publicationterms_ini_retweet_count_mean: average retweets on the terms on the day of publicationterms_ini_favorite_count_total: total of favorites on the terms on the day of publicationterms_ini_favorite_count_mean: average of favorites on the terms on the day of publicationterms_ini_followers_talking_rate: ratio of followers of the media Twitter account who have recently published a tweet talking about the terms on the day of publicationterms_ini_user_num_followers_mean: average followers of users who have spoken of the terms on the day of publicationterms_ini_user_num_tweets_mean: average number of tweets published by users who spoke about the terms on the day of publicationterms_ini_user_age_mean: average age in days of users who have spoken of the terms on the day of publicationterms_ini_ur_inclusion_rate: URL inclusion ratio of tweets talking about terms on the day of publicationterms_end_num_tweets: total tweets on terms 14 days after publicationterms_ini_retweet_count_total: total retweets on terms 14 days after publicationterms_ini_retweet_count_mean: average retweets on terms 14 days after publicationterms_ini_favorite_count_total: total bookmarks on terms 14 days after publicationterms_ini_favorite_count_mean: average of favorites on terms 14 days after publicationterms_ini_followers_talking_rate: ratio of media Twitter account followers who have recently posted a tweet talking about the terms 14 days after publicationterms_ini_user_num_followers_mean: average followers of users who have spoken of the terms 14 days after publicationterms_ini_user_num_tweets_mean: average number of tweets published by users who have spoken about the terms 14 days after publicationterms_ini_user_age_mean: the average age in days of users who have spoken of the terms 14 days after publicationterms_ini_ur_inclusion_rate: URL inclusion ratio of tweets talking about terms 14 days after publication.tesis_terms: data of the terms (tags) related to the processed articles.stats_id: Analysis IDtime: "0" if at the time of publication, "1" if 14 days laterterm_id: Term ID (tag) in WordPressname: Name of the termslug: URL of the termnum_tweets: number of tweetsretweet_count_total: total retweetsretweet_count_mean: average retweetsfavorite_count_total: total of favoritesfavorite_count_mean: average of favoritesfollowers_talking_rate: ratio of followers of the media Twitter account who have recently published a tweet talking about the termuser_num_followers_mean: average followers of users who were talking about the termuser_num_tweets_mean: average number of tweets published by users who were talking about the termuser_age_mean: average age in days of users who were talking about the termurl_inclusion_rate: URL inclusion ratio

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?

Context

I've been exploring on how to use https://pypi.org/project/google-play-scraper/ and as one of my initial pet projects, I extracted the Facebook Google App reviews of the top 40 countries with most Facebook users as stated in this website https://wisevoter.com/country-rankings/facebook-users-by-country/ .

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F1842206%2F2fbcdd42770c3f8492e505fbd7d685bd%2Ffacebook2.png?generation=1699794691453126&alt=media" alt="">

Im currently extracting the top 31st to 60th countries and will add to this dataset as soon as it finishes.

Note

Images generated using Bing Image Generator

Key YouTube Statistics (Editor’s Choice) YouTube recorded 70 billion monthly active users in March 2023, which includes 55.10% of worldwide active social media users. There have been more than 14 million daily active users currently on YouTube, in the United States of America this platform is accessed by 62% of users. YouTube is touted as the second largest search engine and the second most visited website after Google. Revenue earned by YouTube in the first two quarters of 2023 is around $14.358 billion. In 2023, YouTube Premium and YouTube Music have recorded 80 million subscribers collectively worldwide. YouTube consumers view more than a billion hours of video per day. YouTube has more than 38 million active channels. In the fourth quarter of 2021, YouTube ad revenue has been $8.6 billion. Around 3 million paid subscribers to access YouTube TV. YouTube Premium has around 1 billion paid users. In 2023, YouTube was banned in countries such as China excluding Macau and Hong Kong, Eritrea, Iran, North Korea, Turkmenistan, and South Sudan. With 166 million downloads, the YouTube app has become the second most downloaded entertainment application across the world after Netflix. With 91 million downloads, YouTube Kids has become the sixth most downloaded entertainment app in the world. Nearly 90% of digital consumers access YouTube in the US, making it the most popular social network for watching video content. Over 70% of YouTube viewership takes place on its mobile application. More than 70% of YouTube video content watched by people is suggested by its algorithm. The average duration of a video on YouTube is 12 minutes. An average YouTube user spends 20 minutes and 23 seconds on the platform daily. Around 28% of YouTube videos that are published by popular channels are in the English language. 77% of YouTube users watch comedy content on the platform. With 247 million subscribers, T-Series has become the most subscribed channel on YouTube. Around 50 million users log on to YouTube every day. YouTube's biggest concurrent views record has been at 2.3 billion from when SpaceX has gone live on the platform to unveil Falcon Heavy Rocket. The majority of YouTube users are in the age group of 15 to 35 years in the US. The male-female ratio of YouTube users is 11:9. Apple INC. has been touted as the biggest advertiser on YouTube in 2020 spending $237.15 million. YouTube produced total revenue of $19.7 billion in 2020. As of 2021, the majority of YouTube users (467 million) are from India. It is the most popular platform in the United States with 74 percent of adult users. YouTube contributes to nearly 25% of mobile traffic worldwide. Daily live streaming on YouTube has increased by 45% in total in 2020. In India, around 225 million people are active on the platform each hour as per the 2021 statistics. YouTube Usage and Viewership Statistics #1. YouTube accounts for more than 2 billion monthly active users Around 2.7 billion users log on to YouTube each month. The number of monthly active users of YouTube is expected to grow even further. #2. Around 14.3 billion people visit the platform every month The number of YouTube visitors is far higher compared to Facebook, Amazon, and Instagram. #3. YouTube is accessible across 100 countries in 80 languages. The platform is widely available across different communities and nations. #4. 53.9% of YouTube users are men and 46.1% of women use the platform As of 2023 statistics, 53.9% of men use the platform and 46.1% of women over 18 years are on YouTube. The share in the number of males and females is 1.38 billion and 1.18 billion respectively. Age Group Male Female 18 to 24 8.5% 6% 25 to 34 11.6% 8.6% 35 to 44 9% 7.5% 45 to 54 6.2% 5.7% 55 to 64 4.4% 4.5% Above 65 4.3% 5.4% #5. 99% of YouTube users are active on other social media networks as well. Fewer than 1% of YouTube users are solely dependent on the platform. #6. Users spend around 20 minutes and 23 seconds per day on YouTube on average It is quite a generous amount of time spent on any social network platform. #7. YouTube is the second most visited site worldwide With more than 14 billion visits per month, YouTube has become the second most visited site in the world. However, its parent company Google is the most visited site across the globe. As per the statistics, YouTube is the third most popular searched word on Google. #8. 694000 hours of video content are streamed on YouTube per minute YouTube has outweighed Netflix as well in terms of streaming video content. #9. Over 81% of total internet users have accessed YouTube #10. Nearly 450 million hours of video content are uploaded on YouTube each hour More than 5 billion videos are watched on YouTube per day. #11. India has the maximum numb

A comparative table of response and citation characteristics for ChatGPT and Google AI Overview in 2025, including response length, sentence length, number of sources, duplication rate, domain overlap, subjectivity, readability, AI marker usage, domain age share, and semantic similarity.

This statistic shows the Google users in China in 2011 by age group. In 2011, **** percent of Google users in China were 50 years old or older.

This dataset contains two tables: creative_stats and removed_creative_stats. The creative_stats table contains information about advertisers that served ads in the European Economic Area or Turkey: their legal name, verification status, disclosed name, and location. It also includes ad specific information: impression ranges per region (including aggregate impressions for the European Economic Area), first shown and last shown dates, which criteria were used in audience selection, the format of the ad, the ad topic and whether the ad is funded by Google Ad Grants program. A link to the ad in the Google Ads Transparency Center is also provided. The removed_creative_stats table contains information about ads that served in the European Economic Area that Google removed: where and why they were removed and per-region information on when they served. The removed_creative_stats table also contains a link to the Google Ads Transparency Center for the removed ad. Data for both tables updates periodically and may be delayed from what appears on the Google Ads Transparency Center website. About BigQuery This data is hosted in Google BigQuery for users to easily query using SQL. Note that to use BigQuery, users must have a Google account and create a GCP project. This public dataset is included in BigQuery's 1TB/mo of free tier processing. Each user receives 1TB of free BigQuery processing every month, which can be used to run queries on this public dataset. Watch this short video to learn how to get started quickly using BigQuery to access public datasets. What is BigQuery . Download Dataset This public dataset is also hosted in Google Cloud Storage here and available free to use. Use this quick start guide to quickly learn how to access public datasets on Google Cloud Storage. We provide the raw data in JSON format, sharded across multiple files to support easier download of the large dataset. A README file which describes the data structure and our Terms of Service (also listed below) is included with the dataset. You can also download the results from a custom query. See here for options and instructions. Signed out users can download the full dataset by using the gCloud CLI. Follow the instructions here to download and install the gCloud CLI. To remove the login requirement, run "$ gcloud config set auth/disable_credentials True" To download the dataset, run "$ gcloud storage cp gs://ads-transparency-center/* . -R" This public dataset is hosted in Google BigQuery and is included in BigQuery's 1TB/mo of free tier processing. This means that each user receives 1TB of free BigQuery processing every month, which can be used to run queries on this public dataset. Watch this short video to learn how to get started quickly using BigQuery to access public datasets. What is BigQuery .

According to a study ended June 2025, organic clicks continued to be the most prevalent action for users in the United States after conducting a search on Google Search, with a rate of over ** percent over the analyzed period. However, the number of zero-click searches increased significantly in the nation starting in March 2025, accounting for over ** percent of all searches as of the most recent month under analysis.