Ranked: The Top 50 Most Visited Websites in the World
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Ranked: The Top 50 Most Visited Websites in the World

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Data visualization showing the top 50 websites in the world

Ranked: The Top 50 Most Visited Websites in the World

Estimates vary, but there are upwards of two billion websites in existence in 2023.

If we were to rank all of these websites according to their traffic numbers, we would see a classic power law distribution. At the low end, the vast majority of these websites would be inactive, receiving little to no traffic. On the upper end of the ranking though, a handful of websites receive the lion’s share of internet traffic.

This visualization, using data from SimilarWeb, takes a look at the 50 websites that currently sit at the top of the ranking.

Which Websites Get the Most Traffic?

Topping the list of most-visited websites in the world is, of course, Google. With over 3.5 billion searches per day, Google has cemented its position as the go-to source for information on the internet. But Google’s dominance doesn’t stop there. The company also owns YouTube, the second-most popular website in the world. Together, Google and YouTube have more traffic than the next 48 websites combined.

The power of YouTube, in particular, is sometimes not fully understood. The video platform is the second largest search engine in the world after Google. As well, YouTube has the second highest duration-of-visit numbers in this top 50 ranking. (First place goes to the Chinese video sharing website, Bilibili.)

But Google and YouTube aren’t the only big players on the internet. Other websites in the top 50 ranking include social media giants Facebook, Instagram, and TikTok. In particular, TikTok has seen a surge in popularity in recent years and is now one of the most popular social media platforms in the world.

Here’s the full top 50 ranking table form:

RankWebsiteMonthly TrafficCategoryCountry
#1google.com85.1BSearch Engines๐Ÿ‡บ๐Ÿ‡ธ U.S.
#2youtube.com33.0BStreaming & Online TV๐Ÿ‡บ๐Ÿ‡ธ U.S.
#3facebook.com17.8BSocial Media Networks๐Ÿ‡บ๐Ÿ‡ธ U.S.
#4twitter.com6.8BSocial Media Networks๐Ÿ‡บ๐Ÿ‡ธ U.S.
#5instagram.com6.1BSocial Media Networks๐Ÿ‡บ๐Ÿ‡ธ U.S.
#6baidu.com5.0BSearch Engines๐Ÿ‡จ๐Ÿ‡ณ China
#7wikipedia.org4.8BDictionaries & Encyclopedias๐Ÿ‡บ๐Ÿ‡ธ U.S.
#8yandex.ru3.4BSearch Engines๐Ÿ‡ท๐Ÿ‡บ Russia
#9yahoo.com3.3BNews & Media Publishers๐Ÿ‡บ๐Ÿ‡ธ U.S.
#10whatsapp.com2.9BSocial Media Networks๐Ÿ‡บ๐Ÿ‡ธ U.S.
#11xvideo.com2.8BAdult๐Ÿ‡จ๐Ÿ‡ฟ Czechia
#12amazon.com2.6BMarketplace๐Ÿ‡บ๐Ÿ‡ธ U.S.
#13pornhub.com2.5BAdult๐Ÿ‡จ๐Ÿ‡ฆ Canada
#14xnxx.com2.3BAdult๐Ÿ‡ซ๐Ÿ‡ท France
#15live.com2.1BEmail๐Ÿ‡บ๐Ÿ‡ธ U.S.
#16yahoo.co.jp2.1BNews & Media Publishers๐Ÿ‡ฏ๐Ÿ‡ต Japan
#17netflix.com2.0BStreaming & Online TV๐Ÿ‡บ๐Ÿ‡ธ U.S.
#18tiktok.com1.8BSocial Media Networks๐Ÿ‡จ๐Ÿ‡ณ China
#19docomo.ne.jp1.8BTelecommunications๐Ÿ‡ฏ๐Ÿ‡ต Japan
#20reddit.com1.7BSocial Media Networks๐Ÿ‡บ๐Ÿ‡ธ U.S.
#21office.com1.6BProg. & Developer Software๐Ÿ‡บ๐Ÿ‡ธ U.S.
#22linkedin.com1.6BSocial Media Networks๐Ÿ‡บ๐Ÿ‡ธ U.S.
#23dzen.ru1.4BFaith & Beliefs๐Ÿ‡ท๐Ÿ‡บ Russia
#24samsung.com1.4BConsumer Electronics๐Ÿ‡ฐ๐Ÿ‡ท S. Korea
#25vk.com1.4BSocial Media Networks๐Ÿ‡ท๐Ÿ‡บ Russia
#26xhamster.com1.3BAdult๐Ÿ‡จ๐Ÿ‡พ Cyprus
#27turbopages.org1.3BNews & Media Publishers๐Ÿ‡ท๐Ÿ‡บ Russia
#28mail.ru1.2BEmail๐Ÿ‡ท๐Ÿ‡บ Russia
#29naver.com1.2BNews & Media Publishers๐Ÿ‡ฐ๐Ÿ‡ท S. Korea
#30bing.com1.2BSearch Engines๐Ÿ‡บ๐Ÿ‡ธ U.S.
#31microsoftonline.com1.1BProg. & Developer Software๐Ÿ‡บ๐Ÿ‡ธ U.S.
#32discord.com1.1BSocial Media Networks๐Ÿ‡บ๐Ÿ‡ธ U.S.
#33twitch.tv1.1BGaming & Accessories๐Ÿ‡บ๐Ÿ‡ธ U.S.
#34bilibili.com1.0BAnimations & Comics๐Ÿ‡จ๐Ÿ‡ณ China
#35pinterest.com1.0BSocial Media Networks๐Ÿ‡บ๐Ÿ‡ธ U.S.
#36zoom.us985.9MComputers Electronics & Tech๐Ÿ‡บ๐Ÿ‡ธ U.S.
#37weather.com985.7MWeather๐Ÿ‡บ๐Ÿ‡ธ U.S.
#38qq.com907.1MNews & Media Publishers๐Ÿ‡จ๐Ÿ‡ณ China
#39microsoft.com902.3MProg. & Developer Software๐Ÿ‡บ๐Ÿ‡ธ U.S.
#40msn.com870.8MNews & Media Publishers๐Ÿ‡บ๐Ÿ‡ธ U.S.
#41globo.com840.1MNews & Media Publishers๐Ÿ‡ง๐Ÿ‡ท Brazil
#42duckduckgo.com839.0MSearch Engines๐Ÿ‡บ๐Ÿ‡ธ U.S.
#43roblox.com795.7MGaming & Accessories๐Ÿ‡บ๐Ÿ‡ธ U.S.
#44quora.com775.9MDictionaries & Encyclopedias๐Ÿ‡บ๐Ÿ‡ธ U.S.
#45news.yahoo.co.jp749.1MNews & Media Publishers๐Ÿ‡ฏ๐Ÿ‡ต Japan
#46ebay.com728.0MMarketplace๐Ÿ‡บ๐Ÿ‡ธ U.S.
#47aajtak.in724.1MNews & Media Publishers๐Ÿ‡ฎ๐Ÿ‡ณ India
#48nytimes.com702.2MNews & Media Publishers๐Ÿ‡บ๐Ÿ‡ธ U.S.
#49realsrv.com688.0MAdult๐Ÿ‡บ๐Ÿ‡ธ U.S.
#50cnn.com684.9MNews & Media Publishers๐Ÿ‡บ๐Ÿ‡ธ U.S.

Notable companies that have fallen out of the top 50 since our last version of this visualization are Walmart and PayPal. Notable entrants into the top 50 are Samsung and the New York Times.

The Geography of the 50 Most-Visited Websites

The United States is still home base for many of the world’s biggest websites, taking up 30 spots on this ranking. Of these 30 websites, half are operated by Big Tech companies such as Microsoft, Amazon, Alphabet, Meta, and Netflix.

Russia, China, Japan, and South Korea round out the top five.

Top 50 Websites by country
View static image

Things get interesting in the “other” category, which includes six websites. Two spots are taken up by Aaj Tak and Globo, which are large media publications in India and Brazil, respectively.

The remaining four websitesโ€”XVideos, PornHub, XHamster, and XNXXโ€”specialize in adult content, and are located in a variety of countries. These are often referred to as “tube sites” since they are built on the YouTube model.

Realsrv, the only adult-oriented site in the top 50 located in the U.S., is interesting to delve into as well, since it’s far from a household name. The website essentially supports advertising efforts by redirecting users away from the content they were viewing over to another page (generally premium adult content). This is one of the key ways that adult websites earn revenue.

Where does this data come from?

Source: SimilarWeb

Notes: Websites listed include “all meaningful subdomains”, and categories in the graphic follow SimilarWeb’s categorization system. This is the third version of this graphic. As with previous versions, we aim to use data from November for the sake of consistency and to avoid seasonal fluctuations in traffic. One important detail to point out is that website traffic does not include app traffic, which is why popular platforms like WeChat don’t appear in this ranking.

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Infographic: Generative AI Explained by AI

What exactly is generative AI and how does it work? This infographic, created using generative AI tools such as Midjourney and ChatGPT, explains it all.

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Generative AI Explained by AI

After years of research, it appears that artificial intelligence (AI) is reaching a sort of tipping point, capturing the imaginations of everyone from students saving time on their essay writing to leaders at the world’s largest tech companies. Excitement is building around the possibilities that AI tools unlock, but what exactly these tools are capable of and how they work is still not widely understood.

We could write about this in detail, but given how advanced tools like ChatGPT have become, it only seems right to see what generative AI has to say about itself.

Everything in the infographic above โ€“ from illustrations and icons to the text descriptionsโ โ€”was created using generative AI tools such as Midjourney. Everything that follows in this article was generated using ChatGPT based on specific prompts.

Without further ado, generative AI as explained by generative AI.

Generative AI: An Introduction

Generative AI refers to a category of artificial intelligence (AI) algorithms that generate new outputs based on the data they have been trained on. Unlike traditional AI systems that are designed to recognize patterns and make predictions, generative AI creates new content in the form of images, text, audio, and more.

Generative AI uses a type of deep learning called generative adversarial networks (GANs) to create new content. A GAN consists of two neural networks: a generator that creates new data and a discriminator that evaluates the data. The generator and discriminator work together, with the generator improving its outputs based on the feedback it receives from the discriminator until it generates content that is indistinguishable from real data.

Generative AI has a wide range of applications, including:

  • Images: Generative AI can create new images based on existing ones, such as creating a new portrait based on a person’s face or a new landscape based on existing scenery
  • Text: Generative AI can be used to write news articles, poetry, and even scripts. It can also be used to translate text from one language to another
  • Audio: Generative AI can generate new music tracks, sound effects, and even voice acting

Disrupting Industries

People have concerns that generative AI and automation will lead to job displacement and unemployment, as machines become capable of performing tasks that were previously done by humans. They worry that the increasing use of AI will lead to a shrinking job market, particularly in industries such as manufacturing, customer service, and data entry.

Generative AI has the potential to disrupt several industries, including:

  • Advertising: Generative AI can create new advertisements based on existing ones, making it easier for companies to reach new audiences
  • Art and Design: Generative AI can help artists and designers create new works by generating new ideas and concepts
  • Entertainment: Generative AI can create new video games, movies, and TV shows, making it easier for content creators to reach new audiences

Overall, while there are valid concerns about the impact of AI on the job market, there are also many potential benefits that could positively impact workers and the economy.

In the short term, generative AI tools can have positive impacts on the job market as well. For example, AI can automate repetitive and time-consuming tasks, and help humans make faster and more informed decisions by processing and analyzing large amounts of data. AI tools can free up time for humans to focus on more creative and value-adding work.

How This Article Was Created

This article was created using a language model AI trained by OpenAI. The AI was trained on a large dataset of text and was able to generate a new article based on the prompt given. In simple terms, the AI was fed information about what to write about and then generated the article based on that information.

In conclusion, generative AI is a powerful tool that has the potential to revolutionize several industries. With its ability to create new content based on existing data, generative AI has the potential to change the way we create and consume content in the future.

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