As a greater portion of the world begins to live more of their life online, the world’s top 100 websites continue to see explosive growth in their traffic numbers.
To claim even the 100th spot in this ranking, your website would need around 350 million visits in a single month. Using data from SimilarWeb, we’ve visually mapped out the top 100 biggest websites on the internet. Examining the ranking reveals a lot about how people around the world search for information, which services they use, and how they spend time online.
Note: This is a ranking of biggest websites, specifically. Brands that extend across platforms or serve the majority of their users through an app will not necessarily rank well on this list. As a result, you’ll notice the absence of companies like WeChat and Snapchat.
The Top 100 Websites
The 100 biggest websites generated a staggering 206 billion visits in June 2019. Google, YouTube, and Facebook took the top spots, followed by Baidu and Wikipedia. Below is the full ranking:
|Global Rank||Domain||Monthly visits (billions)||Parent||Country|
|1||Google.com||60.49||Alphabet Inc||🇺🇸 United States|
|2||Youtube.com||24.31||Alphabet Inc||🇺🇸 United States|
|3||Facebook.com||19.98||Facebook, Inc||🇺🇸 United States|
|4||Baidu.com||9.77||Baidu, Inc||🇨🇳 China|
|5||Wikipedia.org||4.69||Wikimedia Foundation||🇺🇸 United States|
|6||Twitter.com||3.92||Twitter, Inc||🇺🇸 United States|
|7||Yahoo.com||3.74||Verizon Comm. Inc||🇺🇸 United States|
|9||Instagram.com||3.21||Facebook, Inc||🇺🇸 United States|
|10||xvideos.com||3.19||WGCZ Holding||🇨🇿 Czech Republic|
|12||ampproject.org||2.76||N/A||🇺🇸 United States|
|13||xnxx.com||2.47||WGCZ Holding||🇨🇿 Czech Republic|
|14||amazon.com||2.41||Amazon.com, Inc||🇺🇸 United States|
|15||live.com||2.25||Microsoft Corporation||🇺🇸 United States|
|16||vk.com||2.16||Mail.ru Group||🇷🇺 Russia|
|17||netflix.com||1.81||Netflix, Inc||🇺🇸 United States|
|19||whatsapp.com||1.76||Facebook, Inc||🇺🇸 United States|
|20||mail.ru||1.64||Mail.ru Group||🇷🇺 Russia|
|21||Reddit.com||1.55||Advance Publications||🇺🇸 United States|
|22||yahoo.co.jp||1.5||Verizon Comm. Inc||🇯🇵 Japan|
|23||google.com.br||1.38||Alphabet Inc||🇧🇷 Brazil|
|24||bing.com||1.32||Microsoft Corporation||🇺🇸 United States|
|25||ok.ru||1.08||Mail.ru Group||🇷🇺 Russia|
|26||xhamster.com||1.06||Hammy Media Ltd||🇨🇾 Cyprus|
|27||sogou.com||1||Tencent, Sohu Inc||🇨🇳 China|
|28||ebay.com||0.95||eBay Inc||🇺🇸 United States|
|29||bit.ly||0.95||Spectrum Equity||🇺🇸 United States|
|30||twitch.tv||0.91||Amazon.com, Inc||🇺🇸 United States|
|31||linkedin.com||0.91||Microsoft Corporation||🇺🇸 United States|
|32||samsung.com||0.89||Samsung Group||🇰🇷 South Korea|
|33||sm.cn||0.81||Alibaba Group||🇨🇳 China|
|34||msn.com||0.8||Microsoft Corporation||🇺🇸 United States|
|35||office.com||0.79||Microsoft Corporation||🇺🇸 United States|
|36||globo.com||0.74||Grupo Globo||🇧🇷 Brazil|
|37||taobao.com||0.74||Alibaba Group||🇨🇳 China|
|38||pinterest.com||0.74||Pinterest, Inc||🇺🇸 United States|
|39||google.de||0.73||Alphabet Inc||🇩🇪 Germany|
|40||Microsoft.com||0.72||Microsoft Corporation||🇺🇸 United States|
|41||accuweather.com||0.71||AccuWeather Inc||🇺🇸 United States|
|42||naver.com||0.64||Naver Corporation||🇰🇷 South Korea|
|43||aliexpress.com||0.64||Alibaba Group||🇨🇳 China|
|44||fandom.com||0.61||Wikia Inc||🇺🇸 United States|
|45||quora.com||0.58||Quora Inc||🇺🇸 United States|
|46||github.com||0.57||Microsoft Corporation||🇺🇸 United States|
|47||imdb.com||0.57||Amazon.com, Inc||🇺🇸 United States|
|48||uol.com.br||0.56||Grupo Folha||🇧🇷 Brazil|
|49||docomo.ne.jp||0.56||Tata Teleservices||🇯🇵 Japan|
|51||bbc.co.uk||0.55||Public owned||🇬🇧 United Kingdom|
|53||paypal.com||0.53||Paypal||🇺🇸 United States|
|54||google.fr||0.53||Alphabet Inc||🇫🇷 France|
|55||yidianzixun.com||0.51||Particle Inc||🇨🇳 China|
|56||wordpress.com||0.51||Automattic||🇺🇸 United States|
|57||news.google.com||0.51||Alphabet Inc||🇺🇸 United States|
|59||duckduckgo.com||0.51||Duck Duck Go, Inc||🇺🇸 United States|
|60||google.co.uk||0.51||Alphabet Inc||🇬🇧 United Kingdom|
|61||10086.cn||0.5||China Mobile||🇨🇳 China|
|62||iqiyi.com||0.5||Baidu, Inc||🇨🇳 China|
|63||booking.com||0.5||Booking Holdings||🇺🇸 United States|
|64||amazon.co.jp||0.49||Amazon.com, Inc||🇯🇵 Japan|
|65||cricbuzz.com||0.49||Times Internet||🇮🇳 India|
|66||taboola.com||0.48||Taboola Inc||🇺🇸 United States|
|67||amazon.de||0.48||Amazon.com, Inc||🇩🇪 Germany|
|68||cnn.com||0.47||Turner Broadcasting||🇺🇸 United States|
|69||jd.com||0.47||Various (Tencent 20%)||🇨🇳 China|
|70||apple.com||0.47||Apple Inc||🇺🇸 United States|
|71||google.it||0.45||Alphabet Inc||🇮🇹 Italy|
|72||bilibili.com||0.44||Bilibili Inc||🇨🇳 China|
|73||google.co.jp||0.44||Alphabet Inc||🇯🇵 Japan|
|74||livejasmin.com||0.44||Docler Group||🇱🇺 Luxembourg|
|75||tmall.com||0.44||Alibaba Group||🇨🇳 China|
|76||news.yahoo.co.jp||0.44||Verizon Comm. Inc||🇯🇵 Japan|
|77||youtu.be||0.44||Alphabet Inc||🇺🇸 United States|
|78||tribunnews.com||0.43||Kompas Gramedia Group||🇮🇩 Indonesia|
|79||amazon.co.uk||0.43||Amazon.com, Inc||🇬🇧 United Kingdom|
|80||chaturbate.com||0.43||Multi Media LLC||🇺🇸 United States|
|81||google.co.in||0.41||Alphabet Inc||🇮🇳 India|
|82||craigslist.org||0.41||Craigslist||🇺🇸 United States|
|83||imgur.com||0.41||Imgur Inc||🇺🇸 United States|
|84||bbc.com||0.41||Public owned||🇬🇧 United Kingdom|
|85||fc2.com||0.39||FC2, Inc||🇺🇸 United States|
|88||tumblr.com||0.37||Verizon||🇺🇸 United States|
|89||foxnews.com||0.36||Fox Corporation||🇺🇸 United States|
|90||rakuten.co.jp||0.36||Rakuten Inc||🇯🇵 Japan|
|91||google.es||0.36||Alphabet Inc||🇪🇸 Spain|
|92||outbrain.com||0.36||Outbrain Inc||🇺🇸 United States|
|93||discordapp.com||0.36||Various||🇺🇸 United States|
|94||amazon.in||0.35||Amazon.com, Inc||🇮🇳 India|
|96||weather.com||0.34||Landmark Media Enterprises, LLC||🇺🇸 United States|
|98||youku.com||0.34||Alibaba Group||🇨🇳 China|
|99||adobe.com||0.34||Adobe Inc||🇺🇸 United States|
Search Reigns Supreme
Search engines provide the connective tissue that binds the internet together, and they accounted for the majority of website traffic in the top 100 ranking.
Google is the undisputed top website in nearly every country in the world. In fact, Alphabet’s 11 domains in the top 100 ranking – including YouTube and a number of international versions of Google – racked up an impressive 90 billion visits in a single month.
Exceptions to Google’s dominance can be found in China (Baidu) and Russia (Yandex), where homegrown search engines have managed to capture the domestic market.
One scrappy competitor, DuckDuckGo, is slowly gaining prominence as an alternative to Google. The search engine’s focus on user privacy appears to be resonating with internet users as the site’s traffic has surpassed 500 million visits per month.
Full Stream Ahead
Video streaming and sharing is another major driver of global internet traffic.
Thanks to high-powered phones and bigger data plans, video is now a prominent portion of internet content consumption. This can take a few forms, from binge watching TV shows on Netflix to short-form video uploads on platforms like Douyin and Instagram.
Live streaming is increasingly a bigger part of the mix. Twitch, which is focused on gaming, is now ranked 30th in the world in web traffic. The Amazon-owned platform is now so popular that on any given night, its viewership surpasses many of the major U.S. cable networks.
Of course, this category also includes adult content, which is well represented in this ranking. XNXX, XVideos, and PornHub all made the top 20, and the three websites combined for over nine billion visits in the most recent month of data available.
Old Dogs, New Tricks
Classic web portals such as MSN and Yahoo are still putting up impressive traffic numbers, but major players are increasingly staying relevant by acquiring rising internet stars.
In the case of Microsoft, acquiring Github and Linkedin helped the company target new markets and grow their overall presence online. Amazon’s acquisition of Twitch proved to be a good bet, and Instagram continues to breathe new life into Facebook, which has seen a backlash focused on its original namesake social network.
The project is not without controversy though.
Critics point out that cached AMP pages – which are hosted by Google – essentially cut out content creators, and that non-compliant pages may lose their ranking on mobile search results. As the project moves towards becoming a foundation, it remains to be seen how AMP will evolve and how much involvement Google will have in the future.
The Geography of the Top 100 Websites
The internet may be a global network, but many of the gatekeepers are still located in the United States. If international domain suffixes of companies like Amazon and Google are counted, 60 of the 100 websites in the ranking are American.
Below is a breakdown of the Top 100 by country.
China is a strong runner-up, with 15 websites in the Top 100. While most of these Chinese companies are focused on the sizable domestic market, some are also making global inroads through investment. Tencent has partially backed the fast-growing chat platform, Discord, and it also has double-digit stakes in Snapchat and Spotify.
With the exception of Baidu, all of the biggest websites in the world have swelled in size by serving a global audience. As the tech market continues to mature in China, it remains to be seen whether Chinese companies can successfully move beyond the firewall to become the next Facebook or Google.
Correction: Bilibili, a website run by a Chinese company, was incorrectly identified as a Japanese company.
Charted: The Exponential Growth in AI Computation
In eight decades, artificial intelligence has moved from purview of science fiction to reality. Here’s a quick history of AI computation.
Charted: The Exponential Growth in AI Computation
Electronic computers had barely been around for a decade in the 1940s, before experiments with AI began. Now we have AI models that can write poetry and generate images from textual prompts. But what’s led to such exponential growth in such a short time?
The Three Eras of AI Computation
In the 1950s, American mathematician Claude Shannon trained a robotic mouse called Theseus to navigate a maze and remember its course—the first apparent artificial learning of any kind.
Theseus was built on 40 floating point operations (FLOPs), a unit of measurement used to count the number of basic arithmetic operations (addition, subtraction, multiplication, or division) that a computer or processor can perform in one second.
Computation power, availability of training data, and algorithms are the three main ingredients to AI progress. And for the first few decades of AI advances, compute, which is the computational power needed to train an AI model, grew according to Moore’s Law.
|1950–2010||Pre-Deep Learning||18–24 months|
|2010–2016||Deep Learning||5–7 months|
|2016–2022||Large-scale models||11 months|
Source: “Compute Trends Across Three Eras of Machine Learning” by Sevilla et. al, 2022.
However, at the start of the Deep Learning Era, heralded by AlexNet (an image recognition AI) in 2012, that doubling timeframe shortened considerably to six months, as researchers invested more in computation and processors.
With the emergence of AlphaGo in 2015—a computer program that beat a human professional Go player—researchers have identified a third era: that of the large-scale AI models whose computation needs dwarf all previous AI systems.
Predicting AI Computation Progress
Looking back at the only the last decade itself, compute has grown so tremendously it’s difficult to comprehend.
For example, the compute used to train Minerva, an AI which can solve complex math problems, is nearly 6 million times that which was used to train AlexNet 10 years ago.
Here’s a list of important AI models through history and the amount of compute used to train them.
|Perceptron Mark I||1957–58||695,000|
|AlphaGo||2016||1.9 million petaFLOPs|
|GPT-3||2020||314 million petaFLOPs|
|Minerva||2022||2.7 billion petaFLOPs|
Note: One petaFLOP = one quadrillion FLOPs. Source: “Compute Trends Across Three Eras of Machine Learning” by Sevilla et. al, 2022.
The result of this growth in computation, along with the availability of massive data sets and better algorithms, has yielded a lot of AI progress in seemingly very little time. Now AI doesn’t just match, but also beats human performance in many areas.
It’s difficult to say if the same pace of computation growth will be maintained. Large-scale models require increasingly more compute power to train, and if computation doesn’t continue to ramp up it could slow down progress. Exhausting all the data currently available for training AI models could also impede the development and implementation of new models.
However with all the funding poured into AI recently, perhaps more breakthroughs are around the corner—like matching the computation power of the human brain.
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