This Chart Reveals Google's True Dominance Over the Web
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This Chart Reveals Google’s True Dominance Over the Web

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This Chart Shows Google's True Dominance on the Web

This Chart Reveals Google’s True Dominance Over the Web

The Chart of the Week is a weekly Visual Capitalist feature on Fridays.

Yes, we all know that Google is dominant in the realm of search.

But at the same time, the internet is also a huge place – and building a decent searching algorithm can’t be that hard, right?

This week’s chart is a bit mind-boggling, because it makes the case that Google is even more dominant than you may have guessed. Between all Google features and the search giant’s YouTube subsidiary, more than 90% of all internet searches are taking place through the company.

The Hard Data

According to Jumpshot (via SparkToro), a marketing analytics firm that licenses anonymous ClickStream data from hundreds of millions of users, about 62.6% of all searches online are through Google’s core function.

But that’s just the beginning, as that number doesn’t include other Google functions like image search or Google Maps, or properties such as YouTube:

Search Platform% of Searches
Google62.6%
Google (image)22.6%
YouTube4.3%
Google Maps1.3%
Google Total90.8%

Together, Google holds onto an impressive 90.8% market share of web, mobile, and in-app searches – though it should be noted that the above source does not include iPhone data at scale yet.

The Google-opoly

How does Google keep up such a massive market share, and why can’t a real competitor in search emerge?

The answer has to do with platforms and apps. Google’s strategy is to go where the users are, and to ensure that wherever they go, a Google search is not hard to do.

Over a decade ago, this meant being the home page on every internet browser – but more recently, it’s taken the form of internet browser market share (Chrome), mobile OS market share (Android), owning the dominant video platform (YouTube), and even venturing into your dwelling with Google Home.

As a result of these efforts, whenever users are searching, Google has never been far away.

Low Bids from Competition

There are competitors that dare to pluck away at Google’s market share in search and ad revenue.

Microsoft’s Bing is the most known one, and it has the advantage of being integrated into Microsoft products all over the globe. Meanwhile, DuckDuckGo is another name worth mentioning – the privacy-focused search engine doesn’t have anywhere near the same kind of financial backing as Microsoft, but it does differentiate its product considerably.

Yet, here’s a picture of U.S. search ad revenues. Bing is small, but others are smaller. DuckDuckGo doesn’t even register.

Search revenue in U.S.

Why can no one match Google?

Part of the reason lies in the math. Google operates at an insane level, processing 3.5 billion searches per day. To get millions of people to try a different search algorithm is expensive – and to get them to keep that behavior permanently is even more expensive.

The only way such change becomes feasible is if a product comes out that is 10x better than Google, and at this point, such an event seems unlikely – at least in the current ecosystem.

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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 – from illustrations and icons to the text descriptions⁠—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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