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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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AI

Charted: The Jobs Most Impacted by AI

We visualized the results of an analysis by the World Economic Forum, which uncovered the jobs most impacted by AI.

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Charted: The Jobs Most Impacted by AI

This was originally posted on our Voronoi app. Download the app for free on iOS or Android and discover incredible data-driven charts from a variety of trusted sources.

Large language models (LLMs) and other generative AI tools haven’t been around for very long, but they’re expected to have far-reaching impacts on the way people do their jobs. With this in mind, researchers have already begun studying the potential impacts of this transformative technology.

In this graphic, we’ve visualized the results of a World Economic Forum report, which estimated how different job departments will be exposed to AI disruption.

Data and Methodology

To identify the job departments most impacted by AI, researchers assessed over 19,000 occupational tasks (e.g. reading documents) to determine if they relied on language. If a task was deemed language-based, it was then determined how much human involvement was needed to complete that task.

With this analysis, researchers were then able to estimate how AI would impact different occupational groups.

DepartmentLarge impact (%)Small impact (%)No impact (%)
IT73261
Finance70219
Customer Sales671617
Operations651817
HR57412
Marketing56413
Legal46504
Supply Chain431839

In our graphic, large impact refers to tasks that will be fully automated or significantly altered by AI technologies. Small impact refers to tasks that have a lesser potential for disruption.

Where AI will make the biggest impact

Jobs in information technology (IT) and finance have the highest share of tasks expected to be largely impacted by AI.

Within IT, tasks that are expected to be automated include software quality assurance and customer support. On the finance side, researchers believe that AI could be significantly useful for bookkeeping, accounting, and auditing.

Still interested in AI? Check out this graphic which ranked the most commonly used AI tools in 2023.

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