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Charting the Number of Failed Crypto Coins, by Year (2013-2022)

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A series of bar charts measuring the volume of failed crypto coins from 2013-2022.

The Number of Failed Crypto Coins, by Year (2013-2022)

Ever since the first major crypto boom in 2011, tens of thousands of cryptocurrency coins have been released to market.

And while some cryptocurrencies performed well, others have ceased to trade or have ended up as failed or abandoned projects.

These graphics from CoinKickoff break down the number of failed crypto coins by the year they died, and the year they started. The data covers a decade of coin busts from 2013 through 2022.

Methodology

What is the marker of a “dead” crypto coin?

This analysis reviewed data from failed crypto coins listed on Coinopsy and cross-referenced against CoinMarketCap to verify previous market activity. The reason for each coin death was also tabulated, including:

  • Failed Initial Coin Offerings (ICOs)
  • Abandonment with less than $1,000 in trade volume over a three-month period
  • Scams or coins that were meant as a joke

Dead Crypto Coins from 2013 to 2022

While many familiar crypto coins—Litecoin, Dogecoin, and Ethereum—are still on the market today, there were at least 2,383 crypto coins that bit the dust between 2013 and 2022.

Here’s a breakdown of how many crypto coins died each year by reason:

Dead Coins
by Year
Abandoned /
No Volume
Scams /
Other Issues
ICO Failed /
Short-Lived
Joke / No
purpose
20139000
20142772052
20152232712
20161522245
201716971466
201839023711212
201920373512
2020771990
2021343622
2022502382
Total1,58452823833

Abandoned coins with flatlining trading volume accounted for 1,584 or 66.5% of analyzed crypto failures over the last decade. Comparatively, 22% ended up being scam coins, and 10% failed to launch after an ICO.

As for individual years, 2018 saw the largest total of annual casualties in the crypto market, with 751 dead crypto coins. More than half of them were abandoned by investors, but 237 coins were revealed as scams or embroiled in other controversies, such as BitConnect which turned out to be a Ponzi scheme.

Why was 2018 such a big year for crypto failures?

This is largely because the year prior saw Bitcoin prices climb above $1,000 for the first time with an eventual peak near $19,000. As a result, speculation ran hot, new crypto issuances boomed, and many investors and firms got bullish on the market for the first time.

How Many Newly Launched Coins Died?

Of the hundreds of coins that launched in 2017, more than half were considered defunct by the end of 2022.

proportion of launched crypto coins each year that have died

Indeed, a lot of earlier-launched coins have since died. The majority of coins launched between 2013 and 2017 have already become “dead coins” by the end of 2022.

Coin Start YearDead Coins by 2022
201366.67%
201476.54%
201568.42%
201660.87%
201757.14%
201827.62%
20194.74%
20201.03%
20210.59%
20220.06%

Part of this is because the cryptocurrency field itself was still being figured out. Many coins were launched in a time of experimentation and innovation, but also of volatility and uncertainty.

However, the trend began to shift in 2018. Only 27.62% of coins launched in that year have bit the dust so far, and the failure rates in 2019 and 2020 fell further to only 4.74% and 1.03% of launched coins, respectively.

This suggests that the crypto industry has become more mature and stable, with newer projects establishing themselves more securely and investors becoming wiser to potential scams.

How will this trend evolve into 2023 and beyond?

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This article was published as a part of Visual Capitalist's Creator Program, which features data-driven visuals from some of our favorite Creators around the world.

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Ranked: The Most Popular Generative AI Tools in 2024

OpenAI’s ChatGPT recorded over 2 billion website visits in March 2024, beating out all other generative AI tools by a wide margin.

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The Most Popular Generative AI Tools by Web Traffic

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.

Interest in generative AI tools has seen a surge in popularity in recent years, coinciding with the release of OpenAI’s groundbreaking chatbot, ChatGPT.

Not only has search interest around AI skyrocketed recently, the number of AI patents has also seen enormous growth since 2020.

While new players have been entering the generative AI space, there are clear leaders when it comes to general popularity. This graphic shows the 15 most popular generative AI tools based on web traffic in March 2024.

The data comes from a World Bank policy research working paper titled “Who on Earth is Using Generative AI?” by Yan Liu and He Wang.

ChatGPT Reigns Supreme Among AI Tools

OpenAI’s ChatGPT leads the generative AI market by a wide margin, accounting for 82.5% of total web traffic among 40 generative AI tools analyzed in the study.

RankGenAI ToolTypeTraffic in March 2024 (million visits)
1ChatGPTChatbot2,343.2
2GeminiChatbot132.9
3PoeChatbot43.4
4PerplexityChatbot40.2
5ClaudeChatbot32.3
6DeepAIChatbot31.1
7CopilotChatbot26.2
8MidjourneyImage24.7
9PreziImage18.0
10NightcafeImage13.9
11LeonardoImage13.6
12GammaImage11.6
13PixaiImage9.6
14RunwayVideo9.0
15IdeogramImage8.9

ChatGPT is the only generative AI tool to have exceeded 1 billion website visits in March 2024, and in August 2024, OpenAI said ChatGPT recorded over 200 million active weekly users.

In general, chatbots like ChatGPT, Claude, Perplexity, and Gemini are the most popular type of generative AI tool, followed by image creation tools like Midjourney.

Runway, which is backed by investors like Google and Nvidia, is the only AI video generation company to make the top 15. Its latest foundation model, Gen-3 Alpha, launched in June.

The company recently partnered with Lionsgate to train a custom model on Lionsgate’s vast film and TV catalog.

However, other major players are entering the AI video landscape. Along with OpenAI’s Sora, which was announced in February of 2024, Meta recently announced their own AI video generation model called Movie Gen that can create realistic video and audio clips based on user prompts.

Learn More on the Voronoi App

To learn more about the impact of artificial intelligence, check out this graphic that shows AI’s effects on various industry margins over the next five years.

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