Coingecko Data: 11.5 Million Projects Died in 2025, The Most Devastating Year in Crypto History

marsbitPublicado a 2026-01-14Actualizado a 2026-01-14

Resumen

According to data from GeckoTerminal, 53.2% of all cryptocurrency projects have failed, with the vast majority of these failures—86.3%—occurring in 2025 alone. A staggering 11.6 million token projects died in 2025, making it the most devastating year in crypto history. This sharp decline in token viability is linked to extreme market turbulence, particularly within the memecoin sector. A record-breaking liquidation event on October 10, 2025, where $19 billion in leveraged positions were liquidated in 24 hours, triggered a chain reaction that led to the collapse of 7.7 million projects in Q4 alone. Despite the high failure rate, the total number of crypto projects exploded—growing from 428,383 projects on GeckoTerminal in 2021 to over 20.2 million by 2025. This surge is largely attributed to the rise of token launch platforms that made creating low-quality memecoins exceptionally easy. In comparison, 2024 saw 1.4 million project failures, accounting for 10.3% of all failures in the past five years, while failures from 2021 to 2023 made up just 3.4%. The data includes tokens that had at least one trade before failing and only counts "graduated" tokens from platforms like pump.fun.

Author:Shaun Paul Lee

Compiled by: Deep Tide TechFlow

How Many Cryptocurrencies Have "Died"?

According to data from GeckoTerminal, 53.2% of cryptocurrency projects have failed, with the majority of these failures concentrated in 2025. In 2025 alone, 11.6 million token projects came to an end, accounting for 86.3% of all failed projects. This phenomenon is closely related to the severe market turbulence throughout the year, particularly the impact on the memecoin sector.

This sharp decline in token viability may be related to the market turmoil throughout the year, especially affecting the meme coin sector.

Shockingly, the fourth quarter of 2025 alone saw 7.7 million token projects collapse, accounting for 34.9% of all failed projects. This sharp decline is closely linked to the "liquidation chain reaction" that occurred on October 10. In this record-breaking event, a staggering $19 billion in leveraged positions were liquidated within 24 hours, making it the single largest day of deleveraging in cryptocurrency history.

Despite the extreme volatility in the cryptocurrency market in 2025, the total number of cryptocurrency projects grew dramatically. From 428,383 projects on GeckoTerminal in 2021, this number had surged to nearly 20.2 million projects by 2025. This growth is largely attributed to the rise of various token issuance platforms, which made creating low-quality memecoins and projects exceptionally easy.

86.3% of Cryptocurrencies Died in 2025

As of December 31, 2025, a total of 11.6 million cryptocurrency projects had failed, setting a new historical record for the number of failed projects in a single year. These failed projects account for 86.3% of all failure cases between 2021 and 2025.

This was followed by 2024, which saw approximately 1.4 million project failures, accounting for 10.3% of the total failures over the past five years. 2024 was also the second-highest peak for the growth in the number of cryptocurrency projects, with over 3 million new projects entering the market. However, before the launch of the pump.fun platform in 2024, the number of cryptocurrency failures remained at a relatively low six-figure level. In contrast, the total number of failed projects between 2021 and 2023 accounts for only 3.4% of the total failures over the past five years.

Year-by-Year Statistics: Cryptocurrency Failure Data

The following statistics show the number of failed cryptocurrency projects each year from 2021 to 2025:

Research Methodology

This study analyzed tokens and cryptocurrency projects (collectively referred to as "cryptocurrencies") that were once listed on GeckoTerminal between July 1, 2021, and December 31, 2025, but are no longer actively traded. These projects are classified as "failed" or "dead" and are grouped according to the year of their last active trade.

  • Only tokens that had at least one trade before failing are counted.
  • Additionally, only token projects that had "graduated" within the pump.fun platform were included.

Lecturas Relacionadas

Analyzing the Impact of AI on Economic Growth and Productivity

**Title: Analyzing AI's Impact on Economic Growth and Productivity** This article examines three contrasting views on AI's influence on economic growth and productivity. **The Optimistic View** posits that AI, especially through automating R&D ("recursive self-improvement"), could dramatically accelerate growth, even triggering a technological "singularity" with explosive, potentially infinite, economic expansion. **The Moderate/Mainstream View** acknowledges AI's productivity benefits but emphasizes significant real-world constraints that could limit its impact. These include: limited cost savings per task, structural ceilings on which jobs and industries are "exposed" to AI, adoption bottlenecks (e.g., compute, energy, regulatory hurdles), and the "weak link" effect where non-automatable tasks cap overall gains. Consequently, the realized AI dividend may be far lower than optimistic projections, with estimates typically ranging from 0.1% to 1.3% annual productivity growth. **The Pessimistic View** stems from two strands. The first aligns with the moderate view but applies extremely conservative assumptions about task exposure and efficiency gains, yielding minimal projected impact. The second introduces a demand-side critique: if AI primarily replaces rather than augments labor, it could depress labor's share of income, weaken consumer demand, and create a "demand trap" that ultimately stifles growth, unless offset by redistribution policies. **The authors' assessment** is nuanced: * **Short-term (1-2 years):** AI will support growth primarily through investment spending, not significant productivity gains. * **Medium-term (3-5 years):** Three potential paths emerge based on AI demand and bottleneck severity: 1. **"Optimistic Path":** High demand, few bottlenecks. Rapid productivity gains but risk of major job displacement and social conflict without redistribution. 2. **"Moderate Path" (most likely):** High demand but significant, surmountable bottlenecks. Leads to moderate productivity gains, financial market volatility (K-shaped returns), and sectoral job losses. 3. **"Pessimistic Path":** Low demand or severe bottlenecks. Minimal productivity and growth impact, triggering financial market corrections but allowing a smoother societal transition with less labor disruption. * **Long-term:** AI holds potential for a major productivity revolution and prosperity. The conclusion stresses that no path is smooth. Technologically "optimistic" outcomes could be socially detrimental, while "pessimistic" technological diffusion might be more socially stable. Policymakers must monitor developments and prepare balanced responses to manage economic, financial, and social sustainability.

marsbitHace 3 min(s)

Analyzing the Impact of AI on Economic Growth and Productivity

marsbitHace 3 min(s)

The New Cold War is a Tech Stock War

The New Cold War is a Tech Stock War The article argues that the contemporary geopolitical and economic rivalry between the US and China represents a "New Cold War," but one fundamentally fought through technology and financial markets, not physical barriers or conventional trade. Historically, US dominance was secured through financial systems. The Soviet Union, reliant on the rigid "Transferable Ruble," was ultimately undermined by its dependency on the US dollar for oil trade. Later, Japan's semiconductor challenge was countered not just by tariffs (e.g., Plaza Accord, 301 investigations) but by binding it to US Treasury bonds. China presents a more complex, "embedded" challenger. While it holds vast dollar reserves and US debt like Japan, its industrial base is stronger and more diversified than the Soviet Union's. Surviving the initial 2018 trade war phase, the conflict has evolved into a "tech-financial war." The core battlefield is now the stock market. US tech stocks (AI, semiconductors) are treated as sovereign assets, buoyed by bipartisan national will. China is pushing to strengthen its own financial markets to convert industrial strength into financial power and fund its tech ambitions. Companies like ChangXin (semiconductors), Moonshot AI, and DJI compete not just for market share but as financial proxies for their respective systems. The new paradigm is moving from globally efficient monopolies (Apple, Google) towards companies that achieve monopolistic profits within their respective geopolitical spheres. This competition over "pricing power" and financial valuation in segmented markets defines the current era, making the stock market the primary arena for this tech-centric struggle.

marsbitHace 13 min(s)

The New Cold War is a Tech Stock War

marsbitHace 13 min(s)

RWA Weekly: Ten European Financial Institutions Establish Tokenized Asset Cooperative; Ondo Launches New Execution Network Ondo Network

RWA Weekly: European Banks Form Tokenized Asset Cooperative; Ondo Launches New Execution Network Ondo Network Covering July 24-31, 2026, the RWA sector saw a steady on-chain total value locked (TVL) of $36.8 billion, with holder count hitting a record high. However, stablecoin transfer volumes fell sharply (~30%), indicating low on-chain settlement demand. Key regulatory moves include South Korea advancing stablecoin legislation and a push to scrap crypto taxes, Kenya lowering capital requirements for stablecoin issuers, and Zimbabwe approving seven projects for its crypto sandbox. In project developments, BIS-led Project Agorá successfully tested cross-border payments with tokenized funds across six currencies. Ten major European financial institutions formed the RL1 blockchain cooperative to build tokenized asset infrastructure. Other notable updates: Aviva launched a tokenized dollar liquidity fund on XRPL, POSCO International tokenized commercial invoices on Injective, and a Brazilian farmer used tokenized cattle as collateral for a loan. Additional progress includes BNY Mellon migrating its core transfer agent operations to blockchain, Securitize gaining SEC investment advisor registration, and Tether’s compliant stablecoin USA₮ launching on Celo. Ondo Finance introduced Ondo Network, a new execution layer focused on speed and privacy, moving away from its initial chain plans. An analysis highlights that despite the growing scale of on-chain RWAs (~$32B), approximately 90% remain underutilized in DeFi, pointing to a critical challenge in unlocking liquidity and fostering real-world application beyond mere issuance.

marsbitHace 13 min(s)

RWA Weekly: Ten European Financial Institutions Establish Tokenized Asset Cooperative; Ondo Launches New Execution Network Ondo Network

marsbitHace 13 min(s)

South Korean Stock Market Sees Sharp Rebound After Forceful De-leveraging, SK Hynix Rises 30%

On July 31, South Korean stocks staged a historic rebound. The benchmark KOSPI index surged 18.27%, with chipmaker SK Hynix hitting a 30% gain limit. This followed a brutal, near-40% decline in the KOSPI over the previous month, driven largely by a deleveraging spiral involving leveraged ETFs. Analysts attributed the sharp sell-off to structural liquidity issues rather than deteriorating corporate fundamentals. The rally was triggered by a confluence of positive catalysts. Firstly, strong earnings from U.S. cloud giants Microsoft and Amazon alleviated fears of an "AI bubble burst," boosting global tech sentiment. Secondly, SK Group Chairman Chey Tae-won made a rare personal purchase of SK Hynix shares, seen as a strong vote of confidence. Thirdly, the South Korean government announced a 20 trillion won ($139 billion) AI investment fund. In response to the market turmoil, South Korean regulators are tightening controls on leveraged ETFs, admitting oversight shortcomings. Measures include raising minimum cash保证金 requirements for散户 investors and suspending new product launches. While the rebound signals eased liquidity pressure, analysts note deep structural issues remain. The market's future stability is seen as dependent on global tech capital expenditure trends and memory chip price cycles, with some viewing the surge as a technical correction rather than a definitive trend reversal.

marsbitHace 33 min(s)

South Korean Stock Market Sees Sharp Rebound After Forceful De-leveraging, SK Hynix Rises 30%

marsbitHace 33 min(s)

Trading

Spot
活动图片