MEXC Surges to Third Place Among Global Crypto Exchanges, Doubles Trading Volume in 2025

TheNewsCryptoОпубліковано о 2026-02-11Востаннє оновлено о 2026-02-11

Анотація

MEXC has surged to become the third-largest global cryptocurrency exchange by spot trading volume, capturing 7.8% market share with $1.5 trillion in trades throughout 2025, according to Coingecko. The platform achieved 90.9% year-over-year growth, far exceeding the industry average of 7.6%. Its success is attributed to a retail-focused strategy and a transformative zero-fee trading model, which attracted new and active traders. While major competitors like Binance and Bybit saw declining volumes, MEXC grew alongside other rising exchanges. The exchange aims to continue removing barriers to entry and enhancing user experience, supporting its position as a top player in the crypto market.

MEXC, the fastest-growing global cryptocurrency exchange, redefining a user-first approach to digital assets through true zero-fee trading, has secured the third position among centralized exchanges worldwide, capturing 7.8% market share and recording $1.5 trillion in spot trading volume throughout 2025, according to Coingecko.

The exchange demonstrated exceptional growth of 90.9% year-over-year, significantly outpacing the industry average of 7.6% and establishing itself as the fastest-growing platform among the top 10 exchanges. This momentum continued through December 2025, when MEXC processed $86.0 billion in monthly spot trading volume.

“We are proud to stand among the top three fastest-growing exchanges in a year when much of the industry struggled to expand,” said Vugar Usi, Chief Operating Officer of MEXC. “While many competitors leaned heavily on institutional flows, we built our platform around retail users. That focus allowed us to attract new traders, boost activity, and capture meaningful market share. Our goal is simple: challenge the status quo by pushing barriers to entry as close to zero as possible, so both high-frequency traders and retail users can participate without compromise.”

The platform’s aggressive zero-fee policy has proven transformative in attracting diverse trading activity. While competitors maintained traditional fee structures, MEXC’s approach resonated particularly well with active traders seeking to maximize returns and retail investors entering the cryptocurrency market.

MEXC’s ascent becomes more remarkable when contextualized within the broader market. While industry leader Binance saw volumes contract by 0.5% and second-place Bybit declined 13.7%, MEXC’s growth trajectory positioned it alongside other rising platforms like Bitget (+45.5%) and Gate (+39.7%). The exchange now processes comparable volume to Bybit’s $1.5 trillion, despite Bybit’s longer market presence.

The achievement follows a year of sustained momentum across the cryptocurrency sector, with the top 10 exchanges collectively processing $18.7 trillion in trading volume during 2025. MEXC’s performance contributed significantly to this total while capturing market share from established competitors.

Looking ahead, MEXC remains focused on expanding its zero-fee commitment while enhancing platform infrastructure and user experience. The exchange continues to prioritize accessibility, security, and innovation as core pillars of its growth strategy.

About MEXC

Founded in 2018, MEXC is committed to being “Your Easiest Way to Crypto.” Serving over 40 million users across 170+ countries, MEXC is known for its broad selection of trending tokens, everyday airdrop opportunities, and low trading fees. Our user-friendly platform is designed to support both new traders and experienced investors, offering secure and efficient access to digital assets. MEXC prioritizes simplicity and innovation, making crypto trading more accessible and rewarding.

MEXC Official Website| X | Telegram |How to Sign Up on MEXC

For media inquiries, please contact MEXC PR team: media@mexc.com

Disclaimer: TheNewsCrypto does not endorse any content on this page. The content depicted in this Press Release does not represent any investment advice. TheNewsCrypto recommends our readers to make decisions based on their own research. TheNewsCrypto is not accountable for any damage or loss related to content, products, or services stated in this Press Release.

TagsMEXCPress Release

Пов'язані питання

QWhat position did MEXC secure among global centralized cryptocurrency exchanges in 2025, and what was its market share?

AMEXC secured the third position among global centralized cryptocurrency exchanges in 2025, capturing a 7.8% market share.

QHow much spot trading volume did MEXC record in 2025, and what was its year-over-year growth rate?

AMEXC recorded $1.5 trillion in spot trading volume in 2025, with a year-over-year growth rate of 90.9%.

QAccording to the COO, what was the key focus of MEXC's strategy that contributed to its growth, unlike many competitors?

AAccording to COO Vugar Usi, MEXC built its platform around retail users, focusing on attracting new traders and pushing barriers to entry as close to zero as possible, unlike many competitors who leaned heavily on institutional flows.

QHow did the trading volume of industry leaders Binance and Bybit change in comparison to MEXC's growth?

AWhile MEXC's volume grew by 90.9%, industry leader Binance saw its volumes contract by 0.5% and second-place Bybit declined by 13.7%.

QWhat are the core pillars of MEXC's growth strategy as mentioned in the press release?

AThe core pillars of MEXC's growth strategy are accessibility, security, and innovation.

Пов'язані матеріали

Can Generative Models Finally Be Trained End-to-End? The Core Is a For Loop

This article introduces a novel training paradigm for generative models called Explorative Modeling (XM), which enables true end-to-end training. Traditionally, powerful generative models like autoregressive and diffusion models are not trained end-to-end. They are trained to predict a single small step but require iterative multi-step sampling for inference. This "exposure bias" leads to error accumulation and limits performance. The core challenge XM addresses is "mode blurring." In generative tasks, a single input (e.g., "generate a dog") corresponds to many valid outputs (multiple modes). Standard training objectives like reconstruction loss force the model to average these modes, producing unrealistic, blurry outputs. To avoid this, existing models break generation into many small, almost deterministic steps, sacrificing end-to-end training. XM tackles this by restructuring the training loop itself. Its key insight is to amplify "generative expressivity." For each training input, instead of generating one sample, the model generates K candidate outputs. Only the candidate closest to the real data is used for computing the loss and updating the model via backpropagation. This simple "best-of-K" mechanism is implemented as a short for-loop. By exploring multiple possibilities, the model learns to distribute its guesses across different modes rather than collapsing to their uninformative average. The paper demonstrates that "exploration" acts as a new, powerful scaling axis. Gains from XM increase with model size, data scale, and compute. Experiments show improvements in FID scores for image generation and significant efficiency gains, sometimes outperforming larger models without exploration. When pushed to the limit, XM enables fully single-step, end-to-end generative models. In robotics tasks, an "Explorative Policy" matched the performance of a 100-step Diffusion Policy with a single forward pass, drastically improving inference speed. While the best-of-K concept is not entirely new, the authors' contribution lies in formally understanding it as a direct method to boost generative expressivity without fragmenting the generation process. This work suggests that as models scale, enhancing exploration during training may become crucial for overcoming fundamental performance bottlenecks.

marsbit49 хв тому

Can Generative Models Finally Be Trained End-to-End? The Core Is a For Loop

marsbit49 хв тому

Annual Salary of Millions Competing for Electricians, Meta Rushes to Open Its Own Technical School

The AI boom is facing an unexpected bottleneck: a severe shortage of skilled construction workers and electricians. As tech giants like Meta, OpenAI, and Alphabet race to build massive data centers—such as OpenAI's $16 billion "Stargate" project—they are hitting a critical labor wall. The U.S. needs an estimated 130,000 more electricians, 240,000 construction workers, and 150,000 supervisors by 2030 for AI infrastructure alone, but tens of thousands of electrician jobs go unfilled each year. While AI companies offer high premiums, with electricians earning up to $280,000 annually, worker scarcity still causes massive losses—delays on a single project can cost $14.2 million per month. The complexity of building AI data centers, which require immense power (equivalent to powering hundreds of thousands of homes), sophisticated electrical systems, and advanced liquid cooling solutions, demands highly skilled technicians who are in short supply. To combat this, companies are investing heavily in training. Meta has committed $115 million to a free training school offering tuition, housing, and stipends, targeting 5,000 new workers. OpenAI is partnering with unions to secure skilled labor. These efforts are paying off, with a significant rise in Gen Z interest in trade schools over college. However, the power demands are staggering. AI data centers are driving a rapid surge in electricity consumption, projected to account for up to 12% of U.S. power use by 2028 and raising costs for consumers. Furthermore, the construction boom is project-based, leading to a potential future glut of trained workers once building peaks, which could depress wages industry-wide. The race for AI supremacy now depends as much on skilled hands as on advanced chips.

marsbit2 год тому

Annual Salary of Millions Competing for Electricians, Meta Rushes to Open Its Own Technical School

marsbit2 год тому

Торгівля

Спот
活动图片