Solana Emerges As The Most Active Blockchain Ahead Of Major Chains By Daily Transactions

bitcoinistPublished on 2026-03-03Last updated on 2026-03-03

Abstract

Solana has emerged as the most active blockchain by daily transaction volume, significantly outperforming other major chains. As the SOL price rebounded toward $90, the network processed approximately 108.8 million daily transactions—nearly ten times more than its closest competitor, BNB Chain, which recorded 13.0 million. Other networks, including Base, TRON, Polygon, and Ethereum, trailed further behind. This surge is attributed to Solana’s high-speed infrastructure, low fees, and growing activity in DeFi, NFTs, and consumer applications. Additionally, Solana dominated in decentralized exchange (DEX) volume throughout February and continued strongly into March, with over $200 billion in DEX volume recorded in just the first two days. This reflects deeper on-chain strength and sustained user engagement, signaling a shift in liquidity toward faster and more cost-effective blockchain networks.

As Monday drew to a close, the Solana price witnessed a bounce, bringing it closer to the $90 mark, which has ignited bullish sentiment among investors. The SOL’s price rebound coincides with a significant uptick in the network’s activity and performance, with SOL emerging as the No. 1 blockchain among all major chains.

Daily Transaction Count Puts Solana On Top

Solana’s price action and network performance appear to be moving in a similar direction, with the price briefly bouncing as network activity explodes. Once again, the network has proven its position as a leader in the blockchain sector, becoming the most go-to chain in the sector on a daily basis.

Founder and Chief Executive Officer (CEO) of Sensei Holding and Namaste Group, Solana Sensei, shared on X that the SOL network has surged ahead of competition in terms of transaction volume. The report shows that SOL tops the charts in daily on-chain transactions count across all major blockchain networks.

Fueled by its high-speed infrastructure, cheap fees, and growing activity across DeFi, NFTs, and consumer-facing applications, Solana is processing more transactions per day than its closest competitors. SOL’s dominance in this area marks a notable achievement, highlighting the network’s expanding role as a high-throughput hub for on-chain operations.

Source: Chart from Solana Sensei on X

Solana Sensei highlighted that the SOL network is currently processing nearly 10 times or more transactions than other major chains, reflecting sustained user engagement and increasing ecosystem maturity. Taking a look at the chart, SOL recorded daily transactions of approximately 108.8 million, with BNB Chain coming in second position with over 13.0 million daily transfers.

Meanwhile, leading networks like Base, TRON, Polygon, and Ethereum recorded 12.5 million, 9.9 million, 8.9 million, and 2.8 million, respectively. As developers continue to release new apps and users migrate to more affordable platforms, SOL’s transaction leadership demonstrates a wider change in where blockchain activity is concentrating in the current market cycle.

SOL DEX Volume Expands Beyond Other Chains

In another X post, Solana Sensei revealed that SOL is rapidly asserting dominance in the decentralized trading arena. According to the expert, SOL’s DEX volume has skyrocketed beyond that of competing blockchain networks. The increase in decentralized exchange activity is indicative of a larger shift in liquidity toward quicker, more affordable networks.

In the entire month of February, the SOL network dominated all major chains to secure the top spot in DEX volume. Such an increase in DEX volume indicates deeper on-chain strength, market infrastructure, and ongoing user participation rather than just transient speculation.

This notable DEX performance from SOL is starting to unfold this new month. Just 2 days into the month of March, the total Solana DEX volume has exceeded $200 billion, further reinforcing the network’s leading role in the evolving on-chain financial landscape.

SOL trading at $85 on the 1D chart | Source: SOLUSDT on Tradingview.com

Related Questions

QAccording to the article, which blockchain has the highest number of daily on-chain transactions?

ASolana has the highest number of daily on-chain transactions, with approximately 108.8 million.

QWhat are the key factors mentioned that are fueling Solana's high transaction volume?

AThe key factors are its high-speed infrastructure, cheap fees, and growing activity across DeFi, NFTs, and consumer-facing applications.

QHow does Solana's daily transaction count compare to its closest competitor, BNB Chain?

ASolana's daily transaction count of 108.8 million is nearly 10 times that of BNB Chain, which recorded over 13.0 million.

QWhat achievement did Solana secure in the decentralized exchange (DEX) volume for the month of February?

ASolana secured the top spot in DEX volume among all major chains for the entire month of February.

QWhat was the total Solana DEX volume just two days into the month of March, as stated in the article?

AThe total Solana DEX volume exceeded $200 billion just two days into the month of March.

Related Reads

Gensyn AI: Don't Let AI Repeat the Mistakes of the Internet

In recent months, the rapid growth of the AI industry has attracted significant talent from the crypto sector. A persistent question among researchers intersecting both fields is whether blockchain can become a foundational part of AI infrastructure. While many previous AI and Crypto projects focused on application layers (like AI Agents, on-chain reasoning, data markets, and compute rentals), few achieved viable commercial models. Gensyn differentiates itself by targeting the most critical and expensive layer of AI: model training. Gensyn aims to organize globally distributed GPU resources into an open AI training network. Developers can submit training tasks, nodes provide computational power, and the network verifies results while distributing incentives. The core issue addressed is not decentralization for its own sake, but the increasing centralization of compute power among tech giants. In the era of large models, access to GPUs (like the H100) has become a decisive bottleneck, dictating the pace of AI development. Major AI companies are heavily dependent on large cloud providers for compute resources. Gensyn's approach is significant for several reasons: 1) It operates at the core infrastructure layer (model training), the most resource-intensive and technically demanding part of the AI value chain. 2) It proposes a more open, collaborative model for compute, potentially increasing resource utilization by dynamically pooling idle GPUs, similar to early cloud computing logic. 3) Its technical moat lies in solving complex challenges like verifying training results, ensuring node honesty, and maintaining reliability in a distributed environment—making it more of a deep-tech infrastructure company. 4) It targets a validated, high-growth market with genuine demand, rather than pursuing blockchain integration without purpose. Ultimately, the boundaries between Crypto and AI are blurring. AI requires global resource coordination, incentive mechanisms, and collaborative systems—areas where crypto-native solutions excel. Gensyn represents a step toward making advanced training capabilities more accessible and collaborative, moving beyond a niche controlled by a few giants. If successful, it could evolve into a fundamental piece of AI infrastructure, where the most enduring value in the AI era is often created.

marsbit12h ago

Gensyn AI: Don't Let AI Repeat the Mistakes of the Internet

marsbit12h ago

Why is China's AI Developing So Fast? The Answer Lies Inside the Labs

A US researcher's visit to China's top AI labs reveals distinct cultural and organizational factors driving China's rapid AI development. While talent, data, and compute are similar to the West, Chinese labs excel through a pragmatic, execution-focused culture: less emphasis on individual stardom and conceptual debate, and more on teamwork, engineering optimization, and mastering the full tech stack. A key advantage is the integration of young students and researchers who approach model-building with fresh perspectives and low ego, prioritizing collective progress over personal credit. This contrasts with the US culture of self-promotion and "star scientist" narratives. Chinese labs also exhibit a strong "build, don't buy" mentality, preferring to develop core capabilities—like data pipelines and environments—in-house rather than relying on external services. The ecosystem feels more collaborative than tribal, with mutual respect among labs. While government support exists, its scale is unclear, and technical decisions appear driven by labs, not state mandates. Chinese companies across sectors, from platforms to consumer tech, are building their own foundational models to control their tech destiny, reflecting a broader cultural drive for technological sovereignty. Demand for AI is emerging, with spending patterns potentially mirroring cloud infrastructure more than traditional SaaS. Despite challenges like a less mature data industry and GPU shortages, Chinese labs are propelled by vast talent, rapid iteration, and deep integration with the open-source community. The competition is evolving beyond a pure model race into a contest of organizational execution, developer ecosystems, and industrial pragmatism.

marsbit14h ago

Why is China's AI Developing So Fast? The Answer Lies Inside the Labs

marsbit14h ago

3 Years, 5 Times: The Rebirth of a Century-Old Glass Factory

Corning, a 175-year-old glass company, is experiencing a dramatic revival as a key player in AI infrastructure, driven by surging demand for high-performance optical fiber in data centers. AI data centers require vastly more fiber than traditional ones—5 to 10 times as much per rack—to handle high-speed data transmission between GPUs. This structural demand shift, coupled with supply constraints from the lengthy expansion cycle for fiber preforms, has created a significant supply-demand gap. Nvidia has invested in Corning, along with Lumentum and Coherent, in a $4.5 billion total commitment to secure the optical supply chain for AI. Corning's competitive edge lies in its expertise in producing ultra-low-loss, high-density, and bend-resistant specialty fiber, which is critical for 800G+ and future 1.6T data rates. Its deep involvement in co-packaged optics (CPO) with partners like Nvidia further solidifies its position. While not the largest fiber manufacturer globally, Corning's revenue from enterprise/data center clients now exceeds 40% of its optical communications sales, and it has secured multi-year supply agreements with major hyperscalers including Meta and Nvidia. Financially, Corning's optical communications revenue has surged, doubling from $1.3 billion in 2023 to over $3 billion in 2025. Its stock price has risen nearly 6-fold since late 2023. Key future catalysts include the rollout of Nvidia's CPO products and the scale of undisclosed customer agreements. However, risks include high current valuations and potential disruption from next-generation technologies like hollow-core fiber. The company's long-term bet on light over electricity, maintained even through the telecom bubble crash, is now being validated by the AI boom.

marsbit14h ago

3 Years, 5 Times: The Rebirth of a Century-Old Glass Factory

marsbit14h ago

Trading

Spot
Futures

Hot Articles

Discussions

Welcome to the HTX Community. Here, you can stay informed about the latest platform developments and gain access to professional market insights. Users' opinions on the price of SOL (SOL) are presented below.

活动图片