Solana’s 755% Surge Shows That Users Are Coming Back To The Table

bitcoinistPublished on 2026-03-08Last updated on 2026-03-08

Abstract

A new Messari report highlights Solana's remarkable resurgence, with its Total Payment Volume (TPV) surging 755% year-over-year, far outpacing competitors like Ethereum and traditional fintech giants. This growth signals a strong return of users and developers to the ecosystem, driven by Solana's high-speed, low-cost infrastructure that settles transactions in milliseconds for a fraction of a cent. The network is seeing renewed institutional interest as well, with Solana Spot ETFs recording nearly $40 million in inflows over a week, led by Bitwise's fund. Despite broader market pressures, these metrics indicate that Solana is aggressively positioning itself as a backbone for global payments.

After months of bearish pressure and fading market enthusiasm, Solana (SOL) appears to be finding its footing again. A new report by Messari, a crypto market intelligence platform, shows the network’s payment volume has surged dramatically by 755%, indicating that users are finally flooding back into the blockchain. Amid this surge, Solana has also seen a significant spike in its exchange-traded fund (ETF) despite its low price, indicating that users and institutional investors are returning to the market.

Solana 755% TPV Surge Point To User Comeback

In its new report, titled ‘State of Solana Payments,’ Messari reveals that the cryptocurrency is aggressively positioning itself as the backbone of global payment infrastructure. As of February 11, 2026, the report shows that Solana’s Total Payment Volume (TPV) recorded a 755.3% year-over-year growth rate, nearly tripling the median of 268.24% across traditional fintech giants and peer layer-1 blockchains.

The figures place Solana ahead of every competitor measured, including Ethereum at 625.2%, BNB Chain at 648.3%, and legacy processors like PayPal and Fiserv, which posted modest growth rates of 6% and 7.5%, respectively. Notably, the scale of Solana’s TPV growth points to a clear return of users to the ecosystem. Volume at this level does not occur without real on-chain activity, and the data shows that both developers and end users may be actively engaging with SOL’s payment infrastructure again.

Source: Chart from Messari

In its report, Messari argues that most of SOL’s edge comes from the structural failures of traditional financial infrastructure. The current global system still relies heavily on legacy rails built for the internet. Because of this, payments are often expensive and slow. Transactions can take several days to complete as funds must pass through banks in different countries, placing a heavy burden on cross-border payments.

Messari notes that Solana addresses these issues by unifying “messaging and settlement into a single atomic operation.” Due to its high throughput and parallel architecture, the blockchain network is said to settle transactions in milliseconds, avoiding intermediaries from correspondent banks and the typical delays seen in legacy systems. Historically, SOL has also reportedly maintained a median block time of 392 milliseconds and a median transaction fee of $0.0004.

Institutional Investors Quietly Pile Into Solana ETFs

While SOL’s 755% TVL spike indicates that users are finally getting back into the network, institutional investors appear to be making similar moves, as new reports reveal a surge in Solana Spot ETFs.

According to LookOnChain data, Solana ETFs recorded 447,694 SOL in seven-day inflows, equivalent to approximately $40 million. The ETF surge comes as institutional demand surges despite broader bearish pressures on the SOL price.

Among the four Solana funds currently available for trading, Bitwise’s (BSOL) has attracted the largest net inflow by a wide margin. Daily flows into BSOL recently reached 205,287 SOL, bringing its seven-day total to 409,402 SOL. Fidelity (FSOL) ranked second in weekly inflows, recording 15,627 SOL over the past seven days, despite its daily inflow reaching just 4 SOL. By comparison, Grayscale’s (GSOL) daily inflow reached 361 SOL, and its seven-day total was 12,530 SOL.

SOL trading at $84 on the 1D chart | Source: SOLUSDT on Tradingview.com

Trending Cryptos

Related Questions

QWhat is the percentage surge in Solana's Total Payment Volume (TPV) according to Messari's report?

ASolana's Total Payment Volume (TPV) recorded a 755.3% year-over-year growth rate.

QHow does Messari explain Solana network's advantage over traditional financial systems?

AMessari states that Solana addresses the issues of traditional systems by unifying 'messaging and settlement into a single atomic operation,' settling transactions in milliseconds and avoiding intermediaries and delays.

QWhat does the 755% surge in TPV indicate about user activity on the Solana network?

AThe 755% surge in TPV indicates a clear return of users to the ecosystem, showing that real on-chain activity is happening and that both developers and end users are actively engaging with SOL's payment infrastructure.

QWhich Solana ETF attracted the largest net inflow according to LookOnChain data?

ABitwise’s Solana ETF (BSOL) attracted the largest net inflow by a wide margin, with a seven-day total of 409,402 SOL.

QWhat are Solana's reported median block time and median transaction fee?

ASolana has reportedly maintained a median block time of 392 milliseconds and a median transaction fee of $0.0004.

Related Reads

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.

marsbit59m ago

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

marsbit59m ago

OpenAI No Longer Sells Its Most Expensive Model for Profit

OpenAI is shifting its business strategy away from promoting its most expensive, flagship models for every task. Recent price cuts—80% for GPT-5.6 Luna and 20% for Terra—signal a deeper change: the company now actively advises users that many tasks don't require the most powerful model. Instead, OpenAI recommends a tiered approach: use the high-end GPT-5.6 Sol for complex planning and analysis, then delegate execution to cheaper models like Luna. This mirrors moves by Anthropic, which recently launched Claude Opus 5 at half the price of its top model, Fable 5. Both companies are de-emphasizing flagship models as primary revenue drivers, using them instead for brand prestige and technological showcases. The industry is entering a "mass-market" phase, similar to automotive, where high-volume, cost-effective models handle daily operations and drive scale. OpenAI's price reductions are partly enabled by AI models themselves optimizing underlying code and infrastructure, creating a self-reinforcing cycle of efficiency gains and cost reduction. Competition is shifting from "who is smartest" to "who offers the best value." The goal is no longer selling individual models but fostering widespread API adoption and ecosystem lock-in. By making AI calls cheap and ubiquitous, companies like OpenAI aim to become the indispensable, utility-like infrastructure powering automated workflows—the "water and electricity" of software, quietly embedded everywhere.

marsbit59m ago

OpenAI No Longer Sells Its Most Expensive Model for Profit

marsbit59m ago

Trading

Spot

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