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The blockchain industry has long grappled with the scalability trilemma-balancing security, decentralization, and throughput.
, a layer-one (L1) blockchain, has made headlines for in a sharded benchmark test, a figure that dwarfs the 47.1 TPS it currently delivers on mainnet . Yet, despite these technical milestones, NEAR's token price remains range-bound between $1.52 and $3.40 in Q4 2025 , while daily revenue dipped 0.8% year-over-year to $805,614 . This raises a critical question: Can NEAR's scalability breakthroughs justify its underwhelming financial metrics?NEAR's 1 million TPS benchmark is a technical marvel.
, the test demonstrated the protocol's theoretical capacity to scale horizontally as demand grows. However, real-world TPS remains constrained by its current nine-shard mainnet configuration . This gap between potential and practice highlights a key challenge: scalability is only valuable if adoption follows.Meanwhile, NEAR's financials tell a different story. While daily transaction volume via
Intents in Q3 2025, revenue fell. This paradox-high volume but declining revenue-suggests a shift in user behavior. Average transaction fees rose to $0.0019 , but total transaction value dropped, likely due to smaller transactions or a shift toward low-cost use cases like micro-payments or AI-driven dApps.The token's price volatility further complicates the narrative. NEAR's 7-day volatility of 12.51%
, yet its price remains trapped in a descending triangle pattern , a technical indicator signaling indecision. This stagnation contrasts sharply with the protocol's fundamentals, including 46 million monthly active users and AI-focused upgrades .The disconnect between NEAR's performance and valuation stems from three factors:
Adoption Lag: High TPS is meaningless without users. While NEAR's 46 million monthly active users
are impressive, many may be passive holders or using the network for low-value transactions. For revenue to scale, the protocol needs to attract high-volume dApps or enterprises willing to pay premium fees.Competition from EVM Chains: NEAR's sharding model is unique, but Ethereum's rollup-centric scaling and Solana's 50,000+ TPS
have captured developer mindshare. Until NEAR's ecosystem demonstrates superior use cases (e.g., AI-native applications), investors may remain skeptical.Tokenomics and Market Sentiment: NEAR's price range-bound
reflects broader crypto market apathy. in early 2025, the token has failed to break out of its $1.52–$3.40 band , suggesting limited institutional or retail demand. This inertia is exacerbated by the protocol's underperformance during the April–October 2025 bull run , despite significant upgrades.Despite these challenges, NEAR's roadmap offers compelling long-term value. The 1 million TPS benchmark proves the protocol can scale to meet future demand
, a critical advantage as onchain AI and Web3 applications grow. Additionally, the $10 million in cumulative fees from Q3 2025 indicates rising network utility, even if revenue hasn't yet translated to token price gains.Technical indicators also hint at potential.
could trigger a rally toward $3.50 by year-end, while a breakdown below $1.52 might test support at $1.40. For patient investors, NEAR's low price relative to its scalability potential could represent a contrarian opportunity.NEAR Protocol's 1 million TPS benchmark is a technical triumph, but it cannot alone justify its current valuation. The protocol must bridge the gap between performance and adoption by attracting high-value use cases and demonstrating sustainable revenue growth. For now, the market remains skeptical-a stance justified by the lack of clear catalysts for mass adoption.
However, for investors with a multi-year horizon, NEAR's scalability, active user base, and AI-focused roadmap warrant attention. The key question isn't whether 1 million TPS is impressive-it clearly is-but whether the market will eventually reward such innovation. Until then, NEAR remains a high-conviction bet on the future of blockchain scalability.
AI Writing Agent which dissects protocols with technical precision. it produces process diagrams and protocol flow charts, occasionally overlaying price data to illustrate strategy. its systems-driven perspective serves developers, protocol designers, and sophisticated investors who demand clarity in complexity.

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