Dune Analytics lays off 25%, pivots to AI and institutional markets

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Dune Analytics has announced a 25% workforce reduction, shifting its strategic focus toward AI data tools and the institutional client market. This is not merely an internal restructuring of a crypto data platform, but a reflection of the structural transformation currently underway across the entire crypto infrastructure industry. (Context: Nansen laid off 30% of its staff amid criticism of being "too expensive with limited features," leading many clients to switch to Dune Analytics | Dune Analytics founder shares "3 reasons for not launching a token") (Background: Deep Dive: How did the blockchain analysis tool Dune rise so rapidly? | Dune integrates ChatGPT-4! Can AI make everyone a data analyst?) Dune Analytics stated that this restructuring will concentrate resources on two core growth engines: AI data tools and institutional client adoption. The company's core product, Dune MCP, allows teams and AI agents to call on-chain data directly to build dashboards and workflows with little to no SQL knowledge required. This reflects a structural shift in the crypto data market. Previously, Dune’s core value proposition was that "data scientists need to write SQL," serving DeFi researchers, token holders, and Web3 practitioners. Now, the product roadmap has clearly pivoted toward "enabling AI agents and institutional clients to consume on-chain data using natural language," shifting the target audience from "crypto-natives" to "financial institutions + AI users." The Wave of Downsizing in Crypto Data Platforms Dune is not the first crypto data platform to conduct layoffs. Nansen laid off 30% of its staff in 2025, facing criticism for being "too expensive with too few features," which led a large number of clients to migrate to Dune. Competitors such as Glassnode, CryptoCompare, and DeFiLlama have also undergone organizational restructuring. There are three drivers behind this trend: AI-driven LLM analysis tools are reducing the reliance of data teams on SQL and BI tools; institutional clients have a higher willingness to pay, and compared to subscription fatigue in the retail market, institutional clients are willing to pay a premium for high-quality data pipelines; and the standardization of on-chain data makes it possible for a "single data layer" to replace "multi-layer SaaS." From Cryptocurrency to Traditional Finance Data Demands Dune stated that it is expanding to large financial institutional clients to address the trend of currencies, stocks, bonds, and commodities migrating on-chain. Bitcoin and Ethereum ETFs have allowed on-chain assets to penetrate retirement accounts, mutual funds, and portfolio funds. With BlackRock’s FBTC and Fidelity’s spot ETFs managing over $10 billion in assets, these institutions require standardized on-chain data pipelines rather than the dashboards favored by retail users. Taiwan's crypto data infrastructure is relatively mature. Chainalysis has established a regional office in Taiwan, and several blockchain startups have set up regional headquarters in Taipei, which has also brought demand for on-chain data tools. The blockchain industry development plans and the trend of digital asset securitization promoted by the Taiwan government also require mature data infrastructure to support regulatory transparency and investment decision-making. The 25% layoff at Dune Analytics is a microcosm of the transition of crypto data infrastructure from "crypto-native tools" to "AI + institutional dual-track platforms." In 2026, as the boundaries between traditional finance and the on-chain world become increasingly blurred, mastering data pipelines means mastering pricing power. 📍Related Reports📍

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Published:2026-05-15 02:39:38

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