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Databricks Eyes $130B Valuation as AI Infrastructure Demand Explodes

  • Writer: Covertly AI
    Covertly AI
  • Nov 18
  • 3 min read
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Databricks is once again attracting major attention from investors as the company reportedly enters talks to raise new capital at a valuation exceeding $130 billion (TechCrunch; VARINDIA; TipRanks). If completed, the round would mark a significant leap from its previous $100 billion valuation just a few months earlier and position the company among the most valuable private tech firms globally. The surge in valuation reflects not only Databricks’ rapid financial growth but also the broader momentum behind AI infrastructure as enterprises race to modernize their data systems and deploy large-scale AI applications.


The company’s rise has been anything but gradual. Databricks was valued at $43 billion as recently as 2021, but the explosion of generative AI fundamentally transformed its trajectory (VARINDIA). Enterprises increasingly rely on Databricks to train, govern, and deploy large language models at scale, and this demand has pushed the company’s revenue to an estimated $1.6–$2 billion annually with a growth rate of roughly 50–60%. Another report notes that the company recently reached a $4 billion annual revenue run rate in Q2, with more than $1 billion of that coming from its AI products alone (TipRanks). Databricks also maintains positive cash flow and now serves over 15,000 enterprise customers, including more than 650 spending over $1 million annually and more than 60% of the Fortune 500 (TipRanks).


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Central to this momentum is the company’s Lakehouse architecture, designed to merge the flexibility of data lakes with the performance and structure of data warehouses. This unified system enables scalable storage, multi-cloud deployment, LLM training, and robust data governance, capabilities that have become increasingly essential as businesses adopt AI-driven workflows across industries such as healthcare, manufacturing, and finance (VARINDIA; TipRanks). Databricks’ platform helps organizations seamlessly process massive datasets and turn them into actionable AI insights, putting the company in direct competition with established players like Snowflake and Oracle (TipRanks).


Investors’ enthusiasm is also fueled by Databricks’ strategic acquisitions. In 2023, the company purchased MosaicML, significantly strengthening its model training capabilities and expanding its footprint in the generative AI ecosystem (VARINDIA; TipRanks). Earlier this year, Databricks acquired open-source database startup Neon for $1 billion, a move that helped spark a broader wave of database consolidation (TechCrunch). These acquisitions align with CEO Ali Ghodsi’s long-term vision of building next-generation infrastructure for AI agents. Ghodsi has emphasized the dramatic shift underway in the database world, noting that AI agents, not humans, are now generating the majority of new databases: jumping from 30% of databases created by AI one year ago to 80% this year (TechCrunch). Databricks is channeling substantial resources into developing both a dedicated database for AI agents and a comprehensive AI agent platform.


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Potential investors in the upcoming round reportedly include existing backers such as Andreessen Horowitz and Tiger Global, along with sovereign wealth funds and strategic corporate investors seeking exposure to enterprise AI’s fastest-growing layers (VARINDIA).


With IPO discussions circulating and a possible window opening in late 2025 or early 2026, Databricks appears to be solidifying its position as a foundational company in the AI-first enterprise era.


If the new funding round closes above $130 billion, Databricks would surpass the valuations of several publicly traded software leaders, including Snowflake, underscoring both the company’s dominance and the intense investor belief that AI infrastructure will continue to accelerate global digital transformation (TipRanks). Despite ongoing debates about an “AI bubble,” Databricks' continued growth, strong financial performance, and expanding ecosystem suggest that the company is not just benefiting from industry hype, it is helping define the next generation of enterprise technology.


This article was written by the Covertly.AI team. Covertly.AI is a secure, anonymous AI chat that protects your privacy. Connect to advanced AI models without tracking, logging, or exposure of your data. Whether you’re an individual who values privacy or a business seeking enterprise-grade data protection, Covertly.AI helps you stay secure and anonymous when using AI. With Covertly.AI, you get seamless access to all popular large language models - without compromising your identity or data privacy.


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Works Cited


“Databricks Eyes $130B+ Valuation Amid AI Infrastructure Boom.” VARINDIA, www.varindia.com/news/databricks-eyes-130b-valuation-amid-ai-infrastructure-boom.


“Databricks Reportedly in Talks to Raise Funding at a $130B+ Valuation.” TechCrunch, techcrunch.com/2025/11/18/databricks-reportedly-in-talks-to-raise-funding-at-a-130b-valuation/.


“Snowflake, Oracle Rival Databricks Eyes $130B Valuation in Latest Funding Round.” TipRanks, www.tipranks.com/news/snowflake-oracle-rival-databricks-eyes-130b-valuation-in-latest-funding-round.


Field, Shivaune. “AI Firm Databricks Raises US$16 B in Largest Venture Funding Deal of 2024.” Forbes Australia, 18 Dec. 2024, www.forbes.com.au/news/innovation/ai-startup-databricks-raises-13-billion-in-largest-venture-funding-deal-of-2024/.


“Databricks Crosses USD4B Revenue Run-Rate, Raises USD1B at USD100B Valuation.” Entrepreneur India, Entrepreneur Media, 9 Sept. 2025, www.entrepreneur.com/en-in/news-and-trends/databricks-crosses-usd4b-revenue-run-rate-raises-usd1b-at/496884.


Palazzolo, Stephanie, and Amir Efrati. “Databricks CEO Predicts Major Drop in AI Chip Prices.” The Information, subscription required, theinformation.com/articles/databricks-ceo-predicts-major-drop-in-ai-chip-prices.


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