Databricks has closed a $5 billion funding round that lifts its valuation to $190 billion, cementing its position as one of the world’s most valuable privately held artificial intelligence companies amid surging demand for so-called agentic AI tools.
The data and AI infrastructure firm, founded in 2013, has ridden a wave of enterprise interest in systems that can autonomously carry out complex tasks with minimal human oversight. The latest round marks a sharp jump from the company’s valuation of roughly $62 billion in late 2024, underscoring how rapidly investor appetite for AI infrastructure has grown.
Databricks provides a unified platform that allows businesses to store, process and analyse large volumes of data while building and deploying AI models. Its tools have become central to how many large corporations manage the data pipelines that underpin machine-learning applications.
The company said the fresh capital would be directed toward accelerating development of its agentic AI offerings and expanding its global footprint. Demand for these capabilities has intensified as enterprises look to move beyond experimental chatbots toward AI systems embedded in day-to-day operations.
The raise places Databricks among a small group of AI firms commanding extraordinary private-market valuations. It follows a series of large funding rounds across the sector, including Anthropic’s pursuit of financing at a valuation near $170 billion, as capital continues to flow toward companies building the foundations of enterprise AI.
Databricks has positioned itself as a rival to established cloud and analytics providers, competing for enterprise budgets against larger technology incumbents. Its growth has been driven in part by partnerships that integrate its platform with major cloud services and open-source AI models.
The valuation surge reflects broader momentum in the AI market, where infrastructure providers have attracted outsized investment on expectations that businesses will spend heavily to adopt automation and data-driven decision-making over the coming years.
This development comes as investors weigh both the potential and the risks of the AI spending cycle, with some analysts cautioning that valuations across the sector have climbed faster than revenue in certain cases.
Databricks has not disclosed a timeline for a potential public listing, though the scale of its latest round is likely to renew speculation about an eventual initial public offering. For now, the company appears focused on consolidating its lead in enterprise AI infrastructure as competition among the sector’s biggest players intensifies.