Databricks to Invest Over $350 Million in Singapore as Enterprise AI Demand Grows

Image: Marina Bay Sands and the Central Business District skyline in Singapore. Photo by Daniel Chua, licensed under CC BY-SA 3.0, via Wikimedia Commons (resized).

Databricks has said it will invest more than US$350 million in Singapore over the next three years, as the data-and-AI platform company builds out what it calls a regional hub for Asia Pacific and Japan. The announcement, made on 16 September 2026, was detailed in a press release from Databricks.

Databricks sells what it calls a “lakehouse” platform — software that combines the flexible storage of a data lake with the structure of a traditional data warehouse, letting large organisations store, manage and analyse their data and build AI applications on top of it. The company says demand for that platform, and for newer AI-specific tools built on it, is driving the expansion.

Bigger Office, More Staff

Databricks said it plans to quadruple its Singapore office space with a new 32,000 square foot headquarters at IOI Central Boulevard Towers, and to more than double its local headcount from around 250 to over 500 people. Those figures are company targets for the investment period rather than changes that have already taken place.

“Singapore has the ambition, talent, and trusted business environment to become a leading global hub for enterprise AI,” said Simon Davies, senior vice president and general manager for Databricks Asia Pacific and Japan, in the announcement.

A Partnership With Singapore’s AI Strategy

Alongside the investment, Databricks said it is partnering with Singapore’s Economic Development Board (EDB) and the Infocomm Media Development Authority (IMDA) to support the country’s National AI Strategy, according to a separate press release issued the same day.

As part of that partnership, Databricks said it aims to train 20,000 more people in data and AI skills in Singapore over the next three years, on top of a further 10,000 people it says are already on track to be trained by 2027 — putting the company’s stated trajectory at around 30,000 people trained in total by that point. The plan includes integrating Databricks material into university curricula at the Singapore Management University, Nanyang Technological University and the National University of Singapore, plus a cross-university hackathon. These are targets for the programme rather than people already trained.

The company also said it intends to launch a Singapore Startup AI Accelerator in November 2026, starting with around ten startups and aiming to scale to more than 100 over three years, with participating companies offered up to US$200,000 each in Databricks platform credits. Separately, Databricks said it plans to expand its Forward Deployed Engineers and specialist headcount serving enterprise customers in the region to more than 200, focused on financial services, healthcare, manufacturing and connectivity sectors.

Why It Matters

The investment is a bet that Southeast Asian enterprises are moving from experimenting with AI to deploying it at scale, and that Singapore’s regulatory environment and talent pool make it a natural base from which to serve that demand across the wider region. Whether the specific headcount, training and startup targets are met over the coming three years will only become clear over time — for now, they represent Databricks’ stated plans rather than results already achieved.