Our commercial research team provides bespoke consultancy solutions to clients across all sectors, reaching from Vietnam to Asia Pacific markets.

Bespoke analysis, commentary and forecasting from a team of independent commercial property experts.

Troy Griffiths (Deputy Managing Director, Savills Vietnam)

It’s important for us to not just think about real estate issues, but also about the factors that affect demand for and supply of commercial property. This way of thinking is at the forefront of everything we do.

Whether working for an institution, developer or private investor, we always tailor our services to fit individual requirements. Our independent analysis and commentary combined with regional commercial property knowledge is what gives us our strong reputation for producing accurate and informed insights into the latest trends and market forecasting. We know all commercial markets inside-out, with all of our directors holding more than 10 years’ experience in their respective disciplines, covering business space, retail, industrial and logistics, hotels and leisure. Having such wide coverage, our specialism is our ability to advise on multiple types of commercial real estate at the same time, placing us in the unique position of being able to help clients on complicated mixed use development projects and investor’s asset-allocation strategies.


Related Services

Property Management

Pre-management Consultancy

Working with the project team at early stages during the property development process, we will help the developer review the technical design of building traffic circulation, parking, M&E systems, all public areas and functional rooms to identify as well as to prevent any design faults of the development without wasting extra construction time, manpower and other resources.

Research

Research Consultancy

With a multitude of uncertain macro variables in Vietnam, accurate property market research is crucial in minimising downside risks. Savills can provide refined research to ensure all unknown variables are quantified so that projects have the maximum opportunity for success.