Quantity Surveying, a discipline dedicated to the measurement and management of construction costs and the financial aspects of construction projects, is on the brink of a revolution through the integration of advanced data analytics. The incorporation of state-of-the-art techniques such as machine learning (ML) and artificial intelligence (AI) holds immense potential to transform traditional methods employed in quantity surveying.

By harnessing advanced data analytics, quantity surveyors can extract valuable insights from extensive volumes of construction-related data. Machine learning algorithms possess the capability to process and analyse this data, enabling the identification of patterns, trends, and correlations that may not be immediately evident using conventional approaches. These techniques facilitate more precise cost estimation, project forecasting, and risk assessment, leading to improved decision-making throughout the construction lifecycle.

The adoption of AI in quantity surveying brings forth numerous possibilities for enhancing efficiency and streamlining processes.

AI in quantity surveying can drive the following advancements:

  • Automation of time-consuming tasks like quantity takeoff.
  • Utilisation of generative AI-powered bill of quantities models.
  • Reduction of human error and enhancement of productivity.
  • Continuous learning from historical project data to develop predictive models.
  • Improved cost planning, resource allocation, and procurement strategies.

The disruptive potential of advanced data analytics extends beyond operational aspects. It opens up avenues for innovative approaches to project management and client engagement. For instance, virtual reality (VR) and augmented reality (AR) technologies can be employed to create immersive visualisations of construction projects, allowing stakeholders to experience the end result before construction begins. This enhances communication, improves decision-making, and minimises the chances of costly design changes during construction.

The integration of advanced data analytics and AI has the power to transform every facet of the quantity surveying profession. From the initial cost estimation to the final financial analysis, these technologies offer the ability to reimagine and optimise processes, leading to increased efficiency, cost savings, and improved project outcomes. As quantity surveyors embrace these advancements, they position themselves at the forefront of the construction industry's digital transformation, driving innovation and delivering greater value to their clients.

Every aspect of this profession has the potential to be disrupted and, in some cases, entirely reimagined.

Martin Paver & Jake Williams are leading the work on the Visions for 2025. Martin is the Founder and CEO of Projecting Success and former Chair of the Project Data Analytics Task Force. Jake is a Product Manager at Projecting Success.

We would like to express our gratitude to James Garner, Global Head of Data, Insights & Analytics at Gleeds, for his invaluable contribution in shaping this Vision for 2025.

This Vision for how Quantity Surveying can be reimagined has been jointly produced by Projecting Success and Gleeds.

In collaboration with

access Visions for 2025