CBPM Conference 2026 · Vol. 2026, Issue 1

Assessing the Integration and Utilisation of Robotics in the South Africa Construction Industry

Ayodeji Olatunji Aiyetan, Nathaniel Ayinde Olatunde, Mthiyane Siphamandla and Nzimande Mbuson

Keywords: Automation in Construction, Construction Robotics, Robotics Adoption, South African Construction Industry

Abstract

This study assesses the integration and utilisation of robotics in the South African construction industry by examining the major operational, technological, and cost-related barriers affecting adoption, as well as strategies for improving effective implementation. A qualitative research approach was adopted using a systematic literature review (SLR). Fifty-five peer-reviewed journal articles, industry reports, and policy documents were analysed using thematic analysis to identify recurring patterns relating to robotics adoption, cost implications, and implementation strategies within the South African construction context. The findings reveal that robotics mutilisation in South African construction remains limited and largely pilot driven. Economic and financial barriers emerged as the most significant challenge, cited in 54.5% of reviewed studies, followed by skills and organisational readiness constraints (49.1%) and technological and infrastructural limitations (41.8%). Cost-related impacts were dominated by upfront capital investment (50.9%) and maintenance and lifecycle costs (47.3%). The study further identified key adoption strategies, including financial incentives, skills development initiatives, technological infrastructure readiness, and regulatory reforms to support Construction 4.0 implementation. The study provides actionable insights for policymakers, contractors, and professional bodies by highlighting the need for funding support, workforce upskilling, infrastructure improvement, and supportive regulatory frameworks. The study contributes context-specific evidence on robotics adoption in South Africa, addressing a gap in African construction research by integrating operational, technological, and financial perspectives. The study relies on secondary data and lacks empirical validation from live construction projects. Future research should incorporate quantitative surveys and case studies to evaluate the performance and return on investment of robotics in construction projects.