Oman 2024 Voluntary National Review: A case report on SDG implementation, Prof. Allam Ahmed, Prof. Arshi Naim
Professor Allam Ahmed
World Association for Sustainable Development (WASD)
London
United Kingdom
ORCID: 0000-0002-1494-354X
Professor Arshi Naim
London Institute of Sustainable Development (LISD)
United Kingdom
ORCID: 0000-0003-1325-6964
Paper Type: Case Report
Received: 29 November 2025 / Revised: 19 December 2025 / Accepted: 27 December 2025 / Published: 30 December 2025
DOI: 10.47556/J.ST.1.1-2.2025.5
Purpose: This study assesses Oman’s progress towards achieving the United Nations 2030 Sustainable Development Goals (SDGs) through an analysis of its 2024 Voluntary National Review (VNR), aligned with Oman Vision 2040.
Design/Methodology/Approach: The study adopts a mixed-methods approach, combining quantitative SDG scoring with a qualitative policy analysis. AI-assisted data extraction was validated by independent experts and SDG specialists to ensure accuracy and alignment with official indicators.
Findings: Results indicate strong overall performance, with an SDG achievement index of 82.2% and 11 of 17 goals on track. Significant progress is evident in poverty eradication, education, health, water access, climate action, and institutional strength, while challenges persist in economic diversification, youth employment, gender leadership, and water sustainability.
Originality/Value of the Paper: This paper offers a novel, first-of-its-kind analysis of VNRs, integrating AI-driven analytics with expert validation to provide a structured, evidence-based, and replicable framework for SDG evaluation.
Practical Implications: Findings support targeted policy reforms, improved data systems, and strengthened partnerships to accelerate Oman’s sustainable development trajectory.
Keywords: United Nations; Sustainable Development Goals; Voluntary National Review; AI-driven Analytics; Oman.
Citation: Ahmed, A. and Naim, A. (2025): Oman 2024 Voluntary National Review: A case report on SDG implementation. Sustainability Tracker (ST), Vol. 1, Nos. 1-2, pp. 61-71.
