Impact of Artificial Intelligence in the Omani Industrial Sector: Current Adoption, Emerging Trends and Future Prospects

Dr. Mohammed Jahangir Ali
Additional contact information
Dr. Mohammed Jahangir Ali: Associate Professor, Accounting and Finance – Department of Business Administration and Accounting, Al Buraimi University College, Al Buraimi – Sultanate of Oman

International Journal of Research and Innovation in Social Science, 2025, vol. 9, issue 15, 520-533

Abstract: The integration of Artificial Intelligence (AI) in the industrial sector has significantly transformed operations, enhancing efficiency, productivity, and competitiveness. This study examines the role of AI in Oman’s industrial sector, exploring its applications, benefits, and challenges. AI technologies such as machine learning, predictive maintenance, automation, and data analytics are increasingly adopted by Omani industries to optimize production processes, reduce costs, and improve decision-making. The study also compares AI readiness between Oman and selected GCC nations, incorporates perspectives from SMEs, and forecasts the trajectory of AI developments in the country. The research aims to present a comprehensive understanding of how AI can serve as a transformative force in Oman’s industrial growth and economic diversification. The research employs a qualitative and quantitative approach, utilizing case studies and statistical analysis to assess the impact of AI on key industrial sectors, including manufacturing, oil and gas, logistics, and smart infrastructure. Findings indicate that AI adoption in Oman has led to enhanced operational efficiency, reduced downtime, and improved resource allocation. However, challenges such as high implementation costs, skills shortages, and regulatory concerns hinder widespread AI deployment. The study highlights policy recommendations, including government support, investment in AI education, and strategic partnerships, to accelerate AI integration in the industrial sector. This research contributes to understanding how AI can drive Oman’s industrial growth and align with the country’s Vision 2040 strategy for economic diversification and digital transformation. Purpose: The purpose of this study is to examine the impact of Artificial Intelligence (AI) on the industrial sector in Oman, focusing on its role in enhancing efficiency, productivity, and innovation. Research Methodology: The research methodology of this research is explained in this research paper details. The techniques and process of the research design, data collection methods, and analytical techniques used in the study. Result: Artificial Intelligence (AI) is transforming Oman’s industrial sector by enhancing efficiency, competitiveness, and sustainability. The Ministry of Commerce, Industry, and Investment Promotion (MoCIIP), initiatives like ‘Factory Automation and AI’ align with Oman Vision 2040.

Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.rsisinternational.org/journals/ijriss/ ... issue-15/520-533.pdf (application/pdf)
https://rsisinternational.org/journals/ijriss/arti ... nd-future-prospects/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bcp:journl:v:9:y:2025:i:15:p:520-533

Access Statistics for this article

International Journal of Research and Innovation in Social Science is currently edited by Dr. Nidhi Malhan

More articles in International Journal of Research and Innovation in Social Science from International Journal of Research and Innovation in Social Science (IJRISS)
Bibliographic data for series maintained by Dr. Pawan Verma ().