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Original Research
Received: 10 Dec 2024, Accepted: 10 Feb 2025,
 


Advanced Statistical Modeling for Forecasting Non-Oil GDP in Saudi Arabia Using Time-Series Techniques

Bader S Alanazi.


Abstract
This paper presents an analytical assessment of the trends and future forecasts for non-oil GDP in Saudi Arabia. As Saudi Arabia shifts its focus towards diversifying its economy and reducing reliance on oil, understanding the trajectory of non-oil GDP has become increasingly important. Utilizing a comprehensive dataset from 2010 to 2023 sourced from the General Authority for Statistics, we apply advanced time-series forecasting techniques to model and predict the future performance of non-oil GDP. Our findings suggest that the non-oil sector will continue to experience growth, driven by ongoing diversification efforts and strategic investments across various non-oil sectors. The results provide valuable insights for policymakers, highlighting the critical role of non-oil industries in shaping Saudi Arabia’s economic future. This study contributes to the understanding of the economic transition in the Kingdom and offers a foundation for future research and policy decisions aimed at fostering sustainable economic growth and achieving the goals of Vision 2030.

Key words: Keywords: Time-Series Analysis, Statistical Modeling, Economic Forecasting, Non-Oil GDP, Regression Analysis, Forecasting Techniques, Model Validation.


 
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Pubmed Style

Bader s alanazi. Advanced Statistical Modeling for Forecasting Non-Oil GDP in Saudi Arabia Using Time-Series Techniques. Journal of Engineering and Applied Sciences. 2025; 12(1): 56-66. doi:10.5455/jeas.2025010607

Web Style

Bader s alanazi. Advanced Statistical Modeling for Forecasting Non-Oil GDP in Saudi Arabia Using Time-Series Techniques. https://jecasmu.org/?mno=232304 [Access: June 01, 2025]. doi:10.5455/jeas.2025010607

AMA (American Medical Association) Style

Bader s alanazi. Advanced Statistical Modeling for Forecasting Non-Oil GDP in Saudi Arabia Using Time-Series Techniques. Journal of Engineering and Applied Sciences. 2025; 12(1): 56-66. doi:10.5455/jeas.2025010607


Vancouver/ICMJE Style

Bader s alanazi. Advanced Statistical Modeling for Forecasting Non-Oil GDP in Saudi Arabia Using Time-Series Techniques. Journal of Engineering and Applied Sciences. (2025), [cited June 01, 2025]; 12(1): 56-66. doi:10.5455/jeas.2025010607


Harvard Style

Bader s alanazi (2025) Advanced Statistical Modeling for Forecasting Non-Oil GDP in Saudi Arabia Using Time-Series Techniques. Journal of Engineering and Applied Sciences, 12 (1), 56-66. doi:10.5455/jeas.2025010607


Turabian Style

Bader s alanazi. 2025. Advanced Statistical Modeling for Forecasting Non-Oil GDP in Saudi Arabia Using Time-Series Techniques. Journal of Engineering and Applied Sciences, 12 (1), 56-66. doi:10.5455/jeas.2025010607


Chicago Style

Bader s alanazi. "Advanced Statistical Modeling for Forecasting Non-Oil GDP in Saudi Arabia Using Time-Series Techniques." Journal of Engineering and Applied Sciences 12 (2025), 56-66. doi:10.5455/jeas.2025010607


MLA (The Modern Language Association) Style

Bader s alanazi. "Advanced Statistical Modeling for Forecasting Non-Oil GDP in Saudi Arabia Using Time-Series Techniques." Journal of Engineering and Applied Sciences 12.1 (2025), 56-66. Print. doi:10.5455/jeas.2025010607


APA (American Psychological Association) Style

Bader s alanazi (2025) Advanced Statistical Modeling for Forecasting Non-Oil GDP in Saudi Arabia Using Time-Series Techniques. Journal of Engineering and Applied Sciences, 12 (1), 56-66. doi:10.5455/jeas.2025010607


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