Utilizing Social Media Analytics to Detect Trends in Saudi Arabia’s Evolving Market

Saudi Arabia' faced a swift economic growth and societal transformation under Vision 2030. This offers a unique opportunity to track emerging trends in the region, which will ultimately pave the way for new business and investment possibilities. This paper explores how AI and social media analytics can identify and track trends across sectors such as construction, food and beverage, tourism, technology, and entertainment thereby helping the businesses make informed decisions. By leveraging a tailored AI-driven methodology, we analyzed millions of social media posts each month, classifying discussions and calculating scores to track the trends. The approach not only uncovered the emerging trends but also shows diminishing trends. Our methodology is able to predict the emergence and growth of trends by utilizing social media data. This approach has potential for adaptation in other regions. Ultimately, our findings highlight how ongoing, AI-powered trend analysis can enable more effective, data-informed business and development strategies in an increasingly dynamic environment.

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Publication Details

Journal
International Journal of Scientific Research and Management (IJSRM)
Published
2025-02-01
DOI
https://doi.org/10.18535/ijsrm/v13i02.ec01
Citations
1
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
2.28
Controls
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article

Utilizing Social Media Analytics to Detect Trends in Saudi Arabia’s Evolving Market

Kanwal Aalijah
1 citations
International Journal of Scientific Research and Management (IJSRM)
Big Data and Business Intelligence
2.28
article

Utilizing Social Media Analytics to Detect Trends in Saudi Arabia’s Evolving Market

Kanwal Aalijah
article en
1 citations

Abstract

Saudi Arabia' faced a swift economic growth and societal transformation under Vision 2030. This offers a unique opportunity to track emerging trends in the region, which will ultimately pave the way for new business and investment possibilities. This paper explores how AI and social media analytics can identify and track trends across sectors such as construction, food and beverage, tourism, technology, and entertainment thereby helping the businesses make informed decisions. By leveraging a tailored AI-driven methodology, we analyzed millions of social media posts each month, classifying discussions and calculating scores to track the trends. The approach not only uncovered the emerging trends but also shows diminishing trends. Our methodology is able to predict the emergence and growth of trends by utilizing social media data. This approach has potential for adaptation in other regions. Ultimately, our findings highlight how ongoing, AI-powered trend analysis can enable more effective, data-informed business and development strategies in an increasingly dynamic environment.

International Journal of Scientific Research and Management (IJSRM)Vol. 13(02)
National University of Sciences and Technology (PK)
Openalex Percentile: Top 15%
Big Data and Business Intelligence
2.28
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