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[Yanolja Research Brief] Vol.3 South Korea's 2025 Inbound Tourism Demand Forecast

Forecasting South Korea's Inbound Tourism Demand Using an AI-Based LSTM Model

South Korea’s inbound tourism outlook for 2025 is being shaped by cutting-edge AI technology, marking a new era in tourism forecasting.


AI-Powered Forecasting: The Game Changer

  • Yanolja Research developed an advanced AI model based on LSTM (Long Short-Term Memory) deep learning technology, specially designed to analyze time-series data and capture long-term trends in tourism demand.
  • This model integrates diverse data sources including global mobility patterns, economic indicators, and social media trends to deliver highly accurate predictions.
  • The model’s precision is proven by its recent forecast accuracy: it predicted 16.08 million visitors for Nov 2023–Oct 2024, closely matching the actual 15.88 million with only a 1.3% error margin.


What the AI Model Predicts for 2025

  • Approximately 18.73 million foreign tourists are expected to visit South Korea in 2025, a 7% increase over the 2019 pre-pandemic peak.
  • The forecast reflects not just seasonal fluctuations but also deeper, long-term influences like political events and economic shifts in key source countries.
  • While uncertainties such as political unrest and economic slowdowns remain, the model’s dynamic adaptability allows it to update predictions as new data emerges.


Why This Matters for the Tourism Industry

  • This AI-driven approach helps businesses and policymakers anticipate demand more reliably, enabling smarter resource allocation and strategic planning.
  • It also highlights the growing importance of data-driven decision-making in boosting South Korea’s tourism competitiveness on the global stage.


Discover how AI is transforming tourism forecasting and what it means for South Korea’s vibrant travel market. For a detailed breakdown and insights by country, visit the official website and explore the full forecast.

Yanolja Research Brief Vol.3


Check out the video explaining how LSTM reflects time-series changes and how Yanolja Research predicts inbound tourist numbers for the coming year.



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