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.
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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