The Korea Tourism Organization announced on November 2 that it will hold the '3rd Korea Tourism Data Seminar' at the ASEM Ballroom in COEX on the 26th.
The second seminar was held on August 27, focusing on regional tourism revitalization through local airports, accommodations, and K-content.
This seminar will consist of three sessions. The first session will focus on 'K-Medical Tourism.' According to the Ministry of Health and Welfare, the number of foreign patients visiting Korea reached 2,011,822 last year, surpassing 2 million for the first time since statistics began in 2009.
The Korea Tourism Organization will examine the key characteristics and movement and spending behaviors of foreign medical tourists derived from comprehensive tourism big data analysis, and will also present successful marketing cases in medical tourism.
A panel discussion featuring experts in the medical tourism field will follow, addressing growth opportunities, challenges, and public-private collaboration strategies for K-Medical Tourism.
The second session will share successful cases of tourism companies that have utilized the 'Korea Tourism Data Lab.' Additionally, new data sets and expanded service features recently added to the data lab will be showcased.
The final session will focus on '2027 Trends in Korean Tourism.' It will analyze changing domestic travel demand and consumer behavior based on tourism data analysis, presenting key trends that the tourism industry and local governments should pay attention to.
Anyone interested in tourism and data is welcome to participate. Registration for the seminar will be accepted until the 12th. Details and registration can be found on the Korea Tourism Data Lab website.
Kim Young-mi, head of the Tourism AI Innovation Division, stated, 'To enhance the competitiveness of the tourism industry, it is crucial to accurately understand market changes through data and connect them to tangible results on the ground. We hope this seminar will be an opportunity to explore new growth opportunities for K-Medical Tourism and share insights on utilizing tourism big data and the future tourism market.'
* This article has been translated by AI.
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