【Digi-pla】 "Inbound Foreigner Flow Analysis" Dashboard Released, Revealing "Where from and Where to" for International Visitors!
The Japan National Tourism Organization (JNTO) launched on April 1, 2026, a new "Inbound Foreigner Flow Analysis" dashboard within its tourism DMP "Digi-pla." This new feature allows for multi-faceted analysis and visualization of international visitor flow data, enabling local governments and DMOs to accurately grasp inbound trends and formulate effective, data-driven tourism policies.
📋 Article Processing Timeline
- 📰 Published: April 8, 2026 at 20:00
- 🔍 Collected: April 8, 2026 at 11:30
- 🤖 AI Analyzed: April 20, 2026 at 18:01 (294h 30m after Collected)
The Japan National Tourism Organization (JNTO) (located in Minato-ku, Tokyo; Chairman Masanobu Komoda, also Representative Director and Chairman of Mitsui Fudosan Co., Ltd.) announced the launch of a new feature, the "Inbound Foreigner Flow Analysis" dashboard, on April 1, 2026. This dashboard, which allows for multi-faceted analysis and visualization of inbound foreign visitor flow data, is offered within the tourism DMP "Japan National Tourism Organization Digital Platform" (commonly known as "Digi-pla"), which JNTO operates.
The development of this feature was supported by OpenTone Inc. (headquartered in Chiyoda-ku, Tokyo; President Daisuke Sato), which specializes in tourism big data analysis. This collaboration resulted in a tool that allows on-site staff to intuitively interpret data and utilize it for policy implementation.
■ Background: Sophistication of "Data Utilization" demanded by the rapid increase in inbound tourism
In 2025, the number of international visitors to Japan reached a record high of 42.68 million. Local governments and Destination Management Organizations (DMOs) are increasingly required to utilize data at a more advanced level from the perspective of evidence-based policy making (EBPM).
However, there was a significant challenge in accurately grasping the movement routes and actual flow conditions of inbound visitors by nationality. To solve these challenges and support the formulation of more effective tourism policies, our association has begun offering this dashboard.
■ What is the "Inbound Foreigner Flow Analysis" Dashboard?
The "Inbound Foreigner Flow Analysis" dashboard is a feature that visualizes statistical data regarding the movement and flow of inbound foreign visitors through six analysis views, provided within the "Digi-pla" basic functions.
By combining data categorized into 8 segments by nationality/region, such as Korea, China, Taiwan, ASEAN, and Europe, with data categorized by transportation method, such as airports, ports, railways, and buses, it is possible to grasp inbound trends for each region from multiple perspectives. The dashboard incorporates the following two public statistics:
- FF-Data (Foreigner Flow Data)
: Regional flow data of inbound foreign visitors published by the Ministry of Land, Infrastructure, Transport and Tourism
(Reference: https://www.mlit.go.jp/sogoseisaku/soukou/sogoseisaku_soukou_fr_000022.html)
- Immigration Control Statistics
: Statistics on the number of entries and departures published by the Immigration Services Agency of Japan, Ministry of Justice
(Reference: https://www.moj.go.jp/isa/policies/statistics/toukei_ichiran_nyukan.html)
FF-Data includes annual data for 2022 and 2023, while Immigration Control Statistics includes data for 2024 and 2025, with data from 2019 also included for comparison with pre-COVID-19 figures.
■ Main Features
【Feature ① Inbound Foreigner Flow Analysis with FF-Data and Immigration Control Statistics
The development of this feature was supported by OpenTone Inc. (headquartered in Chiyoda-ku, Tokyo; President Daisuke Sato), which specializes in tourism big data analysis. This collaboration resulted in a tool that allows on-site staff to intuitively interpret data and utilize it for policy implementation.
■ Background: Sophistication of "Data Utilization" demanded by the rapid increase in inbound tourism
In 2025, the number of international visitors to Japan reached a record high of 42.68 million. Local governments and Destination Management Organizations (DMOs) are increasingly required to utilize data at a more advanced level from the perspective of evidence-based policy making (EBPM).
However, there was a significant challenge in accurately grasping the movement routes and actual flow conditions of inbound visitors by nationality. To solve these challenges and support the formulation of more effective tourism policies, our association has begun offering this dashboard.
■ What is the "Inbound Foreigner Flow Analysis" Dashboard?
The "Inbound Foreigner Flow Analysis" dashboard is a feature that visualizes statistical data regarding the movement and flow of inbound foreign visitors through six analysis views, provided within the "Digi-pla" basic functions.
By combining data categorized into 8 segments by nationality/region, such as Korea, China, Taiwan, ASEAN, and Europe, with data categorized by transportation method, such as airports, ports, railways, and buses, it is possible to grasp inbound trends for each region from multiple perspectives. The dashboard incorporates the following two public statistics:
- FF-Data (Foreigner Flow Data)
: Regional flow data of inbound foreign visitors published by the Ministry of Land, Infrastructure, Transport and Tourism
(Reference: https://www.mlit.go.jp/sogoseisaku/soukou/sogoseisaku_soukou_fr_000022.html)
- Immigration Control Statistics
: Statistics on the number of entries and departures published by the Immigration Services Agency of Japan, Ministry of Justice
(Reference: https://www.moj.go.jp/isa/policies/statistics/toukei_ichiran_nyukan.html)
FF-Data includes annual data for 2022 and 2023, while Immigration Control Statistics includes data for 2024 and 2025, with data from 2019 also included for comparison with pre-COVID-19 figures.
■ Main Features
【Feature ① Inbound Foreigner Flow Analysis with FF-Data and Immigration Control Statistics