The World Tourism Service Market: Characteristics, Current Status, and Future Trends

Zining Wang

doi:10.65231/ijmr.v1i1.33

Research Article

Vol. 1 No. 1 (2025): International Journal of Multidisciplinary Research

The World Tourism Service Market: Characteristics, Current Status, and Future Trends

Zining Wang

PDF

DOI: https://doi.org/10.65231/ijmr.v1i1.33
Submitted: October 30, 2025
Published: 2025-10-30

Abstract

This paper explores the general characteristics of tourism services, including comprehensiveness, directness, emotionality, timeliness, adaptability, and artistry. It then analyzes the current status of the world tourism service market: the COVID-19 pandemic caused a sharp decline in tourism, but countries responded with policies (e.g., fiscal support, industry resumption plans) and industry self-rescue efforts. Finally, it points out the development trends: suppressed tourism demand will recover, the industry will undergo restructuring, and a sustainable global tourism system involving public-private cooperation will take shape, with international organizations playing a key role.

References

Wang, X. P. (2003). Competitiveness of the Service Industry. Economic Management Publishing House.
Wang, Y. (2002). Service Trade: Liberalization and Competitiveness. China Renmin University Press.
Porter, M. E. (2002). The Competitive Advantage of Nations. Huaxia Publishing House.
Littlejohn, D., & Watson, S. (2004). Developing graduate managers for hospitality and tourism. International Journal of Contemporary Hospitality Management, (7).
Huybers, T., & Bennett, J. (2003). Inter-firm cooperation at nature-based tourism destinations. Journal of Socio-Economics, (5).
Windrum, P., & Tomlinson, M. (1999). Knowledge-intensive services and international competitiveness: A four country comparison. Technology Analysis & Strategic Management, (3).
Hardwick, P., & Dou, W. (1998). The competitiveness of EU insurance industries. The Service Industries Journal, (1).
Hoekman, B., & Primo Braga, C. A. (1997). Protection and trade in services: A survey. Open Economies Review, (3).
Zeng, R., Wang, X., Wang, Z., & Gu, Y. (2025). Logic and Path of China's Regional Economic Disparities: From Institutional Change, Factor Flow and Technological Innovation. Journal of Global Trends in Social Science, 2(8), 32-39.https://doi.org/10.70731/s98wcs90
Lin, H., & Gu, Y. (2025). Research on the Path to Enhance Supply Chain Resilience of SMEs in the Context of Digital Economy. Journal of Global Trends in Social Science, 2(9), 16-21.https://doi.org/10.70731/xmx66997
Gu, Y., Feng, G., & Li, Y. (2025). Research on the Impact Mechanism of Environmental Economics on Study Tour Education: Transnational Cases and Student Capacity Building. Journal of Global Trends in Social Science, 2(8), 46-52.https://doi.org/10.70731/hyc94503
Gu, Y., Pan, D., Yang, N., & Wang, X. (2025). Research on Storage and Transportation Cost Control and Technological Breakthroughs from the Perspective of Global Hydrogen Energy Development. Journal of Sustainable Built Environment, 2(5), 33-38.https://doi.org/10.70731/9ygthr89
Li, B. (2025, August). High-precision photovoltaic potential prediction using a multi-factor deep residual network. In 2025 6th International Conference on Clean Energy and Electric Power Engineering (ICCEPE) (pp. 300-303). IEEE.
Li, B. (2025). GIS-Integrated Semi-Supervised U-Net for Automated Spatiotemporal Detection and Visualization of Land Encroachment in Protected Areas Using Remote Sensing Imagery.
Zhang, T. (2025). From Black Box to Actionable Insights: An Adaptive Explainable AI Framework for Proactive Tax Risk Mitigation in Small and Medium Enterprises.
Zhang, T. (2025). A Knowledge Graph-Enhanced Multimodal AI Framework for Intelligent Tax Data Integration and Compliance Enhancement. Frontiers in Business and Finance, 2(02), 247-261.
Qi, R. (2025). Interpretable Slow-Moving Inventory Forecasting: A Hybrid Neural Network Approach with Interactive Visualization.
Wang, Y. (2025). AI-AugETM: An AI-augmented exposure–toxicity joint modeling framework for personalized dose optimization in early-phase clinical trials. Preprints. https://doi. org/10.20944/preprints202507, 637, v1.

Keywords

World Tourism Service Market; Tourism Service Characteristics; COVID-19 Impact; Public-Private Cooperation;

How to Cite

Wang, Z. (2025). The World Tourism Service Market: Characteristics, Current Status, and Future Trends. International Journal of Multidisciplinary Research, 1(1), 107–110. https://doi.org/10.65231/ijmr.v1i1.33

This work is licensed under a Creative Commons Attribution 4.0 International License.

[1] Wang, X. P. (2003). Competitiveness of the Service Industry. Economic Management Publishing House.

[2] Wang, Y. (2002). Service Trade: Liberalization and Competitiveness. China Renmin University Press.

[3] Porter, M. E. (2002). The Competitive Advantage of Nations. Huaxia Publishing House.

[4] Littlejohn, D., & Watson, S. (2004). Developing graduate managers for hospitality and tourism. International Journal of Contemporary Hospitality Management, (7).

[5] Huybers, T., & Bennett, J. (2003). Inter-firm cooperation at nature-based tourism destinations. Journal of Socio-Economics, (5).

[6] Windrum, P., & Tomlinson, M. (1999). Knowledge-intensive services and international competitiveness: A four country comparison. Technology Analysis & Strategic Management, (3).

[7] Hardwick, P., & Dou, W. (1998). The competitiveness of EU insurance industries. The Service Industries Journal, (1).

[8] Hoekman, B., & Primo Braga, C. A. (1997). Protection and trade in services: A survey. Open Economies Review, (3).

[9] Zeng, R., Wang, X., Wang, Z., & Gu, Y. (2025). Logic and Path of China's Regional Economic Disparities: From Institutional Change, Factor Flow and Technological Innovation. Journal of Global Trends in Social Science, 2(8), 32-39.https://doi.org/10.70731/s98wcs90

[10] Lin, H., & Gu, Y. (2025). Research on the Path to Enhance Supply Chain Resilience of SMEs in the Context of Digital Economy. Journal of Global Trends in Social Science, 2(9), 16-21.https://doi.org/10.70731/xmx66997

[11] Gu, Y., Feng, G., & Li, Y. (2025). Research on the Impact Mechanism of Environmental Economics on Study Tour Education: Transnational Cases and Student Capacity Building. Journal of Global Trends in Social Science, 2(8), 46-52.https://doi.org/10.70731/hyc94503

[12] Gu, Y., Pan, D., Yang, N., & Wang, X. (2025). Research on Storage and Transportation Cost Control and Technological Breakthroughs from the Perspective of Global Hydrogen Energy Development. Journal of Sustainable Built Environment, 2(5), 33-38.https://doi.org/10.70731/9ygthr89

[13] Li, B. (2025, August). High-precision photovoltaic potential prediction using a multi-factor deep residual network. In 2025 6th International Conference on Clean Energy and Electric Power Engineering (ICCEPE) (pp. 300-303). IEEE.

[14] Li, B. (2025). GIS-Integrated Semi-Supervised U-Net for Automated Spatiotemporal Detection and Visualization of Land Encroachment in Protected Areas Using Remote Sensing Imagery.

[15] Zhang, T. (2025). From Black Box to Actionable Insights: An Adaptive Explainable AI Framework for Proactive Tax Risk Mitigation in Small and Medium Enterprises.

[16] Zhang, T. (2025). A Knowledge Graph-Enhanced Multimodal AI Framework for Intelligent Tax Data Integration and Compliance Enhancement. Frontiers in Business and Finance, 2(02), 247-261.

[17] Qi, R. (2025). Interpretable Slow-Moving Inventory Forecasting: A Hybrid Neural Network Approach with Interactive Visualization.

[18] Wang, Y. (2025). AI-AugETM: An AI-augmented exposure–toxicity joint modeling framework for personalized dose optimization in early-phase clinical trials. Preprints. https://doi. org/10.20944/preprints202507, 637, v1.