Asep Koswara, Neni Kurniawati

Digital Interest in Nature-Based Accommodation: A Google Search Study of Glamping Popularity in Indonesia

Introduction

Digital interest in nature-based accommodation: a google search study of glamping popularity in indonesia . Explore digital interest in glamping in Indonesia using Google Search data (2019-2025). Discover rising popularity, key destinations, and consumer trends for nature-based accommodation. Insights for tourism strategies.

Abstract

This study investigated digital interest in nature-based accommodation, particularly glamping, by analyzing Google Search data in Indonesia from 2019 to 2025. Glamping, a fusion of “glamorous” and “camping,” has emerged as a growing trend among urban travelers seeking comfort in natural environments. Using a descriptive observational approach, the research utilized Google Trends to assess search volume dynamics, popular queries, regional patterns, and seasonal spikes. The results revealed a steady increase in glamping-related searches, with notable peaks during holidays and weekends, indicating a strong connection between digital interest and domestic travel behavior. Popular destinations such as Bogor, Bandung, and Ciwidey dominated the search queries, while new keywords like “Bobocabin” and “Heha Ocean Glamping” indicated rising consumer preferences. Regional data showed that areas like Bali and Jakarta contributed most to glamping-related search activity. The findings highlight the value of Google Trends as a real-time tool for understanding tourism demand and consumer intent. This research provides valuable insights for tourism stakeholders to anticipate market shifts, optimize promotional strategies, and develop nature-based tourism offerings.

Review

This study presents a timely and relevant investigation into the digital interest surrounding nature-based accommodation, specifically glamping, within the Indonesian context. Leveraging Google Search data from 2019 to 2025, the research adeptly employs Google Trends as a real-time analytical tool to gauge consumer intent and market dynamics. The premise that glamping represents a growing trend for urban travelers seeking comfort in natural environments underpins the study's significance, making it a valuable contribution to understanding evolving tourism preferences. The choice of methodology is well-suited for a descriptive observational analysis, effectively capturing the pulse of online search behavior for a niche but expanding market segment. The findings reveal a consistent upward trajectory in glamping-related searches, punctuated by predictable peaks during holidays and weekends, which strongly correlates digital interest with actual domestic travel patterns. The identification of popular search destinations like Bogor, Bandung, and Ciwidey, alongside the emergence of specific keywords such as "Bobocabin" and "Heha Ocean Glamping," provides granular insights into consumer preferences and the competitive landscape. Furthermore, pinpointing regions like Bali and Jakarta as primary drivers of search activity offers crucial geographical intelligence. While the descriptive approach effectively maps *what* is being searched, future studies might consider integrating qualitative data or socio-economic factors to delve into *why* these trends are emerging. Overall, this research successfully highlights the utility of Google Trends for tourism stakeholders, positioning it as an invaluable instrument for anticipating market shifts and optimizing promotional and development strategies for nature-based tourism offerings. The insights garnered are directly actionable, providing a robust foundation for industry professionals to tailor their services and marketing efforts. The study not only contributes to the academic understanding of digital tourism trends but also offers practical guidance for fostering sustainable growth in the nature-based accommodation sector in Indonesia. Further research could build upon this foundation by exploring correlations with actual booking data or analyzing the sentiment associated with these search queries.

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