| Product Code: ETC7575223 | Publication Date: Sep 2024 | Updated Date: Aug 2025 | Product Type: Market Research Report | |
| Publisher: 6Wresearch | Author: Dhaval Chaurasia | No. of Pages: 75 | No. of Figures: 35 | No. of Tables: 20 |
1 Executive Summary |
2 Introduction |
2.1 Key Highlights of the Report |
2.2 Report Description |
2.3 Market Scope & Segmentation |
2.4 Research Methodology |
2.5 Assumptions |
3 Indonesia Short-Term Vacation Rental Market Overview |
3.1 Indonesia Country Macro Economic Indicators |
3.2 Indonesia Short-Term Vacation Rental Market Revenues & Volume, 2021 & 2031F |
3.3 Indonesia Short-Term Vacation Rental Market - Industry Life Cycle |
3.4 Indonesia Short-Term Vacation Rental Market - Porter's Five Forces |
3.5 Indonesia Short-Term Vacation Rental Market Revenues & Volume Share, By Accommodation Type, 2021 & 2031F |
3.6 Indonesia Short-Term Vacation Rental Market Revenues & Volume Share, By Booking Mode, 2021 & 2031F |
4 Indonesia Short-Term Vacation Rental Market Dynamics |
4.1 Impact Analysis |
4.2 Market Drivers |
4.2.1 Increasing disposable income of Indonesians |
4.2.2 Growing popularity of vacation rentals over traditional hotels |
4.2.3 Rise in domestic and international tourism in Indonesia |
4.3 Market Restraints |
4.3.1 Regulatory challenges and uncertainties in the vacation rental market |
4.3.2 Competition from established hotel chains and online travel agencies |
4.3.3 Economic instability impacting travel spending |
5 Indonesia Short-Term Vacation Rental Market Trends |
6 Indonesia Short-Term Vacation Rental Market, By Types |
6.1 Indonesia Short-Term Vacation Rental Market, By Accommodation Type |
6.1.1 Overview and Analysis |
6.1.2 Indonesia Short-Term Vacation Rental Market Revenues & Volume, By Accommodation Type, 2021- 2031F |
6.1.3 Indonesia Short-Term Vacation Rental Market Revenues & Volume, By Home, 2021- 2031F |
6.1.4 Indonesia Short-Term Vacation Rental Market Revenues & Volume, By Apartments, 2021- 2031F |
6.1.5 Indonesia Short-Term Vacation Rental Market Revenues & Volume, By Resort/Condominium, 2021- 2031F |
6.1.6 Indonesia Short-Term Vacation Rental Market Revenues & Volume, By Others, 2021- 2031F |
6.2 Indonesia Short-Term Vacation Rental Market, By Booking Mode |
6.2.1 Overview and Analysis |
6.2.2 Indonesia Short-Term Vacation Rental Market Revenues & Volume, By Online, 2021- 2031F |
6.2.3 Indonesia Short-Term Vacation Rental Market Revenues & Volume, By Offline, 2021- 2031F |
7 Indonesia Short-Term Vacation Rental Market Import-Export Trade Statistics |
7.1 Indonesia Short-Term Vacation Rental Market Export to Major Countries |
7.2 Indonesia Short-Term Vacation Rental Market Imports from Major Countries |
8 Indonesia Short-Term Vacation Rental Market Key Performance Indicators |
8.1 Average occupancy rate of short-term vacation rentals in Indonesia |
8.2 Average daily rate (ADR) of vacation rentals |
8.3 Number of bookings made through online platforms |
8.4 Customer satisfaction scores for vacation rental experiences |
8.5 Percentage of repeat customers choosing vacation rentals |
9 Indonesia Short-Term Vacation Rental Market - Opportunity Assessment |
9.1 Indonesia Short-Term Vacation Rental Market Opportunity Assessment, By Accommodation Type, 2021 & 2031F |
9.2 Indonesia Short-Term Vacation Rental Market Opportunity Assessment, By Booking Mode, 2021 & 2031F |
10 Indonesia Short-Term Vacation Rental Market - Competitive Landscape |
10.1 Indonesia Short-Term Vacation Rental Market Revenue Share, By Companies, 2024 |
10.2 Indonesia Short-Term Vacation Rental Market Competitive Benchmarking, By Operating and Technical Parameters |
11 Company Profiles |
12 Recommendations |
13 Disclaimer |
Export potential enables firms to identify high-growth global markets with greater confidence by combining advanced trade intelligence with a structured quantitative methodology. The framework analyzes emerging demand trends and country-level import patterns while integrating macroeconomic and trade datasets such as GDP and population forecasts, bilateral import–export flows, tariff structures, elasticity differentials between developed and developing economies, geographic distance, and import demand projections. Using weighted trade values from 2020–2024 as the base period to project country-to-country export potential for 2030, these inputs are operationalized through calculated drivers such as gravity model parameters, tariff impact factors, and projected GDP per-capita growth. Through an analysis of hidden potentials, demand hotspots, and market conditions that are most favorable to success, this method enables firms to focus on target countries, maximize returns, and global expansion with data, backed by accuracy.
By factoring in the projected importer demand gap that is currently unmet and could be potential opportunity, it identifies the potential for the Exporter (Country) among 190 countries, against the general trade analysis, which identifies the biggest importer or exporter.
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