| Product Code: ETC7549492 | 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 India Online Accommodation Booking Market Overview |
3.1 India Country Macro Economic Indicators |
3.2 India Online Accommodation Booking Market Revenues & Volume, 2021 & 2031F |
3.3 India Online Accommodation Booking Market - Industry Life Cycle |
3.4 India Online Accommodation Booking Market - Porter's Five Forces |
3.5 India Online Accommodation Booking Market Revenues & Volume Share, By Platform, 2021 & 2031F |
3.6 India Online Accommodation Booking Market Revenues & Volume Share, By Mode of Booking, 2021 & 2031F |
4 India Online Accommodation Booking Market Dynamics |
4.1 Impact Analysis |
4.2 Market Drivers |
4.2.1 Increasing internet penetration and smartphone usage in India |
4.2.2 Growing trend of online travel bookings and digitalization of accommodation reservations |
4.2.3 Expansion of online travel agencies and accommodation booking platforms in the Indian market |
4.3 Market Restraints |
4.3.1 High competition among online accommodation booking platforms leading to pricing pressures |
4.3.2 Concerns around data security and privacy leading to hesitancy in online transactions |
4.3.3 Infrastructure challenges in certain regions impacting the accessibility and reliability of online booking platforms |
5 India Online Accommodation Booking Market Trends |
6 India Online Accommodation Booking Market, By Types |
6.1 India Online Accommodation Booking Market, By Platform |
6.1.1 Overview and Analysis |
6.1.2 India Online Accommodation Booking Market Revenues & Volume, By Platform, 2021- 2031F |
6.1.3 India Online Accommodation Booking Market Revenues & Volume, By Mobile application, 2021- 2031F |
6.1.4 India Online Accommodation Booking Market Revenues & Volume, By Website, 2021- 2031F |
6.2 India Online Accommodation Booking Market, By Mode of Booking |
6.2.1 Overview and Analysis |
6.2.2 India Online Accommodation Booking Market Revenues & Volume, By Third party online portals, 2021- 2031F |
6.2.3 India Online Accommodation Booking Market Revenues & Volume, By Direct/captive portals, 2021- 2031F |
7 India Online Accommodation Booking Market Import-Export Trade Statistics |
7.1 India Online Accommodation Booking Market Export to Major Countries |
7.2 India Online Accommodation Booking Market Imports from Major Countries |
8 India Online Accommodation Booking Market Key Performance Indicators |
8.1 Average daily rate (ADR) of online accommodation bookings |
8.2 Conversion rate of website visitors to actual bookings |
8.3 Customer satisfaction scores for online booking platforms |
8.4 Percentage growth in mobile app downloads for accommodation booking platforms |
8.5 Average length of stay for online bookings |
9 India Online Accommodation Booking Market - Opportunity Assessment |
9.1 India Online Accommodation Booking Market Opportunity Assessment, By Platform, 2021 & 2031F |
9.2 India Online Accommodation Booking Market Opportunity Assessment, By Mode of Booking, 2021 & 2031F |
10 India Online Accommodation Booking Market - Competitive Landscape |
10.1 India Online Accommodation Booking Market Revenue Share, By Companies, 2024 |
10.2 India Online Accommodation Booking 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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