| Product Code: ETC10145092 | 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 Zimbabwe Online Accommodation Booking Market Overview |
3.1 Zimbabwe Country Macro Economic Indicators |
3.2 Zimbabwe Online Accommodation Booking Market Revenues & Volume, 2021 & 2031F |
3.3 Zimbabwe Online Accommodation Booking Market - Industry Life Cycle |
3.4 Zimbabwe Online Accommodation Booking Market - Porter's Five Forces |
3.5 Zimbabwe Online Accommodation Booking Market Revenues & Volume Share, By Platform, 2021 & 2031F |
3.6 Zimbabwe Online Accommodation Booking Market Revenues & Volume Share, By Mode of Booking, 2021 & 2031F |
4 Zimbabwe Online Accommodation Booking Market Dynamics |
4.1 Impact Analysis |
4.2 Market Drivers |
4.2.1 Increasing internet penetration and access to smartphones in Zimbabwe |
4.2.2 Growth in the tourism industry and number of tourists visiting Zimbabwe |
4.2.3 Rising demand for convenient and hassle-free booking options for accommodations |
4.3 Market Restraints |
4.3.1 Limited payment options and concerns regarding online payment security in Zimbabwe |
4.3.2 Lack of awareness and trust in online booking platforms among local consumers |
4.3.3 Competition from traditional accommodation booking methods, such as travel agencies and direct bookings |
5 Zimbabwe Online Accommodation Booking Market Trends |
6 Zimbabwe Online Accommodation Booking Market, By Types |
6.1 Zimbabwe Online Accommodation Booking Market, By Platform |
6.1.1 Overview and Analysis |
6.1.2 Zimbabwe Online Accommodation Booking Market Revenues & Volume, By Platform, 2021- 2031F |
6.1.3 Zimbabwe Online Accommodation Booking Market Revenues & Volume, By Mobile application, 2021- 2031F |
6.1.4 Zimbabwe Online Accommodation Booking Market Revenues & Volume, By Website, 2021- 2031F |
6.2 Zimbabwe Online Accommodation Booking Market, By Mode of Booking |
6.2.1 Overview and Analysis |
6.2.2 Zimbabwe Online Accommodation Booking Market Revenues & Volume, By Third party online portals, 2021- 2031F |
6.2.3 Zimbabwe Online Accommodation Booking Market Revenues & Volume, By Direct/captive portals, 2021- 2031F |
7 Zimbabwe Online Accommodation Booking Market Import-Export Trade Statistics |
7.1 Zimbabwe Online Accommodation Booking Market Export to Major Countries |
7.2 Zimbabwe Online Accommodation Booking Market Imports from Major Countries |
8 Zimbabwe Online Accommodation Booking Market Key Performance Indicators |
8.1 Average booking lead time (time taken from search to booking confirmation) |
8.2 Customer retention rate on online booking platforms |
8.3 Percentage of repeat bookings from satisfied customers |
8.4 Average rating and feedback score of accommodations on the platform |
8.5 Conversion rate of website visitors to bookings |
9 Zimbabwe Online Accommodation Booking Market - Opportunity Assessment |
9.1 Zimbabwe Online Accommodation Booking Market Opportunity Assessment, By Platform, 2021 & 2031F |
9.2 Zimbabwe Online Accommodation Booking Market Opportunity Assessment, By Mode of Booking, 2021 & 2031F |
10 Zimbabwe Online Accommodation Booking Market - Competitive Landscape |
10.1 Zimbabwe Online Accommodation Booking Market Revenue Share, By Companies, 2024 |
10.2 Zimbabwe 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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