| Product Code: ETC12004869 | Publication Date: Apr 2025 | Updated Date: Aug 2025 | Product Type: Market Research Report | |
| Publisher: 6Wresearch | Author: Sachin Kumar Rai | No. of Pages: 65 | No. of Figures: 34 | No. of Tables: 19 |
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 China Driving Vacation Market Overview |
3.1 China Country Macro Economic Indicators |
3.2 China Driving Vacation Market Revenues & Volume, 2021 & 2031F |
3.3 China Driving Vacation Market - Industry Life Cycle |
3.4 China Driving Vacation Market - Porter's Five Forces |
3.5 China Driving Vacation Market Revenues & Volume Share, By Traveler Demographics, 2021 & 2031F |
3.6 China Driving Vacation Market Revenues & Volume Share, By Trip Duration, 2021 & 2031F |
3.7 China Driving Vacation Market Revenues & Volume Share, By Themes, 2021 & 2031F |
4 China Driving Vacation Market Dynamics |
4.1 Impact Analysis |
4.2 Market Drivers |
4.2.1 Increasing disposable income of Chinese consumers |
4.2.2 Growth in the number of licensed and reputable driving vacation operators in China |
4.2.3 Rising popularity of road trips and self-drive vacations among Chinese travelers |
4.3 Market Restraints |
4.3.1 Traffic congestion and road safety concerns in popular driving vacation destinations |
4.3.2 Lack of infrastructure development for driving vacations in certain regions of China |
5 China Driving Vacation Market Trends |
6 China Driving Vacation Market, By Types |
6.1 China Driving Vacation Market, By Traveler Demographics |
6.1.1 Overview and Analysis |
6.1.2 China Driving Vacation Market Revenues & Volume, By Traveler Demographics, 2021 - 2031F |
6.1.3 China Driving Vacation Market Revenues & Volume, By Age, 2021 - 2031F |
6.1.4 China Driving Vacation Market Revenues & Volume, By Gender, 2021 - 2031F |
6.1.5 China Driving Vacation Market Revenues & Volume, By Income Level, 2021 - 2031F |
6.1.6 China Driving Vacation Market Revenues & Volume, By Family Status, 2021 - 2031F |
6.2 China Driving Vacation Market, By Trip Duration |
6.2.1 Overview and Analysis |
6.2.2 China Driving Vacation Market Revenues & Volume, By Short-term (1-3 days), 2021 - 2031F |
6.2.3 China Driving Vacation Market Revenues & Volume, By Medium-term (4-7 days), 2021 - 2031F |
6.2.4 China Driving Vacation Market Revenues & Volume, By Long-term (8+ days), 2021 - 2031F |
6.3 China Driving Vacation Market, By Themes |
6.3.1 Overview and Analysis |
6.3.2 China Driving Vacation Market Revenues & Volume, By Adventure, 2021 - 2031F |
6.3.3 China Driving Vacation Market Revenues & Volume, By Cultural, 2021 - 2031F |
6.3.4 China Driving Vacation Market Revenues & Volume, By Relaxation, 2021 - 2031F |
6.3.5 China Driving Vacation Market Revenues & Volume, By Wildlife, 2021 - 2031F |
7 China Driving Vacation Market Import-Export Trade Statistics |
7.1 China Driving Vacation Market Export to Major Countries |
7.2 China Driving Vacation Market Imports from Major Countries |
8 China Driving Vacation Market Key Performance Indicators |
8.1 Average length of driving vacation trips taken by Chinese travelers |
8.2 Number of new driving vacation routes introduced in China |
8.3 Percentage increase in bookings for driving vacation packages each year |
9 China Driving Vacation Market - Opportunity Assessment |
9.1 China Driving Vacation Market Opportunity Assessment, By Traveler Demographics, 2021 & 2031F |
9.2 China Driving Vacation Market Opportunity Assessment, By Trip Duration, 2021 & 2031F |
9.3 China Driving Vacation Market Opportunity Assessment, By Themes, 2021 & 2031F |
10 China Driving Vacation Market - Competitive Landscape |
10.1 China Driving Vacation Market Revenue Share, By Companies, 2024 |
10.2 China Driving Vacation 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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