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The 2023-2028 Outlook for Online Travel in China

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Last 71 days · 71 data points (no recent data)

Historical
Generating forecast…
£495.00 £470.25 £480.15 £490.05 £499.95 £509.85 £519.75 10 June 2026 27 June 2026 15 July 2026 01 August 2026 19 August 2026

Price Distribution

Price distribution over 71 days • 1 price levels

Days at Price
71 days 0 18 36 53 71 £495 Days at Price

Price Analysis

Most common price: £495 (71 days, 100.0%)

Price range: £495 - £495

Price levels: 1 different prices over 71 days

Description

This study covers the latent demand outlook for online travel across the regions of China, including provinces, autonomous regions (Guangxi, Nei Mongol, Ningxia, Xinjiang, Xizang - Tibet), municipalities (Beijing, Chongqing, Shanghai, and Tianjin), special administrative regions (Hong Kong and Macau), and Taiwan (all hereafter referred to as "regions"). Latent demand (in millions of U.S. dollars), or potential industry earnings (P.I.E.) estimates are given across some 1,100 cities in China. For each major city in question, the percent share the city is of the region and of China is reported. Each major city is defined as an area of "economic population", as opposed to the demographic population within a legal geographic boundary. For many cities, the economic population is much larger that the population within the city limits; this is especially true for the cities of the Western regions. For the coastal regions, cities which are close to other major cities or which represent, by themselves, a high percent of the regional population, actual city-level population is closer to the economic population (e.g. in Beijing). Based on this "economic" definition of population, comparative benchmarks allow the reader to quickly gauge a city's marketing and distribution value vis-à-vis others. This exercise is quite useful for persons setting up distribution centers or sales force strategies. Using econometric models which project fundamental economic dynamics within each region and city of influence, latent demand estimates are created for online travel. This report does not discuss the specific players in the market serving the latent demand, nor specific details at the product level. The study also does not consider short-term cyclicalities that might affect realized sales. The study, therefore, is strategic in nature, taking an aggregate and long-run view, irrespective of the players or products involved. In this report we define the sales of online travel as including all commonly understood services falling within this broad category, such as air travel, hotel accommodation, and packaged tours, irrespective of product packaging, formulation, size, or form. Companies participating in this industry include Airbnb, Booking Holdings, Ctrip.com International, eDreams, Expedia, Fareportal, Hostelworld Group, Hotel Urbano Travel and Tourism SA, HRS, Lastminute.com, Lonely Planet Global, Inc., MakeMyTrip, Orbitz, Priceline, ThomasCook Group, Travelocity, TripAdvisor, and Trivago GmbH. In addition to the sources indicated, additional information available to the public via news and/or press releases published by players in the industry was considered in defining and calibrating this category. All figures are in a common currency (U.S. dollars, millions) and are not adjusted for inflation (i.e., they are current values). Exchange rates used to convert to U.S. dollars are averages for the year in question. Future exchange rates are assumed to be constant in the future at the current level (the average of the year of this publication's release in 2022).

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
16 August 2022
Listed Since
26 August 2022

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