£595.00

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£595 today · cheaper than every other day in the last 3 months

Disaster Data Recovery Services Outlook - Greater China Study

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Price History & Forecast

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Last 18 days · 18 data points (no recent data)

Historical
Generating forecast…
£595.00 £565.25 £577.15 £589.05 £600.95 £612.85 £624.75 11 August 2026 15 August 2026 19 August 2026 23 August 2026 28 August 2026
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Price Distribution

Price distribution over 18 days • 1 price levels

Days at Price
18 days 0 5 9 14 18 £595 Days at Price

Price Analysis

Most common price: £595 (18 days, 100.0%)

Price range: £595 - £595

Price levels: 1 different prices over 18 days

Description

This econometric study provides a comprehensive analysis of the latent demand outlook for disaster data recovery services across Greater China from 2016 to 2021. The research offers detailed potential industry earnings (P.I.E.) estimates in millions of U.S. dollars for approximately 1,100 cities throughout the region. Coverage includes provinces, autonomous regions such as Guangxi, Nei Mongol, Ningxia, Xinjiang, and Xizang (Tibet), as well as municipalities including Beijing, Chongqing, Shanghai, and Tianjin. The report also examines special administrative regions like Hong Kong and Macau, along with Taiwan. For major cities, the study provides specific data regarding the percent share of the market, offering a data-driven view of the industry landscape in this geographic area.

Key Features

Provides econometric estimates for latent demand in millions of U.S. dollars across Greater China.

Covers approximately 1,100 cities to offer localized market insights and potential industry earnings.

Includes detailed regional analysis for provinces, autonomous regions, and major municipalities.

Analyzes market data for special administrative regions including Hong Kong, Macau, and Taiwan.

Delivers specific percent share data for major cities within the disaster data recovery sector.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
22 September 2015
Listed Since
27 July 2016

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