Rail Infrastructure Construction Market in Angola - Market Size and Forecasts to 2026 (including New Construction, Repair and Maintenance, Refurbishment and Demolition and Materials, Equipment and Services costs)
Summary
The rail infrastructure construction sector in Angola registered a positive Compound Annual Growth Rate (CAGR) of 20.99% during the period 2017 to 2021 with an output value of AOA1,48,515.64 million in 2021, an increase of27.61% over 2020. The sector achieved its strongest performance in 2019 when it grew by 72.95% over the previous year and its weakest performance in 2020, when it decreased by 4.60% over 2019.
Rail Infrastructure Construction Market in Angola - Market Size and Forecasts to 2026 (including New Construction, Repair and Maintenance, Refurbishment and Demolition and Materials, Equipment and Services costs) is a broad level market review of Rail Infrastructure construction market in Angola.
Facilities that serve the railway system. This includes, but is not limited to, rail bridges, railway stations, terminals, rail buildings, rail tunnels and rail tracks. .
This research handbook provides historic and forecast market data for the Rail Infrastructure construction market in Angola, with a detailed breakdown of the data by construction activity (new construction, repair and maintenance, refurbishment and demolition) and by cost type (construction materials, construction equipment and construction services). It provides up-to-date market size data for the period 2017-2021 and an illustrative forecast to 2026.
This report also provides a top-level overview and detailed insight into the operating environment of the Rail Infrastructure construction market in Angola. It is an essential tool for companies active across the Angola construction value chain and for new players considering to enter the market.
Values in the handbook are depicted in USD ($) and local currency of the country.
*Note: Certain content / sections in the research handbook may be removed or altered based on the availability and relevance of data.
Scope
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