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New Market Study: "Waste Processing Plant Construction in South Africa to 2016: Market Databook"

Recently published research from Timetric, "Waste Processing Plant Construction in South Africa to 2016: Market Databook", is now available at Fast Market Research

 
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Boston, MA -- (SBWIRE) -- 09/14/2012 -- This report is the result of Timetric's extensive market research covering the waste processing plants construction industry in South Africa. It contains detailed historic and forecast market value data for the waste processing plants construction industry, including a breakdown of the data by construction activity (new construction, repair and maintenance, refurbishment and demolition). 'Waste Processing Plant Construction in South Africa to 2016: Market Databook' provides a top-level overview and detailed insight into the operating environment of the waste processing plants industry in South Africa. It is an essential tool for companies active across the South African construction value chain and for new players considering to enter the market.

Scope

- Overview of the waste processing plants construction industry in South Africa
- Historic and forecast market value for the waste processing plants construction industry by construction output and value-add methods for the period 2007 through to 2016
- Historic and forecast market value by construction activity (new construction, repair and maintenance, refurbishment and demolition) across the waste processing plants construction industry for the period 2007 through to 2016

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Reasons to Get this Report

- This report provides you with valuable data for the waste processing plants construction industry in South Africa
- This report provides you with a breakdown of market value by type of construction activity (new construction, repair and maintenance, refurbishment and demolition)
- This report enhances your knowledge of the market with key figures detailing market values using the construction output and value add methods
- This report allows you to plan future business decisions using the forecast figures given for the market

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