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Construction Estimating Software Market Size, Industry Analysis Report Software Type (Perpetual License, Subscription License),By Deployment Type (Cloud, On-Premise), By Enterprise Type (Small And Medium Enterprises, Large Enterprises), By End Use Type (Architects & Builders, Construction Managers, Contractors) & Region Forecast

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Global Construction Estimating Software Market Overview
It is estimated for the global construction estimating software market to witness growth at a CAGR of 9.2% during the forecast period of 2022 to 2030. The market witnessed growth at a CAGR of 7.5% during the previous forecast period of 2018 to 2021. Construction cost estimating software is computer software designed for contractors to estimate construction costs for a specific project. A cost estimator will typically use estimating software to estimate their bid price for a project, which will ultimately become part of a resulting construction contract.

Global Construction Estimating Software Market Growth Factors
The growing construction industry all over the world is the major factor for the growth of the market during the forecast period. The growing construction costs is leading to the automation in the calculation of the higher cost and also for the estimation of the further costs with accuracy and this factor also is boosting the growth of the market during the forecast period. The increasing number of construction-based contractors owing to the increasing construction activities is also a factor that is driving the growth of the market during the forecast period. Apart from this, the demand for maximum estimations in minimum time is also one of the major factors that is driving the growth of the market during the forecast period. However, the increased cost of this software makes it unaffordable on the part of small constriction builders and this factor is estimated to hamper the growth of the market during the forecast period.

Global Construction Estimating Software Market Market Trends
The growing construction costs is leading to the automation in the calculation of the higher cost and also for the estimation of the further costs with accuracy and this factor also is boosting the growth of the market during the forecast period.
Apart from this, the demand for maximum estimations in minimum time is also one of the major factors that is driving the growth of the market during the forecast period.
However, the increased cost of this software makes it unaffordable on the part of small constriction builders and this factor is estimated to hamper the growth of the market during the forecast period.

Global Construction Estimating Software Market Segmentation
The global construction estimating software market is segmented based on software type, deployment type, enterprise type and end use type.

Based on software type, the market is segmented into,
Perpetual License
Subscription License
Others

Based on deployment type, the market is segmented into,
Cloud
On-premise

Based on enterprise type, the market is segmented into,
Small and Medium Enterprises
Large Enterprises

Based on end use type, the market is segmented into,
Architects & Builders
Construction Managers
Contractors
Others

Global Construction Estimating Software Market Regional Analysis
It is estimated for the region of US to drive the growth of the market during the forecast period. The growing in the technological advancements in the food sector in the region is estimated to foster the growth of the market during the forecast period. The region of Europe is estimated to witness growth at a healthy rate during the forecast period. The Asia Pacific region is also estimated to witness a notable growth rate in the market.

Global Construction Estimating Software Market Key Market players
AppliCad Public Company Limited; Autodesk Inc.; Blue beam Software Inc.; Corecon Technologies, Inc.; Glodon Company Limited; Microsoft Corporation; PrioSoft Construction Software; RIB Software SE; Sage Group plc; Trimble Inc. are the major players that are driving the growth of the market during the forecast period.
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