PUBLISHER: Bizwit Research & Consulting LLP | PRODUCT CODE: 1363842
PUBLISHER: Bizwit Research & Consulting LLP | PRODUCT CODE: 1363842
Global Construction Estimating Software Market is valued approximately USD 1.45 billion in 2022 and is anticipated to grow with a healthy growth rate of more than 8.30% over the forecast period 2023-2030. The Construction Estimating Software Market refers to the industry that provides software solutions specifically designed to assist construction professionals in estimating project costs accurately. This software streamlines the estimation process by automating calculations, organizing data, and providing tools for creating detailed cost breakdowns. The major driving factors for the Global Construction Estimating Software Market are increasing construction activities and rising integration with construction management systems. Moreover, the rising adoption of cloud-based solutions, rising government initiatives, and growing adoption of artificial intelligence and machine learning are creating a lucrative growth opportunity for the market over the forecast period 2023-2030.
As an example, in September 2021, the U.K. Government announced its plans to invest USD 900 billion in private and public construction leading to infrastructure development over the next 10 years. With a specific target of completing projects worth USD 200 billion by 2025, this initiative is expected to generate significant job opportunities, providing employment for approximately 425,000 people per year during this period. Government initiatives aimed at establishing digital infrastructure are indeed accelerating the adoption of construction estimating software. These initiatives involve various government-authorized organizations developing software to prepare cost structures for different construction and infrastructure development projects. For instance, Public Works Department (PWD) of India, was announced in June 2022, for development of construction and project estimator software. However, the high cost of Construction Estimating Software stifles market growth throughout the forecast period of 2023-2030.
The key regions considered for the Global Construction Estimating Software Market study includes Asia Pacific, North America, Europe, Latin America, and Middle East & Africa. North America represents a significant market for construction estimating software in 2022. The United States and Canada are major contributors to the market, driven by the region's large construction industry and the adoption of advanced technologies. Factors such as the increasing demand for infrastructure development, rising construction activities in residential and commercial sectors, and a focus on cost optimization and project management drive the market in this region. The Asia Pacific region is experiencing fastest-growth in the construction estimating software market over the forecast period 2023-2030. Countries such as China, India, Japan, Australia, and South Korea offer substantial market opportunities. The region's rapid urbanization, infrastructure development projects, and the adoption of advanced construction practices contribute to the market growth. Additionally, government initiatives, such as smart city development and investments in transportation and energy sectors, drive the demand for construction estimating software in the region.
The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.
The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below.
List of tables and figures and dummy in nature, final lists may vary in the final deliverable
List of tables and figures and dummy in nature, final lists may vary in the final deliverable