DB 2020: Analyzing and forecasting design-build market trends

Vashani, H; Sullivan, J and El Asmar, M (2016) DB 2020: Analyzing and forecasting design-build market trends. Journal of Construction Engineering and Management, 142(6): 04016008, ISSN 0733-9364

Abstract

A leading engineering and construction industry magazine has been collecting revenue data from construction firms and publishes the list of the 100 largest design-build (DB) firms every year. According to this magazine and many technical articles, DB has grown drastically over the last decade; however, information about growth trends for different firm sizes is lacking. Also missing is a forecast of future market trends over the next five years. Using revenue data from the top 100 DB firms, the authors have divided the firms into subsets, using k-means clustering, and analyzed the growth rates of each subset compared with the average of the top 100 DB firms as a whole. Whereas the results show increasing market share only for the largest firms, the authors have found that: (1) a large portion of this growth is occurring in international markets; and (2) all subsets of the top 100 DB firms have increased revenues over the past decade. Regression and time-series analyses allowed for the forecasting of the top 100 DB firms' revenue growth, which the authors anticipate to increase by approximately 50% to nearly US$150 billion in 2020. This paper contributes to the construction engineering and management body of knowledge by (1) analyzing the DB market data using statistical clustering techniques to uncover differences in behavior for firms of different sizes, for the first time; and (2) forecasting DB market trends on the basis of these new findings. These contributions can help public agencies see how DB firms of all sizes are growing, while also understanding how international markets are driving the faster growth rate of larger DB firms. Additionally, the contributions of this paper can help DB practitioners anticipate market changes, on the basis of their firm's size, and strategically plan their firms' growth accordingly.

Item Type: Article
Uncontrolled Keywords: alternative project delivery methods; clustering; design-build; k-means; market share; organizational issues
Index terms: time-series analysis, forecasting, market share, project delivery, organizational issue, construction industry, clustering, international market, construction engineering, construction firm, revenue, body of knowledge, agency, practitioner
Subjects: engineering methods, development economics, sociology, market analysis, research evaluation and metrics, industry analysis, business, organization, practitioner, project delivery, prediction and forecasting, economic analysis, data science, knowledge management
Topics: Roles and Professions, Procurement, Business Strategy, Information Management, Engineering Principles, Research Practice, Organizational Design, Digital Applications, International Construction
Descriptive scope: 4 PCTA

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