This statistic illustrates the percentage of organizations worldwide that have a project management officer (PMO) in 2020. During the survey, ** percent of respondents said that they have one or more PMOs.

This statistic illustrates the share of project management practitioners who believe their organization fully understands the value of project management worldwide in 2018. During the survey, ** percent of senior executives believed their organization fully understand the value of project management.

The statistic shows how the project management functions are impacted by the use of project management software, according to a 2019 U.S. survey conducted by Capterra. As of 2019, 65 percent of respondents said that the use of project management software has a positive impact on projects being completed on-time.

Introduction

Project Management Statistics: Project management is the practice of planning, executing, and overseeing projects to achieve specific goals within a defined timeframe and budget. It involves coordinating resources, managing teams, and ensuring that the project objectives are met efficiently and effectively. In today's fast-paced and ever-evolving business environment, project management has become a critical function across various industries, from IT and construction to healthcare and finance.

It requires a blend of technical skills, leadership, and communication, making it a dynamic and challenging profession that plays a crucial role in the success of modern organisations.

Download statistics and trends for 146 plugins in the Task & Project Management category

The statistic shows the various features employed by users of project management software in the United States, according to a 2019 survey conducted by Capterra. As of 2019, ** percent of respondents indicated that they used their project management software for task management.

Open communication emerged as the most mastered skill according to IT project managers globally who undertook DevSkiller assessments in 2024. Remote team management, capacity planning, and backlog management were also among the highly mastered skills, reflecting the importance of resource management and Agile methodologies in IT project management. Overall, project managers in the IT industry worldwide demonstrated impressive proficiency across various skills, crucial for leading complex IT initiatives in a rapidly evolving industry.

Employment statistics on the Collaboration & Project Management Software industry in United States

The Project Management Information System (PMIS) market has witnessed significant evolution over the years, becoming an essential component for organizations striving for efficiency and effectiveness in project delivery. A PMIS integrates various tools, processes, and methodologies to assist project managers in plan

The Best Management Practices Statistical Estimator (BMPSE) version 1.2.0 was developed by the U.S. Geological Survey (USGS), in cooperation with the Federal Highway Administration (FHWA) Office of Project Delivery and Environmental Review to provide planning-level information about the performance of structural best management practices for decision makers, planners, and highway engineers to assess and mitigate possible adverse effects of highway and urban runoff on the Nation's receiving waters (Granato 2013, 2014; Granato and others, 2021). The BMPSE was assembled by using a Microsoft Access® database application to facilitate calculation of BMP performance statistics. Granato (2014) developed quantitative methods to estimate values of the trapezoidal-distribution statistics, correlation coefficients, and the minimum irreducible concentration (MIC) from available data. Granato (2014) developed the BMPSE to hold and process data from the International Stormwater Best Management Practices Database (BMPDB, www.bmpdatabase.org). Version 1.0 of the BMPSE contained a subset of the data from the 2012 version of the BMPDB; the current version of the BMPSE (1.2.0) contains a subset of the data from the December 2019 version of the BMPDB. Selected data from the BMPDB were screened for import into the BMPSE in consultation with Jane Clary, the data manager for the BMPDB. Modifications included identifying water quality constituents, making measurement units consistent, identifying paired inflow and outflow values, and converting BMPDB water quality values set as half the detection limit back to the detection limit. Total polycyclic aromatic hydrocarbons (PAH) values were added to the BMPSE from BMPDB data; they were calculated from individual PAH measurements at sites with enough data to calculate totals. The BMPSE tool can sort and rank the data, calculate plotting positions, calculate initial estimates, and calculate potential correlations to facilitate the distribution-fitting process (Granato, 2014). For water-quality ratio analysis the BMPSE generates the input files and the list of filenames for each constituent within the Graphical User Interface (GUI). The BMPSE calculates the Spearman’s rho (ρ) and Kendall’s tau (τ) correlation coefficients with their respective 95-percent confidence limits and the probability that each correlation coefficient value is not significantly different from zero by using standard methods (Granato, 2014). If the 95-percent confidence limit values are of the same sign, then the correlation coefficient is statistically different from zero. For hydrograph extension, the BMPSE calculates ρ and τ between the inflow volume and the hydrograph-extension values (Granato, 2014). For volume reduction, the BMPSE calculates ρ and τ between the inflow volume and the ratio of outflow to inflow volumes (Granato, 2014). For water-quality treatment, the BMPSE calculates ρ and τ between the inflow concentrations and the ratio of outflow to inflow concentrations (Granato, 2014; 2020). The BMPSE also calculates ρ between the inflow and the outflow concentrations when a water-quality treatment analysis is done. The current version (1.2.0) of the BMPSE also has the option to calculate urban-runoff quality statistics from inflows to BMPs by using computer code developed for the Highway Runoff Database (Granato and Cazenas, 2009;Granato, 2019). Granato, G.E., 2013, Stochastic empirical loading and dilution model (SELDM) version 1.0.0: U.S. Geological Survey Techniques and Methods, book 4, chap. C3, 112 p., CD-ROM https://pubs.usgs.gov/tm/04/c03 Granato, G.E., 2014, Statistics for stochastic modeling of volume reduction, hydrograph extension, and water-quality treatment by structural stormwater runoff best management practices (BMPs): U.S. Geological Survey Scientific Investigations Report 2014–5037, 37 p., http://dx.doi.org/10.3133/sir20145037. Granato, G.E., 2019, Highway-Runoff Database (HRDB) Version 1.1.0: U.S. Geological Survey data release, https://doi.org/10.5066/P94VL32J. Granato, G.E., and Cazenas, P.A., 2009, Highway-Runoff Database (HRDB Version 1.0)--A data warehouse and preprocessor for the stochastic empirical loading and dilution model: Washington, D.C., U.S. Department of Transportation, Federal Highway Administration, FHWA-HEP-09-004, 57 p. https://pubs.usgs.gov/sir/2009/5269/disc_content_100a_web/FHWA-HEP-09-004.pdf Granato, G.E., Spaetzel, A.B., and Medalie, L., 2021, Statistical methods for simulating structural stormwater runoff best management practices (BMPs) with the stochastic empirical loading and dilution model (SELDM): U.S. Geological Survey Scientific Investigations Report 2020–5136, 41 p., https://doi.org/10.3133/sir20205136

Number of Businesses statistics on the Construction Project Management Services industry in United States

Introduction

Construction Software Statistics: Construction software encompasses a range of digital tools designed to enhance efficiency and collaboration across various stages of construction projects.

Key types include project management, Building Information Modeling (BIM), cost estimation, accounting, field management, contract management, and procurement software.

These tools automate tasks, improve communication, and provide accurate reporting, leading to cost savings and better risk management.

Recent trends highlight a shift towards cloud-based solutions, mobile compatibility, and the integration of artificial intelligence and machine learning. Which are expected further to drive innovation and efficiency in the construction industry.

Financial overview and grant giving statistics of Project Management Institute Rochester Chapter

Financial overview and grant giving statistics of Project Management Institute Crbc

The Enterprise Project Management Software (EPMS) market is rapidly evolving, reflecting a critical need for organizations to streamline their project management processes in an increasingly complex business environment. EPMS offers a suite of tools designed to enhance planning, collaboration, resource management, a

Abstract This work was the result of a cooperation agreement between the University of Brasilia (UnB) and a security organization. Its goal was to model the logistic processes of the company to assist in the modernization of a control system for the management of materials. The project was managed in a dynamic model, through the monitoring and control of activities executed during its various stages. The development of a control system enabled the detection of discrepancies between what was planned and how it was performed, identifying its causes and which actions to take to ensure that the project got back on track according to the planned schedule and budget. The main objective of this article was to identify which elements controlled by the project affected its execution time. With that knowledge, it was possible to improve the planning of the next phases of the project. To this end, we performed a case study of exploratory aspect and quantitative nature to provide information on the object and guide the formulation of hypotheses. The qualitative analysis of the execution time of the modeling identified two dependent variables - systematic version and team - out of the four evaluated. The quantitative analysis studied two variables - number of modifications and number of elements -, which did not indicate evidence of correlation with the aforementioned time.

The global online project management software market size reached USD 7.0 Billion in 2024. Looking forward, IMARC Group expects the market to reach USD 13.1 Billion by 2033, exhibiting a growth rate (CAGR) of 6.8% during 2025-2033. The growing need to enhance operational efficiency and minimize business complexities, increasing application to ensure predictability, accuracy, and profitability of organizations, and rising use in collaborating remotely at a higher speed represent some of the key factors driving the market.

IMARC Group provides an analysis of the key trends in each segment of the global online project management software market, along with forecasts at the global, regional, and country levels from 2025-2033. Our report has categorized the market based on deployment mode, enterprise size, and industry vertical.

The Project Management Software market has evolved significantly over the years, becoming an essential tool for businesses seeking to enhance efficiency, collaboration, and productivity in their project management processes. This software enables organizations to plan, execute, and monitor their projects with ease,

This statistic shows how organizations use standardized project management practices worldwide in 2018. During the survey, ** percent of respondents said standardized practices are used by some departments.

The Project Management Tools market is a dynamic and essential segment within the broader landscape of business operations, helping organizations streamline processes, enhance collaboration, and improve productivity. With the advent of technology, these tools have evolved significantly, offering features that cater