As of May 2026, there are 61 SaaS companies in Construction Data Analytics Software. They have combined revenues of $388.7M and employ 3.2K people. They have raised $210.5M and serve 1.3K customers combined.
Construction Data Analytics Software is designed to help construction companies collect, analyze, and interpret vast amounts of data generated throughout project lifecycles. By utilizing historical and real-time data, organizations can uncover insights that facilitate better decision-making, improve project efficiency, and mitigate risks. Common use cases include forecasting cost overruns, tracking resource utilization, and optimizing schedules. Typical features of construction data analytics software include interactive dashboards, reporting tools, and predictive analytics capabilities that provide users with actionable insights. These tools are frequently utilized by project managers, operations teams, and financial analysts who seek to improve project outcomes and enhance organizational performance.
Sorting: Highest -> Lowest
Showing 10 of 9 companies ranked by annual revenue.
Nova Scotia, Canada
Construction AI is a leading provider of artificial intelligence solutions designed to transform the construction industry by harnessing the power of AI , we empower construction companies to deliver projects on time, within budget, and with superior quality.
Los Altos, California, United States
Versatile uses artificial intelligence (AI) to identify inefficiencies within construction sites and find ways to address them. This strategy can help speed up projects and save money at the same time.
Redwood City, California, United States
Developer of a construction site monitoring platform designed to verify site work. The company's subscription based software helps to measure, verify, quantify progress of construction during site work stage, significantly reducing budget and timeline uncertainty, merge their blueprints and CAD models with the data collected from drones and automate processes in construction, enabling clients to control the progress of construction is more than one sites.
Hong Kong, China
viAct is an environmental, social and governance-focused artificial intelligence (AI) company providing scenario-based vision intelligence solutions for the architecture, engineering, and construction industry. It is also focused on improving efficiency and personnel safety in construction sites.
Menlo Park, California, United States
construction technology visual data analytics platform
Espoo, Finland
Developer of a project management cloud platform designed to view and share up-to-date project progress data on all PC and mobile devices. The company's platform stores, shares and surveys construction sites project progress information from the field in real-time, enabling real estate and construction companies to complete projects faster with better quality and lower costs.
Sydney, New South Wales, Australia
Neara is a cloud-based enterprise platform that makes complex analysis, design, and application access to the infrastructure industry.
Buffalo, New York, United States
Strayos is a technology company specializing in advanced analytics and 3D visualization solutions for the mining and construction industries. Their innovative software platform combines artificial intelligence (AI) and machine learning (ML) algorithms with aerial and satellite imagery, LiDAR data, and other geospatial information to provide accurate insights and actionable intelligence. Strayos helps mining and construction companies optimize their operations, improve safety, and increase productivity by delivering real-time data, precise measurements, and comprehensive visualizations of their sites. Their solutions empower clients to make informed decisions, streamline workflows, and achieve better outcomes in areas such as blast design, fragmentation analysis, stockpile management, and equipment utilization.
- Must provide data visualization tools such as dashboards and charts - Must support historical and real-time data analysis for improving project management - Should include predictive analytics features to forecast potential risks and costs - Must cater to construction industry professionals such as project managers and financial analysts - Should facilitate the integration with other construction management tools and software - Not just limited to reporting capabilities; must also offer actionable insights based on data analysis
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