Top 25 Big Data Tools for Construction Companies in 2022
Apr. 21, 2022
BuildOps is excited to share this big data usage report. Our goal is to help construction industry professionals understand the best technology tools and platforms. Our team identified hundreds of platforms and tools and we invite you to explore, compare, and learn how they can benefit your business.
Some of the largest infrastructure projects produce an average of 130 million emails, 55 million documents, and 12 million workflows. With vast amounts of data being captured from many sources, many firms can’t manage and process this much information.
What We Discovered
In 2022, Google predicts the popularity index of big data topics rising from 35 to 65 within the construction industry (1 to 100 scale). This means that a large number of construction companies are starting to either adopt or research this technology.
Interesting facts about big data and the construction industry:
- 90% of data generated in the E&C industry is unstructured. This includes photos, customer reviews, purchase history, and even customer service call logs (Source -FMI).
- 13% of working hours are spent looking for project data and information.
- While 30% of E&C companies are using applications that don’t integrate with one another. (Source – FMI)
- “Material waste and remedial work represent 35% of costs in the construction industry. In this sector, big data analysis can be used to significantly reduce unnecessary costs”. (Source – dsxhub.org)
There are over 117 big data processing tools and technologies on the market today and roughly 68,000 companies around the world are investing and using big data including the construction industry.
Big data are data sets that are too large or complex to be dealt with by traditional data-processing application software. The value of big data is expected to increase by $30bn. in 2021 and 2022, making it one of the most valuable commodities in the world. Current usage of the term “big data” tends to refer to the use of predictive analytics, user behavior analytics, or certain other advanced data analytics methods that extract value from big data, and rarely to a particular size of data set.
Construction Competitive Advantage Application – Big data is being used in every stage of the construction process to increase efficiency and productivity. Data analytics tools are designed to pull information from large data repositories and make it accessible to everyone involved in the construction process, including contractors, architects, tradesmen, and clients.
- Apache Hadoop, Apache Kafka, Apache Apex, Apache Spark, Cloudera are the top 5 most used solutions.
- 96 % of construction and engineering data went unused in 2018. (Source – FMI)
- According to Google Trends data, big data didn’t exist in the construction industry 10 years ago.
How popular is the subject of big data in the construction industry? This Google Trends chart highlights the popularity of the big data Topic among construction companies for the past 10 years. This year, Google predicts the popularity index for big data rising from 35 to 65 within the construction industry (1 to 100 scale).
Below are the global Big Data tools and technology usages across 6 million-plus websites. Compare and see whether construction companies differ when it comes to web analytics tools. Here are the top 25 technologies across the top few million websites on the Internet.
Comments and Other Findings
- 90% of data generated in the E&C industry is unstructured. This includes photos, customer reviews, purchase history, and even customer service call logs (Source – FMI).
- In the past two years, interest in big data technology in the construction industry spiked twice to 100 interest index level – according to Google Trends data (highest possible interest level)
- 8% of E&C firms have real-time, full project management information systems that allow for dashboard reporting. (Source – FMI).
- New York, Massachusetts, and California are the top 3 states where construction companies show the most interest in big data technology. At the same time, you can see interest almost across all of the states – this highlights industry-wide interest in this tech.