Big Data Analytics in Construction Market Report 2026

The big data analytics in construction market size has grown strongly in recent years. It will grow from $9.83 billion in 2025 to $10.63 billion in 2026 at a compound annual growth rate (CAGR) of 8.1%. The growth in the historic period can be attributed to increasing use of data-driven construction decision-making, growing adoption of IoT-enabled construction monitoring tools, reliance on cloud-based data management, expansion of digital project documentation, rising implementation of predictive risk analysis.

The big data analytics in construction market size is expected to see strong growth in the next few years. It will grow to $14.37 billion in 2030 at a compound annual growth rate (CAGR) of 7.8%. The growth in the forecast period can be attributed to growing demand for advanced AI-based project analytics, expansion of smart infrastructure development, rising adoption of autonomous data-collection systems, growth in integrated BIM and data platforms, increasing deployment of real-time performance monitoring solutions. Major trends in the forecast period include AI-driven predictive construction insights, expansion of cloud-based construction analytics platforms, advancement of automated data processing workflows, deployment of IOT-integrated project monitoring systems, growing use of robotics-generated construction data.

The increasing infrastructure development activities are expected to drive the growth of the big data analytics in construction market moving forward. Infrastructure development encompasses the planning, construction, and maintenance of essential physical systems such as transportation, energy, water, and communication networks. The rise in these activities is fueled by economic growth and urbanization, which increase demand for enhanced transportation, energy, and public utility systems. Big data analytics supports infrastructure development by delivering data-driven insights that improve planning and execution. It aids in optimizing resource allocation, early risk detection, and better project scheduling, resulting in more efficient and sustainable infrastructure outcomes. For example, in July 2024, the Office for National Statistics, a UK government department, reported that total general government investment in infrastructure reached $17.25 billion (£13.8 billion) in 2023, a 3.9% increase from 2022. Consequently, the expanding infrastructure development activities are propelling the growth of the big data analytics in construction market.

Key companies in the big data analytics in construction market are focusing on advanced solutions, such as artificial intelligence platforms, to streamline AI solution development and deployment by providing ready-to-use tools. Artificial intelligence platforms are comprehensive systems that offer the infrastructure and tools required to build, train, and deploy AI-powered applications. For instance, in January 2025, Aurigo Software, a US-based software company, launched Aurigo Lumina, an AI platform designed to improve capital planning and construction management through enhanced data access, insights, and decision-making. The platform introduces Lumina GPT, which utilizes generative AI for intuitive document searches, and Lumina Analytics, applying machine learning to increase budget and schedule accuracy while identifying risks. Aimed at reducing data silos and project inefficiencies, Lumina integrates with Aurigo’s Masterworks suite and plans to expand in 2025 with advanced risk management tools, meeting the growing demand for AI in the construction industry.

In September 2024, Bentley Systems Inc., a US-based infrastructure engineering software provider, acquired Cesium GS Inc. for an undisclosed amount. This acquisition enables Bentley to integrate Cesium’s cloud-native 3D tiling, rendering, and streaming technology into its infrastructure software, improving support for engineering-scale digital twins and large-scale visualization. Cesium GS Inc. is a US-based 3D geospatial software firm specializing in big data analytics in construction.

Major companies operating in the big data analytics in construction market are Google LLC, Microsoft Corporation, Siemens AG, Accenture Plc, International Business Machines Corporation, Oracle Corporation, SAP SE, Capgemini, Bechtel Corporation, Dassault Systèmes S.E., Hexagon AB, Autodesk Inc., SAS Institute Inc., Bentley Systems Incorporated, Nemetschek SE, Procore Technologies Inc., ConstructConnect Inc., Dodge Construction Network LLC, VisiLean Corporation, Rhumbix Inc., ALICE Technologies Inc., Mercator AI Inc., Environmental Systems Research Institute Inc.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report’s Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

Tariffs are influencing the big data analytics in construction market by increasing costs for imported IoT sensors, drones, wearable devices, and scanning systems essential for data collection and analytics delivery. Major construction markets in North America, Europe, and Asia-Pacificwhere extensive reliance on imported sensing and data-capture hardware existsare the most affected. However, tariffs are accelerating domestic sensor manufacturing, regional data hardware sourcing, and innovation in cost-efficient analytics ecosystems, improving long-term digital infrastructure resilience.

The big data analytics in construction market research report is one of a series of new reports that provides big data analytics in construction market statistics, including the big data analytics in construction industry global market size, regional shares, competitors with the big data analytics in construction market share, detailed big data analytics in construction market segments, market trends, and opportunities, and any further data you may need to thrive in the big data analytics in construction industry. This big data analytics in construction market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.

Big data analytics in construction involves the collection, processing, and analysis of large volumes of data generated throughout the lifecycle of construction projects. This approach enables stakeholders to gain valuable insights by identifying patterns, trends, and correlations within complex datasets. It supports improved decision-making, enhances operational efficiency, and provides a deeper understanding of various project dynamics.

The main components of big data analytics in construction include solutions and services. Solutions consist of tools and platforms designed to analyze extensive construction data to boost decision-making, efficiency, safety, and project outcomes. The primary deployment models are on-premises and cloud-based, with key technologies such as predictive analytics, machine learning and artificial intelligence, data visualization, Internet of Things (IoT) integration, and more. Applications span project management, design and planning, construction management, operations and maintenance, among others, serving end users such as general contractors, subcontractors, project owners, architects and engineers, and government agencies.North America was the largest region in the big data analytics in construction market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in big data analytics in construction report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa. The countries covered in the big data analytics in construction market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The big data analytics in construction market consists of revenues earned by entities by providing services such as cost estimation, budget optimization, risk management, supply chain optimization, and quality control analytics. The market value includes the value of related goods sold by the service provider or included within the service offering. The big data analytics in construction market also includes sales of internet of things (IoT) sensors, drones, wearable devices, environmental monitoring systems, and laser scanners. Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

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