Authors:
Preeti Wadhwani, Satyam Jaiswal
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IoT in Construction Market Size & Share 2026-2035
Report ID: GMI11358
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Published Date: August 2026
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IoT in Construction Market Size
The global IoT in construction market was valued at USD 18.2 billion in 2025. The market is expected to grow from USD 20.3 billion in 2026 to USD 56.3 billion in 2035 at a CAGR of 12%, according to latest report published by Global Market Insights Inc.
IoT in Construction Market Key Takeaways
Market Leader: Hexagon led with over 7.2% market share in 2025.
Leading Players: Top 5 players in this market include Autodesk, Bentley Systems, Hexagon, Trimble, Topcon, which collectively held a market share of 22.5% in 2025.
In terms of units, the year 2025 is accounting for around 26.6 million hardware units sold. The hardware units are projected to surpass 72.2 million units by 2035 at a CAGR of around 10.6% between 2026 and 2035.
IoT expansion in construction market comes about due to the change in construction companies’ asset management, worker monitoring, and project execution from manually fragmented operations to integrated sensor-based networks, analytics systems that can work in real time, and field management supported by AI technology. The use of IoT becomes a must-have in a scenario where the construction industry is embracing digital technology, together with cloud scalability and the miniaturization of hardware.
The construction sector continues to be the industry that records the most number of fatalities within the private industry segment, with 1,034 reported deaths in 2024, representing the highest number within any private industry segment, with 389 of these fatalities resulting from falls to a lower level.[1] The ongoing Fall Prevention Campaign run by OSHA from 2012, and in collaboration with NIOSH, highlights the constant need for regulation to prevent deaths on the construction site. This leads to direct procurement challenges, as contractors working on government-funded projects and even on state and privately-financed commercial projects have to prove their safety monitoring capability as part of the contract award process.
Proximity sensors, impact detecting smart helmets, and wearable gas monitoring devices fall within the purview of OSHA's plan-provide-train approach to safety monitoring and lead to real-time audit-able records.[2] Risk assessment is mandated by European Directive 89/391/EEC on occupational health, and some European Union countries have included IoT safety monitoring in their inspection procedures on construction sites.
Procurement requirements for public sector have shifted from being encouraged to mandatory in various leading construction markets. According to a 2024 study done by the European Commission, there are 12 countries within the European Union that have adopted legal requirements for the use of BIM in their public procurement process where BIM has been reported to achieve 10-20% cost savings in the project and minimize construction waste by up to 15%.[3]
The mandate for BIM in Ireland came into effect in January 2024, requiring the use of ISO 19650-compliant BIM in all public projects by 2028. In the USA, the proposed SMART Infrastructure Act of 2025 will set guidelines for the inclusion of digital twin technology in infrastructure permits of the federal government. This driver is estimated to contribute 2.5% to the CAGR forecast.
IoT in Construction Market Trends
Predictive maintenance is one of the most valuable use cases of AI in the construction IoT industry as this technology transforms sensor telemetry into preventive maintenance action to ensure smooth operations without expensive failures. Construction equipment such as excavators, cranes, compactors, and concrete mixers are subjected to intensive wear of their hydraulic, mechanical, and electrical systems. Traditional maintenance scheduling according to operating hours or calendar does not account for varying loads, operator skills, or environmental factors affecting equipment efficiency.
Predictive maintenance software platforms based on AI overcome this limitation by continuously collecting vibration, temperature, oil pressure, and cycle counts from sensors on board the equipment, training the algorithms on patterns of failure and providing maintenance alerts 50–200 hours before equipment failure. The Cat digital platform developed by Caterpillar Company is an example of predictive maintenance software, analysing data received from the sensors of connected equipment, it allows the service network of this company to take preventive measures to minimize unexpected downtime of equipment used in large-scale projects by 20-30%. The KOMTRAX system developed by Komatsu Company is one of the oldest examples of OEM telematics and has been monitoring hundreds of thousands of machines for many years now.
The technology is gaining momentum in the large-scale projects across North America and the Gulf region, where economies of scale make the investment in hardware worth the cost per employee (USD 200-500 per unit), and where insurers are starting to incorporate the value of the Internet of Things into their insurance pricing for safety. Companies like Skanska, Turner Construction, and other big contractors from the Gulf Cooperation Council countries have been running smart wearables programs covering 500-2,000 employees in a single project site, creating behavioural data at worksites which is used in safety prediction models.
This is part of the larger trend towards platform integration of EH&S technologies, where data created by smart wearables becomes an input for enterprise safety management platforms such as the one offered by Procore and Oracle's Aconex. In the next frontier of wearables development, data from sensors about employees' biometric characteristics are being linked to data about environment (air quality, noise, heat) to create an occupation health risk model for the site.
IoT in Construction Market Analysis
Based on offering, the IoT in construction market is divided into hardware, software and services. The hardware segment dominated the market with market share of around 48.9% and generating revenue of around USD 8.9 billion in 2025.
Based on application, the IoT in construction market is divided into safety & worker management, asset & equipment tracking, remote equipment control & automation, predictive maintenance, structural health monitoring, environmental & compliance monitoring and others. The asset & equipment tracking segment accounts for 27.4% in 2025, valued at around USD 5 billion.
Based on project, the IoT in construction market is divided into commercial, residential, infrastructure & civil and industrial. The infrastructure & civil segment is expected to grow at a strong CAGR of 13.7% between 2026 and 2035.
Based on enterprise size, the IoT in construction market is divided into large enterprises and SMEs. The large enterprises segment accounts for 70.4% in 2025, valued at around USD 12.8 billion.
The North America region is valued at USD 7 billion in 2025. The IoT in construction market is expected to grow at the CAGR of 10.6% from 2026 to 2035.
The US IoT in construction market reached USD 5.9 billion in 2025 and growing at a CAGR of 10.8% between 2026-2035.
The Europe region holds 24.8% of the IoT in construction market in 2025 and is expected to grow at a CAGR of 11.3% between 2026 and 2035.
Germany IoT in construction market is growing quickly in Europe, with a CAGR of 12.3% between 2026 and 2035.
The Asia Pacific region is expected to grow at the fastest CAGR of 14.1% between 2026 and 2035 in the IoT in construction market.
China is estimated to grow with a CAGR of 13.3% in the projected period between 2026 and 2035, in the Asia Pacific IoT in construction market.
Brazil is estimated to grow with a CAGR of 12.2% between 2026 and 2035, in the Latin America IoT in construction market.
Saudi Arabia to experience substantial growth in the Middle East and Africa IoT in construction market in 2025.
IoT in Construction Market Share
The top 7 companies in the IoT in construction industry are Autodesk, Bentley Systems, Caterpillar, Hexagon, Procore Technologies, Topcon and Trimble 26.3% of the market in 2025.
IoT in Construction Market Companies
Major players operating in the IoT in construction industry are:
7.2% market share
Collective market share in 2025 is 22.5%
IoT in Construction Industry News
The IoT in construction market research report includes in-depth coverage of the industry with estimates & forecasts in terms of revenue ($ Mn/Bn) and volume (units) from 2022 to 2035, for the following segments:
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Market, By Offering
Market, By Application
Market, By Project
Market, By Enterprise Size
The above information is provided for the following regions and countries:
Table of Contents
Chapter 1 Research Methodology
Chapter 2 Executive Summary
Chapter 3 Industry Insights
Chapter 4 Competitive Landscape, 2025
Chapter 5 Market Estimates and Forecast, By Offering, 2022 – 2035 ($ Mn, Units)
Chapter 6 Market Estimates and Forecast, By Application, 2022 – 2035 ($ Mn)
Chapter 7 Market Estimates and Forecast, By Project, 2022 – 2035 ($ Mn)
Chapter 8 Market Estimates and Forecast, By Enterprise Size, 2022 – 2035 ($ Mn)
Chapter 9 Market Estimates & Forecast, By Region, 2022 - 2035 ($Mn, Units)
Chapter 10 Company Profiles
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Research methodology, data sources & validation process
This report draws on a structured research process built around direct industry conversations, proprietary modelling, and rigorous cross-validation and not just desk research.
Our 6-step research process
1. Research design & analyst oversight
At GMI, our research methodology is built on a foundation of human expertise, rigorous validation, and complete transparency. Every insight, trend analysis, and forecast in our reports is developed by experienced analysts who understand the nuances of your market.
Our approach integrates extensive primary research through direct engagement with industry participants and experts, complemented by comprehensive secondary research from verified global sources. We apply quantified impact analysis to deliver dependable forecasts, while maintaining complete traceability from original data sources to final insights.
2. Primary research
Primary research forms the backbone of our methodology, contributing nearly 80% to overall insights. It involves direct engagement with industry participants to ensure accuracy and depth in analysis. Our structured interview program covers regional and global markets, with inputs from C-suite executives, directors, and subject matter experts. These interactions provide strategic, operational, and technical perspectives, enabling well-rounded insights and reliable market forecasts.
3. Data mining & market analysis
Data mining is a key part of our research process, contributing nearly 20% to the overall methodology. It involves analysing market structure, identifying industry trends, and assessing macroeconomic factors through revenue share analysis of major players. Relevant data is collected from both paid and unpaid sources to build a reliable database. This information is then integrated to support primary research and market sizing, with validation from key stakeholders such as distributors, manufacturers, and associations.
4. Market sizing
Our market sizing is built on a bottom-up approach, starting with company revenue data gathered directly through primary interviews, alongside production volume figures from manufacturers and installation or deployment statistics. These inputs are then pieced together across regional markets to arrive at a global estimate that stays grounded in actual industry activity.
5. Forecast model & key assumptions
Every forecast includes explicit documentation of:
✓ Key growth drivers and their assumed impact
✓ Restraining factors and mitigation scenarios
✓ Regulatory assumptions and policy change risk
✓ Technology adoption curve parameter
✓ Macroeconomic assumptions (GDP growth, inflation, currency)
✓ Competitive dynamics and market entry/exit expectations
6. Validation & quality assurance
The final stages involve human validation, where domain experts manually review filtered data to identify nuances and contextual errors that automated systems might miss. This expert review adds a critical layer of quality assurance, ensuring data aligns with research objectives and domain-specific standards.
Our triple-layer validation process ensures maximum data reliability:
✓ Statistical Validation
✓ Expert Validation
✓ Market Reality Check
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Verified data sources
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Parameters studied & evaluated
Every data point in this report is validated through primary interviews, true bottom-up modelling, and rigorous cross-checks. Read about our research process →