Artificial Intelligence (AI) In Construction Market Size By Application (Field Management, Project Management), Industry Type (Heavy Construction, Institutional Commercials) & Region for 2024-2031

 Artificial Intelligence (AI) In Construction Market Valuation – 2024-2031

The growing demand for automation, efficiency, and safety in construction projects is a key driving factor behind the rapid expansion of global Artificial Intelligence (AI) in the Construction market According to the analyst from Market Research, the Global Artificial Intelligence (AI) In Construction Market is estimated to reach a valuation of USD 13.21 Billion in 2031 over the forecast by subjugating the revenue of USD 1.53 Billion in 2024.

The adoption of AI in construction is driven by its potential to revolutionize traditional practices, improve project outcomes, and drive innovation across the industry, making it a crucial factor in shaping the global AI in the Construction market. This surge in demand enables the market to grow at a CAGR of 36% from 2024 to 2031.

Artificial Intelligence (AI) In Construction Market ValuationDefinition/ Overview

The term “Global Artificial Intelligence (AI) in Construction” refers to the application and integration of artificial intelligence technologies within the construction industry on a worldwide scale. This encompasses the use of AI-driven algorithms, machine learning techniques, robotics, and other advanced technologies to optimize various aspects of construction processes, from project planning and design to execution, monitoring, and maintenance.

AI in construction aims to enhance productivity, efficiency, safety, and sustainability by leveraging data analytics, automation, predictive modeling, and intelligent decision-making capabilities. It involves the deployment of AI-powered solutions to address challenges such as project delays, cost overruns, labor shortages, safety risks, and environmental impacts, ultimately transforming traditional construction practices and driving innovation across the global construction sector.

What are the factors that surge the demand for Artificial Intelligence (AI) In the Construction Market?

AI-powered tools can automate a wide range of repetitive tasks that slow down construction projects. This includes tasks such as scheduling, resource allocation, progress monitoring, and data entry. By automating these tasks, AI frees up human workers to focus on their core competencies, such as planning complex construction phases, solving unexpected problems, and collaborating with other stakeholders. This not only improves overall efficiency but also allows for faster project completion times and potentially lower labor costs. Additionally, AI-powered analytics can analyze project data to identify potential bottlenecks and areas for improvement. This allows construction companies to optimize their processes and make data-driven decisions that enhance productivity across the entire project lifecycle.

AI can be used to optimize material procurement and reduce waste in several ways. By analyzing historical data on material usage for similar projects, AI systems can generate accurate forecasts for material needs for the current project. This takes into account factors like project plans, building specifications, and even weather conditions that might affect material usage.  AI can also analyze real-time data from the construction site, such as sensor data tracking material consumption and inventory levels. This allows for dynamic adjustments to be made to material procurement throughout the project, ensuring there are sufficient supplies to avoid delays without overstocking and incurring unnecessary costs. Additionally, AI can be used to identify opportunities for material substitution. By analyzing material properties and performance data, AI can recommend alternative materials that meet project requirements but might be available at a lower cost or have shorter lead times.

Also, The construction industry faces a growing skilled labor shortage. AI can help mitigate this by automating certain tasks and providing support to existing workers. For instance, AI-powered robots can handle some of the more manual and repetitive tasks, freeing up skilled workers for more complex jobs.

What factors hinder the growth of the Artificial Intelligence (AI) In Construction Market?

AI thrives on data. Construction companies need to collect, store, and analyze vast amounts of project data for AI systems to function effectively. Integrating data from various sources, such as design software, project management tools, and sensor networks, can be a challenge. Additionally, concerns around data security and privacy are paramount.  Construction companies need robust cybersecurity measures to protect sensitive project data from unauthorized access or breaches.

Also, Implementing AI solutions can be expensive.  The upfront costs of acquiring AI software, hardware, and training data can be a barrier for smaller construction companies or those with limited budgets. Additionally, integrating AI systems with existing IT infrastructure and workflows can be complex and require specialized expertise.  The lack of readily available, industry-specific AI solutions can further add to the implementation challenges.

Furthermore, While AI automates tasks, it also creates a demand for a new kind of skilled workforce.  There’s a need for professionals who understand both construction processes and AI capabilities. This includes data scientists to manage and analyze AI-generated data, AI engineers to customize and maintain AI systems, and construction managers who can effectively integrate AI into their workflows.  The lack of readily available personnel with these combined skills can hinder the widespread adoption of AI in construction.

Category-Wise Acumens

How does the increasing adoption of Heavy construction impact the market growth?

According to analysis, Heavy construction is estimated to hold the largest market share during the forecast period. AI can analyze historical data on heavy construction projects to identify potential risks like weather events, equipment failures, or unforeseen geological conditions. This allows for proactive risk mitigation strategies, minimizing project disruptions and ensuring worker safety.

Additionally, Heavy construction projects require complex logistics and supply chain management to ensure the timely delivery of materials and equipment.  AI can optimize logistics by analyzing real-time data on traffic, weather, and material availability. This helps streamline deliveries, reduce costs, and prevent delays.

Furthermore, Heavy construction projects generate vast amounts of data from various sources, including sensors embedded in building materials, wearables tracking worker movement and health vitals,  equipment monitoring systems that record performance metrics and potential faults, and project management software that houses data on everything from design plans and material schedules to progress reports and safety logs.  AI excels at processing and analyzing these large, complex datasets, extracting valuable For instance, AI can analyze sensor data from concrete pours to monitor the curing process in real-time,  identifying potential issues with temperature or moisture levels that could compromise the structural integrity of the concrete.  By effectively utilizing the rich data ecosystem of a heavy construction project, AI can provide construction companies with a holistic view of their projects,  facilitating data-driven decision-making and optimizing project outcomes.

How does Project management propel the growth of Artificial Intelligence (AI) In the Construction Market?

The Project Management segment is estimated to dominate the Artificial Intelligence (AI) In the Construction Market during the forecast period. AI can analyze project data to identify potential risks early on, such as weather delays, material shortages, or labor disruptions. This allows project managers to take proactive measures to mitigate risks and prevent project delays and cost overruns. Additionally,  can also be used to monitor construction sites for safety hazards like falls, improper equipment use, or trespassing. This real-time monitoring allows for timely intervention and helps prevent accidents and injuries. This transparency allows stakeholders to track progress, identify issues early on, and hold teams accountable for project goals.

Furthermore, AI can facilitate the creation of a centralized data platform for construction projects. This platform can store all project data, including plans, specifications, progress reports, communication records, and even sensor data from embedded monitors and wearables.  This centralized access to information improves collaboration and knowledge sharing among project stakeholders.

Also. Traditional project scheduling and resource allocation can be time-consuming and prone to errors. AI can analyze historical project data and identify patterns to create more efficient schedules and optimize resource allocation across projects. This reduces delays and ensures the right people and equipment are available at the right time.

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Country/Region-wise Acumens

How is the demand for Artificial Intelligence (AI) In the Construction Market influencing the growth of the market in North America?

According to analysts, North America is estimated to dominate the Artificial Intelligence (AI) In the Construction Market during the forecast period. North American construction companies have a history of being early adopters of new technologies. This openness to innovation positions them well to leverage the potential of AI for improved efficiency and productivity.

North American construction companies are increasingly focused on delivering projects on time, within budget, and to high-quality standards. AI offers valuable tools for optimizing project schedules, resource allocation, and risk management, leading to improved project delivery outcomes. Also, Some North American governments are actively promoting the use of AI in construction through funding initiatives and pilot projects. This government support further strengthens the growth of AI in the Construction Market in the region.

What factors contribute to the potential opportunities in the Asia Pacific region?

Asia Pacific region is estimated to grow at the highest CAGR within the antibody production market during the forecast period. APAC governments are heavily invested in infrastructure development projects like high-speed rail networks, bridges, power plants, and smart cities. This surge in infrastructure spending creates a significant demand for efficient construction processes, which AI can address through automation, optimization, and data-driven decision-making. Furthermore, The construction industry in APAC is increasingly adopting robots and automation for a wide range of tasks such as welding, bricklaying, and material handling.  AI plays a crucial role in coordinating and managing these robotic systems, ensuring their safe and efficient operation.

Additionally, BIM adoption is on the rise in APAC, particularly in countries like Singapore and South Korea, driven by government initiatives and a growing recognition of the benefits that BIM offers. BIM creates a digital representation of a construction project, encompassing all the physical and functional characteristics of the building. This digital model serves as a central repository of information for all stakeholders involved in the project, from architects and engineers to contractors and facility managers. AI integrates seamlessly with BIM, leveraging the rich data generated by BIM models to optimize design, identify potential clashes, and improve overall project performance.

Competitive Landscape

The global Artificial Intelligence (AI) in Construction Market is experiencing rapid growth, driven by the increasing need for efficiency, safety, and cost-effectiveness in the construction industry.

Some of the prominent players operating in the Artificial Intelligence (AI) In the Construction Market include

• Autodesk
• IBM
• Microsoft
• Oracle
• SAP
• Built Robotics
• Daas Matters
• Trimble
• AImotive

 Latest Developments

• In February 2023, Autodesk Announced new AI features for BIM 360 focused on constructability analysis, helping identify and address potential issues earlier in the design process. Released an AI-powered tool for automating design code compliance checks, streamlining the plan review process.
• In June 2022, IBM Launched a new cloud service for AI-powered construction project risk management, allowing for proactive identification and mitigation of risks. Partnered with a leading construction contractor to pilot AI for worker safety monitoring, leveraging computer vision to detect unsafe situations.

Report Scope

Artificial Intelligence (AI) In Construction Market, By Category

 Application

• Project Management
• Field Management
• Risk Management
• Schedule Management

 Industry Type

• Heavy Construction
• Institutional Commercials
• Residential
• Others

Region

• North America
• Europe
• Asia Pacific
• Latin America
• Middle East and Africa

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