AI in Construction Market Size, Trends Analysis 2031 by Key Vendors- NVIDIA Corporation, Dassault Systèmes, Microsoft

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AI in Construction Market was recorded at USD 3.06 billion in 2023, which is estimated to be valued at USD 3.98 billion in 2024 and is projected to reach USD 31.98 billion by 2031, growing at a CAGR of 34.67% from 2024 to 2031.

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The construction industry, traditionally known for its reliance on manual labor and established processes, is undergoing a significant transformation. This transformation is largely driven by the integration of emerging technologies, with Artificial Intelligence (AI) standing out as one of the most influential forces reshaping the sector. AI's applications in construction are diverse, ranging from project management to safety improvements, cost optimization, and enhanced design capabilities. As construction companies increasingly look to innovate and enhance their competitive edge, the role of AI has become indispensable in helping the industry address its long-standing challenges.

Key Industry Developments:

November 2024 (Launch): Procore Technologies launched its AI-driven Procore AI solutions to enhance project efficiency and decision-making. Powered by Procore’s unified platform, Procore AI includes features such as Procore Agents, Insights, and Copilot, designed to streamline workflows and collaboration. This innovative solution enables smarter project execution and improved forecasting, driving success in the construction industry.

List of Key Companies in AI in Construction Market

  • Procore Technologies
  • Autodesk
  • Bentley Systems
  • Oracle
  • Trimble
  • Doxel
  • NVIDIA Corporation
  • Dassault Systèmes
  • Microsoft
  • SAP SE

AI’s Role in Improving Efficiency and Productivity

One of the most significant advantages of integrating AI into construction is its potential to significantly improve productivity. Construction projects often suffer from delays, cost overruns, and inefficiencies due to unforeseen issues, poor coordination, or outdated processes. AI can help mitigate these problems by providing data-driven insights that enable project managers to make more informed decisions.

AI’s Impact on Design and Construction Planning

AI's influence extends beyond management and safety; it is also transforming the design phase of construction projects. Through the use of generative design, AI enables architects and engineers to explore numerous design alternatives quickly and efficiently. This method allows for the creation of optimized designs that meet specific parameters such as cost, functionality, and environmental impact.

Generative design algorithms use AI to create multiple design options based on input data such as material types, environmental conditions, and functional requirements. The algorithm evaluates these designs for optimal efficiency and can even simulate real-world performance to predict how designs will hold up under various conditions. This technology not only accelerates the design process but also leads to more innovative, sustainable, and cost-effective solutions.

The Future of AI in Construction:

As AI continues to evolve, its potential in the construction industry remains vast. The ongoing advancements in machine learning, data analytics, and robotics will only enhance AI’s capabilities, enabling even greater efficiency, cost savings, and safety improvements in construction projects. However, as with any technological shift, the adoption of AI in construction requires overcoming certain challenges.

AI in construction market has been segmented as:

By Solution

Project Management

Risk Management

Schedule Management

Supply Chain Management

Others

By Deployment

Cloud-based

On-premises

Contact us:

Kings Research

Website: https://www.kingsresearch.com

E-mail: business@kingsresearch.com

Phone: (+1) 888 328 2189

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