Artificial Intelligence (AI) in Construction Market Outlook 2030: Presents Market Insights & Depth Analysis

Artificial Intelligence (AI) in construction market is anticipated to grow at a CAGR of 38.7% during the forecast period (2023-2030). The factors such as the demand for efficient planning and other processes in construction advanced technology such as artificial intelligence is driving the growth of AI in the construction market. In addition, the rising need for construction safety has shown a positive impact on the growth of the market. The adoption of drones, robots, and autonomous vehicles in the construction industry is driving the growth of AI in construction market. Companies are adopting technologies for mapping, surveying construction sites, aerial imaging, and automating construction operations. This is developing immense opportunities shortly for the growth of AI in the construction industry.

Artificial intelligence aids the owners and contractors by providing a supervised learning system from collected environmental data, building data, and material data to identify the most productive way to create a building. Construction businesses are using an artificial intelligence system that recommends to a builder the materials to be used and costs needed to create the home based on available data in a few seconds. However, factors such as an unstructured construction environment and an unskilled workforce are hampering the growth of AI in the construction market.

Construction companies are using the capabilities of AI for designing, quality measurement, safety, and management. The design applications create a machine learning algorithm to offer designers anticipatory design models that are based on the preference of customers. The AI application joint generative design models with projects to offer a preliminary schedule and estimated cost. AI can do tasks similar to those performed by human intelligence such as recognition, decision-making, and planning.

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AI in Construction Market Segmentation

By End-User

  • Residential
  • Public Infrastructure
  • Heavy Construction
  • Others

By Application

  • Planning & Design
  • Safety and Efficiency
  • Equipment
  • Monitoring & Maintenance

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Regional Analysis           

North America 

  • United States
  • Canada

Europe

  • UK
  • Germany
  • Spain
  • France
  • Italy
  • Rest of Europe

Asia-Pacific

  • India
  • China
  • Japan
  • South Korea
  • Rest of APAC

Rest of the World

  • Latin America
  • Middle East and Africa

Company Profiles

  • ALICE Technologies, Inc.
  • Applied Project Experience Pty. Ltd. (Damstra Technology)
  • Assignar, Pty. Ltd.
  • Autodesk Inc.
  • Built Robotics, Inc.
  • Deepomatic
  • Doxel, Inc.
  • eSUB, Inc.
  • IBM Corp.
  • AI, Inc.
  • INTSITE, Ltd.
  • Jaroop
  • ai
  • Microsoft, Inc.
  • Oracle, Inc.
  • Predii, Inc.
  • Renoworks Software, Inc.
  • SAP SE
  • Io, Inc.
  • Volvo AB

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