Global Artificial Intelligence (AI) in Construction Market2019 Growth, COVID Impact, Trends Analysis Report 2025

The Artificial Intelligence (AI) in construction is anticipated to grow at a CAGR 35.7% during the forecast period 2019-2025. The factor such as the demand for efficient planning and other processes in construction advance technology such as artificial intelligence is driving the growth of the 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 the AI in construction market. The companies are adopting technologies for mapping, surveying construction sites, aerial imaging and automate the construction operations. This is developing immense opportunities in the near future for the growth of the AI in the construction industry.

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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 business is using an artificial intelligence system that recommends to a builder regarding the materials to be used and costs needed to create the home based on available data in a few seconds. However, the factor such as unstructured construction environment and unskilled workforce are hampering the growth of the AI in the construction market.

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The construction companies are using the capabilities of the AI for designing, quality measurement, safety, and management. The design applications create a machine learning algorithm to offer designers along with 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 has the ability to do tasks similar to that performed by human intelligence such as recognition, decision making and planning.

Global AI in Construction Market Segmentation
By End-User

• Residential
• Public Infrastructure
• Heavy Construction
• Others

By Application

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

Regional Analysis

• North America
• US
• Canada
• Europe
• UK
• Germany
• Italy
• Spain
• France
• Rest of Europe
• Asia-Pacific
• China
• India
• Japan
• Rest of Asia-Pacific
• Rest of the World

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.
• INDUS.AI, Inc.
• INTSITE, Ltd.
• Jaroop
• Kwant.ai
• Microsoft, Inc.
• Oracle, Inc.
• Predii, Inc.
• Renoworks Software, Inc.
• SAP SE
• Smartvid.Io, Inc.
• Volvo AB

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