ICT
ICT

Artificial Intelligence in Construction Market Size, Share & Analysis Report By Offering, By End Use, By Stage, By Deployment Type, By Industry Type, By Business Size and Regional Forecasts, 2023 - 2030

Report ID : 3026
Date : 2024-01-31
No of Pages :
Format : PDF

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Report Overview

The Artificial Intelligence in Construction Market was valued at 550.07 Billion in 2022 and expected to grow at CAGR of 35.14% over forecast period.

AI technologies can automate time-consuming and repetitive operations including data processing, project scheduling, and material management. AI improves overall efficiency and productivity in construction projects by streamlining operations. AI can analyze data to optimize the distribution of resources such as personnel, equipment, and materials. This optimization eliminates waste, maximizes resource use, and saves money for building companies.

Overall, artificial intelligence (AI) is transforming the construction sector by automating, optimizing, and providing data-driven insights into numerous areas of the construction process. As AI technology advances, its use in construction is likely to increase, resulting in more efficient, sustainable, and innovative construction techniques.

Offering Outlook

Based on Offering, the AI in construction Market is segmented into services and solutions. Solutions segment accounted for largest share in 2022. Adoption of Artificial Intelligence (AI) solutions in the construction sector is being pushed by a variety of factors that address industry difficulties and provide potential for improvement.

The construction sector has workforce productivity and efficiency difficulties. AI-powered solutions automate repetitive operations, optimize workflows, and streamline procedures, resulting in higher productivity and less reliance on manual labor. AI provides real-time building site monitoring using sensors, cameras, and drones. This enables project managers to monitor progress, spot problems early, and make data-driven choices to keep projects on schedule.

Several variables that simplify the deployment and exploitation of AI technology drive the adoption of Artificial Intelligence (AI) services in the construction industry. AI service providers provide specialist knowledge and guidance in the implementation of AI technologies in the construction industry. They have the knowledge and experience to find appropriate AI applications and tailor solutions to match the needs of unique projects.

End-Use Outlook

Based on End-Use, Artificial Intelligence in Construction Market is segmented into pre-construction, and Pre-construction accounted for largest share in 2022.

The adoption of Artificial Intelligence (AI) in the construction industry's pre-construction phase is being pushed by a number of variables that address the obstacles and opportunities in the early stages of project development. AI enables data analysis from various sources, including historical project data, market trends, and supplier information. This data-driven approach enhances decision-making during the pre-construction phase, leading to more accurate estimations and planning.

Several factors are driving the adoption of Artificial Intelligence (AI) in the construction industry's post-construction phase, including the problems and potential in managing and sustaining finished projects. Predictive maintenance is enabled by AI by evaluating data from sensors and equipment to discover possible faults before they escalate. This aids in anticipating maintenance requirements and decreasing downtime in completed buildings and infrastructure.

Overall, artificial intelligence (AI) in post-construction plays an important role in optimizing building operations, increasing occupant experiences, assuring safety and security, and improving the overall sustainability and performance of completed buildings. As AI technology advances, its use in the post-construction phase is projected to increase, altering how finished buildings and infrastructure are managed and maintained.

Deployment Type Outlook

Based on Deployment, Artificial Intelligence in Construction Market is segmented into on-premises, and cloud. Cloud accounted for largest share in 2022. Several factors are driving the use of Cloud Artificial Intelligence (AI) in the construction industry, which leverages the benefits of cloud computing and AI technology to improve building operations. Cloud AI encourages real-time collaboration among project stakeholders by enabling teams to access and share data, AI models, and project updates from any location with an internet connection.

Overall, the use of cloud computing and AI technologies in construction has various advantages, such as cost-effectiveness, scalability, real-time collaboration, and greater productivity. Cloud AI technology is projected to gain traction in the construction industry as it matures, altering how construction projects are planned, completed, and managed.

Business Size Outlook

Based on Industry type, Artificial Intelligence in construction market is segmented into Small & Medium-size, and large enterprises. Large enterprises accounted for largest in 2022. Many complex jobs and processes are involved in large-scale construction projects. AI-powered automation and optimization can improve workflow efficiency and productivity across the project lifecycle. Predictive analytics powered by AI can identify and reduce potential risks associated with large-scale projects, allowing project managers to make educated decisions and avoid costly delays and interruptions.

The use of Artificial Intelligence (AI) in small and medium-sized construction projects is motivated by a variety of variables that address the unique needs and limits of these projects.  AI solutions for small and medium-sized construction projects are frequently designed to be cost-effective, allowing smaller businesses to have access to AI capabilities without making major upfront investments.

Industry Type Outlook

Based on Industry type, Artificial Intelligence in construction market is segmented into residential, heavy construction and others. Heavy construction accounted for largest in 2022. The use of artificial intelligence (AI) in heavy construction projects is being driven by a number of variables that address the constraints and complexities inherent in large-scale and heavy construction projects. Large-scale operations and intricate activities are involved in heavy construction projects. Automation and optimization powered by artificial intelligence boost operational efficiency and overall production in heavy construction.

AI in residential building has various advantages, such as greater design efficiency, cost optimization, increased sustainability, and individualized client experiences. As AI technology advances, its use in residential building will likely increase, altering how homes are designed, built, and customized for homeowners.

Regional Outlook

North America is emerged as leading market for Artificial Intelligence in Construction Market in 2022. The AI in Construction market in North America is being pushed by a combination of technology preparedness, government assistance, the pursuit of innovation and efficiency, and desire for sustainable and smart construction methods. As AI technology advances, its use in construction is projected to expand, significantly changing the North American construction scene.

Asia Pacific is expected to be the second-most prominent area in terms of Artificial Intelligence in Construction Market share. The rapid economic expansion of the Asia Pacific area, government support for technology adoption, a focus on sustainability, and the need to manage construction difficulties effectively are driving the Asia Pacific AI in Construction market. As AI technology advances, its integration in building across Asia Pacific is projected to increase, changing the region's construction processes in the future.

Artificial Intelligence in Construction Market Report Scope

Report Attribute Details
Market  Value in 2022 USD 540.12Million
Forecast in 2030 USD 1.57 Billion
CAGR CAGR of 35.14% from 2023 to 2030
Base Year of forecast 2022
Historical 2018-2021
Units Revenue in USD million and CAGR from 2023 to 2030
Report  Coverage Revenue forecast, Industry outlook, competitive landscape, growth factors, and trends
Segments Scope Offering, End Use, Stage, Deployment Type, Industry Type,  Business Size
Regions Covered North America, Europe, Asia Pacific, CSA and MEA
Key Companies profiled IBM, Microsoft, Oracle, SAP, Alice Technologies
eSUB, SmarTVid.Io, DarKTrace, Aurora Computer Services, Autodesk, Jaroop,Lili.Ai, Predii

Global Artificial Intelligence in Construction Market, Report Segmentation

Artificial Intelligence in Construction Market, By Offering

  • Services
  • Solutions

Artificial Intelligence in Construction Market, By End-use

  • Pre-construction
  • Post-construction

Artificial Intelligence in Construction Market, By Deployment

  • On-premises
  • Cloud

Artificial Intelligence in Construction Market, By Business Size

  • Small & Medium-size
  • Large enterprises

Artificial Intelligence in Construction Market, By Industry Type

  • Residential
  • Heavy construction
  • Others

Artificial Intelligence in Construction Market, Regional Outlook

North America

  • U.S.
  • Canada
  • Mexico

Europe

  • Germany
  • UK
  • Spain
  • Russia
  • France
  • Italy

Asia Pacific

  • China
  • Japan
  • India
  • South Korea
  • Australia

CSA

  • Brazil
  • Argentina  

MEA

  • UAE
  • Saudi Arabia
  • South Africa

TABLE OF CONTENTS

EXECUTIVE SUMMARY

1       Market Overview

2       Market Drivers

3       Market Restraints

4       Market Challenges

5       Market Opportunities

5.3        Porter’s Five Analysis

5.4        Covid-19 Impact on AI in construction industry

6       Artificial Intelligence in Construction Market, By Offering

6.1        Services

6.2        Solutions

7       Artificial Intelligence in Construction Market, By End-use

7.1        Pre-construction

7.2        Post-construction

8       Artificial Intelligence in Construction Market, By Deployment

8.1        On-premises

8.2        Cloud

9       Artificial Intelligence in Construction Market, By Business Size

9.1        Small & Medium-size

9.2        large enterprises

10         Artificial Intelligence in Construction Market, By Industry type

10.1      Residential

10.2      Heavy construction

10.3      Others

11         Major Developments and Strategic Initiatives

12         Market Positioning

13         Market Share Analysis

14         North America

14.1      U.S.

14.2      Canada

14.3      Mexico

15         Europe

15.1      Germany

15.2      UK

15.3      Spain

15.4      Russia

15.5      France

15.6      Italy

16         Asia Pacific

16.1      China

16.2      Japan

16.3      India

16.4      South Korea

16.5      Australia

17         CSA

17.1      Brazil

17.2      Argentina

18         MEA

18.1      UAE

18.2      Saudi Arabia

18.3      South Africa

19         Company Profiles

19.1      Microsoft

19.1.1       Company Overview

19.1.2       Financial Performance

19.1.3       Product Portfolio

19.1.4       Strategic Initiatives

20         Oracle

21         eSUB

22         DarKTrace

23         Autodesk

24         Predii

25         Assignar

26         Bentley Systems

27         Building System Planning

28         Coins Global

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