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AI In Construction - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts 2019 - 2029

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    Report

  • 100 Pages
  • February 2024
  • Region: Global
  • Mordor Intelligence
  • ID: 5938924
The AI In Construction Market size is estimated at USD 3.99 billion in 2024, and is expected to reach USD 11.85 billion by 2029, growing at a CAGR of 24.31% during the forecast period (2024-2029).

Artificial intelligence in the construction industry is experiencing a digital transformation. Focusing on technologies like artificial intelligence and machine learning at every stage of engineering and construction, from design, preconstruction, construction, and operations to asset management, is developing the construction industry's potential to new levels.

Key Highlights

  • As a technological shift emerges in the construction industry, it is becoming beneficial for the companies that upgrade the technology. Thus, adopting AI products and services in construction is expected to contribute considerably to market growth in the coming years.
  • Reducing production costs is a driving factor for adopting AI in the construction industry. Artificial intelligence (AI) technologies offer several benefits to help construction companies streamline operations, improve efficiency, and reduce costs.
  • The demand for enhanced safety measures at construction sites is a significant driver for adopting AI in the construction industry. Construction sites are inherently high-risk environments, and accidents or safety incidents can severely affect workers and project timelines. AI technologies offer several capabilities that can improve safety and mitigate risks in construction.
  • Artificial intelligence has recently benefited the construction industry, especially in preconstruction phases like planning and designing, enabling advanced capabilities for building information modeling and generative design. AI is being used to monitor the interactions between workers, machinery, and items at the job site in real time and notify managers of any potential safety issues, design flaws, or productivity problems.
  • The construction industry relies heavily on skilled labor for various tasks, and the need for more qualified workers can pose challenges when integrating AI technologies. A lack of competent labor in the global construction industry restrains the desire for automation based on AI in the construction sector. Due to stringent migration regulations in many regions, especially in North America and Europe, the supply chain crisis has created a shortage of skilled workers. The Associated Builders and Contractors (ABC) forecasts that the industry will experience a shortage of about 665,000 construction workers in 2022. This forecast is based on organizational analysis and labor demands based on variables such as inflation, construction spending, etc.
  • The COVID-19 pandemic significantly impacted the construction sector, which is sensitive to economic cycles but recovered over time. The workforce shortage got worse after the COVID-19 global lockdown and the complete shutdown of construction activity. It was expected to drive construction companies to improve efficiency by adopting AI solutions.

Artificial Intelligence (AI) in Construction Market Trends

Planning and Design Application Segment is Expected to Hold Significant Market Share

  • The application of AI in the planning and design segment of the construction industry offers several benefits, ranging from enhanced efficiency and accuracy to improved decision-making. Planning and design are crucial phases of construction. Any flaws or errors committed at this stage of development may incur a severe loss to the contractors in the later stages of the project. Such scenarios lead to many budget constraints and delays in project completion.
  • The adoption of Building Information Modeling in the construction industry has emerged as a new way to create the 3D models that construction professionals rely on to design, build, and repair accurately over the past few years. BIM platform programmers are improving the capabilities of BIM with smart, AI-driven features. In September 2022, construction technology startup Toric, a data platform used by construction, engineering, and similar sectors that enabled anyone to integrate, transform, model, and visualize data without writing code, raised USD 22 million in funding. As part of the investment, Toric will offer new integrations for Autodesk Construction Cloud and Autodesk's BIM design tools, such as Revit, Navisworks, and Civil 3D.
  • BIM applies various tools and technologies, including machine learning, to help teams avoid a common, costly issue: duplicated work. Sub-teams working on shared projects often spend time creating models that other sub-teams have already made. With BIM, users "teach" machines to use algorithms to generate designs with multiple variations. As the AI builds models, it learns from each iteration until it comes up with the ideal model.
  • Generative design involves using AI algorithms to explore various design possibilities based on defined parameters and constraints. AI can generate and evaluate multiple design options against performance criteria such as structural integrity, energy efficiency, or cost-effectiveness. This approach allows designers and architects to quickly generate innovative and optimized designs that meet project requirements.
  • VR and AR technologies offer immersive and interactive experiences that aid in visualizing and communicating design concepts. AI can enhance VR and AR applications by generating realistic virtual environments, incorporating real-time data, and enabling real-time interactions. Designers, architects, and clients can use VR and AR to walk through virtual buildings, assess spatial relationships, and make design decisions based on realistic simulations.
  • The number of housing construction projects plays a significant role in driving AI's planning and design segments in the construction market. As housing construction projects increase, the demand for efficient and effective planning and design processes also rises. AI technologies offer valuable capabilities that can support and enhance these segments. According to e-Stat (Japan) and MLIT (Japan), approximately 859.5 thousand housing starts were initiated in Japan in 2022. This represented an increase of 0.4 percent compared to the previous year. The highest figure during the surveyed period was recorded in 2013.


North America is Expected to Hold Significant Market Share

  • The North America market for artificial intelligence (AI) in construction has been experiencing significant growth in recent years. The region has been at the forefront of technological advancements and digital transformation in the construction industry.
  • The North American market for AI in construction is one of the largest and fastest-growing globally. The market is driven by increasing construction activities, demand for advanced technologies, and a focus on improving productivity and efficiency. The market encompasses various AI applications across different stages of the construction lifecycle, including planning, design, construction, and operations.
  • North America, particularly the United States, has been a hub for technological innovation in the construction industry. Many regional companies have been at the forefront of developing and implementing AI technologies for construction applications. The market has witnessed the adoption of AI-driven solutions such as predictive analytics, computer vision, robotics, and machine learning across construction processes.
  • North America has a robust infrastructure development sector, including residential, commercial, and public infrastructure projects. The region experiences urbanization and population growth, driving the demand for new construction projects. AI technologies are increasingly integrated into construction processes to optimize project planning, design efficiency, and operational management.
  • North America has a well-defined regulatory environment that governs construction practices and safety standards. The regulatory landscape influences the adoption of AI in construction, as compliance with regulations and standards is crucial. AI technologies can help construction companies adhere to regulatory requirements, enhance safety measures, and improve overall compliance in the industry.
  • As the North American construction industry embraces digital transformation, AI technologies are expected to improve productivity, safety, and project outcomes. The market is characterized by a growing ecosystem of AI technology providers, construction firms, and research institutions working together to drive innovation and advance the adoption of AI in construction practices.


Artificial Intelligence (AI) in Construction Industry Overview

  • The artificial intelligence market in construction is fragmented with the presence of major players like Autodesk Inc., Building System Planning Inc., Smartvid.io Inc., Doxel Inc., and Bentley Systems Inc. Players in the market are adopting strategies such as partnerships, collaborations, and acquisitions to enhance their application offerings and gain a sustainable competitive advantage.
  • In April 2023, Autodesk and VC Group agreed to accelerate digital transformation in the construction industry. Under the recent Government's Decision No. 258/Q-TTg on the approval of the Roadmap for the Application of Building Information Modeling (BIM) in the Construction Sector, Autodesk is expected to provide guidance and assistance to VC Group in their efforts to adopt technologies and digitize design and construction consultancy.
  • In June 2022, Siemens, a pioneer in accelerated graphics and artificial intelligence (AI), and NVIDIA, a pioneer in infrastructure, building technology, and transportation, collaborated to establish the Industrial Metaverse.

Additional Benefits:

  • The market estimate (ME) sheet in Excel format
  • 3 months of analyst support


This product will be delivered within 2 business days.

Table of Contents

1 INTRODUCTION
1.1 Study Assumptions and Market Definition
1.2 Scope of the Study
2 RESEARCH METHODOLOGY3 EXECUTIVE SUMMARY
4 MARKET INSIGHTS
4.1 Market Overview
4.2 Industry Attractiveness - Porter's Five Forces Analysis
4.2.1 Bargaining Power of Suppliers
4.2.2 Bargaining Power of Consumers
4.2.3 Threat of New Entrants
4.2.4 Threat of Substitute Products
4.2.5 Intensity of Competitive Rivalry
4.3 Industry Value Chain Analysis
4.4 Assessment of Impact of COVID-19 on the Industry
5 TECHNOLOGY SNAPSHOT6 RELEVANT USE-CASES & CASE STUDIES
7 MARKET DYNAMICS
7.1 Market Drivers
7.1.1 Increasing Need to Reduce Production Costs
7.1.2 Demand for More Safety Measures at Construction Sites
7.2 Market Challenges
7.2.1 Scarcity of Skilled Employees and Workers
8 MARKET SEGMENTATION
8.1 By Application
8.1.1 Planning and Design
8.1.2 Safety
8.1.3 Autonomous Equipment
8.1.4 Monitoring and Maintenance
8.2 By Geography
8.2.1 North America
8.2.2 Europe
8.2.3 Asia-Pacific
8.2.4 Rest of the World
9 COMPETITIVE LANDSCAPE
9.1 Company Profiles
9.1.1 Autodesk Inc.
9.1.2 Building System Planning Inc.
9.1.3 Smartvid.io Inc.
9.1.4 Doxel Inc.
9.1.5 Bentley Systems Inc.
9.1.6 PTC Inc.
9.1.7 IBM Corporation
9.1.8 NVIDIA Corporation
9.1.9 Oracle Corporation
9.1.10 Alice Technologies Inc.
9.1.11 Dassault Systems SE
9.1.12 Lurtis Rules, S.L.
9.1.13 Microsoft Corporation
9.1.14 eSUB Inc.
10 INVESTMENT ANALYSIS11 MARKET OPPORTUNITIES AND FUTURE TRENDS

Methodology

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