Artificial Intelligence (AI) in Construction – Thematic Research

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Access and explore in-depth trends and insights in ourArtificial Intelligence (AI) in Construction’ report:

  • Extensive coverage and analysis of relevant companies’ positions in the AI theme. This includes leading adopters, vendors, and specialist AI vendors in construction.
  • An overview of the AI theme, and its value chain comprising four segments: human AI interaction, decision-making AI, motion, and creation.
  • Construction challenges, such as ESG, labor shortages, and safety, and an impact assessment of AI on the construction industry, address these challenges.
  • Three case studies, outlining market-leading use cases of AI in construction to solve specific challenges such as operational technology vulnerabilities and secure procurement processes.
  • Comprehensive industry analysis, including forecasts for AI revenues to 2030, and insight from GlobalData’s Job Analytics and Social Media Analytics databases.
  • It contains details of M&A deals driven by the AI theme, and a timeline highlighting AI milestones and events in construction.

 How is the ‘Artificial Intelligence (AI) in Construction’ report different from other reports in the market?

  • This report will help you to understand AI and its potential impact on the construction sector.
  • Benchmark your company against your competitors, by comparing how prepared 46 companies in the construction sector are for AI disruption.
  • Identify and differentiate between the leading AI vendors and formulate an adoption plan for your company.
  • Position yourself for future success by investing in the right AI technologies. Cut through the noise with GlobalData’s priority ratings for each AI technology for each segment of the industry (conceptual design, feasibility studies, planning and permitting, financing, design and engineering, construction, and operations and maintenance).
  • Develop relevant and credible sales and marketing messages for construction companies by understanding key industry challenges and where AI use cases are most useful.
  • Identify attractive investment targets by understanding which companies are most advanced in the themes that will determine future success in the construction industry.

 We recommend this valuable source of information to anyone involved in:

  • Contractors Including Civil Works, Electrical, HVAC, and Others
  • Consultants/Designers
  • Building Material Merchants/Players
  • Construction Equipment Suppliers
  • Management Consultants and Investment Banks
  • Portfolio Managers/Buy-side Firms
  • Insurance Companies

To get a snapshot of the artificial intelligence (AI) in construction thematic report, download a free report sample

AI in Construction Thematic Report Overview

The construction industry has been slower than other sectors to implement AI as it is a difficult industry to digitalize. The vast and complex data sets needed for building information management (BIM) have been historically difficult to process. However, AI adoption in the construction industry is gaining traction and will continue to grow over the coming years. This is becoming possible due to developments in chips and cloud computing. AI applications in the construction industry can facilitate planning, design, modeling, safety, site monitoring and maintenance, and emissions tracking.

The Artificial Intelligence (AI) in Construction thematic intelligence report assesses how AI, combined with other emerging technologies, can be used across the construction value chain. It provides an overview of the current landscape, as well as key players, while also highlighting opportunities for the use of AIs in the future. The report provides an industry-specific analysis based on GlobalData databases and surveys.

Report Pages 70
Regions Covered Global
Market Size (2022) $81.3 billion
CAGR (2022-2030) >35%
Historical Period 2013-2022
Forecast Period 2023-2030
Value Chain ·       Hardware

·       Data Management

·       Foundational AI

·       Advanced AI Capabilities

·       Delivery

Leading Adopters ·       AECOM

·       Balfour Beatty

·       Bechtel

Leading AI Vendors ·       Alibaba

·       Alphabet

·       Amazon

Specialist AI Vendors ·       ALICE Technologies

·       Autodesk

·       Bentley Systems

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AI in Construction – Industry Analysis

The AI market was valued at $81.3 billion in 2022. The market is expected to achieve a CAGR of more than 35% between 2022 and 2030. The AI consulting and support services category is currently the largest market segment as companies try to find the best way to integrate AI into their business processes and understand how AI applications can add value. AI conversational platforms are the fastest-growing segment. This growth will partly be driven by the significant improvement in language models since the release of GPT-3 by OpenAI in 2020.

Global AI Market Revenue Segmented by Platform and Services 2022-2030 ($ Billion)

Global AI Market Revenue Segmented by Platform and Services 2022-2030 ($ Billion)

For more insights into the AI in construction market forecast, download a free report sample

AI in Construction - Value Chain Analysis

The AI value chain is split into five segments which are hardware, data management, foundational AI, advanced AI capabilities, and delivery.

Hardware: The hardware value chain can be further divided into semiconductors, cameras, sensors and lasers, and servers, among others. The AI hardware stack is not too dissimilar from any IT system, although parts such as semiconductors, cameras, sensors, and edge equipment are very AI-specific. On the other hand, servers, storage, and networking equipment are standard and not designed specifically for AI use cases.

AI Value Chain Analysis

AI Value Chain Analysis

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Leading AI Adopters

Some of the leading construction companies currently deploying AI are:

  • Balfour Beatty
  • Bechtel

Leading AI Vendors

Some of the leading players within the AI theme are:

  • Alibaba
  • Alphabet (parent company of Google, Waymo, and DeepMind)
  • Amazon

Specialist AI Vendors in Construction

Some of the specialist AI vendors in the construction sector are:

  • ALICE Technologies
  • Autodesk
  • Bentley Systems

To know more about the leading AI adopters, vendors, and specialist vendors, download a free report sample

Construction Sector Scorecard

At GlobalData, we use a scorecard approach to predict tomorrow’s leading companies within each sector. Our sector scorecard has three screens: a thematic screen, a valuation screen, and a risk screen.

  • The thematic screen ranks companies based on overall leadership in the 10 themes that matter most to their industry, generating a leading indicator of future performance.
  • The valuation screen ranks our universe of companies within a sector based on selected valuation metrics.
  • The risk screen ranks companies within a particular sector based on overall investment risk.

Construction Sector Scorecard – Thematic Screen

Construction Sector Scorecard – Thematic Screen

To know more about the sector scorecards, download a free report sample

Segments Covered in the Report

AI Value Chain Outlook (Value, $ billion, 2013-2030)

  • Hardware
  • Data Management
  • Foundational AI
  • Advanced AI Capabilities
  • Delivery

Key Highlights

The construction industry is widely considered one of the least digitized industries and has been slower to adopt AI than other sectors. This is due to a number of unique challenges the industry faces. Historically, computers did not have the processing power necessary to crunch the data needed for BIM, as it is often vast and unstructured. Access to this data was also notably inconvenient. However, in 2023, due to developments in computer power, semiconductors, and cloud computing, which facilitates data sharing, AI implementation has grown considerably.

Deep Dream
Alphabet (DeepMind Google)
Alphabet (Google,Waymo)
Big Sleep
Face (Bloom)
GM (Cruise)
GPT-4, MuseNet
Hyundai (Boston Dynamics)
Larsen & Toubro
Megvii (Face++)
Meta (ESMFold)
Midea (KUKA)
Shutterstock (Amper)
Thales Group
WOMBO (Dream)

Table of Contents

  • 1. Executive Summary
  • 2. Players
  • 3. Construction Challenges
  • 4. The Impact of AI on Construction
  • 5. Case Studies
  • 6. AI Timeline
  • 7. Market Size and Growth Forecasts
  • 8. Signals

    • 8.1. Mergers and acquisitions
    • 8.2. Patent trends
    • 8.3. Company filings trends
    • 8.4. Hiring trends

  • 9. AI Value Chain

    • 9.1. Hardware
    • 9.2. Data management
    • 9.3. Foundational AI
    • 9.4. Advanced AI capabilities
    • 9.5. Delivery

  • 10. Companies
  • 11. Sector Scorecards

    • 11.1. Construction sector scorecard

  • 12. Glossary
  • 13. Further Reading
  • 14. Our Thematic Research Methodology
  • 15. About GlobalData
  • 16. Contact Us

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