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建設業界における人工知能の市場規模、シェア、成長分析:コンポーネント別、用途別、建設段階別、展開別、産業別、組織規模別、地域別 - 産業予測 2025~2032年

Artificial Intelligence in Construction Market Size, Share, and Growth Analysis, By Component, By Application, By Construction Stage, By Deployment, By Industry, By Organization Size, By Region - Industry Forecast 2025-2032


出版日
発行
SkyQuest
ページ情報
英文 197 Pages
納期
3~5営業日
価格
価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=146.99円
建設業界における人工知能の市場規模、シェア、成長分析:コンポーネント別、用途別、建設段階別、展開別、産業別、組織規模別、地域別 - 産業予測 2025~2032年
出版日: 2025年02月09日
発行: SkyQuest
ページ情報: 英文 197 Pages
納期: 3~5営業日
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  • 概要
  • 目次
概要

建設業界における人工知能の2023年の市場規模は8億9,266万米ドルで、2024年の11億9,706万米ドルから2032年には125億1,834万米ドルに拡大し、予測期間(2025年~2032年)のCAGRは34.1%で成長する見通しです。

建設分野における世界の人工知能(AI)市場は、あらゆるエンジニアリングおよび建設レベルにわたって従来の慣行に革命をもたらすため、大幅な成長が見込まれています。AIと機械学習を統合することで、企業は生産性と業務効率を高め、設計から資産管理までのプロセスを変革しています。この技術シフトにより、企業はよりスマートで環境に優しい建設に対する需要の高まりに応えることができ、業界内での競争力を高めることができます。AI技術は作業を自動化し、合理化されたプロセスのためにジェネレーティブ・デザイン・ツールを活用し、リアルタイムのプロジェクト意思決定を促進します。さらに、AI主導のシステムと予測分析により、建物の管理とメンテナンスが強化されます。費用対効果の高い生産に重点を置くことで、無駄を最小限に抑え、資源配分を最適化し、プロジェクトコストの削減と有効性の向上を実現します。今後、AIは建設セクターの変革を推進する上で極めて重要な役割を果たすと期待されています。

目次

イントロダクション

  • 調査の目的
  • 調査範囲
  • 定義

調査手法

  • 情報調達
  • 二次と一次データの方法
  • 市場規模予測
  • 市場の前提条件と制限

エグゼクティブサマリー

  • 世界市場の見通し
  • 供給と需要の動向分析
  • セグメント別機会分析

市場力学と見通し

  • 市場概要
  • 市場規模
  • 市場力学
    • 促進要因と機会
    • 抑制要因と課題
  • ポーターの分析

主な市場の考察

  • 重要成功要因
  • 競合の程度
  • 主な投資機会
  • 市場エコシステム
  • 市場の魅力指数(2024年)
  • PESTEL分析
  • マクロ経済指標
  • バリューチェーン分析
  • 価格分析

建設業界における人工知能市場規模:コンポーネント別

  • 市場概要
  • ソリューション
  • サービス

建設業界における人工知能市場規模:用途別

  • 市場概要
  • 資産運用管理
  • プロジェクト管理
  • リスク管理
  • スケジュール管理
  • サプライチェーン管理
  • その他

建設業界における人工知能市場規模:建設段階別

  • 市場概要
  • 建設前
  • 建設段階
  • 建設後

建設業界における人工知能市場規模:展開別

  • 市場概要
  • クラウド
  • オンプレミス

建設業界における人工知能市場規模:産業別

  • 市場概要
  • 住宅
  • 公共インフラ
  • 重機建設
  • その他

建設業界における人工知能市場規模:組織規模別

  • 市場概要
  • 中小企業
  • 大企業

建設業界における人工知能市場規模

  • 北米
    • 米国
    • カナダ
  • 欧州
    • ドイツ
    • スペイン
    • フランス
    • 英国
    • イタリア
    • その他欧州地域
  • アジア太平洋地域
    • 中国
    • インド
    • 日本
    • 韓国
    • その他アジア太平洋地域
  • ラテンアメリカ
    • ブラジル
    • その他ラテンアメリカ地域
  • 中東・アフリカ
    • GCC諸国
    • 南アフリカ
    • その他中東・アフリカ

競合情報

  • 上位5社の比較
  • 主要企業の市場ポジショニング(2024年)
  • 主な市場企業が採用した戦略
  • 最近の市場動向
  • 企業の市場シェア分析(2024年)
  • 主要企業の企業プロファイル
    • 企業の詳細
    • 製品ポートフォリオ分析
    • 企業のセグメント別シェア分析
    • 収益の前年比比較(2022~2024年)

主要企業プロファイル

  • Autodesk(United States)
  • Bentley Systems(United States)
  • Procore Technologies(United States)
  • Bluebeam(United States)
  • Matterport(United States)
  • PlanGrid(United States)(Acquired by Autodesk)
  • Building Radar(Germany)
  • Plangrid(United States)
  • Oracle(United States)
  • Microsoft(United States)
  • IBM(United States)
  • Google(United States)
  • Amazon(United States)
  • Siemens(Germany)
  • Dassault Systemes(France)
  • Bentley Systems(United States)
  • Hexagon(Sweden)

結論と提言

目次
Product Code: SQMIG45A2145

Artificial Intelligence in Construction Market size was valued at USD 892.66 Million in 2023 and is poised to grow from USD 1197.06 Million in 2024 to USD 12518.34 Million by 2032, growing at a CAGR of 34.1% during the forecast period (2025-2032).

The global artificial intelligence (AI) in construction market is poised for substantial growth as it revolutionizes traditional practices across all engineering and construction levels. By integrating AI and machine learning, companies are enhancing productivity and operational efficiencies, transforming processes from design to asset management. This technological shift allows businesses to meet the rising demand for smarter, greener construction, positioning them competitively within the industry. AI technologies automate tasks, utilize generative design tools for streamlined processes, and facilitate real-time project decision-making. Furthermore, AI-driven systems and predictive analytics enhance building management and maintenance. The focus on cost-effective production minimizes waste and optimizes resource allocation, resulting in reduced project costs and increased efficacy. Looking ahead, AI is expected to play a pivotal role in driving the construction sector's transformation.

Top-down and bottom-up approaches were used to estimate and validate the size of the Artificial Intelligence In Construction market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.

Artificial Intelligence In Construction Market Segments Analysis

The global artificial intelligence in construction market is segmented by Offering, Application, Stage, Deployment Type, Industry Type, Organization Size, and Regional. Based on Offering the market is segmented as, Solution, Service. Based on Application the market is segmented as, Asset Management, Project Management, Risk Management, Schedule Management, Supply Chain Management, Others. Based on Stage the market is segmented as, Pre-Construction, Construction-Stage, Post-Construction. Based on Industry Type, the market is segmented as, Residential, Public Infrastructure, Heavy Construction, Others. Based on Organization Size the market is segmented as, Small & Medium-sized Enterprises (SMEs), Large Enterprises. Based on Regional the market is segmented as, North America, Asia Pacific, Latin America, and Middle East & Africa (MEA).

Driver of the Artificial Intelligence In Construction Market

The growth of the Artificial Intelligence in Construction market is primarily driven by its ability to automate processes and predict maintenance needs, leading to optimal resource allocation and significant cost reductions. By enhancing operational efficiency, AI minimizes delays, reduces waste of both manpower and materials, and ensures more effective utilization of resources. This streamlined approach not only lowers building expenses but also improves overall project management, making AI a crucial factor in advancing the construction industry. As a result, the integration of artificial intelligence is becoming increasingly essential for companies aiming to enhance productivity and drive growth in this sector.

Restraints in the Artificial Intelligence In Construction Market

The Artificial Intelligence in Construction market faces significant restraints primarily due to concerns surrounding data privacy and security. Implementing AI solutions typically requires the collection and analysis of vast amounts of sensitive information, including site surveillance footage, employee data, and detailed project specifics. This dependence on personal data raises alarm about potential vulnerabilities and the risk of cyber-attacks, making construction organizations apprehensive about adopting AI technologies. Additionally, the challenge of complying with stringent privacy regulations further complicates the implementation process, limiting the extent to which AI can be integrated into construction practices.

Market Trends of the Artificial Intelligence In Construction Market

The artificial intelligence (AI) in construction market is witnessing a significant trend towards the integration of robotics and the Internet of Things (IoT). This convergence enhances real-time monitoring of resources, project progress, and equipment utilization on construction sites through IoT-enabled devices. The fusion of AI with robotics not only streamlines operations but also automates labor-intensive tasks such as bricklaying, material handling, and 3D printing, leading to increased efficiency and reduced labor costs. As smart construction becomes the norm, stakeholders are increasingly investing in these advanced technologies to optimize productivity and project delivery timelines, signaling a transformative shift in the industry.

Table of Contents

Introduction

  • Objectives of the Study
  • Scope of the Report
  • Definitions

Research Methodology

  • Information Procurement
  • Secondary & Primary Data Methods
  • Market Size Estimation
  • Market Assumptions & Limitations

Executive Summary

  • Global Market Outlook
  • Supply & Demand Trend Analysis
  • Segmental Opportunity Analysis

Market Dynamics & Outlook

  • Market Overview
  • Market Size
  • Market Dynamics
    • Drivers & Opportunities
    • Restraints & Challenges
  • Porters Analysis
    • Competitive rivalry
    • Threat of substitute
    • Bargaining power of buyers
    • Threat of new entrants
    • Bargaining power of suppliers

Key Market Insights

  • Key Success Factors
  • Degree of Competition
  • Top Investment Pockets
  • Market Ecosystem
  • Market Attractiveness Index, 2024
  • PESTEL Analysis
  • Macro-Economic Indicators
  • Value Chain Analysis
  • Pricing Analysis

Global Artificial Intelligence in Construction Market Size by Component & CAGR (2025-2032)

  • Market Overview
  • Solution
  • Service

Global Artificial Intelligence in Construction Market Size by Application & CAGR (2025-2032)

  • Market Overview
  • Asset Management
  • Project Management
  • Risk Management
  • Schedule Management
  • Supply Chain Management
  • Others

Global Artificial Intelligence in Construction Market Size by Construction Stage & CAGR (2025-2032)

  • Market Overview
  • Pre-construction
  • Construction-stage
  • Post-construction

Global Artificial Intelligence in Construction Market Size by Deployment & CAGR (2025-2032)

  • Market Overview
  • Cloud
  • On-premises

Global Artificial Intelligence in Construction Market Size by Industry & CAGR (2025-2032)

  • Market Overview
  • Residential
  • Public Infrastructure
  • Heavy Construction
  • Others

Global Artificial Intelligence in Construction Market Size by Organization Size & CAGR (2025-2032)

  • Market Overview
  • Small & Medium-sized Enterprises (SMEs)
  • Large Enterprises

Global Artificial Intelligence in Construction Market Size & CAGR (2025-2032)

  • North America (Component, Application, Construction Stage, Deployment, Industry, Organization Size)
    • US
    • Canada
  • Europe (Component, Application, Construction Stage, Deployment, Industry, Organization Size)
    • Germany
    • Spain
    • France
    • UK
    • Italy
    • Rest of Europe
  • Asia Pacific (Component, Application, Construction Stage, Deployment, Industry, Organization Size)
    • China
    • India
    • Japan
    • South Korea
    • Rest of Asia-Pacific
  • Latin America (Component, Application, Construction Stage, Deployment, Industry, Organization Size)
    • Brazil
    • Rest of Latin America
  • Middle East & Africa (Component, Application, Construction Stage, Deployment, Industry, Organization Size)
    • GCC Countries
    • South Africa
    • Rest of Middle East & Africa

Competitive Intelligence

  • Top 5 Player Comparison
  • Market Positioning of Key Players, 2024
  • Strategies Adopted by Key Market Players
  • Recent Developments in the Market
  • Company Market Share Analysis, 2024
  • Company Profiles of All Key Players
    • Company Details
    • Product Portfolio Analysis
    • Company's Segmental Share Analysis
    • Revenue Y-O-Y Comparison (2022-2024)

Key Company Profiles

  • Autodesk (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Bentley Systems (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Procore Technologies (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Bluebeam (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Matterport (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • PlanGrid (United States) (Acquired by Autodesk)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Building Radar (Germany)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Plangrid (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Oracle (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Microsoft (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • IBM (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Google (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Amazon (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Siemens (Germany)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Dassault Systemes (France)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Bentley Systems (United States)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Hexagon (Sweden)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments

Conclusion & Recommendations