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市場調查報告書
商品編碼
2151551

建築業人工智慧（AI）市場規模、佔有率和趨勢分析報告：按產品、應用、階段、部署、產業、組織規模、地區和細分市場預測（2026-2033 年）

Artificial Intelligence In Construction Market Size, Share & Trends Analysis Report By Offering, By Application, By Stage, By Deployment, By Industry, By Organization Size, By Region, And Segment Forecasts, 2026 - 2033
出版日期: | 出版商: Grand View Research | 英文 120 Pages | 商品交期: 2-10個工作天內

價格
簡介目錄

據估計，2025 年全球建築業人工智慧 (AI) 市場價值為 52 億美元，預計從 2026 年的 66 億美元成長到 2033 年的 350 億美元，2026 年至 2033 年的年複合成長率（CAGR）為 26.9%。

北美市場處於領先地位，預計到 2025 年將佔全球銷售額的 40.0%。這一成長得益於人工智慧在建築業的諸多優勢，例如透過基於歷史數據預測預算來防止成本超支，以及協助創建與進度計劃相符的預測模型。

按部署方式分類：到 2025 年，雲端採用細分市場將佔市場收入的約 56.0%，成為最大的細分市場。

按行業分類：預計到 2025 年，住宅行業將佔銷售額的 43.0% 左右，推動市場成長。

按組織規模分類：到 2025 年，大型企業細分市場將引領市場，約佔銷售佔有率的 70.0%。

這提高了大型建設項目成本效益。此外，人工智慧（AI）增強了基於3D模型的流程，減輕了工程師、施工專業人員和建築師的工作量。透過利用機器人採集施工現場的3D掃描數據，並將這些數據提供給管理部門以協助解決現場問題，專案規劃的準確性得以提高。

推動該市場發展的另一個主要動力是現場風險管理的監控。這極具價值，因為它能確保風險因素管理的準確性，使承包商和分包商能夠專注於現場的生產性工作。此外，先進的人工智慧應用，例如自主施工機械，透過自動化砌磚和混凝土澆築等勞動密集任務，提高了現場效率。同時，人工智慧驅動的勞動力最佳化透過智慧化的工作量分配、績效分析和資源配置，有助於緩解人手不足。人工智慧在建築業的多方面優勢正在創造對相關產品和服務的巨大需求，從而推動市場擴張。

人工智慧透過處理來自行動裝置、無人機和建築資訊模型（BIM）系統等多種資訊來源的數據，顯著提升了數據品質和學習效率。這種數據驅動的洞察力能夠最佳化組織運作。例如，在建設產業，異地工廠中由人工智慧驅動的機器人預製構件，縮短了專案工期，使現場團隊能夠專注於核心施工任務。此外，人工智慧的分析能力還能提供關於建築物、道路和橋樑等結構性能的寶貴竣工後洞察，從而幫助制定維護策略和最佳化資產管理。

目錄

第1章：調查方法和範圍

第2章執行摘要

第3章：全球建築業人工智慧（AI）市場：變數、趨勢與範圍

  • 市場概況及未來展望
  • 市場規模和成長前景
  • 市場動態
  • 一款用於分析全球建築業人工智慧（AI）市場的工具。

第4章：全球建築業人工智慧（AI）市場：按產品/服務分類的估算與趨勢分析

  • 全球建築業人工智慧（AI）市場：按產品/服務分類的趨勢分析（2025 年和 2033 年）
  • 解決方案
  • 服務

第5章：全球建築業人工智慧（AI）市場：基於應用的估算和趨勢分析

  • 全球建築業人工智慧（AI）市場：基於應用的趨勢分析（2025 年和 2033 年）
  • 資產管理
  • 專案管理
  • 風險管理
  • 日程管理
  • 供應鏈管理
  • 其他

第6章：全球建築業人工智慧（AI）市場：分階段估算與趨勢分析

  • 全球建築業人工智慧（AI）市場：分階段趨勢分析，2025 年和 2033 年
  • 施工階段
  • 施工後

第7章：全球建築業人工智慧（AI）市場：按部署方式分類的估算與趨勢分析

  • 全球建築業人工智慧（AI）市場：按部署方式分類的趨勢分析（2025 年和 2033 年）
  • 雲
  • 現場

第8章：全球建築業人工智慧（AI）市場：行業特定估算和趨勢分析

  • 全球建築業人工智慧（AI）市場：產業特定趨勢分析（2025 年和 2033 年）
  • 住宅
  • 公共基礎設施
  • 重型建築
  • 其他

第9章：全球建築業人工智慧（AI）市場：按企業規模分類的估算與趨勢分析

  • 全球建築業人工智慧（AI）市場：關鍵波動分析（2025 年和 2033 年）
  • 中小企業
  • 大公司

第10章：全球建築業人工智慧（AI）市場：區域估算與趨勢分析

  • 2025 年和 2033 年全球建築業人工智慧 (AI) 市場佔有率（按地區分類）
  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 英國
    • 德國
    • 法國
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 韓國
    • 澳洲
  • 拉丁美洲
    • 巴西
    • 阿根廷
  • 中東和非洲
    • 沙烏地阿拉伯
    • UAE
    • 南非

第11章 競爭格局

  • 主要市場參與企業的最新趨勢及影響分析
  • 公司分類
  • 企業熱力圖分析
  • 公司簡介
    • Autodesk Inc.
    • International Business Machines Corporation
    • Microsoft
    • Oracle
    • SAP SE
    • Trimble Inc.
    • ALICE Technologies Inc.
    • BuildingConnected
    • The Access Group
    • Doxel.
簡介目錄
Product Code: GVR-4-68038-139-9

The global artificial intelligence in construction market size was valued at USD 5.2 billion in 2025 and is projected to grow from USD 6.6 billion in 2026 to USD 35.0 billion in 2033, at a CAGR of 26.9% from 2026 to 2033. North America dominated the market, accounting for a revenue share of 40.0% in 2025. This growth is driven by AI's numerous benefits in the construction sector, such as preventing cost overruns by predicting budgets based on historical data and assisting in creating predictive models according to timelines.

Based on deployment: The cloud deployment segment accounted for the largest market revenue share of approximately 56.0% in 2025.

By industry: The resident industry segment dominated the market with a revenue share of approximately 43.0% in 2025.

By organization size: The large enterprise organizations segment dominated the market with a revenue share of approximately 70.0% in 2025.

This makes mega-construction projects more cost-effective. Artificial intelligence (AI) also enhances 3D model-based processes, reducing the workload of engineers, construction professionals, and architects. It improves project planning by using robots that capture 3D scans of construction sites and feed the data to management to help address on-site problems.

Another major driving force of this market is the monitored risk control on job sites, which is valuable because it provides assurance in controlling risk factors, allowing contractors and subcontractors to focus on productive work on the sites. Moreover, advanced AI applications, such as autonomous construction machinery, enhance on-site efficiency by automating labor-intensive tasks like bricklaying and concrete pouring. Simultaneously, AI-driven workforce optimization addresses labor shortages through intelligent workload distribution, performance analysis, and resource allocation. AI's multifaceted benefits in construction drive substantial demand for related products and services, fueling market expansion.

AI significantly enhances data quality and learning by processing information from diverse sources, including mobile devices, drones, and Building Information Modeling (BIM) systems. These data-driven insights optimize organizational operations. For instance, in the construction industry, AI-powered robots in off-site factories accelerate project timelines by prefabricating components, allowing on-site teams to focus on core construction activities. Moreover, AI's analytical capabilities provide valuable post-construction insights into the performance of structures such as buildings, roads, and bridges, informing maintenance strategies and optimizing asset management.

Global Artificial Intelligence in Construction Market Report Segmentation

This report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends and opportunities in each of the sub-segments from 2021 to 2033. For this study, Grand View Research has segmented the global artificial intelligence in construction market report based on offering, application, stage, deployment, industry, organization size, and region:

  • Offering Outlook (Revenue, USD Billion, 2021 - 2033)

Solution

Service

  • Application Outlook (Revenue, USD Billion, 2021 - 2033)

Asset Management

Project Management

Risk Management

Schedule Management

Supply Chain Management

Others

  • Stage Outlook (Revenue, USD Billion, 2021 - 2033)

Pre-construction

Construction-stage

Post-construction

  • Deployment Outlook (Revenue, USD Billion, 2021 - 2033)

Cloud

On-premises

  • Industry Outlook (Revenue, USD Billion, 2021 - 2033)

Residential

Public Infrastructure

Heavy Construction

Others

  • Organization Size Outlook (Revenue, USD Billion, 2021 - 2033)

Small & Medium-sized Enterprises (SMEs)

Large Enterprises

  • Regional Outlook (Revenue, USD Billion, 2021 - 2033)

North America

    • U.S.
    • Canada
    • Mexico

Europe

    • Germany
    • UK
    • France

Asia Pacific

    • China
    • Japan
    • India
    • South Korea
    • Australia

Latin America

    • Brazil

Middle East and Africa

    • Saudi Arabia
    • UAE
    • South Africa

Table of Contents

Chapter 1. Methodology and Scope

  • 1.1. Market Segmentation and Scope
  • 1.2. Market Definitions
  • 1.3. Research Methodology
    • 1.3.1. Information Procurement
    • 1.3.2. Information or Data Analysis
    • 1.3.3. Market Formulation & Data Visualization
    • 1.3.4. Data Validation & Publishing
  • 1.4. Research Scope and Assumptions
    • 1.4.1. List of Data Sources

Chapter 2. Executive Summary

  • 2.1. Market Outlook
  • 2.2. Segment Outlook
  • 2.3. Competitive Insights

Chapter 3. Global Artificial Intelligence (AI) In Construction Market Variables, Trends, & Scope

  • 3.1. Market Introduction/Lineage Outlook
  • 3.2. Market Size and Growth Prospects (USD Million)
  • 3.3. Market Dynamics
    • 3.3.1. Market Drivers Analysis
    • 3.3.2. Market Restraints Analysis
  • 3.4. Global Artificial Intelligence (AI) In Construction Market Analysis Tools
    • 3.4.1. Porter's Analysis
      • 3.4.1.1. Bargaining power of the suppliers
      • 3.4.1.2. Bargaining power of the buyers
      • 3.4.1.3. Threats of substitution
      • 3.4.1.4. Threats from new entrants
      • 3.4.1.5. Competitive rivalry
    • 3.4.2. PESTEL Analysis
      • 3.4.2.1. Political landscape
      • 3.4.2.2. Economic and Social landscape
      • 3.4.2.3. Technological landscape
      • 3.4.2.4. Environmental landscape
      • 3.4.2.5. Legal landscape

Chapter 4. Global Artificial Intelligence (AI) In Construction Market: Offering Estimates & Trend Analysis

  • 4.1. Segment Dashboard
  • 4.2. Global Artificial Intelligence (AI) In Construction Market: Offering Movement Analysis, USD Million, 2025 & 2033
  • 4.3. Solution
    • 4.3.1. Solution Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 4.4. Service
    • 4.4.1. Service Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)

Chapter 5. Global Artificial Intelligence (AI) In Construction Market: Application Estimates & Trend Analysis

  • 5.1. Segment Dashboard
  • 5.2. Global Artificial Intelligence (AI) In Construction Market: Application Movement Analysis, USD Million, 2025 & 2033
  • 5.3. Asset Management
    • 5.3.1. Asset Management Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 5.4. Project Management
    • 5.4.1. Project Management Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 5.5. Risk Management
    • 5.5.1. Risk Management Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 5.6. Schedule Management
    • 5.6.1. Schedule Management Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 5.7. Supply Chain Management
    • 5.7.1. Supply Chain Management Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 5.8. Others
    • 5.8.1. Others Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)

Chapter 6. Global Artificial Intelligence (AI) In Construction Market: Stage Estimates & Trend Analysis

  • 6.1. Segment Dashboard
  • 6.2. Global Artificial Intelligence (AI) In Construction Market: Stage Movement Analysis, USD Million, 2025 & 2033
    • 6.2.1. Pre-Construction Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 6.3. Construction-Stage
    • 6.3.1. Construction-Stage Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 6.4. Post-Construction
    • 6.4.1. Post-Construction Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)

Chapter 7. Global Artificial Intelligence (AI) In Construction Market: Deployment Estimates & Trend Analysis

  • 7.1. Segment Dashboard
  • 7.2. Global Artificial Intelligence (AI) In Construction Market: Deployment Movement Analysis, USD Million, 2025 & 2033
  • 7.3. Cloud
    • 7.3.1. Cloud Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 7.4. On-Premises
    • 7.4.1. On-Premises Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)

Chapter 8. Global Artificial Intelligence (AI) In Construction Market: Industry Estimates & Trend Analysis

  • 8.1. Segment Dashboard
  • 8.2. Global Artificial Intelligence (AI) In Construction Market: Industry Movement Analysis, USD Million, 2025 & 2033
  • 8.3. Residential
    • 8.3.1. Residential Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 8.4. Public Infrastructure
    • 8.4.1. Public Infrastructure Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 8.5. Heavy Construction
    • 8.5.1. Heavy Construction Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 8.6. Others
    • 8.6.1. Others Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)

Chapter 9. Global Artificial Intelligence (AI) In Construction Market: Organization Size Estimates & Trend Analysis

  • 9.1. Segment Dashboard
  • 9.2. Global Artificial Intelligence (AI) In Construction Market: Lead Movement Analysis, USD Million, 2025 & 2033
  • 9.3. Small & Medium-sized Enterprises (SMEs)
    • 9.3.1. Small & Medium-sized Enterprises (SMEs) Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 9.4. Large Enterprises
    • 9.4.1. Large Enterprises Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)

Chapter 10. Global Artificial Intelligence (AI) In Construction Market: Regional Estimates & Trend Analysis

  • 10.1. Global Artificial Intelligence (AI) In Construction Market Share, By Region, 2025 & 2033, USD Million
  • 10.2. North America
    • 10.2.1. North America Artificial Intelligence (AI) In Construction Market Estimates and Forecasts, 2021 - 2033 (USD Million)
    • 10.2.2. U.S.
      • 10.2.2.1. U.S. Artificial Intelligence (AI) In Construction Market Estimates and Forecasts, 2021 - 2033 (USD Million)
    • 10.2.3. Canada
      • 10.2.3.1. Canada Artificial Intelligence (AI) In Construction Market Estimates and Forecasts, 2021 - 2033 (USD Million)
    • 10.2.4. Mexico
      • 10.2.4.1. Mexico Artificial Intelligence (AI) In Construction Market Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 10.3. Europe
    • 10.3.1. Europe Artificial Intelligence (AI) In Construction Market Estimates and Forecasts, 2021 - 2033 (USD Million)
    • 10.3.2. UK
      • 10.3.2.1. UK Artificial Intelligence (AI) In Construction Market Estimates and Forecasts, 2021 - 2033 (USD Million)
    • 10.3.3. Germany
      • 10.3.3.1. Germany Artificial Intelligence (AI) In Construction Market Estimates and Forecasts, 2021 - 2033 (USD Million)
    • 10.3.4. France
      • 10.3.4.1. France Artificial Intelligence (AI) In Construction Market Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 10.4. Asia Pacific
    • 10.4.1. Asia Pacific Artificial Intelligence (AI) In Construction Market Estimates and Forecasts, 2021 - 2033 (USD Million)
    • 10.4.2. China
      • 10.4.2.1. China Artificial Intelligence (AI) In Construction Market Estimates and Forecasts, 2021 - 2033 (USD Million)
    • 10.4.3. Japan
      • 10.4.3.1. Japan Artificial Intelligence (AI) In Construction Market Estimates and Forecasts, 2021 - 2033 (USD Million)
    • 10.4.4. India
      • 10.4.4.1. India Artificial Intelligence (AI) In Construction Market Estimates and Forecasts, 2021 - 2033 (USD Million)
    • 10.4.5. South Korea
      • 10.4.5.1. South Korea Artificial Intelligence (AI) In Construction Market Estimates and Forecasts, 2021 - 2033 (USD Million)
    • 10.4.6. Australia
      • 10.4.6.1. Australia Artificial Intelligence (AI) In Construction Market Estimates and Forecasts, 2021 - 2033 (USD Million)
  • 10.5. Latin America
    • 10.5.1. Latin America Artificial Intelligence (AI) In Construction Market Estimates and Forecasts, 2021 - 2033 (USD Million)
    • 10.5.2. Brazil
      • 10.5.2.1. Brazil Artificial Intelligence (AI) In Construction Market Estimates and Forecasts, 2021 - 2033 (USD Million)
    • 10.5.3. Argentina
  • 10.6. Middle East and Africa
    • 10.6.1. Middle East and Africa Artificial Intelligence (AI) In Construction Market Estimates and Forecasts, 2021 - 2033 (USD Million)
    • 10.6.2. Saudi Arabia
      • 10.6.2.1. Saudi Arabia Artificial Intelligence (AI) In Construction Market Estimates and Forecasts, 2021 - 2033 (USD Million)
    • 10.6.3. UAE
      • 10.6.3.1. UAE Artificial Intelligence (AI) In Construction Market Estimates and Forecasts, 2021 - 2033 (USD Million)
    • 10.6.4. South Africa
      • 10.6.4.1. South Africa Artificial Intelligence (AI) In Construction Market Estimates and Forecasts, 2021 - 2033 (USD Million)

Chapter 11. Competitive Landscape

  • 11.1. Recent Developments & Impact Analysis by Key Market Participants
  • 11.2. Company Categorization
  • 11.3. Company Heat Map Analysis
  • 11.4. Company Profiles
    • 11.4.1. Autodesk Inc.
      • 11.4.1.1. Participant's Overview
      • 11.4.1.2. Financial Performance
      • 11.4.1.3. Product Benchmarking
      • 11.4.1.4. Recent Developments/ Strategic Initiatives
    • 11.4.2. International Business Machines Corporation
      • 11.4.2.1. Participant's Overview
      • 11.4.2.2. Financial Performance
      • 11.4.2.3. Product Benchmarking
      • 11.4.2.4. Recent Developments/ Strategic Initiatives
    • 11.4.3. Microsoft
      • 11.4.3.1. Participant's Overview
      • 11.4.3.2. Financial Performance
      • 11.4.3.3. Product Benchmarking
      • 11.4.3.4. Recent Developments/ Strategic Initiatives
    • 11.4.4. Oracle
      • 11.4.4.1. Participant's Overview
      • 11.4.4.2. Financial Performance
      • 11.4.4.3. Product Benchmarking
      • 11.4.4.4. Recent Developments/ Strategic Initiatives
    • 11.4.5. SAP SE
      • 11.4.5.1. Participant's Overview
      • 11.4.5.2. Financial Performance
      • 11.4.5.3. Product Benchmarking
      • 11.4.5.4. Recent Developments/ Strategic Initiatives
    • 11.4.6. Trimble Inc.
      • 11.4.6.1. Participant's Overview
      • 11.4.6.2. Financial Performance
      • 11.4.6.3. Product Benchmarking
      • 11.4.6.4. Recent Developments/ Strategic Initiatives
    • 11.4.7. ALICE Technologies Inc.
      • 11.4.7.1. Participant's Overview
      • 11.4.7.2. Financial Performance
      • 11.4.7.3. Product Benchmarking
      • 11.4.7.4. Recent Developments/ Strategic Initiatives
    • 11.4.8. BuildingConnected
      • 11.4.8.1. Participant's Overview
      • 11.4.8.2. Financial Performance
      • 11.4.8.3. Product Benchmarking
      • 11.4.8.4. Recent Developments/ Strategic Initiatives
    • 11.4.9. The Access Group
      • 11.4.9.1. Participant's Overview
      • 11.4.9.2. Financial Performance
      • 11.4.9.3. Product Benchmarking
      • 11.4.9.4. Recent Developments/ Strategic Initiatives
    • 11.4.10. Doxel.
      • 11.4.10.1. Participant's Overview
      • 11.4.10.2. Financial Performance
      • 11.4.10.3. Product Benchmarking
      • 11.4.10.4. Recent Developments/ Strategic Initiatives