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建築人工智慧市場規模、佔有率、成長、全球產業分析、區域洞察以及 2026 年至 2034 年的預測。

AI in Construction Market Size, Share, Growth and Global Industry Analysis, Regional Insights and Forecast to 2026-2034
出版日期: | 出版商: Fortune Business Insights Pvt. Ltd. | 英文 160 Pages | 商品交期: 2-3個工作天內

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建築人工智慧市場成長要素

2025年全球建築業人工智慧市場規模為48.6億美元，預計將從2026年的60.2億美元成長至2034年的355.3億美元，預測期內複合年成長率（CAGR）將達到24.80%。北美地區引領全球市場，預計2025年將佔39.10%的市場佔有率，這主要得益於該地區快速的數位轉型、對人工智慧技術的大力投資以及眾多大型建築技術供應商的存在。

人工智慧 (AI) 正在透過改進專案規劃、風險評估、品管、流程管理和資源管理，變革建築業。機器學習、電腦視覺、預測分析和自然語言處理等人工智慧技術正在幫助建築公司實現重複性任務的自動化，降低營運成本，提高工人安全，並按時完成專案。數位化施工方法、建築資訊模型 (BIM) 和雲端運算的日益普及，進一步加速了市場成長。

此外，新冠疫情加速了人工智慧在建築業的應用。各公司越來越依賴人工智慧驅動的遠端監控、預測性維護、自主設備和數位化協作工具，以在最大限度減少施工現場人員接觸的同時，保持生產效率。

生成式人工智慧的影響

生成式人工智慧透過改進建築設計、專案進度安排、模擬和資源最佳化，為建築人工智慧市場創造了巨大的機會。先進的人工智慧演算法可以根據預先定義的參數產生多種建築設計方案，幫助建築師縮短設計時間，同時提高創造力和效率。

此外，生成式人工智慧能夠實現預測性進度安排、自動化資源分配、風險預測和永續性分析。建設公司擴大利用人工智慧模擬在施工前評估結構性能、能源效率和專案可行性，從而降低成本並最大限度地減少施工風險。

最新市場趨勢

推動建築業人工智慧市場發展的關鍵趨勢之一是預測分析和智慧風險管理解決方案的日益普及。建設公司正在採用人工智慧平台，分析專案進度、預算、員工生產力、設備利用率和供應鏈績效，以便在風險演變成代價高昂的問題之前將其識別出來。

雲端人工智慧的普及應用是另一個關鍵趨勢，它能夠實現承包商、建築師、工程師和專案經理之間的即時協作，同時也能提高可擴展性並降低基礎設施成本。對智慧建築資訊模型（BIM）解決方案日益成長的需求也推動了市場成長。

市場促進因素

對提高效率、生產力和最佳化成本的日益成長的需求，持續成長要素。建築專案涉及眾多相關人員，工期緊迫，工作流程複雜。人工智慧可以幫助實現專案管理自動化、最佳化進度安排、提高材料利用率並加強品管。

對智慧城市、基礎設施現代化、商業建築和數位化施工技術的投資不斷增加，進一步加速了人工智慧的應用。此外，人工智慧驅動的安全監控系統透過即時電腦視覺分析識別危險，從而減少工傷事故，提高施工現場的安全性和生產效率。

市場限制因素

儘管成長前景強勁，但仍有許多挑戰限制著市場擴張。高昂的實施成本、建築資料的分散性、網路安全問題以及隱私問題，仍然是中小建築公司面臨的重大障礙。

此外，人工智慧的普及速度緩慢，因為許多機構仍然依賴傳統的施工方法。標準化施工數據的匱乏以及人們對人工智慧驅動決策所帶來的法律責任的擔憂，也是阻礙市場成長的因素。

市場區隔

從解決方案的角度來看，市場區隔包括專案管理、風險管理、進度安排、供應鏈管理和其他領域。預計到2026年，專案管理領域將引領市場，佔33.06%的市場佔有率，主要得益於人工智慧在工作流程自動化、專案監控和資源最佳化方面的應用日益廣泛。風險管理領域預計在預測期內將實現最快的成長。

從部署方式來看，市場分為雲端部署和本地部署。由於雲端部署具有卓越的可擴展性、柔軟性和低基礎設施成本，預計到2026年，雲端部署將佔市場佔有率的66.78%。

從施工階段來看，市場可分為開工前、施工中、完工後三個階段。預計到2026年，施工中階段將佔市場佔有率的43.19%，而開工前階段預計將成為成長最快的階段，這主要得益於人工智慧驅動的專案估算和規劃工具的日益普及。

依建築類型分類，市場可分為住宅、工業、商業和基礎設施四大類。預計到2026年，商業建築領域將以34.05%的市場佔有率引領市場，主要得益於辦公大樓、商業綜合體和智慧基礎設施投資的增加。住宅建築預計將實現最高的成長率。

區域分析

預計到2025年，北美將以39.10%的市佔率引領全球建築人工智慧市場，市場規模達19億美元，並在2026年成長至23.6億美元。積極的人工智慧研究、政府的支持性舉措、數位基礎設施以及廣泛的商業建設活動持續推動該地區的成長。預計到2026年，美國市場規模將達到18.1億美元。

預計到2025年，歐洲將佔全球市場佔有率的31.20%，市場規模達到15.2億美元，並預計在2026年達到18.9億美元。永續性舉措、數位化建造標準以及BIM技術的廣泛應用將繼續推動該地區的成長。德國和英國仍然是主要的市場貢獻者。

預計亞太地區到 2025 年將達到 11.2 億美元，到 2026 年將成長至 13.9 億美元。中國、印度、日本和東南亞的快速都市化、基礎設施建設、智慧城市投資以及政府主導的數位轉型計畫預計將在預測期內推動最高的複合年成長率。

預計到2025年，中東和非洲市場規模將達到2億美元，到2026年將達到2.4億美元，主要得益於智慧基礎設施項目和城市發展。預計到2026年，拉丁美洲市場規模將達到1.5億美元，這主要得益於人工智慧驅動的建築技術的逐步引入，預計2025年市場規模將達到1.2億美元。

主要市場參與企業

全球建築人工智慧市場的主要參與者包括 Autodesk、SAP SE、Bentley Systems、ALICE Technologies、Dassault Systèmes、Oracle Corporation、Trimble、Komatsu、Procore Technologies 和 Doxel。這些公司正大力投資於人工智慧驅動的建築軟體、基於雲端的專案管理平台、數位孿生、預測分析以及策略合作夥伴關係，以鞏固其市場地位。

近期產業趨勢

2024 年 4 月，SAP 為其供應鏈平台引入了人工智慧增強功能，透過即時分析幫助建築公司提高生產力和製造效率。

2024 年 2 月，Cadence Design Systems 擴大了與 Dassault Systèmes 的合作關係，將 AI 驅動的 PCB 和機械設計​​功能整合到 3DEXPERIENCE 平台中。

2023 年 11 月，Autodesk 發布了“Autodesk AI」，為建築行業的專業人士提供智慧設計輔助、自動化和生成功能。

2023 年 11 月，Trimble 將 Azure AI 文件智慧整合到其建築 ERP 平台中，以實現發票處理自動化並簡化工作流程。

2023 年 9 月，Versatile 與 Procore Technologies 合作，利用人工智慧驅動的現場資料收集技術實現施工進度報告的自動化。

目錄

第1章：引言

第2章摘要整理

第3章 市場動態

  • 宏觀經濟和微觀經濟指標
  • 促進因素、阻礙因素、機會、趨勢
  • 生成式人工智慧的影響

第4章 競爭情勢

  • 主要公司採取的商業策略
  • 主要公司綜合SWOT分析
  • 全球建築業人工智慧：主要公司市佔率排名（2025 年）

第5章：2021-2034年全球建築業人工智慧市場規模的估計與預測

  • 主要發現
  • 透過解決方案
    • 專案管理
    • 風險管理
    • 日程管理
    • 供應鏈管理
    • 其他（品管、安全管理等）
  • 不同的發展
    • 雲
    • 現場
  • 施工階段
    • 施工開始前
    • 建造
    • 完成後
  • 依建築類型
    • 住宅
    • 產業
    • 商業的
    • 基礎設施
  • 按地區
    • 北美洲
    • 南美洲
    • 歐洲
    • 中東和非洲
    • 亞太地區

第6章：2021-2034年北美建築業人工智慧市場規模的估計與預測

  • 國家
    • 美國
    • 加拿大
    • 墨西哥

第7章 南美洲建築業人工智慧市場規模的估算與預測（2021-2034年）

  • 國家
    • 巴西
    • 阿根廷
    • 南美洲其他地區

第8章：2021-2034年歐洲建築業人工智慧市場規模的估計與預測

  • 國家
    • 英國
    • 德國
    • 法國
    • 義大利
    • 西班牙
    • 俄羅斯
    • 比荷盧經濟聯盟
    • 北歐的
    • 其他歐洲國家

第9章：2021-2034年中東與非洲建築業人工智慧市場規模的估算與預測

  • 國家
    • 土耳其
    • 以色列
    • GCC
    • 北非
    • 南非
    • 其他中東和非洲

第10章：2021-2034年亞太地區建築業人工智慧市場規模的估計與預測

  • 國家
    • 中國
    • 日本
    • 印度
    • 韓國
    • ASEAN
    • 大洋洲
    • 其他亞太地區

第11章：十大公司簡介

  • Autodesk
  • SAP SE
  • Bentley Systems
  • ALICE Technologies Inc.
  • Dassault Systemes
  • Oracle Corporation
  • Trimble Inc.
  • Komatsu
  • Procore Technologies, Inc.
  • Doxel

第12章要點

Product Code: FBI109848

Growth Factors of AI in construction Market

The global AI in construction market was valued at USD 4.86 billion in 2025 and is projected to grow from USD 6.02 billion in 2026 to USD 35.53 billion by 2034, registering a CAGR of 24.80% during the forecast period. North America dominated the global market with a 39.10% share in 2025, supported by rapid digital transformation, strong investments in AI technologies, and the presence of major construction technology providers.

Artificial Intelligence (AI) is transforming the construction industry by improving project planning, risk assessment, quality control, scheduling, and resource management. AI-powered technologies such as machine learning, computer vision, predictive analytics, and natural language processing help construction companies automate repetitive tasks, reduce operational costs, improve worker safety, and complete projects on time. The increasing adoption of digital construction practices, Building Information Modeling (BIM), and cloud computing is further accelerating market expansion.

The COVID-19 pandemic also accelerated AI adoption across the construction sector. Companies increasingly relied on AI-powered remote monitoring, predictive maintenance, autonomous equipment, and digital collaboration tools to maintain productivity while minimizing physical contact on construction sites.

Generative AI Impact

Generative AI is creating significant opportunities for the AI in construction market by improving architectural design, project scheduling, simulation, and resource optimization. Advanced AI algorithms can generate multiple building designs based on predefined parameters, helping architects reduce design time while improving creativity and efficiency.

Generative AI also enables predictive scheduling, automated resource allocation, risk forecasting, and sustainability analysis. Construction firms are increasingly using AI simulations to evaluate structural performance, energy efficiency, and project feasibility before execution, reducing costs and minimizing construction risks.

Latest Market Trends

One of the major trends driving the AI in construction market is the growing use of predictive analytics and intelligent risk management solutions. Construction companies are adopting AI platforms capable of analyzing project schedules, budgets, workforce productivity, equipment utilization, and supply chain performance to identify risks before they become costly issues.

Cloud-based AI deployment is another major trend, enabling real-time collaboration between contractors, architects, engineers, and project managers while improving scalability and reducing infrastructure costs. Growing demand for intelligent Building Information Modeling (BIM) solutions is also supporting market growth.

Market Drivers

The increasing need for improved efficiency, productivity, and cost optimization remains the primary growth driver for the AI in construction market. Construction projects involve multiple stakeholders, strict deadlines, and complex workflows. AI helps automate project management, optimize scheduling, improve material utilization, and enhance quality control.

Growing investments in smart cities, infrastructure modernization, commercial buildings, and digital construction technologies are further accelerating AI adoption. AI-powered safety monitoring systems also reduce workplace accidents by identifying hazards through real-time computer vision analysis, making construction sites safer and more productive.

Market Restraints

Despite strong growth prospects, several challenges continue to limit market expansion. High implementation costs, fragmented construction data, cybersecurity concerns, and privacy issues remain major barriers for small and medium-sized construction firms.

In addition, many organizations continue to rely on traditional construction methods, resulting in slower AI adoption. Limited availability of standardized construction data and concerns regarding legal liability associated with AI-based decision-making also restrain market growth.

Market Segmentation

Based on solution, the market is segmented into project management, risk management, schedule management, supply chain management, and others. The project management segment is expected to dominate with a 33.06% market share in 2026, driven by increasing adoption of AI for workflow automation, project monitoring, and resource optimization. Risk management is projected to register the fastest growth during the forecast period.

By deployment, the market is divided into cloud and on-premises. The cloud segment is expected to account for 66.78% of the market in 2026, owing to greater scalability, flexibility, and lower infrastructure costs.

Based on construction stage, the market includes pre-construction, construction, and post-construction. The construction segment is projected to hold 43.19% market share in 2026, while the pre-construction segment is expected to witness the fastest growth due to increasing adoption of AI-driven project estimation and planning tools.

By construction type, the market is categorized into residential, industrial, commercial, and infrastructure. The commercial construction segment is anticipated to lead with 34.05% market share in 2026, supported by growing investments in office buildings, commercial complexes, and smart infrastructure. Residential construction is expected to record the highest growth rate.

Regional Analysis

North America led the global AI in construction market with a 39.10% share in 2025, reaching USD 1.90 billion, and is projected to grow to USD 2.36 billion in 2026. Strong AI research, supportive government initiatives, digital infrastructure, and extensive commercial construction activities continue to strengthen regional growth. The U.S. market is expected to reach USD 1.81 billion in 2026.

Europe accounted for 31.20% of the global market in 2025, generating USD 1.52 billion, and is projected to reach USD 1.89 billion in 2026. Sustainability initiatives, digital construction standards, and widespread BIM adoption continue to support regional expansion. Germany and the UK remain key contributors.

Asia Pacific reached USD 1.12 billion in 2025 and is expected to grow to USD 1.39 billion in 2026. Rapid urbanization, infrastructure development, smart city investments, and government-backed digital transformation programs in China, India, Japan, and Southeast Asia are expected to generate the highest CAGR during the forecast period.

The Middle East & Africa generated USD 0.20 billion in 2025 and is projected to reach USD 0.24 billion in 2026, supported by smart infrastructure projects and urban development. Latin America recorded USD 0.12 billion in 2025 and is expected to reach USD 0.15 billion in 2026, driven by gradual adoption of AI-enabled construction technologies.

Key Market Players

Major companies operating in the global AI in construction market include Autodesk, SAP SE, Bentley Systems, ALICE Technologies Inc., Dassault Systemes, Oracle Corporation, Trimble Inc., Komatsu, Procore Technologies Inc., and Doxel. These companies are investing heavily in AI-powered construction software, cloud-based project management platforms, digital twins, predictive analytics, and strategic collaborations to strengthen their market position.

Recent Industry Developments

In April 2024, SAP introduced AI-powered enhancements to its supply chain platform, helping construction companies improve productivity and manufacturing efficiency through real-time analytics.

In February 2024, Cadence Design Systems expanded its partnership with Dassault Systemes to integrate AI-driven PCB and mechanical design capabilities with the 3DEXPERIENCE platform.

In November 2023, Autodesk launched Autodesk AI, providing intelligent design assistance, automation, and generative capabilities for construction professionals.

In November 2023, Trimble integrated Azure AI Document Intelligence into its construction ERP platform to automate invoice processing and improve workflow efficiency.

In September 2023, Versatile partnered with Procore Technologies to automate construction progress reporting using AI-powered site data collection.

Conclusion

The AI in construction market is poised for remarkable expansion as digital transformation reshapes the global construction industry. Rising demand for project automation, predictive analytics, cloud-based collaboration, improved safety, and sustainable construction practices continues to accelerate AI adoption across commercial, residential, and infrastructure projects. With continuous advancements in generative AI, machine learning, and intelligent project management solutions, the market is expected to witness substantial growth through 2034.

Segmentation By Solution

  • Project Management
  • Risk Management
  • Schedule Management
  • Supply Chain Management
  • Others (Quality Management, Safety Management)

By Deployment

  • Cloud
  • On-premises

By Construction Stage

  • Pre-construction
  • Construction
  • Post-construction

By Construction Type

  • Residential
  • Industrial
  • Commercial
  • Infrastructure

By Region

  • North America (By Solution, Deployment, Construction Stage, Construction Type, and Country)
    • U.S.
    • Canada
    • Mexico
  • South America (By Solution, Deployment, Construction Stage, Construction Type, and Country)
    • Brazil
    • Argentina
    • Rest of South America
  • Europe (By Solution, Deployment, Construction Stage, Construction Type, and Country)
    • U.K.
    • Germany
    • France
    • Italy
    • Spain
    • Russia
    • Benelux
    • Nordics
    • Rest of Europe
  • Middle East & Africa (By Solution, Deployment, Construction Stage, Construction Type, and Country)
    • Turkey
    • Israel
    • GCC
    • North Africa
    • South Africa
    • Rest of the Middle East & Africa
  • Asia Pacific (By Solution, Deployment, Construction Stage, Construction Type, and Country)
    • China
    • Japan
    • India
    • South Korea
    • ASEAN
    • Oceania
    • Rest of Asia Pacific

Table of Content

1. Introduction

  • 1.1. Definition, By Segment
  • 1.2. Research Methodology/Approach
  • 1.3. Data Sources

2. Executive Summary

3. Market Dynamics

  • 3.1. Macro and Micro Economic Indicators
  • 3.2. Drivers, Restraints, Opportunities and Trends
  • 3.3. Impact of Generative AI

4. Competition Landscape

  • 4.1. Business Strategies Adopted by Key Players
  • 4.2. Consolidated SWOT Analysis of Key Players
  • 4.3. Global AI in Construction Key Players Market Share/Ranking, 2025

5. Global AI in Construction Market Size Estimates and Forecasts, By Segments, 2021-2034

  • 5.1. Key Findings
  • 5.2. By Solution (USD)
    • 5.2.1. Project Management
    • 5.2.2. Risk Management
    • 5.2.3. Schedule Management
    • 5.2.4. Supply Chain Management
    • 5.2.5. Others (Quality Management, Safety Management, etc.)
  • 5.3. By Deployment (USD)
    • 5.3.1. Cloud
    • 5.3.2. On-premise
  • 5.4. By Construction Stage (USD)
    • 5.4.1. Pre-construction
    • 5.4.2. Construction
    • 5.4.3. Post-construction
  • 5.5. By Construction Type (USD)
    • 5.5.1. Residential
    • 5.5.2. Industrial
    • 5.5.3. Commercial
    • 5.5.4. Infrastructure
  • 5.6. By Region (USD)
    • 5.6.1. North America
    • 5.6.2. South America
    • 5.6.3. Europe
    • 5.6.4. Middle East and Africa
    • 5.6.5. Asia Pacific

6. North America AI in Construction Market Size Estimates and Forecasts, By Segments, 2021-2034

  • 6.1. Key Findings
  • 6.2. By Solution (USD)
    • 6.2.1. Project Management
    • 6.2.2. Risk Management
    • 6.2.3. Schedule Management
    • 6.2.4. Supply Chain Management
    • 6.2.5. Others (Quality Management, Safety Management, etc.)
  • 6.3. By Deployment (USD)
    • 6.3.1. Cloud
    • 6.3.2. On-premise
  • 6.4. By Construction Stage (USD)
    • 6.4.1. Pre-construction
    • 6.4.2. Construction
    • 6.4.3. Post-construction
  • 6.5. By Construction Type (USD)
    • 6.5.1. Residential
    • 6.5.2. Industrial
    • 6.5.3. Commercial
    • 6.5.4. Infrastructure
  • 6.6. By Country (USD)
    • 6.6.1. United States
    • 6.6.2. Canada
    • 6.6.3. Mexico

7. South America AI in Construction Market Size Estimates and Forecasts, By Segments, 2021-2034

  • 7.1. Key Findings
  • 7.2. By Solution (USD)
    • 7.2.1. Project Management
    • 7.2.2. Risk Management
    • 7.2.3. Schedule Management
    • 7.2.4. Supply Chain Management
    • 7.2.5. Others (Quality Management, Safety Management, etc.)
  • 7.3. By Deployment (USD)
    • 7.3.1. Cloud
    • 7.3.2. On-premise
  • 7.4. By Construction Stage (USD)
    • 7.4.1. Pre-construction
    • 7.4.2. Construction
    • 7.4.3. Post-construction
  • 7.5. By Construction Type (USD)
    • 7.5.1. Residential
    • 7.5.2. Industrial
    • 7.5.3. Commercial
    • 7.5.4. Infrastructure
  • 7.6. By Country (USD)
    • 7.6.1. Brazil
    • 7.6.2. Argentina
    • 7.6.3. Rest of South America

8. Europe AI in Construction Market Size Estimates and Forecasts, By Segments, 2021-2034

  • 8.1. Key Findings
  • 8.2. By Solution (USD)
    • 8.2.1. Project Management
    • 8.2.2. Risk Management
    • 8.2.3. Schedule Management
    • 8.2.4. Supply Chain Management
    • 8.2.5. Others (Quality Management, Safety Management, etc.)
  • 8.3. By Deployment (USD)
    • 8.3.1. Cloud
    • 8.3.2. On-premise
  • 8.4. By Construction Stage (USD)
    • 8.4.1. Pre-construction
    • 8.4.2. Construction
    • 8.4.3. Post-construction
  • 8.5. By Construction Type (USD)
    • 8.5.1. Residential
    • 8.5.2. Industrial
    • 8.5.3. Commercial
    • 8.5.4. Infrastructure
  • 8.6. By Country (USD)
    • 8.6.1. United Kingdom
    • 8.6.2. Germany
    • 8.6.3. France
    • 8.6.4. Italy
    • 8.6.5. Spain
    • 8.6.6. Russia
    • 8.6.7. Benelux
    • 8.6.8. Nordics
    • 8.6.9. Rest of Europe

9. Middle East and Africa AI in Construction Market Size Estimates and Forecasts, By Segments, 2021-2034

  • 9.1. Key Findings
  • 9.2. By Solution (USD)
    • 9.2.1. Project Management
    • 9.2.2. Risk Management
    • 9.2.3. Schedule Management
    • 9.2.4. Supply Chain Management
    • 9.2.5. Others (Quality Management, Safety Management, etc.)
  • 9.3. By Deployment (USD)
    • 9.3.1. Cloud
    • 9.3.2. On-premise
  • 9.4. By Construction Stage (USD)
    • 9.4.1. Pre-construction
    • 9.4.2. Construction
    • 9.4.3. Post-construction
  • 9.5. By Construction Type (USD)
    • 9.5.1. Residential
    • 9.5.2. Industrial
    • 9.5.3. Commercial
    • 9.5.4. Infrastructure
  • 9.6. By Country (USD)
    • 9.6.1. Turkey
    • 9.6.2. Israel
    • 9.6.3. GCC
    • 9.6.4. North Africa
    • 9.6.5. South Africa
    • 9.6.6. Rest of Middle East and Africa

10. Asia Pacific AI in Construction Market Size Estimates and Forecasts, By Segments, 2021-2034

  • 10.1. Key Findings
  • 10.2. By Solution (USD)
    • 10.2.1. Project Management
    • 10.2.2. Risk Management
    • 10.2.3. Schedule Management
    • 10.2.4. Supply Chain Management
    • 10.2.5. Others (Quality Management, Safety Management, etc.)
  • 10.3. By Deployment (USD)
    • 10.3.1. Cloud
    • 10.3.2. On-premise
  • 10.4. By Construction Stage (USD)
    • 10.4.1. Pre-construction
    • 10.4.2. Construction
    • 10.4.3. Post-construction
  • 10.5. By Construction Type (USD)
    • 10.5.1. Residential
    • 10.5.2. Industrial
    • 10.5.3. Commercial
    • 10.5.4. Infrastructure
  • 10.6. By Country (USD)
    • 10.6.1. China
    • 10.6.2. Japan
    • 10.6.3. India
    • 10.6.4. South Korea
    • 10.6.5. ASEAN
    • 10.6.6. Oceania
    • 10.6.7. Rest of Asia Pacific

11. Company Profiles for Top 10 Players (Based on data availability in public domain and/or on paid databases)

  • 11.1. Autodesk
    • 11.1.1. Overview
      • 11.1.1.1. Key Management
      • 11.1.1.2. Headquarters
      • 11.1.1.3. Offerings/Business Segments
    • 11.1.2. Key Details (Key details are consolidated data and not product/service specific)
      • 11.1.2.1. Employee Size
      • 11.1.2.2. Past and Current Revenue
      • 11.1.2.3. Geographical Share
      • 11.1.2.4. Business Segment Share
      • 11.1.2.5. Recent Developments
  • 11.2. SAP SE
    • 11.2.1. Overview
      • 11.2.1.1. Key Management
      • 11.2.1.2. Headquarters
      • 11.2.1.3. Offerings/Business Segments
    • 11.2.2. Key Details (Key details are consolidated data and not product/service specific)
      • 11.2.2.1. Employee Size
      • 11.2.2.2. Past and Current Revenue
      • 11.2.2.3. Geographical Share
      • 11.2.2.4. Business Segment Share
      • 11.2.2.5. Recent Developments
  • 11.3. Bentley Systems
    • 11.3.1. Overview
      • 11.3.1.1. Key Management
      • 11.3.1.2. Headquarters
      • 11.3.1.3. Offerings/Business Segments
    • 11.3.2. Key Details (Key details are consolidated data and not product/service specific)
      • 11.3.2.1. Employee Size
      • 11.3.2.2. Past and Current Revenue
      • 11.3.2.3. Geographical Share
      • 11.3.2.4. Business Segment Share
      • 11.3.2.5. Recent Developments
  • 11.4. ALICE Technologies Inc.
    • 11.4.1. Overview
      • 11.4.1.1. Key Management
      • 11.4.1.2. Headquarters
      • 11.4.1.3. Offerings/Business Segments
    • 11.4.2. Key Details (Key details are consolidated data and not product/service specific)
      • 11.4.2.1. Employee Size
      • 11.4.2.2. Past and Current Revenue
      • 11.4.2.3. Geographical Share
      • 11.4.2.4. Business Segment Share
      • 11.4.2.5. Recent Developments
  • 11.5. Dassault Systemes
    • 11.5.1. Overview
      • 11.5.1.1. Key Management
      • 11.5.1.2. Headquarters
      • 11.5.1.3. Offerings/Business Segments
    • 11.5.2. Key Details (Key details are consolidated data and not product/service specific)
      • 11.5.2.1. Employee Size
      • 11.5.2.2. Past and Current Revenue
      • 11.5.2.3. Geographical Share
      • 11.5.2.4. Business Segment Share
      • 11.5.2.5. Recent Developments
  • 11.6. Oracle Corporation
    • 11.6.1. Overview
      • 11.6.1.1. Key Management
      • 11.6.1.2. Headquarters
      • 11.6.1.3. Offerings/Business Segments
    • 11.6.2. Key Details (Key details are consolidated data and not product/service specific)
      • 11.6.2.1. Employee Size
      • 11.6.2.2. Past and Current Revenue
      • 11.6.2.3. Geographical Share
      • 11.6.2.4. Business Segment Share
      • 11.6.2.5. Recent Developments
  • 11.7. Trimble Inc.
    • 11.7.1. Overview
      • 11.7.1.1. Key Management
      • 11.7.1.2. Headquarters
      • 11.7.1.3. Offerings/Business Segments
    • 11.7.2. Key Details (Key details are consolidated data and not product/service specific)
      • 11.7.2.1. Employee Size
      • 11.7.2.2. Past and Current Revenue
      • 11.7.2.3. Geographical Share
      • 11.7.2.4. Business Segment Share
      • 11.7.2.5. Recent Developments
  • 11.8. Komatsu
    • 11.8.1. Overview
      • 11.8.1.1. Key Management
      • 11.8.1.2. Headquarters
      • 11.8.1.3. Offerings/Business Segments
    • 11.8.2. Key Details (Key details are consolidated data and not product/service specific)
      • 11.8.2.1. Employee Size
      • 11.8.2.2. Past and Current Revenue
      • 11.8.2.3. Geographical Share
      • 11.8.2.4. Business Segment Share
      • 11.8.2.5. Recent Developments
  • 11.9. Procore Technologies, Inc.
    • 11.9.1. Overview
      • 11.9.1.1. Key Management
      • 11.9.1.2. Headquarters
      • 11.9.1.3. Offerings/Business Segments
    • 11.9.2. Key Details (Key details are consolidated data and not product/service specific)
      • 11.9.2.1. Employee Size
      • 11.9.2.2. Past and Current Revenue
      • 11.9.2.3. Geographical Share
      • 11.9.2.4. Business Segment Share
      • 11.9.2.5. Recent Developments
  • 11.10. Doxel
    • 11.10.1. Overview
      • 11.10.1.1. Key Management
      • 11.10.1.2. Headquarters
      • 11.10.1.3. Offerings/Business Segments
    • 11.10.2. Key Details (Key details are consolidated data and not product/service specific)
      • 11.10.2.1. Employee Size
      • 11.10.2.2. Past and Current Revenue
      • 11.10.2.3. Geographical Share
      • 11.10.2.4. Business Segment Share
      • 11.10.2.5. Recent Developments

12. Key Takeaways

List of Tables

  • Table 1: Global AI in Construction Market Size Estimates and Forecasts, 2021 - 2034
  • Table 2: Global AI in Construction Market Size Estimates and Forecasts, By Solution, 2021 - 2034
  • Table 3: Global AI in Construction Market Size Estimates and Forecasts, By Deployment, 2021 - 2034
  • Table 4: Global AI in Construction Market Size Estimates and Forecasts, By Construction Stage, 2021 - 2034
  • Table 5: Global AI in Construction Market Size Estimates and Forecasts, By Construction Type, 2021 - 2034
  • Table 6: Global AI in Construction Market Size Estimates and Forecasts, By Region, 2021 - 2034
  • Table 7: North America AI in Construction Market Size Estimates and Forecasts, 2021 - 2034
  • Table 8: North America AI in Construction Market Size Estimates and Forecasts, By Solution, 2021 - 2034
  • Table 9: North America AI in Construction Market Size Estimates and Forecasts, By Deployment, 2021 - 2034
  • Table 10: North America AI in Construction Market Size Estimates and Forecasts, By Construction Stage, 2021 - 2034
  • Table 11: North America AI in Construction Market Size Estimates and Forecasts, By Construction Type, 2021 - 2034
  • Table 12: North America AI in Construction Market Size Estimates and Forecasts, By Country, 2021 - 2034
  • Table 13: South America AI in Construction Market Size Estimates and Forecasts, 2021 - 2034
  • Table 14: South America AI in Construction Market Size Estimates and Forecasts, By Solution, 2021 - 2034
  • Table 15: South America AI in Construction Market Size Estimates and Forecasts, By Deployment, 2021 - 2034
  • Table 16: South America AI in Construction Market Size Estimates and Forecasts, By Construction Stage, 2021 - 2034
  • Table 17: South America AI in Construction Market Size Estimates and Forecasts, By Construction Type, 2021 - 2034
  • Table 18: South America AI in Construction Market Size Estimates and Forecasts, By Country, 2021 - 2034
  • Table 19: Europe AI in Construction Market Size Estimates and Forecasts, 2021 - 2034
  • Table 20: Europe AI in Construction Market Size Estimates and Forecasts, By Solution, 2021 - 2034
  • Table 21: Europe AI in Construction Market Size Estimates and Forecasts, By Deployment, 2021 - 2034
  • Table 22: Europe AI in Construction Market Size Estimates and Forecasts, By Construction Stage, 2021 - 2034
  • Table 23: Europe AI in Construction Market Size Estimates and Forecasts, By Construction Type, 2021 - 2034
  • Table 24: Europe AI in Construction Market Size Estimates and Forecasts, By Country, 2021 - 2034
  • Table 25: Middle East and Africa AI in Construction Market Size Estimates and Forecasts, 2021 - 2034
  • Table 26: Middle East and Africa AI in Construction Market Size Estimates and Forecasts, By Solution, 2021 - 2034
  • Table 27: Middle East and Africa AI in Construction Market Size Estimates and Forecasts, By Deployment, 2021 - 2034
  • Table 28: Middle East and Africa AI in Construction Market Size Estimates and Forecasts, By Construction Stage, 2021 - 2034
  • Table 29: Middle East and Africa AI in Construction Market Size Estimates and Forecasts, By Construction Type, 2021 - 2034
  • Table 30: Middle East and Africa AI in Construction Market Size Estimates and Forecasts, By Country, 2021 - 2034
  • Table 31: Asia Pacific AI in Construction Market Size Estimates and Forecasts, 2021 - 2034
  • Table 32: Asia Pacific AI in Construction Market Size Estimates and Forecasts, By Solution, 2021 - 2034
  • Table 33: Asia Pacific AI in Construction Market Size Estimates and Forecasts, By Deployment, 2021 - 2034
  • Table 34: Asia Pacific AI in Construction Market Size Estimates and Forecasts, By Construction Stage, 2021 - 2034
  • Table 35: Asia Pacific AI in Construction Market Size Estimates and Forecasts, By Construction Type, 2021 - 2034
  • Table 36: Asia Pacific AI in Construction Market Size Estimates and Forecasts, By Country, 2021 - 2034

List of Figures

  • Figure 1: Global AI in Construction Market Revenue Share (%), 2025 and 2034
  • Figure 2: Global AI in Construction Market Revenue Share (%), By Solution, 2025 and 2034
  • Figure 3: Global AI in Construction Market Revenue Share (%), By Deployment, 2025 and 2034
  • Figure 4: Global AI in Construction Market Revenue Share (%), By Construction Stage, 2025 and 2034
  • Figure 5: Global AI in Construction Market Revenue Share (%), By Construction Type, 2025 and 2034
  • Figure 6: Global AI in Construction Market Revenue Share (%), By Region, 2025 and 2034
  • Figure 7: North America AI in Construction Market Revenue Share (%), 2025 and 2034
  • Figure 8: North America AI in Construction Market Revenue Share (%), By Solution, 2025 and 2034
  • Figure 9: North America AI in Construction Market Revenue Share (%), By Deployment, 2025 and 2034
  • Figure 10: North America AI in Construction Market Revenue Share (%), By Construction Stage, 2025 and 2034
  • Figure 11: North America AI in Construction Market Revenue Share (%), By Construction Type, 2025 and 2034
  • Figure 12: North America AI in Construction Market Revenue Share (%), By Country, 2025 and 2034
  • Figure 13: South America AI in Construction Market Revenue Share (%), 2025 and 2034
  • Figure 14: South America AI in Construction Market Revenue Share (%), By Solution, 2025 and 2034
  • Figure 15: South America AI in Construction Market Revenue Share (%), By Deployment, 2025 and 2034
  • Figure 16: South America AI in Construction Market Revenue Share (%), By Construction Stage, 2025 and 2034
  • Figure 17: South America AI in Construction Market Revenue Share (%), By Construction Type, 2025 and 2034
  • Figure 18: South America AI in Construction Market Revenue Share (%), By Country, 2025 and 2034
  • Figure 19: Europe AI in Construction Market Revenue Share (%), 2025 and 2034
  • Figure 20: Europe AI in Construction Market Revenue Share (%), By Solution, 2025 and 2034
  • Figure 21: Europe AI in Construction Market Revenue Share (%), By Deployment, 2025 and 2034
  • Figure 22: Europe AI in Construction Market Revenue Share (%), By Construction Stage, 2025 and 2034
  • Figure 23: Europe AI in Construction Market Revenue Share (%), By Construction Type, 2025 and 2034
  • Figure 24: Europe AI in Construction Market Revenue Share (%), By Country, 2025 and 2034
  • Figure 25: Middle East and Africa AI in Construction Market Revenue Share (%), 2025 and 2034
  • Figure 26: Middle East and Africa AI in Construction Market Revenue Share (%), By Solution, 2025 and 2034
  • Figure 27: Middle East and Africa AI in Construction Market Revenue Share (%), By Deployment, 2025 and 2034
  • Figure 28: Middle East and Africa AI in Construction Market Revenue Share (%), By Construction Stage, 2025 and 2034
  • Figure 29: Middle East and Africa AI in Construction Market Revenue Share (%), By Construction Type, 2025 and 2034
  • Figure 30: Middle East and Africa AI in Construction Market Revenue Share (%), By Country, 2025 and 2034
  • Figure 31: Asia Pacific AI in Construction Market Revenue Share (%), 2025 and 2034
  • Figure 32: Asia Pacific AI in Construction Market Revenue Share (%), By Solution, 2025 and 2034
  • Figure 33: Asia Pacific AI in Construction Market Revenue Share (%), By Deployment, 2025 and 2034
  • Figure 34: Asia Pacific AI in Construction Market Revenue Share (%), By Construction Stage, 2025 and 2034
  • Figure 35: Asia Pacific AI in Construction Market Revenue Share (%), By Construction Type, 2025 and 2034
  • Figure 36: Asia Pacific AI in Construction Market Revenue Share (%), By Country, 2025 and 2034
  • Figure 37: Global AI in Construction Key Players Market Share (%), 2025