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市场调查报告书
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1697271

建筑市场中的人工智慧－预测至2025-2030年

AI in Construction Market - Forecasts from 2025 to 2030
出版日期: | 出版商: Knowledge Sourcing Intelligence | 英文 140 Pages | 商品交期: 最快1-2个工作天内

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简介目录

建筑市场人工智慧预计将从 2025 年的 80.6 亿美元成长到 2030 年的 227.68 亿美元，预测期内复合年增长率高达 23.08%。

人工智慧 (AI) 在建筑领域的融合利用先进的系统来设计、实施和优化人工智慧驱动的技术，以改善建筑计划。关键创新包括机器学习 (ML) 演算法、电脑视觉和自然语言处理 (NLP) 工具，以简化计划、风险、时间、供应链、品质和安全管理等关键功能。这种转变是由产业对永续性、效率和成本效益的日益关注所推动的。作为建设产业发展最快的领域之一，人工智慧为创新和转型提供了巨大的机会。

人工智慧在建筑市场的驱动因素：

  • 风险管理和预测分析的需求不断增长：建筑业越来越多地采用人工智慧来增强风险建模和预测分析，这推动了市场扩张。先进的机器学习系统分析大型资料集（例如计划进度、预算、资源分配和效能指标），以识别模式并预测延迟和瓶颈。人们越来越意识到人工智慧在降低风险和确保计划成功方面的作用，这进一步加速了人工智慧的应用。
  • 更重视生产力和效率：对提高生产力的需求不断增加正在重塑产业。时间紧迫、多地点运作且预算受限的复杂计划通常会超出传统管理方法的能力，从而导致专案延误和成本超支。为了解决这个问题，企业正在采用人工智慧解决方案（例如电脑视觉、ML）来自动化工作流程、增强资料分析和支援决策。

建筑市场人工智慧的区域洞察：

对五个主要地区的市场成长进行分析：

  • 北美：扩大人工智慧投资和基础建设推动市场发展
  • 欧洲：成熟的建筑业注重永续性、效率和质量，在人工智慧的推动下，预计将占据相当大的市场占有率
  • 亚太地区：快速的基础设施建设和不断增长的建筑支出将推动该地区市场的成长。
  • 南美洲、中东和非洲：建筑实践的稳步进步预计将刺激该地区的成长。

这个重新表述的版本提高了可读性和简洁性，同时保持了清晰度并确保了技术准确性和一致性。如果您需要任何进一步的改进，请告诉我！

为什么要购买这份报告？

  • 深刻分析：获得涵盖主要地区和新兴地区的深入市场洞察，重点关注客户群、政府政策和社会经济因素、消费者偏好、垂直行业和其他子区隔。
  • 竞争格局：了解全球主要企业所采用的策略策略，并了解正确策略带来的潜在市场渗透。
  • 市场趋势和驱动因素：探索动态因素和关键市场趋势以及它们将如何影响未来的市场发展。
  • 可行的建议：利用洞察力做出策略决策，在动态环境中开闢新的业务流和收益。
  • 适用范围广：对于新兴企业、科学研究机构、顾问公司、中小企业、大型企业都有利且划算。

它有什么用途？

产业和市场考量、商业机会评估、产品需求预测、打入市场策略、地理扩张、资本支出决策、法律规范与影响、新产品开发、竞争影响

研究范围

  • 2022年至2030年的历史资料与预测
  • 成长机会、挑战、供应链前景、法规结构、客户行为和趋势分析
  • 竞争定位、策略和市场占有率分析
  • 收益成长和预测包括国家在内的细分市场和地区分析
  • 公司概况（特别是主要趋势）

建筑市场中的人工智慧细分为：

按应用

  • 计划管理
  • 规划与设计
  • 安全
  • 自主设施
  • 监控和维护

依施工阶段

  • 施工前
  • 建造
  • 后期施工

按配置

  • 本地
  • 云端基础

按行业

  • 住宅
  • 商业
  • 其他的

按地区

  • 北美洲
  • 美国
  • 加拿大
  • 墨西哥
  • 南美洲
  • 巴西
  • 阿根廷
  • 其他的
  • 欧洲
  • 英国
  • 德国
  • 法国
  • 西班牙
  • 其他的
  • 中东和非洲
  • 沙乌地阿拉伯
  • UAE
  • 其他的
  • 亚太地区
  • 中国
  • 日本
  • 印度
  • 韩国
  • 台湾
  • 其他的

目录

第一章执行摘要

第二章市场概述

  • 市场概览
  • 市场定义
  • 研究范围
  • 市场区隔

第三章 商业景气

  • 市场驱动因素
  • 市场限制
  • 市场机会
  • 波特五力分析
  • 产业价值链分析
  • 政策法规
  • 策略建议

第四章 技术展望

第五章 建筑业人工智慧市场（按应用）

  • 介绍
  • 计划管理
  • 规划与设计
  • 安全
  • 自主设备
  • 监控和维护

第六章 建筑市场中的人工智慧市场（依施工阶段）

  • 介绍
  • 施工前
  • 建造
  • 施工后

第七章 人工智慧市场建设部署

  • 介绍
  • 本地
  • 云端基础

第 8 章：人工智慧在建筑市场的垂直产业应用

  • 介绍
  • 住宅
  • 商业的
  • 其他的

第九章 建筑市场人工智慧（按地区）

  • 介绍
  • 北美洲
    • 按应用
    • 依施工阶段
    • 按部署
    • 按行业
    • 按国家
  • 南美洲
    • 按应用
    • 依施工阶段
    • 按部署
    • 按行业
    • 按国家
  • 欧洲
    • 按应用
    • 依施工阶段
    • 按部署
    • 按行业
    • 按国家
  • 中东和非洲
    • 按应用
    • 依施工阶段
    • 按部署
    • 按行业
    • 按国家
  • 亚太地区
    • 按应用
    • 依施工阶段
    • 按部署
    • 按行业
    • 按国家

第十章竞争格局及分析

  • 主要企业和策略分析
  • 市场占有率分析
  • 合併、收购、协议和合作
  • 竞争仪錶板

第十一章 公司简介

  • IBM
  • Autodesk Construction Cloud
  • Oracle
  • SAP SE
  • ALICE Technologies Inc.
  • The Access Group
  • Doxel
  • eSUB Construction Software

第十二章 附录

  • 货币
  • 先决条件
  • 基准年和预测年时间表
  • 相关人员的主要利益
  • 调查方法
  • 简称
简介目录
Product Code: KSI061617271

The AI in construction market is set to witness robust growth at a CAGR of 23.08% during the forecast period, worth US$22.768 billion in 2030 from US$8.060 billion in 2025.

The integration of artificial intelligence (AI) in construction leverages advanced systems to design, implement, and optimize AI-driven technologies for improving construction projects. Key innovations include machine learning (ML) algorithms, computer vision, and natural language processing (NLP) tools, which streamline critical functions such as project, risk, time, supply chain, quality, and safety management. This shift is fueled by the industry's growing emphasis on sustainability, efficiency, and cost-effectiveness. As one of the fastest-evolving sectors in construction, AI presents vast opportunities for innovation and transformative change.

AI in Construction Market Growth Drivers:

  • Rising Demand for Risk Management & Predictive Analytics: The construction sector is increasingly adopting AI to power risk modeling and predictive analytics, driving market expansion. Advanced ML systems analyze large datasets-such as project timelines, budgets, resource allocation, and performance metrics-to identify patterns and forecast delays or bottlenecks. Growing recognition of AI's role in mitigating risks and ensuring project success further accelerates adoption.
  • Surging Focus on Productivity & Efficiency: Escalating demand for higher productivity is reshaping the industry. Complex projects with tight deadlines, multi-site operations, and budget constraints often overwhelm traditional management methods, leading to delays and cost overruns. To address this, firms are deploying AI solutions (e.g., computer vision, ML) to automate workflows, enhance data analysis, and support decision-making.

AI in Construction Market Regional Insights:

The market's growth is analyzed across five key regions:

  • North America: Expansion is driven by rising AI investments and infrastructure development.
  • Europe: A mature construction sector prioritizing sustainability, efficiency, and quality is expected to secure a significant market share, bolstered by AI adoption.
  • Asia Pacific: Rapid infrastructure growth and increased construction spending are propelling regional market growth.
  • South America, Middle East & Africa: Steady advancements in construction practices are anticipated to spur growth in these regions.

This rephrased version maintains clarity while enhancing readability and conciseness, ensuring technical accuracy and coherence. Let me know if further refinements are needed!

Reasons for buying this report:-

  • Insightful Analysis: Gain detailed market insights covering major as well as emerging geographical regions, focusing on customer segments, government policies and socio-economic factors, consumer preferences, industry verticals, other sub- segments.
  • Competitive Landscape: Understand the strategic maneuvers employed by key players globally to understand possible market penetration with the correct strategy.
  • Market Drivers & Future Trends: Explore the dynamic factors and pivotal market trends and how they will shape up future market developments.
  • Actionable Recommendations: Utilize the insights to exercise strategic decision to uncover new business streams and revenues in a dynamic environment.
  • Caters to a Wide Audience: Beneficial and cost-effective for startups, research institutions, consultants, SMEs, and large enterprises.

What do businesses use our reports for?

Industry and Market Insights, Opportunity Assessment, Product Demand Forecasting, Market Entry Strategy, Geographical Expansion, Capital Investment Decisions, Regulatory Framework & Implications, New Product Development, Competitive Intelligence

Report Coverage:

  • Historical data & forecasts from 2022 to 2030
  • Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, Customer Behaviour, and Trend Analysis
  • Competitive Positioning, Strategies, and Market Share Analysis
  • Revenue Growth and Forecast Assessment of segments and regions including countries
  • Company Profiling (Strategies, Products, Financial Information, and Key Developments among others)

AI in Construction Market is analyzed into the following segments:

By Application

  • Project Management
  • Planning and Design
  • Safety
  • Autonomous Equipment
  • Monitoring and Maintenance

By Construction Stage

  • Pre-Construction
  • Construction
  • Post-Construction

By Deployment

  • On-Premises
  • Cloud Based

By Industry

  • Residential
  • Commercial
  • Others

By Geography

  • North America
  • United States
  • Canada
  • Mexico
  • South America
  • Brazil
  • Argentina
  • Others
  • Europe
  • United Kingdom
  • Germany
  • France
  • Spain
  • Others
  • Middle East and Africa
  • Saudi Arabia
  • UAE
  • Others
  • Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Taiwan
  • Others

TABLE OF CONTENTS

1. EXECUTIVE SUMMARY

2. MARKET SNAPSHOT

  • 2.1. Market Overview
  • 2.2. Market Definition
  • 2.3. Scope of the Study
  • 2.4. Market Segmentation

3. BUSINESS LANDSCAPE

  • 3.1. Market Drivers
  • 3.2. Market Restraints
  • 3.3. Market Opportunities
  • 3.4. Porter's Five Forces Analysis
  • 3.5. Industry Value Chain Analysis
  • 3.6. Policies and Regulations
  • 3.7. Strategic Recommendations

4. TECHNOLOGICAL OUTLOOK

5. AI IN CONSTRUCTION MARKET BY APPLICATION

  • 5.1. Introduction
  • 5.2. Project Management
  • 5.3. Planning and Design
  • 5.4. Safety
  • 5.5. Autonomous Equipment
  • 5.6. Monitoring and Maintenance

6. AI IN CONSTRUCTION MARKET BY CONSTRUCTION STAGE

  • 6.1. Introduction
  • 6.2. Pre-Construction
  • 6.3. Construction
  • 6.4. Post-Construction

7. AI IN CONSTRUCTION MARKET BY DEPLOYMENT

  • 7.1. Introduction
  • 7.2. On-Premises
  • 7.3. Cloud Based

8. AI IN CONSTRUCTION MARKET BY INDUSTRY

  • 8.1. Introduction
  • 8.2. Residential
  • 8.3. Commercial
  • 8.4. Others

9. AI IN CONSTRUCTION MARKET BY GEOGRAPHY

  • 9.1. Introduction
  • 9.2. North America
    • 9.2.1. By Application
    • 9.2.2. By Construction Stage
    • 9.2.3. By Deployment
    • 9.2.4. By Industry
    • 9.2.5. By Country
      • 9.2.5.1. USA
      • 9.2.5.2. Canada
      • 9.2.5.3. Mexico
  • 9.3. South America
    • 9.3.1. By Application
    • 9.3.2. By Construction Stage
    • 9.3.3. By Deployment
    • 9.3.4. By Industry
    • 9.3.5. By Country
      • 9.3.5.1. Brazil
      • 9.3.5.2. Argentina
      • 9.3.5.3. Others
  • 9.4. Europe
    • 9.4.1. By Application
    • 9.4.2. By Construction Stage
    • 9.4.3. By Deployment
    • 9.4.4. By Industry
    • 9.4.5. By Country
      • 9.4.5.1. United Kingdom
      • 9.4.5.2. Germany
      • 9.4.5.3. France
      • 9.4.5.4. Spain
      • 9.4.5.5. Others
  • 9.5. Middle East and Africa
    • 9.5.1. By Application
    • 9.5.2. By Construction Stage
    • 9.5.3. By Deployment
    • 9.5.4. By Industry
    • 9.5.5. By Country
      • 9.5.5.1. Saudi Arabia
      • 9.5.5.2. UAE
      • 9.5.5.3. Others
  • 9.6. Asia Pacific
    • 9.6.1. By Application
    • 9.6.2. By Construction Stage
    • 9.6.3. By Deployment
    • 9.6.4. By Industry
    • 9.6.5. By Country
      • 9.6.5.1. China
      • 9.6.5.2. Japan
      • 9.6.5.3. India
      • 9.6.5.4. South Korea
      • 9.6.5.5. Taiwan
      • 9.6.5.6. Others

10. COMPETITIVE ENVIRONMENT AND ANALYSIS

  • 10.1. Major Players and Strategy Analysis
  • 10.2. Market Share Analysis
  • 10.3. Mergers, Acquisitions, Agreements, and Collaborations
  • 10.4. Competitive Dashboard

11. COMPANY PROFILES

  • 11.1. IBM
  • 11.2. Autodesk Construction Cloud
  • 11.3. Oracle
  • 11.4. SAP SE
  • 11.5. ALICE Technologies Inc.
  • 11.6. The Access Group
  • 11.7. Doxel
  • 11.8. eSUB Construction Software

12. APPENDIX

  • 12.1. Currency
  • 12.2. Assumptions
  • 12.3. Base and Forecast Years Timeline
  • 12.4. Key benefits for the stakeholders
  • 12.5. Research Methodology
  • 12.6. Abbreviations