建筑领域人工智慧的全球市场规模、份额、成长分析（按产品供应、按应用） - 2024-2031 年产业预测

2022年建筑领域人工智慧的全球市场规模将为6.6567亿美元，从2023年的8.9266亿美元增长到2031年的93.3508亿美元，并且预计在预测期内（2024年）将持续增长。2020 年至2031年复合年增长率为34.1%）。

建筑业正在透过人工智慧（AI）的整合取得长足进步，从根本上重塑传统做法。人工智慧技术被应用于施工过程的各个阶段，从最初的设计和规划到计划管理和持续维护，从而提高了效率、准确性和安全标准。特别是，建筑资讯模型 (BIM) 利用人工智慧演算法开发全面的 3D 模型并促进相关人员的计划视觉化。人工智慧驱动的预测分析简化了计划调度、资源分配和风险评估，减少了延误和预算超支。配备人工智慧功能的无人机和自动驾驶汽车正在加快实地调查和资料收集等任务的速度，而这些任务曾经是集中的过程。透过人工智慧对潜在危险的预测分析和遵守安全通讯协定来增强安全措施，而人工智慧主导的影像识别系统的即时缺陷辨识则增强了品管。此外，人工智慧驱动的能源管理系统透过优化建筑物内的资源消耗来促进永续性。儘管人工智慧在建筑领域的应用前景广阔，但挑战仍然存在，包括资料隐私问题、整合复杂性以及提高劳动力技能的需要。也就是说，随着人工智慧技术的发展，建筑业将受益于生产力的提高、成本的降低和更安全的工作环境。

目录

执行摘要

• 市场概况
• 命运之轮

调查方法

• 资讯采购
• 次要/一级资讯来源
• 市场规模估算
• 市场假设与限制

母市场分析

• 市场概况
• 市场规模
• 市场动态
  • 促进因素
  • 机会
  • 抑制因素
  • 任务

主要市场考察

• 技术分析
• 价格分析
• 供应链分析
• 价值链分析
• 市场生态系统
• 智慧财产权分析
• 贸易分析
• Start-Ups分析
• 原料分析
• 创新矩阵
• 研发线产品分析
• 总体经济指标
• 主要投资分析
• 关键成功因素
• 竞争程度

市场动态及展望

• 市场动态
  • 促进因素
  • 机会
  • 抑制因素
  • 任务
• 监管形势
• 波特的分析
• 对未来中断的特殊考虑

建筑领域人工智慧的全球市场：依产品分类

• 市场概况
• 解决方案
• 服务

建筑领域人工智慧的全球市场：按应用分类

• 市场概况
• 资产管理
• 计划管理
• 危机管理
• 日程管理
• 供应链管理
• 其他的

全球建筑领域人工智慧市场规模：按地区

• 市场概况
• 北美洲
  • 美国
  • 加拿大
• 欧洲
  • 德国
  • 西班牙
  • 法国
  • 英国
  • 其他欧洲国家地区
• 亚太地区
  • 中国
  • 印度
  • 日本
  • 韩国
  • 其他亚太地区
• 拉丁美洲
  • 巴西
  • 其他拉丁美洲地区
• 中东和非洲 (MEA)
  • 海湾合作委员会国家
  • 南非
  • 其他中东/非洲地区

竞争形势

• 前5名企业对比
• 主要企业市场定位（2021年）
• 主要市场参与者所采取的策略
• 关键成功策略
• 近期市集活动
• 主要企业市场占有率（2021年）

主要企业简介

• IBM
• Microsoft
• Oracle
• Autodesk
• Trimble
• SAP
• Bentley Systems
• Caterpillar Inc.
• Komatsu Ltd.
• ABB Ltd.
• Doxel Inc.
• Smartvid.io
• Procore Technologies
• StructionSite
• BuildingConnected

Global Artificial Intelligence in Construction Market size was valued at USD 665.67 million in 2022 and is poised to grow from USD 892.66 million in 2023 to USD 9335.08 million by 2031, growing at a CAGR of 34.1% during the forecast period (2024-2031).

The construction sector has experienced significant advancements with the integration of artificial intelligence (AI), fundamentally reshaping traditional practices. AI technologies are being leveraged across various stages of the construction process, from initial design and planning to project management and ongoing maintenance, resulting in improved efficiency, precision, and safety standards. Notably, Building Information Modeling (BIM) utilizes AI algorithms to develop comprehensive 3D models, facilitating project visualization for stakeholders. Predictive analytics powered by AI streamline project scheduling, resource allocation, and risk evaluation, mitigating delays and budget overruns. Drones and autonomous vehicles equipped with AI capabilities expedite tasks like site surveying and data collection, once labor-intensive processes. Safety measures are bolstered through AI's predictive analysis of potential hazards and adherence to safety protocols, while real-time defect identification via AI-driven image recognition systems enhances quality control. Furthermore, AI-driven energy management systems promote sustainability by optimizing resource consumption in buildings. Despite the promising outlook for AI adoption in construction, challenges including data privacy concerns, integration complexities, and the imperative for workforce upskilling persist. Nevertheless, as AI technologies evolve, the construction industry stands to benefit from increased productivity, cost savings, and safer working environments.

Top-down and bottom-up approaches were used to estimate and validate the size of the Global 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.

Global Artificial Intelligence in Construction Market Segmental 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).

Drivers of the Global Artificial Intelligence in Construction Market

AI technologies optimize construction processes by automating tasks and leveraging predictive analytics, ultimately reducing the need for manual labor and time spent on projects. This streamlining results in increased efficiency, leading to accelerated project completion times.

Restraints in the Global Artificial Intelligence in Construction Market

Small and medium-sized construction companies often face substantial initial investment and integration expenses when adopting AI technologies, primarily due to the high costs associated with implementation.

Market Trends of the Global Artificial Intelligence in Construction Market

At the forefront of the AI-powered construction industry, Building Information Modeling (BIM) stands as a pivotal trend. Harnessing AI algorithms, BIM constructs intricate 3D digital renderings of structures, empowering project participants to seamlessly envision, strategize, and oversee construction endeavors. With AI integration, BIM platforms foster collaborative decision-making, identify design conflicts, and streamline resource management, epitomizing the evolution of construction methodologies.

Table of Contents

Executive Summary

• Market Overview
• Wheel of Fortune

Research Methodology

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

Parent Market Analysis

• Market Overview
• Market Size
• Market Dynamics
  • Drivers
  • Opportunities
  • Restraints
  • Challenges

Key Market Insights

• Technology Analysis
• Pricing Analysis
• Supply Chain Analysis
• Value Chain Analysis
• Ecosystem of the Market
• IP Analysis
• Trade Analysis
• Startup Analysis
• Raw Material Analysis
• Innovation Matrix
• Pipeline Product Analysis
• Macroeconomic Indicators
• Top Investment Analysis
• Key Success Factor
• Degree of Competition

Market Dynamics & Outlook

• Market Dynamics
  • Drivers
  • Opportunities
  • Restraints
  • Challenges
• Regulatory Landscape
• Porters Analysis
  • Competitive rivalry
  • Threat of Substitute Products
  • Bargaining Power of Buyers
  • Threat of New Entrants
  • Bargaining Power of Suppliers
• Skyquest Special Insights on Future Disruptions
  • Political Impact
  • Economic Impact
  • Social Impact
  • Technical Impact
  • Environmental Impact
  • Legal Impact

Global Artificial Intelligence in Construction Market by Offering

• Market Overview
• Solution
• Service

Global Artificial Intelligence in Construction Market by Application

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

Global Artificial Intelligence in Construction Market Size by Region

• Market Overview
• North America
  • USA
  • Canada
• Europe
  • Germany
  • Spain
  • France
  • UK
  • Rest of Europe
• Asia Pacific
  • China
  • India
  • Japan
  • South Korea
  • Rest of Asia-Pacific
• Latin America
  • Brazil
  • Rest of Latin America
• Middle East & Africa (MEA)
  • GCC Countries
  • South Africa
  • Rest of MEA

Competitive Landscape

• Top 5 Player Comparison
• Market Positioning of Key Players, 2021
• Strategies Adopted by Key Market Players
• Top Winning Strategies
  • By Development
  • By Company
  • By Year
• Recent Activities in the Market
• Key Companies Market Share (%), 2021

Key Company Profiles

• IBM
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Microsoft
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Oracle
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Autodesk
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Trimble
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• SAP
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Bentley Systems
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Caterpillar Inc.
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Komatsu Ltd.
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• ABB Ltd.
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Doxel Inc.
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Smartvid.io
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Procore Technologies
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• StructionSite
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• BuildingConnected
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments