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封面
市场调查报告书
商品编码
1571443

建筑业人工智慧市场规模、份额、趋势分析报告：按产品、按应用、按阶段、按部署、按行业、按组织规模、按地区、细分市场预测：2024-2030

Artificial Intelligence In Construction Market Size, Share & Trends Analysis Report By Offering (Solution), By Application, By Stage, By Deployment, By Industry, By Organization Size, By Region, And Segment Forecasts, 2024 - 2030
出版日期: | 出版商: Grand View Research | 英文 100 Pages | 商品交期: 2-10个工作天内

价格
简介目录

建筑领域人工智慧市场的成长与趋势：

Grand View Research, Inc.最新报告显示，到2030年，全球人工智慧在建筑领域的市场规模预计将达到169.6亿美元，预测期内复合年增长率为26.9%。

由于管理风险和加强现场安全措施的需求不断增加，建筑解决方案中的人工智慧正在迅速采用。专门的人工智慧解决方案经过架构图像的训练，以帮助进行预测性维护。这些人工智慧解决方案可以审查数千张图像来识别风险因素，并以人类无法达到的规模提供对风险指标的见解。此外，人工智慧变得更具预测性，能够观察现场发生的活动并据此预测这些活动的结果。

人工智慧还可以根据合约类型、计划规模和计划经理能力水准帮助预测成本超支。这样，人工智慧透过提供现场实际花费时间和成本的即时回馈来帮助降低生产成本。现场部署了支援人工智慧的摄影机来监控即时活动。有几个因素推动了建筑市场中的人工智慧，包括越来越多地采用风险缓解和管理解决方案、预测性维护、成本超支预防以及人工智慧支援的施工后解决方案。

预计亚太市场在预测期内将出现显着成长。这是由于新兴国家的建筑公司越来越多地采用人工智慧解决方案和服务。由于该行业存在多种风险因素，降低现场风险是积极影响市场成长的关键因素之一。人工智慧可以帮助提供预测性维护和更好的风险管理。各行业正在采用人工智慧技术来获得见解，以提高生产力并确保工作现场安全。

建筑市场中的人工智慧报告亮点

  • 建设产业计划管理和风险管理解决方案的快速采用为该行业的人工智慧解决方案创造了巨大的潜力。
  • 人工智慧的一些好处，例如防止成本超支、建筑生成设计、风险缓解、计划规划、生产力提高和安全性，对市场成长做出了重大贡献。
  • 市场参与者专注于提供业界先进的人工智慧和巨量资料，提供先进的功能，例如改进的安全性、施工后解决方案、预算管理和计划规划。
  • 主要市场参与者正在考虑与提供创新产品的新兴企业合作或收购，以扩大其市场推广。

目录

第一章调查方法和范围

第 2 章执行摘要

第 3 章 全球建筑领域人工智慧 (AI) 市场的变数、趋势与范围

  • 市场介绍/系统展望
  • 市场规模及成长前景
  • 市场动态
    • 市场驱动因素分析
    • 市场限制因素分析
  • 全球建筑领域的人工智慧（AI）分析工具
    • 波特的分析
    • PESTEL分析

第 4 章：全球建筑领域的人工智慧 (AI) 市场：提供产品评估和趋势分析

  • 细分仪表板
  • 建筑领域的全球人工智慧 (AI) 市场：产品变化分析，百万美元，2023 年和 2030 年
  • 解决方案
  • 服务

第五章 全球建筑领域人工智慧（AI）市场：应用预估与趋势分析

  • 细分仪表板
  • 建筑领域的全球人工智慧 (AI) 市场：应用变化分析，百万美元，2023 年和 2030 年
  • 资产管理
  • 计划管理
  • 风险管理
  • 日程管理
  • 供应链管理
  • 其他的

第六章 全球建筑领域人工智慧（AI）市场：阶段预估与趋势分析

  • 细分仪表板
  • 全球建筑领域人工智慧 (AI) 市场：阶段变化分析，百万美元，2023-2030 年
  • 施工阶段
  • 施工后

第七章 全球建筑领域人工智慧（AI）市场：发展预估与趋势分析

  • 细分仪表板
  • 全球建筑领域人工智慧 (AI) 市场：演变波动分析，百万美元，2023 年和 2030 年
  • 云
  • 本地

第八章 全球建筑领域人工智慧（AI）市场：产业预估与趋势分析

  • 细分仪表板
  • 全球建筑领域的人工智慧 (AI)：产业变化分析，百万美元，2023 年和 2030 年
  • 住宅
  • 公共基础设施
  • 重型设备建造
  • 其他的

第九章 全球建筑领域人工智慧（AI）市场：组织规模估算及趋势分析

  • 细分仪表板
  • 全球建筑领域的人工智慧 (AI)：领先变化分析，百万美元，2023 年和 2030 年
  • 小型企业
  • 大公司

第十章 全球建筑领域人工智慧（AI）：区域估算与趋势分析

  • 2023 年和 2030 年按地区分類的全球建筑业人工智慧 (AI)市场占有率（百万美元）
  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 英国
    • 德国
    • 法国
  • 亚太地区
    • 中国
    • 日本
    • 印度
    • 韩国
    • 澳洲
  • 拉丁美洲
    • 巴西
    • 阿根廷
  • 中东/非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 南非

第十一章竞争格局

  • 最新趋势与影响分析：主要市场参与企业
  • 公司分类
  • 企业热力图分析
  • 公司简介
    • Autodesk Inc.
    • International Business Machines Corporation
    • Microsoft
    • Oracle
    • SAP SE
    • Trimble Inc.
    • ALICE Technologies Inc.
    • BuildingConnected
    • The Access Group
    • Doxel.
简介目录
Product Code: GVR-4-68038-139-9

Artificial Intelligence In Construction Market Growth & Trends:

The global artificial intelligence in construction market size is expected to reach USD 16.96 billion by 2030, registering a CAGR of 26.9% during the forecast period, according to a new report by Grand View Research, Inc. Artificial intelligence in building solutions is being adopted rapidly due to the increasing need for risk management and deployment of more safety measures at the job site. Specialized artificial intelligence solutions are trained on architecture images, which helps in predictive maintenance. These artificial intelligence solutions can review thousands of images and identify risk factors to provide insights into risk indicators at a scale that cannot be achieved by humans. Furthermore, artificial intelligence has become more predictive and can observe the activities taking place at job sites, based on which it can predict the results of these activities.

Also, artificial intelligence helps in predicting the cost overruns based on contract type, project size, and the competence level of project managers. Thus, artificial intelligence helps to reduce the production costs by providing real-time feedback on actual time and expenses spent on the job site. AI-enabled cameras are deployed on the job site to monitor real-time activities. Several factors, such as growing adoption of risk mitigation and management solutions, predictive maintenance, prevention of cost overruns, and AI-enabled post-construction solutions, have spurred the AI in construction market.

The Asia-Pacific regional market is expected to witness substantial growth over the forecast period. This is owing to the growing adoption of AI-enabled solutions and services by the builders in emerging economies. Mitigating the risks at job sites is one of the significant factors influencing the market's growth positively as the industry has several risk factors. Artificial intelligence helps in providing predictive maintenance and better risk management. The industry is adopting artificial intelligence technology to obtain insights to increase productivity and ensure safety at job sites.

Artificial Intelligence In Construction Market Report Highlights:

  • Considerable surge in deployment of project management and risk management solutions in the industry will create a massive potential for artificial intelligence solutions in the industry
  • Several benefits of AI including prevention of cost overruns, generative designs for buildings, risk mitigation, project planning, increased productivity, and safety has significantly contributed to market growth
  • Market players are focusing on providing advanced AI and big data in the industry, which offers advanced features, such as improved safety, post-construction solutions, budget management, and project planning
  • Key market players are considering partnerships and acquisition of startups providing innovative products to expand their outreach in the market

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, 2023 & 2030
  • 4.3. Solution
    • 4.3.1. Solution Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 4.4. Service
    • 4.4.1. Service Market Revenue Estimates and Forecasts, 2018 - 2030 (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, 2023 & 2030
  • 5.3. Asset Management
    • 5.3.1. Asset Management Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 5.4. Project Management
    • 5.4.1. Project Management Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 5.5. Risk Management
    • 5.5.1. Risk Management Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 5.6. Schedule Management
    • 5.6.1. Schedule Management Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 5.7. Supply Chain Management
    • 5.7.1. Supply Chain Management Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 5.8. Others
    • 5.8.1. Others Market Revenue Estimates and Forecasts, 2018 - 2030 (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, 2023 & 2030
    • 6.2.1. Pre-Construction Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 6.3. Construction-Stage
    • 6.3.1. Construction-Stage Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 6.4. Post-Construction
    • 6.4.1. Post-Construction Market Revenue Estimates and Forecasts, 2018 - 2030 (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, 2023 & 2030
  • 7.3. Cloud
    • 7.3.1. Cloud Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 7.4. On-Premises
    • 7.4.1. On-Premises Market Revenue Estimates and Forecasts, 2018 - 2030 (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, 2023 & 2030
  • 8.3. Residential
    • 8.3.1. Residential Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 8.4. Public Infrastructure
    • 8.4.1. Public Infrastructure Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 8.5. Heavy Construction
    • 8.5.1. Heavy Construction Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 8.6. Others
    • 8.6.1. Others Market Revenue Estimates and Forecasts, 2018 - 2030 (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, 2023 & 2030
  • 9.3. Small & Medium-sized Enterprises (SMEs)
    • 9.3.1. Small & Medium-sized Enterprises (SMEs) Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 9.4. Large Enterprises
    • 9.4.1. Large Enterprises Market Revenue Estimates and Forecasts, 2018 - 2030 (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, 2023 & 2030, USD Million
  • 10.2. North America
    • 10.2.1. North America Artificial Intelligence (AI) In Construction Market Estimates and Forecasts, 2018 - 2030 (USD Million)
    • 10.2.2. U.S.
      • 10.2.2.1. U.S. Artificial Intelligence (AI) In Construction Market Estimates and Forecasts, 2018 - 2030 (USD Million)
    • 10.2.3. Canada
      • 10.2.3.1. Canada Artificial Intelligence (AI) In Construction Market Estimates and Forecasts, 2018 - 2030 (USD Million)
    • 10.2.4. Mexico
      • 10.2.4.1. Mexico Artificial Intelligence (AI) In Construction Market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 10.3. Europe
    • 10.3.1. Europe Artificial Intelligence (AI) In Construction Market Estimates and Forecasts, 2018 - 2030 (USD Million)
    • 10.3.2. UK
      • 10.3.2.1. UK Artificial Intelligence (AI) In Construction Market Estimates and Forecasts, 2018 - 2030 (USD Million)
    • 10.3.3. Germany
      • 10.3.3.1. Germany Artificial Intelligence (AI) In Construction Market Estimates and Forecasts, 2018 - 2030 (USD Million)
    • 10.3.4. France
      • 10.3.4.1. France Artificial Intelligence (AI) In Construction Market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 10.4. Asia Pacific
    • 10.4.1. Asia Pacific Artificial Intelligence (AI) In Construction Market Estimates and Forecasts, 2018 - 2030 (USD Million)
    • 10.4.2. China
      • 10.4.2.1. China Artificial Intelligence (AI) In Construction Market Estimates and Forecasts, 2018 - 2030 (USD Million)
    • 10.4.3. Japan
      • 10.4.3.1. Japan Artificial Intelligence (AI) In Construction Market Estimates and Forecasts, 2018 - 2030 (USD Million)
    • 10.4.4. India
      • 10.4.4.1. India Artificial Intelligence (AI) In Construction Market Estimates and Forecasts, 2018 - 2030 (USD Million)
    • 10.4.5. South Korea
      • 10.4.5.1. South Korea Artificial Intelligence (AI) In Construction Market Estimates and Forecasts, 2018 - 2030 (USD Million)
    • 10.4.6. Australia
      • 10.4.6.1. Australia Artificial Intelligence (AI) In Construction Market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 10.5. Latin America
    • 10.5.1. Latin America Artificial Intelligence (AI) In Construction Market Estimates and Forecasts, 2018 - 2030 (USD Million)
    • 10.5.2. Brazil
      • 10.5.2.1. Brazil Artificial Intelligence (AI) In Construction Market Estimates and Forecasts, 2018 - 2030 (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, 2018 - 2030 (USD Million)
    • 10.6.2. Saudi Arabia
      • 10.6.2.1. Saudi Arabia Artificial Intelligence (AI) In Construction Market Estimates and Forecasts, 2018 - 2030 (USD Million)
    • 10.6.3. UAE
      • 10.6.3.1. UAE Artificial Intelligence (AI) In Construction Market Estimates and Forecasts, 2018 - 2030 (USD Million)
    • 10.6.4. South Africa
      • 10.6.4.1. South Africa Artificial Intelligence (AI) In Construction Market Estimates and Forecasts, 2018 - 2030 (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