建築領域人工智慧的全球市場規模、佔有率、成長分析（按產品供應、按應用） - 2024-2031 年產業預測

Global Artificial Intelligence in Construction Market Size, Share, Growth Analysis, By Offering(Solution, Service), By Application(Asset Management, Project Management) - Industry Forecast 2024-2031

出版日期: 2024年03月08日 | 出版商:

SkyQuest | 英文 197 Pages | 商品交期: 3-5個工作天內

價格

簡介目錄

2022年建築領域人工智慧的全球市場規模將為6.6567億美元，預計將從2023年的 8.9266 億美元成長到2031年的 93.3508 億美元，預測期內（2024-2031年）年複合成長率為 34.1%。

建築業透過人工智慧（AI）的整合取得長足進步，從根本上重塑傳統做法。人工智慧技術應用於施工過程的各個階段，從最初的設計和規劃到計劃管理和持續維護，提高了效率、準確性和安全標準。特別是，建築資訊模型（BIM）利用人工智慧演算法開發全面的 3D 模型並促進相關人員的計劃視覺化。人工智慧驅動的預測分析簡化了計劃調度、資源分配和風險評估，減少了延誤和預算超支。配備人工智慧功能的無人機和自動駕駛汽車加快實地調查和資料收集等任務的速度，而這些任務曾經是集中的過程。透過人工智慧對潛在危險的預測分析和遵守安全通訊協定來增強安全措施，而人工智慧主導的影像識別系統的即時缺陷辨識則增強了品管。此外，人工智慧驅動的能源管理系統透過最佳化建築物內的資源消耗來促進永續性。儘管人工智慧在建築領域的應用前景廣闊，但挑戰仍然存在，包括資料隱私問題、整合複雜性以及提高勞動力技能的需要。也就是說，隨著人工智慧技術的發展，建築業將受益於生產力的提高、成本的降低和更安全的工作環境。

市場概況
北美洲
- 美國
- 加拿大
歐洲
- 德國
- 西班牙
- 法國
- 英國
- 其他歐洲國家地區
亞太地區
- 中國
- 印度
- 日本
- 韓國
- 其他亞太地區
拉丁美洲
- 巴西
- 其他拉丁美洲地區
中東和非洲（MEA）
- 海灣合作理事會國家
- 南非
- 其他中東、非洲地區

競爭形勢

前5名企業對比
主要企業市場定位（2021年）
主要市場參與者所採取的策略
關鍵成功策略
近期市集活動
主要企業市場佔有率（2021年）

主要企業簡介

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

簡介目錄

Product Code: SQMIG45A2145

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.

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