AMA Research has recently unveiled a study on the AI in Construction Market, presenting over 100+ market data tables, pie charts, and figures. This research evaluation of the market aims to study upcoming trends, growth determinants, industry perspectives, and substantiated market insights to make forecasts up to 2028. The study divides the market analysis by key regions that are propelling market growth. Additionally, this section outlines the potential impact of various segments and applications on the market’s future trajectory. The comprehensive data is founded on present trends and significant historical achievements. Some of the key players profiled in the study are IBM (United States), Microsoft (United States), Oracle (United States), SAP (Germany), Alice Technologies (United States), eSUB (United States), Smartvid.io (United States), Aurora Computer Services(England), Autodesk (United States), Building System Planning (United States).
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According to AMA Research, the Global AI in Construction market to witness a CAGR of 34.1 during forecast period of 2023-2029. The market is segmented by by Application (Project management, Field management, Risk management, Schedule management, Supply chain management, Others), Organization Size (Residential, Institutional commercials, Heavy construction, Others), Deployment Type (Cloud, On-premises), Technology (Machine learning and deep learning, Natural Language Processing (NLP)), Industry Type (Small and Medium-sized Enterprises (SMEs), Large enterprises), Stage (Pre-construction, Construction stage, Post-construction), Component (Solutions (Design and planning, Revenue estimation, Virtual assistant, Demand forecasting, Predictive maintenance, Others (root cause analysis and customer/buyer analysis)), Services (Integration and deployment, training and consulting, Support and maintenance)) and by Geography (North America, South America, Europe, Asia Pacific, and MEA).
Market Scope:
AI in construction refers to the integration of artificial intelligence (AI) technologies and techniques into various aspects of the construction industry to enhance efficiency, productivity, safety, and decision-making processes. These technologies encompass a wide range of applications, including predictive analytics, machine learning algorithms, computer vision, robotics, and natural language processing. AI systems can analyze vast amounts of data collected from sensors, drones, and other sources to optimize project planning, scheduling, and resource allocation. Additionally, AI-powered tools can improve quality control by detecting defects or anomalies in construction materials or processes in real-time. Robotics and automation driven by AI enable tasks such as bricklaying, welding, and site inspections to be performed with greater speed and precision.
Market Drivers:
Rising Demand for AI-based Platforms and Solutions and Adoption of Industry 4.0 and IIoT
Construction Labor Shortage
Market Trends:
The Growing Need for More Safety Measures at Construction Sites
Rising Requirement to Reduce Production Costs
Challenges:
Monitoring the Highly Unstructured Jobsite Environments
Competitive Analysis of the AI in Construction Market:
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The report tackles the following crucial inquiries:
Which market segments are delivering the highest revenue?
What is the geographical perspective for different market segments?
Where do future investment prospects lie, taking into account recent trends?
Which segments and regions hold promise as potential and niche growth areas?
How do various market dynamics impact the market, and what is the market’s prospective evolution?
What are the existing obstacles in the AI in Construction sector?
Who are the primary actors in the AI in Construction Market, and how does the analysis of market share appear?
Highlights from the Global AI in Construction Market Study
1. Market Overview
2. Comprehensive Analysis of Factors Impacting the Global AI in Construction Market
-Evaluation of the Value Chain
-Examination of Growth Drivers, Trends, and Challenges
-Porters 5-Forces Analysis
-PESTEL Analysis
3. AI in Construction Market Segmentation by Type (2023-2028)
Categorization into
4. Market Segmentation by Applications/End Users (2023-2028) [Project management, Field management, Risk management, Schedule management, Supply chain management, Others]
5. Geographical Landscape of the AI in Construction Market
6. In-depth Breakdown of Market Size for Each Respective Country
7. Competitive Scenario
-Examination of Market Share among Key Players
-Detailed Company Profiles
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Thanks for reading this article, we can also provide customized report as per company’s specific needs. You can also get separate chapter wise or region wise report versions including North America, Europe or Asia.
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