Generative AI in Construction Market was valued at $2.32 billion in 2022 and is projected to grow from $2.53 billion in 2023 to $16.1 billion by 2032

Generative AI in Construction Market By Application (Design Automation, Project Management, Risk Assessment, Building Information Modeling, Cost Estimation), By Technology Adoption Stage (Early Adoption, Growth, Maturity, Decline), By Deployment Mode (On-Premise, Cloud-Based), By Target User (Architects, Civil Engineers, Construction Managers, Contractors, Real Estate Developers), By Project Type (Residential, Commercial, Infrastructure, Industrial) and By Region (North America, Latin America, Asia Pacific, Europe, and Middle East & Africa), and COVID-19 Analysis - Global Forecast 2024 to 2032

According to Adroit Market Research, the global generative AI in construction market was valued at $2.32 billion in 2022 and increased to $2.53 billion in 2023. The market is projected to grow at a compound annual growth rate (CAGR) of 27.43% from 2024 to 2032, reaching an estimated $16.1 billion. This significant growth is fueled by increasing adoption of AI-powered design automation, predictive analytics, and enhanced project management tools, revolutionizing efficiency and innovation in the construction sector.

📌 Market Size (2022): $2.32 billion
📌 Market Size (2023): $2.53 billion
📌 Projected Growth: 27.43% CAGR (2024-2032)
📈 Estimated Market Size (2032): $16.1 billion

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Comprehensive Analysis of the Global Generative AI in Construction Market

The extensive examination of the global Generative AI in Construction Market delves into the profiles of key supplier companies. Analysts highlight that this detailed documentation stems from rigorous research initiatives and the aggregation of evaluations across various pivotal factors that are progressively shaping the growth of the international Generative AI in Construction sector. The study segments leading global manufacturers based on metrics such as sales, revenue, and, where pertinent, pricing strategies. Its main aim is to provide both qualitative and quantitative perspectives of the industry across different geographic regions and countries.

The enforcement of strict lockdown measures to mitigate the COVID-19 pandemic has significantly disrupted supply and demand patterns, impacting numerous businesses worldwide. Beyond the immediate fluctuations in short-term market profitability, it is anticipated that certain segments will encounter substantial challenges even as the global economy recovers from the pandemic. Essentially, nearly every business across various sectors has recalibrated their financial strategies to secure profitability in the upcoming years.

Moreover, the research evaluates regional growth rates, overall market size, expenditure data, and profitability analyses. A comprehensive assessment of competitive dynamics is included to furnish a substantial competitive advantage. Geographic analysis has been performed based on market share, projected growth, and key countries. A select group of major corporations commands a significant portion of this market. Competition within the global Generative AI in Construction industry is intensifying as leading companies vie to surpass each other. The report encompasses detailed revenue analyses, methodologies employed, product specifications, and profiles of significant market players.

To achieve optimal outcomes, essential market strategies are reviewed from both technological and commercial perspectives. Additionally, consumers can benefit from in-depth market research by gaining a better understanding of the analysis and accessing relevant data. The study offers readers a broad overview of the industry, assisting them in comprehending the competitive landscape of the international Generative AI in Construction Market.

Key Highlights of the Report:
• Identifies numerous lucrative opportunities for major industry players.
• Provides clients with measurable insights into the current market conditions.
• Includes strategic business plans of key market competitors.
• Presents a thorough examination of the target market, highlighting factors such as drivers, opportunities, and threats.
• Equips stakeholders with information to make informed investment decisions.
• Offers a market overview, encompassing key drivers and risk factors.

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Reasons to Purchase This Report:
• The global Generative AI in Construction Market research study offers valuable insights into the number of prominent companies operating on an international scale.
• It includes comprehensive company financials, technological advancements, supply chain/value chain trends, and significant innovations and developments.
• The report details mergers, acquisitions, joint ventures, key focus areas, investments, and market presence.
• Provides essential information about the target market's revenue, growth rate, and industry share, along with details on current driving forces, macro trends, and restraints.

Generative AI in Construction Market Competitive Landscape:

Prominent participants in the worldwide Generative AI in Construction sector, consisting of technology enterprises and construction firms, are at the forefront of innovation through the creation of sophisticated algorithms and AI applications that optimize design processes and project administration. Their partnerships facilitate the incorporation of AI technologies, enhancing workflow efficiency and elevating the overall results of projects.

Prominent contributors to the Generative AI sector within the construction industry consist of Autodesk, TRIRIGA, Builders, Lendlease, PlanGrid, OpenAI, Doxel, Skycatch, IBM, Siemens, nTopology, Trimble, C3.ai, RIB Software, Graphisoft, and Procore Technologies.

Latest Trends and Innovation in the Global Generative AI in Construction Market:

• In June 2023, Autodesk announced a collaboration with Built Robotics to integrate AI-driven construction automation into Autodesk Construction Cloud. This partnership aims to leverage generative design algorithms to improve project efficiency and accuracy.
• In September 2023, Trimble acquired Viewpoint, a company specializing in construction management software. This acquisition is expected to enhance Trimble's ability to provide generative AI solutions that improve project planning and resource allocation.
• In March 2023, OpenAI partnered with AECOM to develop AI applications that utilize generative design principles to optimize infrastructure planning and construction processes. This collaboration seeks to reduce project costs and time while enhancing sustainability.
• In August 2023, Unity Technologies announced the launch of a new generative AI tool specifically aimed at the architecture, engineering, and construction sectors to facilitate real-time collaboration and design visualization, highlighting the growing importance of immersive technologies in construction.
• In April 2023, Bentley Systems acquired S-Cube, a startup focused on generative AI for civil engineering design. This acquisition aims to integrate innovative generative design capabilities into Bentley's existing software offerings to enhance design efficiency and reduce material waste.
• In February 2023, the collaboration between Microsoft and EPAM Systems was unveiled, focusing on the development of a generative AI framework for the construction industry. This partnership aims to integrate machine learning capabilities into construction workflows for improved project management.
• In January 2023, Cintoo launched a generative AI-based digital twin platform that allows construction managers to simulate various construction scenarios, enhancing decision-making processes and minimizing risks during project execution.

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Segments of the Generative AI in Construction Market

By Application:
• Design Automation
• Project Management
• Risk Assessment
• Building Information Modeling
• Cost Estimation

By Technology Adoption Stage:
• Early Adoption
• Growth
• Maturity
• Decline

By Deployment Mode:
• On-Premise
• Cloud-Based

By Target User:
• Architects
• Civil Engineers
• Construction Managers
• Contractors
• Real Estate Developers

By Project Type:
• Residential
• Commercial
• Infrastructure
• Industrial

Regional Overview
• North America
• Europe
• Asia Pacific
• Middle East and Africa
• Latin America

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