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Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. The term may also be applied to any machine that exhibits traits associated with a human mind such as learning and problem-solving. Artificial intelligence has evolved with improved safety standards and assist in predicting hazards at construction sites before they take place. Therefore, the construction companies have leveraged the artificial intelligence technology in terms of predictive maintenance and risk management solutions. Also, the AI in the construction industry is highly adopted for the development of industrial internet of things (IIoT) based applications for construction sites. IIoT assists project managers with efficient outputs and reduced labor costs, which boosts the demand for artificial intelligence in the industry. Construction companies are focusing on investments in IIoT applications development to implement industry 4.0 and support full automation at their job sites. The Artificial Intelligence (AI) in Construction industry can be broken down into several segments, Solution, Service, etc. Across the world, the major players cover Autodesk, IBM, Microsoft, etc.
In the global companies about the artificial Intelligence (AI) in construction, the IBM had the maximum market share with over 32% in 2019.
Between the two types of breakdown about artificial Intelligence (AI) in construction, the solution held more market share with around 67% in 2019.
This report provides an overview of the global Artificial Intelligence (AI) in Construction market and its size, analyzing global market trends based on historical revenue data for 2021-2025, estimates for 2026, and projected CAGRs through 2032.
The study covers key producers of Artificial Intelligence (AI) in Construction and revenue in major regions and countries, assesses future market potential, and highlights priority regions and countries for segmenting the market into sub-sectors, with country-specific market value data for the U.S., Canada, Mexico, Brazil, China, Japan, South Korea, Southeast Asia, India, Germany, the U.K., Italy, the Middle East, Africa, and other countries.
The report also presents Artificial Intelligence (AI) in Construction revenue, market share, and industry ranking for the main manufacturers for 2021-2026, identifies the major stakeholders in the global market, and analyzes their competitive landscape and market positioning based on recent developments and segmental revenues.
In addition, the report analyzes segment data by Type and Application—covering revenue and growth rates—for 2021-2032, and evaluates and forecasts the Artificial Intelligence (AI) in Construction market size, projected growth trends, production technologies, key applications, and end-use industries.
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (product type, application, etc), including the market size of each market segment, future development potential, and so on. Revenue of Artificial Intelligence (AI) in Construction in global and regional level. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Analysis key trends, drivers, challenges, and opportunities within the global Artificial Intelligence (AI) in Construction industry.
Chapter 3: Detailed analysis of Artificial Intelligence (AI) in Construction companies' competitive landscape, revenue, market share and industry ranking, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by type, covering the revenue, and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by application, covering the revenue, and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6: Provides profiles of key companies, introducing the basic situation of the main companies in the market in detail, including product descriptions and specifications, Artificial Intelligence (AI) in Constructionrevenue, gross margin, and recent development, etc.
Chapter 7: North America (US & Canada) by type, by application and by country, revenue for each segment.
Chapter 8: Europe by type, by application and by country, revenue for each segment.
Chapter 9: China by type, and by application, revenue for each segment.
Chapter 10: Asia (excluding China) by type, by application and by region, revenue for each segment.
Chapter 11: South America, Middle East & Africa by type, by application and by country, revenue for each segment.
Chapter 12: Concluding Insights of the report.
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