Global Artificial Intelligence (AI) in Construction Competitive Landscape Professional Research Report 2024

Global Artificial Intelligence (AI) in Construction Competitive Landscape Professional Research Report 2024

Research Summary

Artificial Intelligence (AI) in construction refers to the utilization of machine learning algorithms and other technological innovations to automate various processes involved in the building and construction industry. AI can help streamline project management, reduce costs, improve safety, manage risk, and enhance the overall efficiency of construction projects. The technology is used to predict potential safety hazards and create more accurate project estimates using historical data, which assists in reducing budget overruns. AI applications in construction include autonomous robots, drones, and virtual assistants.

According to DIResearch's in-depth investigation and research, the global Artificial Intelligence (AI) in Construction market size will reach XX US$ Million in 2024, and is expected to reach XX US$ Million in 2030, with a CAGR of XX% (2025-2030). Among them, the China market has changed rapidly in the past few years. The market size in 2024 will be XX US$ Million, accounting for approximately XX% of the world. It is expected to reach XX US$ Million in 2030, and the global share will reach XX%.

The major global manufacturers of Artificial Intelligence (AI) in Construction include Autodesk, IBM, Microsoft, Oracle, SAP etc. The global players competition landscape in this report is divided into three tiers. The first tiers is the global leading enterprise, which occupies a major market share, is in a leading position in the industry, has strong competitiveness and influence, and has a large revenue scale; the second tiers has a certain share and popularity in the market, actively follows the industry leaders in product, service or technological innovation, and has a medium revenue scale; the third tiers has a smaller share in the market, has a lower brand awareness, mainly focuses on the local market, and has a relatively small revenue scale.

This report studies the market size, price trends and future development prospects of Artificial Intelligence (AI) in Construction. Focus on analysing the market share, product portfolio, revenue and gross profit margin of global major manufacturers, as well as the market status and trends of different product types and applications in the global Artificial Intelligence (AI) in Construction market. The report data covers historical data from 2019 to 2023, base year in 2024 and forecast data from 2025 to 2030.

The regions and countries in the report include North America, Europe, China, APAC (excl. China), Latin America and Middle East and Africa, covering the Artificial Intelligence (AI) in Construction market conditions and future development trends of key regions and countries, combined with industry-related policies and the latest technological developments, analyze the development characteristics of Artificial Intelligence (AI) in Construction industries in various regions and countries, help companies understand the development characteristics of each region, help companies formulate business strategies, and achieve the ultimate goal of the company's global development strategy.

The data sources of this report mainly include the National Bureau of Statistics, customs databases, industry associations, corporate financial reports, third-party databases, etc. Among them, macroeconomic data mainly comes from the National Bureau of Statistics, International Economic Research Organization; industry statistical data mainly come from industry associations; company data mainly comes from interviews, public information collection, third-party reliable databases, and price data mainly comes from various markets monitoring database.

Global Key Manufacturers of Artificial Intelligence (AI) in Construction Include:

Autodesk

IBM

Microsoft

Oracle

SAP

Artificial Intelligence (AI) in Construction Product Segment Include:

Solution

Service

Artificial Intelligence (AI) in Construction Product Application Include:

Project Management

Field Management

Risk Management

Schedule Management

Other

Chapter Scope

Chapter 1: Product Research Range, Product Types and Applications, Market Overview, Market Situation and Trends

Chapter 2: Global Artificial Intelligence (AI) in Construction Industry PESTEL Analysis

Chapter 3: Global Artificial Intelligence (AI) in Construction Industry Porter’s Five Forces Analysis

Chapter 4: Global Artificial Intelligence (AI) in Construction Major Regional Market Size and Forecast Analysis

Chapter 5: Global Artificial Intelligence (AI) in Construction Market Size and Forecast by Type and Application Analysis

Chapter 6: North America Artificial Intelligence (AI) in Construction Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)

Chapter 7: Europe Artificial Intelligence (AI) in Construction Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)

Chapter 8: China Artificial Intelligence (AI) in Construction Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)

Chapter 9: APAC (Excl. China) Artificial Intelligence (AI) in Construction Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)

Chapter 10: Latin America Artificial Intelligence (AI) in Construction Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)

Chapter 11: Middle East and Africa Artificial Intelligence (AI) in Construction Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)

Chapter 12: Global Artificial Intelligence (AI) in Construction Competitive Analysis of Key Manufacturers (Revenue, Market Share, Regional Distribution and Industry Concentration)

Chapter 13: Key Company Profiles (Product Portfolio, Revenue and Gross Margin)

Chapter 14: Industrial Chain Analysis, Include Raw Material Suppliers, Distributors and Customers

Chapter 15: Research Findings and Conclusion

Chapter 16: Methodology and Data Sources