Global Intelligent Construction Machinery Market Growth (Status and Outlook) 2025-2031

The global Intelligent Construction Machinery market size is predicted to grow from US$ million in 2025 to US$ million in 2031; it is expected to grow at a CAGR of %from 2025 to 2031.

Intelligent Construction Machinery refers to the application of advanced sensors, control systems and artificial intelligence technology in construction machinery and equipment to enhance the automation and intelligence level of equipment and improve work efficiency and safety.

United States market for Intelligent Construction Machinery is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.

China market for Intelligent Construction Machinery is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.

Europe market for Intelligent Construction Machinery is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.

Global key Intelligent Construction Machinery players cover Breton, Caterpillar, CNH Global, Deere, Doosan, etc. In terms of revenue, the global two largest companies occupied for a share nearly % in 2024.

LPI (LP Information)' newest research report, the “Intelligent Construction Machinery Industry Forecast” looks at past sales and reviews total world Intelligent Construction Machinery sales in 2024, providing a comprehensive analysis by region and market sector of projected Intelligent Construction Machinery sales for 2025 through 2031. With Intelligent Construction Machinery sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world Intelligent Construction Machinery industry.

This Insight Report provides a comprehensive analysis of the global Intelligent Construction Machinery landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyses the strategies of leading global companies with a focus on Intelligent Construction Machinery portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global Intelligent Construction Machinery market.

This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for Intelligent Construction Machinery and breaks down the forecast by Type, by Application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global Intelligent Construction Machinery.

This report presents a comprehensive overview, market shares, and growth opportunities of Intelligent Construction Machinery market by product type, application, key players and key regions and countries.

Segmentation by Type:
Excavating Machinery
Loading Machinery
Road Roller Machinery
Hoisting Machinery
Concrete Machinery
Others

Segmentation by Application:
Public Construction
Road Construction
Others

This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries

The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
Breton
Caterpillar
CNH Global
Deere
Doosan
Guangxi Liugong
Hitachi Construction Machinery
Hyundai Construction Equipment Company
JCB
Kobelco
Komatsu
Kubota
Liebherr Group
Lonking Holdings
SANY Group
Shandong Lingong
Shantui Construction Machinery
Sinomach Changlin Company
Sunward Intelligent
XCMG
Zoomlion

Please note: The report will take approximately 2 business days to prepare and deliver. Show more