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Service & Software Global AI in Construction Machinery Market 2026 by Company, Regions, Type and Application, Forecast to 2032

  • RnM4707162
    • |
  • 09 June, 2026
    • |
  • Global
    • |
  • 116 Pages
    • |
  • GIR
    • |
  • Service & Software

According to our (Global Info Research) latest study, the global AI in Construction Machinery market size was valued at US$ 3087 million in 2025 and is forecast to a readjusted size of US$ 10804 million by 2032 with a CAGR of 19.5% during review period.
AI in Construction Machinery refers to the application of artificial intelligence technologies—such as machine learning, computer vision, sensor fusion, autonomous control, and edge computing—within construction equipment including excavators, loaders, cranes, and rollers. These systems enable intelligent operation, optimized task execution, and partial or full autonomy by perceiving construction environments in real time, identifying operational targets, and optimizing machine movements. The technology enhances construction efficiency, reduces fuel and maintenance costs, and improves operational safety through applications such as autonomous excavation, intelligent fleet management, remote operation, and predictive maintenance.
AI in Construction Machinery is currently in a transition phase from assistive intelligence to partial autonomy in heavy construction equipment. Compared to general construction activities, construction machinery provides a highly standardized and controlled operational environment, making it one of the earliest heavy-industry sectors to achieve meaningful AI deployment. Autonomous excavators, unmanned haul trucks, and intelligent crane systems are already being commercialized in mining and large infrastructure projects.
From an industry perspective, the market is driven by a combination of traditional construction equipment manufacturers and AI technology providers, leading to a hybrid “hardware + software intelligence upgrade” model. In the short term, AI is primarily embedded as an assistive layer for functions such as operator assistance, automation of repetitive tasks, and predictive maintenance. In the long term, the industry aims to evolve toward semi-autonomous or fully autonomous construction machinery systems. However, adoption is constrained by environmental complexity, liability allocation, and safety certification requirements, resulting in a gradual rather than disruptive transformation.
Overall, AI in construction machinery is considered one of the most commercially scalable AI applications in heavy industry, with a clear pathway to adoption but a relatively conservative pace of full autonomy.
This report is a detailed and comprehensive analysis for global AI in Construction Machinery market. Both quantitative and qualitative analyses are presented by company, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2025, are provided.
Key Features:
Global AI in Construction Machinery market size and forecasts, in consumption value ($ Million), 2021-2032
Global AI in Construction Machinery market size and forecasts by region and country, in consumption value ($ Million), 2021-2032
Global AI in Construction Machinery market size and forecasts, by Type and by Application, in consumption value ($ Million), 2021-2032
Global AI in Construction Machinery market shares of main players, in revenue ($ Million), 2021-2026
The Primary Objectives in This Report Are:
To determine the size of the total market opportunity of global and key countries
To assess the growth potential for AI in Construction Machinery
To forecast future growth in each product and end-use market
To assess competitive factors affecting the marketplace
This report profiles key players in the global AI in Construction Machinery market based on the following parameters - company overview, revenue, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include Caterpillar, Komatsu, Sany, Hitachi, Volvo CE, Liebherr, XCMG, Hyundai Doosan, JCB, Kobelco, etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
Market segmentation
AI in Construction Machinery market is split by Type and by Application. For the period 2021-2032, the growth among segments provides accurate calculations and forecasts for Consumption Value by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.
Market segment by Type
AI Assist
Perception & Safety
Eco-Efficiency
Market segment by Mining
Generative AI Assistant
Fleet Orchestration
Others
Market segment by Application
Excavation Machinery
Loading Machinery
Roller Machinery
Cranes
Concrete Machinery
Others
Market segment by players, this report covers
Caterpillar
Komatsu
Sany
Hitachi
Volvo CE
Liebherr
XCMG
Hyundai Doosan
JCB
Kobelco
CNH Industrial
Market segment by regions, regional analysis covers
North America (United States, Canada and Mexico)
Europe (Germany, France, UK, Russia, Italy and Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia and Rest of Asia-Pacific)
South America (Brazil, Rest of South America)
Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)
The content of the study subjects, includes a total of 13 chapters:
Chapter 1, to describe AI in Construction Machinery product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of AI in Construction Machinery, with revenue, gross margin, and global market share of AI in Construction Machinery from 2021 to 2026.
Chapter 3, the AI in Construction Machinery competitive situation, revenue, and global market share of top players are analyzed emphatically by landscape contrast.
Chapter 4 and 5, to segment the market size by Type and by Application, with consumption value and growth rate by Type, by Application, from 2021 to 2032.
Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2021 to 2026.and AI in Construction Machinery market forecast, by regions, by Type and by Application, with consumption value, from 2027 to 2032.
Chapter 11, market dynamics, drivers, restraints, trends, Porters Five Forces analysis.
Chapter 12, the key raw materials and key suppliers, and industry chain of AI in Construction Machinery.
Chapter 13, to describe AI in Construction Machinery research findings and conclusion.


1 Market Overview

  • 1.1 Product Overview and Scope
  • 1.2 Market Estimation Caveats and Base Year
  • 1.3 Classification of AI in Construction Machinery by Type
    • 1.3.1 Overview: Global AI in Construction Machinery Market Size by Type: 2021 Versus 2025 Versus 2032
    • 1.3.2 Global AI in Construction Machinery Consumption Value Market Share by Type in 2025
    • 1.3.3 AI Assist
    • 1.3.4 Perception & Safety
    • 1.3.5 Eco-Efficiency
  • 1.4 Classification of AI in Construction Machinery by Mining
    • 1.4.1 Overview: Global AI in Construction Machinery Market Size by Mining: 2021 Versus 2025 Versus 2032
    • 1.4.2 Global AI in Construction Machinery Consumption Value Market Share by Mining in 2025
    • 1.4.3 Generative AI Assistant
    • 1.4.4 Fleet Orchestration
    • 1.4.5 Others
  • 1.5 Global AI in Construction Machinery Market by Application
    • 1.5.1 Overview: Global AI in Construction Machinery Market Size by Application: 2021 Versus 2025 Versus 2032
    • 1.5.2 Excavation Machinery
    • 1.5.3 Loading Machinery
    • 1.5.4 Roller Machinery
    • 1.5.5 Cranes
    • 1.5.6 Concrete Machinery
    • 1.5.7 Others
  • 1.6 Global AI in Construction Machinery Market Size & Forecast
  • 1.7 Global AI in Construction Machinery Market Size and Forecast by Region
    • 1.7.1 Global AI in Construction Machinery Market Size by Region: 2021 VS 2025 VS 2032
    • 1.7.2 Global AI in Construction Machinery Market Size by Region, (2021-2032)
    • 1.7.3 North America AI in Construction Machinery Market Size and Prospect (2021-2032)
    • 1.7.4 Europe AI in Construction Machinery Market Size and Prospect (2021-2032)
    • 1.7.5 Asia-Pacific AI in Construction Machinery Market Size and Prospect (2021-2032)
    • 1.7.6 South America AI in Construction Machinery Market Size and Prospect (2021-2032)
    • 1.7.7 Middle East & Africa AI in Construction Machinery Market Size and Prospect (2021-2032)

2 Company Profiles

  • 2.1 Caterpillar
    • 2.1.1 Caterpillar Details
    • 2.1.2 Caterpillar Major Business
    • 2.1.3 Caterpillar AI in Construction Machinery Product and Solutions
    • 2.1.4 Caterpillar AI in Construction Machinery Revenue, Gross Margin and Market Share (2021-2026)
    • 2.1.5 Caterpillar Recent Developments and Future Plans
  • 2.2 Komatsu
    • 2.2.1 Komatsu Details
    • 2.2.2 Komatsu Major Business
    • 2.2.3 Komatsu AI in Construction Machinery Product and Solutions
    • 2.2.4 Komatsu AI in Construction Machinery Revenue, Gross Margin and Market Share (2021-2026)
    • 2.2.5 Komatsu Recent Developments and Future Plans
  • 2.3 Sany
    • 2.3.1 Sany Details
    • 2.3.2 Sany Major Business
    • 2.3.3 Sany AI in Construction Machinery Product and Solutions
    • 2.3.4 Sany AI in Construction Machinery Revenue, Gross Margin and Market Share (2021-2026)
    • 2.3.5 Sany Recent Developments and Future Plans
  • 2.4 Hitachi
    • 2.4.1 Hitachi Details
    • 2.4.2 Hitachi Major Business
    • 2.4.3 Hitachi AI in Construction Machinery Product and Solutions
    • 2.4.4 Hitachi AI in Construction Machinery Revenue, Gross Margin and Market Share (2021-2026)
    • 2.4.5 Hitachi Recent Developments and Future Plans
  • 2.5 Volvo CE
    • 2.5.1 Volvo CE Details
    • 2.5.2 Volvo CE Major Business
    • 2.5.3 Volvo CE AI in Construction Machinery Product and Solutions
    • 2.5.4 Volvo CE AI in Construction Machinery Revenue, Gross Margin and Market Share (2021-2026)
    • 2.5.5 Volvo CE Recent Developments and Future Plans
  • 2.6 Liebherr
    • 2.6.1 Liebherr Details
    • 2.6.2 Liebherr Major Business
    • 2.6.3 Liebherr AI in Construction Machinery Product and Solutions
    • 2.6.4 Liebherr AI in Construction Machinery Revenue, Gross Margin and Market Share (2021-2026)
    • 2.6.5 Liebherr Recent Developments and Future Plans
  • 2.7 XCMG
    • 2.7.1 XCMG Details
    • 2.7.2 XCMG Major Business
    • 2.7.3 XCMG AI in Construction Machinery Product and Solutions
    • 2.7.4 XCMG AI in Construction Machinery Revenue, Gross Margin and Market Share (2021-2026)
    • 2.7.5 XCMG Recent Developments and Future Plans
  • 2.8 Hyundai Doosan
    • 2.8.1 Hyundai Doosan Details
    • 2.8.2 Hyundai Doosan Major Business
    • 2.8.3 Hyundai Doosan AI in Construction Machinery Product and Solutions
    • 2.8.4 Hyundai Doosan AI in Construction Machinery Revenue, Gross Margin and Market Share (2021-2026)
    • 2.8.5 Hyundai Doosan Recent Developments and Future Plans
  • 2.9 JCB
    • 2.9.1 JCB Details
    • 2.9.2 JCB Major Business
    • 2.9.3 JCB AI in Construction Machinery Product and Solutions
    • 2.9.4 JCB AI in Construction Machinery Revenue, Gross Margin and Market Share (2021-2026)
    • 2.9.5 JCB Recent Developments and Future Plans
  • 2.10 Kobelco
    • 2.10.1 Kobelco Details
    • 2.10.2 Kobelco Major Business
    • 2.10.3 Kobelco AI in Construction Machinery Product and Solutions
    • 2.10.4 Kobelco AI in Construction Machinery Revenue, Gross Margin and Market Share (2021-2026)
    • 2.10.5 Kobelco Recent Developments and Future Plans
  • 2.11 CNH Industrial
    • 2.11.1 CNH Industrial Details
    • 2.11.2 CNH Industrial Major Business
    • 2.11.3 CNH Industrial AI in Construction Machinery Product and Solutions
    • 2.11.4 CNH Industrial AI in Construction Machinery Revenue, Gross Margin and Market Share (2021-2026)
    • 2.11.5 CNH Industrial Recent Developments and Future Plans

3 Market Competition, by Players

  • 3.1 Global AI in Construction Machinery Revenue and Share by Players (2021-2026)
  • 3.2 Market Share Analysis (2025)
    • 3.2.1 Market Share of AI in Construction Machinery by Company Revenue
    • 3.2.2 Top 3 AI in Construction Machinery Players Market Share in 2025
    • 3.2.3 Top 6 AI in Construction Machinery Players Market Share in 2025
  • 3.3 AI in Construction Machinery Market: Overall Company Footprint Analysis
    • 3.3.1 AI in Construction Machinery Market: Region Footprint
    • 3.3.2 AI in Construction Machinery Market: Company Product Type Footprint
    • 3.3.3 AI in Construction Machinery Market: Company Product Application Footprint
  • 3.4 New Market Entrants and Barriers to Market Entry
  • 3.5 Mergers, Acquisition, Agreements, and Collaborations

4 Market Size Segment by Type

  • 4.1 Global AI in Construction Machinery Consumption Value and Market Share by Type (2021-2026)
  • 4.2 Global AI in Construction Machinery Market Forecast by Type (2027-2032)

5 Market Size Segment by Application

  • 5.1 Global AI in Construction Machinery Consumption Value Market Share by Application (2021-2026)
  • 5.2 Global AI in Construction Machinery Market Forecast by Application (2027-2032)

6 North America

  • 6.1 North America AI in Construction Machinery Consumption Value by Type (2021-2032)
  • 6.2 North America AI in Construction Machinery Market Size by Application (2021-2032)
  • 6.3 North America AI in Construction Machinery Market Size by Country
    • 6.3.1 North America AI in Construction Machinery Consumption Value by Country (2021-2032)
    • 6.3.2 United States AI in Construction Machinery Market Size and Forecast (2021-2032)
    • 6.3.3 Canada AI in Construction Machinery Market Size and Forecast (2021-2032)
    • 6.3.4 Mexico AI in Construction Machinery Market Size and Forecast (2021-2032)

7 Europe

  • 7.1 Europe AI in Construction Machinery Consumption Value by Type (2021-2032)
  • 7.2 Europe AI in Construction Machinery Consumption Value by Application (2021-2032)
  • 7.3 Europe AI in Construction Machinery Market Size by Country
    • 7.3.1 Europe AI in Construction Machinery Consumption Value by Country (2021-2032)
    • 7.3.2 Germany AI in Construction Machinery Market Size and Forecast (2021-2032)
    • 7.3.3 France AI in Construction Machinery Market Size and Forecast (2021-2032)
    • 7.3.4 United Kingdom AI in Construction Machinery Market Size and Forecast (2021-2032)
    • 7.3.5 Russia AI in Construction Machinery Market Size and Forecast (2021-2032)
    • 7.3.6 Italy AI in Construction Machinery Market Size and Forecast (2021-2032)

8 Asia-Pacific

  • 8.1 Asia-Pacific AI in Construction Machinery Consumption Value by Type (2021-2032)
  • 8.2 Asia-Pacific AI in Construction Machinery Consumption Value by Application (2021-2032)
  • 8.3 Asia-Pacific AI in Construction Machinery Market Size by Region
    • 8.3.1 Asia-Pacific AI in Construction Machinery Consumption Value by Region (2021-2032)
    • 8.3.2 China AI in Construction Machinery Market Size and Forecast (2021-2032)
    • 8.3.3 Japan AI in Construction Machinery Market Size and Forecast (2021-2032)
    • 8.3.4 South Korea AI in Construction Machinery Market Size and Forecast (2021-2032)
    • 8.3.5 India AI in Construction Machinery Market Size and Forecast (2021-2032)
    • 8.3.6 Southeast Asia AI in Construction Machinery Market Size and Forecast (2021-2032)
    • 8.3.7 Australia AI in Construction Machinery Market Size and Forecast (2021-2032)

9 South America

  • 9.1 South America AI in Construction Machinery Consumption Value by Type (2021-2032)
  • 9.2 South America AI in Construction Machinery Consumption Value by Application (2021-2032)
  • 9.3 South America AI in Construction Machinery Market Size by Country
    • 9.3.1 South America AI in Construction Machinery Consumption Value by Country (2021-2032)
    • 9.3.2 Brazil AI in Construction Machinery Market Size and Forecast (2021-2032)
    • 9.3.3 Argentina AI in Construction Machinery Market Size and Forecast (2021-2032)

10 Middle East & Africa

  • 10.1 Middle East & Africa AI in Construction Machinery Consumption Value by Type (2021-2032)
  • 10.2 Middle East & Africa AI in Construction Machinery Consumption Value by Application (2021-2032)
  • 10.3 Middle East & Africa AI in Construction Machinery Market Size by Country
    • 10.3.1 Middle East & Africa AI in Construction Machinery Consumption Value by Country (2021-2032)
    • 10.3.2 Turkey AI in Construction Machinery Market Size and Forecast (2021-2032)
    • 10.3.3 Saudi Arabia AI in Construction Machinery Market Size and Forecast (2021-2032)
    • 10.3.4 UAE AI in Construction Machinery Market Size and Forecast (2021-2032)

11 Market Dynamics

  • 11.1 AI in Construction Machinery Market Drivers
  • 11.2 AI in Construction Machinery Market Restraints
  • 11.3 AI in Construction Machinery Trends Analysis
  • 11.4 Porters Five Forces Analysis
    • 11.4.1 Threat of New Entrants
    • 11.4.2 Bargaining Power of Suppliers
    • 11.4.3 Bargaining Power of Buyers
    • 11.4.4 Threat of Substitutes
    • 11.4.5 Competitive Rivalry

12 Industry Chain Analysis

  • 12.1 AI in Construction Machinery Industry Chain
  • 12.2 AI in Construction Machinery Upstream Analysis
  • 12.3 AI in Construction Machinery Midstream Analysis
  • 12.4 AI in Construction Machinery Downstream Analysis

13 Research Findings and Conclusion

    14 Appendix

    • 14.1 Methodology
    • 14.2 Research Process and Data Source

    Summary:
    Get latest Market Research Reports on AI in Construction Machinery. Industry analysis & Market Report on AI in Construction Machinery is a syndicated market report, published as Global AI in Construction Machinery Market 2026 by Company, Regions, Type and Application, Forecast to 2032. It is complete Research Study and Industry Analysis of AI in Construction Machinery market, to understand, Market Demand, Growth, trends analysis and Factor Influencing market.

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