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Autonomous Construction Equipment Market Size - By Product (Earthmoving & Roadbuilding Equipment, Material Handling and Cranes, Concrete Equipment), By Autonomy (Semi-Autonomous, Fully Autonomous), Forecast 2024 - 2032

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  • Action construction Equipment
  • AGCO Corporation
  • Arnikon
  • ASI Mining
  • Bobcat Company
  • Case Construction Equipment
  • Caterpillar Inc.
  • Daifuku Co, Ltd.
  • Doosan Infracore
  • Hitachi Construction Machinery Co., Ltd.
  • Husqvarna
  • John Deere
  • Komatsu Ltd.
  • Liebherr
  • Mahindra Construction Equipment
  • Royal Truck & Equipment
  • Sany Group
  • SBM Mineral Processing GmbH
  • Sumitomo Mitsui Construction Co., Ltd.
  • Volvo Construction Equipment
LSH 24.08.20

Global Autonomous Construction Equipment Market will witness over 7.5% CAGR between 2024 and 2032 due to the introduction of new, innovative machinery by leading companies. These advancements are transforming the construction industry by enhancing efficiency, safety, and productivity. Autonomous equipment, including bulldozers, excavators, and cranes, offers significant benefits such as reduced labor costs, increased precision, and minimized human error. For instance, in May 2024, at the Intermat exhibition in Paris, Develon showcased the latest update to its unique Concept-X automated construction equipment, the Concept-X 2.0.

Leading companies are continuously developing and launching state-of-the-art autonomous machinery equipped with advanced technologies like GPS, sensors, and artificial intelligence. These innovations enable equipment to operate independently, perform complex tasks, and adapt to various site conditions.

The overall Autonomous Construction Equipment Industry is classified based on the product, autonomy, and region.

The demand for autonomous construction equipment is rising significantly, driven by innovations in material handling and cranes. Autonomous material handling systems and cranes enhance efficiency, accuracy, and safety on construction sites by reducing the need for manual operation. These advanced machines use technologies like artificial intelligence, sensors, and GPS to perform complex tasks with high precision, streamline workflows, and minimize human error. The integration of autonomous equipment in material handling and crane operations helps optimize resource management and reduce operational costs. As construction projects become increasingly complex and require higher efficiency, the demand for autonomous equipment in these areas continues to grow.

The demand for autonomous construction equipment is being bolstered by the growing interest in semi-autonomous machinery. Semi-autonomous equipment blends automation with human oversight, offering enhanced operational efficiency while allowing for manual intervention when necessary. This hybrid approach provides a balance between the full autonomy of advanced systems and the flexibility of human control. Semi-autonomous construction equipment, such as excavators and loaders, utilizes technologies like automated controls and real-time data analytics to improve precision and productivity. As the construction industry seeks to integrate automation gradually, the appeal of semi-autonomous solutions, which offer increased safety and operational efficiency, continues to drive market growth.

The demand for autonomous construction equipment in Europe is rapidly increasing, driven by the region's focus on innovation and efficiency in the construction sector. European construction companies are adopting autonomous machinery to enhance productivity, safety, and precision on job sites. The integration of advanced technologies, such as artificial intelligence, robotics, and GPS, allows for more accurate and efficient operations, reducing labor costs and operational risks. Additionally, stringent environmental regulations and the push toward sustainability encourage the use of automated equipment to minimize emissions and optimize resource use. As Europe continues to advance in construction technology, the demand for autonomous equipment is expected to grow significantly.

Table of Contents

Chapter 1 Methodology & Scope

  • 1.1 Research design
    • 1.1.1 Research approach
    • 1.1.2 Data collection methods
  • 1.2 Base estimates and calculations
    • 1.2.1 Base year calculation
    • 1.2.2 Key trends for market estimates
  • 1.3 Forecast model
  • 1.4 Primary research & validation
    • 1.4.1 Primary sources
    • 1.4.2 Data mining sources
  • 1.5 Market definitions

Chapter 2 Executive Summary

  • 2.1 Industry 360° synopsis, 2021 - 2032

Chapter 3 Industry Insights

  • 3.1 Industry ecosystem analysis
  • 3.2 Supplier landscape
    • 3.2.1 Raw material providers
    • 3.2.2 Component providers
    • 3.2.3 Manufacturer
    • 3.2.4 Distributors & dealers
    • 3.2.5 End-user
  • 3.3 Profit margin analysis
  • 3.4 Technology & innovation landscape
  • 3.5 Patent analysis
  • 3.6 Key news & initiatives
  • 3.7 Regulatory landscape
  • 3.8 Impact forces
    • 3.8.1 Growth drivers
      • 3.8.1.1 Surge in infrastructure development projects and the construction industry
      • 3.8.1.2 Increasing focus on worker safety and labor shortages
      • 3.8.1.3 Improved efficiency and productivity of autonomous equipment
      • 3.8.1.4 Advancements in sensors, automation, and connectivity technology
      • 3.8.1.5 Growing government support and incentives
    • 3.8.2 Industry pitfalls & challenges
      • 3.8.2.1 High equipment cost of autonomous construction equipment
      • 3.8.2.2 Safety and cybersecurity concerns
  • 3.9 Growth potential analysis
  • 3.10 Porter's analysis
  • 3.11 PESTEL analysis

Chapter 4 Competitive Landscape, 2023

  • 4.1 Introduction
  • 4.2 Company market share analysis
  • 4.3 Competitive positioning matrix
  • 4.4 Strategic outlook matrix

Chapter 5 Market Estimates & Forecast, By Product, 2021 - 2032 ($Bn, Units)

  • 5.1 Key trends
  • 5.2 Earthmoving & roadbuilding equipment
    • 5.2.1 Backhoes
    • 5.2.2 Excavators
    • 5.2.3 Loaders
    • 5.2.4 Compaction equipment
    • 5.2.5 Others
  • 5.3 Material handling and cranes
    • 5.3.1 Storage and handling equipment
    • 5.3.2 Engineered systems
    • 5.3.3 Industrial trucks
    • 5.3.4 Bulk material handling equipment
  • 5.4 Concrete equipment
    • 5.4.1 Concrete pumps
    • 5.4.2 Crushers
    • 5.4.3 Transit mixers
    • 5.4.4 Asphalt pavers
    • 5.4.5 Batching plants

Chapter 6 Market Estimates & Forecast, By Autonomy, 2021 - 2032 ($Bn, Units)

  • 6.1 Key trends
  • 6.2 Semi-autonomous
  • 6.3 Fully autonomous

Chapter 7 Market Estimates & Forecast, By Region, 2021 - 2032 ($Bn, Units)

  • 7.1 Key trends
  • 7.2 North America
    • 7.2.1 U.S.
    • 7.2.2 Canada
  • 7.3 Europe
    • 7.3.1 UK
    • 7.3.2 Germany
    • 7.3.3 France
    • 7.3.4 Spain
    • 7.3.5 Italy
    • 7.3.6 Russia
    • 7.3.7 Nordics
    • 7.3.8 Rest of Europe
  • 7.4 Asia Pacific
    • 7.4.1 China
    • 7.4.2 India
    • 7.4.3 Japan
    • 7.4.4 South Korea
    • 7.4.5 ANZ
    • 7.4.6 Southeast Asia
    • 7.4.7 Rest of Asia Pacific
  • 7.5 Latin America
    • 7.5.1 Brazil
    • 7.5.2 Mexico
    • 7.5.3 Argentina
    • 7.5.4 Rest of Latin America
  • 7.6 MEA
    • 7.6.1 UAE
    • 7.6.2 South Africa
    • 7.6.3 Saudi Arabia
    • 7.6.4 Rest of MEA

Chapter 8 Company Profiles

  • 8.1 Action construction Equipment
  • 8.2 AGCO Corporation
  • 8.3 Arnikon
  • 8.4 ASI Mining
  • 8.5 Bobcat Company
  • 8.6 Case Construction Equipment
  • 8.7 Caterpillar Inc.
  • 8.8 Daifuku Co, Ltd.
  • 8.9 Doosan Infracore
  • 8.10 Hitachi Construction Machinery Co., Ltd.
  • 8.11 Husqvarna
  • 8.12 John Deere
  • 8.13 Komatsu Ltd.
  • 8.14 Liebherr
  • 8.15 Mahindra Construction Equipment
  • 8.16 Royal Truck & Equipment
  • 8.17 Sany Group
  • 8.18 SBM Mineral Processing GmbH
  • 8.19 Sumitomo Mitsui Construction Co., Ltd.
  • 8.20 Volvo Construction Equipment
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