The global autonomous cranes market was valued at $1.56 billion in 2020. The global autonomous market is forecast to grow at a CAGR of 18.9% during the forecast period from 2021-2027. The market is forecast to reach $6.65 billion in 2027.
An autonomous crane is a mechanical equipment attaching wire ropes, shelves, or chains to hoist ropes and utilizing software and hardware supported by smart technology, such as artificial intelligence (AI) and machine vision. The autonomous crane offers distinct advantages in the new generation of equipment for lifting and moving heavy materials, including collision avoidance, time efficiency, and operational efficiency. The autonomous crane market is currently in its introductory phase, and most participants are busy developing products that cater to specific end-user requirements. A crane can be operated autonomously from a control room, where the operator can supervise crane activities and ensure a high level of safety and comfort.
Factors Affecting the Global Autonomous Cranes Market
Regional Analysis of the Global Autonomous Cranes Market
Due to its fast-growing population, Asia-Pacific is forecast to grow at a higher compound annual growth rate. The above factor alone makes the region a leader in autonomous crane market share during the forecast period. A rise in GDP per capita and improved infrastructure have allowed rural areas to become urban areas to a greater extent. Due to the sudden rise in demand, cities are falling into unsustainable consumption models. In addition, a large number of top-tier players are located in the region.
Autonomous cranes are in high demand in China, Germany, and the United States.
Key Players in the Global Autonomous Cranes Market
Recent Developments of the Key Players in the Global Autonomous Cranes Market
Aim of the Report: The Global Autonomous Cranes Market
The global autonomous cranes market is segmented by End-User Vertical, Business Type, Mobility, and Region.
Segmentation based on End-User Vertical
Segmentation based on Business Type
Segmentation based on Mobility
Segmentation based on Region