Market Outlook

According to Future Market Consulting analysis, Global Transformer Substation Inspecting Robot Market size was valued at USD 164.7 Million in 2021 and is projected to reach USD 361.8 Million by 2028, growing at a CAGR of 12.8% in anticipated time frame of 2022 to 2028. The Global Transformer Substation Inspecting Robot market has expected valuation of USD 190.6 Million in 2023.

With the adoption and deployment of the smart inspecting robot, they will perform the initial analysis of the incident management and through substation inspection, measurement device and accurate analytics, rain, snow, freezing, thunderstorm, and some other special assessments, which can effectively reduce the amount of labor required of the artificial inspection, lower its cost of operation and maintenance of the station, and improve the automation.

The increasing necessity to upgrade existing networks is expected to drive the transformer substation inspection robots’ market forward. The increased need to lower losses in transmission and distribution is driving the substation automation business ahead as well. Furthermore, the need to reduce interruption time by detecting issues on a real-time basis and deploying automation to restore services is projected to drive the market for substation inspection robots. Substation demand in Asia Pacific has expanded substantially as a result of vast rapid urbanization and sustained industrial expansion. Rapid robotic system development from Chinese and Japanese enterprises such as linked robotics and Ascent Robotics is predicted to boost consumption and demand for robotic systems in the key area.

Key Players

• ANYbotics AG
• Boston Dynamics
• KNR Systems Inc
• Lynxmotion Inc
• Moog Inc
• UnitreeRobotics
• Ghost Robotics Corporation
• Dali Technology
• Shenzhen Skyee Smart Grid Technology
• CSG Smart Science & Technology
• Zhengzhou Wanda Technology
• Sino Robot
• SMP Robotics
• Shandong Luneng Intelligence Tech

Segmentation

By Type

• Wheel Type
• Crawler Type

By Application

• Single Station Type
• Multi-Station Type