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The latest Permanent Magnet Motor Market Report covers the impactable scenario and the growth prospects of Permanent Magnet Motor Market for 2018-2022. The Permanent Magnet Motor Market coversconsists of several key regions: United States, Europe, China, Japan, North America and India.
According to the survey, the permanent magnet motor market is estimated to grow at a CAGR of 8.87%, from 2018 to 2023, to reach a projected market size of USD 45.13 billion by 2023. Product types: Alternating Current Motor, Direct Current Motor, Hermetic Motors
"Increasing demand for energy-efficient & low-cost maintenance motors and increased implementation of permanent magnet motors across industries are some of the factors contributing to the growth of the permanent magnet motor market." Since countries such as China and Japan have implemented energy-efficiency standards to save electricity consumption, which has led to a growth in the demand for permanent magnet motors, China and Japan are expected to be the two largest markets for permanent magnet motors in the region in 2018.
A permanent magnet motor is a type of brushless electric motor that uses permanent magnets rather than winding in the field. This type of motor is usually used in Factory Automation, Consumer, Office automation, Commercial, Lab equipment, Medical, Military/Aero.
Due to its rotor spins in synchronization with the rotating internal magnetic field without incurring any excitation losses, permanent magnet motors are more efficient than traditional induction motors or motors with field windings for certain high-efficiency applications.
It’s well known that permanent magnet machines have the benefit of pre-excitation from the magnets, and therefore you have some efficiency benefit for that. Induction machines have perfect flux regulation and therefore you can optimize your efficiency. Both make sense for variable-speed drive single-gear transmission as the drive units of the cars.
For the specification of the performance and efficiency, the permanent magnet machine better solved our cost minimization function, and it was optimal for the range and performance target.
