25 Sep, 2020
Spread of Covid-19 Set to Create $8.5 Billion Clean Room Robot Markets by 2025
Looks like hotel housekeeping staff will need to shift their skills towards maintaining robots.
DUBLIN, 22 September 2020, PRNewswire – The clean room robot market (including prices of peripherals, software, and system engineering) was valued at USD 5.6 billion in 2019 and is expected to grow to USD 8.5 billion by 2025, at a CAGR of 12.0% from 2020 to 2025.
The robotic arms segment held the largest share of the component market in 2019. The robotic arm is one of the most expensive hardware components in a robot, and its design can often be time-consuming and complex. The arm has to be built according to the ISO/TS 15066 standard and certified for the same.
The designing of the robotic arm for collaborative robots is more detailed than it is for traditional industrial robots. When compared to traditional industrial robots, collaborative robots often have a curved arm to make it safe for human contact. Inside its complex design, the arm also has to house the drives, motors, and sensors, while providing the maximum level of dust and water resistance, which can often be challenging.
Articulated robots to hold the largest share of cleanroom robot market in 2020
Articulated robots held the largest share of the cleanroom robot market in 2019. This is because articulated robots have the highest number of joints and offer the highest degree of motion. Therefore, they can be adopted for a wide number of applications and can also be altered more easily if the product or the process changes.
The market for SCARA robots is expected to grow at the highest CAGR during the forecast period. This is because they cost lesser than articulated robots and offer a considerable degree of freedom with 4 axes. Articulated robots can cost between USD 19,000 and USD 120,000, whereas SCARA robots can cost between USD 10,000 and USD 50,000. Also, SCARA robots occupy less space than cartesian and parallel robots and are therefore more adopted than cartesian and parallel robots.
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