Robot Teach Pendant Market is Estimated To Witness High Growth Owing To Increasing Adoption of Collaborative Industrial Robots

 The Robot Teach Pendant Market is estimated to be valued at US$ 195.9 Mn in 2023 and is expected to exhibit a CAGR of 5.0% over the forecast period 2023 to 2030, as highlighted in a new report published by Coherent Market Insights.

Market Overview:
A teach pendant is the key control interface between operator and robotic system. It allows the operator or programmer to control the robot arms, view robot operation, perform programming tasks and run/debug programs. Teach pendants are very useful for industrial robot setups as they enable operators to safely program, control, run and adjust the robot while standing at a safe distance. This improves ease of use and safety around industrial robots.

Market key trends:
One of the major trends fueling the growth of robot teach pendant market is increasing adoption of collaborative robots. Collaborative robots or cobots are designed to interact and work in close proximity with human workers without the need for safety enclosures. They are cheaper, more flexible and faster to deploy as compared to traditional industrial robots. This has boosted their adoption especially in SMEs for tasks like packaging, assembly, quality control etc. However, programming and controlling of collaborative robots requires simplified and easy to use interfaces. Robot teach pendants provide an optimal solution as they enable intuitive, on-the-fly programming and control of collaborative robots directly from the workspace. This has increased demand for teach pendants compatible with collaborative robots.

Porter’s Analysis

Threat of new entrants: Low capital requirements and proximity of related industries lowers the threat of new entrants. However, established brands have strong distribution networks and customer loyalty.

Bargaining power of buyers: Large automated companies have significant bargaining power over robot manufacturers due to their purchasing power. However, specialized robots limit alternatives.

Bargaining power of suppliers: A few key suppliers of electronic components and software have some bargaining power over robot manufacturers. However, there are alternatives and switching costs are relatively low.

Threat of new substitutes: Potential new technologies like AI, augmented reality etc. pose a threat to the robot teach pendant market.

Competitive rivalry: Intense competition between established robot manufacturers to gain market share.

SWOT Analysis

Strengths: Established global brands with wide product portfolio and strong after-sales service. Robotic teach pendants enable quick and easy robot programming.

Weaknesses: High initial investment and maintenance costs can be prohibitive for small firms. Require skilled workforce for operation and programming.

Opportunities: Growing adoption of collaborative robots in SMEs presents an opportunity. Potential in industries like electronics, automotive, food and beverage.

Threats: Economic slowdowns can negatively impact capital investments. Trade wars and changing import regulations also pose threats.

Key Takeaways

The global robot teach pendant market is expected to witness high growth, exhibiting CAGR of 5.0% over the forecast period, due to increasing adoption of collaborative robots across industries.

Regional analysis: The robot teach pendant market in Asia Pacific, especially in China, Japan and South Korea is expected to grow at the fastest pace due to strong presence of manufacturing industries. The market in North America and Europe is also growing due to technological advancements and increasing productivity demands.

Key players operating in the robot teach pendant market are ABB Ltd, Fanuc Corporation, KUKA AG, Omron Adept Technologies, Inc., Yaskawa Motoman, COMAU S.p.A., DENSO Robotics, Epson America, Inc., Festo, Intelitek, Mitsubishi Electric Corporation, Nachi Robotic Systems Inc, Stäubli International, Yamaha Robotics Inc. Key players are focused on introducing advanced features, cloud-based technologies and customizations to gain more customers.