Robot Teach Pendant Market - Global Industry Insights, Trends, Outlook, and Opportunity Analysis, 2016–2024

The teach pendant is a device that is used to control the industrial or non-industrial robot remotely. Teach pendant device provides a various settings which helps to control robots and also helps to design and develop new capabilities and features

The increasing R&D investment for the development of next generation robots become one of the key factor for the growth of robotic tech pendant market, globally. According to Coherent Market Insight analysis there was US$ 91.5 billion spending in robotic industry in 2016, up from US$ 71 billion and is forecasted to reach up to US$ 188 billion in 2020. Various R&D activities are trying to improve the technology in the robotics such as mechatronics, perception manipulation, navigation, gripping, and motion control. The second generation robots holds the technical capability of sensors and 3D- vision system which works with the integration of control system and intelligent algorithms with teach pendants which helps to identify the machine and human presence. For the next generation robotics the vendors are highly focused to improve the cognitive skills of robots with the help of control systems, sensors, high-power processors which helps robots to analyses the gathered information in real time entity and change its behavior accordingly. In addition to this, the increasing demand of non-automotive application and advancement of technology are also some of the major driving factors which increase the market of robot teach pendant globally.   

The alternative programing method become one of the major threat which hinders the growth of the global robotic teach pendant market. The robotic programing method is done by three approaches - online programming method, simulation or offline programming method and lead through programming method. The online programming method adopts teach pendant is a time consuming method. So simulation or offline programming method is adopted by the end users.

Robot teach pendant Market Taxonomy

On the basis of deployment model, the global robot teach pendant market is classified into:

  • On–premises model
  • Cloud based model

On the basis of end users, the global robot teach pendant market is classified into:

  • Healthcare
  • Defense and security
  • Aerospace
  • Automotive
  • Electronics
  • Domestic
  • Others

On the basis of application, the global robot teach pendant market is classified into:

  • Material handling
  • Welding application
  • Painting application

Material handling application holds the dominant position in the global robot teach pendant market and is projected to retain its dominance throughout the forecast period. This application is majorly influenced by increasing demand from various end users industries such as automotive, electronics and many more installing the automating process in there manufacturing units. The increasing demand to advanced product development and availability of less skilled labor majorly in developing countries such as China, India have increased the demand for 6robots as they have the capability to perform multiple tasks.      

Robot teach pendant market Outlook – Asia Pacific holds the largest market of the global robot teach pendant market.

On the basis of geography, global robot teach pendant market is classified into North America, Europe, Asia Pacific, Latin America, Middle East, and Africa. Asia Pacific holds the dominant position in the global robot teach pendant market and is projected to retain its dominance throughout the forecast period. The increasing automotive industry in India and China provides a major opportunity for the robot teach pendant market in this region. According to “Organisation Internationale des Constructeurs d'Automobiles” in 2016, China sold 28 million units of vehicles up from 24.7 million units in 2015.  

Key companies of the global robotic teach pendant market

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. are some of major companies in the global robotic teach pendant market.  

Research Methodology

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  • Primary Research (Trade Surveys and Experts Interviews)
  • Desk Research
  • Proprietor Data Analytics Model

In addition to this, Coherent Market Insights has access to a wide range of the regional and global reputed paid data bases, which helps the company to figure out the regional and global market trends and dynamics. The company analyses the industry from the 360 Degree Perspective i.e. from the Supply Side and Demand Side which enables us to provide granular details of the entire ecosystem for each study. Finally, a Top-Down approach and Bottom-Up approach is followed to arrive at ultimate research findings.


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Coherent Market Insights desk research is based on a principle set of research techniques:

  • National level desk research: It Includes research analysis of regional players, regional regulatory bodies, regional trade associations, and regional organization.
  • Multinational level desk research: The research team keeps a track of multinational players, global regulatory bodies, global trade associations, and global organization.

Coherent Market Insights has a large amount of in-house repository of industry database. This is leveraged as a burner for initiating a new research study. Key secondary sources include:

  • Governmental bodies, National and international social welfare institutions, and organizations creating economic policies among others.
  • Trade association, National and international media and trade press.
  • Company Annual reports, SEC filings, Corporate Presentations, press release, news, and specification sheet of manufacturers, system integrators, brick and mortar - distributors and retailers, and third party online commerce players.
  • Scientific journals, and other technical magazines and whitepapers.
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Preliminary Data Mining

The raw data is obtained through the secondary findings, in house repositories, and trade surveys. It is then filtered to ensure that the relevant information including industry dynamics, trends, and outlook is retained for further research process.

Data Standardization:

Holistic approach is used to ensure that the granular and uncommon parameters are taken into consideration to ensure accurate results. The information from the paid databases are further combined to the raw data in order to standardize it.

Coherent Statistical model

We arrive at our final research findings through simulation models. Coherent Data Analytics Model is a statistical tool that helps company to forecast market estimates. Few of the parameters considered as a part of the statistical model include:

  • Micro-economic indicators
  • Macro-economic indicators
  • Environmental indicators
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Data Processing

Once the findings are derived from the statistical model, large volume of data is process to confirm accurate research results. Data analytics and processing tools are adopted to process large chunk of collected informative data. In case, a client customizes the study during the process, the research finding till then are benchmarked, and the process for new research requirement is initiated again.

Data Validation

This is the most crucial stage of the research process. Primary Interviews are conducted to validate the data and analysis. This helps in achieving the following purposes:

  • It provides first-hand information on the market dynamics, outlook, and growth parameters.
  • Industry experts validates the estimates which helps the company to cement the on-going research study.
  • Primary research includes online surveys, face-to face interviews, and telephonic interviews.

The primary research is conducted with the ecosystem players including, but not limited to:

  • Raw Material Suppliers
  • Manufacturers
  • System Integrators
  • Distributors
  • End-users

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