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Robot End-Effector Market Outlook: USD 1 billion in 2019

Robot End-Effector Market is entering a new expansion phase, with public market data placing the opportunity at USD 2.5 billion in 2018 with a stated CAGR of 14%.

RoboInd market brief: Robot End-Effector Market is entering a new expansion phase, with public market data placing the opportunity at USD 2.5 billion in 2018 with a stated CAGR of 14%.

Market snapshot

  • USD 2.5 billion in 2018
  • USD 1 billion in 2019

The stated growth rate is 14% CAGR for the published forecast window.

What is changing

Demand is being shaped by automation investment, productivity requirements, application expansion and the integration of software with physical systems.

Key market signals include Growth Drivers.

Regional direction

title_en: Robot End-Effector Market Analysis; body_en: The welding guns contribute to a major part in the robot end-effector market due to the increasing use of welding robots in the automotive industry. Manufacturers are implementing them to cut down the costs of direct labor, reduce the process time, and conserve the materials. Furthermore, the welding robots provide benefits such as a safer work environment, no break in production, consistent cycle times, and others, enabling their demand in the manufacturing industries. NIMAK, a robot equipment manufacturer has witnessed considerable growth in the robot welding gun manufacturing in China.

Competitive landscape

Public market coverage identifies participants including ABB, KUKA. These names indicate activity across the value chain and should not be read as a uniform ranking.

Market outlook

Growth will depend on the conversion of technical capability into repeatable deployments, measurable productivity gains and maintainable operating economics. Buyers are likely to weigh integration, workforce readiness, interoperability and lifecycle support alongside equipment performance.

Market reading: Figures are presented within their stated market definition and forecast window. They should not be combined with figures from other definitions without normalization.

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