Machine Vision System And Services Market to Witness an Outstanding Growth by 2027

Machine vision technology is an essential component of industrial automation that enhances the speed and calibre of the finished product. Machine vision technology provides a crucial capability of evaluating a product being created that is superior to the typical human visual sense.

Manufacturers may accomplish quick production lines with accurate, precise non-contact product measurement and closed-loop process control thanks to machine vision systems and service providers. Top benefits of machine vision systems include high-quality product inspection, short setup and downtime, and enhanced production flexibility.

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Machine Vision System and Services Market: Drivers and Restraints

Machine vision technology will likely become more and more in demand as more industrial verticals adopt production automation. Additionally, a growing number of robotic systems based on machine vision technology and an urgent need for high-quality product inspection will drive up demand for machine vision system and services internationally.

Demand for machine vision technology will continue to be driven mostly by the manufacturing sectors’ escalating need for high production output. The adoption of vision systems and services will be sustained by the increasing demand for machine vision technologies in IT, optics, and mechanics.

Machine Vision System and Services Market: Key Players

Some of the major companies in the market for machine vision systems and services are profiled in the report. Texas Instruments, Inc., Cognex Corporation, National Instruments Corporation, and Teledyne Technologies, Inc.

several of them. Keyence Corporation, Baumer Optronic GmbH, Allied Vision Technologies GmbH, Sick AG, Basler AG, and Omron Corporation are further top suppliers of machine vision systems and services.

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The report covers exhaustive analysis on

  • Market Segments
  • Market Dynamics
  • Market Size
  • Supply & Demand
  • Current Trends/Issues/Challenges
  • Competition & Companies involved
  • Technology
  • Value Chain

This research is the result of input from industry experts, other value chain actors, and first-hand information as well as qualitative and quantitative assessments by industry analysts.

Vision System and Services Market: Segmentation

Segment-wise, the global market for machine vision system and services is categorised into four key segments, viz. type, application, component, and end-user application.

By type, the global vision system and services market is segmented into-

  • 3D measurement
  • 2D measurement
  • 1D measurement

Based on application, the global vision system and services market is classified as

  • Identification
  • Positioning
  • Measurement
  • Verification
  • Flaw detection

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On the basis of component, the global machine vision system and services market is fragmented into

  • Lenses
  • Lighting
  • Smart Camera
  • Frame grabber
  • Embedded system

By end-user vertical, the global machine vision system and services market is segmented into

  • Electronics
  • Healthcare
  • Automotive
  • Industrial
  • Others

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About the Author

Nikhil Kaitwade

Associate Vice President at Future Market Insights, Inc. has over a decade of experience in market research and business consulting. He has successfully delivered 1500+ client assignments, predominantly in Automotive, Chemicals, Industrial Equipment, Oil & Gas, and Service industries.
His core competency circles around developing research methodology, creating a unique analysis framework, statistical data models for pricing analysis, competition mapping, and market feasibility analysis. His expertise also extends wide and beyond analysis, advising clients on identifying growth potential in established and niche market segments, investment/divestment decisions, and market entry decision-making.
Nikhil holds an MBA degree in Marketing and IT and a Graduate in Mechanical Engineering. Nikhil has authored several publications and quoted in journals like EMS Now, EPR Magazine, and EE Times.

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