DUBLIN--(BUSINESS WIRE)--Research and Markets has announced the addition of the "Machine Vision System Market by Component, Type, Application and Industry Vertical" report to their offering.
The report is expected to reach $18.7 billion by 2022 from $10.6 billion in 2015, growing at a CAGR of 8.7% from 2016 to 2022.
Machine vision technology substitutes the human visual sense and judgment capabilities with digital cameras and image processing to complement manual inspections and measurements. Varied industries incorporate this technology to automate the production and improve product quality & speed. Machine vision system automatically acquires and analyzes the image to deliver desired information and control machines or processes.
Machine vision system enable high-speed production lines, clean room environments, hazardous environments, microscopic inspection, closed-loop process control, and precise non-contact measurement. Continued evolution of CMOS image sensors and rise in demand for automation in industrial applications are expected to foster high growth of machine vision system market during the forecast period. Furthermore, increase in demand for miniaturized production line monitoring systems and automated guided robots is expected to act as an opportunity for the market.
- Cognex Corporation
- Teledyne Technologies, Inc.
- Keyence Corporation
- National Instruments Corporation
- Texas Instruments, Inc.
- Basler AG
- Baumer Optronic GmbH
- Sick AG
- Omron Corporation
Allied Vision Technologies GmbH
Key Topics Covered:
Chapter: 1 Introduction
Chapter: 2 Executive Summary
Chapter: 3 Market Overview
Chapter: 4 Machine Vision System Market, By Component
Chapter: 5 Machine Vision System Market, By Type
Chapter: 6 Machine Vision System Market, By Application
Chapter: 7 Machine Vision System Market, By Industry Vertical
Chapter: 8 Machine Vision System Market, By Geography
Chapter: 9 Related Industry Insights
Chapter: 10 Company Profiles
For more information about this report visit http://www.researchandmarkets.com/research/dpp2mh/machine_vision