DUBLIN, Nov. 5, 2018 /PRNewswire/ --
The "Machine Vision Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2018-2023" report has been added to ResearchAndMarkets.com's offering.
The global machine vision market reached a value of US$ 8.4 Billion in 2017. The market is further projected to reach US$ 13.5 Billion by 2023, exhibiting a CAGR of around 8% during 2018 - 2023.
Machine vision, also known as vision system or industrial vision, is a technology used for observing all types of machinery processes. It usually consists of various cameras which are installed over the machines depending upon the requirement so that the entire process can undergo a proper vigilance. These cameras are fixed to perform the task of capturing and interpreting along with giving a signal as per the requirements. Machine vision technology works by the precise coordination of software and hardware. Machine vision is currently providing numerous benefits to organizations such as improving quality, increasing productivity, lowering production costs, reducing floor space, increasing production flexibility, lowering capital equipment costs, etc.
Whereas, human vision is ideal for qualitative interpretation of a complex, unstructured scene, machine vision stands out at quantitative measurement of a structured scene catalysed by its speed, accuracy, and repeatability. For instance, during a production process, a machine vision system has the capability to inspect hundreds, or even thousands, of parts per minute. A machine vision system built around the right camera resolution and optics can effortlessly inspect object details that may otherwise be too small to be viewed by the human eye.
In addition, in removing physical contact between a test system and the parts that are being tested, machine vision averts part damage and reduces the maintenance time and costs linked with the wear and tear on mechanical components. Moreover, machine vision provides additional safety and operational advantages by reducing manual involvement in a production process. Nevertheless, machine vision also helps in preventing human contamination of clean rooms and protects human workers from environments that could be hazardous.
Key Topics Covered:
1 Preface
2 Scope and Methodology
2.1 Objectives of the Study
2.2 Stakeholders
2.3 Data Sources
2.3.1 Primary Sources
2.3.2 Secondary Sources
2.4 Market Estimation
2.4.1 Bottom-Up Approach
2.4.2 Top-Down Approach
2.5 Forecasting Methodology
3 Executive Summary
4 Introduction
4.1 Overview
4.2 Key Industry Trends
5 Global Machine Vision Market
5.1 Market Overview
5.2 Market Performance
5.3 Market Breakup by Product
5.4 Market Breakup by Component
5.6 Market Breakup by Application
5.7 Market Breakup by Industry
5.8 Market Breakup by Region
5.9 Market Forecast
5.10 SWOT Analysis
5.11 Value Chain Analysis
5.12 Porters Five Forces Analysis
5.13 Price Analysis
6 Market Breakup by Product
6.1 Vision Systems
6.2 Cameras
6.2 Others
7 Market Breakup by Component
7.1 Hardware
7.2 Software
8 Market Breakup by Application
8.1 Positioning
8.2 Identification
8.3 Verification
8.4 Measurement
8.5 Flaw Detection
8.6 Others
9 Market Breakup by Industry
9.1 Automotive
9.2 Medical and Pharmaceutical
9.3 Electronics and Semiconductor
9.4 Food, Packaging and Printing
9.2 Security and Surveillance
9.3 Intelligent Traffic System
9.4 Identification
9.4 Others
10 Market Breakup by Region
10.1 Asia Pacific
10.2 Europe
10.3 North America
10.4 Middle East and Africa
10.5 Latin America
11 Competitive Landscape
11.1 Market Structure
11.2 Key Players
11.3 Profiles of Key Players
11.3.1 Cognex Corporation
11.3.2 Basler AG
11.3.3 Omron Corporation
11.3.4 National Instruments Corporation
11.3.5 Keyence Corporation
11.3.6 Sony Corporation
11.3.7 Teledyne Technologies, Inc.
11.3.8 Texas Instruments, Inc
11.3.9 Allied Vision Technologies GmbH
11.3.10 Intel Corporation
11.3.11 Baumer Optronic GmbH
11.3.11 Jai A/S
For more information about this report visit https://www.researchandmarkets.com/research/886ggt/global_machine?w=5
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