North America Machine Vision Systems Market - Growth, Trends, COVID-19 Impact, and Forecasts (2022 - 2027)

The North America Machine Vision Systems Market is segmented by Component (Hardware, Software), Product (PC-based, Smart Camera-based), End-User Industry (Food and Beverage, Healthcare and Pharmaceutical, Logistic and Retail, Automotive, Electronics and Semiconductors), and Country.

Market Snapshot

North America Machine Vision Systems Market
Study Period: 2019-2026
Base Year: 2021
CAGR: 6.5 %

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Market Overview

The North America Machine Vision Systems Market is expected to register a CAGR of 6.5% during the forecast period. The outbreak of the COVID-19 significantly disrupted the supply chain and production in various industries. This also impacted the studied market, especially in the first half of 2020.​ However, the pandemic also expanded the scope of industrial automation and machine vision to enhance efficiency and safety concerns. Partnerships and new product launches, and developments addressing COVID-19 situations were some significant trends in the region.

  • North America is a sizable market for companies providing machine vision solutions. The regional market is expected to grow substantially over the forecast period, owing to the early introduction of automation in manufacturing and the presence of a significant number of market vendors of regional origin. According to Association for Advancing Automation, sales of machine vision components and systems that offer vision intelligence to robots and other machines dropped in the first half of 2020; however, the market recovered in North America in the second half.
  • Machine vision components, consisting of cameras, lighting, optics, imaging boards, software, and machine vision systems, including application-specific machine vision (ASMV) and smart cameras, witnessed a declining revenue in the first half of 2020. However, for the 2nd half, A3 vision and imaging were similarly optimistic, with 42% sales increased moderately (10%).
  • Further various innovations are witnessing in the market. For instance, In May 2021, Canada-based iENSO launched an Ambarella-based platform ecosystem for embedded vision applications. Ambarella Inc provides AI vision processors for the Edge.
  • Also, AI-powered machine vision is reshaping entire industries ranging from robotics and retail to healthcare and manufacturing. Companies are shifting from an AI vision solution, integrated image sensor module, cables, and GPU modules, to a ready-to-develop edge AI smart camera vision system, which reduces the effort of software and hardware integration, allowing AI vision developers to focus on application development.

Scope of the report

According to the Automated Imaging Association, machine vision includes all industrial and non-industrial applications in which a combination of software and hardware provides operational guidance to devices in the execution of their functions based on the capture and processing of images.

The machine vision system is the substitution of the human visual sense and judgment capabilities with a video camera and computer to perform an inspection task. It is the automatic acquisition and analysis of images to obtain desired data for controlling or evaluating a specific part or activity.

Under component, hardware and software are considered under the scope. The hardware includes vision systems, cameras, optics and illumination systems, frame grabbers, and other types of hardware.

The end-user industry includes electronics and semiconductors, automotive, medical devices and pharmaceuticals, logistic and retail, food and beverages, and other end-user industries.

Component
Hardware
Vision Systems
Cameras
Optics and Illumination Systems
Frame Grabber
Other Types of Hardware
Software
Product
PC-based
Smart Camera-based
End-User Industry
Food and Beverage
Healthcare and Pharmaceutical
Logistic and Retail
Automotive
Electronics and Semiconductors
Other End-User Industries
Country
United States
Canada

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Key Market Trends

Smart Camera-based Expected to Witness Significant Growth

  • Smart camera-based products are gaining popularity in industries due to the high rate of product innovation and expansion of existing applications in many end-user industries. Also, Smart cameras have long eased the task of machine vision system design. The segment has witnessed continuous innovation in recent years, including models with larger image sensors, emerging embedded vision cameras that function as smart cameras, and new cameras capable of performing deep learning and AI tasks.
  • The market witnessed innovations like image sensor resolution in smart cameras has increased, integrating much faster processors or embedded vision cameras with MIPI interfaces, and availability in color and monochrome options are increasingly witnessing in the market, which is also gaining popularity especially after the COVID-19 outbreak.
  • After 2020, more and more industrial vendors are adopting robots and AI Machine Vision Smart Cameras with mature AI algorithms to replace the IP Surveillance cameras. Therefore, the product innovation rate is increasing in the segment. In July 2020, Cognex Corporation launched a new embedded vision system. The In-Sight D900 features Cognex’s ViDi deep learning software inside an industrial-grade smart camera that can be used in a broad range of complex in-line inspection applications, including optical character recognition (OCR) assembly verification and defect detection.
  • Further, In May 2021, Matrox Imaging, based in Canada, introduced the Matrox Iris GTX model edge IoT devices and the next generation of smart cameras. The company’s Matrox Iris GTX smart cameras boast an Intel Atom x6000 series embedded processor that can be used for both conventional machine vision operations and deep learning inference in the form of image classification and segmentation using Matrox Design Assistant X on-device software.
North America Machine Vision Systems Market

United States Expected to Witness Significant Market Share

  • The country is at the forefront of automation, product innovation, providing a competitive advantage. Also, Microchip Technology Corporation introduced its Smart Embedded Vision Initiative. The ecosystem combines Microchip's low-power PolarFire FPGAs with a series of high-speed imaging interfaces, intellectual property for image processing, and an expanded ecosystem of outside partnerships. This initiative aims to accelerate machine vision advancements for industrial, medical device, automotive, and aerospace applications. Such innovations by hardware and software vendors are expected to amplify the market demand over the forecast period.
  • Government initiatives, such as Advanced Manufacturing Partnership, which is undertaken to make the industry, various universities, and the federal government invest in the emerging automation technologies, are expected to increase the production of machine vision systems.
  • Product innovation is still a major differentiating factor among the market vendors. Also, many vendors are adopting partnership and acquisition strategies to gain a competitive advantage. Most hardware vendors have strong software developers back through partnerships or acquisitions to stay strong in the market.
  • For instance, in May 2021, US-based Zebra Technologies Corporation acquired graphical machine vision software developer Adaptive Vision and launched a new suite of machine vision smart cameras and fixed industrial scanners. With the acquisition of Adaptive Vision and its Adaptive Vision Studio and Library, Deep Learning Add-on, and WEAVER inference engine, Zebra Technologies expands its presence in the machine vision hardware and software marketplaces. The company is also introducing a new specialized track for industrial automation business partners, distributors, and systems integrators in its PartnerConnect program.
North America Machine Vision Systems Market

Competitive Landscape

The North America Machine Vision Systems Market is moderately competitive in nature. Product launches, high expense on research and development, partnerships, and acquisitions are the prime growth strategies adopted by the companies in the region to sustain the intense competition.

  • August 2021 - Keyence Corporation introduced a customizable vision system XG-X series Advanced programming interface with 3D and linescan capabilities for high-quality, high-speed inspection and control. The XG-X Series provides high-speed, high-resolution cameras for high-accuracy inspection, providing robust solutions to a wide range of manufacturing problems.
  • January 2021 - Cognex Corporation announced In-Sight 3D-L4000 embedded vision system. The smart camera, which features 3D laser displacement technology, enables engineers to quickly, effectively, and cost-effectively solve a variety of inspections and testing on automated production lines.

Recent Developments

  • September 2020 - Omron introduced a new FH Series Vision system, which includes the industry's first defect detection AI technology, which detects defects without learning samples. The artificial intelligence technology, which attempts to simulate sensibility and skilled inspector techniques, reliably detects previously complex defects, automating human vision-based visual inspection.

Table of Contents

  1. 1. INTRODUCTION

    1. 1.1 Study Assumptions and Market Definition

    2. 1.2 Scope of the Study

  2. 2. RESEARCH METHODOLOGY

  3. 3. EXECUTIVE SUMMARY

  4. 4. MARKET INSIGHTS

    1. 4.1 Market Overview

    2. 4.2 Industry Attractiveness - Porter's Five Forces Analysis

      1. 4.2.1 Bargaining Power of Suppliers

      2. 4.2.2 Bargaining Power of Consumers

      3. 4.2.3 Threat of New Entrants

      4. 4.2.4 Threat of Substitutes

      5. 4.2.5 Intensity of Competitive Rivalry

    3. 4.3 Impact of COVID-19 on the Market

  5. 5. MARKET DYNAMICS

    1. 5.1 Market Drivers

      1. 5.1.1 Increasing Need for Quality Inspection and Automation

      2. 5.1.2 Rising Demand for Accurate Defect Detection

    2. 5.2 Market Challenges

      1. 5.2.1 Complications in the Implementation of Mv Systems

  6. 6. MARKET SEGMENTATION

    1. 6.1 Component

      1. 6.1.1 Hardware

        1. 6.1.1.1 Vision Systems

        2. 6.1.1.2 Cameras

        3. 6.1.1.3 Optics and Illumination Systems

        4. 6.1.1.4 Frame Grabber

        5. 6.1.1.5 Other Types of Hardware

      2. 6.1.2 Software

    2. 6.2 Product

      1. 6.2.1 PC-based

      2. 6.2.2 Smart Camera-based

    3. 6.3 End-User Industry

      1. 6.3.1 Food and Beverage

      2. 6.3.2 Healthcare and Pharmaceutical

      3. 6.3.3 Logistic and Retail

      4. 6.3.4 Automotive

      5. 6.3.5 Electronics and Semiconductors

      6. 6.3.6 Other End-User Industries

    4. 6.4 Country

      1. 6.4.1 United States

      2. 6.4.2 Canada

  7. 7. COMPETITIVE LANDSCAPE

    1. 7.1 Company Profiles

      1. 7.1.1 Cognex Corporation

      2. 7.1.2 Keyence Corporation

      3. 7.1.3 Omron Corporation

      4. 7.1.4 Basler AG

      5. 7.1.5 National Instruments Corporation

      6. 7.1.6 Teledyne DALSA

      7. 7.1.7 Flir Systems Inc

      8. 7.1.8 Datalogic SpA

      9. 7.1.9 Perceptron Inc

      10. 7.1.10 Uss Vision Inc

    2. *List Not Exhaustive
  8. 8. INVESTMENT ANALYSIS

  9. 9. FUTURE OF THE MARKET

**Subject to Availability

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Frequently Asked Questions

The NA Machine Vision Systems Market market is studied from 2019 - 2026.

The NA Machine Vision Systems Market is growing at a CAGR of 6.5% over the next 5 years.

Cognex Corporation, Keyence Corporation, Omron Corporation, IDS Imaging Development Systems GmbH, Teledyne DALSA are the major companies operating in NA Machine Vision Systems Market.

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