+353-1-416-8900REST OF WORLD
+44-20-3973-8888REST OF WORLD
1-917-300-0470EAST COAST U.S
1-800-526-8630U.S. (TOLL FREE)

Robotic Vision Market - Growth, Trends, COVID-19 Impact, and Forecasts (2022 - 2027)

  • PDF Icon

    Report

  • 120 Pages
  • January 2022
  • Region: Global
  • Mordor Intelligence
  • ID: 5025957

The Robotic Vision Market is expected to grow at a CAGR of 9.86% over the forecast period (2021-2026). The growth of the market is owing to the growing use of cognitive humanoid robots and increasing deployment of machine vision systems in end user segments like Automotive Industry.



Key Highlights

  • Machine guidance systems use 2D and 3D machine vision systems to improve accuracy and the speed of assembly robots and automated material handling equipment, which plays a crucial role in the engine chassis marriage operations. Although the applications vary depending on the type of vehicle or model being produced, the general categories of applications are observed in robotics, dimensional gaging operations, assembly verification, flaw detection, paint job verification and code reading.
  • Robotic vision provides the robots with sight, that helps them to complement or replace manual inspection tasks, using cameras and image processing. The applications range from basic tasks, like presence detection, to real-time inspection, among others.
  • Manufacturing companies across the world are realizing the benefits of these robotic vision systems, particularly in areas where redundant tasks, like inspection, should be performed with precision. They are playing an essential role in high-speed production lines and hazardous environments. Some of the significant benefits offered by these systems include increased productivity, reduced machine downtime, and tighter process control.
  • The growing use of these systems has led to a number of innovations. Cognex Corporation, in Aug 2019, for instance unveiled the 3D-A1000 dimensioning system. Featuring breakthrough smart camera technology, the 3D-A1000 solves even the toughest static and in-motion dimensioning challenges to optimize logistics, packaging, and warehousing operations. The 3D-A1000 handles high-speed motion, uneven transitions, curved conveyance, and colorful target surfaces. Additionally, it outputs precise data and accurate measurements and detects overpacked or out-of-gauge items.
  • The outbreak of the COVID-19 is expected to further proliferate the growth of vision guided robots, that can reduce human contact in many end user sections. For instance, Orrbec, a US-based company recently collaborated with robot manufacturers in China to deploy its 3D camera products in robots for different hospital applications. Food delivery robots, sterilization robots, and directional guiding robots using machine vision systems have been deployed across many hospitals in China.

Key Market Trends


Increasing Application in Automotive Industry is Expected to Drive Market Growth


  • In order to address quality issues Automotive manufacturers are increasingly investing in vision systems. The technology is being increasingly used by automakers and parts suppliers for a variety of applications, that include adhesive dispensing, bin picking, error-proofing, inline welding analysis, material handling, robotic guidance, surface inspection and traceability. Growing demand demand for customization, increasing labor shortages and cost pressures are some of the major drivers of vision systems use in the auto industry.
  • Advanced machine vision technology already plays major role in daily operation of various automotive plants across the globe. Ford Motor Co.’s Van Dyke transmission plant for instance uses vision-guided robots in order to ensure high-quality assembly of critical components like gears and clutches. The plant has deployed more than 500 inline machine vision applications for error proofing, gauging and complexity issues
  • With the growth of the ADAS system in Automotives, the requirement of the component like camera led lighting, Lidar, V2X, among others will play a crucial role in the near future for automation and intelligence. Further, according to Neuromation, traffic accidents account for 2.2% of global deaths. With 2D and 3D machine vision and intelligent transportation systems (ITS), drivers are provided with a safety net. These technologies make it possible to mitigate human error in the auto industry, assisting drivers at the wheel with tools and features that keep them from committing serious mistakes and accidents.
  • The manufacturing production however, witnessed a significant decrease over a year earlier in April 2020, which was the biggest decline since May 2009, primarily owing to the coronavirus pandemic, which led multiple factories to suspend their operations.

North America is Expected to become the Fastest Growing Market


  • The North American region is one of the leading innovators and pioneers in terms of the adoption of robotics and is one of the largest markets across the world. The primary reason for the growth of the market is the increasing adoption of robots across numerous industries.
  • According to the International Federation of Robotics, the estimated annual industrial robot installations in the North American region reached 54,000 units in 2019, and it is expected to reach 69,000 by 2022.
  • Government initiatives, such as Advanced Manufacturing Partnership, which are undertaken to make the industry, various universities, and the federal government to invest in the emerging automation technologies, will contribute in increasing the production of machine vision systems.
  • Moreover, according to the MAPI (Manufacturers Alliance for Productivity and Innovation), the US manufacturing production is predicted to increase by 2.8% from 2018 to 2021, which is likely to further enhance the adoption of robotic vision technologies in the country.
  • According to the International Federation of Robotics, in the American region, the growth rate of robots witnessed an increase of 20% as compared to the previous year, which marked a new record level for the consecutive sixth year. Moreover, robot installations in the United States increased for the eighth year in a row to a new peak in 2018, witnessing about 40,300 units, which is a 22% increase as compared to 2017.
  • The industrial robots play a crucial role in the industrial automation, with multiple core operations in industries being managed by different types of robots. With the economic growth across various regions, the growth of electronics, e-commerce, and automotive industries, among others, is on the rise. With the increasing demand across economies, product manufacturers are increasingly adopting robots, primarily to automate the repetitive processes. Also, according to the Robotic Industries Association, more than 250,000 industrial robots have been installed in the United States alone, giving an estimate of the penetration of industrial robots.

Competitive Landscape


The global vision guided robotics market is moderately fragmented whch is characterized by the advent of recent technologies. It has the presence of several global and regional vendors who manufacture their own vision guided robots or procure vision system from suppliers and integrate it in their industrial robots. Additionally, the vendors are manufacturing industry specific vision guided robots and providing technologies for various industrial applications.


  • April 2019 - Cobot Manufacturer, OnRobot, released a new 2.5D vision that has been designed for guided robotic applications. Designed for simplifying the use in CNhC applications, the device has been dubbed eyes.
  • April 2020- ABB simplified the usage of its popular SCARA robots by giving users the ability to commission and control the robots from their PC through the RobotStudio, which is the company’s simulation and offline programming software.

Additional Benefits:

  • The market estimate (ME) sheet in Excel format
  • 3 months of analyst support


This product will be delivered within 2 business days.

Table of Contents

1 INTRODUCTION
1.1 Study Assumptions and Market Definition
1.2 Scope of the Study
2 RESEARCH METHODOLOGY3 EXECUTIVE SUMMARY
4 MARKET DYNAMICS
4.1 Market Overview
4.2 Market Drivers
4.2.1 Increased Adoption of Cognitive Humanoid Robots is Expected to Act as a Driver
4.2.2 Growing Demand from End - User Segments like Automotive Industry
4.3 Market Restraints
4.3.1 High Initial Investment is Expected to be a Major Restraint
4.4 Porters Five Force Analysis
4.4.1 Threat of New Entrants
4.4.2 Bargaining Power of Buyers/Consumers
4.4.3 Bargaining Power of Suppliers
4.4.4 Threat of Substitute Products
4.4.5 Intensity of Competitive Rivalry
4.5 Industry Value Chain Analysis
4.6 Assessment of Impact of Covid-19 on the Industry
5 MARKET SEGMENTATION
5.1 Technology
5.1.1 2D Vision
5.1.2 3D Vision
5.2 End User Industry
5.2.1 Automotive
5.2.2 Electronics
5.2.3 Aerospace
5.2.4 Food and Beverage
5.2.5 Pharmaceutical
5.2.6 Other End User Industries
5.3 Geography
5.3.1 North America
5.3.2 Europe
5.3.3 Asia Pacific
5.3.4 Rest of the World
6 COMPETITIVE LANDSCAPE
6.1 Company Profiles*
6.1.1 Qualcomm Technologies, Inc.
6.1.2 Keyence Corporation
6.1.3 FANUC Corporation
6.1.4 ABB Group
6.1.5 Sick AG
6.1.6 Teledyne Dalsa Inc.
6.1.7 Cognex Corporation
6.1.8 Omron Adept Technology, Inc.
6.1.9 National Instruments Corporation
6.1.10 Hexagon AB
7 INVESTMENT ANALYSIS8 FUTURE OF THE MARKET

Companies Mentioned

A selection of companies mentioned in this report includes:

  • Qualcomm Technologies, Inc.
  • Keyence Corporation
  • FANUC Corporation
  • ABB Group
  • Sick AG
  • Teledyne Dalsa Inc.
  • Cognex Corporation
  • Omron Adept Technology, Inc.
  • National Instruments Corporation
  • Hexagon AB

Methodology

Loading
LOADING...