Showing posts with label 3D Machine Vision Market. Show all posts
Showing posts with label 3D Machine Vision Market. Show all posts

Monday, August 10, 2020

3D Machine Vision Market with COVID-19 impact Analysis

According to the new market research report "3D Machine Vision Market with COVID-19 impact Analysis by Offering (Hardware and Software), Product (PC-based and Smart Camera-based), Application, Vertical (Industrial and Non-Industrial) & Geography - Global Forecast till 2025", published by MarketsandMarkets™, the 3D Machine Vision Market was valued at USD 1.5 billion in 2019 and is projected to reach USD 2.4 billion by 2025; it is expected to grow at a CAGR of 9.4% from 2020 to 2025. The rising awareness of consumers about product quality has led to an increased demand for quality inspection and automation of end products. A growing number of companies are focusing on automation systems to reduce their production costs post-COVID-19. Changes related to high-quality standards have also led to the introduction of factory automation solutions, thereby increasing the demand for 3D machine vision systems and solutions in industries.

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The major factors driving the growth of the 3D machine vision market include the integration of 3D vision systems with robot controllers, rising demand for 3D object analyses in manufacturing applications, and increasing demand for non-industrial 3D machine vision systems. The market penetration of the 3D machine vision market is also analyzed for both pre-and post-COVID-19 scenarios.

Software machine vision is expected to grow at a faster rate during the forecast period

The integration of AI in industrial machine vision software is expected to fuel the growth of the industrial machine vision market for software during the forecasted period as deep learning enables machines to recognize objects. Also, deep learning-based machine vision software helps in minimizing human intervention and provide a real-time solution by distinguishing the acceptable variations in products and the defects in manufacturing industries.

The Smart camera-based system is projected to grow at the highest CAGR from 2020 to 2025.

The growth of the measurement segment can be attributed to the increased use of smart camera-based 3D machine vision systems for integrating programmable automation controllers with human-machine interfaces. A smart camera-based system comprises sensors, processors, camera-to-computer interfaces, and lenses. In other words, in a smart camera, all the components, from the camera to processors and input-output devices, are embedded in a small box. These systems are specially made to replace PC systems that rely on separate cameras, frame grabbers, and software components, among others. These systems consist of an embedded controller with integrated vision software, which is directly connected to one or more cameras that may vary in image resolution and size and imaging rates.

Quality Assurance and Inspection to hold the largest market share in the 3D machine vision market during the forecast period

The key factors driving the growth of the industrial machine vision market for quality assurance and inspection applications include the increasing demand for quality products, growing manufacturing capacity, and shortage of skilled labor. 3D Machine vision systems are also used for inspection and quality assurance of automotive components such as brake disks, height of the windshield, doors, and windows. In the semiconductor industry, 3D machine vision is used for inspecting the lead quality in leaded IC packages.

Food and beverages industry to grow at the fastest rate in the 3D machine vision market during the forecast period

The growth of this segment can be attributed to the increased use of 3D machine vision systems for checking the quality and dimensions of food; for instance, 3D machine vision systems are used to monitor the height of cookies on an assembly line. The food industry is highly labor-intensive. Labor cost is approximately 50% of the product cost, and most of it is repetitive work. This leads to poor quality control and accidents. If the labor cost is reduced by 3D automation by using machine vision systems, the overall cost is likely to be reduced, including labor and medical costs. The post-COVID-19 scenario is expected to witness high demand for automation in the food industry to ensure minimum human intervention during the manufacturing and the processing of food items.

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APAC held the largest market share in the 3D machine vision market between 2020 and 2025

The machine vision market in APAC is expected to hold a major market share during the forecast period as countries in APAC such as China, Japan, India, and South Korea have some of the largest manufacturing facilities wherein automation of manufacturing processes has been taken as the highest priority. The decrease in the number of COVID-19 patients in China is slowly leading to normal manufacturing activities in the country. This, in turn, is expected to drive the growth of the machine vision market in APAC, but it is expected that this growth will not be as significant as it would have been in the pre-COVID-19 era.

The key players in the ecosystem of the 3D machine vision market profiled in this report are OMRON Corporation (Japan), Keyence Corporation (Japan), Cognex Corporation (US), Basler AG (Germany), National Instruments (US), ISRA Vision AG (Germany), TKH group (Netherlands),  Stemmer Imaging (Germany), MVTec Software GmbH (Germany), and Tordivel AS (Norway).  These players have adopted various growth strategies, such as product launches, acquisitions, partnerships, and agreements, to expand their presence in the global machine vision market further. Acquisitions and new product launches and developments have been the most dominating strategies adopted by major players from January 2017 to May 2020, which helped them to innovate on their product offerings, cope up with the COVID-19 outbreak and broaden their customer base.

Sunday, June 14, 2020

3D Machine Vision Market: Business Opportunities and Future Forecasts 2022

The report "3D Machine Vision Market by Offering (Hardware, and Software), Product (PC Based, and Smart Camera Based), Application, Vertical (Industrial and Non - Industrial), and Geography - Global Forecast to 2022 ", global 3D machine vision market is expected to be valued at USD 2.13 Billion by 2022, growing at a CAGR of 11.07% between 2017 and 2022.
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Increasing demand for application-specific machine vision (ASMV) systems
The companies are continuously developing new products and upgrading their existing product portfolio to withstand with the growing competition in the market. Factors such as the increasing labor costs and the better accuracy provided by robots are boosting the adoption of robotics in almost all industries, thereby generating huge demand for 3D machine vision systems. Inspection, identification, measurement, and tracking of products are some of the major applications of 3D machine vision systems in automotive, semiconductor, packaging, and other industries.
The new application areas of 3D machine vision systems include automobiles outfitted with miniature smart cameras and sensors. Built into a cruise control system, for instance, such a camera would alert the driver if it noted a rapidly decelerating vehicle. The cameras could also take the place of the rear view and the side-view mirrors, thereby eliminating dangerous blind spots and recording the seconds prior to a collision, in the event of an accident.
Another example would be automating the process of fish fileting. Connected with the smart camera technology, a 3D image of the fish is created while it is being transported along a conveyor; a structured laser light from the system is used to illuminate the profile of the fish. This structured laser light is then captured, along with visible light, using a 3-D ranger camera to get a 3D image of the fish.
The established players are expected to benefit from building application-specific 3D machine vision systems in-house. The combination of the design and development efforts with vertical domain expertise would be useful in providing improved margin professional services such as solution design and consulting, deployment, and integration. Looking into the future, there are likely to be an infinite number of applications for smart cameras.
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Implementation of 3D depth sensing technology
3D machine vision is still a new technology in the market. OEMs are focusing on improving their manufacturing processes to provide new and better industry-specific products that are easy to install and upgrade with the changing requirements. The 3D sensor architecture should support optimized and standard hardware of IPs for low- to high-level processing of the 3D vision software. Image processing in the 3D depth sensors is slower than that in the 2D depth sensors. Data transfer between the objects and the image sensors, and data processing also take a longer time in case of 3D depth sensing technology. The biggest challenge related to 3D machine vision systems based on low-cost depth sensors is to maintain the quality of the acquired image.

Sunday, December 8, 2019

3D Machine Vision Market is Expected to Grow at a Highest CAGR between 2017-2022



The global 3D machine vision market is expected to be valued at USD 2.13 Billion by 2022, growing at a CAGR of 11.07% between 2017 and 2022.


The companies are continuously developing new products and upgrading their existing product portfolio to withstand with the growing competition in the market. Factors such as the increasing labor costs and the better accuracy provided by robots are boosting the adoption of robotics in almost all industries, thereby generating huge demand for 3D machine vision systems. Inspection, identification, measurement, and tracking of products are some of the major applications of 3D machine vision systems in automotive, semiconductor, packaging, and other industries. 

The new application areas of 3D machine vision systems include automobiles outfitted with miniature smart cameras and sensors. Built into a cruise control system, for instance, such a camera would alert the driver if it noted a rapidly decelerating vehicle. The cameras could also take the place of the rear view and the side-view mirrors, thereby eliminating dangerous blind spots and recording the seconds prior to a collision, in the event of an accident. 

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Another example would be automating the process of fish fileting. Connected with the smart camera technology, a 3D image of the fish is created while it is being transported along a conveyor; a structured laser light from the system is used to illuminate the profile of the fish. This structured laser light is then captured, along with visible light, using a 3-D ranger camera to get a 3D image of the fish.

The established players are expected to benefit from building application-specific 3D machine vision systems in-house. The combination of the design and development efforts with vertical domain expertise would be useful in providing improved margin professional services such as solution design and consulting, deployment, and integration. Looking into the future, there are likely to be an infinite number of applications for smart cameras.


3D machine vision is still a new technology in the market. OEMs are focusing on improving their manufacturing processes to provide new and better industry-specific products that are easy to install and upgrade with the changing requirements. The 3D sensor architecture should support optimized and standard hardware of IPs for low- to high-level processing of the 3D vision software. Image processing in the 3D depth sensors is slower than that in the 2D depth sensors. Data transfer between the objects and the image sensors, and data processing also take a longer time in case of 3D depth sensing technology. The biggest challenge related to 3D machine vision systems based on low-cost depth sensors is to maintain the quality of the acquired image.


The introduction of 3D machine vision has helped in the restructuring of manufacturing processes. There is a paradigm shift from product standardization to product customization.

Different manufacturing sectors have requirements for different machine vision systems based on individual customer’s requirements, so it is extremely difficult to make a standard machine vision system.

There are several challenges related to technologies, which vary from application to application. For instance, some customers require high camera resolution and some expect both high speed as well as high camera resolution in a product. High-end industrial vision technologies require enhanced data acquisition, transmission, processing, and storage power. The advancements in processor technology such as reconfigurable instruction set processors (RSICs) provide options for industrial 3D machine vision integrators to minimize reconfiguration time. However, the integrators still face problems to adopt changes with the rapidly changing customer requirements. Moreover, customers in the industries such as FMCG, which have low cost of production compared to other industries, demand both precision and high-speed vision systems at cheaper costs. These requirements are becoming difficult to meet for OEMs and system integrators.

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MarketsandMarkets™ provides quantified B2B research on 30,000 high growth niche opportunities/threats which will impact 70% to 80% of worldwide companies’ revenues. Currently servicing 7500 customers worldwide including 80% of global Fortune 1000 companies as clients. Almost 75,000 top officers across eight industries worldwide approach MarketsandMarkets™ for their painpoints around revenues decisions.

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Wednesday, June 12, 2019

3D Machine Vision Market 2022 - Rising Demand for Non–Industrial 3D Machine Vision Systems



According to the new research report "3D Machine Vision Market by Offering (Hardware, and Software), Product (PC Based, and Smart Camera Based), Application, Vertical (Industrial and Non - Industrial), and Geography - Global Forecast to 2022", the 3D machine vision market is expected to be valued at USD 2.13 Billion by 2022, growing at a CAGR of 11.07% between 2017 and 2022. The growth of this market is mainly driven by factors such as increasing demand for 3D object analyses in manufacturing applications and rising demand for non–industrial 3D machine vision systems.

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Cameras to lead the 3D machine vision market for the hardware segment between 2017 and 2022

Cameras are expected to hold the largest size of the 3D machine vision market for hardware by 2022, and the market for cameras is likely to grow at a high rate during the forecast period. Cameras in machine vision systems play an important role in capturing 3D images. The high demand for high-quality images, image processing, and compactness would lead cameras to hold the largest size of the 3D machine vision market during the forecast period.

Market for positioning and guidance applications to grow at a significant rate between 2017 and 2022

The market for positioning and guidance applications is expected to grow at a significant rate between 2017 and 2022, owing to the increasing use of robotics in the automotive, pharmacy, food and beverages, and other sectors.

APAC held the largest market share in 2016, and the market in this region to grow at a high rate during the forecast period

APAC held the largest share of the 3D machine vision market in 2016, and the market in this region is expected to grow at a high rate between 2017 and 2022. The increasing adoption of automation across all industries, especially in consumer electronics and automotive, is the major reason for the growth of the 3D machine vision market in APAC. Also, the presence of major manufacturing hubs such as China, Japan, India, and South Korea is contributing to the growth of the 3D machine vision market in this region. In addition, the Japan Industrial Imaging Associations’ (JIIA) efforts in developing and promoting 3D imaging technologies in APAC are further boosting the growth of the 3D machine vision market in the region.

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The key players operating in the 3D machine vision market include Cognex Corporation (U.S.), Keyence Corporation (Japan), ISRA Vision AG (Germany), Sick AG (Germany), Basler AG (Germany), Stemmer Imaging (Germany), National Instruments (U.S.), MVTec Software GmbH(Germany), Tordivel AS (Norway), and LMI Technologies (Canada).

About MarketsandMarkets™

MarketsandMarkets™ provides quantified B2B research on 30,000 high growth niche opportunities/threats which will impact 70% to 80% of worldwide companies’ revenues. Currently servicing 7500 customers worldwide including 80% of global Fortune 1000 companies as clients. Almost 75,000 top officers across eight industries worldwide approach MarketsandMarkets™ for their painpoints around revenues decisions.

Contact:
Mr. Shelly Singh
MarketsandMarkets™ INC.
630 Dundee Road
Suite 430
Northbrook, IL 60062
USA : 1-888-600-6441
newsletter@marketsandmarkets.com

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