The Global Deep Learning in the Machine Vision Market is experiencing significant growth due to advancements in vision systems, artificial intelligence, and computational power. These systems can perceive and comprehend digital images and videos similar to humans. The market's key principles include data or image acquisition, processing, and classification. As industries adopt these cutting-edge technologies for various applications such as object recognition, quality control, and robotics, the market is expected to witness substantial expansion.
Access Full Report at https://www.databridgemarketresearch.com/reports/global-deep-learning-in-machine-vision-market
Data Bridge Market Research analyses that the global deep learning in machine vision market is growing with a CAGR of 12.5% in the forecast period of 2022 to 2029 and was valued as UDS 3,609.96 million in 2021 and expected to reach USD 9,262.40 million by 2029. The increasing emphasis on safety and quality control in industries such as manufacturing and healthcare is driving the demand for advanced image analysis systems based on deep learning in machine vision. These systems ensure compliance with regulations and deliver product excellence, fueling the global market's growth
Key Findings of the Study
The increasing demand for automation across various industries is expected to drive the market's growth rate
The increasing demand for automation across various industries is a major driver of global deep learning in the machine vision market. Automation offers numerous benefits, such as improved efficiency, reduced labor costs, and enhanced accuracy. Deep learning in machine vision plays a crucial role in enabling automation by providing advanced image analysis and recognition capabilities. As businesses strive to optimize their operations and stay competitive, the adoption of deep learning in machine vision is expected to grow significantly in the coming years.
Report Scope and Market Segmentation
|
Report Metric
|
Details
|
|
Forecast Period
|
2022 to 2029
|
|
Base Year
|
2021
|
|
Historic Years
|
2020 (Customizable to 2014-2019)
|
|
Quantitative Units
|
Revenue in USD Million, Volumes in Units, Pricing in USD
|
|
Segments Covered
|
Offering (Hardware, Software and Services), Application (Inspection, Image Analysis, Anomaly Detection, Object Classification, Object Tracking, Counting, Bar Code Detection, Feature Detection, Location Detection, Optical Character Recognition, Face Recognition, Instance Segmentation, and Others), Object (Image and Video), Vertical (Electronics, Manufacturing, Automotive and Transportation, Food and Beverages, Aerospace, Healthcare, Building and Material, Power, and Others)
|
|
Countries Covered
|
U.S., Canada, Mexico, Germany, France, U.K., Italy, Spain, Netherlands, Switzerland, Russia, Turkey, Belgium, Rest of Europe, China, South Korea, Japan, India, Australia, Singapore, Malaysia, Indonesia, Thailand, Philippines, Rest Of Asia-Pacific, Saudi Arabia, South Africa, U.A.E., Egypt, Israel and Rest Of Middle East And Africa, Brazil, Argentina, Rest of South America)
|
|
Market Players Covered
|
Cognex Corporation (U.S.), Intel Corporation (U.S.), NATIONAL INSTRUMENTS CORP. (U.S.), SICK AG (Germany), Datalogic S.p.A (Italy) STEMMER IMAGING AG (Germany) Abto Software (Ukraine), Adaptive Vision Sp. z o.o. (subsidiary of Zebra Technologies Corporation (Poland), Autonics Corporation (South Korea), Basler AG (Germany), Cyth Systems, Inc. (U.S.), EURESYS S.A. (Belgium), IDS Imaging Development Systems GmbH(Germany), Integro Technologies Corp. (U.S.), LeewayHertz (U.S.), Matrox Imaging (Canada), MVTEC SOFTWARE GMBH (Germany), Omron Microscan Systems, Inc. (A Subsidiary of OMRON Corporation) (U.S.), perClass BV (Netherlands) Qualitas Technologies (India) RSIP Vision (Israel) USS Vision LLC (U.S.) Viska Automation Systems Ltd. T/A Viska Systems (Ireland).
|
|
Data Points Covered in the Report
|
In addition to the insights on market scenarios such as market value, growth rate, segmentation, geographical coverage, and major players, the market reports curated by the Data Bridge Market Research also include depth expert analysis, patient epidemiology, pipeline analysis, pricing analysis, and regulatory framework.
|
Segment Analysis:
Deep learning in machine vision market is segmented on the basis of offering, application, object, and vertical.
- On the basis of offering, the global deep learning in the machine vision market is segmented into hardware, software, and services. In 2022, the hardware held a larger share in the market with 44.45% market share, the deep learning in machine vision is dependent on hardware such as frame grabbers, cameras, optics, and many more, which are essential components for deep learning in the machine vision market.
In 2022, the hardware segment dominate the offering segment in the market as the deep learning in machine vision market
In 2022, the hardware segment dominate the offering segment in the deep learning in machine vision market with 44.45% market share due to the success of deep learning in machine vision relies heavily on hardware components like frame grabbers, cameras, optics, and other essential elements. These hardware components are vital for capturing, processing, and analyzing visual data, enabling the effective implementation of deep learning algorithms for accurate and real-time decision-making in various industries, driving the growth of the market in the forecast period of 2022 to 2029.
- On the basis of application, the global deep learning in machine vision market has been segmented into inspection, image analysis, anomaly detection, object classification, object tracking, counting, bar code detection, feature detection, location detection, optical character recognition, face recognition, instance segmentation, and others. In 2022, inspection held a larger share in the market, with 24.45% market share as the companies perform quality assurance and inspection of their products before selling into the market, which will help increase their revenue in the forecast period of 2022 to 2029.
In 2022, the inspection segment dominate the application segment in the deep learning in machine vision market
In 2022, the inspection segment dominate the application segment in the deep learning in machine vision market with 24.45% market share due to the vital role it plays in quality assurance and product inspection processes. Companies rely on advanced machine vision systems to ensure the high-quality and accurate inspection of their products before they reach the market. This helps to maintain customer satisfaction, enhance brand reputation, and ultimately increase revenue by delivering superior products that meet stringent quality standards in the forecast period of 2022 to 2029.
- On the basis of object, global deep learning in machine vision market has been segmented into image and video. In 2022, image segment is expected to hold the major share in the market with 68.26% market share due to growing demand for integration of deep learning with machine vision to automate the manufacturing process which can be used for object detection, smoothening the manufacturing process, error detection, defect detection among others in various industries such as automotive, manufacturing, consumer electronics among others in the forecast period of 2022 to 2029
- On the basis of vertical, global deep learning in machine vision market has been segmented into electronics, manufacturing, automotive and transportation, food and beverages, aerospace, healthcare, building and material, power, and others. In 2022, the electronics segment is expected to hold the largest share in the market with 34.39% market share owing to factors such as growing demand for smart systems which are aided by AI and deep learning-based computer vision systems which proves to be highly accurate and precise in decision making in the forecast period of 2022 to 2029.
Major Players
Data Bridge Market Research recognizes the following companies as the major global deep learning in machine vision market players in global deep learning in machine vision market are Cognex Corporation (U.S.), Intel Corporation (U.S.), NATIONAL INSTRUMENTS CORP. (U.S.), SICK AG (Germany), Datalogic S.p.A (Italy) STEMMER IMAGING AG (Germany) Abto Software (Ukraine), Adaptive Vision Sp. z o.o. (subsidiary of Zebra Technologies Corporation (Poland), Autonics Corporation (South Korea),
Market Developments
- In March 2020, KEYENCE CORPORATION introduced the Pattern Projection Lighting CV-X Series, a cutting-edge vision system with 2D and 3D inspection capabilities. Its reliable flaw detection makes it valuable for automobile companies.
- In April 2020, Cadence Design Systems, Inc. launched Vision Q8 and Vision P1 DSPs to cater to the growing demand in automotive and mobile sectors. These models enhanced performance by 4 times, expanding the company's product range and ensuring reliability for consumers.
- In March 2021, Basler AG released an embedded vision processing kit, enabling various image processing interfaces and camera connections. The kit includes pylon Camera Software Suite, offering certified drivers, user-friendly programming interfaces, and comprehensive camera setup tools.
- In September 2021, KEYANCE launched the High-resolution Camera, CV-X/XG-X Series, featuring a 64 mp camera that enhances accuracy in conventional inspections. The camera's built-in angle sensor facilitates easy installation and quick detection of camera misalignment during operation.
Regional Analysis
Geographically, the countries covered in the global deep learning in machine vision market report are U.S., Canada and Mexico in North America, Germany, France, U.K., Netherlands, Switzerland, Belgium, Russia, Italy, Spain, Turkey, Rest of Europe in Europe, China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA), Brazil, Argentina and Rest of South America as part of South America.
As per Data Bridge Market Research analysis:
North America is the dominant region in the global deep learning in machine vision market during the forecast period 2022 - 2029
North America's dominance in deep learning in the machine vision market is attributed to the significant presence of numerous companies offering a wide range of products in this field. The region's advanced technological infrastructure and high adoption of automation across industries also contribute to its leadership position. Furthermore, North America is projected to experience the highest compound annual growth rate (CAGR) due to the increasing demand for deep learning solutions in various sectors.
Europe. Is estimated to be the fastest growing region in the global deep learning in the machine vision market for the forecast period 2022 - 2029
The Europe is expected to dominate in deep learning in machine vision due to its significant utilization of AI and deep learning technologies. The country's advanced research and development efforts in the field of artificial intelligence have led to widespread adoption of deep learning in various industries, including manufacturing, healthcare, and automotive. Additionally, Europe’s strong technology infrastructure and favorable government initiatives have further propelled the growth of the market in the region.
For more detailed information about the global deep learning in machine vision market report, click here – https://www.databridgemarketresearch.com/reports/global-deep-learning-in-machine-vision-market
