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Sep, 18 2023

Unlocking the Potential: How Deep Learning Transforms Machine Vision in Today's Technology Landscape

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According to Data Bridge Market Research, 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 is expected to reach USD 9,262.40 million by 2029.

“Increasing adoption of AI boosts the market’s growth”

The increasing adoption of AI is a significant driver in the growth of deep learning in the machine vision market. AI-driven solutions, powered by deep learning algorithms, offer unparalleled capabilities in image analysis, enabling industries to automate tasks, enhance quality control, and improve safety. As organizations recognize the potential for efficiency gains and cost savings, they are increasingly integrating these technologies into their operations, propelling the expansion of deep learning in the machine vision market across various sectors.

What restraints the growth of the global deep learning in machine vision market?

“Security threats restraints the market’s growth”

Security threats pose significant restraints in the deep learning machine vision market. Neural networks, while powerful, are susceptible to adversarial attacks, where malicious actors can manipulate input data to deceive the system. This vulnerability raises concerns in critical applications such as autonomous vehicles and surveillance. Additionally, the large datasets required for training may contain sensitive information, potentially compromising privacy. Addressing these security challenges is crucial to ensuring the responsible and secure deployment of deep learning in machine vision solutions.

Segmentation: Global Deep Learning in Machine Vision Market

The global 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 machine vision market is segmented into hardware, software, and services.
  • 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.
  • On the basis of object, global deep learning in machine vision market has been segmented into image and video.
  • 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.

Regional Insights: North America dominates the Global Deep Learning in Machine Vision Market

North America holds a dominant position in the deep learning in machine vision market, characterized by a high number of companies offering diverse products. This region is expected to experience the highest growth rate, with the U.S. contributing significantly. The U.S. leads in market share due to continuous advancements in deep learning hardware and software technologies, solidifying its position as a frontrunner in the adoption and innovation of machine vision solutions.

The U.K. ranks as the second-largest market for deep learning in machine vision, driven by extensive adoption of AI and deep learning technologies. These innovations have fostered substantial utilization of machine vision products, closely following the U.S. in market prominence.

China emerges as the third most influential player in the deep learning in machine vision market, thanks to a thriving ecosystem of hardware manufacturing companies. Coupled with the rapid proliferation of IoT devices in the country, this presence cements China's strong market position.

To know more about the study visit, https://www.databridgemarketresearch.com/reports/global-deep-learning-in-machine-vision-market

Recent Developments

  • In March 2020, KEYENCE CORPORATION introduced a cutting-edge product, the Pattern Projection Lighting CV-X Series, a versatile vision system. This system offers a range of capabilities, including 2D inspection, height extraction, and 3D inspection, all powered by a dedicated vision controller. Its uniqueness lies in its ability to effectively detect and analyze flaws, making it highly valuable, especially in the automotive industry, where its reliability shines in flaw detection.
  • In April 2020, Cadence Design Systems, Inc. unveiled the Vision Q8 and Vision P1 DSPs, marking a strategic move to cater to the increasing demand in sectors such as automotive, mobile, and consumer markets. These models, specifically optimized for high-end mobile and multi-camera automotive applications, deliver a remarkable fourfold performance boost. This initiative reflects the company's commitment to expanding its product lineup and providing consumers with dependable solutions.

The Prominent Key Players Operating in the Global Deep Learning in Machine Vision Market Include:

  • Cognex Corporation (South Korea)
  • 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. (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 (India)

Above are the key players covered in the report, to know about more and exhaustive list of global deep learning in machine vision market companies contact, https://www.databridgemarketresearch.com/contact

Research Methodology: Global Deep Learning in Machine Vision Market

Data collection and base year analysis are done using data collection modules with large sample sizes. The market data is analyzed and estimated using market statistical and coherent models. In addition, market share analysis and key trend analysis are the major success factors in the market report. The key research methodology used by DBMR research team is data triangulation which involves data mining, analysis of the impact of data variables on the market, and primary (industry expert) validation. Apart from this, data models include Vendor Positioning Grid, Market Time Line Analysis, Market Overview and Guide, Company Positioning Grid, Company Market Share Analysis, Standards of Measurement, Global vs Regional and Vendor Share Analysis. Please request analyst call in case of further inquiry.


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