Global Deep Learning in Machine Vision Market is expected to reach USD 997.27 million by 2025 and progressing at a significant CAGR in the forecast period 2018 to 2025. The new market report contains data for historic years 2016, the base year of calculation is 2017 and the forecast period is 2018 to 2025.

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The global deep learning in machine vision market highly concentrated to a few big players and rest to local players who cater to domestic markets only.
Deep learning in machine vision market is dominated by Cognex Corporation accounting for a highest market share in 2017, followed by Thermo Fisher Scientific Inc., Abbott and Illumina, Inc. among others.

Major Players:
Some of the major players operating in this market are Cognex, Mvtec Software Gmbh, Qualitas Technologies, Jm Vistec, Cyth Systems and Sualab among others.

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Segmentation:
Global Deep Learning in Machine Vision Market By Application (Image Classification, Optical Character Recognition, Bar Code Detection, Anomaly Detection), By End-User (Automotive, Electronics, Food & Beverage, Healthcare, Aerospace & Defense, Others), By Geography (North America, Europe, Asia-Pacific, South America, Middle East & Africa) – Industry Trends and Forecast to 2025.

Drivers:
Some of the major factors driving the market for global deep learning in machine vision market are increasing need for quality inspection and automation, growth in adoption of cloud-based applications and growing demand for vision-guided robotic systems.

INCREASING NEED FOR QUALITY INSPECTION AND AUTOMATION
The increasing applications of deep learning in machine vision market for quality inspection and automation in various industries is a major driver for the growth of the market.
Visual inspection identifies different defects in the components such as scratches, cracks bubbles and measurement of cutting tool wear and welding quality.
The deep learning approach for the machine vision helps in designing automated process of machine vision systems.

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GROWTH IN ADOPTION OF CLOUD-BASED APPLICATIONS
The increased usage of cloud based data for storing and processing a huge amount of data has increased the popularity of the machine vision system in recent years.
The manufactures nowadays are considering automation processes for inspection over manual methods. Conventionally, these processes were controlled in-house for cost and security purposes but now situation has changed.
Business intelligence, IOT, personal assistants, bots and competitive computing allow cloud to collect, store, analyse, and retrieve the data needed for various applications.
For example IoT is used for connecting machines to communicate with one another for the exchange of data.

GROWING DEMAND FOR VISION-GUIDED ROBOTIC SYSTEMS
Increasing demand of mechanization, safety and premium quality of products is expected to drive the market.
In the last two decades, industrial automation has undergone remarkable expansion. Robot systems have made automation of more challenging, complex tasks easier.
According to an article published by Cognex about 10% of the robotic system use vision system and a few of them also have utilized 3D vision capabilities, it has been estimated that the number of robotic system using vision may triple in the coming period of time.

MVTEC SOFTWARE GMBH:
The company was founded in 1996 and is headquartered in Munich, Germany.
The company is engaged in the development and supply of software products for machine vision applications.
The company’s software for machine vision is used in semi-conductor industry, inspection, optical quality control, metrology and in medicine or surveillance.
The various technologies offered by company are deep learning, matching, 3D vision, filtering, measuring and others.

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