Deep Learning In Machine Vision Market 2018: Cognex Corporation, MVTEC Software GMBH, Qualitas Technologies, SUALAB, Cyth Systems Others -Analysis And Forecast Till 2025
Global Deep Learning In Machine Vision Market is expected to reach USD 997.27 million by 2025 and is projected to register a healthy 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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Key Points: Global Deep Learning in Machine Vision Market
Cognex Corporation is going to dominate the global deep learning in machine vision market followed by MVTEC Software GMBH, Qualitas Technologies, SUALAB and Cyth Systems.
• The image classification segment is dominating the global deep learning in machine vision market.
• Automotive segment is expected to grow with the highest CAGR of 49.6% in the forecast period 2018 to 2025.
Key Highlights Covered in this report
The report covers the present scenario and the growth prospects of the global deep learning in machine vision for 2018-2025. To calculate the market size, the report considers the revenue generated from the sales of the web conferencing and unified communication and collaboration (UC&C) and video conferencing, secondary resources and doing in-depth company share analysis of major 10 players in the market.
The key market players for global deep learning in machine vision market are listed below:
• Cognex Corporation
• MVTEC Software GMBH
• Qualitas Technologies
• Cyth Systems
• Among Others
The global deep learning in machine vision market is highly fragmented and the major players have used various strategies such as new product launches, expansions, agreements, joint ventures, partnerships, acquisitions, and others to increase their footprints in this market
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The major factors contributing to the growth of the market includes factors such as increasing need for quality inspection and automation, growth in adoption of cloud-based applications and growing demand for vision-guided robotic systems. On the other hand, Lack of technical expertise and absence of standards and protocols and services and lack of user awareness about rapidly changing computer vision technology for deep learning in machine vision are hampering the market growth.
Table Of Content:
Part 01: Executive Summary
Part 02: Scope Of The Report
Part 03: Global Deep Learning In Machine Vision Market Landscape
• Market ecosystem
• Market characteristics
• Market segmentation analysis
Part 04: Global Deep Learning In Machine Vision Market Sizing
• Market definition
• Market sizing 2018
• Market size and forecast 2018-2025
Part 05: Five Forces Analysis
• Bargaining power of buyers
• Bargaining power of suppliers
• Threat of new entrants
• Threat of substitutes
• Threat of rivalry
• Market condition
Part 06: Global Deep Learning In Machine Vision Market Segmentation By Product
• Market segmentation by product
• Market segmentation By Applications
• Market segmentation By End Users
• Comparison by product
• Others - Market size and forecast 2018-2025
• Market opportunity by product
Part 07: Customer Landscape
Part 08: Geographic Landscape
• Geographic segmentation
• Geographic comparison
• Americas - Market size and forecast 2018-2025
• EMEA - Market size and forecast 2018-2025
• APAC - Market size and forecast 2018-2025
• Key leading countries
• Market opportunity
Part 09: Decision Framework
Part 10: Drivers And Challenges
• Market drivers
• Market challenges
Part 11: Market Trends
Part 12: Vendor Landscape
• Landscape Disruption
Part 13: Vendor Analysis
And More…..Get Detailed TOC: https://databridgemarketresearch.com/toc/?dbmr=global-deep-learning-in-machine-vision-market
Key Drivers: Global Deep Learning in Machine Vision Market
• 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
• Lack of technical expertise and absence of standards and protocols and services and lack of user awareness about rapidly changing computer vision technology for deep learning in machine vision are hampering the growth of the market.
Market Segmentation: Global Deep Learning in Machine Vision Market
The global deep learning in machine vision market is segmented on the basis of application into
• image classification,
• optical character recognition,
• bar code detection
• anomaly detection.
The global deep learning in machine vision market is segmented on the basis of end-user into
• broad-based automotive,
• food & beverage,
• aerospace & defence
Based on geography, the market is segmented into 5 geographical regions,
• North America,
• Europe, Asia-Pacific,
• South America
• Middle East and Africa.
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