Deep Learning In Machine Vision Market 2018: Qualitative Analysis On Cognex Corporation, MVTEC Software GMBH, Qualitas Technologies, SUALAB, Cyth Systems And Others

Global Deep Learning In Machine Vision market Report deliver comprehensive analysis of the market structure along with forecast of the various segments and sub-segments of the market. The Report contains all the Market shares and approaches of key players in Deep Learning In Machine Vision market.

Deep Learning In Machine Vision report consists of all the detailed profiles for the market’s major manufacturers and importers who are influencing the market. It is a professional and a detailed report focusing on primary and secondary drivers, market share, leading segments and geographical analysis. Further Deep Learning In Machine Vision Market key players, major collaborations, merger & acquisitions along with trending innovation and business policies are reviewed in the report.

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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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

Key Competitors/players:

• Cognex Corporation
• MVTEC Software GMBH
• Qualitas Technologies
• SUALAB
• Cyth Systems
• Among Others

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 Contents:

1. Introduction
2. Market Segmentation
3. Market Overview
4. Executive Summary
5. Premium Insights
6. By Component
7. Product Type
8. Delivery
9. Industry Type
10. Geography
10.1. Overview
10.2. North America
10.3. Europe
10.4. Asia-Pacific
10.5. South America
10.6. Middle East & Africa
11. Company Landscape
12. Company Profiles
13. Related Reports

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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.

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

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,
• electronics,
• food & beverage,
• healthcare,
• aerospace & defence
• others.

Based on geography, the market is segmented into 5 geographical regions,

• North America,
• Europe, Asia-Pacific,
• South America
• Middle East and Africa.

Customization Options

• All segmentation provided above in this report is represented at country level and can be customized according to needs.

• All products covered in the market, product volume and average selling prices will be included as customizable options which may incur no or minimal additional cost (depends on customization).

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This release was published on openPR.