Deep Learning in Machine Vision Market to Grow at a Surprising CAGR of 6.9% by 2029, Size, Business Strategies, Competitive Landscape and Regional Overview

Data Bridge Market Research has introduced a comprehensive report titled “Deep Learning in Machine Vision Market,” offering an extensive exploration of growth strategies, drivers, opportunities, key segments, Porter’s Five Forces analysis, and the competitive landscape. In today’s rapidly changing marketplace, the adoption of the Deep Learning in Machine Vision market research report service has become crucial for effective business growth. Staying informed about significant developments through valuable market reports and industry insights is vital in this competitive age. This industry report serves as a valuable source of information, providing current and future technical and financial details of the industry until 2030. By conducting a detailed market study and analyzing trends in consumer and supply chain dynamics, businesses can formulate strategies for sales, marketing, and promotion.

Deep learning in machine vision market is expected to gain market growth in the forecast period of 2022 to 2029. Data Bridge Market Research analyses that the market is growing with the CAGR of 12.5% in the forecast period of 2022 to 2029 and expected to reach USD 9,262.40 million by 2029.

The major factors driving the growth of the deep learning in machine vision market are increasing adoption of AI, deep learning and technical advancements in hardware and software. Rising adoption of 3D inspection system over conventional inspection systems is increasing which is boosting the growth of the market. The security threats of neural networks and deep learning is acting as a major challenge for the growth of the market as the threats are increased with the evolution of technology.

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Top Leading Key Players of Deep Learning in Machine Vision Market:

• Cognex Corporation
• Intel Corporation
• National Instruments Corp.
• SICK AG
• Datalogic S.p.A.
• STEMMER IMAGING AG
• Abto Software
• Adaptive Vision Sp. z o.o. (subsidiary of Zebra Technologies Corporation)
• Autonics Corporation
• Basler AG
• Cyth Systems, Inc.
• EURESYS S.A.
• IDS Imaging Development Systems GmbH
• Integro Technologies Corp.
• LeewayHertz
• Matrox Imaging
• MVTEC SOFTWARE GMBH
• Omron Microscan Systems, Inc. (A Subsidiary of OMRON Corporation)
• perClass BV
• Qualitas Technologies

Recent Development:

• In March 2020, KEYENCE CORPORATION launched a new product in vision system with Pattern Projection Lighting CV-X Series which is capable of 2D inspection vision system, height extraction and 3D inspection among others. It is powered by vision controller. It was a unique product which can inspect and analyze the flaws and it can be widely used in automobile companies. It is a great asset for the company because of its reliability in detecting flaws
• In April 2020, Cadence Design Systems, Inc. launched new product- Vision Q8 and Vision P1 DSPs. This was done to support the growing demand in sectors such as automotive, mobile and consumer markets. As these models were optimized for high-end mobile and multi-camera automotive applications, the products improve the performance by 4 times. This was done by the company to expand its product portfolio and offer reliable products to the consumers

Key Market Segments Covered in Deep Learning in Machine Vision Industry Research

• On the basis of offering, the global deep learning in machine vision market is segmented into hardware, software, and services. In 2022, the hardware held a larger share in the market as 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 machine vision market.
• 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, as the companies perform quality assurance & inspection of their products before selling into market, which will help increase their revenue.
• 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 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.
• On the basis of vertical, global deep learning in machine vision market has been segmented into electronics, manufacturing, automotive and transportation, food & beverages, aerospace, healthcare, building and material, power, and others. In 2022, electronics segment is expected to hold the largest share in the market 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.

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Deep Learning in Machine Vision Market Regional Analysis/Insights

The countries covered in the Deep Learning in Machine Vision Market report are the 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.

The country section of the report also provides individual market-impacting factors and changes in market regulation that impact the current and future trends of the market. Data point downstream and upstream value chain analysis, technical trends, porter’s five forces analysis, and case studies are some of the pointers used to forecast the market scenario for individual countries. Also, the presence and availability of global brands and their challenges faced due to large or scarce competition from local and domestic brands, the impact of domestic tariffs, and trade routes are considered while providing forecast analysis of the country data.

Important Features that are under Offering Market Highlights of the Reports:

• Detailed Overview of this Market
• Changes in industry market dynamics
• Detailed market segmentation by type, application, etc.
• The historical, current, and projected market size in terms of quantity and value
• Recent industry trends and developments
• Competition situation of this Market
• Key companies and product strategies
• Potential niche segment/region showing promising growth.

Finally, this Market Report is the authoritative source for market research that can dramatically accelerate your business. The report shows economic conditions such as major locales, item values, profits, limits, generation, supply, requirements, market development rates, and numbers

Table of Contents:

1. Introduction
2. Market Segmentation
3. Executive Summary
4. Premium Insights
5. Market Overview
6. Global Deep Learning in Machine Vision Market, By Segmentations
7. Global Deep Learning in Machine Vision Market, By Region
8. Global Deep Learning in Machine Vision Market, Company Landscape
9. SWOT Analysis
10. Company Profile
11. Questionnaire
12. Related Reports

New Business Strategies, Challenges & Policies are mentioned in Table of Content, Request TOC: https://www.databridgemarketresearch.com/toc/?dbmr=global-deep-learning-in-machine-vision-market

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https://www.databridgemarketresearch.com/reports/asia-pacific-deep-learning-in-machine-vision-market

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