Scope of the Study
Deep learning is an intense machine learning tool that indicates exceptional execution in numerous areas. One of the best deep learning achievements is protest recognition on Convolutional Neural Networks (CNNs). The main control of CNNs is based on the fact that information representations are obtained specifically from information in a progressive layer-based structure. The past few years have shown that deep learning processes outperform traditional machine learning techniques and practices in several areas, particularly computer vision. Some of the major deep learning tools used in computer vision systems are convolutional neural networks, deep Boltzmann machines and deep belief networks, and stacked noise suppression auto-encoders.
The market study is being classified, by Application (Image Recognition, Voice Recognition, Video Surveillance & Diagnostics and Data Mining) and major geographies with country level break-up.
Accenture (Ireland), appLariat (United States), IBM (United States), Microsoft Corporation (United States), VMware (United States), Wipro (India), Appveyor (United States), Red Hat Software (United States), Atlassian (Australia), Bitrise (Hungary), CA Technologies (United States), Chef Software (United States), Circleci (United States), Clarive (Spain), Cloudbees (United States), Electric Cloud (United States), Flexagon (United States), Heroku (United States) and Infostretch (United States) are some of the key players profiled in the study. Additionally, the Players which are also part of the research are Jetbrains (Czechia), Kainos (United Kingdom), Micro Focus (United Kingdom), Shippable (United States), Spirent (United Kingdom) and Xebialabs (United States).
The companies are now exploring the market by adopting mergers & acquisitions, expansions, investments, new developments in existing products, and collaborations as their preferred strategies. The players are also exploring new geographies and industries through expansions and acquisitions so as to avail a competitive advantage through combined synergies. Research Analyst at AMA predicts that United States Players will contribute to the maximum growth of Global Deep Learning In Computer Vision market throughout the predicted period.
AdvanceMarketAnalytics has segmented the market of Global Deep Learning In Computer Vision market by Type, Application and Region.
On the basis of geography, the market of Deep Learning In Computer Vision has been segmented into South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, Taiwan, Australia, Rest of Asia-Pacific), Europe (Germany, France, Italy, United Kingdom, Netherlands, Rest of Europe), MEA (Middle East, Africa), North America (United States, Canada, Mexico). Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.
- Improving Computing Power and Declining Hardware Cost
- Rapid Improvements in Fast Information Storage Capacity
- The Increasing Adoption of Cloud-Based Technology
- High Computing Power and Parallelization
- Rising Usage of Big Data Analytics
- Need For Quality Check and Automation Is Increasing
- Lack of Technical Expertise
- Growing AI Adoption in Customer-Centric Services
- The Advancements in Smart Camera Technology and IoT
- Lack of User Awareness about Rapidly Changing Computer Vision Technology for Deep Learning
Market Leaders and their expansionary development strategies
In January 2016, Movidius, a U.S. based company collaborated with Google Inc. to enhance deep learning capabilities on mobile devices. In September 2016, Intel Corporation announced the acquisition of Movidius for improvising its computer vision and deep learning solutions.
Key Target AudienceProviders of Deep Learning In Computer Vision, End-Users, Potential Investors, Market Research Firms and Others
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Data related to EXIM [Export- Import], production & consumption by country or regional level break-up can be provided based on client request**
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