Scope of the Study
Deep learning is a subset of neural networks. The deep learning architectures includes deep neural networks, conventional neural networks, recurrent neural networks and many more. The software helps in analyzing the complex data and gather the information from it. It consists of algorithms which uses artificial neural networks that helps in learning multiple levels. These levels are the distinct level where lower levels defines higher levels concept. Moreover, these deep learning software helps the users to examine data and make the decisions.
The market study is being classified, by Application (Speech recognition, Image recognition and Natural language processing) and major geographies with country level break-up.
IBM (United States), Microsoft (United States), Nvidia (United States), Nuance (United States), AWS (United States), Wolfram (United States), Sayint (India), Consagous Technologies (United States), Clarifai (United States) and Deep cognition (United States) are some of the key players profiled in the study. Additionally, the Players which are also part of the research are Blairís (United States) and SoluLab (United States).
Research Analyst at AMA predicts that United States Players will contribute to the maximum growth of Global Deep Learning Software market throughout the predicted period.
AdvanceMarketAnalytics has segmented the market of Global Deep Learning Software market by Type, Application and Region.
On the basis of geography, the market of Deep Learning Software 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.
- Rising complexity and diversity of mobile networks is driving the market of deep learning. These increasing complexity has made the managing of the network difficult. Hence, the companies are focusing to introduce machine learning to reduce these complexity
- Introduction of Wide Range of Voice Enable Applications which uses Natural Language Processing Algorithms, an Example of Deep Learning
- Rising Demand of Neural Networks in Robots for Predicting Stock Markets and Improvement in Order Fulfillment.
- Rising Adoption of Cloud Based Technology
- Good Quality Data Acquisition is a Challenge
- Time Required by Algorithms to Learn and Develop
Market Leaders and their expansionary development strategies
On 4th February 2019, Microsoft has acquired Data sense management from bright bites. This acquisition helps the company to deepen the position.
On November 2019, Worley has launched the data refinery which is a hub in applied data science and machine learning solution in chemical, energy and resources industry.
Key Target AudienceManufacturers, Distributors and Traders, Research Organisations, Government Agencies and Organisations
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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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