The Global Deep Neural Networks Market is projected to reach USD 5.98 billion in 2027. The market is expected to be driven owing to extensive rise in the big data analytics, emergence of the deep learning through neural networks and cognitive analytical procedures in various verticals including IT Telecommunication, BFSI, e-commerce, and healthcare, among others. The rising implementation of the deep neural networks in clinical diagnosis, image signal analysis and interpretation, and drug vaccine development, among others, are propelling the market growth broadly. The BFSI sector segment had a mentionable market share due to numerous application areas related to financial analysis, predictive costing, risk investigation, and others.
The report is the latest document covering the massive impact of the COVID-19 pandemic on the worldwide Deep Neural Networks industry. The globally-disrupting incidence has impacted nearly every aspect of this business domain. The latest study expounds on the present market scenario and forecasts the pandemic’s aftermath in this industry. Furthermore, the market’s most prominent aspects have been discussed in the report, with expert opinions on the current market status.
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Competitive Scenario
Google, Oracle, Microsoft, IBM, Qualcomm, Intel, Ward Systems, Starmind, Neurala, NeuralWare, and Clarifai, among others.
Market Report Segmentation
Emergen Research has segmented into the global Deep Neural Networks Market on the basis of Component, Application, Deployment Mode, End-Use Verticals, and region:
Component Outlook (Revenue: USD Billion; 2017-2027)
Software Application
Services
Application Outlook (Revenue: USD Billion; 2017-2027)
Data Preprocessing
Analytical Tools
Visualization
Optimization
Others
Deployment Mode Outlook (Revenue: USD Billion; 2017-2027)
Cloud
On-Premises
End-Use Verticals Outlook (Revenue: USD Billion; 2017-2027)
BFSI
IT Telecommunication
Electronics Semiconductors
Aerospace Defense
Healthcare Biotechnology
Energy Utilities
Manufacturing Industries
Retail E-Commerce
Others
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Some Key Highlights from the Report
Software and applications are the most commonly used attributes that have been incorporating deep neural networksin use for research simulators, building visualization to monitor training process, simulate the behavior of the consumers using the apps and software, among others. Software and application sub-segment is growing at a CAGR of 22.6% throughout the forecast period.
The market is projected to see a substantial growth owing to its huge implementation in various sectors especially in North American region. Increasing use of advanced technology in BFSI, IT Telecommunication and Healthcare sectors is anticipated to stimulate demand for the deep neural networks in the region.
The deep neural networks are widely used in the field of visualization and visual analytics for the communicating information and discovering meaningful insights by using various visual encodings to transform the abstract data into useful representations.
In 2018, Switzerland based leading AI Tech company, Starmind, announced an investment of USD 15 Million in its self-learning next generation designing and algorithms, based on the artificial neural network.
Regional Segmentation
North America (U.S., Canada)
Europe (U.K., Italy, Germany, France, Rest of EU)
Asia Pacific (India, Japan, China, South Korea, Australia, Rest of APAC)
Latin America (Chile, Brazil, Argentina, Rest of Latin America)
Middle East Africa (Saudi Arabia, U.A.E., South Africa, Rest of MEA)
In conclusion, the report provides a qualitative and quantitative analysis of the Global Deep Neural Networks market, including the global and regional analysis of the market. The study covers critical information and factual data about the Deep Neural Networks market industry, along with an in-depth statistical analysis of the market drivers, limitations, growth prospects, opportunities, and threats. On the basis of the current market scope, the report provides an extensive analysis of how the Deep Neural Networks market is expected to fare in the forecast timeline. The report utilizes Deep Neural Networks analytical tools to offer an estimation of the outlook of the global state of the Deep Neural Networks market industry.
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