Emergen Research’s new report, titled ‘Global Deep Neural Networks Market,’ is methodically curated by our team of analysts with readers’ comprehension in mind, and includes a comprehensive database of industry distribution. The report examines historical and current market scenarios in order to forecast the global Deep Neural Networks Market outlook over the forecast period (2020-2027). Researchers took a comprehensive approach to global market analysis, highlighting the factors that influence the market’s overall growth. The research employs effective analytical tools such as SWOT analysis and Porter’s Five Forces to examine the strengths, weaknesses, opportunities, and threats associated with the growth of various market segments.
In 2027, it is anticipated that the global deep neural networks market would grow to $5.98 billion. The market is anticipated to grow significantly as a result of the widespread adoption of big data analytics, the development of deep learning via neural networks, and the use of cognitive analytical techniques across a variety of industry verticals, including IT & Telecommunication, BFSI, e-commerce, and healthcare, among others. Deep neural networks are increasingly being used in clinical diagnosis, picture and signal analysis and interpretation, medicine and vaccine development, among other applications, which is driving the market’s overall growth. Because to its many applications in fields like financial analysis, predictive costing, risk analysis, and others, the BFSI industry segment held a substantial market share.
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The global Deep Neural Networks industry is highly consolidated owing to the presence of renowned companies operating across several international and local segments of the market. These players dominate the industry in terms of their strong geographical reach and a large number of production facilities. The companies are intensely competitive against one another and excel in their individual technological capabilities, as well as product development, innovation, and product pricing strategies.
Leading Market Players Profiled in the Report:
Google, Oracle, Microsoft, IBM, Qualcomm, Intel, Ward Systems, Starmind, Neurala, NeuralWare, and Clarifai
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Further key findings from the report suggest
Software and applications are the most commonly used attributes that have been incorporating deep neural networks in 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.
Key market aspects studied in the report:
Market Scope: The report explains the scope of various commercial possibilities in the global Deep Neural Networks market over the upcoming years. The estimated revenue build-up over the forecast years has been included in the report. The report analyzes the key market segments and sub-segments and provides deep insights into the market to assist readers with the formulation of lucrative strategies for business expansion.
Competitive Outlook: The leading companies operating in the Deep Neural Networks market have been enumerated in this report. This section of the report lays emphasis on the geographical reach and production facilities of these companies. To get ahead of their rivals, the leading players are focusing more on offering products at competitive prices, according to our analysts.
Report Objective: The primary objective of this report is to provide the manufacturers, distributors, suppliers, and buyers engaged in this sector with access to a deeper and improved understanding of the global Deep Neural Networks market.
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The report bifurcates the Deep Neural Networks market on the basis of different product types, applications, end-user industries, and key regions of the world where the market has already established its presence. The report accurately offers insights into the supply-demand ratio and production and consumption volume of each segment.
Segments Covered in this report are:
Component Outlook (Revenue: USD Billion; 2017-2027)
Software & Application
Application Outlook (Revenue: USD Billion; 2017-2027)
Deployment Mode Outlook (Revenue: USD Billion; 2017-2027)
North America (the U.S., Canada, Mexico)
Europe (the U.K., Germany, France, Italy)
Asia Pacific (India, China, Japan, Korea)
Latin America (Brazil, Argentina, Ecuador, Chile)
Middle East & Africa (Egypt, Turkey, Saudi Arabia, Iran)
Key reasons to buy the Global Deep Neural Networks Market report:
The latest report comprehensively studies the global Deep Neural Networks market size and provides useful inference on numerous aspects of the market, such as the current business trends, market share, product offerings, and product share.
The report offers an insightful analysis of the regional outlook of the market.
It offers a detailed account of the end-use applications of the products & services offered by this industry.
The report holistically covers the latest developments taking place in this industry. Therefore, it lists the most effective business strategies implemented by the market rivals for ideal business expansion.
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