The Global Deep Neural Networks Market research report is a complete study that summarizes the most recent changes and advancements in the Deep Neural Networks industry, with 2018 acting as the base year and the forecast year being 2020–2027. The analysis provides useful details on the market's size, share, sales channels, distribution system, market segmentation, consumer needs, industry trends, and potential for future growth. The research also looks at both global and regional market growth. The paper examines the COVID-19 pandemic's implications for the market for Deep Neural Networks and its key segments.
The Global Deep Neural network Market is projected to reach USD 5.98 billion in 2027. The market is expected to be driven by the extensive rise in big data analytics, the emergence of deep learning through neural networks, and cognitive analytical procedures in various verticals, including IT and telecommunications, BFSI, e-commerce, and healthcare, among others. The rising implementation of deep neural networks in clinical diagnosis, image and signal analysis and interpretation, and drug and vaccine development, among others, is propelling 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.
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The study outlines the rapidly evolving and growing market segments along with valuable insights into each element of the industry. The industry has witnessed the entry of several new players, and the report aims to deliver insightful information about their transition and growth in the market. Mergers, acquisitions, partnerships, agreements, product launches, and joint ventures are all outlined in the report.
The leading market contenders listed in the report are:
Google, Oracle, Microsoft, IBM, Qualcomm, Intel, Ward Systems, Starmind, Neurala, NeuralWare, and Clarifai
Target Audience of the Global Deep Neural Networks Market Report:
- Key Market Players
- Investors
- Venture capitalists
- Small- and medium-sized and large enterprises
- Third-party knowledge providers
- Value-Added Resellers (VARs)
- Global market producers, distributors, traders, and suppliers
- Research organizations, consulting companies, and various alliances interested in this sector
- Government bodies, independent regulatory authorities, and policymakers
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Major Geographies Analyzed in the Report:
- 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)
Market Segmentations of the Deep Neural Networks Market
This market is segmented based on Types, Applications, and Regions. The growth of each segment provides accurate forecasts related to production and sales by Types and Applications, in terms of volume and value for the period between 2020 and 2027. This analysis can help readers looking to expand their business by targeting emerging and niche markets. Market share data is given on both global and regional levels. Regions covered in the report are North America, Europe, Asia Pacific, Latin America, and Middle East Africa. Research analysts assess the market positions of the leading competitors and provide competitive analysis for each company. For this study, this report segments the global Deep Neural Networks market on the basis of product, application, and region:
Segments Covered in this report are:
- 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
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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.
Additional information offered by the report:
- Along with a complete overview of the global Deep Neural Networks market, the report provides detailed scrutiny of the diverse market trends observed on both regional and global levels.
- The report elaborates on the global Deep Neural Networks market size and share governed by the major geographies.
- It performs a precise market growth forecast analysis, cost analysis, and a study of the micro- and macro-economic indicators.
- It further presents a detailed description of the company profiles of the key market contenders.
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