Asia-Pacific Deep Learning Neural Networks (DNNs) Market, By Component (Hardware , Software, and Services), Application (Image Recognition, Natural Language Processing ,Speech Recognition, Data Mining), End-User (Banking, Financial Services and Insurance (BFSI), IT and Telecommunication, Healthcare, Retail, Automotive, Manufacturing, Aerospace and Defence, Security, Others), Country (Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific)- Industry Trends and Forecast to 2028.
Market Analysis and Insights: Asia-Pacific Deep Learning Neural Networks (DNNs) Market
The deep learning neural networks (DNNs) market is expected to witness market growth at a rate of 23% in the forecast period of 2021 to 2028, and is expected to reach the value of USD 2.3 billion by 2028. Data Bridge Market Research report on deep learning neural networks (DNNs) market provides analysis and insights regarding the various factors expected to be prevalent throughout the forecast period while providing their impacts on the market’s growth. The increase in demand for the product for various industrial applications is escalating the growth of deep learning neural networks (DNNs) market.
The deep learning neural networks (DNNs) is defined as the machine learning based technology that is widely utilized for diagnosis solving prediction, and decision making, among others on a well-defined computational architecture. These technologies are deployed in the various applications such as computer security, speech recognition, and image and video recognition to medical diagnostics, industrial fault detection, and finance.
The increase in popularity of Artificial intelligence (AI) across the region acts as one of the major factors driving the growth of deep learning neural networks (DNNs) market. The increase in the collection of data from users by various organizations and high adoption of the technology owning to the enhanced processing power, learning ability, and speed of neural networks accelerate the market growth. The surge in demand for detection of complex nonlinear relationships between variables and recognize patterns in big data, and quick adoption of newer Components, especially AI among consumers and end-user industries as it assists them in taking informed and sound decisions and making their life easier further influence the market. Additionally, rapid digitization, high demand to train large volumes of data sets with low supervision, surge in investments and growth and development in the Artificial Intelligence positively affect the deep learning neural networks (DNNs) market. Furthermore, innovations in the existing product extend profitable opportunities to the market players in the forecast period of 2021 to 2028.
On the other hand, lack of awareness about the component and complexities while implementing algorithms and integrating hardware are expected to obstruct the market growth. Lack of skilled professionals is projected to challenge the deep learning neural networks (DNNs) market in the forecast period of 2021-2028.
This deep learning neural networks (DNNs) market report provides details of new recent developments, trade regulations, import export analysis, production analysis, value chain optimization, market share, impact of domestic and localized market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographic expansions, technological innovations in the market. To gain more info on deep learning neural networks (DNNs) market contact Data Bridge Market Research for an Analyst Brief, our team will help you take an informed market decision to achieve market growth.
Asia-Pacific Deep Learning Neural Networks (DNNs) Market Scope and Market Size
The deep learning neural networks (DNNs) market is segmented on the basis of component, application and end-user. The growth among segments helps you analyze niche pockets of growth and strategies to approach the market and determine your core application areas and the difference in your target markets.
- On the basis of component, the deep learning neural networks (DNNs) market is segmented into hardware, software and services.
- On the basis of application, the deep learning neural networks (DNNs) market is segmented into image recognition, speech recognition, natural language processing, and data mining.
- On the basis of end-user, the deep learning neural networks (DNNs) market is segmented into banking, financial services and insurance (BFSI), it and telecommunication, healthcare, retail, automotive, manufacturing, aerospace and defence, security and others.
Asia-Pacific Deep Learning Neural Networks (DNNs) Market Size Country Level Analysis
The deep learning neural networks (DNNs) market is analyzed and market size insights and trends are provided by country, component, application and end-user as referenced above.
The countries covered in the Asia-Pacific deep learning neural networks (DNNs) market report are Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, and Rest of Asia-Pacific.
Japan dominates the Asia-Pacific deep learning neural networks (DNNs) market owning to the technological advancements in the region.
The country section of the report also provides individual market impacting factors and changes in regulation in the market domestically that impacts the current and future trends of the market. Data points such as consumption volumes, production sites and volumes, import export analysis, price trend analysis, cost of raw materials, down-stream and upstream value chain analysis are some of the major pointers used to forecast the market scenario for individual countries. Also, presence and availability of global brands and their challenges faced due to large or scarce competition from local and domestic brands, impact of domestic tariffs and trade routes are considered while providing forecast analysis of the country data.
Competitive Landscape and Asia-Pacific Deep Learning Neural Networks (DNNs) Market Share Analysis
The deep learning neural networks (DNNs) market competitive landscape provides details by competitor. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, global presence, production sites and facilities, production capacities, company strengths and weaknesses, product launch, product width and breadth, application dominance. The above data points provided are only related to the companies’ focus related to deep learning neural networks (DNNs) market.
The major players covered in the deep learning neural networks (DNNs) market report are LYUDA RESEARCH, LLC, ALPHABET INC. (google), IBM, Micron Technologies, Inc., Neural Technologies Limited, NEURODIMENSION, INC., NEURALWARE, NVIDIA CORPORATION, SKYMIND INC., SAMSUNG, Qualcomm Technologies, Inc., Intel Corporation, Amazon Web Services, Inc., Microsoft, GMDH LLC., Sensory Inc., Ward Systems Group, Inc., Xilinx Inc., Starmind and among others.
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Research Methodology
Data collection and base year analysis are done using data collection modules with large sample sizes. The stage includes obtaining market information or related data through various sources and strategies. It includes examining and planning all the data acquired from the past in advance. It likewise envelops the examination of information inconsistencies seen across different information sources. The market data is analysed and estimated using market statistical and coherent models. Also, market share analysis and key trend analysis are the major success factors in the market report. To know more, please request an analyst call or drop down your inquiry.
The key research methodology used by DBMR research team is data triangulation which involves data mining, analysis of the impact of data variables on the market and primary (industry expert) validation. Data models include Vendor Positioning Grid, Market Time Line Analysis, Market Overview and Guide, Company Positioning Grid, Patent Analysis, Pricing Analysis, Company Market Share Analysis, Standards of Measurement, Global versus Regional and Vendor Share Analysis. To know more about the research methodology, drop in an inquiry to speak to our industry experts.
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