Global Deep Learning Neural Networks (DNNs) Market, By Component (Hardware , Software, and Services), Application (Image Recognition, Natural Language Processing , Speech Recognition and Data Mining), End Users (Banking, Financial Services and Insurance (BFSI), IT and Telecommunication, Healthcare, Retail, Automotive, Manufacturing, Aerospace and Defence, Security and Others), Country (U.S., Canada, Mexico, Brazil, Argentina, Rest of South America, Germany, France, Italy, U.K., Belgium, Spain, Russia, Turkey, Netherlands, Switzerland, Rest of Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific, U.A.E, Saudi Arabia, Egypt, South Africa, Israel, Rest of Middle East and Africa) Industry Trends and Forecast to 2028
Market Analysis and Insights of Deep Learning Neural Networks (DNNs) Market
Rising penetration of internet coupled with the economies rapidly turning digital especially the developing ones have led to the rise in demand for deep learning neural networks (DNNs) technology. Data Bridge Market Research analyses that the deep learning neural networks (DNNs) market will exhibit a CAGR of 42.45% for the forecast period of 2021-2028. This signifies that the market value will rise up to USD 106.5 billion by the year 2028.
Deep learning neural networks (DNNs) is a machine learning-based technology that is used to draw out a higher level of features from raw input. It is a type of machine learning algorithm that is used for decision making, making prediction decisions, and problems based on a well-defined computational architecture. Deep learning neural networks (DNNs) have a complex system of multiple layers where each layer signifies mathematical manipulation. The technology is widely adopted into a range of applications such as speech recognition, image and video recognition among others.
Economies rapidly digitizing themselves are the root cause of the rise in demand for deep learning neural networks (DNNs) technology. Technological advancements being made to focus on data collection, protection and management and the decision-making process are some factors that are propelling the demand for deep learning neural networks (DNNs). The rising demand for cloud computing services to meet the predictive solutions is also fostering the growth of the deep learning neural networks (DNNs) market.
However, lack of awareness resulting in a slow digitization process will impact the growth rate of the deep learning neural networks (DNNs) market. Moreover, the low adoption rate of artificial intelligence based technologies has in turn further slowed down the market growth rate.
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 localised 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, geographical 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.
Global 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 users. The growth amongst the different segments helps you in attaining the knowledge related to the different growth factors expected to be prevalent throughout the market and formulate different strategies to help identify core application areas and the difference in your target market.
- On the basis of component, the market is segmented into hardware, software and services.
- On the basis of application, the market is segmented into image recognition, speech recognition, natural language processing and data mining.
- On the basis of end users, the market is segmented into banking, financial services and insurance (BFSI), IT and telecommunication, healthcare, retail, automotive, manufacturing, aerospace and defence, security and others.
Global Deep Learning Neural Networks (DNNs) Market Country Level Analysis
The deep learning neural networks (DNNs) market is analysed and market size, volume information is provided by country, component, application and end users as referenced above.
The countries covered in the deep learning neural networks (DNNs) market report are U.S., Canada and Mexico in North America, Germany, France, U.K., Netherlands, Switzerland, Belgium, Russia, Italy, Spain, Turkey, Rest of Europe in Europe, China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, Israel, Egypt, South Africa, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA), Brazil, Argentina and Rest of South America as part of South America.
Asia-Pacific is set to undergo a significant growth rate and project the highest compound annual growth rate during the forecast period. This is because of the emerging economies rapidly adopting digitization mechanisms. Rise in the adoption of artificial intelligence based systems is also fostering the growth of deep learning neural networks (DNNs) across countries in this region. Increased focus on the technological advancements is also driving the growth of the market in this region.
The country section of the deep learning neural networks (DNNs) market 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 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 Alyuda Research, LLC., IBM, Micron Technology, Inc., Neural Technologies Limited, NeuroDimension, Inc., NeuralWare, NVIDIA Corporation, SAMSUNG, Skymind, Qualcomm Technologies, Inc., Intel Corporation, Amazon Web Services, Inc., Microsoft, GMDH Inc., Sensory Inc., Ward Systems Group, Inc., Xilinx, Starmind and Google LLC among other domestic and global players. Market share data is available for global, North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South America separately. DBMR analysts understand competitive strengths and provide competitive analysis for each competitor separately.
SKU-