Deep Learning Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, 2017-2027, Segmented By Offering (Hardware, Software, and Services), By Application (Image Recognition, Signal Recognition, and Data Mining), By End-User Industry (Healthcare, Retail, Automotive, Security, Manufacturing, and Others), By Architecture (RNN, CNN, DBN, DSN, and GRU), and By Region
Published Date: November - 2024 | Publisher: MIR | No of Pages: 320 | Industry: ICT | Format: Report available in PDF / Excel Format
View Details Buy Now 2890 Download Sample Ask for Discount Request CustomizationDeep Learning Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, 2017-2027, Segmented By Offering (Hardware, Software, and Services), By Application (Image Recognition, Signal Recognition, and Data Mining), By End-User Industry (Healthcare, Retail, Automotive, Security, Manufacturing, and Others), By Architecture (RNN, CNN, DBN, DSN, and GRU), and By Region
The global deep learning market is expected to grow at an impressive CAGR in the forecast period, 2023-2027. Reduction in hardware costs, improvement of computational power, and rise in adoption of cloud-based technology are the primary factors driving the demand for the global deep learning market for the next five years.
Deep learning is a subset of machine learning which involves a neural network with three or more layers. Deep learning learns by processing large amounts of data to extract meaningful information. Deep learning technology enhances the automation process, drives artificial intelligence applications, and services, and performs analytical and physical tasks without human intervention. Deep learning technology is expected to witness massive demand in the forecast period due to an increase in demand for convenience services and applications aiming to improve the consumer experience.
Increased Awareness about Deep Learning Technology Drives the Market Growth
The rise in the adoption of IoT devices across several industries is fueling the demand for technologies having high computational power. Shift to online platforms by prominent industry verticals to increase transparency and access of employees to the company data generates large volumes of data. Deep learning solution provides companies with flexible and scalable insights. The solutions are affordable and help in processing the information in real-time, allowing organizations to make informed decisions in less time.
The banking, financial services, and insurance (BFSI) sector create huge growth opportunities for deep learning technology. The BFSI industry retailers vast amounts of confidential information that needs to be protected from possible cyberattacks. Deep learning technology is highly secure and takes essential steps to adhere to strict compliance guidelines, ensuring that the data is not lost and adequately documented.
Rise in Adoption of Cloud Technology Fuels the Market Demand
With the increase in data generation, the need for tools that can analyze, process, and extract meaningful information is expected to rise. Cloud analytics combines infrastructural, analytical, and technological tools & techniques and aids in obtaining essential data from the dataset. The rapid adoption of cloud-based deep learning platforms eliminates the need to invest in capital and hardware infrastructure and, therefore, is considered highly cost-effective. It also lowers the operational and maintenance costs for organizations. Cloud-based deep learning technology is highly secure and provides enhanced protection to secure critical information of the organization.
Applications in Automotive Industry Supports the Market Growth
The flourishing automotive industry and adoption of attractive features and technologies by automotive manufacturers are expected to create lucrative opportunities for the global deep learning market in the next five years. Deep learning finds several applications in self-driving cars, connected vehicles, predictive maintenance, driver assistance, quality control, and efficiently managing the supply chain. The advancements in deep learning technology and the growing use of advanced technologies in automobiles are expected to accelerate the global deep learning market growth for the next five years.
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Market Segmentation
The global deep learning market is segmented into offering, application, end-user industry, architecture
Market Players
Amazon Web Services (AWS), Google Inc., IBM Corporation, Intel Corporation, Micron Technology, Microsoft Corporation, Nvidia Corporation, Qualcomm, Samsung Electronics, and Sensory Inc. are the market players operating in the global deep learning market.
| Attribute | Details |
| Base Year | 2021 |
| Historic Data | 2017 – 2020 |
| Estimated Year | 2022 |
| Forecast Period | 2023 – 2027 |
| Quantitative Units | Revenue in USD Million, and CAGR for 2017-2021 and 2022-2027 |
| Report coverage | Revenue forecast, company share, competitive landscape, growth factors, and trends |
| Segments covered | Offering Application End-User Industry Architecture |
| Regional scope | North America; Asia Pacific; Europe; South America; Middle East & Africa |
| Country scope | United States; Canada; Mexico; China; India; Japan; South Korea; Australia; Singapore; Malaysia; Germany; United Kingdom; France; Italy; Spain; Poland; Denmark; Brazil; Argentina; Colombia; Poland; Denmark; Saudi Arabia; South Africa; UAE; Iraq; Turkey |
| Key companies profiled | Amazon Web Services (AWS), Google Inc., IBM Corporation, Intel Corporation, Micron Technology, Microsoft Corporation, Nvidia Corporation, Qualcomm, Samsung Electronics, and Sensory Inc. |
| Customization scope | 10% free report customization with purchase. Addition or alteration to country, regional & segment scope. |
| Pricing and purchase options | Avail customized purchase options to meet your exact research needs. Explore purchase options |
| Delivery Format | PDF and Excel through Email (We can also provide the editable version of the report in PPT/Word format on special request) |
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