The Deep Learning Market is expected to reach $110 billion by 2026, registering a CAGR of 38.25%.
Deep learning mimics the human brain, allowing machines to learn to recognize objects and perform complex tasks with increasing precision without the need for human interaction. Deep learning is a branch of machine learning in which vast quantities of data are 'learned' through multi-layered neural networks modeled after the human brain. Deep learning algorithms conduct calculations and make predictions repeatedly within each layer of the neural network, increasingly 'learning' and improving the accuracy of the outcome over time. Artificial intelligence (AI) software and services depend on deep learning to enhance automation and perform analytical and physical tasks without human intervention.
The growing demand for deep learning software among contact centers, as well as the organization rising emphasis on lowering operating costs, are the major factors driving the market's growth around the world. Since deep learning algorithms can run or execute faster on a GPU than on a CPU, there is a growing need to increase computing power and lower hardware costs, resulting in widespread adoption of deep learning technologies across industries. Moreover, the global deep learning market is expected to expand due to the proliferation of deep learning integration with big data analytics over the forecast period.
The Deep Learning Market is segmented by Type (Software, Hardware, Service), by Application (Signal Recognition, Image Recognition, Others), by End-User (Aerospace & Defense, Automotive, Manufacturing, Healthcare, Others). The market is further analyzed on the basis of regional analysis and divided into major regions like North-America, Latin America, Asia-Pacific, Europe and MEA.
Further Key Findings from the Report Suggest
- The hardware segment produced the largest revenue in the industry, out of all the components segment. The growth can be attributed to the widespread use of hardware such as graphics processing units and storage devices, which help with deep learning model training and data storage for deep neural networks.
- North America is projected to hold a substantial share of the global deep learning market, owing to a steady increase in significant data volume, as well as an expected rise in demand for the application of DL in enterprise consumer-centric solutions.
- Netflix developed a machine learning framework based on Java Virtual Machine (JVM) languages such as Scala. The platform allows audiences to challenge their preconceived ideas and discover shows they would not have selected otherwise.
Key Participants like Advanced Micro Devices, ARM Ltd, Clarifai, Entilic, Google, HyperVerge, IBM, Intel, Microsoft, NVIDIA.
For this report, Introspective Market Research have segmented the Deep Learning markets market on the basis of Region:
Regional Outlook (Revenue in USD Million; Volume in Units, 2019-2026)
- North America
- Rest of Europe
- Asia Pacific
- South Korea
- Rest of Asia-Pacific
- Middle East & Africa
- Saudi Arabia
- South Africa
- Rest of MEA
- Latin America
- Rest of LATAM