Deep learning is considered to be a subset of machine learning. It is an artificial intelligence function that imitates the working of a human brain in order to process data and create patterns which can be used for decision making. Machine Learning is one way to attain AI, and deep learning is an advancement of machine learning. Both machine learning and deep learning require a large volume of data to work with. This data can be acquired from anywhere such as the Internet of Things (IoT) which is the growing network of physical devices such as smartphones that are accessible via the internet. Artificial Intelligence is a generic term for intelligence displayed by machines. The relationship between artificial intelligence and internet of things is complimentary. Artificial intelligence makes use of information from IoT as it needs data to work and with that data obtained from internet of things applications, AI becomes more reliable. With both advancing rapidly, the possibilities are endless.
NVIDIA, Intel Corporation, Samsung Electronics, Micron Technology, Qualcomm Technologies, IBM Corporation, Google, Inc., and Microsoft Corporation are a few major players in the global deep learning market. Researchers from NVIDIA have created a deep-learning system that can teach a robot, by merely observing a human’s actions. According to Nvidia, artificial intelligence and deep learning technology are designed to improve communication between robots and humans, which will further allow them to collaborate.
By end user industry, security sub-segment is expected to hold the largest share of the global deep learning market. This is owing to the increasing implementation of deep learning and AI-based systems in antivirus and antimalware solutions. The increasing use of mobile devices across various applications such as emails, remote monitoring, data storage, social networking among others is making the network more vulnerable to cyber threats. Also, the rise in adoption of cloud-based services and growing usage of deep learning in big data analytics is further contributing to the growth of deep learning market.
The global Deep LearningMarket is projected to reach USD 18 billion at a CAGR of over 41% by the end of the forecast period 2017-2023.
Major Key Players:
- NVIDIA (U.S.)
- Intel Corporation (U.S.)
- Xilinx, Inc. (U.S.)
- Samsung Electronics Co. Ltd. (South Korea)
- Micron Technology (U.S.)
- Qualcomm Technologies (U.S.)
- IBM Corporation (U.S.)
- Google, Inc. (U.S.)
- Microsoft Corporation (U.S.)
- Sensory Inc. (U.S.)
- Amazon Web Services, Inc. (U.S.)
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The global deep learning market is studied under Asia Pacific, North America, Europe, and Rest of the World. Asia Pacific is estimated to account for the largest share of the market and is also expected to grow with the fastest rate during the forecast period.
The growth of the market in North America is attributed to advancements in the electronics industry and increasing demand for deep learning technology across various industry verticals. Also, strong presence of industry giants is another major factor driving the growth of deep learning market in the region.
Deep Learning Market Segmentation:
The global deep learning market is segmented by the component, application, and end-user industry. The component segment is further segmented into hardware, software, and services. Among these, the software sub-segment is expected to hold the largest share of the global deep learning market, whereas the services sub-segment is expected to grow at the highest rate during the forecast period.
This is owing to the increasing demand for different types of software, including application program interfaces to realize the applications for cybersecurity and the services that follow post installation of such software applications.
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- Technology Investors
- Research/Consultancy Firms
- Consulting Service Providers
- System integrators
- AI solution providers
- AI platform providers
- Cloud service providers
- Technology providers
- AI system providers
- Universities and research organizations
- Investors and venture capitalists
Table of Contents
1 Executive Summary
2 Scope of the Report
2.1 Market Definition
2.2 Scope of the Study
2.2.1 Research Objectives
2.2.2 Assumptions & Limitations
2.3 Markets Structure
3 Market Research Methodology
3.1 Research Process
3.2 Secondary Research
3.3 Primary Research
3.4 Forecast Model
List of Tables
Table 1 Global Deep Learning Market: By Region, 2017-2023
Table 2 North America Deep Learning Market: By Country, 2017-2023
Table 3 Europe Deep Learning Market: By Country, 2017-2023
List of Figures
Figure 1 Global Deep Learning Market Segmentation
Figure 2 Forecast Methodology
Figure 3 Five Forces Analysis of Global Deep Learning Market
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