The deep learning market is quadrupling mainly due to the diverse application and ability of deep learning to learn and solve real-life problems using the data. Moreover, factors such as the increasingly automated lifestyle and the increasing implementation of deep learning and AI-based systems in antivirus and antimalware solutions escalate the market on the global platform.
Considering the colossal growth, the market perceives currently, Market Research Future (MRFR) in its recently published study report asserts that the global deep learning market is poised to grow exponentially, registering a robust CAGR around 41% throughout the forecast period (2017 – 2023).
Additional factors promoting the growth of Deep Learning Market are the proliferation of smart, connected, mobile devices and the adoption of cloud-based services and growing usage of deep learning in big data analytics. Furthermore, factors such as the tremendous growth of smart apps, digital assistants, and mainstream use of Artificial Intelligence is further contributing to the growth of deep learning market.
Also, factors like the market penetration of drones and self-driving cars alongside the domain-specific and deep learning-enabled technologies will foster the growth of the market.
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Key players leading the global deep learning market include Intel Corporation (U.S.), NVIDIA (U.S.), Xilinx, Inc. (U.S.), Micron Technology (U.S.), Samsung Electronics Co. Ltd. (South Korea), Qualcomm Technologies (U.S.), Google, Inc. (U.S.), IBM Corporation (U.S.), Microsoft Corporation (U.S.), Amazon Web Services, Inc. (U.S.), and Sensory Inc. (U.S.) among others.
Deep Learning Market Segments:
The MRFR analysis is segmented into four key dynamics for enhanced understanding.
- By Component: Hardware, Software, and Services.
- By Applications: Signal Recognition, Image Recognition, and Data Mining among others.
- By End-user Industry: Automotive, Healthcare, Manufacturing, Retail, Agriculture, Security, and Marketing among others.
- By Regions: Asia Pacific,North America, Europe, and the Rest-of-the-World.
Deep Learning Market Regional Analysis:
Currently, the North American region dominates the global deep learning market with the largest market share due to the well-established infrastructure that allows faster implementation of advanced technologies.
Additionally, factors such as the increasing demand for deep learning technology applications and the growing demand for deep learning in security across various industry verticals are fostering the growth of the regional market.
Technologically well-developed countries such as the US and Canada account for the key contributors for the market growth. Moreover, factors such as the high investment made in the development of technologies and the increasing demand for deep learning technology applications are boosting the growth of the regional market.
The European region stands the second position in terms of market share due to the massive industrialization over the last decade in various countries of the region. Factors such as the rapid advancements in computer programs across different industries and emerging start-ups which mainly focus on innovation and commercialization of deep learning technologies support the growth of the regional market.
London is Europe’s startup center, mixing capital, proximity to markets, and world-class research hubs. Moreover, the technologically matured countries such as the UK, Germany, and France will drive the growth in the regional market.
The deep learning market in the Asia Pacific region has emerged as a substantially growing market holding a considerable market share. The region is expected to create a substantial revenue pocket by the end of the forecast period. The growth of the APAC market is attributed to the advancements in the electronics industry and increasing demand for deep learning technology across various industry verticals.
Deep Learning Market Competitive Analysis:
The deep learning market appears to be highly competitive characterized by the presence of several well-established as well as small players. Matured players incorporate strategic initiatives such as acquisition, collaboration, partnership, expansion, and technology launch in order to gain a competitive advantage and thus to maintain their positions in this market.
Well-established players are increasingly investing in R&D to develop a cost-effective product portfolio and are seeking expansion through various strategic initiatives. Growth in terms of innovations in technologies and product is expected to create strong investment opportunities for global players.
These players are focusing on improving their market performance and expansion by acquiring promising companies in the fast-growing markets in India, China, Indonesia, Brazil, and South Africa.
They employ a continuous improvement strategy to analyze and update products, implementing improvements and launch new technologies to meet the changing needs of the consumer. The deep learning market is expected to witness the entry of several new players who are technologically advanced to capture a significant portion of the fast-moving market of deep learning in the coming years.
January 17, 2019 — Spell (the US), a start-up offering the most flexible and powerful end-to-end platform for ML and deep learning engineering introduced its new, end-to-end deep learning platform built with AI and designed to empower teams and businesses across different sectors.
This development reflects Spell’s commitment to providing greater accessibility to the advanced AI tools used at only the largest tech companies. Alongside the launch of new product offerings, Spell also announced raising USD 15 MN in a funding round. Spell is planning to invest these funds in incorporating more advancements and power even larger organizations while continuing to bring AI and deep learning to more of the global workforce.
January 24, 2019 — Intel Corporation (the US), a multinational corporation and technology company released a new platform dubbed Nauta that lets data scientists and developers use Kubernetes and Docker to conduct distributed deep learning (DL) at scale.
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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
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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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