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Deep Learning Market to Grow at a CAGR of 41.7% - 2018-2023 Market by Offering, Application, End-User Industry & Geography - ResearchAndMarkets.com

The "Deep Learning Market by Offering (Hardware, Software, and Services), Application (Image Recognition, Signal Recognition, Data Mining), End-User Industry (Security, Marketing, Healthcare, Fintech, Automotive) & Geography - Global Forecast to 2023" report has been added to ResearchAndMarkets.com's offering.

Deep Learning Market is Expected to be Worth USD 3.18 Billion in 2018 and is Likely to Reach USD 18.16 Billion By 2023, at a CAGR Of 41.7% from 2018 to 2023.

The growth of the deep learning market can be attributed to improving computing power and declining hardware cost. However, the lack of technical expertise and absence of standards and protocols, and increasing complexity in hardware due to complex algorithm used in deep learning technology are restraining the growth of the deep learning market.

The market for services is expected to grow at the highest CAGR from 2018 to 2023. Deep learning technology is highly complex in nature requiring the implementation of sophisticated algorithms. Deep learning systems require installation; training; and support and maintenance services. Installation services allow the software to be integrated with the analytics side to enable data retrieval and generate desired result through computation. The use of computer systems for DL/AI further increases the amount of work involved in installation.

In terms of hardware, processor held the largest size of the deep learning market in 2017. Companies in industries such as healthcare and finance are investing in machine learning infrastructure. High parallel processing capabilities and improved computing power have resulted in the high adoption of GPUs in various DL applications.

The market for the manufacturing industry is expected to witness the highest growth during the forecast period. Deep learning technology is used in industrial robots, machine vision systems, and others to improve the process and product quality, minimize cycle time, and increase the efficiency of the manufacturing process as a whole.

Key Topics Covered:

1 Introduction

2 Research Methodology

3 Executive Summary

4 Premium Insights

5 Market Overview

6 Deep Learning Market, By Offering

7 Deep Learning Market, By Application

8 Deep Learning Market, By End-User Industry

9 Geographic Analysis

10 Competitive Landscape

11 Company Profiles

  • AMD
  • Adapteva, Inc.
  • Amazon Web Services (AWS)
  • Baidu
  • Fujitsu
  • General Vision
  • Google
  • Graphcore
  • Huawei Technologies
  • IBM
  • Intel
  • Koniku
  • Mellanox Technologies
  • Micron Technology
  • Microsoft
  • Mythic
  • Nvidia
  • Qualcomm
  • Samsung Electronics
  • Sensory Inc.
  • Skymind
  • Tenstorrent
  • Xilinx

For more information about this report visit https://www.researchandmarkets.com/research/62h8qd/deep_learning?w=4

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Related Topics: Artificial Intelligence , Machine Learning and Data Mining

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