Deep Learning Market 2019: Company Profiles, Emerging Technologies, Global Segments, Landscape and Demand by Forecast to 2023

“Deep Learning Market”
Global Deep Learning Market is expected to grow at a CAGR of approximately 41% during the forecast period 2017-2023.

Deep Learning Market Highlights:

As per the latest report published by Market Research Future (MRFR), the global deep learning market is expected to post a compound annual growth rate (CAGR) of 41% during the forecast period (2017-2023).

Deep learning is a revolutionary technology and has tremendous application potential. It is expected to become the core of robotic technology the years to come. Deep Learning Market enables capabilities that takes robots one set closer to replicating human brain. It facilitates decision making in robots by creating infinite patterns and combinations for real-life situations. Advances in AI and machine learning is making deep learning application robust.

Implementation of Internet of Things (IoT) is not only allowing faster data collection for deep learning but also diversifying the channels through which data is collected. Deep learning solution providers are levering the growing network of physical devices to make their products and service scalable. The rising trend of IoT integration with AI application is expected to influence deep leaning in the forthcoming years.

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Deep Learning Market Competitive Landscape:

Intel Corporation (U.S.), Samsung Electronics Co. Ltd. (South Korea), Qualcomm Technologies (U.S.), Google, Inc. (U.S.), Sensory Inc. (U.S.), Xilinx, Inc. (U.S.), IBM Corporation (U.S.), Amazon Web Services, Inc. (U.S.), Micron Technology (U.S.), NVIDIA (U.S.), and Microsoft Corporation (U.S.) are some of the highly regarded companies that operate in the global market for deep learning.

Deep Learning Market Segmental Analysis:

The report includes a detailed segmental analysis of the market based on component, application and end-user industry.  

By component, the market has been segmented into services, software and hardware. The hardware segmented is further sub-segmented into processor, memory and network. The software segment is further sub-segmented into platform and solution. The services segment is further sub-segmented into support & maintenance, training, and installation. Based on application, the market has been segmented into data mining, image recognition, signal recognition and others. Based on end-user, the market has been segmented into marketing, agriculture, manufacturing, automotive, retail, healthcare, security and others.

Deep Learning Market Regional Analysis:

The market has been covered across regions such as Asia Pacific, North America, Europe, the Middle East, Africa and Latin America. North America is one of the most attractive market for deep learning solutions. Countries such as the U.S. and Canada are technologically advanced, which allows a faster adoption deep learning. In terms of revenue, the U.S. leads the North America deep learning market.

The market in North America is driving by the increased adoption of deep learning applications in enterprises. Moreover, deep learning application scope in large scale industry verticals in the region is expected to grow further in the years to come. North America is followed by Europe and Asia Pacific, respectively. In Europe, EU’s efforts to modernize sectors and remain competitive is driving adoption of cutting-edge technologies such as deep learning, AI and machine learning.

Industry News:

  • Tel Aviv based startup Run.AI has recently announced that the company has raised $ 13 Mn. The company, which has been working on a unique deep learning virtualization and acceleration platform came out the stealth with this announcement.  The funding round was mainly led by TLV partners and Haim Sadger’s S Capital.
  • Skymin a U.S. based Deep learning solution provider raised $ 11.5 Mn Series A round, which was led by TransLink Capital, with participation form Sumitomo’s Presidio Ventures, GovTech Fund, ServiceNow UpHonest Capital. Some of the other investors include Tencent, Y Combinator, Hemi Ventures, GMO Ventures and Mandra Capital. This funding round will help Skymind bring deep learning to more enterprises.

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Intended Audience:

  • 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


About Market Research Future:

At Market Research Future (MRFR), we enable our customers to unravel the complexity of various industries through our Cooked Research Report (CRR), Half-Cooked Research Reports (HCRR), Raw Research Reports (3R), Continuous-Feed Research (CFR), and Market Research & Consulting Services.

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